Alison Kochersberger, Aeowynn J. Coakley, Leah Millheiser, Jerrine R Morris, Claire Manneh, Alicia Jackson, Jennifer L Garrison, E. Hariton
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Symptom severity was evaluated using a multivariate binomial generalized linear model, accounting for factors such as race, ethnicity, age, body mass index, smoking status, bilateral oophorectomy status, and SES. Odds ratios (OR) and CIs were calculated based on the linear regression coefficients.\n\n\nRESULTS\nOf the participants, 67,867 (98.6%) were included in the analysis after excluding outliers and those with unknown oophorectomy status. The majority of respondents identified as White (77.4%), followed by Hispanic (9.0%), Black (6.7%), two or more races/ethnicities (4.4%), Asian (1.2%), Indigenous/First Nations (0.8%), Middle Eastern (0.3%), and South Asian (0.2%). Notably, individuals identifying as Black (hot flashes OR, 1.91; 97.5% CI, 1.75-2.09; P < 0.001), Hispanic (skin/hair changes OR, 1.58; 97.5% CI, 1.45-1.71; P < 0.001), Indigenous/First Nations (painful sex OR, 1.39; 97.5% CI, 1.19-2.75; P = 0.007), Middle Eastern (weight changes OR, 2.22; 97.5% CI, 1.25-4.37; P = 0.01), or with two or more races/ethnicities (skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001) reported higher levels of symptom severity compared with their White counterparts. Conversely, Asian and South Asian participants reported lower symptom severity. Even after incorporating SES into the linear model, racial and ethnic groups with lower SES (Black, Hispanic, Indigenous, and multiple ethnicities) exhibited slight shifts in OR while maintaining high statistical significance (Black [hot flashes OR, 1.87; 97.5% CI, 1.72-2.04; P < 0.001], Hispanic [skin/hair changes OR, 1.54; 97.5% CI, 1.42-1.68; P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]).\n\n\nCONCLUSIONS\nOur study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not solely explained by differences in SES but is itself an independent factor. Understanding and addressing social, cultural, and economic factors are crucial to reduce disparities in menopausal symptoms.","PeriodicalId":18404,"journal":{"name":"Menopause","volume":"50 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The association of race, ethnicity, and socioeconomic status on the severity of menopause symptoms: a study of 68,864 women.\",\"authors\":\"Alison Kochersberger, Aeowynn J. Coakley, Leah Millheiser, Jerrine R Morris, Claire Manneh, Alicia Jackson, Jennifer L Garrison, E. Hariton\",\"doi\":\"10.1097/GME.0000000000002349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\nThis study aimed to evaluate if and how race, ethnicity, and socioeconomic status (SES) are associated with the severity of menopause symptoms in a large, diverse sample of women.\\n\\n\\nMETHODS\\nFor this cross-sectional study conducted between March 24, 2019, and January 13, 2023, a total of 68,864 women were enrolled from the Evernow online telehealth platform. Participants underwent a clinical intake survey, which encompassed demographic information, detailed medical questionnaires, and a modified Menopause Rating Scale. The modified scale was adapted for ease of use online and is available in the supplementary material along with the full intake. Symptom severity was evaluated using a multivariate binomial generalized linear model, accounting for factors such as race, ethnicity, age, body mass index, smoking status, bilateral oophorectomy status, and SES. Odds ratios (OR) and CIs were calculated based on the linear regression coefficients.\\n\\n\\nRESULTS\\nOf the participants, 67,867 (98.6%) were included in the analysis after excluding outliers and those with unknown oophorectomy status. The majority of respondents identified as White (77.4%), followed by Hispanic (9.0%), Black (6.7%), two or more races/ethnicities (4.4%), Asian (1.2%), Indigenous/First Nations (0.8%), Middle Eastern (0.3%), and South Asian (0.2%). Notably, individuals identifying as Black (hot flashes OR, 1.91; 97.5% CI, 1.75-2.09; P < 0.001), Hispanic (skin/hair changes OR, 1.58; 97.5% CI, 1.45-1.71; P < 0.001), Indigenous/First Nations (painful sex OR, 1.39; 97.5% CI, 1.19-2.75; P = 0.007), Middle Eastern (weight changes OR, 2.22; 97.5% CI, 1.25-4.37; P = 0.01), or with two or more races/ethnicities (skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001) reported higher levels of symptom severity compared with their White counterparts. Conversely, Asian and South Asian participants reported lower symptom severity. Even after incorporating SES into the linear model, racial and ethnic groups with lower SES (Black, Hispanic, Indigenous, and multiple ethnicities) exhibited slight shifts in OR while maintaining high statistical significance (Black [hot flashes OR, 1.87; 97.5% CI, 1.72-2.04; P < 0.001], Hispanic [skin/hair changes OR, 1.54; 97.5% CI, 1.42-1.68; P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]).\\n\\n\\nCONCLUSIONS\\nOur study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not solely explained by differences in SES but is itself an independent factor. Understanding and addressing social, cultural, and economic factors are crucial to reduce disparities in menopausal symptoms.\",\"PeriodicalId\":18404,\"journal\":{\"name\":\"Menopause\",\"volume\":\"50 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Menopause\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/GME.0000000000002349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Menopause","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/GME.0000000000002349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
方法在 2019 年 3 月 24 日至 2023 年 1 月 13 日期间进行的这项横断面研究中,Evernow 在线远程医疗平台共招募了 68864 名女性。参与者接受了临床入组调查,其中包括人口统计学信息、详细的医疗问卷和修改后的更年期评分量表。为了便于在线使用,我们对该量表进行了修改,修改后的量表与完整的问卷一起载于补充材料中。症状严重程度采用多变量二项式广义线性模型进行评估,并考虑了种族、民族、年龄、体重指数、吸烟状况、双侧输卵管切除状况和社会经济地位等因素。结果 在剔除异常值和卵巢切除情况不明者后,67867 名参与者(98.6%)被纳入分析。大多数受访者认为自己是白人(77.4%),其次是西班牙裔(9.0%)、黑人(6.7%)、两个或两个以上种族/民族(4.4%)、亚裔(1.2%)、土著/原住民(0.8%)、中东裔(0.3%)和南亚裔(0.2%)。值得注意的是,黑人(潮热 OR,1.91;97.5% CI,1.75-2.09;P <0.001)、西班牙裔(皮肤/头发变化 OR,1.58;97.5% CI,1.45-1.71;P <0.001)、土著/原住民(性生活疼痛 OR,1.39;97.5% CI,1.19-2.75;P = 0.007)、中东人(体重变化 OR,2.22;97.5% CI,1.25-4.37;P = 0.01)或有两个或两个以上种族/民族(皮肤/毛发变化 OR,1.41;97.5% CI,1.26-1.58;P <0.001)与白人相比,症状严重程度更高。相反,亚裔和南亚裔参与者的症状严重程度较低。即使在将社会经济地位纳入线性模型后,社会经济地位较低的种族和民族群体(黑人、西班牙裔、土著和多种族)的 OR 值仍有轻微变化,但仍保持较高的统计学意义(黑人[潮热 OR 值,1.87;97.5% CI,1.72-2.04;P < 0.001],西班牙裔[皮肤/头发变化 OR 值,1.54;97.5% CI,1.42-1.68;P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]).CONCLUSIONSOur study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not only explained by differences in SES but is itself an independent factor.了解并解决社会、文化和经济因素对于减少更年期症状的差异至关重要。
The association of race, ethnicity, and socioeconomic status on the severity of menopause symptoms: a study of 68,864 women.
OBJECTIVE
This study aimed to evaluate if and how race, ethnicity, and socioeconomic status (SES) are associated with the severity of menopause symptoms in a large, diverse sample of women.
METHODS
For this cross-sectional study conducted between March 24, 2019, and January 13, 2023, a total of 68,864 women were enrolled from the Evernow online telehealth platform. Participants underwent a clinical intake survey, which encompassed demographic information, detailed medical questionnaires, and a modified Menopause Rating Scale. The modified scale was adapted for ease of use online and is available in the supplementary material along with the full intake. Symptom severity was evaluated using a multivariate binomial generalized linear model, accounting for factors such as race, ethnicity, age, body mass index, smoking status, bilateral oophorectomy status, and SES. Odds ratios (OR) and CIs were calculated based on the linear regression coefficients.
RESULTS
Of the participants, 67,867 (98.6%) were included in the analysis after excluding outliers and those with unknown oophorectomy status. The majority of respondents identified as White (77.4%), followed by Hispanic (9.0%), Black (6.7%), two or more races/ethnicities (4.4%), Asian (1.2%), Indigenous/First Nations (0.8%), Middle Eastern (0.3%), and South Asian (0.2%). Notably, individuals identifying as Black (hot flashes OR, 1.91; 97.5% CI, 1.75-2.09; P < 0.001), Hispanic (skin/hair changes OR, 1.58; 97.5% CI, 1.45-1.71; P < 0.001), Indigenous/First Nations (painful sex OR, 1.39; 97.5% CI, 1.19-2.75; P = 0.007), Middle Eastern (weight changes OR, 2.22; 97.5% CI, 1.25-4.37; P = 0.01), or with two or more races/ethnicities (skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001) reported higher levels of symptom severity compared with their White counterparts. Conversely, Asian and South Asian participants reported lower symptom severity. Even after incorporating SES into the linear model, racial and ethnic groups with lower SES (Black, Hispanic, Indigenous, and multiple ethnicities) exhibited slight shifts in OR while maintaining high statistical significance (Black [hot flashes OR, 1.87; 97.5% CI, 1.72-2.04; P < 0.001], Hispanic [skin/hair changes OR, 1.54; 97.5% CI, 1.42-1.68; P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]).
CONCLUSIONS
Our study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not solely explained by differences in SES but is itself an independent factor. Understanding and addressing social, cultural, and economic factors are crucial to reduce disparities in menopausal symptoms.