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A Metabolic–Epidemiological Microsimulation Model to Estimate the Changes in Energy Intake and Physical Activity Necessary to Meet the Healthy People 2020 Obesity Objective

机译:代谢-流行病学微观模拟模型,估算达到健康人2020肥胖目标所需的能量摄入和体育锻炼的变化

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Objectives. We combined a metabolic and an epidemiological model of obesity to estimate changes in calorie intake and physical activity necessary to achieve the Healthy People 2020 objective of reducing adult obesity prevalence from 33.9% to 30.5%. Methods. We used the National Health and Nutrition Examination Survey (1999–2010) to construct and validate a microsimulation model of the US population aged 10 years and older, for 2010 to 2020. Results. Obesity prevalence is expected to shift toward older adults, and disparities are expected to widen between White, higher-income groups and minority, lower-income groups if recent calorie consumption and expenditure trends continue into the future. Although a less than 10% reduction in daily calorie intake or increase in physical activity would in theory achieve the Healthy People 2020 objective, no single population-level intervention is likely to achieve the target alone, and individual weight-loss attempts are even more unlikely to achieve the target. Conclusions. Changes in calorie intake and physical activity portend rising inequalities in obesity prevalence. These changes require multiple simultaneous population interventions. The US federal government’s Healthy People 2020 objectives include reducing obesity prevalence among adults aged 20 years and older from 33.9% in 2005 to 2008 to 30.5%. 1 It is unclear how much of a reduction in calorie intake or increase in physical activity would be necessary to achieve this objective, because of real metabolic constraints on people’s ability to lose weight. It is also unclear whether the reduction in calorie intake or increase in physical activity necessary to reach this objective is consistent across age, racial/ethnic, and income groups. The latter question has important implications for targeting interventions to population groups with greatest need. In the past, mathematical models incorporating either epidemiological or metabolic data have been used to try to answer these questions. Epidemiological models forecast future trends in obesity by extending trends in body mass index (BMI) into the future; metabolic models project how individuals’ actions affect their body weight, taking into account the biochemistry of intake and expenditure. 2–6 To understand what population-level changes in calorie intake and physical activity are necessary to achieve the Healthy People 2020 objectives, we created a combined epidemiological–metabolic model.
机译:目标。我们结合了肥胖的代谢模型和流行病学模型,以估算实现2020年健康人群将成人肥胖率从33.9%降低到30.5%的目标所需的卡路里摄入量和身体活动的变化。方法。我们使用了美国国家健康与营养调查(1999-2010)构建并验证了2010年至2020年美国10岁及以上人口的微观模拟模型。结果。如果最近的卡路里消耗和支出趋势持续到将来,则肥胖症的流行预计将转向老年人,而白人,高收入人群和少数族裔,低收入人群之间的差异有望扩大。尽管理论上将每日卡路里摄入量减少或少于10%的增加运动量可以实现“健康人2020”的目标,但没有任何一种人群水平的干预措施可以单独实现该目标,并且个人减肥的尝试甚至更不可能实现目标。结论。卡路里摄入量和体育锻炼的变化预示着肥胖患病率的不平等加剧。这些变化需要多种同时的人口干预措施。美国联邦政府的“健康人群2020年”目标包括将20岁以上成年人的肥胖率从2005年的33.9%降低到2008年的30.5%。 1目前尚不清楚要实现此目标需要多少卡路里摄入量的减少或身体活动的增加,因为实际的代谢限制了人们的减肥能力。还不清楚在各个年龄段,种族/民族和收入群体中,达到该目标所需的卡路里摄入量减少或体育锻炼增加是否一致。后一个问题对于将干预措施针对最需要的人群具有重要意义。过去,结合流行病学或代谢数据的数学模型已用于尝试回答这些问题。流行病学模型通过将体重指数(BMI)的趋势扩展到未来来预测肥胖症的未来趋势;新陈代谢模型会考虑摄入和支出的生物化学,从而预测个人的行为如何影响其体重。 2–6为了了解实现2020年健康人群目标所需的卡路里摄入量和身体活动的总体水平变化,我们创建了流行病学-代谢模型。

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