1. Background
Body image implies the accurate judgment of one's body shape and size and body-related feelings, thoughts, and behavior (1). Body image dissatisfaction has been reported as a severe risk factor for the development of eating disorders, depression, stress, low self-esteem, increased social anxiety, emotional distress (2), reduced appraisal of one's physical appeal, appearance rumination (3), and a tendency toward unnecessary appearance management (4). At the moment, this status has become increasingly prevalent on a universal scale (5).
Many demographic and socioeconomic factors (6), such as gender (7), age (8), marital status (9), anthropometric status (2), culture (10), and educational level (9), are effective in body image dissatisfaction. Traditionally, researchers have focused mainly on body image in women. In recent years, however, increased attention has been paid to male body image (11). Available data express that up to 90% of women, and 61% of men are dissatisfied with their body (12). Among Iranian women, the dissatisfaction rates have also been reported by 70% (13). The association among body mass index (14), waist circumference, waist to hip ratio (15), and body image dissatisfaction has been confirmed. Few studies have considered the association between body composition and body image (2). There is still a lack of studies on the subject investigating overweight or obese individuals (16) or gender comparisons of body image (8).
2. Objectives
Based on the previous findings outlined above, we investigated body image dissatisfaction and its correlation with anthropometric indicators and body composition in a small of sample Iranian men and women.
3. Methods
This cross-sectional study was performed between October and December 2019 in the city of Ardabil, Iran. The subjects (95 females and 95 males) were recruited among those attended a nutrition clinic using a convenience sampling method. Inclusion criteria were: (1) age range: 18 - 50 years; (2) body mass index: 18.5 - 40.0 kg/m2; (3) stable body weight (weight change ± 2 kg) three months before the initiation of the study; (4) non-pregnant, and non-lactating women; and (5) agreement to sign informed consent. Exclusion criteria included a documented history of mental disorders, taking psychotropic substances, and obesity surgery interventions.
Anthropometric measurements were achieved while participants were lightly clothed with no shoes. Weight and height were determined using a Seca digital weight scale and a wall-mounted stadiometer, respectively. Waist and hip circumference were determined as recommended by the world health organization. The body mass index, waist to hip, waist to height ratio was calculated using the following formulas: (1) weight (kg) divided by squared height (m2); (2) waist circumference (cm) divided by hip circumference (cm); (3) waist circumference (cm) divided by height (cm), respectively.
The body fat percentage, visceral fat level, and visceral fat area were measured using a bioelectrical impedance analysis (X-CONTACT 356; JAWON MEDICAL Co. Ltd., Republic of Korea).
The self-attitudinal aspects of the body-image construct were evaluated using the Multidimensional Body Self-relation Questionnaire (MBSRQ). This questionnaire consists of 69 items that are categorized in ten subscales of appearance evaluation, appearance orientation, fitness evaluation, fitness orientation, health evaluation, health orientation, illness orientation, body area satisfaction, subjective weight, and overweight preoccupation. All items are scored on a 5-point Likert scale, ranging from strongly disagree to strongly agree. The output is calculated through subscale mean values. The present study used the Persian version of the questionnaire with confirmed validity and reliability (17), and the principles of the Helsinki declaration were respected (18).
Data analysis was administered using SPSS software (version 21.0) by the Kolmogorov-Smirnov test to examine the distribution of variables performed by a histogram. Regarding the normal distribution of the data, parametric tests were applied to analyze the quantitative variables. The independent t-test was used to compare any significant differences for each study variable between genders. Correlations between subscales of body image and anthropometric indicators and body composition were calculated using the Pearson correlation test. A two-tailed p-value of less than 0.05 was considered statistically significant.
4. Results
For all participants, the mean weight, body mass index (BMI), waist circumference, waist to hip ratio, waist to height ratio, body fat percentage, visceral fat level, and visceral fat area were 80.26 ± 19.21 (kg), 27.93 ± 5.03 (kg/m2), 93.42 ± 14.66 (cm), 0.87 ± 0.08, 0.54 ± 0.06, 31.05 ± 7.13 (%), 11.14 ± 3.85, and 107.30 ± 52.29 (cm2), respectively. Table 1 provides the anthropometric characteristics of men and women. The differences in the mean weight, BMI, waist circumference, waist to hip ratio, waist to height ratio, body fat percentage, visceral fat level, and the visceral fat area between females and males were statistically significant (P-value < 0.001).
Variables | Mean ± SD | P-Value |
---|---|---|
Weight (kg) | < 0.001 | |
Female | 70.56 ± 12.77 | |
Male | 89.97 ± 19.72 | |
Body mass index (kg/m2) | < 0.001 | |
Female | 26.96 ± 4.61 | |
Male | 28.91 ± 5.26 | |
Waist circumference (cm) | < 0.001 | |
Female | 85.00 ± 9.40 | |
Male | 101.30 ± 14.34 | |
Waist to hip ratio | < 0.001 | |
Female | 0.82 ± 0.05 | |
Male | 0.92 ± 0.08 | |
Waist to height ratio | < 0.001 | |
Female | 0.52 ± 0.05 | |
Male | 0.57 ± 0.07 | |
Body fat percentage (%) | < 0.001 | |
Female | 34.20 ± 6.04 | |
Male | 28.10 ± 6.84 | |
Visceral fat level | 0.001 | |
Female | 10.15 ± 3.95 | |
Male | 12.07 ± 3.53 | |
Visceral fat area (cm2) | < 0.001 | |
Female | 82.62 ± 34.05 | |
Male | 130.41 ± 55.86 |
The Anthropometric and Body Composition Characteristics Across Gender
For all participants, the mean appearance evaluation, appearance orientation, fitness evaluation, fitness orientation, health evaluation, health orientation, illness orientation, body area satisfaction, subjective weight, and overweight preoccupation subscales scores were 3.58 ± 0.55, 3.89 ± 0.55, 3.4 ± 0.80, 3.42 ± 0.67, 3.24 ± 0.59, 3.39 ± 0.54, 3.55 ± 0.80, 3.19 ± 0.79, 3.60 ± 1.19, and 2.66 ± 0.75, respectively. Table 2 provides the body image subscales scores for men and women. The differences in the mean appearance orientation and illness orientation subscales scores between females and males were statistically significant (P-value < 0.001 and P = 0.01, respectively). The mean score was higher in women in both subscales.
Subscale | Mean ± SD | P-Value |
---|---|---|
Appearance evaluation | 0.14 | |
Female | 3.64 ± 0.61 | |
Male | 3.52 ± 0.48 | |
Appearance orientation | < 0.001 | |
Female | 4.04 ± 0.57 | |
Male | 3.72 ± 0.49 | |
Fitness evaluation | 0.85 | |
Female | 3.65 ± 0.82 | |
Male | 3.63 ± 0.78 | |
Fitness orientation | 0.58 | |
Female | 3.39 ± 0.74 | |
Male | 3.45 ± 0.59 | |
Health evaluation | 0.32 | |
Female | 3.20 ± 0.58 | |
Male | 3.29 ± 0.59 | |
Health orientation | 0.34 | |
Female | 3.43 ± 0.50 | |
Male | 3.35 ± 0.57 | |
Illness orientation | 0.01 | |
Female | 3.70 ± 0.74 | |
Male | 3.41 ± 0.83 | |
Body area satisfaction | 0.07 | |
Female | 3.10 ± 0.77 | |
Male | 3.30 ± 0.67 | |
Subjective weight | 0.42 | |
Female | 3.53 ± 1.19 | |
Male | 3.67 ± 1.18 | |
Overweight preoccupation | 0.05 | |
Female | 2.77 ± 0.78 | |
Male | 2.55 ± 0.70 |
Comparison of the Body Image Subscales Scores Across Gender
The correlations among body image subscales, anthropometric measurement, and body composition are shown in Table 3. Based on the results, the appearance orientation subscale score was negatively correlated with anthropometric measurement and body composition. In contrast, the subjective weight, overweight preoccupation, and health evaluation subscales scores were positively correlated with anthropometric measurement and body composition.
Variables | Weight | BMI | PBF | VFL | VFA | WHR | WC | AE | AO | FE | FO | HO | IO | BAS | SW | WP | HE |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
WEIGHT | 1 | ||||||||||||||||
BMI | 0.87*** | 1 | |||||||||||||||
PBF | 0.41*** | 0.73*** | 1 | ||||||||||||||
VFL | 0.73*** | 0.89*** | 0.73*** | 1 | |||||||||||||
VFA | 0.77*** | 0.82*** | 0.51*** | 0.90*** | 1 | ||||||||||||
WHR | 0.78*** | 0.79*** | 0.45*** | 0.90*** | 0.97*** | 1 | |||||||||||
WC | 0.97*** | 0.89*** | 0.46*** | 0.83*** | 0.87*** | 0.88*** | 1 | ||||||||||
AE | -0.07 | -0.08 | 0.04 | -0.05 | -0.13 | -0.10 | -0.08 | 1 | |||||||||
AO | -0.29*** | -0.23** | -0.01 | -0.23** | -0.26** | -0.28*** | -0.30*** | 0.22** | 1 | ||||||||
FE | -0.08 | -0.10 | -0.10 | -0.13 | -0.14 | -0.15* | -0.10 | 0.28*** | 0.17* | 1 | |||||||
FO | -0.10 | -0.12 | -0.17* | -0.13 | -0.13 | -0.12 | -0.11 | 0.21** | 0.12 | 0.66*** | 1 | ||||||
HO | -0.11 | -0.08 | -0.05 | -0.07 | -0.07 | -0.08 | -0.12 | 0.174* | 0.39*** | 0.47*** | 0.48*** | 1 | |||||
IO | -0.11 | -0.04 | 0.09 | -0.04 | -0.09 | -0.10 | -0.10 | 0.21** | 0.42*** | 0.40*** | 0.41*** | 0.48*** | 1 | ||||
BAS | 0.10 | -0.01 | 0.0 | 0.06 | 0.05 | 0.12 | 0.11 | 0.54*** | -0.03 | 0.23** | 0.26** | 0.17* | 0.12 | 1 | |||
SW | 0.69*** | 0.86*** | 0.74*** | 0.80*** | 0.65*** | 0.64*** | 0.71*** | 0.01 | -0.14 | -0.06 | -0.06 | -0.05 | -0.02 | 0.02 | 1 | ||
WP | 0.27*** | 0.38*** | 0.38*** | 0.29** | 0.21** | 0.17* | 0.25** | -0.03 | 0.13 | 0.07 | 0.12 | 0.12 | 0.07 | -0.07 | 0.48*** | 1 | |
HE | 0.21** | 0.20** | 0.12 | 0.14 | 0.11 | 0.08 | 0.21** | 0.11 | -0.13 | 0.27*** | 0.32*** | 0.26** | 0.24** | 0.07 | 0.21** | 0.10 | 1 |
5. Discussion
This study aimed to explore the correlation between gender differences and anthropometric indicators with body image dissatisfaction among adults. According to the findings, the appearance orientation and illness orientation subscales scores were higher in women. In these subscales, the meaning of high scores is more investment and more alert, respectively. A negative association was observed between appearance orientation subscale score with anthropometric indicators and body composition. There was a strong positive correlation between the subjective weight subscale score and the above-mentioned variables (correlation coefficient range: 0.64 - 0.86, P < 0.001).
Body image is a multidimensional construct that contains a person’s perceptions, thoughts, feelings, and behaviors about the size, shape, and structure of a body (19). It can be influenced by media, family, and social environment directly and indirectly (20). This situation may be related to unhealthy behaviors and psychosocial morbidities (21). Greater body dissatisfaction has been reported in women than in men (22, 23).
In Quittkat et al.' study, the mean score for the appearance orientation scale was 3.11 ± 0.64, 3.20 ± 0.62, and 2.91 ± 0.64 for the total population, women, and men, respectively (8). The mean appearance orientation subscale is reported 3.84, 3.65, 3.73, 3.37, 3.29, 3.74, and 3.59 in Cyprus, France, Spain, Germany, Greece, Poland, and the Netherlands, respectively (24). As compared to other countries, it seems that Iranians pay more attention to their appearance. It can be described by the lack of a prevention culture regarding body image. In the present study, women placed more attention on their appearance, which is in line with the findings of other studies (8, 25-27). The studied women were young in this study (mean age: 24.42 ± 3.69 years). It should be noted that the importance of appearance may decrease with age in women (28, 29), which should be considered.
Typically, young women desire to attain a thin body image. This condition may be associated with dieting, dysfunctional exercising, purging, and laxative use (30), while men like to achieve a muscular/athletic body (31). These desires may be associated with excessive exercising and dieting (32). However, thin-idealization in women, and muscular/athletic-idealization in men, could play an important role in the development of eating disorders (33) and behavioral and emotional reactions (24). In the current study, the MBSRQ overweight preoccupation subscale can be used to evaluate such reactions. Moreover, it seems that being more preoccupied with weight is almost prevalent among women (P-value = 0.05).
High scorers in the illness orientation subscale are notified of signs of physical illness and are prone to seek medical care (34). In Cash and Brown’s study, women were more illness-oriented (35), which is consistent with the results of our study. While women mention more sicknesses, both chronic and acute than men, its severity is lower among them, and all age groups had lower death rates (36, 37). It seems that seeking medical care leads to such results. Females are more likely to act in preventive health behaviors (38, 39). They place a higher cost on health than do men (39). The gender differences in health and illness orientations can be explained by gender role responsibilities. Therefore, women’s responsibility of being in the family's health may contribute to more significant concern in health and health-related behaviors.
According to the findings, an increase in body weight, BMI, waist circumference, waist to hip ratio, visceral fat level, and visceral fat area can reduce appearance orientation among the studied population. A positive correlation was found among subjective weight, overweight preoccupation, health evaluation, anthropometric indicators, and body composition. In previous studies, the association among BMI (14, 40), waist circumference (15, 41), waist to hip ratio (15), visceral fat level, visceral fat area (2), and body image dissatisfaction has been established. These results suggest that anthropometric indicators and body composition components may be reliable indexes of body image dissatisfaction among the studied population. Also, these associations indicate the effect of fat distribution and abdominal obesity on subjective weight and overweight preoccupation. More attention needs to be paid to correcting body composition and body image for health promotion in the community.
The present study suffers from some limitations that must be mentioned, including the small sample size. Also, we followed a cross-sectional design that is not appropriate to determine causality. Future research in this area would benefit from studying these issues longitudinally. In addition, self-administered questionnaires were used to access body image dissatisfaction, which is prone to bias. Also, this study was only focused on the correlation between gender differences and anthropometric indicators with body image dissatisfaction, while other factors such as socioeconomic, family, and media can affect it.
5.1. Conclusions
The results highlight the attention to body image subscales in Iranians, regardless of gender. Our observations may have implications for public health. The findings suggest that gender is the primary factor in determining body image. Thus, it demonstrates a different target group for which health interventions should be correctly designed.