Division of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
Division of Public Health Sciences, Fred Cancer Research Center, Seattle, WA, USA.
J Nutr. 2022 Nov;152(11):2493-2504. doi: 10.1093/jn/nxac068. Epub 2022 Mar 15.
Studies of diet and chronic disease include a recent important focus on dietary patterns. Patterns are typically defined by listing dietary variables and by totaling scores that reflect whether consumption is encouraged or discouraged for listed variables. However, precision may be improved by including total energy consumption among the dietary variables and by scoring dietary variables empirically.
To relate Healthy Eating Index (HEI)-2010 components and total energy intake to all-cause and cause-specific mortality in Women's Health Initiative (WHI) cohorts and to define and evaluate an associated Empirical-Scores Healthy Eating Index (E-HEI).
Analyses are conducted in WHI cohorts (n = 67,247) of healthy postmenopausal women, aged 50-79 y, when enrolled during 1993-1998 at 40 US clinical centers, with embedded nutrition biomarker studies. Replicate food-frequency assessments for HEI-2010 ratio variables and doubly labeled water total energy assessments, separated by ∼6 mo, are used as response variables to jointly calibrate baseline dietary data to reduce measurement error influences, using 2 nutrition biomarker studies (n = 199). Calibrated dietary variables are associated with mortality risk, and an E-HEI is defined, using cross-validated HR regression estimation.
Of 15 dietary variables considered, all but empty calories calibrated well. Ten variables related significantly (P < 0.05) to total mortality, with favorable fruit, vegetable, whole grain, refined grain, and unsaturated fat associations and unfavorable sodium, saturated fat, and total energy associations. The E-HEI had cross-validated total mortality HRs (95% CIs) of 0.87 (0.82, 0.93), 0.80 (0.76, 0.86), 0.77 (0.72, 0.82), and 0.74 (0.69, 0.79) respectively, for quintiles 2 through 5 compared with quintile 1. These depart more strongly from the null than do HRs for HEI-2010 quintiles, primarily because of total energy.
Mortality among US postmenopausal women depends strongly on diet, as evidenced by a new E-HEI that differs substantially from earlier dietary pattern score specifications.
饮食与慢性病的研究近期特别关注饮食模式。这些模式通常通过列出饮食变量并对反映所列出变量的鼓励或限制消费的分数进行汇总来定义。然而,通过在饮食变量中纳入总能量摄入并根据经验对饮食变量进行评分,可以提高精确性。
将健康饮食指数(HEI)-2010 成分和总能量摄入与妇女健康倡议(WHI)队列中的全因和特定原因死亡率相关联,并定义和评估相关的经验评分健康饮食指数(E-HEI)。
在 WHI 队列(n=67247)中进行分析,这些队列由健康的绝经后妇女组成,年龄在 50-79 岁之间,于 1993-1998 年在美国 40 个临床中心入组时进行,同时进行嵌入式营养生物标志物研究。使用来自 2 项营养生物标志物研究的重复食物频率评估(n=199),用于 HEI-2010 比值变量和双标记水总能量评估,两者之间间隔约 6 个月,以联合校准基线饮食数据,减少测量误差的影响。使用交叉验证 HR 回归估计,对校准后的饮食变量与死亡率风险进行关联,并定义 E-HEI。
在所考虑的 15 个饮食变量中,除空卡路里外,所有变量都校准得很好。10 个变量与总死亡率显著相关(P<0.05),与水果、蔬菜、全谷物、精制谷物和不饱和脂肪的摄入呈有利关联,与钠、饱和脂肪和总能量的摄入呈不利关联。E-HEI 的全因死亡率 HR(95%CI)在五分位数 2 到 5 与五分位数 1 相比分别为 0.87(0.82,0.93)、0.80(0.76,0.86)、0.77(0.72,0.82)和 0.74(0.69,0.79)。这些结果与 HEI-2010 五分位数的 HR 相比,与零值的偏离程度更大,这主要是因为总能量。
美国绝经后妇女的死亡率与饮食密切相关,这一点可以从新的 E-HEI 中得到证明,它与早期的饮食模式评分规范有很大的不同。