Greenberg J A
Department of Health and Nutrition Sciences, Brooklyn College, New York 11210, USA.
Int J Obes Relat Metab Disord. 2001 Jul;25(7):1071-8. doi: 10.1038/sj.ijo.0801648.
Conflicting research findings have created uncertainty as to the ideal body weight.
To test whether average-adulthood BMI (body mass index, weight in kilograms per height in meters squared) is a more reliable predictor of mortality risk than the one-time baseline BMI measurement which has been used in previous studies.
Prospective cohort study with a 20 y follow-up period, the First National Health and Examination Survey (NHANES 1) Epidemiologic Follow-up Study (NHEFS).
A random probability sample of 14,407 adults aged 25-74 y in the 1971-1975 NHANES 1.
Body-weight data were derived from measurements in the 1971-1975 and 1982-1984 NHEFS surveys, and current and recalled estimates by subjects in the 1971-1975, 1982-1984, 1986 and 1987 surveys. Height was measured in the 1971-1975 survey. Socio-economic and lifestyle covariates were derived from questionnaires administered in all four surveys. Almost all deaths were verified by death certificates.
The shape of the morality risk vs baseline BMI curve varied due to a bias (late-life bias) caused by a steep decrease in BMI among the elderly toward the end of the lifespan. In a particular analysis, the portion of subjects at baseline who were deceased elderly with lower BMI than age-matched censored subjects indicated the size of the bias, and appeared to be the proximate cause. Strong evidence was found to support the proximate cause being the actual cause. Excluding deaths during early follow-up was only able to remove the late-life bias in limited circumstances. Using average-adulthood BMI as mortality predictor and baseline BMI as covariate was very effective in removing the late-life bias. It also appeared to remove the reverse-causation and regression-dilution biases, and yielded robustly positive mortality risk vs average-adulthood BMI curves in all analyses in which it was tested.
Average-adulthood BMI appears to be an appropriate predictor of mortality risk, provided baseline BMI is used as a covariate. Among non-elderly persons, being leaner meant a lower mortality risk, down to the lowest category of leanness in the study-<20 kg/m(2). Future survival analyses of the mortality-BMI relationship should account for the effects of the regression-dilution, reverse-causation and late-life biases.
相互矛盾的研究结果使得理想体重存在不确定性。
检验成年期平均体重指数(BMI,体重千克数除以身高米数的平方)是否比以往研究中使用的一次性基线BMI测量更能可靠地预测死亡风险。
前瞻性队列研究,随访期为20年,即第一次全国健康与检查调查(NHANES 1)流行病学随访研究(NHEFS)。
1971 - 1975年NHANES 1中14407名年龄在25 - 74岁的成年人的随机概率样本。
体重数据来自1971 - 1975年和1982 - 1984年NHEFS调查中的测量结果,以及1971 - 1975年、1982 - 1984年、1986年和1987年调查中受试者的当前及回忆估计值。身高在1971 - 1975年调查中测量。社会经济和生活方式协变量来自所有四项调查中发放的问卷。几乎所有死亡均通过死亡证明核实。
由于寿命末期老年人BMI急剧下降导致的偏差(晚年偏差),死亡风险与基线BMI曲线的形状有所不同。在一项特定分析中,基线时BMI低于年龄匹配的截尾受试者的已故老年人在受试者中的比例表明了偏差的大小,且似乎是直接原因。有力证据支持直接原因就是实际原因。仅在有限情况下,排除早期随访期间的死亡才能消除晚年偏差。将成年期平均BMI用作死亡预测指标并将基线BMI用作协变量,在消除晚年偏差方面非常有效。它似乎还消除了反向因果关系和回归稀释偏差,并且在所有测试分析中,死亡风险与成年期平均BMI曲线均呈现出稳健的正相关。
如果将基线BMI用作协变量,成年期平均BMI似乎是死亡风险的合适预测指标。在非老年人中,越瘦意味着死亡风险越低,直至研究中最瘦的类别——<20 kg/m²。未来关于死亡率与BMI关系的生存分析应考虑回归稀释、反向因果关系和晚年偏差的影响。