Association between obesity and depressive symptoms in Mexican population

Zavala, Gerardo; Kolovos, Spyros; Chiarotto, Alessandro; Bosmans, Judith E.; Ponce, Maiza Campos; Rosado, Jorge L.; Garcı́a, Olga

doi:10.1007/s00127-018-1517-y

Cited by 28 publications

(24 citation statements)

References 43 publications

(46 reference statements)

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“…The only difference was that WC was associated with sleep duration but BMI was not. This may be an indication that the association between obesity and lifestyle factors is influenced by the measure used to operationalize obesity, which has been reported before in similar studies [5].…”

Section: Discussionsupporting

confidence: 66%

Association of sleep, screen time and physical activity with overweight and obesity in Mexico

et al. 2019

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Purpose Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico. Methods We used publicly available data from the ENSANUT 2016 survey (n = 6419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (> 30 min/day-yes vs. no) and walking (> 60 min/day-yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses. Results Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60 h/day (95% CI 0.36-0.84, p = 0.001) and participants in the obese III category 0.54 h/day (95% CI 0.19-0.89, p < 0.001) more in front of any screen; participants in the obese II category reported 0.55 h/day less sleep (95% CI − 0.67 to − 0.43, p < 0.001); participants in the obese III category were less likely to engage in vigorous activity (OR = 0.60, 95% CI 0.43-0.84, p ≤ 0.003), or walking (OR = 0.65, 95% CI 0.49-0.88, p = 0.005). Conclusion Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate/vigorous physical activity. Level of evidence Level III: observational case-control analytic study.

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Section: Discussionsupporting

confidence: 66%

Association of sleep, screen time and physical activity with overweight and obesity in Mexico

et al. 2019

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“…We conducted a sensitivity analysis in which a cut-off score of ≥9 in CESD-SF was used to categorize participants as having at least mild depressive symptoms. We performed this analysis to examine whether considering a more conservative threshold to detect depression influences our conclusions, because a cut-off score larger than 8 had been previously used, and had been related to higher than expected depression prevalence (16%) in Mexico (Gerardo A Zavala et al 2018b). As a second sensitivity analysis, we performed a analysis of covariance (ANCOVA) including depression score as the dependent variable and household food insecurity categories as the factor adjusting by gender, age, SES, area, hypertension, diabetes, having a partner, and BMI.…”

Section: Sensitivity Analysesmentioning

confidence: 99%

“…of disability in the country (Charlson et al 2015). Depression often occurs in conjunction with other debilitating conditions, such as, type II diabetes, cardiovascular disease and obesity (Kupfer and Frank 2003;G. A. Zavala et al 2018a;Mendenhall et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Household food insecurity is associated with depressive symptoms: results from a Mexican population-based survey

et al. 2020

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The objective of this cross-sectional study was to assess the relationship between food insecurity and depression in the Mexican population. We used data from the 2012 health and nutrition survey (ENSANUT), which is representative of the Mexican population. Food insecurity was determined by the Latin American and Caribbean Food Security Scale (ELCSA). Depressive symptoms were evaluated using the Center for Epidemiological Studies Depression Scale Short-Form (CES-D-SF). Adjusted logistic regression analyses and ANCOVA were used. Out of 33,011 participants, 5788 (18%) had high depressive symptoms and 24,098 (73%) experienced food insecurity. The adjusted logistic regression analysis showed that, participants with mild food insecurity, (OR = 1.47,95% CI = 1.27 to 1.71), moderate food insecurity (OR = 2.14,95% CI = 1.85 to 2.47) and severe food insecurity (OR = 3.01,95% CI = 2.51 to 3.60,) were more likely to have high depressive symptoms than food secure participants. Participants with moderate food insecurity (OR =1.45, 95% CI = 1.28 to 1.64) and severe food insecurity (OR =2.04, 95% CI = 1.76 to 2.37) were more likely to suffer from depression as compared to participants with mild food insecurity. Participants with severe food insecurity were more likely (OR=1.41, 95% CI = 1.21 to 1.65) to suffer from depression compared to participants with moderate food insecurity. This paper provides an overview of the complex problem of food insecurity and mental health. Despite the unknown causality, the analysis suggests a strong association between depression and food insecurity. This problem calls for much more attention from the scientific community. Given the high prevalence of depression and the high prevalence of household food insecurity in Mexico, the implementation of successful public health programs to improve food security is necessary.

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“…Accordingly, another longitudinal survey suggested that obesity was not a predictor of depression in Canadian women (12), and the same results have been observed among Mexican men (14). Also, the lack of relationship between MetS and depression was already published among the Turkish population (18).…”

Section: Discussionmentioning

confidence: 52%

“…Obese individuals are believed to be more depressed and anxious, which is supported by a large body of evidence (10,11), although, some studies did not con rm this relationship (12)(13)(14), and even others have established the "jolly fat" theory, which emphasizes an adverse association between obesity and mental health issues, including depression and anxiety (15,16). In terms of MetS, similar con icting results have been published of mentioned emotional states in relation to unfavorable metabolic pro le (17)(18)(19)(20).…”

Section: Introductionmentioning

confidence: 98%

Emotional states of different obesity phenotypes: A sex-specific results in a west-Asian population

Mehrabi

Amiri

Cheraghi

et al. 2020

Preprint

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Background The present study aimed to investigate the relationship of obesity phenotypes with depression, anxiety, and stress of the adult participants in Tehran Lipid and Glucose Study (TLGS). Methods Depression, anxiety, and stress levels of 2469 adult participants aged > 19 (1158 men and 1311 women) from Tehran Lipid and Glucose Study were examined among different obesity phenotypes in the current study. Weight, height, and waist circumferences of participants were measured by trained personnel. Obesity was defined as BMI ≥ 30 kg/m², and metabolically unhealthy status based on having metabolic syndrome (MetS) or diabetes type 2. Finally, four obesity phenotypes were defined: 1) Metabolically Healthy Non-Obese (MHNO), 2) Metabolically Healthy Obese (MHO) 3) Metabolically Unhealthy Non-Obese (MUNO), and 4) Metabolically Unhealthy Obese (MUO). Ordinal logistic regression analysis was used to compare sex-specific odds ratios. Results The mean age of 2469 men and women was 46.2 ± 15.9 and 45.6 ± 14.7, respectively. In total, women were more likely to experience different levels of depression (30.5%), anxiety (44.2%), and stress (43.5%). After adjusting for potential confounders, the odds of experiencing higher levels of anxiety were significantly greater in metabolically unhealthy men whether they were obese (OR: 1.78, 95% CI: 1.25–2.54; P = < 0.001) or non-obese (OR: 1.61, 95% CI: 1.17–2.21; P = < 0.001), and also in MUO women (OR: 1.73, 95% CI: 1.28–2.34; P = < 0.001) comparing to their MHNO counterparts. Moreover, the odds of experiencing higher levels of stress were significantly greater in MUNO men (OR: 1.40, 95% CI: 1.02–1.90; P = 0.04), and in MUO women (OR: 1.45, 95% CI: 1.07–1.96; P = 0.02) comparing to their MHNO counterparts. No difference in having higher levels of depression was observed in both genders. Conclusions Compared to MHNO individuals, MUO women and all metabolically unhealthy men reported higher levels of anxiety and stress. The obesity phenotypes were by no means associated with depression in men and women.

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Association between obesity and depressive symptoms in Mexican population

Cited by 28 publications

References 43 publications

Association of sleep, screen time and physical activity with overweight and obesity in Mexico

Association of sleep, screen time and physical activity with overweight and obesity in Mexico

Household food insecurity is associated with depressive symptoms: results from a Mexican population-based survey

Emotional states of different obesity phenotypes: A sex-specific results in a west-Asian population

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