Department of Sociology, Utah State University, Logan, Utah, USA.
Health Aff (Millwood). 2011 Aug;30(8):1562-8. doi: 10.1377/hlthaff.2011.0092. Epub 2011 Jun 23.
Traditional methods of projecting population health statistics, such as estimating future death rates, can give inaccurate results and lead to inferior or even poor policy decisions. A new "three-dimensional" method of forecasting vital health statistics is more accurate because it takes into account the delayed effects of the health risks being accumulated by today's younger generations. Applying this forecasting technique to the US obesity epidemic suggests that future death rates and health care expenditures could be far worse than currently anticipated. We suggest that public policy makers adopt this more robust forecasting tool and redouble efforts to develop and implement effective obesity-related prevention programs and interventions.
传统的人口健康统计预测方法,如估计未来的死亡率,可能会得出不准确的结果,导致较差甚至糟糕的政策决策。一种新的预测重要健康统计数据的“三维”方法更准确,因为它考虑到了当今年轻一代所积累的健康风险的滞后影响。将这一预测技术应用于美国肥胖症流行表明,未来的死亡率和医疗保健支出可能比目前预期的要糟糕得多。我们建议公共政策制定者采用这种更强大的预测工具,并加倍努力制定和实施有效的肥胖相关预防方案和干预措施。