Association between Occupational Dysfunction and Metabolic Syndrome in Community-Dwelling Japanese Adults in a Cross-Sectional Study: Ibara Study.
Association between Occupational Dysfunction and Metabolic Syndrome in Community-Dwelling Japanese Adults in a Cross-Sectional Study: Ibara Study.
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DOI：
10.3390/ijerph15112575
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发表时间：
2018-11-17
影响因子：
--
通讯作者：
Ogino K
中科院分区：
文献类型：
--
作者：
Miyake Y;Eguchi E;Ito H;Nakamura K;Ito T;Nagaoka K;Ogino N;Ogino K
本研究的目的是调查居住在社区的日本成年人 (N = 1,514) 的职业功能障碍和代谢综合征 (MetS) 及其组成因素之间的关系。测量自我报告的生活方式行为、职业功能障碍（CAOD）评分的分类和评估以及代谢特征。 CAOD 水平分为三等分（低、中和高），并通过逻辑回归分析评估它们与 MetS 及其组成部分的关联。 MetS 与 CAOD 的关联在个体总数 [OR = 1.92 (95% CI 1.17–3.17)] 和老年人 [OR = 1.90 (95% CI 1.04–3.46)] 中得到证实。对于超重个体，血脂异常和 CAOD 之间的关联很明显 [OR = 2.08 (95% CI 1.17–3.68)]。与 CAOD 得分最低组的人相比，CAOD 得分最高组的年轻个体 [OR = 2.02 (95% CI 1.05–3.89)] 中高血压与 CAOD 的关联性更高。如果考虑到职业功能障碍的观点，MetS的评估和与其预防相关的干预措施可能会更有效。
The purpose of this study was to investigate the relationship between occupational dysfunction and metabolic syndrome (MetS) and its component factors in community-dwelling Japanese adults (N = 1,514). Self-reported lifestyle behaviors, Classification and Assessment of Occupational Dysfunction (CAOD) scores, and metabolic traits were measured. CAOD levels were divided into tertiles (low, moderate, and high), and their associations with MetS and its components were evaluated through logistic regression analysis. The association of MetS with CAOD was demonstrated in the total number of individuals [OR = 1.92 (95% CI 1.17–3.17)] and in older individuals [OR = 1.90 (95% CI 1.04–3.46)]. The association of dyslipidemia and CAOD was evident for overweight individuals [OR = 2.08 (95% CI 1.17–3.68)]. A higher association of high blood pressure with CAOD was evidenced in younger individuals [OR = 2.02 (95% CI 1.05–3.89)] who belonged to the highest-CAOD-score group in comparison to those who registered the lowest-CAOD-score group. The evaluation of MetS and interventions related to its prevention may be more effective if the viewpoint of occupational dysfunction is taken into account.
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影响因子：
3.3
作者：
Saito, Isao;Iso, Hiroyasu;Tsugane, Shoichiro
通讯作者：
Tsugane, Shoichiro
影响因子：
8.3
作者：
Williams, JE;Nieto, FJ;Tyroler, HA
通讯作者：
Tyroler, HA
影响因子：
16.2
作者：
Raikkonen, Katri;Matthews, Karen A.;Kuller, Lewis H.
通讯作者：
Kuller, Lewis H.
影响因子：
6.7
作者：
Viinamaki, H.;Heiskanen, T.;Hintikka, J.
通讯作者：
Hintikka, J.
影响因子：
10.6
作者：
Carroll, Douglas;Phillips, Anna C.;Batty, G. David
通讯作者：
Batty, G. David