Literature DB >> 16230025

Spousal concordance of metabolic syndrome in 3141 Korean couples: a nationwide survey.

Hyeon Chang Kim1, Dae Ryong Kang, Kui Son Choi, Chung Mo Nam, G Neil Thomas, Il Suh.   

Abstract

PURPOSE: Epidemiologic data from various regions have shown familial correlations of cardiovascular risk factors and the metabolic syndrome (MES), but not spousal concordance that reflects shared environmental factors, which we describe in a Korean general population.
METHODS: We selected 3141 couples; both partners of all couples had completed a national health examination. MES was determined according to National Cholesterol Education Program Adult Treatment Panel-III (NCEP ATP-III) definitions, except for waist circumference, where Asian cutoffs were used. For each MES component, unadjusted and age-adjusted spousal correlations and spousal concordance, were calculated, using logistic regression analysis after adjustment for spousal ages.
RESULTS: There were strong positive spousal correlations for each component of the MES, even after adjustment for age. Significant spousal concordance of MES was also observed. Men whose wives had MES had 1.29 (95%CI, 1.07-1.57) times higher risk of having MES, compared to those whose wives did not. Women whose husbands had MES were also at 1.32 (95% CI, 1.09-1.61) times higher risk of having the MES.
CONCLUSIONS: There was significant spousal concordance of the MES in Koreans, which implies shared environmental factors contribute to the development of the MES. Targeting screening or disease prevention measures of partners of people with the MES may be beneficial.

Entities:  

Mesh:

Year:  2005        PMID: 16230025     DOI: 10.1016/j.annepidem.2005.07.052

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  13 in total

1.  Significant but weak spousal concordance of metabolic syndrome components in Japanese couples.

Authors:  Tomoko Okuda; Tadayoshi Miyazaki; Sonoko Sakuragi; Jiro Moriguchi; Hiroshi Tachibana; Fumiko Ohashi; Masayuki Ikeda
Journal:  Environ Health Prev Med       Date:  2013-09-26       Impact factor: 3.674

2.  Incidence of diabetes after a partner's diagnosis.

Authors:  Solveig A Cunningham; Sara R Adams; Julie A Schmittdiel; Mohammed K Ali
Journal:  Prev Med       Date:  2017-08-18       Impact factor: 4.018

3.  [Effects of Spouse-Participated Health Coaching for Male Office Workers with Cardiocerebrovascular Risk Factors].

Authors:  So Hee Kang; Seon Young Hwang
Journal:  J Korean Acad Nurs       Date:  2019-12       Impact factor: 0.984

Review 4.  Lovesick: How Couples' Relationships Influence Health.

Authors:  Janice K Kiecolt-Glaser; Stephanie J Wilson
Journal:  Annu Rev Clin Psychol       Date:  2017-03-16       Impact factor: 18.561

5.  Association between serum uric acid level and metabolic syndrome.

Authors:  Ju-Mi Lee; Hyeon Chang Kim; Hye Min Cho; Sun Min Oh; Dong Phil Choi; Il Suh
Journal:  J Prev Med Public Health       Date:  2012-05-31

6.  Investigating spousal concordance of diabetes through statistical analysis and data mining.

Authors:  Jong-Yi Wang; Chiu-Shong Liu; Chi-Hsuan Lung; Ya-Tun Yang; Ming-Hung Lin
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

7.  Concordance of hypertension, diabetes and dyslipidaemia in married couples: cross-sectional study using nationwide survey data in Japan.

Authors:  Taeko Watanabe; Takehiro Sugiyama; Hideto Takahashi; Haruko Noguchi; Nanako Tamiya
Journal:  BMJ Open       Date:  2020-07-28       Impact factor: 2.692

8.  Association between family members of dialysis patients and chronic kidney disease: a multicenter study in China.

Authors:  Xianglei Kong; Li Liu; Li Zuo; Ping Yuan; Zhongxin Li; Wenge Li; Meishun Cai; Xiangmei Chen; Aili Jiang; Gang Long; Jinsheng Xu; Hongli Lin; Shixiang Wang; Wen Huang; Yiping Wang; Yidan Guo; Po Cao; Hua Wu; Qiang Jia; Luxia Zhang; Mei Wang; Haiyan Wang
Journal:  BMC Nephrol       Date:  2013-01-18       Impact factor: 2.388

Review 9.  Spousal diabetes as a diabetes risk factor: a systematic review and meta-analysis.

Authors:  Aaron Leong; Elham Rahme; Kaberi Dasgupta
Journal:  BMC Med       Date:  2014-01-24       Impact factor: 8.775

10.  Chronic disease concordance within Indian households: A cross-sectional study.

Authors:  Shivani A Patel; Preet K Dhillon; Dimple Kondal; Panniyammakal Jeemon; Kashvi Kahol; Sathya Prakash Manimunda; Anil J Purty; Ajit Deshpande; P C Negi; Sulaiman Ladhani; Gurudayal Singh Toteja; Vikram Patel; Dorairaj Prabhakaran
Journal:  PLoS Med       Date:  2017-09-29       Impact factor: 11.069

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.