Social determinants have been understudied in relation to metabolic risk and menopause; this study aimed to identify metabolic risk factors during menopausal transition, changes in lifestyle, and other social determinants.
The Korean Genetic Epidemiologic Survey Community cohort data available for baseline, 2-year, and 4-year follow-up time points were analyzed. Healthy women ages 45 to 55 years, not taking hormonal therapy, were selected; 1,228 were analyzed. Menopausal transition was categorized as premenopausal, perimenopausal, and postmenopausal. Lifestyle patterns consisted of alcohol consumption, exercise, ever smoking, indirect smoking, and eating breakfast. Generalized estimating equations were used for analysis.
During the period of study, roughly 30% had become postmenopausal and metabolic syndrome was found in 11.5% to 14.4%. Controlling for other variables, lower income levels showed more than 2 times greater risk for metabolic syndrome in postmenopausal women and those who continued to menstruate. Body mass index was a consistent factor of metabolic risk, which was more pronounced when analyzed by menopausal status, especially in obese menstruating women (odds ratio 30.72, P < 0.0001). Among women who experienced menopause during the observed time frame, less education and sedentary lifestyle were also significant factors in metabolic risk differences, showing 1.7 times and 1.59 times greater risk, respectively. Such differences in education, income, and sedentary lifestyle as significant risk factors in subgroups according to menstrual status change, may suggest vulnerable points in the transition.
Implications include the need for stronger emphasis on weight control before midlife and experiencing menopause, promoting exercise across the menopausal transition, and supportive policy measures for economically disadvantaged women.
1College of Nursing, Mo-Im Kim Nursing Research Institute
2College of Nursing, Yonsei University, Seoul
3Department of Sociology, Hallym University, Chuncheon, Korea.
Address correspondence to: Gihong Yi, PhD, Department of Sociology, Hallym University, Social Science Hall 10515, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do, Korea <200-702>. E-mail: firstname.lastname@example.org
Received 26 April, 2015
Revised 4 August, 2015
Accepted 4 August, 2015
Funding/support: This research was supported by Hallym University Research Fund, 2015 (HRF-201503-009). This study was supported in part by a grant from the Korea Center for Disease Control and Prevention.
Financial disclosure/conflicts of interest: None reported.