TY - JOUR
T1 - Associations of total and domain-specific sedentary time with type 2 diabetes in Taiwanese older adults
AU - Hsueh, Ming Chun
AU - Liao, Yung
AU - Chang, Shao Hsi
N1 - Funding Information:
This research was partially supported by the "Aim for the Top University Project" of National Taiwan Normal University (NTNU), sponsored by the Ministry of Education, Taiwan, R.O.C. and the "International Research-Intensive Center of Excellence Program" of NTNU and the Ministry of Science and Technology, Taiwan, R.O.C. under Grant No. MOST 104-2911-I-003-301.
Publisher Copyright:
© 2016 Ming-Chun Hsueh et al.
PY - 2016
Y1 - 2016
N2 - Background: The increasing prevalence of type 2 diabetes in older adults has become a public health concern. We investigated the associations of total and domain-specific sedentary time with risk of type 2 diabetes in older adults. Methods: The sample comprised 1046 older people (aged ≥65 years). Analyses were performed using crosssectional data collected via computer-assisted telephone-based interviews in 2014. Data on six self-reported domains of sedentary time (Measure of Older Adults' Sedentary Time), type 2 diabetes status, and sociodemographic variables were included in the study. Binary logistic regression analysis was performed to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for total and individual sedentary behavior components and likelihood of type 2 diabetes. Results: A total of 17.5% of the participants reported type 2 diabetes. No significant associations were found between total sitting time and risk of type 2 diabetes, after controlling for confounding factors. After total sedentary behavior was stratified into six domains, only watching television for more than 2 hours per day was associated with higher odds of type 2 diabetes (OR 1.56; 95% CI, 1.10-2.21), but no significant associations were found between other domains of sedentary behavior (computer use, reading, socializing, transport, and hobbies) and risk of type 2 diabetes. Conclusions: These findings suggest that, among domain-specific sedentary behavior, excessive television viewing might increase the risk of type 2 diabetes among older adults more than other forms of sedentary behavior.
AB - Background: The increasing prevalence of type 2 diabetes in older adults has become a public health concern. We investigated the associations of total and domain-specific sedentary time with risk of type 2 diabetes in older adults. Methods: The sample comprised 1046 older people (aged ≥65 years). Analyses were performed using crosssectional data collected via computer-assisted telephone-based interviews in 2014. Data on six self-reported domains of sedentary time (Measure of Older Adults' Sedentary Time), type 2 diabetes status, and sociodemographic variables were included in the study. Binary logistic regression analysis was performed to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for total and individual sedentary behavior components and likelihood of type 2 diabetes. Results: A total of 17.5% of the participants reported type 2 diabetes. No significant associations were found between total sitting time and risk of type 2 diabetes, after controlling for confounding factors. After total sedentary behavior was stratified into six domains, only watching television for more than 2 hours per day was associated with higher odds of type 2 diabetes (OR 1.56; 95% CI, 1.10-2.21), but no significant associations were found between other domains of sedentary behavior (computer use, reading, socializing, transport, and hobbies) and risk of type 2 diabetes. Conclusions: These findings suggest that, among domain-specific sedentary behavior, excessive television viewing might increase the risk of type 2 diabetes among older adults more than other forms of sedentary behavior.
KW - Domain-specific
KW - Older adults
KW - Sedentary lifestyle
KW - TV viewing
KW - Type 2 diabetes
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U2 - 10.2188/jea.JE20150095
DO - 10.2188/jea.JE20150095
M3 - Article
C2 - 26875598
AN - SCOPUS:84982913089
SN - 0917-5040
VL - 26
SP - 348
EP - 354
JO - Journal of Epidemiology
JF - Journal of Epidemiology
IS - 7
ER -