Obesity and Depression: Its Prevalence and Influence as a Prognostic Factor: A Systematic Review

Blasco, Beatriz Villagrasa; García-Jiménez, Jesús; Bodoano, Isabel; Gutiérrez‐Rojas, Luis

doi:10.30773/pi.2020.0099

Cited by 114 publications

(85 citation statements)

References 30 publications

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“…Our findings were consistent with the results of previous studies indicating that depression was associated with weight 28 and was not associated with waist circumference 40 , 42 . Additionally, our crude model results were linked to those of previous studies suggesting that depression was related to BMI in only women 23 , 46 .…”

Section: Discussionsupporting

confidence: 74%

“…Boutelle et al 22 suggested that obesity was associated with future depressive symptoms in adolescent females, even though obesity was not related to major or clinical depression. Blasco et al 23 found an interconnection between depression and obesity. They mentioned that depression increased the risk for obesity in African American adolescent males, and obesity increased the risk for depression in females based on a systematic review study.…”

Section: Discussionmentioning

confidence: 98%

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Association of depressive disorder with biochemical and anthropometric indices in adult men and women

Lee

2021

Sci Rep

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Depression is a common psychiatric disorder. Although many risk factors for depression have been reported, the associations of biochemical and anthropometric indices with depressive disorder remain unclear. The objective of this study was to assess whether there are significant associations of depressive disorder with biochemical and obesity indices. This study was based on data from the Korea National Health and Nutrition Examination Survey from 2007 to 2018, and logistic regression was performed to examine the association of depression with biochemical and obesity indices. A total of 33,993 subjects were included in the analyses. Study subjects consisted of 13,178 men in the control group (mean age of 51.12 years), 509 men in the depression group (53.67), 18,279 women in the control group (50.5), and 2027 women in the depression group (55.39). Among men, the depression group was significantly more likely to have a lower height and weight than the control group. Compared to the control group, the depression group was more likely to have higher triglyceride levels and tended to have lower hematocrit and blood urea nitrogen (BUN) levels. Among women, the depression group was more likely to have higher triglyceride, aspartate aminotransferase (AST), BUN, and creatinine levels and lower high-density lipoprotein cholesterol (HDL-C), hematocrit, and red blood cell counts. Several biochemical and anthropometric indices used in this study were associated with depressive disorder, but these associations may differ according to sex.

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Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 98%

Association of depressive disorder with biochemical and anthropometric indices in adult men and women

Lee

2021

Sci Rep

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“…A French study by Chauvet-Gelenier et al, 8 reviewed the relation between depression and obesity across different geographical areas and confirmed significant bidirectional relationships between depression and obesity at a group level. A 2020 review by Blasco etal., 9 investigated the researches on the relation between depression and obesity and demonstrated that there is a link between them but the significance of association could not be established.…”

Section: Resultsmentioning

confidence: 99%

Factors affecting the incidence of depression in obese persons

Mohandas¹,

Prema²,

Kumar³

et al. 2021

AOWMC

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Introduction: Many researchers have highlighted a reciprocal link between depression and obesity. This study was an attempt to analyze the effect of various lifestyle factors on the degree of depression assessed using Beck’s inventory. Objectives: To analyse the incidence of depression in obese individuals using a standardised tool named Beck’s depression inventory and to analyse the correlation of different lifestyle and dietary factors with depression. Methodology: The study was conducted in two health care centres in Thiruvananthapuram, Kerala. This experiment was part of a research on obesity and was done among respondents having higher grades of BMI who attempted either bariatric surgery or conventional weight loss methods to reduce weight. The criterion for inclusion in this experiment were BMI of 33 Kg/m2 - 50 Kg/m2 and age range 18-65 years. Those having BMI more than 50Kg/m2, history of nephropathy, food allergy and uncontrolled diabetes were excluded. The samples included 10 respondents who opted conventional method and 18 respondents who opted Bariatric surgery for weight loss. The base line data were collected through a structured questionnaire and the depression status was assessed using Beck’s depression inventory. A comparative analysis was done using percentage distribution, Pearson correlation coefficient, ANOVA, and Paired t test. Results: The major variable for this experiment was the depression score which generated a mean value of 7.4±3.9 in the surgery group and 13.7± 8.2 in the non surgery group. Age, monthly income, sitting time in hours, sleep apnoea score, waist circumference, Family obesity score and morbidity score were influencing depression status. Body Mass Index and body fat percentage were the most correlating anthropometric parameters with the depression score. Sitting time lower than 5 hours and sleep duration greater than 6hours were related to higher depression score whereas sleep apnoea score did not have any linear relation with depression score. Sedentary occupation and sleep initiation time later than 10’o clock also related to higher score with depression inventory. Respondents who had a history of obesity from childhood had higher incidence of depression. The diet analysis revealed that higher intake of protein, carbohydrates and fiber produced a negative trend in the case of depression score while higher intake of fat was producing a positive correlation. The intake of Methionine, phenyl alanin, tryptophan and tyrosine were higher than requirement and had a negative influence on depression. Deficient intake of omega three and omega six fatty acids and excess intake of PUFA and MUFA related to higher scores in depression while adequate or higher intake of EPA and DHA related to lower scores of depression. When the intake of anti oxidant water soluble vitamins were low, the scores obtained with the depression inventory were high. The intake of calcium was close to requirement and was showing somewhat positive influence on depression score. The intake of other important minerals and trace elements were lesser than requirement and had negative influence on depression status. The mean intake of sodium was found to be higher than the recommended intake and produced proportional rise in the depression score. Summary and conclusion: It is clear from this study that unhealthy lifestyle patterns and poor diet quality have a strong influence on depression score obtained through Beck’s inventory

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“…We selected the following covariates based on the epidemiological evidence for their association with the risk of depression: body mass index (BMI) [21], smoking status [22], alcohol consumption [23,24], leisure-time physical activity [25], comorbid chronic conditions [26], occupation [4], working hours [27], and sleep duration [28] and engagement in Covid-19 related work [29].…”

Section: Exposure Variable and Covariatesmentioning

confidence: 99%

Is there an association between ABO blood types and depressive symptoms among Japanese healthcare workers during the COVID-19 pandemic?

et al. 2021

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ABO blood types could be a biological predisposition for depression. The present cross-sectional analysis was conducted amid the second wave of COVID-19 in Japan during July 2020. We wanted to investigate the association between ABO blood types and depressive symptoms among workers (352 men and 864 women, aged 21–73 years) of a medical institution in Tokyo, Japan, which took a leading role in the response to COVID-19 in the country. A Poisson regression model with a robust variance estimator was used to estimate the prevalence ratio (PR) and 95% confidence interval (CI) for depressive symptoms associated with ABO blood types. Overall, the prevalence of depressive symptoms (using two questions employed from a Two-question case-finding instrument) was 22.0%. The adjusted PRs (95% CI) for depressive symptoms, comparing the carriers of blood type O, A, and AB with those of type B, were 0.88 (0.66, 1.18), 0.81 (0.62, 1.07), and 1.07 (0.74, 1.53), respectively. There was no difference in the prevalence of depressive symptoms between non-B and B carriers. The present study did not support the association of ABO blood types with depressive symptoms.

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Obesity and Depression: Its Prevalence and Influence as a Prognostic Factor: A Systematic Review

Cited by 114 publications

References 30 publications

Association of depressive disorder with biochemical and anthropometric indices in adult men and women

Association of depressive disorder with biochemical and anthropometric indices in adult men and women

Factors affecting the incidence of depression in obese persons

Is there an association between ABO blood types and depressive symptoms among Japanese healthcare workers during the COVID-19 pandemic?

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