ALL Metrics
-
Views
-
Downloads
Get PDF
Get XML
Cite
Export
Track
Study Protocol

A cross sectional comparative study to assess body image dissatisfaction in men and women in rural central India

[version 1; peer review: awaiting peer review]
PUBLISHED 24 Jan 2024
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS AWAITING PEER REVIEW

This article is included in the Datta Meghe Institute of Higher Education and Research collection.

Abstract

Background

In recent decades, the topic of body image has frequently been discussed. Some people view their bodies favorably, whereas others think negatively of them (1). An unhealthy body image can lead to terrible outcomes and is unpleasant (2). This is a significant public health problem that calls for effective intervention. So far, studies on body image issues in the past have tended to concentrate more on women. Therefore, there is a great demand for research on young people’s body image dissatisfaction as well as for comparative studies.

Our objective was to assess the prevalence of body image issues in men and women aged 18 to 35 in rural central India and to determine the gender differences in body dissatisfaction.

Methods

This is a cross sectional study based on young adults aged 18 to 35 in rural central India. It is a convenience-based sampling and the formula used is Krejcie-Morgan Formula, using this the sample size came out to be 190. The ethics committee’s approval will be secured and the students will be asked for their informed consent before providing socio-demographic information and completing the following questionnaires: 1.

Body image dissatisfaction scale.

2.

Body image questionnaire.

Results

Once we get the answers to the aforementioned questionnaires, we will be able to evaluate the prevalence of body image problems among adults in rural central India and also compare the gender disparities in body dissatisfaction.

Keywords

body dissatisfaction, body image issues, body image gender differences, body image males, body image females, Body image distortion, Body image perceptions, body image self-esteem.

Introduction

In recent decades, the notion of body image has been the topic of discussion. Every person has an opinion regarding his or her physical form; some people have a favorable perception regarding their body, while others not so much. Body image refers to one’s perception, thoughts, and feelings about one’s own body and how others see it. It is an attitude towards one’s own physical appearance. Body image is the arbitrary judgment of one’s own physical appearance.1

A poor self-image can have negative consequences and is uncomfortable. Physical and mental health, as well as self-esteem, mood, competence, social interaction, and job performance, can all be negatively impacted by having a poor body image.2

Body dysmorphic disorder, anorexia nervosa and bulimia nervosa are all disorders in which the false perception of body image plays an important role.2,3

This is a significant public health issue that calls for effective intervention. Yet, a lack of understanding of the seriousness of body dissatisfaction as well as stigmatization of linked behaviors and body dissatisfaction may contribute to low levels of help-seeking and long-lasting negative impacts.4

Women have traditionally been the subject of body image studies in the past. They reported higher levels of body shame, body surveillance, and difference between their ideal and actual body figures, as well as higher levels of dissatisfaction with their weight and physical attractiveness than males did.5,6 However, researchers have found that men are also affected by poor body image.7,8

Globally many adults suffer from body image dissatisfaction which can have a detrimental effect on their mental health. There is a lack of awareness regarding this issue and very few studies have been conducted on the prevalence of poor body image in adults. Even fewer studies have compared the gender differences regarding the same. The purpose of the current study is to determine the prevalence of body image dissatisfaction in adults aged 18-35 and to determine gender differences.

Aim

To assess prevalence of body image issues in adults aged 18 to 35 in rural central India and determine the gender differences in body dissatisfaction.

Methods

Study design

This is a cross-sectional study based in the Wardha district of rural central India. Recruitment will take place between 15th November 2023-15th November 2024.

Study population

Adults aged 18-35 in rural central India will be selected randomly keeping in mind the inclusion and exclusion criteria, from the rural setting of Wardha district in central India. The objective of the study will be explained to each participant and written consent for participating in the study will be obtained.

Sample size: 190 (95 males plus 95 females)

Type of sampling: convenience sampling

Formula used

n≥z1−α22×P×1−pd2
  • â–ª P: Proportion or prevalence of Body Dissatisfaction 85.85% (Male = 80.7% & Female = 91%)

  • â–ª Z alpha at 5% level = 1.96 (Constant)

  • â–ª Estimated margin of error (d) = 0.05

Inclusion criteria

  • a) Subjects aged 18 to 35.

  • b) Subjects should be able to give written informed consent.

Exclusion criteria

  • a) Subjects not willing to participate in the study.

  • b) Subjects with medical and surgical co-morbidities.

  • c) Subjects with diagnosed psychiatric illnesses who are presently taking treatment for these.

The participants’ informed consent as well as socio-demographic information will be gathered. They will be selected randomly keeping in mind the inclusion and exclusion criteria, from the rural setting of Wardha district in central India. The objective of the study will be explained to each participant and a written consent form for participating in the study will be obtained. Their confidentiality will be maintained and the data will be used for strictly research purposes.

Ethical considerations

The Institutional Ethics Committee has given approval for the study (DMIMS (DU)/IEC/2022/12) on 15th July 2022. The patients who are targeted for this study will be asked for their informed consent.

Data collection

The following surveys will subsequently be given to the subjects after obtaining written consent. They will be selected randomly keeping in mind the inclusion and exclusion criteria. The objective of the study will be explained to each participant and they will be asked to complete the questionnaires. The data collection will take place in rural setting of the Wardha district in central India, starting from 15th November 2023 until 15th November 2024.

  • 1. Socio-demographic Performa

  • 2. Body image dissatisfaction scale

  • 3. Body image questionnaire

  • 1. Socio-demographic data: this includes details on socio-demographic factors including age, sex, education, marital status, religion, employment status, place of residence, and so forth.

  • 2. Body image questionnaire: this is considered as an outcome measure and as part of standard assessments for BDD symptoms. Q8-19 is added up to determine the final score. A higher score indicates greater impairment and a higher risk of receiving a diagnosis of BDD. The total scores range from 0 to 72. A clinical evaluation of avoidance and safety seeking behaviors includes questions 20 and 21. The final query asks about any previous cosmetic operations that someone may have undergone.

  • 3. Body image dissatisfaction scale: this was developed by Beach and Goldner (1992) and has 10 self-report items that measure views of physical appearance over the world. Scores range from 10 to 40, with 40 being the highest level of body image dissatisfaction.

Statistical analysis

All the results will be calculated using SPSS software version 23. Results for the outcome variables Body image questionnaire (BIQ) score, between the two groups will be initially tested for the normality distribution on quantitative measurements. If data follows normal distribution parametric test (t-test unpaired) will be used to find the significance in means between the two group. If data does not follow normal distribution alternate Mann Whitney non parametric test will be used to find the significance between two groups. For finding the significance analysis on ordinal scale data for outcome parameter (Body Image Dissatisfaction Scale) alternate Mann Whitney non parametric test will be used to find the significance between two groups.

Limitations

  • 1. The design of this study is cross sectional.

  • 2. It is limited to adults of aged 18 to 35.

  • 3. Adults with medical and surgical co-morbidities and with diagnosed psychiatric illnesses are not included in this study.

Bias

Random selection strategy will be followed for the selection of study participants to prevent selection bias. An open-ended questionnaire will be used for data collection to avoid measurement bias.

Discussion

Both genders are equally affected by negative body image, according to a 2016 study on gender differences in body dissatisfaction which was done on married adults in the age range of 22 to 40 with at least two and at most 20 years of marriage. Women were more dissatisfied with their bodies than men, while men were marginally more worried about their fitness and engaged in efforts to enhance their physical fitness.1

Seyed Alireza Hosseini and Ranjit K. Padhy defined body image and body image distortions in 2019, discussed factors influencing the development of body image, and summed up the significance of cooperation and communication among the multidisciplinary team to improve outcomes for patients with body image distortion.2

In a 2018 study, Renata Sadibolova and Elisa R. Ferre examined the 1D length and 3D volume of a sample of healthy persons’ perceptions of their body size. Depending on the measurement units employed, the participants were randomly split into two groups (other body part and non-body object). They determined the number of units that might fit in each body segment as well as the overall body’s perceived size. The patterns of length and volume misperception among examined sections were shown to be correlated with their actual sizes. Using the pattern of volume misperception, a 3D body proportion representation resembling a sensorimotor homunculus is created. The body parts that were overstated the most had a reduced true surface area to volume ratio, whereas those that were underestimated in volume tended to have inflated lengths.3

The impact of social marketing films using narrative-entertainment or documentary information techniques on body dissatisfaction was examined by Sian A. Mclean in 2020. The findings imply that social marketing can increase body dissatisfaction awareness, unintentionally doing harm. The findings of this study offer preliminary support for diffusion via social marketing.4,9

The links between self-esteem, body image, and health-related behaviors among male and female first-year college students were studied by Lowery, S.E., and Robinson Kurpius, S.E. in 2005. According to them, women’s self-esteem was consistently linked to body image dissatisfaction, with them having a more negative body image than men. The women had an unfavorable perception of their bodies even when they exercised frequently like the males did. Lastly, both men and women’s self-esteem and body image were positively correlated with more positive physical fitness and health-related activities.6,10

Brennan, Lalonde, and Bain in 2010 studied the gender differences in body image perception. They claim that although men may be more negatively impacted than women, women have a larger rate of body image dissatisfaction. According to their research, men are more the subjects of media imagery, which has led to a larger emphasis on the muscular ideal.7

In 2020, Geeta Soohinda and Harshavardhan Sampath studied the prevalence, psychosocial correlates and influence of socio-cultural pressures on body image dissatisfaction among young Indian men. The study concluded that men who have wide access to Western media and are exposed to family and peer pressure are more likely to change their appearance.8

Expected outcomes

Once we get the answers to the aforementioned questionnaires from the 190 participants, we will be able to evaluate the prevalence of body image problems among adults in rural central India and also compare the gender disparities in body dissatisfaction.

Dissemination

The study will be presented in National Conference Proceedings and published in an indexed journal.

Study status

Until now, the questionnaires and the methodology of the study has been decided. Ethical approval has been obtained. Recruitment of the subjects has not yet begun.

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 24 Jan 2024
Comment
Author details Author details
Competing interests
Grant information
Copyright
Download
 
Export To
metrics
Views Downloads
F1000Research - -
PubMed Central
Data from PMC are received and updated monthly.
- -
Citations
CITE
how to cite this article
Sinha N and Patil DP. A cross sectional comparative study to assess body image dissatisfaction in men and women in rural central India [version 1; peer review: awaiting peer review]. F1000Research 2024, 13:81 (https://doi.org/10.12688/f1000research.142496.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
track
receive updates on this article
Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status:
AWAITING PEER REVIEW
AWAITING PEER REVIEW
?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 24 Jan 2024
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.