Minjin Zhang1,2, Ying Yang1,2,3, Fangchao Liu4, Jiajing Jia1,2,3, Qin Xu1,2,3, Long Wang1,2,5, Yuanyuan Wang1,2, Yuan He1,2, Ya Zhang1,2, Zuoqi Peng1,2, Qiaomei Wang3, Haiping Shen6, Zongyu Xu6, Yiping Zhang6, Donghai Yan6, Hongguang Zhang1,2, Xu Ma1,2,3. 1. National Research Institute for Family Planning, Beijing, China. 2. National Human Genetic Resource Center, Beijing, China. 3. Graduate School of Peking Union Medical College, Beijing, China. 4. Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Disease, China Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 5. Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China. 6. Department of Maternal and Child Health, National Health and Family Planning Commission of the PRC, Beijing, China.
Abstract
BACKGROUND: We comprehensively evaluated the association between husbands' smoking amount and wives' dysglycemia status. METHODS: We conducted a cross-sectional study which recruited 12 023 714 reproductive couples who participated in the National Free Pre-Pregnancy Checkups Project (NFPCP) between 2015 and 2016 in China. Multivariable logistic models were used to estimate odds ratio (OR) and 95% CI. Subgroup analysis and stratified analysis were further performed to investigate potential effect modification. RESULTS: Compared to the neither-smoker group, the multivariable-adjusted ORs for diabetes mellitus (DM) among women was 1.09 (95% CI, 1.07-1.10), 1.04 (95% CI, 0.87-1.23), and 1.28 (95% CI, 1.17-1.41) in the husband-smoker, wife-smoker, and both-smokers groups, respectively. An increased risk of DM was also observed for women whose husbands smoke 1 to 10 (OR, 1.06; 95% CI, 1.04-1.07), 11 to 20 (OR, 1.13; 95% CI, 1.11-1.15), and over 20 cigarettes per day (OR, 1.25; 95% CI, 1.17-1.31). The prevalence of wives' DM showed significant linear trends with husbands' smoking amount (Pfor trend < .001). A similar growth tendency was also observed between husband smoking amount and impaired fasting glucose (IFG) prevalence with ORs of 1.04 (95% CI, 1.04-1.05), 1.05 (95% CI, 1.04-1.06), and 1.09 (95% CI, 1.06-1.11) for 1-10, 11-20, and over 20 cigarettes per day, respectively. The relationship between husbands' smoking amount and wives' IFG/DM prevalence appear to be modified by body mass index (BMI). CONCLUSIONS: This study shows significant relationships between husbands' smoking and wives' risk of IFG/DM, and this result exists in both a categorical and dose-response manner. This association is modified by BMI. Family-oriented smoking interventions may both reduce husbands' active smoking and wives' risk of DM.
BACKGROUND: We comprehensively evaluated the association between husbands' smoking amount and wives' dysglycemia status. METHODS: We conducted a cross-sectional study which recruited 12 023 714 reproductive couples who participated in the National Free Pre-Pregnancy Checkups Project (NFPCP) between 2015 and 2016 in China. Multivariable logistic models were used to estimate odds ratio (OR) and 95% CI. Subgroup analysis and stratified analysis were further performed to investigate potential effect modification. RESULTS: Compared to the neither-smoker group, the multivariable-adjusted ORs for diabetes mellitus (DM) among women was 1.09 (95% CI, 1.07-1.10), 1.04 (95% CI, 0.87-1.23), and 1.28 (95% CI, 1.17-1.41) in the husband-smoker, wife-smoker, and both-smokers groups, respectively. An increased risk of DM was also observed for women whose husbands smoke 1 to 10 (OR, 1.06; 95% CI, 1.04-1.07), 11 to 20 (OR, 1.13; 95% CI, 1.11-1.15), and over 20 cigarettes per day (OR, 1.25; 95% CI, 1.17-1.31). The prevalence of wives' DM showed significant linear trends with husbands' smoking amount (Pfor trend < .001). A similar growth tendency was also observed between husband smoking amount and impaired fasting glucose (IFG) prevalence with ORs of 1.04 (95% CI, 1.04-1.05), 1.05 (95% CI, 1.04-1.06), and 1.09 (95% CI, 1.06-1.11) for 1-10, 11-20, and over 20 cigarettes per day, respectively. The relationship between husbands' smoking amount and wives' IFG/DM prevalence appear to be modified by body mass index (BMI). CONCLUSIONS: This study shows significant relationships between husbands' smoking and wives' risk of IFG/DM, and this result exists in both a categorical and dose-response manner. This association is modified by BMI. Family-oriented smoking interventions may both reduce husbands' active smoking and wives' risk of DM.