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美国数字队列中的月经周期不规律、排卵障碍和心脏代谢疾病

Irregular Cycles, Ovulatory Disorders, and Cardiometabolic Conditions in a US-Based Digital Cohort.

作者信息

Wang Zifan, Jukic Anne Marie Z, Baird Donna D, Wilcox Allen J, Li Huichu, Curry Christine L, Fischer-Colbrie Tyler, Onnela Jukka-Pekka, Williams Michelle A, Hauser Russ, Coull Brent A, Mahalingaiah Shruthi

机构信息

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, North Carolina.

出版信息

JAMA Netw Open. 2024 May 1;7(5):e249657. doi: 10.1001/jamanetworkopen.2024.9657.


DOI:10.1001/jamanetworkopen.2024.9657
PMID:38700861
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11069087/
Abstract

IMPORTANCE: Polycystic ovary syndrome (PCOS), characterized by irregular menstrual cycles and hyperandrogenism, is a common ovulatory disorder. Having an irregular cycle is a potential marker for cardiometabolic conditions, but data are limited on whether the associations differ by PCOS status or potential interventions. OBJECTIVE: To evaluate the association of PCOS, time to regularity since menarche (adolescence), and irregular cycles (adulthood) with cardiometabolic conditions. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used a large, US-based digital cohort of users of the Apple Research application on their iPhone. Eligibility criteria were having ever menstruated, living in the US, being at age of consent of at least 18 years (or 19 years in Alabama and Nebraska or 21 years in Puerto Rico), and being able to communicate in English. Participants were enrolled between November 14, 2019, and December 13, 2022, and completed relevant surveys. EXPOSURES: Self-reported PCOS diagnosis, prolonged time to regularity (not spontaneously establishing regularity within 5 years of menarche), and irregular cycles. MAIN OUTCOMES AND MEASURES: The primary outcome was self-reported cardiometabolic conditions, including obesity, prediabetes, type 1 and 2 diabetes, high cholesterol, hypertension, metabolic syndrome, arrhythmia, congestive heart failure, coronary artery disease, heart attack, heart valve disease, stroke, transient ischemic attack (TIA), deep vein thrombosis, and pulmonary embolism measured using descriptive statistics and logistic regression to estimate prevalence odds ratios (PORs) and 95% CIs. Effect modification by lifestyle factors was also estimated. RESULTS: The study sample (N = 60 789) had a mean (SD) age of 34.5 (11.1) years, with 12.3% having PCOS and 26.3% having prolonged time to regularity. Among a subset of 25 399 participants who completed the hormonal symptoms survey, 25.6% reported irregular cycles. In covariate-adjusted logistic regression models, PCOS was associated with a higher prevalence of all metabolic and several cardiovascular conditions, eg, arrhythmia (POR, 1.37; 95% CI, 1.20-1.55), coronary artery disease (POR, 2.92; 95% CI, 1.95-4.29), heart attack (POR, 1.79; 95% CI, 1.23-2.54), and stroke (POR, 1.66; 95% CI, 1.21-2.24). Among participants without PCOS, prolonged time to regularity was associated with type 2 diabetes (POR, 1.24; 95% CI, 1.05-1.46), hypertension (POR, 1.09; 95% CI, 1.01-1.19), arrhythmia (POR, 1.20; 95% CI, 1.06-1.35), and TIA (POR, 1.33; 95% CI, 1.01-1.73), and having irregular cycles was associated with type 2 diabetes (POR, 1.36; 95% CI, 1.08-1.69), high cholesterol (POR, 1.17; 95% CI, 1.05-1.30), arrhythmia (POR, 1.21; 95% CI, 1.02-1.43), and TIA (POR, 1.56; 95% CI, 1.06-2.26). Some of these associations were modified by high vs low body mass index or low vs high physical activity. CONCLUSIONS AND RELEVANCE: These findings suggest that PCOS and irregular cycles may be independent markers for cardiometabolic conditions. Early screening and intervention among individuals with irregular menstrual cycles may be beneficial.

摘要

重要性:多囊卵巢综合征(PCOS)以月经周期不规律和高雄激素血症为特征,是一种常见的排卵障碍。月经周期不规律是心脏代谢疾病的一个潜在标志,但关于这些关联是否因PCOS状态或潜在干预措施而异的数据有限。 目的:评估PCOS、初潮(青春期)后月经规律所需时间以及(成年期)月经周期不规律与心脏代谢疾病之间的关联。 设计、背景和参与者:这项横断面研究使用了一个基于美国的大型数字队列,该队列由iPhone上使用苹果研究应用程序的用户组成。纳入标准为曾经有过月经、居住在美国、年龄至少达到同意参与研究的年龄(阿拉巴马州和内布拉斯加州为19岁,波多黎各为21岁),并且能够用英语交流。参与者于2019年11月14日至2022年12月13日期间入组,并完成了相关调查。 暴露因素:自我报告的PCOS诊断、月经规律所需时间延长(初潮后5年内未自然建立规律月经周期)以及月经周期不规律。 主要结局和测量指标:主要结局是自我报告的心脏代谢疾病,包括肥胖、糖尿病前期、1型和2型糖尿病、高胆固醇、高血压、代谢综合征、心律失常、充血性心力衰竭、冠状动脉疾病、心脏病发作、心脏瓣膜病、中风、短暂性脑缺血发作(TIA)、深静脉血栓形成和肺栓塞,使用描述性统计和逻辑回归来估计患病率比值比(POR)和95%置信区间(CI)。还评估了生活方式因素的效应修正。 结果:研究样本(N = 60789)的平均(标准差)年龄为34.5(11.1)岁,其中12.3%患有PCOS,26.3%月经规律所需时间延长。在完成激素症状调查的25399名参与者子集中,25.6%报告月经周期不规律。在协变量调整的逻辑回归模型中,PCOS与所有代谢疾病和几种心血管疾病的较高患病率相关,例如心律失常(POR,1.37;95% CI,1.20 - 1.55)、冠状动脉疾病(POR,2.92;95% CI,1.95 - 4.29)、心脏病发作(POR,1.79;95% CI,1.23 - 2.54)和中风(POR,1.66;95% CI,1.21 - 2.24)。在没有PCOS的参与者中,月经规律所需时间延长与2型糖尿病(POR,1.24;95% CI,1.05 - 1.46)、高血压(POR,1.09;95% CI,1.01 - 1.19)、心律失常(POR,1.20;95% CI,1.06 - 1.35)和TIA(POR,1.33;95% CI,1.01 - 1.73)相关,月经周期不规律与2型糖尿病(POR,1.36;95% CI,1.08 - 1.69)、高胆固醇(POR,1.17;95% CI,1.05 - 1.30)、心律失常(POR,1.21;95% CI,1.02 - 1.43)和TIA(POR,1.56;95% CI,1.06 - 2.26)相关。其中一些关联因体重指数高与低或身体活动少与多而有所改变。 结论和相关性:这些发现表明,PCOS和月经周期不规律可能是心脏代谢疾病的独立标志。对月经周期不规律的个体进行早期筛查和干预可能有益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/035f/11069087/c78d820bd9f7/jamanetwopen-e249657-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/035f/11069087/627a76aaf97c/jamanetwopen-e249657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/035f/11069087/c78d820bd9f7/jamanetwopen-e249657-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/035f/11069087/627a76aaf97c/jamanetwopen-e249657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/035f/11069087/c78d820bd9f7/jamanetwopen-e249657-g002.jpg

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J Med Internet Res. 2025-8-5

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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本文引用的文献

[1]
Examining individual social status using the MacArthur Scale of Subjective Social Status: Findings from the Born in Bradford study.

SSM Popul Health. 2023-7-3

[2]
Recommendations From the 2023 International Evidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome.

J Clin Endocrinol Metab. 2023-9-18

[3]
Women with PCOS have an increased risk for cardiovascular disease regardless of diagnostic criteria-a prospective population-based cohort study.

Eur J Endocrinol. 2023-7-20

[4]
Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study.

NPJ Digit Med. 2023-5-29

[5]
Current Guidelines for Diagnosing PCOS.

Diagnostics (Basel). 2023-3-15

[6]
Polycystic ovary syndrome (PCOS): international collaboration to translate evidence and guide future research.

J Endocrinol. 2023-4-28

[7]
Menstruation Dysregulation and Endometriosis Development.

Front Reprod Health. 2021-10-13

[8]
Menstrual Cycle Regularity and Length Across the Reproductive Lifespan and Risk of Cardiovascular Disease.

JAMA Netw Open. 2022-10-3

[9]
Race, Racism, and Cardiovascular Health: Applying a Social Determinants of Health Framework to Racial/Ethnic Disparities in Cardiovascular Disease.

Circ Cardiovasc Qual Outcomes. 2022-1

[10]
Menstrual irregularity as a biological limit to early pregnancy awareness.

Proc Natl Acad Sci U S A. 2022-1-4

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