Investigating spousal concordance of diabetes through statistical analysis and data mining

Jong-Yi Wang, Chiu-Shong Liu, Chi-Hsuan Lung, Ya-Tun Yang and Ming-Hung Lin

PLOS ONE, 2017, vol. 12, issue 8, 1-16

Abstract: Objective: Spousal clustering of diabetes merits attention. Whether old-age vulnerability or a shared family environment determines the concordance of diabetes is also uncertain. This study investigated the spousal concordance of diabetes and compared the risk of diabetes concordance between couples and noncouples by using nationally representative data. Methods: A total of 22,572 individuals identified from the 2002–2013 National Health Insurance Research Database of Taiwan constituted 5,643 couples and 5,643 noncouples through 1:1 dual propensity score matching (PSM). Factors associated with concordance in both spouses with diabetes were analyzed at the individual level. The risk of diabetes concordance between couples and noncouples was compared at the couple level. Logistic regression was the main statistical method. Statistical data were analyzed using SAS 9.4. C&RT and Apriori of data mining conducted in IBM SPSS Modeler 13 served as a supplement to statistics. Results: High odds of the spousal concordance of diabetes were associated with old age, middle levels of urbanization, and high comorbidities (all P

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0183413

DOI: 10.1371/journal.pone.0183413

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