Depression and obesity among females, are sex specificities considered?

Baldini, Ingrid; Casagrande, Breno Picin; Estadella, Débora

doi:10.1007/s00737-021-01123-6

Cited by 14 publications

(11 citation statements)

References 175 publications

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“…Although the biological mechanism underlying the sex-specific relationship between obesity and depression remains unknown, there are several possible explanations. One hypothesis is that obesity may impair progesterone and estrogen function and affect menstrual cycles and hormonal levels, which could influence the protective effect of female hormones on depression, mitochondrial function, and obesity ( 41 ). Furthermore, obesity is associated with different psychosocial profiles, and the association between obesity and depression is partly mediated by body-image satisfaction ( 42 ).…”

Section: Discussionmentioning

confidence: 99%

The Relationship Between Obesity and Depression Is Partly Dependent on Metabolic Health Status: A Nationwide Inpatient Sample Database Study

Wang

Cheng

et al. 2022

Front. Endocrinol.

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ObjectiveSome studies have demonstrated a bidirectional association between obesity and depression, whereas others have not. This discordance might be due to the metabolic health status. We aimed to determine whether the relationship between obesity and depression is dependent on metabolic health status.MethodsIn total, 9,022,089 participants were enrolled and classified as one of four obesity phenotypes: metabolically healthy nonobesity (MHNO), metabolically unhealthy nonobesity (MUNO), metabolically healthy obesity (MHO), and metabolically unhealthy obesity (MUO). We then divided the population into eight phenotypes based on obesity and the number of metabolic risk factors. Furthermore, the associations of eight phenotypes, based on obesity and specific metabolic risk factors, with depression were assessed.ResultAmong all participants, a higher risk of depression was observed for MUNO, MHO and MUO than for MHNO. The risk was highest for MUO (OR = 1.442; 95% CI = 1.432, 1.451). However, the association between MHO and depression was different for men and women (OR = 0.941, men; OR = 1.132, women). The risk of depression increased as the number of metabolic risk factors increased. Dyslipidemia was the strongest metabolic risk factor. These relationships were consistent among patients ≥ 45 years of age.ConclusionsThe increased risk of obesity-related depression appears to partly depend on metabolic health status. The results highlight the importance of a favorable metabolic status, and even nonobese populations should be screened for metabolic disorders.

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Section: Discussionmentioning

confidence: 99%

The Relationship Between Obesity and Depression Is Partly Dependent on Metabolic Health Status: A Nationwide Inpatient Sample Database Study

Wang

Cheng

et al. 2022

Front. Endocrinol.

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“…Some previous studies suggest this mental issue is more common among people with obesity, particularly women, but in contrast, there is some evidence linking obesity with lower levels of depressive symptoms. 4,5 Many studies looking for the correlation between both characteristics have used the body mass index (BMI) as a prognostic index of fat accumulation; however, it is known that it has some limitations for indicating how it is distributed throughout the body. 6 Therefore, some researchers consider other indicators of obesity, particularly abdominal circumference (AC), to be better indicators of many diseases, including depression.…”

Section: Introductionmentioning

confidence: 99%

Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey

et al. 2023

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Background: The association between obesity and depression has been frequently reported. However, it still remains unclear which anthropometric indicators for obesity could be the best measure to explain its linkage with depressive symptoms. Methods: This is a cross-sectional analytical study. Secondary data was analyzed using information from the Demographic and Health Survey of Peru (ENDES in Spanish). Data from the years 2018 to 2021 were reviewed. The outcome of interest was the presence of depressive symptoms, assessed with the Patient Health Questionnaire-9 (PHQ-9). The exposure variable was the presence of obesity, which was evaluated by body mass index (BMI) and abdominal circumference. Crude and adjusted odds ratios (cOR and aOR) were calculated using logistic regression. Both prevalence and association measures were presented with 95% confidence intervals (95% CI). Results: A total of 141,134 subjects were included in the study. Depression was present in 2.51% (95% CI 2.38–2.65). Obesity according to BMI was present in 25.42% (95% CI 24.97–25.88), while abdominal obesity was shown in 41.67% (95% CI 41.19–42.15). In the multivariate analysis, a statistically significant association was found in regard to symptoms of depression in patients with abdominal obesity (aOR: 1.13; 95% CI 1.03–1.24), while no association was found with obesity according to BMI. Conclusions: Abdominal circumference could be a better anthropometric measure than BMI to evaluate the association between obesity and depressive symptoms in the Peruvian population.

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“…Obesity increases the risk of type 2 diabetes, some cancers, and cardiovascular disease (CVD), shortening both total life expectancy and healthy life expectancy [2,3]. Obesity is also strongly associated with depression; this relationship is bi-directional and appears to be stronger in women than men [4,5]. Obesity is not only a health issue but also a social one; there is inverse socio-economic disparity in obesity distribution, which is especially pronounced amongst women [6].…”

Section: Introductionmentioning

confidence: 99%

‘Shape-Up’, a Modified Cognitive-Behavioural Community Programme for Weight Management: Real-World Evaluation as an Approach for Delivering Public Health Goals

et al. 2021

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Obesity is widespread, with serious health consequences; addressing it requires considerable effort at a public health level, incorporating prevention and management along with policies to support implementation. Behavioural weight-management programmes are widely used by public health bodies to address overweight and obesity. Shape-Up is an evidence-based programme combining a structured behavioural intervention (targeting nutrition and physical activity behaviours) within a peer-learning framework. This study was a service-evaluation of Shape-Up, as delivered in Rotherham by a local leisure provider, and included a secondary analysis of data collected in the community by service providers. The RE-AIM (Reach Effectiveness Adoption Implementation Maintenance) framework was used to explore programme effectiveness, implementation, and whom it reached. A total of 141 participants were included. Compared to local demographics, participants were older, at 48.9 (SD 14.47) years, with a lower employment rate (41% employed) and greater proportion female (67% female). Mean BMI was 38.0 (SD 7.54) kg/m2. Mean weight-change between baseline and endpoint (12 weeks, 10 group sessions) was −4.4 (SD 3.38) kg, and degree of weight change was associated with session attendance (F (9, 131) = 6.356, p < 0.0005). There were positive effects on participants’ weight, health-related behaviours, and quality of life. The intervention content (including the focus of nutritional recommendations) and structure were adapted during implementation to better suit national guidelines and local population needs. RE-AIM was found to be a useful framework for evaluating and adapting an existing evidence-based weight management programme in line with local population needs. This could be a more cost-effective approach, compared to developing new programmes, for delivering public health goals relating to obesity, nutrition, and physical activity.

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Depression and obesity among females, are sex specificities considered?

Cited by 14 publications

References 175 publications

The Relationship Between Obesity and Depression Is Partly Dependent on Metabolic Health Status: A Nationwide Inpatient Sample Database Study

The Relationship Between Obesity and Depression Is Partly Dependent on Metabolic Health Status: A Nationwide Inpatient Sample Database Study

Anthropometric indicators for obesity and its relationship with depressive symptoms: analysis of a Peruvian national survey

‘Shape-Up’, a Modified Cognitive-Behavioural Community Programme for Weight Management: Real-World Evaluation as an Approach for Delivering Public Health Goals

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