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        // ======================================================
        // TITLE
        // ======================================================
        new Paragraph({
          children: [new TextRun({ text: 'Community-Based Multi-Component Interventions for Obesity Prevention in Young Adults (<30 years)', bold: true, size: 32, color: '1F3864' })],
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        // ======================================================
        // OBJECTIVES AND RESEARCH QUESTIONS
        // ======================================================
        heading1('OBJECTIVES AND RESEARCH QUESTIONS'),

        heading2('Research Objectives'),
        body('This study adopts a hierarchical objective structure consistent with best practice in clinical trial design (Schulz & Grimes, 2005). One primary objective drives the primary analysis and sample size calculation; secondary and exploratory objectives address mechanistic, contextual, and longer-term questions.'),
        emptyLine(),

        heading3('Primary Objective'),
        body('To determine the effectiveness of a community-based multi-component intervention (combining dietary, physical activity, behavioural, and environmental components) in preventing progression to overweight or obesity compared with a health-information-only control arm, as measured by change in BMI (kg/m²) from baseline to 12 months in young adults aged 18–29 years in Lusaka, Zambia.'),
        emptyLine(),

        heading3('Secondary Objectives'),
        bullet('Objective 2 – Behavioural mediators: To explore whether self-monitoring, personalised goal-setting, and peer feedback mediate intervention-related changes in BMI and lifestyle behaviours.'),
        bullet('Objective 3 – Environmental supports: To investigate how environmental and policy-level supports (food access, built-environment features, workplace/campus initiatives) modify obesity prevention outcomes at the community level.'),
        bullet('Objective 4 – Long-term outcomes: To evaluate the sustained impact of the intervention on BMI trajectories, incidence of obesity (BMI ≥ 30 kg/m²), and cardiometabolic risk markers at 12 months and, where retention permits, beyond.'),
        emptyLine(),

        heading2('Research Questions, Outcome Measures, and Planned Analyses'),
        body('Each research question is mapped directly to a pre-specified outcome measure and a statistical analysis plan, in accordance with SPIRIT 2013 and CONSORT 2010 extension for cluster trials (Chan et al., 2013; Campbell et al., 2012).'),
        emptyLine(),

        boldBody('RQ1 (Primary): ', 'Does the multi-component community-based intervention reduce BMI at 12 months compared with health-information-only control?'),
        bullet('Outcome measure: Change in BMI (kg/m²) from baseline to 12 months, measured by calibrated stadiometer and digital scale using WHO standardised protocols.'),
        bullet('Analysis: Linear mixed-effects regression (primary statistical model) with BMI change as the dependent variable, treatment arm as the fixed effect, and cluster as a random intercept to account for within-cluster correlation. Baseline BMI, age, sex, and socioeconomic status will be included as covariates. Intention-to-treat (ITT) principle applied throughout.'),
        emptyLine(),

        boldBody('RQ2 (Secondary): ', 'Which behavioural strategies are most effective in sustaining lifestyle changes, and do self-monitoring and goal-setting mediate BMI reduction?'),
        bullet('Outcome measures: (a) Self-reported physical activity (International Physical Activity Questionnaire – IPAQ short form, validated in sub-Saharan Africa); (b) dietary quality score derived from 24-hour dietary recall; (c) self-efficacy scale (General Self-Efficacy Scale, Schwarzer & Jerusalem, 1995).'),
        bullet('Analysis: Causal mediation analysis (Baron & Kenny approach with bootstrapped confidence intervals) applied to the intention-to-treat sample. Mediation will be treated as exploratory and the analyses will not be powered for mediation pathways specifically.'),
        emptyLine(),

        boldBody('RQ3 (Secondary): ', 'Do environmental and policy-level supports modify the effect of the intervention on BMI outcomes?'),
        bullet('Outcome measures: Intervention effect size (BMI change) stratified by community-level measures: (a) distance to nearest food market offering fresh produce (GPS-measured); (b) availability of safe walking or exercise space (community audit score); (c) presence of workplace or campus wellness policy.'),
        bullet('Analysis: Exploratory moderation analysis using cross-level interaction terms (individual BMI change × community environment score) within the mixed-effects model. These analyses are hypothesis-generating and are not independently powered.'),
        emptyLine(),

        boldBody('RQ4 (Secondary/Exploratory): ', 'What is the long-term impact of the intervention on obesity incidence and cardiometabolic markers?'),
        bullet('Outcome measures: (a) Incidence of obesity (BMI ≥ 30 kg/m²) at 12 months; (b) waist circumference (cm); (c) fasting plasma glucose (mmol/L); (d) HbA1c (%); (e) fasting lipid profile (total cholesterol, LDL, HDL, triglycerides in mmol/L).'),
        bullet('Analysis: Incidence of obesity will be compared between arms using log-binomial regression to estimate risk ratios with cluster-robust standard errors. Continuous cardiometabolic outcomes will use the same mixed-effects regression framework as the primary analysis. These are secondary endpoints; no adjustment for multiplicity is pre-planned, and results will be interpreted descriptively.'),
        emptyLine(),

        // ======================================================
        // METHODOLOGY
        // ======================================================
        heading1('METHODOLOGY'),

        // STUDY DESIGN
        heading2('Study Design'),
        body('This study will employ a two-arm parallel cluster randomised controlled trial (cluster RCT) design, following the CONSORT 2010 extension for cluster randomised trials (Campbell et al., 2012) and SPIRIT 2013 guidance for trial protocols (Chan et al., 2013).'),
        emptyLine(),

        heading3('Justification for Cluster Randomisation'),
        body('Cluster randomisation was selected for three reasons. First, the intervention operates at the community level through environmental modifications, mass media campaigns, and community health worker (CHW) delivery; these elements cannot be meaningfully provided to individuals within the same community without contaminating the control arm. Second, randomising individuals within the same setting to different arms would create co-intervention bias, as participants share social networks, food environments, and physical infrastructure (Donner & Klar, 2000). Third, cluster designs are well-established in community-based obesity prevention research (Adab et al., 2015; Li et al., 2017), providing a precedent for this approach in comparable trials.'),
        emptyLine(),

        heading3('Choice of Cluster Unit'),
        body('Geographically defined community zones within Lusaka Province (e.g., distinct residential compounds, peri-urban wards, or urban neighbourhood units) will serve as the unit of randomisation. These natural geographic clusters were chosen over institutional clusters (e.g., individual workplaces or campuses) because: (a) they capture the full ecological context of the intervention including food retail, built environment, and social norms; (b) they reduce the risk of cluster-level selection bias that arises when clusters are defined by voluntary enrolment; and (c) geographic clusters are a standard unit in community-level NCD prevention trials in sub-Saharan Africa (Willmott et al., 2022). Approximately 24 to 30 community clusters are planned across intervention and control arms (see Sample Size section).'),
        emptyLine(),

        heading3('Allocation Concealment and Randomisation Procedure'),
        body('Cluster-level randomisation will be conducted by an independent statistician with no involvement in participant recruitment or outcome assessment. Eligible community clusters will be identified and matched on the following variables prior to randomisation: (a) urban/peri-urban classification; (b) approximate socioeconomic profile (tertile of household poverty index derived from Zambia DHS 2024 data); and (c) estimated adult population size.'),
        body('Within each matched pair, one cluster will be randomly allocated to the intervention arm and the other to the control arm using a computer-generated random number sequence (e.g., R software function sample()). The allocation sequence will be held by the independent statistician and released to the field team only after baseline data collection for all clusters in a matched pair is complete, ensuring that baseline assessments are conducted without knowledge of assignment. Cluster allocations will be documented in a secure, password-protected file with audit trail.'),
        emptyLine(),

        heading3('Blinding'),
        body('Due to the nature of community-level behavioural interventions, participants and intervention facilitators cannot be blinded to arm assignment. However, the following blinding procedures will be applied:'),
        bullet('Outcome assessors: Research assistants responsible for anthropometric, biochemical, and questionnaire data collection will be blinded to cluster allocation at all time points (baseline, 6 months, and 12 months). They will not be involved in intervention delivery and will be explicitly instructed not to enquire about or record arm assignment. Blinding will be verified by asking assessors to record their guess of cluster assignment at each follow-up visit; concordance with actual assignment will be reported in the trial publication.'),
        bullet('Data analysts: The primary outcome analysis will be conducted on a blinded dataset (arms coded as A and B) until the analysis plan is finalised and signed off, at which point the allocation key will be released.'),
        emptyLine(),

        // STUDY SETTING
        heading2('Study Setting'),

        heading3('Selection of Lusaka and Justification'),
        body('The study will be conducted in Lusaka Province, the capital and most populous province of Zambia (population approximately 3.7 million as of 2022 Census projections). Lusaka was selected for the following reasons:'),
        bullet('Epidemiological burden: Lusaka has the highest urban concentration of overweight and obesity in Zambia. Data from the 2024 Zambia Demographic and Health Survey (ZDHS 2024) indicate that among urban women aged 20–49, the prevalence of overweight and obesity substantially exceeds rural equivalents (urban: combined overweight/obesity approximately 35–40%; rural: approximately 15%). Community-based surveys in Lusaka have previously recorded an overall obesity prevalence of 14.2% (5.1% men, 18.6% women), with overweight rates adding a further 20–25% of the population (Rudatsikira et al., 2012). Among women aged 20–29 specifically, the ZDHS 2024 shows that overweight/obesity prevalence is rising compared with the 2013–14 survey, signalling an accelerating transition in young adults.'),
        bullet('Double burden context: Zambia faces a nutritional double burden, with undernutrition persisting alongside rising rates of overweight and obesity, particularly in urban settings. Lusaka is the epicentre of this transition and therefore offers high scientific and policy relevance (Global Nutrition Report, 2024).'),
        bullet('Infrastructure and feasibility: Lusaka has an established network of urban health centres, Community Health Assistants (CHAs), and NGO health platforms that can support CHW training and delivery. The city hosts the University of Zambia School of Public Health and the Zambia National Public Health Institute (ZNPHI), providing academic and logistical infrastructure for the trial.'),
        bullet('Research environment: Lusaka has hosted previous community-based NCD intervention research, providing familiarity with research ethics procedures at the University of Zambia Biomedical Research Ethics Committee (UNZABREC) and the Zambia Medicines Regulatory Authority (ZAMRA) notification pathway for public health research.'),
        emptyLine(),

        heading3('Population Demographics and Number of Communities'),
        body('Lusaka Province is predominantly urban (approximately 80% urban residence), with a high proportion of young adults: the 15–34 age group constitutes over 40% of the provincial population (Zambia Statistics Agency, 2022). The province is linguistically diverse, with Nyanja and English as primary languages of urban communication. Socioeconomic heterogeneity is marked, ranging from high-income formal settlements to densely populated low-income compounds (e.g., Mtendere, Kanyama, Chaisa).'),
        body('Approximately 24–30 geographically defined community clusters are planned across the two arms (12–15 per arm). Each cluster will be a defined neighbourhood or ward unit with an estimated population of 500–1,000 young adults aged 18–29 years, from which a target sample of 35–50 eligible participants per cluster will be recruited. The final number of clusters will be confirmed following a mapping exercise and feasibility assessment conducted prior to the trial start.'),
        emptyLine(),

        // TARGET POPULATION
        heading2('Target Population and Inclusion Criteria'),

        heading3('Clarification of Study Aim and BMI Eligibility'),
        body('This study is designed as a prevention and early intervention trial addressing both primary prevention (preventing normal-weight individuals from transitioning to overweight) and secondary prevention (halting or reversing the progression from overweight to obesity). This dual framing resolves the apparent inconsistency in the original protocol between the stated target population (BMI ≥ 25 kg/m²) and the inclusion criterion (BMI ≥ 18.5 kg/m²).'),
        body('The rationale for including normal-weight individuals (BMI 18.5–24.9 kg/m²) is as follows: (a) the intervention is community-delivered and therefore operates at population level; (b) young adulthood (18–29 years) is a period of rapid weight gain and is an optimal window for upstream prevention before BMI trajectories become entrenched (Wong et al., 2020); and (c) pragmatic community-based interventions targeting only overweight individuals would require screening and selective enrolment that is logistically challenging in a community cluster design. The study is therefore best characterised as a combined prevention trial, consistent with the WHO guidance on population-based approaches to NCD prevention.'),
        emptyLine(),

        heading3('Justification for the 18–29 Year Age Group'),
        body('The 18–29 year age group was selected for three reasons:'),
        bullet('High-risk transition period: Cross-sectional and longitudinal data consistently show that mean BMI increases most steeply between ages 18 and 35, driven by changes in diet, physical activity, occupational patterns, and social environment during the transition from adolescence to adulthood (NICE, 2024; WHO, 2000).'),
        bullet('Underserved group: Existing weight management services in Zambia and most low- and middle-income countries are primarily oriented towards middle-aged and older adults with established cardiometabolic disease. Young adults are rarely targeted by dedicated obesity prevention programming.'),
        bullet('Life-course leverage: BMI established by age 25–30 is a strong predictor of cardiometabolic disease risk, mortality, and quality of life across the life course (Wong et al., 2020). Intervening before these trajectories are consolidated offers maximum long-term population health benefit.'),
        emptyLine(),

        heading3('Inclusion Criteria'),
        bullet('Age 18–29 years (inclusive) at enrolment.'),
        bullet('BMI ≥ 18.5 kg/m² (encompassing normal weight, overweight, and obese categories; individuals with BMI < 18.5 kg/m² will be excluded as the intervention is not appropriate for underweight individuals).'),
        bullet('Residing in, or regularly present in (defined as ≥ 4 days per week), a selected cluster community for at least 6 months prior to enrolment.'),
        bullet('Able to provide written informed consent in English or Nyanja.'),
        bullet('Willing to participate for the full 12-month study duration.'),
        emptyLine(),

        heading3('Exclusion Criteria'),
        bullet('Currently pregnant or breastfeeding. (See management note below.)'),
        bullet('Diagnosed severe eating disorder (anorexia nervosa, bulimia nervosa, binge eating disorder) currently under active treatment.'),
        bullet('Medical condition that precludes participation in moderate physical activity without direct medical supervision (e.g., uncontrolled cardiac disease, severe respiratory disease, musculoskeletal conditions assessed by a clinician as precluding exercise).'),
        bullet('BMI < 18.5 kg/m² (underweight) at baseline screening.'),
        bullet('Currently enrolled in a separate structured weight management programme or clinical trial.'),
        bullet('Planning to relocate outside the study area within 12 months.'),
        bullet('Any condition that, in the opinion of the principal investigator, would compromise safety or data integrity (e.g., severe mental illness requiring inpatient care).'),
        emptyLine(),

        heading3('Management of Pregnancy During Follow-Up'),
        body('Participants who become pregnant during the 12-month follow-up period will not be withdrawn from the study but will be managed as follows: (a) dietary and physical activity coaching will be adapted to pregnancy-safe guidelines by a qualified dietitian or midwife; (b) anthropometric outcomes (BMI, waist circumference) will continue to be collected but pregnancy-period measurements will be flagged and excluded from the primary per-protocol analysis; (c) pregnant participants will be included in the ITT analysis with last-observation-carried-forward imputation for flagged time points; (d) a sensitivity analysis excluding all participants who became pregnant will be pre-specified. This approach ensures participant safety, maintains retention, and allows transparent reporting of any differential pregnancy rates between arms.'),
        emptyLine(),

        // SAMPLE SIZE
        heading2('Sample Size Calculation'),

        heading3('Primary Endpoint and Effect Size'),
        body('The primary endpoint is change in BMI (kg/m²) from baseline to 12 months. Based on a systematic review of community-based obesity prevention trials in young adults and comparable sub-Saharan African settings, a minimum clinically important difference of 0.5 kg/m² is considered meaningful (WHO, 2000), with an assumed standard deviation of 2.5 kg/m² for BMI change (pooled from available trial data).'),
        emptyLine(),

        heading3('Calculation Parameters'),
        bullet('Effect size: 0.5 kg/m² difference in BMI change between arms (SD = 2.5 kg/m²).'),
        bullet('Power: 80%.'),
        bullet('Two-sided significance level: α = 0.05.'),
        bullet('Intraclass correlation coefficient (ICC): 0.02 (lower bound from community-based obesity trials; Gray et al., 2016; Donner & Klar, 2000). A sensitivity calculation using ICC = 0.05 will also be presented.'),
        bullet('Average cluster size (m): 40 participants per cluster (anticipated enrolment based on community mapping estimates).'),
        bullet('Design effect (DEFF): DEFF = 1 + (m − 1) × ICC = 1 + (39 × 0.02) = 1.78.'),
        bullet('Individual-level sample size (no clustering): n = 2 × [(z_α/2 + z_β)² × σ² / δ²] = 2 × [(1.96 + 0.842)² × 6.25 / 0.25] ≈ 394 participants total (197 per arm).'),
        bullet('Cluster-adjusted sample size: 394 × 1.78 ≈ 701 participants.'),
        bullet('Attrition adjustment: 20% assumed dropout rate over 12 months, yielding adjusted total of 701 / 0.80 ≈ 877 participants.'),
        bullet('Number of clusters required: 877 / 40 ≈ 22 clusters (11 per arm). To provide additional power margin and allow for possible cluster dropout, 24–30 clusters (12–15 per arm) are planned.'),
        emptyLine(),

        heading3('Final Planned Sample'),
        body('Target enrolment: 960–1,200 participants across 24–30 clusters (800 minimum for 80% power; 1,200 provides additional buffer). Final sample size and number of clusters will be confirmed using simulation methods in R (package clusterPower) or Stata (xtmixed-based simulation) prior to trial registration. All sample size parameters will be pre-specified in the trial registration record and the final protocol.'),
        emptyLine(),

        // INTERVENTION
        heading2('Intervention Components'),
        body('The multi-component intervention follows a Social-Ecological Model framework (Stokols, 1996), targeting determinants of obesity at individual, interpersonal, organisational, and community levels. The intervention is described in accordance with the Template for Intervention Description and Replication (TIDieR) checklist (Hoffmann et al., 2014).'),
        emptyLine(),

        heading3('TIDieR Item 1: Brief Name'),
        body('Community-Based Multi-Component Obesity Prevention Intervention (CMOPI-ZM).'),
        emptyLine(),

        heading3('TIDieR Item 2: Why – Theoretical Rationale'),
        body('The intervention is grounded in Social Cognitive Theory (Bandura, 1986) and the Behaviour Change Wheel (Michie et al., 2011), targeting the mechanisms of self-efficacy, outcome expectancies, social reinforcement, and environmental opportunity. Obesity in young adults in urban Lusaka is driven by a combination of individual behaviour, social norms, and obesogenic environmental features (easy availability of ultra-processed foods, limited safe spaces for physical activity); the multi-level approach addresses all three domains simultaneously.'),
        emptyLine(),

        heading3('TIDieR Item 3: Materials'),
        bullet('Printed and illustrated dietary guidance materials (available in English and Nyanja).'),
        bullet('A mobile health (mHealth) application to support self-monitoring of diet, physical activity, and goal progress. The application does not currently exist and will be developed prior to the trial as a purpose-built tool, using open-source frameworks (e.g., React Native). A 3-month pilot feasibility phase will test usability and acceptability before full trial launch. The app will be available on Android and accessible via basic smartphone; an offline-capable version will be developed for low-connectivity settings. A paper-based equivalent (goal-tracking diary) will be provided to participants without smartphone access.'),
        bullet('Group session facilitator manuals and fidelity checklists.'),
        bullet('Community environment audit tools and poster materials for community-level campaigns.'),
        emptyLine(),

        heading3('TIDieR Item 4: Procedures – Individual Level'),
        bullet('Content: Personalised dietary coaching (portion control, reducing ultra-processed food consumption, increasing fruit and vegetable intake); individual physical activity goal-setting; self-monitoring of diet and activity via mobile app or paper diary; motivational interviewing techniques.'),
        bullet('Frequency and duration: 12 individual coaching contacts over 12 months (monthly), each lasting approximately 30 minutes, delivered face-to-face by a trained CHW or via app-mediated interaction.'),
        bullet('Mode of delivery: In-person at community meeting points or health posts; supplemented by SMS reminders and in-app notifications.'),
        emptyLine(),

        heading3('TIDieR Item 5: Procedures – Interpersonal Level'),
        bullet('Content: Monthly peer support group sessions (groups of 8–12 participants), including cooking demonstrations, group physical activity sessions (e.g., walking groups, group aerobics), and peer-led discussions on social norms and behaviour change.'),
        bullet('Frequency and duration: Monthly group sessions (60–90 minutes) over 12 months (12 sessions total); supplementary informal peer contact facilitated through a closed community messaging group.'),
        bullet('Mode of delivery: In-person at community venues (churches, community halls, open spaces); facilitated by trained peer educators drawn from the community.'),
        emptyLine(),

        heading3('TIDieR Item 6: Procedures – Organisational and Environmental Level'),
        bullet('Content: Partnerships with local food markets to introduce healthy food access (subsidised fruit and vegetable stalls or point-of-choice labelling); partnerships with local gyms, recreational facilities, and employers/schools to provide low-cost or free access to physical activity spaces; environmental audits to identify and advocate for improvements (e.g., safe walking routes).'),
        bullet('Frequency and duration: Environmental partnerships will be established at the start of the trial and maintained throughout the 12-month period. Formal review of environmental changes will occur at 6 and 12 months.'),
        bullet('Mode of delivery: Multi-sector coordination meetings with community leaders, market operators, and workplace/campus managers; written memoranda of understanding where applicable.'),
        emptyLine(),

        heading3('TIDieR Item 7: Procedures – Community Level'),
        bullet('Content: Mass media campaigns (community radio, posters, social media); community health events (e.g., monthly "health days" with free anthropometric screening and nutrition education); policy advocacy through community coalitions targeting local government food and environment policies.'),
        bullet('Frequency and duration: Monthly community health events; radio campaign aired weekly for the first 6 months and fortnightly thereafter; policy advocacy activities ongoing throughout the trial.'),
        bullet('Mode of delivery: Community radio broadcasts, printed and digital posters, and community coalition meetings led by CHWs and community leaders.'),
        emptyLine(),

        heading3('TIDieR Item 8 & 9: Who Provides – Training of Community Health Workers and Peer Educators'),
        body('Trained Community Health Workers (CHAs, who are formally trained and government-registered in Zambia) will lead individual coaching and community-level activities. Peer educators (lay community members) will facilitate group sessions and peer support activities. All CHWs and peer educators will complete a standardised 5-day pre-trial training programme covering: (a) behaviour change communication techniques including motivational interviewing; (b) nutrition education and dietary coaching; (c) physical activity promotion and group facilitation; (d) use of the mobile application and paper-based tools; (e) adverse event recognition and reporting procedures; (f) ethical principles including confidentiality and non-stigmatising communication. Competency will be assessed by structured role-play assessment before deployment. Refresher training (1 day) will be provided at month 6. CHW performance will be monitored monthly through supervision visits by a trial coordinator.'),
        emptyLine(),

        heading3('TIDieR Items 10–12: Fidelity, Tailoring, and Modifications'),
        body('Intervention fidelity will be monitored through: (a) session attendance logs; (b) session delivery checklists completed by CHWs after each contact; (c) bi-monthly supervision visits with direct observation of a randomly selected 10% of sessions; (d) mobile app usage logs (frequency of logins, goal entries). Minor adaptations to content may be made between participants based on individual health profiles (e.g., co-existing hypertension) but the core components (all four levels) will remain consistent across clusters. Any protocol deviations will be documented and reported.'),
        emptyLine(),

        // COMPARATOR
        heading2('Comparator (Control Arm)'),
        body('Control clusters will receive usual care: a single provision of standard public health information leaflets on healthy eating and physical activity (equivalent to materials currently available at Zambia Ministry of Health community health posts), with no structured multi-component support. No active coaching, peer support groups, environmental modifications, or app access will be provided. The information will be delivered by a CHW in a single session of approximately 15 minutes at enrolment, with no follow-up contacts.'),
        emptyLine(),

        heading3('Minimising Contamination Between Arms'),
        body('The risk of contamination between intervention and control communities is directly addressed through the use of geographic cluster randomisation. Communities are spatially separated, with a minimum inter-cluster buffer distance of 2 kilometres (to be confirmed during community mapping). Additional measures include:'),
        bullet('Geographic clusters will be selected to minimise shared social or commercial spaces (e.g., the same market or workplace should not span both an intervention and a control cluster).'),
        bullet('Participants will be instructed at enrolment not to share intervention materials with individuals outside their cluster; this will be reinforced verbally at each contact.'),
        bullet('Contamination will be monitored through a process evaluation survey at 6 and 12 months asking control arm participants whether they received or sought out additional dietary or physical activity support beyond usual health services.'),
        bullet('Any evidence of contamination will be reported and a sensitivity analysis excluding contaminated clusters will be pre-specified.'),
        emptyLine(),

        // OUTCOMES
        heading2('Outcomes'),

        heading3('Primary Outcome'),
        body('Change in BMI (kg/m²) from baseline to 12 months. BMI is selected as the single primary outcome because it is a continuous, internationally standardised measure of adiposity with established clinical cut-points, it is sensitive to change over a 12-month intervention period, and it underpins the primary sample size calculation. Waist circumference will be measured as a secondary outcome rather than co-primary, given the practical advantage of a single, pre-specified primary endpoint for trial registration and regulatory clarity.'),
        emptyLine(),

        heading3('Justification for BMI as Primary Outcome'),
        body('Although waist circumference may be a more sensitive measure of cardiometabolic risk at a given BMI (especially in African populations where adiposity distribution differs from European reference standards), BMI was selected as the primary endpoint because: (a) it is directly linked to the sample size calculation; (b) it is the most widely used endpoint in comparable multi-component obesity prevention trials, facilitating meta-analytic comparison; (c) standardised measurement of BMI has lower inter-observer variability than waist circumference in field settings. Waist circumference will be reported as a secondary cardiometabolic endpoint alongside metabolic markers.'),
        emptyLine(),

        heading3('Secondary Outcomes'),
        bullet('Waist circumference (cm): measured at the midpoint between the lower costal margin and iliac crest using a non-elastic tape measure, with the participant standing and in light clothing (WHO protocol).'),
        bullet('Physical activity level: IPAQ short form (7-day recall), validated and widely used in sub-Saharan Africa. Accelerometry (GENEActiv wrist-worn device or equivalent) will be used in a 20% subsample for objective validation of self-report.'),
        bullet('Dietary intake: Interviewer-administered 24-hour dietary recall (multiple-pass method) at each time point, analysed using the Zambia-specific food composition database or FAO/INFOODS. A validated food frequency questionnaire (FFQ adapted for Zambian dietary patterns) will supplement this at 12 months.'),
        bullet('Behavioural mediators: Self-efficacy assessed by the General Self-Efficacy Scale (GSE-10; Schwarzer & Jerusalem, 1995). Social norm perceptions assessed by a 5-item adapted scale.'),
        bullet('Health-related quality of life: Short Form-12 (SF-12; Ware et al., 1996), validated for use in sub-Saharan Africa, administered at baseline and 12 months.'),
        bullet('Mental health: Patient Health Questionnaire-9 (PHQ-9) for depression screening and the Generalised Anxiety Disorder 7-item scale (GAD-7), both validated in Zambian and broader African populations.'),
        bullet('Cardiometabolic markers: Fasting venous blood sample for: HbA1c (%), fasting plasma glucose (mmol/L), total cholesterol (mmol/L), LDL-cholesterol (mmol/L), HDL-cholesterol (mmol/L), and triglycerides (mmol/L). Measured at baseline and 12 months only.'),
        bullet('Incidence of obesity: New onset BMI ≥ 30 kg/m² among participants with baseline BMI < 30 kg/m².'),
        emptyLine(),

        heading3('Process Measures'),
        bullet('Reach: Proportion of eligible community members enrolled.'),
        bullet('Dose delivered: Number and proportion of planned sessions completed per participant.'),
        bullet('Acceptability: Post-intervention satisfaction survey (5-point Likert scale).'),
        bullet('App engagement: Frequency of logins and goal entries per participant per month.'),
        emptyLine(),

        // DATA COLLECTION
        heading2('Data Collection'),

        heading3('Timeline and Sources'),
        body('Data will be collected at three time points: baseline (T0), 6 months (T1), and 12 months (T2). Biochemical measures will be collected at T0 and T2 only to minimise participant burden. All data sources are summarised as follows:'),
        bullet('Anthropometric: Height (calibrated stadiometer, Seca 213), weight (calibrated digital floor scale, Seca 876), waist circumference (non-elastic tape measure). All measurements conducted in duplicate; mean used; a third measurement taken if duplicates differ by > 0.5 kg (weight) or > 1 cm (waist).'),
        bullet('Biochemical: Fasting venous blood drawn by a trained phlebotomist. Samples processed within 2 hours at a certified laboratory (ZNPHI or University Teaching Hospital laboratory, Lusaka).'),
        bullet('Questionnaire data: Administered by trained research assistants using electronic data capture (Open Data Kit, ODK) on tablet devices. Paper backup will be available in case of device failure.'),
        bullet('App usage data: Automatically logged server-side with daily extraction to the study database.'),
        emptyLine(),

        heading3('Assessor Training and Standardisation'),
        body('All research assistants conducting outcome assessments will attend a 2-day standardisation training prior to data collection, covering: (a) anthropometric measurement protocols (WHO methods, duplicate measurement procedures, equipment calibration checks); (b) phlebotomy and sample handling procedures; (c) questionnaire administration (scripted procedures to minimise interviewer bias); (d) data entry using ODK. Intra-observer and inter-observer technical error of measurement (TEM) will be calculated during training; assessors with TEM > acceptable threshold will receive additional training before being authorised to collect data. Equipment calibration will be checked at the start and end of each data collection day.'),
        emptyLine(),

        heading3('Blinding of Assessors'),
        body('As described in the Study Design section, outcome assessors will remain blinded to cluster allocation at all time points including 6-month and 12-month follow-ups. Assessors will be deployed to clusters assigned to them at baseline only if those clusters have not changed arm assignment (fixed by design). If an assessor inadvertently learns the assignment of a cluster, this will be documented as a protocol deviation and a different assessor will be deployed for subsequent visits to that cluster where feasible.'),
        emptyLine(),

        heading3('Data Management, Storage, and Quality Assurance'),
        body('Electronic data will be managed using REDCap (Research Electronic Data Capture) hosted on a secure server at the University of Zambia or an equivalent GDPR/Zambian data protection-compliant cloud server. Access will be restricted to the named trial team by role-based permissions. All data will be encrypted in transit and at rest. Paper records (where used) will be stored in locked cabinets at the trial coordinating centre. Data quality checks built into ODK (skip logic, range checks, mandatory fields) will flag potential errors at point of entry. A dedicated data manager will perform weekly data quality audits including checks for duplicate entries, out-of-range values, and missing data patterns. An anonymised dataset will be used for all analyses; identifiers will be held separately by the trial manager.'),
        emptyLine(),

        // DATA ANALYSIS
        heading2('Data Analysis'),

        heading3('Primary Statistical Model'),
        body('The primary analysis will use a linear mixed-effects regression model (LMER) implemented in R (lme4 package) or Stata (mixed command). The model specification will be:'),
        body('BMI_change_ij = β0 + β1(Treatment_j) + β2(Baseline_BMI_ij) + β3(Age_ij) + β4(Sex_ij) + β5(SES_ij) + u_j + ε_ij'),
        body('Where i indexes individuals and j indexes clusters; u_j is the cluster-level random intercept (capturing within-cluster correlation); ε_ij is the individual-level residual. The coefficient β1 represents the estimated treatment effect (mean difference in BMI change between intervention and control arms), adjusted for the pre-specified covariates. Cluster will be included as a random intercept to appropriately account for the clustered design structure. A random slope for time will be added if model fit statistics (AIC/BIC) support this.'),
        emptyLine(),

        heading3('Intention-to-Treat Analysis'),
        body('The primary analysis will follow ITT principles: all participants enrolled and randomised (at the cluster level) will be included regardless of adherence to the intervention or completeness of follow-up data. Per-protocol sensitivity analyses will be conducted restricting to participants who attended at least 75% of scheduled intervention contacts.'),
        emptyLine(),

        heading3('Incorporating Clustering and Repeated Measures'),
        body('The mixed-effects model inherently accounts for within-cluster correlation through the random cluster intercept. Repeated measures at 6 and 12 months will be incorporated using a longitudinal extension of the LMER model, with time as a fixed effect and a random intercept-and-slope structure at the participant level nested within clusters. Generalised Estimating Equations (GEE) with exchangeable correlation structure will be used as a sensitivity analysis to verify robustness of the primary result.'),
        emptyLine(),

        heading3('Adjustment Variables'),
        body('The following variables will be included as fixed covariates in the primary model: age (continuous), sex (binary), baseline BMI (continuous), and socioeconomic status (measured by a standardised household asset index score derived from the baseline questionnaire, consistent with the Zambia DHS wealth quintile approach). These variables were selected a priori based on known determinants of BMI change trajectories and potential sources of confounding.'),
        emptyLine(),

        heading3('Handling of Missing Data'),
        body('Missing data will be investigated for patterns (missing completely at random [MCAR], missing at random [MAR], or missing not at random [MNAR]) using Little\'s MCAR test and visual inspection of missingness patterns. The primary analysis will use multiple imputation by chained equations (MICE) assuming MAR, with 50 imputed datasets and pooling using Rubin\'s rules. Imputation models will include all analysis variables plus auxiliary variables predictive of missingness (e.g., attendance records, baseline health status). Complete-case analysis will be presented as a sensitivity analysis. If MNAR is suspected (e.g., differential dropout related to BMI trajectory), a further sensitivity analysis using pattern-mixture models will be conducted.'),
        emptyLine(),

        heading3('Subgroup Analyses'),
        body('Pre-specified exploratory subgroup analyses will examine treatment effect modification by: (a) sex (male vs. female); (b) baseline BMI category (normal weight BMI 18.5–24.9 vs. overweight BMI 25.0–29.9 vs. obese BMI ≥ 30); and (c) socioeconomic status (lower two quintiles vs. upper three quintiles). These analyses are explicitly exploratory, hypothesis-generating, and are NOT independently powered. Effect estimates from subgroup analyses will be presented with confidence intervals and interaction p-values. Findings will be interpreted descriptively and not used to draw causal conclusions. A Bonferroni correction will be applied across the three pre-specified subgroup interactions to reduce the risk of false positives.'),
        emptyLine(),

        heading3('Secondary Outcome Analyses'),
        body('Binary outcomes (incidence of obesity) will be analysed using log-binomial regression with cluster-robust standard errors to estimate risk ratios. Count or ordinal behavioural outcomes will use generalised linear mixed models (GLMM) with appropriate link functions. Process measures will be reported descriptively. Statistical significance will be set at p < 0.05 (two-tailed) for all primary analyses; secondary and subgroup analyses will be interpreted in the context of effect size and clinical meaning as well as p-values, with adjustments for multiple comparisons where appropriate. All analyses will be conducted in R (version ≥ 4.4) or Stata (version ≥ 18). The statistical analysis plan (SAP) will be finalised, registered, and locked prior to unblinding of outcome data.'),
        emptyLine(),

        // ADVERSE EVENTS
        heading2('Adverse Events and Safety Monitoring'),

        heading3('Definitions'),
        bullet('Adverse Event (AE): Any untoward medical occurrence in a participant during the study period, regardless of causal relationship to the intervention. Examples include exercise-related musculoskeletal injuries, psychological distress, hypoglycaemic episodes, or cardiovascular events.'),
        bullet('Serious Adverse Event (SAE): An AE that results in death, is life-threatening, requires hospitalisation or prolongation of existing hospitalisation, results in persistent or significant disability, or is deemed medically significant by the principal investigator. Examples include acute myocardial infarction, severe exercise-induced injury requiring hospital admission, or severe depressive episode requiring psychiatric care.'),
        bullet('Adverse Event Related to Intervention: An AE judged by the principal investigator as possibly, probably, or definitely related to study participation or the intervention activities.'),
        emptyLine(),

        heading3('Reporting Procedures'),
        body('All AEs will be recorded by CHWs or research assistants on a standardised AE reporting form at each participant contact and at any point a participant presents with a concern. SAEs must be reported to the principal investigator within 24 hours of the trial team becoming aware of the event. SAEs will subsequently be reported to UNZABREC and ZNPHI within 7 calendar days (or 15 days for non-fatal, non-life-threatening events) in accordance with Zambian research ethics regulations. A serious and unexpected suspected adverse reaction (SUSAR) will be reported to all relevant regulatory authorities within 7 days.'),
        emptyLine(),

        heading3('Monitoring of Specific Risk Areas'),
        bullet('Exercise-related injuries: All participants will be screened at baseline for conditions that could increase exercise injury risk (using the Physical Activity Readiness Questionnaire, PAR-Q). Physical activity goals will be set at low-to-moderate intensity (e.g., 150 minutes per week of brisk walking) in line with WHO guidelines, escalating only where safe to do so. CHWs will be trained to identify musculoskeletal injury symptoms and refer participants to the nearest health facility.'),
        bullet('Psychological distress: Mental health screening will be conducted at baseline (PHQ-9, GAD-7) and at 12 months. Participants who screen positive for moderate-to-severe depression (PHQ-9 ≥ 10) or anxiety (GAD-7 ≥ 10) at any time point will be referred to a mental health nurse or counsellor via the health facility referral pathway. A list of local mental health resources (community counsellors, ZNPHI mental health hotline) will be provided to all participants at enrolment.'),
        bullet('Weight-related distress and disordered eating: Given the sensitive nature of the intervention topic, all CHWs will be trained in non-stigmatising, weight-inclusive communication. Participants showing signs of disordered eating cognition (identified through regular monitoring during coaching sessions) will be referred to a dietitian. Any new diagnosis of an eating disorder during the study will be treated as an SAE.'),
        emptyLine(),

        heading3('Data Safety and Monitoring Committee'),
        body('An independent Data Safety and Monitoring Committee (DSMC) will be established comprising: (a) an independent biostatistician; (b) a clinician with expertise in NCD prevention; and (c) a community representative or lay member. The DSMC will review unblinded accumulating outcome and safety data at 6 months (after approximately 50% of primary outcome data have been collected) and will report to the trial steering committee. The DSMC will use pre-specified stopping rules: the trial will be stopped early for harm if there is evidence that the intervention arm is associated with a significantly higher rate of SAEs than the control arm (p < 0.01, two-sided, unadjusted), or if an imbalance in severe adverse events raises unacceptable safety concerns. The DSMC charter will be finalised prior to trial commencement.'),
        emptyLine(),

        // ETHICAL CONSIDERATIONS
        heading2('Ethical Considerations'),

        heading3('Ethical Approval'),
        body('Ethical approval will be sought from the University of Zambia Biomedical Research Ethics Committee (UNZABREC) prior to any recruitment or data collection activities. In accordance with the Zambia National Health Research Act and ZNPHI research governance procedures, the protocol will also be registered with the National Health Research Authority. The trial will be registered prospectively on an internationally recognised registry (e.g., Pan African Clinical Trials Registry [PACTR] or ClinicalTrials.gov) and the trial registration number will be cited in all publications and communications.'),
        emptyLine(),

        heading3('Informed Consent'),
        body('Written informed consent will be obtained from all participants prior to enrolment. Consent forms will be available in English and Nyanja and will be reviewed with participants by a trained research assistant using a "teach-back" method to verify comprehension. Consent will cover: the study purpose and procedures; the voluntary nature of participation; the right to withdraw at any time without penalty or effect on access to health services; data storage and confidentiality arrangements; and contact information for the principal investigator and UNZABREC. Where potential participants have low literacy, the consent process will be conducted verbally in the presence of a literate witness, with a thumbprint signature.'),
        emptyLine(),

        heading3('Community Engagement and Cultural Sensitivity'),
        body('Community entry will be preceded by engagement with community leaders (Neighbourhood Health Committees, local councillors, and chiefs where applicable) to obtain community-level assent before individual participant recruitment commences. Weight-related discussions will be conducted using non-stigmatising, culturally appropriate language. Given the documented association between food security and overweight in Zambian urban settings, intervention messaging will be framed around healthy behaviours and wellbeing rather than body weight per se.'),
        emptyLine(),

        heading3('Management of Abnormal Screening Findings'),
        body('Participants identified at baseline screening as having significantly abnormal biochemical or clinical findings (e.g., fasting glucose ≥ 7.0 mmol/L indicating probable diabetes, blood pressure ≥ 160/100 mmHg, BMI ≥ 40 kg/m² with comorbidities) will be referred promptly to the nearest primary health care facility with a standardised referral letter. These participants will not be excluded from the study unless their condition warrants exclusion on safety grounds (see exclusion criteria). A referral log will be maintained and outcomes (e.g., whether the participant attended the referral facility) documented as part of the study records.'),
        emptyLine(),

        heading3('Participant Reimbursement'),
        body('Participants will receive reimbursement for their time and transport costs associated with each study visit (baseline, 6-month, and 12-month assessments). Reimbursement will be set at a level approved by UNZABREC and consistent with Zambian guidelines for research participant reimbursement, sufficient to cover reasonable transport costs without being coercive. Reimbursement will be provided at the time of each assessment visit. No conditional or performance-related payments will be made.'),
        emptyLine(),

        heading3('Data Protection and Confidentiality'),
        body('All data will be treated in strict confidence. Participant data will be pseudonymised using a unique study ID; identifiable information will be held separately by the trial manager and not shared with the analysis team. Data storage and processing will comply with the Zambia Data Protection Act 2021 and applicable international standards. Data will be retained for a minimum of 10 years after study completion per UNZABREC and institutional requirements, then securely destroyed.'),
        emptyLine(),

        // DISSEMINATION PLAN
        heading2('Dissemination Plan'),

        heading3('Academic Dissemination'),
        body('Results of this trial will be submitted for publication in peer-reviewed, open-access journals with broad readership relevant to global public health and sub-Saharan African health systems (e.g., PLOS Medicine, The Lancet Global Health, BMC Public Health, or Obesity Reviews). Both positive and null results will be submitted for publication in line with the AllTrials commitment to reduce publication bias. Primary results (12-month BMI outcomes), process evaluation findings, and secondary outcome data will each be reported in separate publications. Authorship will follow ICMJE guidelines and will include community representatives and CHW supervisors where their contribution meets authorship criteria.'),
        body('Findings will be presented at international conferences (e.g., International Congress on Obesity, European Congress on Obesity, Africa Health Conference) and national Zambian research dissemination forums (e.g., ZNPHI Annual Research Symposium, Zambia National Health Research Conference).'),
        emptyLine(),

        heading3('Policy and Stakeholder Dissemination'),
        body('Policy briefs summarising key findings and actionable recommendations will be prepared for: (a) the Zambia Ministry of Health, Non-Communicable Diseases Unit; (b) the Lusaka Province Health Office; and (c) local government authorities in the study area. Stakeholder dissemination workshops will be held in Lusaka at the end of the trial, bringing together MOH representatives, community leaders, NGO partners, and trial team members to discuss findings, implications, and scale-up considerations. A stakeholder report using plain language will be submitted to the Ministry of Health and made publicly available on the study website within 3 months of trial completion.'),
        emptyLine(),

        heading3('Community and Participant Dissemination'),
        body('Community dissemination events will be held within each participating cluster at the end of the trial to present aggregated findings to community members in accessible formats (oral presentation, visual summaries, community radio broadcast). Participant summaries (plain-language summaries of what the study found, in English and Nyanja) will be distributed to all enrolled participants. These activities fulfil the ethical obligation to return findings to communities who contributed their time and data, and serve to reinforce the study\'s community partnership model.'),
        emptyLine(),

        heading3('Influence on Future Public Health Policy'),
        body('The trial is designed to generate evidence directly applicable to Zambian and wider sub-Saharan African obesity prevention policy. If the multi-component intervention demonstrates effectiveness, findings will be used to: (a) advocate for inclusion of community-based young adult obesity prevention programmes in the Zambia National NCD Policy and Strategic Plan; (b) inform the scale-up design for a national programme, with particular attention to CHW workforce integration; and (c) contribute to WHO guidance for community-based NCD prevention in LMIC settings. The trial team will engage proactively with the ZNPHI Health Policy Evidence Unit throughout the trial to facilitate timely translation of findings into policy guidance. A five-year follow-up observational study will be proposed if resources permit, to assess the durability of effects and cost-effectiveness over a longer time horizon.'),
        emptyLine(),

        heading3('Data Sharing'),
        body('Anonymised individual participant data will be made available to qualified researchers on reasonable request following publication of the primary results, in accordance with UNZABREC data sharing provisions and the Zambia Data Protection Act 2021. A data sharing statement and request procedure will be included in all publications.'),
        emptyLine(),

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      // TITLE
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      // ── OBJECTIVES & RESEARCH QUESTIONS ───────────────────────────────────
      h1('OBJECTIVES AND RESEARCH QUESTIONS'),

      boldBody('Primary Objective: ', 'To determine the effectiveness of a community-based multi-component intervention (dietary, physical activity, behavioural, and environmental components) in reducing BMI and preventing incident obesity compared with health-information-only control, measured as change in BMI (kg/m²) from baseline to 12 months in adults aged 18–29 years in Lusaka, Zambia.'),

      boldBody('Secondary Objectives: ', '(1) To explore whether self-monitoring, peer feedback, and personalised goal-setting mediate intervention-related changes in BMI and lifestyle behaviours; (2) to investigate how environmental supports (food access, built-environment features, workplace initiatives) modify prevention outcomes; (3) to evaluate sustained impact on BMI trajectories, obesity incidence, and cardiometabolic markers at 12 months.'),
      gap(),

      h2('Research Questions, Outcome Measures, and Analysis Plans'),
      boldBody('RQ1 (Primary): ', 'Does the intervention reduce BMI at 12 months vs. control? Outcome: change in BMI (kg/m²; baseline to 12 months) measured by calibrated stadiometer/scale (WHO protocol). Analysis: linear mixed-effects regression (LMER) – treatment arm as fixed effect, cluster as random intercept, adjusted for age, sex, baseline BMI, and socioeconomic status; intention-to-treat (ITT) principle throughout.'),
      boldBody('RQ2 (Secondary): ', 'Do behavioural strategies mediate BMI reduction? Outcomes: IPAQ short-form physical activity score; 24-hour dietary recall quality score; General Self-Efficacy Scale (GSE-10). Analysis: causal mediation analysis (Baron & Kenny, bootstrapped CIs) – exploratory, not independently powered.'),
      boldBody('RQ3 (Secondary): ', 'Do environmental supports moderate intervention effect? Outcome: BMI change stratified by GPS-measured market proximity, community activity-space audit score, and workplace wellness policy. Analysis: cross-level interaction terms in LMER – exploratory.'),
      boldBody('RQ4 (Exploratory): ', 'What is the long-term cardiometabolic impact? Outcomes: obesity incidence (BMI ≥ 30 kg/m²); waist circumference; fasting glucose, HbA1c, lipid profile at 12 months. Analysis: log-binomial regression (incidence); LMER (continuous markers) – secondary endpoints, results interpreted descriptively.'),
      gap(),

      // ── METHODOLOGY ───────────────────────────────────────────────────────
      h1('METHODOLOGY'),

      h2('Study Design'),
      body('A two-arm parallel cluster randomised controlled trial (cluster RCT) will be conducted following CONSORT 2010 (cluster extension) and SPIRIT 2013. Cluster randomisation is used because the intervention operates community-wide through environmental modifications, mass media, and CHW delivery; individual-level randomisation within the same community would create co-intervention bias through shared social networks, food environments, and infrastructure (Donner & Klar, 2000). Cluster RCT designs are well established in comparable obesity prevention trials (Adab et al., 2015; Li et al., 2017). The unit of randomisation is a geographically distinct ward within Lusaka District, chosen because wards encompass all ecological levels of the intervention and minimise shared-space contamination. Twenty-four wards (12 per arm) are planned; wards will be matched in pairs on urban classification, socioeconomic profile (DHS 2024 poverty tertile), and estimated adult population size before computer-generated 1:1 allocation. The allocation sequence, generated by an independent statistician using R (sample()), will be withheld until baseline data collection for each matched pair is complete, ensuring concealment. Outcome assessors (anthropometric, biochemical, questionnaire) will be blinded to allocation at baseline, 6, and 12 months; blinding will be verified by recording assessors\' allocation guesses. Data analysts will work on an arm-coded blinded dataset until the pre-registered statistical analysis plan (SAP) is locked. The trial will run for 12 months with assessments at baseline, 6, and 12 months.'),
      gap(),

      h2('Study Setting'),
      body('Lusaka Province (population ~3.7 million; ~80% urban; >40% aged 15–34) was selected for three reasons. Epidemiologically, it has the highest urban NCD burden in Zambia: overall obesity prevalence 14.2% (5.1% men, 18.6% women; Rudatsikira et al., 2012), combined urban overweight/obesity ~35–40% among women aged 20–49 (ZDHS 2024), and rising overweight/obesity among women aged 20–29 since 2013–14. Nationally, 14.7% of adult women and 4.4% of adult men live with obesity (Global Nutrition Report, 2024). Infrastructurally, Lusaka has an established Community Health Assistant (CHA) network, the University of Zambia School of Public Health, and the Zambia National Public Health Institute (ZNPHI), providing delivery and governance capacity. It also has prior NCD trial experience with UNZABREC and ZNPHI research governance. Approximately 24 wards will be recruited, each with an estimated 500–1,000 young adults aged 18–29, targeting 40–50 participants per cluster.'),
      gap(),

      h2('Target Population, Inclusion, and Exclusion Criteria'),
      body('The study is a combined primary and secondary prevention trial: primary prevention (normal-weight individuals, BMI 18.5–24.9 kg/m²) targets upstream prevention before weight gain consolidates; secondary prevention (overweight/obese, BMI ≥ 25 kg/m²) targets halting progression. Including normal-weight participants is appropriate because the intervention is community-delivered across whole wards, selective enrolment by BMI would be logistically impractical, and intervening before trajectories consolidate maximises long-term benefit (Wong et al., 2020). The 18–29 age group is selected because BMI increases most steeply during this transition (NICE, 2024; WHO, 2000), young adults are underserved by existing Zambian weight management services, and BMI established by age 30 strongly predicts life-course cardiometabolic risk.'),
      boldBody('Inclusion: ', '(1) Age 18–29 years; (2) BMI ≥ 18.5 kg/m²; (3) residing in or regularly attending (≥ 4 days/week) a selected ward for ≥ 6 months; (4) able to provide written informed consent in English, Nyanja, or Bemba; (5) willing to complete 12 months of follow-up.'),
      boldBody('Exclusion: ', '(1) Currently pregnant or breastfeeding at baseline; (2) active treatment for a severe eating disorder; (3) medical condition precluding moderate physical activity without clinical supervision; (4) BMI < 18.5 kg/m²; (5) current enrolment in another weight-management trial; (6) planned relocation within 12 months; (7) any condition compromising safety or data integrity in the PI\'s judgement.'),
      body('Participants who become pregnant during follow-up remain enrolled; coaching is adapted to pregnancy-safe guidelines; pregnancy-period anthropometric data are flagged and excluded from the per-protocol analysis but retained in ITT (last-observation-carried-forward). A sensitivity analysis excluding pregnant participants is pre-specified.'),
      gap(),

      h2('Sample Size'),
      body('Primary endpoint: change in BMI (kg/m²) at 12 months. Parameters: effect size 0.5 kg/m² (SD 2.5 kg/m²; WHO, 2000); 80% power; α = 0.05 (two-sided); ICC = 0.02 (Gray et al., 2016; Donner & Klar, 2000; sensitivity at ICC = 0.05 also calculated); average cluster size m = 40. Design effect: DEFF = 1 + (39 × 0.02) = 1.78. Individual-level n ≈ 394; cluster-adjusted ≈ 701; with 20% attrition allowance ≈ 877. Required clusters ≈ 22 (11/arm); 24 clusters (12/arm) planned to buffer against cluster dropout. Final target enrolment: 1,200 participants across 24 clusters, confirmed by simulation in R (clusterPower) prior to registration.'),
      gap(),

      h2('Intervention Components (TIDieR Framework)'),
      body('The intervention (CMOPI-ZM) follows the Social-Ecological Model (Stokols, 1996), grounded in Social Cognitive Theory and the Behaviour Change Wheel (Michie et al., 2011). Four simultaneous levels are delivered over 12 months:'),
      bullet('Individual level (monthly, ~30 min): Personalised dietary coaching (portion control, reducing ultra-processed foods, increasing fruit/vegetables); physical activity goal-setting; self-monitoring via a purpose-built Android mHealth app (developed using React Native, piloted 3 months pre-trial; paper diary for participants without smartphone access) or SMS reminders. Delivered by CHAs in person at community health posts.'),
      bullet('Interpersonal level (monthly, 60–90 min): Peer support groups of 8–12 participants with cooking demonstrations, group physical activity (walking groups, aerobics), and peer-led behaviour-change discussions. Facilitated by trained community peer educators.'),
      bullet('Organisational/Environmental level (ongoing): Partnerships with food markets (subsidised fruit/vegetable stalls, point-of-choice labelling), gyms, and employers/schools to improve healthy food and physical activity access. Community environment audits at 6 and 12 months.'),
      bullet('Community level (monthly events, weekly radio for 6 months then fortnightly): Mass media campaigns via community radio, posters, and social media; monthly free screening health days; policy advocacy through community coalitions.'),
      body('CHAs (government-registered) and peer educators complete a standardised 5-day pre-trial training (behaviour change communication, motivational interviewing, nutrition, physical activity, app use, adverse event recognition, ethical principles) with role-play competency assessment. A 1-day refresher is held at month 6; monthly supervision visits monitor fidelity via attendance logs, session checklists, bi-monthly direct observation of 10% of sessions, and app usage logs.'),
      gap(),

      h2('Comparator'),
      body('Control wards receive usual care: a single 15-minute CHW session at enrolment providing standard Ministry of Health healthy living leaflets; no coaching, peer groups, environmental modifications, or app access. Contamination is minimised by ≥ 2 km inter-cluster buffer distance confirmed by pre-trial mapping, selection of clusters without shared markets or workplaces, participant instruction at enrolment, and a contamination-monitoring survey administered to control participants at 6 and 12 months. A pre-specified sensitivity analysis will exclude any contaminated clusters.'),
      gap(),

      h2('Outcomes'),
      boldBody('Primary: ', 'Change in BMI (kg/m²) from baseline to 12 months (WHO-protocol stadiometer/scale, duplicate measurements). BMI is the single primary outcome; waist circumference is secondary. BMI is preferred for its standardisation, lower inter-observer variability in field settings, and wide use in comparable trials enabling meta-analytic comparison.'),
      boldBody('Secondary: ', 'Waist circumference (WHO protocol); physical activity (IPAQ short-form, with accelerometry in a 20% subsample); dietary quality (24-hour dietary recall, FAO/INFOODS database; FFQ at 12 months); self-efficacy (GSE-10); health-related quality of life (SF-12); mental health (PHQ-9, GAD-7); cardiometabolic markers (fasting glucose, HbA1c, lipid profile – baseline and 12 months only); obesity incidence (new BMI ≥ 30 kg/m²). Process measures: reach, dose delivered, acceptability, app engagement.'),
      gap(),

      h2('Data Collection, Management, and Blinding'),
      body('Research assistants complete 2-day standardisation training (WHO anthropometric protocols, duplicate measurements, TEM calculation, ODK data entry, phlebotomy, scripted questionnaire administration) before deployment; those exceeding acceptable TEM thresholds receive further training. Assessors remain blinded to cluster allocation at all follow-up visits; inadvertent unblinding is logged as a protocol deviation and a replacement assessor deployed. Data are captured electronically via ODK on tablets (paper backup available) and managed in REDCap on a secure, role-access-controlled server compliant with the Zambia Data Protection Act 2021, encrypted in transit and at rest. A dedicated data manager conducts weekly quality audits (range checks, duplicates, missingness). Participant identifiers are held separately from the analysis dataset.'),
      gap(),

      h2('Data Analysis'),
      body('Primary model: LMER (R lme4 / Stata mixed): BMI_change_ij = β0 + β1(Treatment_j) + β2(BaselineBMI_ij) + β3(Age_ij) + β4(Sex_ij) + β5(SES_ij) + u_j + ε_ij, where u_j is the cluster random intercept and β1 the ITT treatment estimate. Covariates (age, sex, baseline BMI, SES asset index) selected a priori. GEE (exchangeable correlation) used as a sensitivity check. Missing data: MICE (50 datasets, MAR assumption, Rubin\'s rules); complete-case and pattern-mixture analyses as sensitivity checks. Subgroup analyses (sex; baseline BMI category; SES) are pre-specified, exploratory, not independently powered; Bonferroni-corrected interaction p-values reported. Binary outcomes (obesity incidence) use log-binomial regression with cluster-robust standard errors. The SAP is registered and locked before unblinding; analyses conducted in R ≥ 4.4 or Stata ≥ 18.'),
      gap(),

      h2('Adverse Events and Safety Monitoring'),
      body('An Adverse Event (AE) is any untoward medical occurrence regardless of causality; a Serious Adverse Event (SAE) is one that is fatal, life-threatening, requires hospitalisation, or causes significant disability. AEs are recorded by CHWs at every participant contact; SAEs are reported to the PI within 24 hours and to UNZABREC/ZNPHI within 7 days (15 days for non-fatal non-life-threatening events). All participants complete the PAR-Q at baseline; physical activity goals are set at low-to-moderate intensity (≤ 150 min/week brisk walking) and escalated only where clinically safe. PHQ-9 and GAD-7 are administered at baseline and 12 months; scores ≥ 10 trigger referral through the facility referral pathway; local mental health contacts are provided at enrolment. CHWs are trained in non-stigmatising communication; disordered eating signs trigger dietitian referral and SAE classification if a disorder is diagnosed. An independent Data Safety and Monitoring Committee (DSMC: biostatistician, NCD clinician, lay member) reviews unblinded safety data at 6 months; the trial stops early for harm if SAE rates are significantly higher in the intervention arm (p < 0.01, two-sided).'),
      gap(),

      h2('Ethical Considerations'),
      body('Ethical approval will be obtained from UNZABREC before recruitment; the protocol will be registered with the National Health Research Authority and prospectively on PACTR or ClinicalTrials.gov. Written informed consent (English, Nyanja, Bemba; teach-back method; thumbprint for low-literacy participants) covers study purpose, voluntary participation, right to withdraw without penalty, and data confidentiality. Community entry requires prior assent from Neighbourhood Health Committees and local councillors. Participants with abnormal screening findings (fasting glucose ≥ 7.0 mmol/L, BP ≥ 160/100 mmHg) receive a standardised referral letter to the nearest health facility; referral attendance is logged. Reimbursement covers transport costs only, at UNZABREC-approved rates. Data are pseudonymised, stored under the Zambia Data Protection Act 2021, retained for 10 years, then securely destroyed.'),
      gap(),

      h2('Dissemination Plan'),
      body('Findings will be submitted to peer-reviewed open-access journals (e.g., Lancet Global Health, BMC Public Health) and presented at international (International Congress on Obesity) and national (ZNPHI Annual Research Symposium) conferences. Policy briefs will be submitted to the Zambia Ministry of Health NCD Unit, Lusaka Province Health Office, and ZNPHI. A plain-language stakeholder report will be published on the study website within 3 months of completion. Community dissemination events and participant summaries (English and Nyanja) will be held in each ward. Evidence will be used to advocate for inclusion of community-based young adult obesity prevention in the Zambia National NCD Strategic Plan and to contribute to WHO LMIC guidance; the trial team will engage proactively with the ZNPHI Health Policy Evidence Unit throughout. Anonymised individual-level data will be available to qualified researchers on reasonable request following primary publication.'),

    ],
  }],
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