How the development of chronic morbidity and multimorbidity depends on natural age of menopause: Results from nationally representative cross-sectional Indian study.

IF 1.1 Q4 PRIMARY HEALTH CARE Journal of Family Medicine and Primary Care Pub Date : 2024-12-01 Epub Date: 2024-12-09 DOI:10.4103/jfmpc.jfmpc_475_24
Pritam Halder, Shubham Kansal, Kartik Chadhar, Aswani Seth, Semanti Das, Saumyarup Pal, Anamika Das, Dheenadhayalan Vijayakumar
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Abstract

Background: 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.

Methodology: 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.

Results: 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)).

Conclusion: 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.

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慢性疾病和多重疾病的发展如何取决于绝经的自然年龄:来自印度全国代表性横断面研究的结果。
背景:多病的发展与绝经年龄有关。支持这一发现的研究较少。本研究旨在发现多病与绝经自然年龄之间的关系。方法:LASI-1是一项纵向研究,收集了印度老龄化的心理、社会、经济和健康方面的详细信息。第一波数据收集工作在印度所有35个邦和联邦属地完成。基线数据收集于2017-2019年。由于本研究为寻找多发病与绝经年龄关系的二次数据分析,因此只分析符合条件的女性相关数据。结果:共有25256名女性被分析,67.8%的参与者至少有一种合并症。平均年龄58.5±10.17岁。57.04%和13.45%的女性处于最佳或次最佳绝经期,而7.4%、17.5%和4.4%的女性处于过早、提前和延迟绝经期。多病和过早(AOR 1.19(1.07-1.32))、早期绝经(AOR 1.18(1.10-1.27))和最佳绝经年龄(AOR 0.83(0.78-0.88))存在显著关联。结论:多病负担高,与绝经年龄有关。本研究将有助于有效的政策制定和更好的初级卫生保健方法来处理这种情况。
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7.10%
发文量
884
审稿时长
40 weeks
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