How to write background for iec in research
Example: "Type 2 diabetes mellitus affects approximately 537 million adults worldwide (IDF, 2021), making it one of the leading causes of cardiovascular disease and end-stage renal failure..."
Example: "However, no studies have evaluated this drug's efficacy specifically in the South Asian population, where metabolic profiles differ significantly from Western cohorts..."
| Element | Recommendation |
|---|---|
| Length | 300–600 words (unless guidelines specify otherwise) |
| Language | Clear, non-jargon (ethics members may not be specialists) |
| References | Use Vancouver or APA style — be consistent |
| Tense | Use present tense for established facts; past tense for prior studies |
| Tone | Objective and scientific — avoid promotional language |
[Disease/Topic] is a [global/national] health concern affecting [X population].
It is characterized by [brief description] and is associated with [morbidity/mortality].
Current evidence suggests [summary of what is known — cite 2–3 studies].
The standard of care involves [current management].
However, [knowledge gap — what remains unknown or understudied].
[Optional: Contradictory findings in literature].
The proposed study aims to [objective] in [population], which will [how it fills the gap].
The findings will contribute to [clinical/policy/scientific significance].
Given the potential benefits and the acceptable risk profile, this study is ethically
justified and necessary.
Is it from articles
| Purpose | What to Write |
|---|---|
| Establish disease burden | Cite prevalence/incidence data from epidemiological studies |
| Summarize current knowledge | Briefly mention findings of 2–4 key studies |
| Identify the gap | Point to what those studies failed to address |
| Justify your study | Show how your work builds on or differs from them |
You read multiple articles, extract the relevant facts, and write the background in your own words — synthesizing them into a logical, flowing narrative. You do not copy-paste from any article.
From articles wt to copy and write
"[Disease] affects approximately [X million] people worldwide, with a prevalence of [X%] in India (Author, year)."
"[Disease] is characterized by [key features] and is associated with risk factors such as [list] (Author, year)."
"A study by [Author] ([year]) found that [key result]. However, this study was limited by [small sample size / single centre / specific population], leaving a gap in knowledge regarding [your focus area]."
"A systematic review by [Author] ([year]) concluded that [finding], but noted insufficient evidence on [gap relevant to your study]."
"Current [WHO/ICMR/AHA] guidelines recommend [treatment], but acknowledge limited data on [your study population or intervention]."
1. Disease definition + burden → from review articles / epidemiology papers
↓
2. What is currently known → from RCTs, reviews
↓
3. What is NOT known (the GAP) → from limitations sections of articles
↓
4. Why your study is needed → your own logical conclusion
The "Limitations" and "Future Research" sections of published articles are the best place to find your knowledge gap — this directly justifies your study to the IEC.
I shd mention article with 1 2 3 tags
"Diabetes mellitus affects over 77 million people in India.¹ Current guidelines recommend metformin as first-line therapy.² However, studies on its efficacy in elderly patients remain limited.³"
References:
1. Mohan V, et al. Prevalence of diabetes in India. Indian J Med Res. 2018;148(3):307-321.
2. American Diabetes Association. Standards of Medical Care. Diabetes Care. 2023;46(1):S1-S4.
3. Singh AK, et al. Metformin use in elderly diabetics. J Geriatr Med. 2020;12(2):45-52.
[Number]. Author AA, Author BB. Title of article.
Journal Abbreviation. Year;Volume(Issue):Pages.
| Rule | Detail |
|---|---|
| Numbering | Start from 1, in order of appearance |
| Same article used twice | Use the same number again |
| Superscript or brackets | Both are acceptable — be consistent |
| Maximum authors | Write first 6 authors, then et al. |
"Hypertension is one of the leading causes of cardiovascular mortality worldwide, affecting approximately 1.28 billion adults.¹ In India, the prevalence is estimated at 28.5% in adults above 18 years.² Despite availability of multiple antihypertensive agents, blood pressure control rates remain poor, particularly in rural populations.³ A systematic review by Anchala et al. highlighted significant gaps in treatment adherence and follow-up in low-income settings.⁴ The present study aims to address this gap by evaluating a community-based intervention in a rural Indian cohort."
How to write superscript
1)| Normal | Superscript |
|---|---|
| 1 | ¹ |
| 2 | ² |
| 3 | ³ |
| 4 | ⁴ |
| 5 | ⁵ |
| 6 | ⁶ |
| 7 | ⁷ |
| 8 | ⁸ |
| 9 | ⁹ |
"Hypertension affects 1.28 billion adults worldwide [1] and remains poorly controlled in rural settings [2,3]."
Tip: Square brackets [1] are easier and widely accepted by most IECs and journals. Use superscript only if your institution specifically requires it.
How much words it should be ?
| Study Type | Recommended Words |
|---|---|
| Student dissertation / thesis | 300 – 500 words |
| Observational study | 400 – 600 words |
| Interventional / Drug trial | 500 – 800 words |
| Complex RCT / multicentre trial | 600 – 1000 words |
Keep it between 300 to 500 words for most IEC submissions — this is the most commonly accepted range.
| Paragraph | Content | Approx Words |
|---|---|---|
| 1 | Disease definition + global burden | 80 – 100 |
| 2 | Current knowledge / existing studies | 100 – 120 |
| 3 | Knowledge gap | 80 – 100 |
| 4 | Rationale for your study | 80 – 100 |
| 5 | Concluding statement | 40 – 60 |
Bottom line: Aim for 400–500 words with 4–5 paragraphs and 4–6 references. This is safe for most IEC submissions.
Background for interhemispheric connection assessing behaviour
| # | What to Cite | Where to Search |
|---|---|---|
| 1 | Corpus callosum anatomy and commissures | Neuroscience textbook / Gray's Anatomy |
| 2 | Interhemispheric connectivity and cognition | Review article — PubMed search: "interhemispheric connectivity behaviour" |
| 3 | Split-brain studies (Sperry, Gazzaniga) | Classic papers — Gazzaniga MS, 1967 / Sperry RW, 1968 |
| 4 | DTI / fMRI in white matter assessment | Neuroimaging review — PubMed: "DTI corpus callosum" |
| 5 | Connectivity alterations in neuropsychiatric disorders | Systematic review — PubMed: "corpus callosum autism ADHD schizophrenia" |
I wmat article reference from which article
Banich MT. The missing link: The role of interhemispheric interaction in attentional processing. Brain and Cognition. 1998;36(2):128–157.
Hagelthorn KM, Brown WS, Amano S, Asarnow R. Normal development of bilateral field advantage and evoked potential interhemispheric transfer time. Developmental Neuropsychology. 2003;23(3):479–492.
Hines M, Chiu L, McAdams LA, Bentler PM, Lipcamon J. Cognition and the corpus callosum: verbal fluency, visuospatial ability, and language lateralization related to midsagittal surface areas of callosal subregions. Behavioural Neuroscience. 1992;106(1):3–14.
Giedd JN, Blumenthal J, Jeffries NO, et al. Brain development during childhood and adolescence: a longitudinal MRI study. Nature Neuroscience. 1999;2(10):861–863.
Brown WS, Paul LK. Cognitive and psychosocial deficits in agenesis of the corpus callosum with normal intelligence. Cognitive Neurodynamics. 2000;14(2):135–163.
Lassonde M, Sauerwein HC, Chicoine AJ, Geoffroy G. Absence of disconnection syndrome in callosal agenesis and early callosotomy: brain reorganization or lack of structural specificity during ontogeny? Neuropsychologia. 1991;29(5):481–495.
1. Banich MT. The missing link: The role of interhemispheric interaction
in attentional processing. Brain Cogn. 1998;36(2):128–157.
2. Hagelthorn KM, Brown WS, Amano S, Asarnow R. Normal development of
bilateral field advantage and evoked potential interhemispheric transfer
time. Dev Neuropsychol. 2003;23(3):479–492.
3. Hines M, Chiu L, McAdams LA, et al. Cognition and the corpus callosum.
Behav Neurosci. 1992;106(1):3–14.
4. Giedd JN, Blumenthal J, Jeffries NO, et al. Brain development during
childhood and adolescence. Nat Neurosci. 1999;2(10):861–863.
5. Brown WS, Paul LK. Cognitive and psychosocial deficits in agenesis of
the corpus callosum. Cogn Neurodynamics. 2000;14(2):135–163.
6. Lassonde M, Sauerwein HC, Chicoine AJ, Geoffroy G. Absence of
disconnection syndrome in callosal agenesis. Neuropsychologia.
1991;29(5):481–495.
These are real published articles — please verify each one on PubMed (pubmed.ncbi.nlm.nih.gov) before submitting to IEC, as page numbers and volume details should be confirmed from the original source.
My study is SPSS what to add analysis and stats
"All data will be entered and analyzed using IBM SPSS Statistics Version [26/27/28]. Descriptive statistics will be used to summarize demographic and baseline variables. Continuous variables will be expressed as mean ± standard deviation (SD) or median (interquartile range) based on distribution. Categorical variables will be expressed as frequencies and percentages.Normality of data will be assessed using the Shapiro-Wilk test. For comparison between groups, independent samples t-test or Mann-Whitney U test will be applied for parametric and non-parametric data respectively. Pearson's or Spearman's correlation coefficient will be used to assess the relationship between interhemispheric task performance and behavioural scores. A p-value of <0.05 will be considered statistically significant."
| Purpose | Test to Use |
|---|---|
| Check normal distribution | Shapiro-Wilk test |
| Compare 2 groups (normal data) | Independent t-test |
| Compare 2 groups (non-normal) | Mann-Whitney U test |
| Compare 3+ groups | One-way ANOVA / Kruskal-Wallis |
| Correlation between two variables | Pearson's r / Spearman's rho |
| Association between categories | Chi-square test |
| Predict outcome from variables | Linear / Logistic Regression |
| Compare before & after (same group) | Paired t-test / Wilcoxon signed rank |
| Analysis | Reason |
|---|---|
| Descriptive statistics | Age, sex, task scores, behaviour scores |
| Shapiro-Wilk | Check if task scores are normally distributed |
| Pearson / Spearman correlation | Link task performance to behaviour scores |
| Independent t-test or Mann-Whitney | Compare boys vs girls / age groups |
| One-way ANOVA | If comparing 3+ age groups |
"Data will be analyzed using IBM SPSS Statistics Version 26.0. Descriptive statistics will be reported as mean ± SD for continuous variables and as frequencies (%) for categorical variables. Normality will be tested using the Shapiro-Wilk test. Pearson's or Spearman's correlation will be used to examine the relationship between interhemispheric task performance and behavioural outcomes in children. Group comparisons will be performed using independent samples t-test or Mann-Whitney U test as appropriate. Statistical significance will be set at p < 0.05."
| Item | What to Write |
|---|---|
| Software | IBM SPSS Statistics Version XX |
| Significance level | p < 0.05 (two-tailed) |
| Sample size justification | Mention G*Power or previous study used to calculate n |
| Missing data | "Missing data will be handled by listwise deletion / mean imputation" |
"Sample size was calculated using GPower software based on a previous study by [Author, year] with an effect size of [X], power of 80%, and significance level of 0.05, yielding a minimum sample of [N] participants."*