Sedentary Behavior Time in Association with Socioeconomic Status, Physical Activity, and Incidence of Metabolic Syndrome In Male Adults: Based on the 7th (2016-2018) Korean National Health and Nutrition Examination Survey

Author(s):  
InKyung Jung ◽  
Jung-Hyun Kim
2020 ◽  
Author(s):  
Byungmi Kim ◽  
Eun Young Park

Abstract Background: Accumulating evidence supports the existence of a metabolic–mood syndrome. Lower socioeconomic status (SES) is correlated with a higher prevalence of both depression and metabolic syndrome (MS). However, the nature of this association remains poorly understood. The objective of this study was to examine whether the combination of MS and lower SES was associated with the prevalence of depression. Methods: We conducted a cross-sectional study of 24,102 adults (>19 years of age) who participated in the 2008–2013 Korean National Health and Nutrition Examination Survey and for whom MS and depression data were available. MS was defined using the diagnostic criteria of the modified National Cholesterol Education Program Adult Treatment Panel III. Depression was assessed using a questionnaire. Multiple logistic regression analysis was used to evaluate the association between depression and MS as well as SES (alone and in combination). Results: Overall, 622 of the 24,102 subjects (2.2%) met the criteria for depression. The prevalence of depression was associated with MS, a lower high-density lipoprotein cholesterol level, an elevated triglyceride level, a lower education level, and a lower household income. Participants with MS and a low SES had a higher likelihood of depression than those without MS and a high SES (odds ratio [OR]=4.180 for low education level and OR=3.994 for low household income level). Conclusions: This study suggests that the combination of SES and MS may play an important role in depression, which has implications for healthcare policy and depression management.


2019 ◽  
Vol 25 (4) ◽  
pp. 275-279
Author(s):  
Michele L Nicolo ◽  
Patricia A Shewokis ◽  
Joseph Boullata ◽  
Deeptha Sukumar ◽  
Sinclair Smith ◽  
...  

Background: Sedentary behavior activities have been associated with an increased risk of type 2 diabetes. Aim: Our aim was to determine whether sedentary behavior time (SBT) is predictive of hemoglobin A1c (HbA1c) ≥ 6.5% (48 mmol/mol). Methods: We used cross-sectional data, adults 40 to 59 years of age, from the National Health and Nutrition Examination Survey (NHANES) for 2003 to 2004 and 2013 to 2014. Responses to questions on the Physical Activity Questionnaire regarding time watching television/videos, and time spent sitting in front of a computer per day were compiled into tertiles. Binary logistic regression analysis was used to determine whether SBT was a predictor of a HbA1c ≥ 6.5% adjusting for age, sex, race and ethnicity, and body mass index. Results: In a univariate model, adults reporting ≥ 8 hours of SBT in NHANES 2003–2004 had 2.02 increased odds of a HbA1c ≥ 6.5% (OR = 2.02, 95% CI: 1.31, 3.13, p < 0.0001) compared to adults reporting ≤ 3 hours. After adjusting the regression model for age, sex, race and ethnicity, and body mass index, adults reporting ≥ 8 hours of SBT in NHANES 2003 to 2004 had 1.72 increased odds of HbA1c ≥ 6.5% (OR = 2.02, 95% CI: 1.10, 2.68, p < 0.0001) compared to adults reporting ≤ 3 hours of SBT. Reported SBT was not a predictor of HbA1c ≥ 6.5% for NHANES 2013 to 2014. Conclusion: Reported SBT was a predictor of HbA1c ≥ 6.5% among adults, 40 to 59 years of age, in NHANES 2003 to 2004, but was not a predictor in 2013 to 2014.


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