Abstract
Background:
Despite the large evidence on the association between obesity and psychological disorders, studies investigating new anthropometric indices in relation to mental health are limited. We aimed to explore the association between A Body Shape Index (ABSI) and Body Roundness Index (BRI) and common psychological disorders (anxiety, depression, and psychological distress) among Iranian adults.
Methods:
In this cross-sectional investigation, anthropometric measures of 3213 Iranian adults were gathered using a validated self-reported questionnaire. ABSI and BRI values of participants were calculated through pre-defined formulas. General Health Questionnaire (GHQ) and Hospital Anxiety and Depression Scale (HADS) validated for Iranians were used to assess psychological distress, anxiety, and depression.
Results:
Mean age of participants was 36.6 ± 7.73, and 62.8% of them were women. ABSI and BRI were higher in subjects with anxiety and psychological distress. Also, depressed participants had higher BRI. After considering potential confounders, individuals in the last tertile of ABSI, compared to the first tertile, had higher odds of anxiety (OR: 1.41, 95%CI: 1.04, 1.93) and psychological distress (OR: 1.39, 95%CI: 1.09, 1.79). Also, a marginal association was found between the highest category of ABSI and depression (OR: 1.27; 95%CI: 1.00, 1.61). In the sex-stratified analysis, ABSI was positively related to odds of anxiety (OR: 1.58; 95%CI; 1.12, 2.22), depression (OR: 1.40; 95%CI; 1.07, 1.84), and psychological distress (OR: 1.51; 95%CI; 1.13, 2.01) among women, but not men. We failed to find any significant association between BRI and depression, anxiety and psychological distress.
Conclusion:
We found that ABSI was associated with anxiety, depression and psychological distress among females, but not males. However, we did not find a significant relation between BRI and the outcomes. Further prospective studies are required to confirm our findings.
Introduction
Mental health is known as a state of well-being that a person apprehends his or her capacity, can handle life difficulties and can involve in the community (1). The prevalence of mental disorders is increasing drastically, of which depression and anxiety are the most considerable (2, 3). Approximately, 4.4 and 4.8% of the world's population is, respectively, affected by depression and anxiety (4, 5). According to a national survey, the prevalence of depression and anxiety in Iranian adults was 13.6–42.6 and 15.6%, respectively (6, 7).
Some previous investigations have focused on the association between body mass index (BMI) and the risk of mental disorders (8–10). BMI was inversely associated with depressive disorders in some populations (10); however, other reports showed no significant association (9). Furthermore, previous meta-analyses found a positive association between BMI and depression and anxiety (11, 12). There are several limitations for BMI, as an index of body composition, such as its inability to distinguish between muscle mass and fat mass as well as the inability to determine fat locations (13). Differential relations between the distribution of body fat (general vs. abdominal obesity, or visceral vs. subcutaneous fat) and anxiety and depression were previously suggested (14). Hypothalamic-pituitary-adrenocortical (HPA) axis over-activity is a possible biological mechanism by which depression and anxiety could be developed, and this over-activity could particularly result from abdominal obesity (15). Furthermore, among individuals with abdominal obesity, metabolic complications are more prevalent in those with greater visceral fat than in those with higher subcutaneous fat (16). Therefore, not only the type of obesity, but also the distribution of body fat is an important factor for developing anxiety and depression.
Due to the important limitations of BMI, the association between some other indices, such as total body fat, triceps skin-folds, waist circumference (WC) and waist-hip ratio (WHR), and the risk of depression have been investigated (9, 10). Although total body fat and triceps skin-folds were positively linked to depression (9), WHR and WC were not associated with these conditions in some societies (9, 10, 17). A meta-analysis revealed a 38% increased odds of depression in males and females with enlarged WC (18). Nevertheless, WC has also key limitations of being sensitive to body size, fat percentage and fat distribution as well as being correlated with BMI (13). A Body Shape Index (ABSI) has been developed to compensate for BMI and WC limitations and discrepancies (13). This index was proposed to predict mortality risk, independent of BMI (13). Higher ABSI contributes to a more fraction of visceral fat, indicating that WC is higher than expected for a given height and weight (13). Additionally, Body Roundness Index (BRI) is a novel anthropometric index developed to predict both percentages of total body fat and visceral fat, which are not clearly addressed by BMI (19). The association between BRI and odds of CVD and CVD risk factors has been previously shown (20). Both ABSI and BRI were established to detect abdominal obesity, and predominantly visceral fat. To find the more reliable predictor, previous studies have investigated both ABSI and BRI in relation to the outcomes and found inconsistent results (21–24).
Adiposity types differently affect anxiety and depression status (14), and traditional indices have some limitations for differentiating general and abdominal obesity as well as visceral and subcutaneous fat. ABSI and BRI have high correlation with visceral fat (13), which is found to be more important in the prevalence of mental disorders. There is a lack of evidence on the association between ABSI and BRI and mental health. Therefore, this study aimed to examine the relationship between ABSI and BRI and the prevalence of common psychological disorders (anxiety, depression, and psychological distress) in a large population of Iranian adults.
Materials and Methods
Participants
The current cross-sectional investigation was carried out on data from the Study on the Epidemiology of Psychological, Alimentary Health and Nutrition (SEPAHAN) project. The methodology of the SEPAHAN project has already been described elsewhere (25). The original project recruited a large number of Iranian men and women (aged ≥18 y) occupied in 50 different health centers in Isfahan, Iran. The target population was both health providers and those involved in administrative tasks. Data were collected in two separate stages (3–4 weeks apart) with two different sets of questionnaires. In the first stage (April 2010), demographic characteristics, medical history, and anthropometric measures of the subjects were collected by a self-reported questionnaire. In this phase, questionnaires were distributed and collected within three weeks. The second stage (mid-May 2010) was designed to assess psychological health of the participants, and was completed in two weeks. Participants were also provided the study's brochures to help them filling out the questionnaires. Written informed consent forms were completed by all participants before data collection. The Medical Research Ethics Committee of Isfahan University of Medical Sciences, Isfahan, Iran, was ethically approved the SEPAHAN project.
Anthropometric Assessment
Participants' weight, height, and WC were obtained by using a self-reported questionnaire (26). BMI was then computed by dividing weight (kg) and height squared (m2). A pilot study on 171 individuals examined the validity of the self-reported anthropometric values (26). This validation study compared self-reported values for weight, height, and WC with the values measured by a trained nutritionist. The correlation coefficients for the self-reported height, weight and WC versus measured values were 0.83 (P < 0.001), 0.95 (P < 0.001), and 0.60 (P < 0.001), respectively. Furthermore, the correlation between BMI values calculated from self-reported and nutritionist-measured values was 0.70 (P < 0.001). These findings indicate a reasonable measure for anthropometric indices provided by the self-reported questionnaire.
ABSI and BRI were calculated by previously mentioned formulas (13, 20) using WC (m), BMI (kg/m2), and height (m) as below:
ABSI and BRI were not previously validated against gold-standard measurements such as Magnetic resonance imaging (MRI), Computed tomography (CT) or Dual-energy X-ray absorptiometry (DEXA), because these measurement methods are expensive, unpractical and hard to use in large populations.
Assessment of Common Psychological Disorders
Anxiety and depression were examined using the Iranian validated version of Hospital Anxiety and Depression Scale (HADS) (27). This questionnaire contains 14 items by which anxiety and depression are separately examined as an individual subscale. Subjects were received a score of 0 to 21. For each subscale, values of 0 to 7 were defined as having normal mental health, and scores ≥8 were considered as psychological disorders (28). A study conducted on 167 Iranian adults indicated the reasonable validity of the translated version of HADS (27).
We used the Iranian validated version of General Health Questionnaire (GHQ) to screen psychological distress (29). This questionnaire contains 12 items, and each item contains a 4-point rating scale (less than usual, no more than usual, rather more than usual, or much more than usual). The bimodal scoring method (0-0-1-1) was applied to define psychological distress. By using this method, a score between 0-12 belongs to each participant; higher values define a higher degree of psychological distress (30). In the current investigation, scores ≥4 were considered as high psychological distress. GHQ-12 has a reasonable validity in Iranian adults, according to a preliminary study (29).
Assessment of Other Variables
We applied a self-administered questionnaire to gather data on sex, age, marital status (single/married/divorced or widowed), smoking status (non-smoker/former smoker/current smoker), diabetes (yes/no), and use of anti-psychotic medications (including sertraline, nortriptyline, imipramine or amitriptyline, fluvoxamine, fluoxetine, and citalopram). Physical activity level was assessed by the General Practice Physical Activity Questionnaire (GPPAQ). This questionnaire classifies individuals into four levels of activity (31); inactive (no physical activity), moderately inactive (<1 h/week), moderately active (1–3 h/week), and active (≥3 h/week).
Statistical Analysis
After computing ABSI and BRI, tertile cut-off points of these indices were used to classify study participants. Continuous and categorical variables for general characteristics of subjects were reported as means ± SDs and percentages, respectively. Analysis of variance (ANOVA) and Chi-square tests were applied to determine differences across ABSI and BRI tertile. Correlation coefficients of ABSI with BRI, WC, height, weight, and BMI were obtained while age and sex were adjusted. Independent sample t-test was used to examine differences in ABSI and BRI among individuals with and without anxiety, depression and/or psychological distress. We evaluated the association of ABSI and BRI with common psychological disorders by logistic regression in crude and multivariable adjusted models. Sex (male/female), age (continuous), marital status (single/married/divorced or widowed), smoking status (non-smoker/former smoker/current smoker), physical activity (inactive/moderately inactive/moderately active/active), diabetes (yes/no), and use of anti-psychotic medications (yes/no) were adjusted. The first tertile of ABSI/BRI was considered as the reference for all odds ratios. Furthermore, by considering the tertiles of ABSI/BRI as an ordinal variable, the trend of odds ratios across these tertiles was estimated. Sensitivity analysis was also performed by excluding anti-psychotic medication users. Furthermore, stratified analysis based on sex (male/female) was also performed. We also performed a linear regression analysis by considering ABSI, BRI and scores of psychological disorders as continuous variables. As the ABSI values had a narrow range (0.0341 to 0.1180) and were small, we multiplied the original values by 100 to have more intuitive results. Standardized regression coefficients were also reported. Variance Inflation Factor (VIF) was measured to assess the multi-collinearity of the predictors in the adjusted model. SPSS software (version 20; SPSS Inc., Chicago IL) was applied for all statistical analyses, and P < 0.05 was considered as significant level.
Results
Questionnaires were sent to 10087 individuals in both phases, with a response rate of 86.16% (n = 8,691) in the first and 61.85% (n = 6,239) in the second phase. Then, data of two stages were combined. Subjects were excluded if they did not have information at phase 1 or 2, did not report their identification code in phase 1 or 2, or did not have data on exposure, outcome, or covariates. Finally, 3,213 individuals had the complete data for inclusion in the current analysis. Participants had a mean age and weight of 36.6 ± 7.73 (y) and 68.37 ± 13.09 (kg), respectively. Females made up 62.8% of the study participants. General characteristics of study participants based on ABSI and BRI tertiles are indicated in Table 1. Compared to the first tertile, subjects in the last tertile of ABSI had higher age, weight, as well as lower BMI. Also, individuals in the top tertile of ABSI were more likely to be married and have diabetes; and less likely to be female, smoker, and physically active compared to the bottom tertile. Furthermore, participants in the third tertile of BRI had higher age, weight and BMI, and were more likely to be females, married, diabetic, anti-psychotic drugs user, and overweight/obese compared to the first tertile. In contrast, adults in the last tertile of BRI, compared to the first one, had lower physical activity levels.
Table 1
| Tertiles of ABSI | Tertiles of BRI | |||||||
|---|---|---|---|---|---|---|---|---|
| T1 (n=1,071) | T2 (n=1,071) | T3 (n=1,071) | Pb | T1 (n=1,071) | T2 (n=1,072) | T3 (n=1,070) | Pb | |
| Age (y) | 35.2 ± 7.44 | 36.6 ± 7.49 | 38.0 ± 8.01 | <0.001 | 34.1 ± 7.53 | 36.6 ± 7.49 | 39.1 ± 7.36 | <0.001 |
| Weight (kg) | 67.1 ± 13.69 | 69.1 ± 12.50 | 68.9 ± 12.97 | 0.001 | 65.1 ± 13.32 | 68.7 ± 13.06 | 71.2 ± 12.13 | <0.001 |
| Body mass index (kg/m2) | 25.4 ± 5.54 | 25.2 ± 3.87 | 24.8 ± 3.78 | 0.02 | 22.4 ± 3.31 | 24.8 ± 3.01 | 28.1 ± 4.88 | <0.001 |
| Female (%) | 74.9 | 58.2 | 55.3 | <0.001 | 52.2 | 59.9 | 76.3 | <0.001 |
| Married (%) | 75.6 | 84.7 | 87.0 | <0.001 | 72.2 | 85.6 | 89.6 | <0.001 |
| Diabetes (%) | 0.6 | 1.7 | 2.4 | 0.002 | 0.7 | 1.2 | 2.8 | <0.001 |
| Anti-psychotic medicationsc (%) | 4.2 | 4.9 | 6.3 | 0.09 | 3.5 | 4.9 | 7.1 | 0.001 |
| Smokers (%) | 14.5 | 13.1 | 13.3 | 0.01 | 13.2 | 12.4 | 15.2 | 0.31 |
| Physically active (%) (active) | 31.4 | 26.0 | 26.7 | 0.01 | 34.3 | 29.7 | 19.7 | <0.001 |
| Overweight/Obesed (%) | 47.2 | 48.6 | 48.0 | 0.81 | 18.0 | 46.9 | 79.0 | <0.001 |
General characteristics of study participants across tertiles of ABSI and BRI (n = 3,213)a.
All values are means ± standard deviation (SD), unless indicated.
Obtained from ANOVA for continuous variables and chi-square test for categorical variables.
Anti-psychotic medications included the intake of nortriptyline, amitriptyline or imipramine, fluoxetine, citalopram, fluvoxamine and sertraline.
BMI ≥ 25 kg/m2.
The overall prevalence of anxiety, depression, and psychological distress was 14, 29, and 23.5%, respectively. Figure 1 illustrates the prevalence of anxiety, depression, and psychological distress across tertiles of ABSI and BRI. Individuals in the top category of ABSI, in comparison to the reference category, had a higher prevalence of anxiety (15.9% vs. 12.1%; P = 0.05) and distress (25.6% vs. 21.8%; P = 0.02). However, there were no significant differences in the prevalence of depression across tertiles of ABSI (P = 0.49). Furthermore, subjects in the last tertile of BRI had a higher prevalence of anxiety (17.9% vs. 10.7%; P < 0.001), depression (34.4% vs. 25.1%; P < 0.001), and distress (26.7% vs. 22.2%; P = 0.01) compared to the first tertile.
Figure 1
The prevalence of anxiety, depression and distress in study participants across tertiles of (A) ABSI, and (B) BRI.
Pearson correlation coefficients between anthropometric indices of study participants are reported in Table 2. ABSI had a modest correlation with WC (r = 0.58) and BRI (r = 0.35). However, weak correlations were found between ABSI and height, weight, or BMI (|r| ≤ 0.20). Furthermore, BRI showed a relatively high correlation with WC (r = 0.72) and BMI (r = 0.74); besides a modest correlation with height (|r| = 0.57) and weight (r = 0.32).
Table 2
| Height | Weight | WC | BMI | ABSI | BRI | |
|---|---|---|---|---|---|---|
| Height | 1 | |||||
| Weight | 0.36 | 1 | ||||
| WC | 0.08 | 0.67 | 1 | |||
| BMI | −0.26 | 0.77 | 0.61 | 1 | ||
| ABSI | 0.09 | −0.12 | 0.58 | −0.20 | 1 | |
| BRI | −0.57 | 0.32 | 0.72 | 0.74 | 0.35 | 1 |
Pearson correlation coefficients between anthropometric indices of study participantsa.
WC, Waist Circumference; BMI, Body Mass Index; ABSI, A Body Shape Index; BRI, Body Roundness Index.
Correlation coefficients between height, weight, BMI, WC, ABSI and BRI among 3,213 adults, adjusted for age and sex (all P-values were < 0.001).
Table 3 indicates the differences of ABSI and BRI values among individuals with and without anxiety, depression, and psychological distress. Individuals suffering from anxiety and distress had significantly higher ABSI values than healthy subjects. However, no significant difference was observed between depressed and non-depressed participants (P = 0.20). Furthermore, higher mean value of BRI was observed among individuals with anxiety (P < 0.001), depression (P < 0.001), and distress (P = 0.003).
Table 3
| Anxiety | Depression | Distress | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Yes | No | P | Yes | No | P | Yes | No | P | |
| ABSI (m11/6kg−2/3) | 0.0806 ± 0.0071 | 0.0796 ± 0.0069 | 0.006 | 0.0800 ± 0.0071 | 0.0797 ± 0.0069 | 0.20 | 0.0803 ± 0.0071 | 0.0796 ± 0.0069 | 0.01 |
| BRI | 4.97 ± 1.19 | 4.72 ± 1.01 | <0.001 | 4.88 ± 1.10 | 4.70 ± 1.02 | <0.001 | 4.85 ± 1.11 | 4.72 ± 1.02 | 0.003 |
ABSI and BRI values of the study participants, based on their psychological health statusa.
All values are means ± standard deviation (SD) obtained from independent Samples T-test.
Crude and multivariable-adjusted odds ratios for anxiety, depression, and psychological distress across tertiles of ABSI and BRI are presented in Table 4. In the crude model, participants in the last tertile of ABSI, compared to the first one, were more likely to have anxiety (OR: 1.37; 95%CI: 1.07, 1.75) and high psychological distress (OR: 1.30; 95%CI: 1.06, 1.59). However, no significant association was observed between ABSI and odds of depression (OR: 1.11; 95%CI: 0.92, 1.34) in the crude model. After considering age, sex, marital status, diabetes, smoking, physical activity and anti-psychotic medications as the potential confounders, ABSI was significantly associated with odds of anxiety (OR for T3 vs. T1: 1.41; 95%CI: 1.04, 1.93) and psychological distress (OR for T3 vs. T1: 1.39; 95%CI: 1.09, 1.79). Furthermore, a marginal significant relation was observed between ABSI and the possibility of being depressed in the multivariable-adjusted model (OR for T3 vs. T1: 1.27; 95%CI: 1.00, 1.61). In the crude model, participants in the top tertile of BRI, compared to the bottom, had 81%, 56%, and 28% higher odds of anxiety (95%CI: 1.41, 2.32), depression (95%CI: 1.30, 1.88), and high psychological distress (95%CI: 1.04, 1.56), respectively. However, after considering potential confounders, results were attenuated and no significant relation was found. A significant trend was observed for all mental disorders across tertiles of ABSI, but not for BRI, in the adjusted model. In all observed associations, sex, physical activity and use of anti-psychotic medications had the most confounding effects. In addition, smoking status had a high confounding effect for the association between ABSI, BRI and depression. After excluding individuals using anti-psychotic medications (n = 84), a significant association between ABSI and odds of depression was observed (OR: 1.30; 95%CI: 1.02, 1.67), and other findings did not alter (Supplementary Table 1).
Table 4
| Tertiles of ABSI | Tertiles of BRI | |||||||
|---|---|---|---|---|---|---|---|---|
| T1 | T2 | T3 | Ptrend | T1 | T2 | T3 | Ptrend | |
| Anxiety | ||||||||
| Participants/Cases (n) | 1,071/130 | 1,071/149 | 1,071/170 | 1,071/115 | 1,072/143 | 1,070/191 | ||
| Crude | 1.00 | 1.17 (0.91–1.51) | 1.37 (1.07–1.75) | 0.01 | 1.00 | 1.28 (0.99–1.66) | 1.81 (1.41–2.32) | <0.001 |
| Adjusted† | 1.00 | 1.30 (0.95–1.76) | 1.41 (1.04–1.93) | 0.03 | 1.00 | 1.06 (0.77–1.46) | 1.20 (0.86–1.67) | 0.27 |
| Depression | ||||||||
| Participants/Cases (n) | 1,071/302 | 1,071/305 | 1,071/325 | 1,071/269 | 1,072/295 | 1,072/368 | ||
| Crude | 1.00 | 1.01 (0.84–1.22) | 1.11 (0.92–1.34) | 0.27 | 1.00 | 1.13 (0.93–1.37) | 1.56 (1.30–1.88) | <0.001 |
| Adjusted† | 1.00 | 1.20 (0.95–1.51) | 1.27 (1.00–1.61) | 0.05 | 1.00 | 1.05 (0.83–1.34) | 1.22 (0.95–1.57) | 0.12 |
| Distress | ||||||||
| Participants/Cases (n) | 1,048/228 | 1,056/235 | 1,044/277 | 1,048/233 | 1,052/227 | 1,048/280 | ||
| Crude | 1.00 | 1.03 (0.84–1.27) | 1.30 (1.06–1.59) | 0.01 | 1.00 | 0.96 (0.78–1.18) | 1.28 (1.04–1.56) | 0.02 |
| Adjusted† | 1.00 | 1.09 (0.85–1.40) | 1.39 (1.09–1.79) | 0.01 | 1.00 | 0.82 (0.64–1.06) | 0.94 (0.72–1.23) | 0.68 |
Multivariable- adjusted odds ratio for anxiety, depression, and distress across tertiles of ABSI and BRI (n = 3,213)a.
All values are odds ratios and 95% confidence intervals.
Adjusted-model: Adjusted for age, sex, marital status, diabetes, smoking, physical activity, anti-psychotic medications.
Table 5 reports multivariable-adjusted odds ratios across different categories of ABSI, stratified by sex. After adjusting potential confounders, females in the last tertile of ABSI had an increased odds of anxiety (OR: 1.58; 95%CI; 1.12, 2.22), depression (OR: 1.40; 95%CI; 1.07, 1.84), and psychological distress (OR: 1.51; 95%CI; 1.13, 2.01), compared to the reference tertile. However, there were no significant relations between ABSI and anxiety, depression, and psychological distress among males in the crude and adjusted models. Sex-stratified analysis showed no significant relation between BRI and the outcomes (data not shown).
Table 5
| Men (n=1,196) | Women (n=2,017) | |||||||
|---|---|---|---|---|---|---|---|---|
| Tertiles of ABSI | Tertiles of ABSI | |||||||
| T1 | T2 | T3 | Ptrend | T1 | T2 | T3 | Ptrend | |
| Anxiety | ||||||||
| Participants/Cases (n) | 269/21 | 448/37 | 479/41 | 802/109 | 623/112 | 592/129 | ||
| Crude | 1.00 | 1.06 (0.61–1.86) | 1.11 (0.64–1.91) | 0.72 | 1.00 | 1.39 (1.05–1.86) | 1.77 (1.34–2.35) | <0.001 |
| Adjusted† | 1.00 | 0.90 (0.45–1.80) | 0.80 (0.39–1.66) | 0.55 | 1.00 | 1.35 (0.96–1.90) | 1.58 (1.12–2.22) | 0.01 |
| Depression | ||||||||
| Participants/Cases (n) | 269/58 | 448/92 | 479/96 | 802/244 | 623/213 | 592/229 | ||
| Crude | 1.00 | 0.94 (0.65–1.36) | 0.91 (0.63–1.32) | 0.63 | 1.00 | 1.19 (0.95–1.49) | 1.44 (1.15–1.80) | 0.001 |
| Adjusted† | 1.00 | 1.07 (0.66–1.72) | 0.97 (0.59–1.57) | 0.82 | 1.00 | 1.21 (0.92–1.57) | 1.40 (1.07–1.84) | 0.02 |
| Distress | ||||||||
| Participants/Cases (n) | 259/38 | 437/72 | 462/88 | 789/190 | 619/163 | 582/189 | ||
| Crude | 1.00 | 1.15 (0.75–1.76) | 1.37 (0.90–2.07) | 0.12 | 1.00 | 1.13 (0.89–1.44) | 1.52 (1.20–1.92) | 0.001 |
| Adjusted† | 1.00 | 0.97 (0.58–1.64) | 1.07 (0.63–1.82) | 0.74 | 1.00 | 1.09 (0.82–1.45) | 1.51 (1.13–2.01) | 0.01 |
Multivariable- adjusted odds ratio for anxiety, depression and distress across tertiles of ABSI, stratified by sexa.
All values are odds ratios and 95% confidence intervals.
Adjusted-model: Adjusted for age, marital status, diabetes, smoking, physical activity, anti-psychotic medications.
Crude and multivariable-adjusted regression coefficients are provided in Table 6. When we considered the exposures (ABSI and BRI) and outcomes (psychological disorders) as the continuous variables, both ABSI and BRI positively predicted anxiety, depression and psychological distress, in the crude model. After adjusting all potential confounders, ABSI was a positive predictor for anxiety (beta coefficient = 0.05, P = 0.01), depression (beta coefficient = 0.04, P = 0.04) and distress (beta coefficient = 0.05, P = 0.02). However, BRI did not significantly predict psychological disorders except for anxiety score (beta coefficient = 0.07, P = 0.003).
Table 6
| ABSI× 100 | BRI | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| βa | Bb | P | SEc | R-squared | VIFd | βa | B | P | SE | R-squared | VIF | |
| Anxiety score | ||||||||||||
| Crude | 0.04 | 0.23 | 0.01 | 0.09 | 0.002 | 1.00 | 0.12 | 0.44 | <0.001 | 0.06 | 0.02 | 1.00 |
| Adjusted† | 0.05 | 0.29 | 0.01 | 0.11 | 0.09 | 1.05 | 0.07 | 0.24 | 0.003 | 0.08 | 0.09 | 1.23 |
| Depression score | ||||||||||||
| Crude | 0.03 | 0.12 | 0.15 | 0.09 | 0.001 | 1.00 | 0.10 | 0.33 | <0.001 | 0.06 | 0.01 | 1.00 |
| Adjusted† | 0.04 | 0.21 | 0.04 | 0.10 | 0.09 | 1.05 | 0.03 | 0.10 | 0.16 | 0.07 | 0.09 | 1.23 |
| Distress score | ||||||||||||
| Crude | 0.04 | 0.16 | 0.02 | 0.07 | 0.002 | 1.00 | 0.07 | 0.17 | <0.001 | 0.05 | 0.004 | 1.00 |
| Adjusted† | 0.05 | 0.21 | 0.02 | 0.09 | 0.06 | 1.05 | 0.02 | 0.06 | 0.33 | 0.06 | 0.06 | 1.23 |
Linear association of ABSI and BRI with anxiety, depression and distress scores.
Values are standardized regression coefficients.
Values are unstandardized regression coefficients.
Standard error of the unstandardized regression coefficient.
Variance Inflation Factor that measures the amount of multi-collinearity.
Adjusted-model: Adjusted for age, gender, marital status, diabetes, smoking, physical activity, and anti-psychotic medications.
Discussion
In the present cross-sectional investigation among Iranian adults, we observed significant positive associations between ABSI and anxiety, depression, and psychological distress. Such associations were independent of the considered confounders. Sex-stratified analysis revealed significant direct relation between ABSI and the mentioned psychological disorders in females, but not in males. Our study did not support a significant independent relation between BRI and anxiety, depression, and psychological distress after controlling potential confounders. Furthermore, we found that ABSI could positively predict anxiety, depression and distress. BRI could be a positive predictor for anxiety, but not depression and distress. As far as we know, this is the first study exploring the relationship between two novel anthropometric indices (ABSI and BRI) and anxiety, depression, and psychological distress in a large population of Iranian adults.
The global prevalence of psychological disorders and obesity has sharply increased (32). These two conditions have been found to be tightly interrelated (33) and contribute to sleep disorders, the occurrence of chronic diseases, and poor quality of life (11). We observed that ABSI was positively associated with common psychological disorders. Therefore, our findings could provide insights for future randomized controlled trials to address whether reducing ABSI would result in improved mental health. Interventions aiming at either increasing physical activity or reducing calorie intake could potentially decrease ABSI.
We found a direct relation between ABSI and anxiety, depression, and psychological distress. Conversely, we failed to find any significant association between BRI and these outcomes. To the best of our knowledge, only one cross-sectional study has previously examined ABSI in relation to anxiety and depression (34). In the study by Hadi et al. (34), 307 overweight and obese Iranian adults (249 women and 58 men) were enrolled. This study found no significant association between ABSI and anxiety and depression. Several points could explain the discrepancies between our findings and those reported by the mentioned investigation. First, our study sample size was larger, and therefore, the current study has more power to detect the relations. Second, the study by Hadi et al. (34) was conducted among overweight and obese individuals, whereas our investigation included normal- and under-weight subjects, as well. Third, the previous study (34) controlled for the confounding effects of age and sex; however, we considered various other potential confounders in our analysis. Given the lack of evidence regarding the relation between ABSI/BRI and common psychological disorders in other populations, further well-designed studies, especially prospective cohorts, are required among different societies.
Our investigation found a significant positive association between ABSI and anxiety, depression, and psychological distress among females, but not in males. Fewer male participants and, therefore, fewer cases might be a possible reason for the observed insignificant associations. Furthermore, the brain system in women is more sensitive to hormonal fluctuations than in men, which could consequently mediate depressive states (35). Also, women are more vulnerable to depression due to some psychosocial events, including gender-specific socialization, disadvantaged social status, victimization, and internalization coping style (35). We found inverse associations between ABSI and odds of anxiety and depression in men, although the results were not statistically significant. Compared to women, men have more muscle mass, and a previous study has demonstrated a negative association between muscle mass and depressive symptoms (36). However, more researches are needed to elucidate the association between muscle mass and mental health. Furthermore, the “jolly fat” hypothesis might explain the inverse associations in men. In brief, the “jolly fat” hypothesizes that obese men are less likely to have depression or anxiety, possibly due to some nutrients more consumed by obese than non-obese adults (37).
We observed significant positive associations between BRI and anxiety, depression and psychological distress. However, our findings were dependent of age, sex, marital status, history of diabetes, smoking, physical activity levels and use of anti-psychotic medications. Previous studies documented that gender could be a potential determinant for mental disorders; females suffer from depression and anxiety more than males (38, 39). Furthermore, some studies revealed that married individuals were less likely to be depressed (40, 41). Prior studies showed positive relations between having diabetes (42, 43), smoking (44), and low physical activity (45) and risk of anxiety and depression. Therefore, the above-mentioned associations show that various lifestyle and demographic factors might be related to anxiety and depression. This could elucidate the insignificant association between BRI and the outcomes of interest in the adjusted models in the present study.
The positive association between ABSI and common psychological disorders in our study could be clarified through some mechanisms. Obesity and central fatness could induce a low-grade systemic inflammation by increasing plasma levels of inflammatory cytokines (46). Elevated levels of inflammatory cytokines might, in turn, exacerbate depression and anxiety status (47). Furthermore, obesity might lead to hypothalamic-pituitary-adrenal axis (HPA-axis) dysregulation (48, 49). Dysregulation of the HPA-axis has been known to be involved in depression (50). Diabetes and insulin resistance, as consequences of obesity, could involve brain alterations and, in turn, increase mental disorders (51, 52). Along with biological mechanisms, sociocultural factors are also important. In societies that being thin is defined as a beauty ideal and is more socially accepted, overweight and obese individuals have more body dissatisfaction and lower self-esteem, which are risk factors for depression (53).
There are several strengths attributed to the present study. This is the first study that evaluated ABSI and BRI in relation to common psychological disorders including anxiety, depression, and psychological distress in a large sample size of Iranian adults. Validated questionnaires were applied to assess mental health status. Furthermore, we explored the associations in both genders separately. Finally, several potential confounders were taken into account in the analyses to find more independent associations of ABSI and BRI with mental disorders. Despite the above-mentioned strengths, our study has some considerable limitations. First, causal relationships would not be conferred due to the cross-sectional design of the study. Previous literature has strongly suggested a bidirectional relation between obesity and depression (54). Therefore, prospective studies are required to examine the causal relation between ABSI/BRI and common psychological disorders. Second, self-reported anthropometric values have been demonstrated to be less accurate than those obtained by actual measurement (55), although we have previously reported the validity of data provided by self-reported measurements (26). Third, despite considering several covariates in our analyses, some residual confounders might still affect the results. Fourth, we were not able to examine ABSI and BRI against gold-standard tools due to their unavailability. Finally, the population of this study is from the non-academic staff of a medical university, and therefore, findings should be cautiously extrapolated to the general population. As we know, there was no similar study in other nations, therefore, more studies on different countries and populations are warranted.
In conclusion, higher value of ABSI was related to increased odds of anxiety, depression and psychological distress, especially in females. However, there was no association between BRI and anxiety, depression and psychological distress. Also, ABSI was found to be a positive predictor of anxiety, depression and distress. Our results highlighted individuals with visceral adiposity might also suffer from anxiety, depression and distress. Therefore, clinicians should monitor mental health status of overweight/obese patients. This monitoring could lead to prevention or early diagnosis of mental disorders and could subsequently reduce the burden of both conditions. In terms of public health application, ABSI could be a reliable value for developing screening and preventing strategies for abdominal obesity and mental health. Due to the bidirectional relation between adiposity and psychological disorders, prospective cohort studies are worthwhile to affirm the causal relation.
Funding
This research was supported by Tehran University of Medical Sciences, Tehran, Iran (no. 52283).
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author/s.
Ethics statement
The studies involving human participants were reviewed and approved by Medical Research Ethics Committee of Isfahan University of Medical Sciences, Isfahan, Iran. The patients/participants provided their written informed consent to participate in this study.
Author contributions
KL, AH, PS, HA, AE, and PA contributed to conception, design, statistical analyses, data interpretation, and manuscript drafting. AE supervised the study. All authors approved the final manuscript for submission.
Acknowledgments
The financial support for this study comes from Tehran University of Medical Sciences, Tehran, Iran (no. 52283). The authors would like to thank authorities of Tehran University of Medical Sciences for financial support of the study. Tehran University of Medical Sciences had no role in the design/conduct of the study, collection/analysis/interpretation of the data, and preparation/review/approval of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2022.843155/full#supplementary-material
- ABSI
A body Shape Index
- BMI
Body Mass Index
- BRI
Body Roundness Index
- CVD
Cardiovascular Disease
- GHQ
General Health Questionnaire
- HADS
Hospital Anxiety and Depression Scale
- HPA-axis
Hypothalamic-pituitary-adrenal axis
- SEPAHAN
Studying the Epidemiology of Psycho-Alimentary Health and Nutrition
- SD
Standard deviation
- WC
Waist Circumference
- WHR
Waist-hip Ratio.
Abbreviations
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Summary
Keywords
A Body Shape Index, Body Roundness Index, psychological distress, depression, anxiety, psychological disorders
Citation
Lotfi K, Hassanzadeh Keshteli A, Saneei P, Afshar H, Esmaillzadeh A and Adibi P (2022) A Body Shape Index and Body Roundness Index in Relation to Anxiety, Depression, and Psychological Distress in Adults. Front. Nutr. 9:843155. doi: 10.3389/fnut.2022.843155
Received
24 December 2021
Accepted
30 March 2022
Published
25 April 2022
Volume
9 - 2022
Edited by
Shirley Telles, Patanjali Research Foundation, India
Reviewed by
Aryati Ahmad, Sultan Zainal Abidin University, Malaysia; Mehdi Sadeghian, Ahvaz Jundishapur University of Medical Sciences, Iran
Updates
Copyright
© 2022 Lotfi, Hassanzadeh Keshteli, Saneei, Afshar, Esmaillzadeh and Adibi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ahmad Esmaillzadeh a-esmaillzadeh@tums.ac.irParvane Saneei saneeip@yahoo.com; saneei@nutr.mui.ac.ir
This article was submitted to Nutritional Epidemiology, a section of the journal Frontiers in Nutrition
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.