In brief
Among 454 Indian medical and nursing undergraduates, men had significantly higher BMI, yet women reported far greater body dissatisfaction (81. 6% vs.
What this article is about
Quick Answer
Among 454 Indian medical and nursing undergraduates, men had significantly higher BMI, yet women reported far greater body dissatisfaction (81.6% vs. 33%) and perceived overweight despite lower BMI. Paradoxically, men screened positive for disordered eating more often on both the SCOFF and EAT-26 tools.
Student takeaways
Key Takeaways
- Men had significantly higher measured BMI than women (t=5.403, p<0.001).
- Women perceived themselves as overweight far more often than men (74.8% vs. 28.9%) and were more dissatisfied with their weight (81.6% vs. 33%), despite having lower average BMI.
- More men than women screened positive for disordered eating on the SCOFF questionnaire (45.4% vs. 31.1%) and the EAT-26 (16.5% vs. 8.7%).
- Binge eating was reported by nearly half of women (48.2%) and men (41.2%), a statistically significant difference (p<0.004).
- Men were significantly more likely than women to exercise more than 60 minutes as a weight-control strategy (47.4% vs. 25.4%, p<0.001), while severe-depression rates did not differ significantly by gender (9.3% vs. 4.5%).
Student summary
Why This Research Matters
This study looked at how male and female nursing and medical students in India think about their bodies, their weight, and their eating habits — and it found some results that don't match the usual assumptions.
Researchers Poreddi Vijayalakshmi, Rohini Thimmaiah, and colleagues surveyed 454 undergraduate students in Bangalore, South India: 241 medical students and 213 nursing students. The study ran from August to October 2014, and 91.9% of eligible students agreed to participate. Most participants (78.6%) were women, and the average age was about 19 for women and 20 for men. Everyone filled out a self-administered survey that included questions about height, weight, and weight satisfaction, plus three standardized tools: the SCOFF questionnaire (a short 5-item screen for disordered eating, where a score of 2 or higher signals risk), the EAT-26 (a 26-item eating attitudes test where 20 or higher signals risk), and the PHQ-9 (a 9-item depression screen).
The clearest finding was that men had a significantly higher Body Mass Index than women (p<0.001) — which matches what most people would expect, since men on average carry more muscle and body mass. But what happened next is where the study gets interesting, and where it challenges assumptions students might carry into clinical practice.
Despite having a lower average BMI, women were far more likely to see themselves as overweight: 74.8% of women perceived themselves this way, compared to only 28.9% of men. Women were also much less satisfied with their weight overall (81.6% dissatisfied vs. 33% of men). In other words, women's body image did not track closely with their actual measured weight.
Now flip to the eating-disorder screening tools, and the pattern reverses. More men than women screened positive for disordered eating on the SCOFF (45.4% vs. 31.1%) and on the EAT-26 (16.5% vs. 8.7%). Binge eating was reported by close to half of both groups, but slightly more women (48.2%) than men (41.2%), and this difference was statistically significant. Men were also more likely to use vigorous exercise as a weight-control strategy, with 47.4% exercising more than 60 minutes to manage their weight compared to 25.4% of women — a significant difference. Purging behaviors, like vomiting or laxative use, were reported by fewer than 10% of either group. On the depression screen, men reported somewhat higher rates of severe depression (9.3% vs. 4.5%), though the researchers noted this difference was not statistically significant.
Put together, the authors describe a kind of paradox: women in the sample carried more body dissatisfaction and distorted self-perception, while men scored higher on the actual screening instruments for disordered eating behavior. The authors concluded that the gender differences found were modest overall, but real enough that they need to be considered when institutions design programs to prevent eating disorders among health science students.
For nursing students reading this study, there are two lessons worth sitting with. First, body dissatisfaction and formal disordered-eating risk are not the same thing, and they don't always move together — a person who feels fine about their weight might still screen positive on a validated tool, and a person distressed about their weight might not meet screening criteria at all. Second, health science students themselves are not immune to these pressures; in fact, some of the pressures (long clinical hours, body-focused training environments, appearance norms in healthcare work) may make future nurses and physicians a group worth screening rather than assuming they are protected by their professional knowledge.
Because this was a cross-sectional, convenience-sample study conducted in one city in South India, the numbers describe this specific group at one point in time — they should not be generalized to nursing students everywhere, but they do raise a legitimate question worth asking on any nursing program: are students routinely screened for disordered eating and body image concerns, or only assumed to be at low risk because of their profession?
Source abstract
Study Overview
Objective. To assess gender disparity in body weight perception, Body Mass Index (BMI), eight satisfaction and role of depression among undergraduate Medical and Nursing students.
Methods. A descriptive cross sectional descriptive study was conducted in conveniently selected medical (n=241) and nursing (n=213) students of Bangalore, South India. Data was collected using self-administered SCOFF questionnaires.
Results. Our findings revealed that men had a significantly higher BMI than women (t=5.403, p<0.001). More number of women compared to men, perceived themselves as ver weight (74.8%) and not satisfied with their weight status (81.6%). More men than women cored positively for disordered eating behaviors on SCOFF (45.4% vs. 31.1%) and EAT scale (16.5% vs. 8.7%). While, 48.2% of the women practice binge eating, 41.2% of the men practice it (p<0.004); more men (47.4%) than women (25.4%) exercised for more than sixty minutes (p<0.001) to control their weight.
Conclusion.Findings indicate small differences between the genders that have to be taken in consideration in planning interventional programs to prevent eating disorders in this copulation. Descriptors: body mass index; weight perception; cross-sectional studies; students, nursing; students, medical; feeding and eating disorders.
How to cite this article: Vijayalakshmi P, Thimmaiah R, Reddy SSN, Kathyayani BV, Gandhi S, Math SB. Gender Differences in Body Mass Index, Body Weight Perception, weight satisfaction, disordered eating and Weight control strategies among Indian Medical and Nursing Undergraduates. Invest. Educ. Enferm. 2017; 35(3):276-284.
Evidence appraisal
Main Findings
- Men had significantly higher measured BMI than women (t=5.403, p<0.001).
- Women perceived themselves as overweight far more often than men (74.8% vs. 28.9%) and were more dissatisfied with their weight (81.6% vs. 33%), despite having lower average BMI.
- More men than women screened positive for disordered eating on the SCOFF questionnaire (45.4% vs. 31.1%) and the EAT-26 (16.5% vs. 8.7%).
- Binge eating was reported by nearly half of women (48.2%) and men (41.2%), a statistically significant difference (p<0.004).
- Men were significantly more likely than women to exercise more than 60 minutes as a weight-control strategy (47.4% vs. 25.4%, p<0.001), while severe-depression rates did not differ significantly by gender (9.3% vs. 4.5%).
Practice transfer
Clinical Relevance
- Nurses should not assume that lower measured BMI equals lower disordered-eating risk, or that higher body dissatisfaction always signals higher screening-tool risk — this study found these measures pulling in different directions by gender.
- Eating-disorder screening on university and clinical campuses should be offered to men as routinely as to women, since men in this sample screened positive at higher rates on both the SCOFF and EAT-26.
- Binge eating affected close to half of both genders in this sample, suggesting nurse educators and student health services should screen for binge-type behaviors, not only restrictive or purging patterns.
- Because vigorous exercise was a more common weight-control strategy among men, clinicians assessing eating-disorder risk in male patients or students should ask specifically about exercise volume, not only about food intake or purging.
- Depression screening alongside eating-disorder screening may be reasonable in health science student populations, though this study did not find a statistically significant gender difference in severe depression rates.
Faculty notes
Educational Relevance
This descriptive cross-sectional study (Vijayalakshmi et al., 2017, Investigación y Educación en Enfermería) surveyed 454 undergraduate health science students — 241 medical and 213 nursing — at institutions in Bangalore, South India, between August and October 2014, with a 91.9% response rate. The sample skewed female (78.6%), with mean ages of 19 years (SD=1.32) for women and 20 years (SD=2.04) for men. Data were collected via a self-administered packet combining a socio-demographic questionnaire (self-reported height/weight, weight satisfaction) with three validated screening instruments: the SCOFF questionnaire (5 items, cutoff ≥2 for eating-disorder risk), the EAT-26 (26 items, cutoff ≥20 for at-risk status), and the PHQ-9 depression screen. Comparisons used chi-square tests for categorical variables and t-tests for continuous variables, with significance set at p<0.05.
The central finding is a dissociation between measured BMI, perceived body image, and validated disordered-eating risk. Men had significantly higher measured BMI than women (t=5.403, p<0.001) — an expected physiological difference. Yet women reported far greater perceived overweight status (74.8% vs. 28.9%) and weight dissatisfaction (81.6% vs. 33%), despite lower BMI. Conversely, men screened positive at higher rates on both the SCOFF (45.4% vs. 31.1%) and EAT-26 (16.5% vs. 8.7%), suggesting more objectively risky eating cognitions and behaviors than their self-perception or dissatisfaction rates would suggest. Binge eating was common in both groups (48.2% women, 41.2% men; p<0.004), and roughly equal small minorities of each gender (13.1%) misclassified their own weight status in either direction, indicating that body-image distortion is not a purely female phenomenon in this sample. Weight-control behavior also diverged by gender: men more often used prolonged exercise (>60 minutes; 47.4% vs. 25.4%, p<0.001) and reported higher rates of substantial recent weight loss (>10kg in six months; 9.3% vs. 3.4%), with 8.2% of men also reporting prior treatment for an eating problem; compensatory purging (vomiting, laxatives) stayed under 10% for both sexes. Depression screening showed a non-significant trend toward higher severe-depression rates among men (9.3% vs. 4.5%).
For classroom discussion, this study is a useful counter-example to the common teaching shorthand that "disordered eating is a women's issue" and that "body dissatisfaction predicts eating-disorder risk." Here the two constructs pull apart: the group with more distorted/dissatisfied body image (women) was not the group that screened at higher risk on standardized instruments (men). This is worth unpacking with students as a measurement issue as much as a clinical one — screening tools built and validated primarily on adolescent/young Western women populations may perform differently, or capture different behaviors, in male and cross-cultural samples.
Methodologically, faculty should flag the convenience sampling from a single city, the cross-sectional design (no causal or trajectory claims are possible), and reliance on self-reported height/weight and behaviors, all of which limit both internal and external validity. The authors themselves frame the gender differences as "small" but policy-relevant, recommending that eating-disorder prevention programming for health science students be designed with attention to these gendered patterns rather than defaulting to female-only outreach. A natural discussion extension for a Canadian nursing cohort is whether local screening practices for students and for patients assume the same gendered risk pattern this South Indian sample complicates.
Critical appraisal
Limitations
- The cross-sectional design captures a single point in time and cannot establish causes or track how weight perception, eating behavior, or depression change over a student's training.
- Convenience sampling from students at institutions in one city (Bangalore) limits how far the findings can be generalized, even within India.
- Height, weight, and eating and exercise behaviors were self-reported, which can introduce reporting bias, particularly for socially sensitive behaviors like binge eating or purging.
Classroom use
Discussion Questions
- Why might women in this study report much higher weight dissatisfaction than men despite having a lower average BMI?
- What could explain men screening higher for disordered-eating risk on the SCOFF and EAT-26 despite lower body dissatisfaction?
- How might screening tools originally validated on young women perform differently when used with male respondents?
- Why is it important to screen for binge eating specifically, given it affected close to half of both genders in this sample?
- What role might exercise-based weight control among men play in masking disordered eating behavior from standard screening approaches?
- How could nurse educators design an eating-disorder prevention program that addresses both genders' distinct risk patterns rather than defaulting to female-focused outreach?
- What are the risks of assuming health science students are protected from disordered eating because of their professional health knowledge?
- How does the convenience sampling and single-city setting of this study limit its applicability to nursing students in other countries, such as Canada?
- Given the non-significant gender difference in depression found here, what would need to change about the study design to detect a smaller but real difference?
- What follow-up study design (for example, longitudinal or larger multi-site) would help clarify whether these gender differences change over the course of nursing or medical training?
Knowledge check
Quiz
1. What was the total number of medical and nursing students surveyed in this study?
- 213
- 241
- 454
- 691
Rationale: The study surveyed 241 medical students and 213 nursing students in Bangalore, South India, for a combined total of 454 participants.
2. Which statistical result confirmed that men had significantly higher BMI than women?
- t=5.403, p<0.001
- chi-square=12.1, p<0.01
- r=0.45, p<0.05
- p=0.09 (not significant)
Rationale: The study reports: 'men had a significantly higher BMI than women (t=5.403, p<0.001).'
3. What percentage of women perceived themselves as overweight, compared to men?
- 74.8% of women vs. 28.9% of men
- 28.9% of women vs. 74.8% of men
- 50% of women vs. 50% of men
- 81.6% of women vs. 33% of men
Rationale: The study found 74.8% of women perceived themselves as overweight, compared to 28.9% of men.
4. Which screening tool used in this study is a 5-item questionnaire where a score of 2 or higher signals eating-disorder risk?
- EAT-26
- PHQ-9
- SCOFF
- A BMI calculator
Rationale: The SCOFF questionnaire is a 5-item screen for disordered eating, with a cutoff score of 2 or higher indicating risk.
5. On the SCOFF questionnaire, which gender screened positive for disordered eating more often?
- Men (45.4%) more than women (31.1%)
- Women (45.4%) more than men (31.1%)
- Equal rates in both genders
- Neither gender screened positive
Rationale: The study found 45.4% of men vs. 31.1% of women scored positively for disordered eating behaviors on the SCOFF.
6. What percentage of women reported binge eating compared to men, and was this difference significant?
- 48.2% of women vs. 41.2% of men, p<0.004
- 41.2% of women vs. 48.2% of men, p<0.004
- 48.2% of women vs. 41.2% of men, not significant
- There was no data on binge eating in this study
Rationale: The study states 48.2% of women practiced binge eating compared to 41.2% of men, a statistically significant difference (p<0.004).
7. Which weight-control strategy was significantly more common among men than women?
- Exercising more than 60 minutes (47.4% vs. 25.4%, p<0.001)
- Vomiting or laxative use
- Skipping meals entirely
- Seeking psychiatric hospitalization
Rationale: The study reports more men (47.4%) than women (25.4%) exercised for more than sixty minutes to control weight (p<0.001).
8. What type of study design was used to collect this data?
- Descriptive cross-sectional study
- Randomized controlled trial
- Longitudinal cohort study
- Case-control study
Rationale: The methods section states: 'A descriptive cross sectional descriptive study was conducted in conveniently selected medical and nursing students.'
9. Where and when was the data for this study collected?
- Bangalore, South India, between August and October 2014
- Mumbai, India, in 2010
- New Delhi, India, over five years
- Multiple cities across India in 2020
Rationale: The study was conducted among conveniently selected students in Bangalore, South India, with data collected from August to October 2014.
10. According to the authors' conclusion, what should the gender differences found in this study inform?
- Interventional programs to prevent eating disorders in this population
- A ban on exercise among male students
- Elimination of BMI as a health measure
- Mandatory psychiatric hospitalization for all students
Rationale: The abstract concludes: 'Findings indicate small differences between the genders that have to be taken in consideration in planning interventional programs to prevent eating disorders in this population.'
Study cards
Flashcards
How many total students participated in this study, and how were they split?
454 students in total: 241 medical students and 213 nursing students, from Bangalore, South India.
What data collection period did the study use?
August to October 2014.
What was the study's response rate?
91.9% of eligible students agreed to participate.
What percentage of the sample was female?
78.6% of participants were women.
What is the SCOFF questionnaire?
A 5-item screening tool for disordered eating; a score of 2 or higher indicates risk.
What is the EAT-26?
A 26-item Eating Attitudes Test; a score of 20 or higher indicates at-risk status for disordered eating.
What depression screening tool did the researchers use?
The PHQ-9 (Patient Health Questionnaire-9).
Who had a significantly higher BMI in this study, men or women?
Men had a significantly higher BMI than women (t=5.403, p<0.001).
What percentage of women perceived themselves as overweight?
74.8% of women, compared to 28.9% of men.
What percentage of women were dissatisfied with their weight?
81.6% of women, compared to 33% of men.
Which gender screened positive more often on the SCOFF questionnaire?
Men, at 45.4%, compared to 31.1% of women.
Which gender screened positive more often on the EAT-26?
Men, at 16.5%, compared to 8.7% of women.
What percentage of women reported binge eating, and how did it compare to men?
48.2% of women reported binge eating, compared to 41.2% of men (p<0.004).
What percentage of men exercised more than 60 minutes for weight control, compared to women?
47.4% of men, compared to 25.4% of women (p<0.001).
How common was purging behavior (vomiting or laxative use) in this sample?
Fewer than 10% of both men and women reported using vomiting or laxatives to control weight.
Did severe depression differ significantly by gender in this study?
No; men reported somewhat higher rates (9.3% vs. 4.5%) but the difference was not statistically significant.
What sampling method did the researchers use to recruit participants?
Convenience sampling of medical and nursing students in Bangalore, South India.
What is the main paradox the authors describe in their discussion?
Women showed greater body dissatisfaction and perceived-overweight status despite lower BMI, while men showed higher disordered-eating risk on validated screening tools.
What did the authors recommend based on their conclusion?
That gender differences be considered when designing interventional programs to prevent eating disorders in medical and nursing student populations.
What was the average age of male and female participants?
About 20 years (SD=2.04) for men and 19 years (SD=1.32) for women.
Search-ready answers
Frequently asked questions
What was the purpose of this study?
To assess gender differences in BMI, body weight perception, weight satisfaction, disordered eating, and weight control strategies among medical and nursing undergraduates in India.
How many students were surveyed, and where?
454 students (241 medical, 213 nursing) in Bangalore, South India, surveyed between August and October 2014.
What tools were used to measure disordered eating in this study?
The SCOFF questionnaire and the EAT-26, both validated screening (not diagnostic) instruments for eating-disorder risk.
Did men or women have a higher BMI in this study?
Men had a significantly higher average BMI than women (t=5.403, p<0.001).
Were women or men more dissatisfied with their weight?
Women reported much higher weight dissatisfaction (81.6%) than men (33%), despite having a lower average BMI.
Did men or women screen higher for disordered-eating risk?
Men screened positive more often on both the SCOFF (45.4% vs. 31.1%) and the EAT-26 (16.5% vs. 8.7%).
How common was binge eating in this population?
Very common in both genders: 48.2% of women and 41.2% of men reported binge eating, a statistically significant difference.
What weight-control method did men use more than women?
Prolonged exercise (more than 60 minutes), reported by 47.4% of men compared to 25.4% of women.
Is this study generalizable to nursing students outside India?
No. It used a convenience sample from students in one city (Bangalore) and a cross-sectional design, so findings should not be generalized broadly.
What did the researchers conclude should happen based on their findings?
That the gender differences found, though modest, should inform the design of programs to prevent eating disorders among medical and nursing students.