U-shaped relationship between depression and body mass index in the Korean adults.
Eur Psychiatry
; 45: 72-80, 2017 09.
Article
em En
| MEDLINE
| ID: mdl-28738292
ABSTRACT
BACKGROUND:
Although a number of studies have examined the relationship between depression and obesity, it is still insufficient to establish the specific pattern of relationship between depression and body mass index (BMI) categories. Thus, this study was aimed to investigate the relationship between depression and BMI categories.METHODS:
A cross-sectional study was conducted for a cohort of 159,390 Korean based on Kangbuk Samsung Health Study (KSHS). Study participants were classified into 5 groups by Asian-specific cut-off of BMI (18.5, 23, 25 and 30kg/m2). The presence of depression was determined by Center for Epidemiologic Studies-Depression scales (CES-D)≥16 and≥25. The adjusted odd ratios (ORs) for depression were evaluated by multiple logistic regression analysis, in which independent variable was 5 categories of BMI and dependent variable was depression. Subgroup analysis was conducted by gender and age.RESULTS:
When normal group was set as a reference, the adjusted ORs for depression formed U-shaped pattern of relationship with BMI categories [underweight 1.31 (1.14-1.50), overweight 0.94 (0.85-1.04), obese group 1.01 (0.91-1.12), severe obese group 1.28 (1.05-1.54)]. This pattern of relationship was more prominent in female and young age group than male and elderly subgroup. BMI level with the lowest likelihood of depression was 18.5kg/m2 to 25kg/m2 in women and 23kg/m2 to 25kg/m2 in men.CONCLUSIONS:
There was a U-shaped relationship between depression and BMI categories. This finding suggests that both underweight and severe obesity are associated with the increased risk for depression.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Índice de Massa Corporal
/
Depressão
/
Obesidade
Tipo de estudo:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prevalence_studies
/
Risk_factors_studies
Limite:
Adult
/
Aged
/
Female
/
Humans
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Male
/
Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article