Halder Pritam, Kansal Shubham, Chadhar Kartik, Seth Aswani, Das Semanti, Pal Saumyarup, Das Anamika, Vijayakumar Dheenadhayalan
Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Department of Community Medicine, Lady Hardinge Medical College, Delhi, India.
J Family Med Prim Care. 2024 Dec;13(12):5527-5535. doi: 10.4103/jfmpc.jfmpc_475_24. Epub 2024 Dec 9.
Multimorbidity development is linked with the age at menopause. Fewer studies are available to support the findings. This study was conducted to find, how multimorbidity is associated with the natural age of menopause.
LASI-1, a longitudinal study, collected detailed information on the psychological, social, economic, and health aspects of aging in India. Wave-1 data collection was done in all 35 states and union territories in India. Baseline data was collected from year 2017-2019. As the current study was a secondary data analysis to find the association between multimorbidity and age of menopause, only eligible women's relevant data was analyzed.
A total of 25,256 women were analyzed, 67.8% of participants had at least one comorbidity. The mean age was 58.5 ± 10.17 years. 57.04% and 13.45% women had optimal or suboptimal menopause, while 7.4%, 17.5%, and 4.4% had premature, early, and delayed menopause. A significant association was found for the presence of multimorbidity and premature (AOR 1.19 (1.07-1.32)), early menopause (AOR 1.18 (1.10-1.27)), and optimal age of menopause (AOR 0.83 (0.78-0.88)).
There is a high burden of multimorbidity and it is associated with the natural age of menopause. This study would be helpful for effective policymaking and a better primary healthcare approach to deal with the condition.
多种疾病的发生与绝经年龄有关。但支持这一发现的研究较少。本研究旨在探讨多种疾病与自然绝经年龄之间的关联。
LASI-1是一项纵向研究，收集了印度老年人心理、社会、经济和健康方面的详细信息。在印度所有35个邦和联邦属地进行了第一轮数据收集。基线数据收集于2017年至2019年。由于本研究是一项二次数据分析，旨在找出多种疾病与绝经年龄之间的关联，因此仅分析了符合条件的女性的相关数据。
共分析了25256名女性，67.8%的参与者至少患有一种合并症。平均年龄为58.5±10.17岁。57.04%和13.45%的女性绝经情况为最佳或次佳，而7.4%、17.5%和4.4%的女性分别为过早绝经、早绝经和晚绝经。研究发现，多种疾病的存在与过早绝经（调整后比值比1.19（1.07-1.32））、早绝经（调整后比值比1.18（1.10-1.27））以及最佳绝经年龄（调整后比值比0.83（0.78-0.88））之间存在显著关联。
多种疾病负担较重，且与自然绝经年龄有关。本研究将有助于制定有效的政策，并采取更好的初级医疗保健方法来应对这种情况。
