Increased Prevalence of Depression and Anxiety Among Subjects With Metabolic Syndrome in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Berto, Laura F; Suemoto, Cláudia Kimie; Moreno, Arlinda B.; Fonseca, Maria de Jesus Mendes da; Nunes, Maria Angélica; Molina, María del Carmen Bisi; Barreto, Sandhi Maria; Diniz, Maria de Fátima Haueisen Sander; Lotufo, Paulo A; Brunoni, André R.

doi:10.1016/j.jaclp.2022.06.001

Cited by 3 publications

(5 citation statements)

References 54 publications

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“…Social factors such as weight stigma, limits to health care access, and low socioeconomic status are also risk factors in the relationship between metabolic conditions and depression and anxiety [ 12 , 13 ]. Those with depression and anxiety have higher rates of metabolic conditions [ 14 , 15 ] and vice versa [ [16] , [17] , [18] ]. Multiple interrelated factors have been proposed to underpin the link between these mood disorders and metabolic conditions, including chronic, low-grade systemic inflammation and oxidative stress [ 19 ], which are exacerbated by both poor dietary habits and physical inactivity [ [20] , [21] , [22] , [23] , [24] , [25] ].…”

Section: Introductionmentioning

confidence: 99%

Diet Overall and Hypocaloric Diets Are Associated With Improvements in Depression but Not Anxiety in People With Metabolic Conditions: A Systematic Review and Meta-Analysis

Paris,

Daly,

Abbott

et al. 2024

Advances in Nutrition

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Section: Introductionmentioning

confidence: 99%

Diet Overall and Hypocaloric Diets Are Associated With Improvements in Depression but Not Anxiety in People With Metabolic Conditions: A Systematic Review and Meta-Analysis

Paris,

Daly,

Abbott

et al. 2024

Advances in Nutrition

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“…In the case of women, an increased likelihood of facing significant risks related to cardiovascular diseases and sleep problems has been observed, especially for those in the postmenopausal stage, which, in turn, can contribute to the development of risks associated with MetS [73]. Additionally, they highlighted factors related to anxiety (TRAIT_ANX), despite the association between MetS and anxiety remaining a subject of debate due to various issues [74], this study, like some others [75][76][77][78], identified anxiety as one of the critical factors that predisposing women to MetS.…”

Section: Use Of Machine Learning With Synthetic Datamentioning

confidence: 81%

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

Gutiérrez-Esparza,

Martinez-Garcia,

Ramírez-delReal

et al. 2024

Nutrients

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This study investigated the relationship between Metabolic Syndrome (MetS), sleep disorders, the consumption of some nutrients, and social development factors, focusing on gender differences in an unbalanced dataset from a Mexico City cohort. We used data balancing techniques like SMOTE and ADASYN after employing machine learning models like random forest and RPART to predict MetS. Random forest excelled, achieving significant, balanced accuracy, indicating its robustness in predicting MetS and achieving a balanced accuracy of approximately 87%. Key predictors for men included body mass index and family history of gout, while waist circumference and glucose levels were most significant for women. In relation to diet, sleep quality, and social development, metabolic syndrome in men was associated with high lactose and carbohydrate intake, educational lag, living with a partner without marrying, and lack of durable goods, whereas in women, best predictors in these dimensions include protein, fructose, and cholesterol intake, copper metabolites, snoring, sobbing, drowsiness, sanitary adequacy, and anxiety. These findings underscore the need for personalized approaches in managing MetS and point to a promising direction for future research into the interplay between social factors, sleep disorders, and metabolic health, which mainly depend on nutrient consumption by region.

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“…We searched three additional literatures manually. A total of 27 studies ultimately met the inclusion criteria ( 12 , 14 , 15 , 17 – 22 , 30 – 47 ). There were six high quality studies and 21 moderate quality studies.…”

Section: Resultsmentioning

confidence: 99%

“…The characteristics of the 24 cross-sectional studies are presented in Supplementary Table 3 . Twenty studies reported MetS as the dependent variable ( 12 , 14 , 15 , 17 , 18 , 30 – 37 , 39 , 40 , 43 – 47 ) and four studies reported anxiety as the dependent variable ( 19 , 20 , 22 , 41 ). Twenty-four studies used two methods to diagnose anxiety, seven studies used structured diagnostic interviews, and 17 studies used self-report symptom scales.…”

Section: Resultsmentioning

confidence: 99%

“…Our previous systematic review and meta-analysis suggested that anxiety was positively associated with MetS ( 16 ). Since our last meta-analysis, there are nine studies on the association between anxiety and MetS have been published ( 12 , 14 , 15 , 17 – 22 ). Therefore, it is necessary to update the review to obtain current evidence based on the newly published research.…”

Section: Introductionmentioning

confidence: 99%

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Association between anxiety and metabolic syndrome: An updated systematic review and meta-analysis

Chen²,

Zhou³

et al. 2023

Front. Psychiatry

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ObjectivePrevious studies have demonstrated an association between anxiety and metabolic syndrome (MetS). However, the association is still controversial. This updated meta-analysis aimed to reanalyze the association between anxiety and MetS.MethodsWe comprehensively searched PubMed, Embase and Web of Science for all related studies published before January 23, 2023. Observational studies that informed effect size with 95% confidence interval (CI) for the association between anxiety and MetS were included. According to heterogeneity between studies, fixed or random effects models were applied to calculate the pooled effect size. Publication bias was examined by funnel plots.ResultsThe research included 24 cross-sectional studies: 20 studies used MetS as the dependent variable with a pooled OR of 1.07 (95% CI: 1.01–1.13) and four studies used anxiety as the dependent variable with a pooled OR of 1.14 (95% CI: 1.07–1.23). Three cohort studies were found: two studies detected the association of baseline anxiety with the risk of MetS, one of the studies demonstrated a significant association, but a similar result was not found in another study; one study showed no significant association between baseline MetS and the risk of anxiety.ConclusionCross-sectional studies indicated an association between anxiety and MetS. The results from cohort studies are still inconsistent and limited. More large-scale prospective studies are needed to further reveal the causal relationship of anxiety with MetS.

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Increased Prevalence of Depression and Anxiety Among Subjects With Metabolic Syndrome in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Cited by 3 publications

References 54 publications

Diet Overall and Hypocaloric Diets Are Associated With Improvements in Depression but Not Anxiety in People With Metabolic Conditions: A Systematic Review and Meta-Analysis

Diet Overall and Hypocaloric Diets Are Associated With Improvements in Depression but Not Anxiety in People With Metabolic Conditions: A Systematic Review and Meta-Analysis

Sleep Quality, Nutrient Intake, and Social Development Index Predict Metabolic Syndrome in the Tlalpan 2020 Cohort: A Machine Learning and Synthetic Data Study

Association between anxiety and metabolic syndrome: An updated systematic review and meta-analysis

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