美国体重趋势:对美国国立卫生研究院合作数据集的纵向分析。

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM International Journal of Obesity Pub Date : 2024-10-29 DOI:10.1038/s41366-024-01661-w
Dawda Jawara, Craig M Krebsbach, Manasa Venkatesh, Jacqueline A Murtha, Bret M Hanlon, Kate V Lauer, Lily N Stalter, Luke M Funk
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引用次数: 0

摘要

背景:用于计算肥胖患病率的现有数据集,如美国国家健康与营养调查(NHANES)和行为风险因素监测系统(BRFSS),都存在局限性。我们的目标是利用包含纵向电子健康记录数据的全国代表性数据集分析美国的体重趋势:我们利用美国国立卫生研究院的 "我们所有人研究计划"(AoU)数据集,确定了从 2008 年到 2021 年的 5 年间至少测量过两次身高和体重的 18-70 岁患者。基线和最近的 BMI 值用于计算总体重 (%TBW) 变化。采用多变量线性回归法确定总体重变化率的预测因素:我们纳入了 30,862 名患者(平均年龄 48.9 [ ± 12.6] 岁;60.5% 为女性)。在 5 年的随访中,肥胖和严重肥胖的患病率分别为 37.4% 和 20.7%。体重指数正常或超重的患者中,随访时总热量增加≥5% 的比例分别为 37.8% 和 33.1%。近 24% 的患者体重减轻≥5%,6.5% 的重度肥胖患者体重减轻至 BMI 2。在调整分析中,男性(-1.10%,95% CI [-1.36,-0.85])、非西班牙裔亚洲人种/民族(-1.69% [-2.44,-0.94])和 2 型糖尿病(-1.58% [-1.95,-1.22])与体重减轻有关,而阻塞性睡眠呼吸暂停(1.80% [1.40,2.19])与体重增加有关:对美国国立卫生研究院(NIH)合作的数据集进行的评估表明,美国患者的体重仍在增加。AoU 是预测、预防和治疗肥胖症的独特工具,因为它具有纵向性质和独特的行为与遗传数据。
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U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset.

Background: Obesity is a major public health challenge in the U.S. Existing datasets utilized for calculating obesity prevalence, such as the National Health and Nutrition Examination Survey (NHANES) and Behavioral Risk Factor Surveillance System (BRFSS), have limitations. Our objective was to analyze weight trends in the U.S. using a nationally representative dataset that incorporates longitudinal electronic health record data.

Methods: Using the National Institutes of Health All of Us Research Program (AoU) dataset, we identified patients aged 18-70 years old who had at least two height and weight measurements within a 5-year period from 2008 to 2021. Baseline and most recent BMI values were used to calculate total body weight (%TBW) changes. %TBW change predictors were determined using multivariable linear regression.

Results: We included 30,862 patients (mean age 48.9 [ ± 12.6] years; 60.5% female). At the 5-year follow-up, the prevalences of obesity and severe obesity were 37.4% and 20.7%, respectively. The frequency of patients with normal weight or overweight BMI who gained ≥5% TBW at follow-up was 37.8% and 33.1%, respectively. Nearly 24% of the cohort lost ≥ 5% TBW, and 6.5% with severe obesity lost weight to achieve a BMI < 30 kg/m2. In adjusted analyses, male sex (-1.10%, 95% CI [-1.36, -0.85]), non-Hispanic Asian race/ethnicity (-1.69% [-2.44, -0.94]), and type 2 diabetes (-1.58% [-1.95, -1.22]) were associated with weight loss, while obstructive sleep apnea (1.80% [1.40, 2.19]) was associated with weight gain.

Conclusions: This evaluation of an NIH-partnered dataset suggests that patients are continuing to gain weight in the U.S. AoU represents a unique tool for obesity prediction, prevention, and treatment given its longitudinal nature and unique behavioral and genetic data.

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来源期刊
International Journal of Obesity
International Journal of Obesity 医学-内分泌学与代谢
CiteScore
10.00
自引率
2.00%
发文量
221
审稿时长
3 months
期刊介绍: The International Journal of Obesity is a multi-disciplinary forum for research describing basic, clinical and applied studies in biochemistry, physiology, genetics and nutrition, molecular, metabolic, psychological and epidemiological aspects of obesity and related disorders. We publish a range of content types including original research articles, technical reports, reviews, correspondence and brief communications that elaborate on significant advances in the field and cover topical issues.
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