Racial/Ethnic Disparities of Cancer, Metabolic Syndrome, and Lifestyle Behaviors in People under 50: A Cross-Sectional Study of Data from the National Health and Nutrition Examination Survey.

Racial/Ethnic Disparities of Cancer, Metabolic Syndrome, and Lifestyle Behaviors in People under 50: A Cross-Sectional Study of Data from the National Health and Nutrition Examination Survey.
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DOI:
10.3390/epidemiologia3040037
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发表时间:
2022-11-03
期刊:
Epidemiologia (Basel, Switzerland)
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其他
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简介:最近的流行病学研究表明,50 岁以下成年人中代谢综合征 (MetS) 和某些类型癌症的患病率呈上升趋势。然而,MetS 与 50 岁以下成年人中癌症的关系仍不清楚。此外,尚不清楚 MetS 与癌症之间的关联是否因种族/族裔群体而异,以及可改变的生活方式因素是否影响 MetS 与癌症的关系。方法:我们使用 2011-2018 年国家健康和营养检查调查 (NHANES) 的数据来定义病例对照样本,以检查与 MetS 和任何类型的癌症相关的潜在种族/民族差异。我们使用卡方检验和二元逻辑回归来检查 MetS 和癌症的关联。结果:在 10,220 例病例的总样本中,我们确定了 9960 例非癌症病例和 260 例癌症病例。二元 Logistic 回归结果显示,MetS 与非西班牙裔白人的癌症风险显着相关(比值比 = 1.48,95% 置信区间 = 1.00–2.19);然而,它与非西班牙裔黑人、西班牙裔/拉丁裔或亚裔美国人的风险无关。我们还发现了几个重要的癌症预测因素,包括年龄、性别、吸烟和睡眠时间,其作用因种族/民族亚组而异。结论:本研究的结果表明,种族/民族差异参与了 MetS 与癌症之间的关联,并强调了生活方式和行为因素的潜在中介作用。未来的研究应利用现有的纵向数据或来自队列或病例对照研究的数据,更好地研究 MetS 与少数种族/族裔癌症之间的因果关系。
Introduction: Recent epidemiological studies have suggested a trend of increasing prevalence of metabolic syndrome (MetS) and certain types of cancer among adults under age 50. How MetS is associated with cancer in adults under the age of 50, however, remains unclear. Furthermore, it remains unknown whether associations between MetS and cancer vary by racial/ethnic group and whether modifiable lifestyle factors influence MetS–cancer relationships. Methods: We used data from the 2011–2018 National Health and Nutrition Examination Survey (NHANES) to define a case-control sample to examine potential racial/ethnic disparities associated with MetS and cancer of any type. We used a chi-square test and binary logistic regression to examine the MetS and cancer association. Results: From a total sample of 10,220 cases, we identified 9960 no-cancer cases and 260 cancer cases. Binary logistic regression results showed that MetS was significantly associated with a cancer risk among non-Hispanic whites (odds ratio = 1.48, 95% confidence interval = 1.00–2.19); however, it was not associated with a risk among non-Hispanic Blacks, Hispanic/Latinos, or Asian Americans. We also found several significant predictors of cancer, including age, gender, tobacco use, and sleep duration, with their roles varying by racial/ethnic subgroup. Conclusion: The findings of this study indicate that racial/ethnic differences are involved in the association between MetS and cancer, and highlight the potential mediating effects of lifestyle and behavioral factors. Future research should leverage the existing longitudinal data or data from cohort or case-control studies to better examine the causal link between MetS and cancer among racial/ethnic minorities.
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