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准确分类绝经状态用于研究:考虑年龄、自我报告绝经和可能掩盖绝经发生的因素的逐步指导和详细算法。

Accurate categorisation of menopausal status for research studies: a step-by-step guide and detailed algorithm considering age, self-reported menopause and factors potentially masking the occurrence of menopause.

机构信息

The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia.

Cancer Council NSW, Sydney, NSW, Australia.

出版信息

BMC Res Notes. 2022 Mar 4;15(1):88. doi: 10.1186/s13104-022-05970-z.

DOI:10.1186/s13104-022-05970-z
PMID:35246240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8895593/
Abstract

OBJECTIVE

Menopausal status impacts risk for many health outcomes. However, factors including hysterectomy without oophorectomy and Menopausal Hormone Therapy (MHT) can mask menopause, affecting reliability of self-reported menopausal status in surveys. We describe a step-by-step algorithm for classifying menopausal status using: directly self-reported menopausal status; MHT use; hysterectomy; oophorectomy; intervention timing; and attained age. We illustrate this approach using the Australian 45 and Up Study cohort (142,973 women aged ≥ 45 years).

RESULTS

We derived a detailed seven-category menopausal status, able to be further consolidated into four categories ("pre-menopause"/"peri-menopause"/"post-menopause"/"unknown") accounting for participants' ages. 48.3% of women had potentially menopause-masking interventions. Overall, 93,107 (65.1%), 9076 (6.4%), 17,930 (12.5%) and 22,860 (16.0%) women had a directly self-reported "post-menopause", "peri-menopause", "pre-menopause" and "not sure"/missing status, respectively. 61,464 women with directly self-reported "post-menopause" status were assigned a "natural menopause" detailed derived status (menopause without MHT use/hysterectomy/oophorectomy). By accounting for participants' ages, 105,817 (74.0%) women were assigned a "post-menopause" consolidated derived status, including 15,009 of 22,860 women with "not sure"/missing directly self-reported status. Conversely, 3178 of women with directly self-reported "post-menopause" status were assigned "unknown" consolidated derived status. This algorithm is likely to improve the accuracy and reliability of studies examining outcomes impacted by menopausal status.

摘要

目的

绝经状态会影响许多健康结果的风险。然而,包括子宫切除而未切除卵巢和激素替代疗法(MHT)在内的因素会掩盖绝经,从而影响调查中自我报告的绝经状态的可靠性。我们描述了一种使用以下方法对绝经状态进行分类的逐步算法:直接自我报告的绝经状态;MHT 使用情况;子宫切除术;卵巢切除术;干预时机;和达到的年龄。我们使用澳大利亚 45 岁及以上研究队列(142973 名年龄≥45 岁的女性)来说明这种方法。

结果

我们得出了一个详细的七类绝经状态,可以进一步合并为四个类别(“绝经前”/“围绝经期”/“绝经后”/“未知”),以说明参与者的年龄。48.3%的女性存在潜在的绝经掩盖干预措施。总的来说,93107(65.1%)、9076(6.4%)、17930(12.5%)和 22860(16.0%)的女性直接自我报告的“绝经后”、“围绝经期”、“绝经前”和“不确定/缺失”状态分别为 93107(65.1%)、9076(6.4%)、17930(12.5%)和 22860(16.0%)。61464 名直接自我报告“绝经后”状态的女性被分配了一个“自然绝经”详细的衍生状态(无 MHT 使用/子宫切除术/卵巢切除术的绝经)。通过考虑参与者的年龄,105817 名女性(74.0%)被分配了一个“绝经后”的综合衍生状态,其中包括 22860 名女性中有 15009 名直接报告的“不确定/缺失”状态。相反,3178 名直接报告“绝经后”状态的女性被分配了“未知”的综合衍生状态。这种算法可能会提高研究绝经状态对影响结果的准确性和可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d96/8895593/2070cf2f3e94/13104_2022_5970_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d96/8895593/98b14d03443b/13104_2022_5970_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d96/8895593/2070cf2f3e94/13104_2022_5970_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d96/8895593/98b14d03443b/13104_2022_5970_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d96/8895593/2070cf2f3e94/13104_2022_5970_Fig2_HTML.jpg

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