J.P. Goode, K.J. Smith, M. Breslin, M. Kilpatrick, T. Dwyer, A.J. Venn, C.G. Magnussen
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The median follow-up duration was 13 years. The cumulative average intake of each food group was calculated to reflect habitual consumption. Insulin sensitivity (%) was estimated from fasting glucose and insulin concentrations at CDAH-3 (aged 39–49 years) using homeostasis model assessment. Applying the partition model<span>(2)</span>, we simulated the replacement of one food group with another by including both in the model simultaneously (e.g., red meat and legumes), along with potential confounders and energy intake. The difference between parameter estimates (i.e., regression coefficients and variances) and their covariance were used to estimate the “substitution” effect. We report the simulated percentage point change in log-transformed insulin sensitivity for a 1 serve/day lower intake of one food group with a 1 serve/day higher intake of another food group. Replacing red meat with a combination of plant-based alternatives was associated with higher insulin sensitivity (<span>β</span> = 0·10, 95% CI 0·04–0·16). Adjustment for waist circumference attenuated this association by 61·4%. On an individual basis, replacing red meat with legumes (<span>β</span> = 0·12, 95% CI 0·02–0·21), nuts and seeds (<span>β</span> = 0·15, 95% CI 0·06–0·23), or whole grains (<span>β</span> = 0·11, 95% CI 0·04–0·17) was likewise associated with higher insulin sensitivity. Point estimates were similar when replacing processed meat with plant-based alternatives, but more uncertain due to wide confidence intervals. Our modelling suggests that habitually replacing red meat, and possibly processed meat, with plant-based alternatives may associate with higher insulin sensitivity, and thus, a lower risk of type 2 diabetes. Abdominal adiposity was identified as a potentially important mediator in this relationship. 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引用次数: 0
摘要
出于健康和环境方面的考虑,膳食指南越来越多地提倡植物性膳食、限制红肉消费和植物性蛋白质来源(1)。目前还不清楚由此产生的食物替代如何与胰岛素抵抗(2 型糖尿病的风险因素)相关联。在此,我们模拟了用植物性替代品替代红肉和加工肉类的情况,以及对胰岛素敏感性的估计影响。我们的研究对象包括 783 名参与者(55% 为女性),他们来自澳大利亚人口队列 "成人健康的童年决定因素"(CDAH)研究。成年后,我们在三个时间点使用食物频率问卷对饮食进行了评估:CDAH-1(2004-06年)、CDAH-2(2009-11年)和CDAH-3(2017-19年)。随访时间的中位数为 13 年。每组食物的累计平均摄入量被计算出来,以反映习惯性消费。胰岛素敏感性(%)是根据 CDAH-3(39-49 岁)的空腹血糖和胰岛素浓度,利用稳态模型评估估算得出的。应用分区模型(2),我们模拟了用一种食物组替代另一种食物组的情况,即同时将两种食物组(如红肉和豆类)以及潜在的混杂因素和能量摄入量纳入模型。参数估计值之间的差异(即回归系数和方差)及其协方差用于估算 "替代 "效应。我们报告了对数转换后的胰岛素敏感性的模拟百分点变化,即一种食物组的摄入量减少 1 份/天,另一种食物组的摄入量增加 1 份/天。用植物替代品组合取代红肉与胰岛素敏感性升高有关(β = 0-10,95% CI 0-04-0-16)。根据腰围进行调整后,这种相关性降低了 61-4%。就个体而言,用豆类(β = 0-12,95% CI 0-02-0-21)、坚果和种子(β = 0-15,95% CI 0-06-0-23)或全谷物(β = 0-11,95% CI 0-04-0-17)代替红肉同样与较高的胰岛素敏感性有关。用植物替代品替代加工肉类时,点估算值相似,但由于置信区间较宽,不确定性较大。我们的建模结果表明,习惯性地用植物性替代品代替红肉,也可能代替加工肉类,可能与较高的胰岛素敏感性有关,从而降低了罹患 2 型糖尿病的风险。在这种关系中,腹部肥胖可能是一个重要的中介因素。关于胰岛素敏感性,我们的研究结果支持选择植物性蛋白质来源而减少红肉摄入量的建议。
Modelling the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity in a cohort of Australian adults
Dietary guidelines are increasingly promoting plant-based diets, limits on red meat consumption, and plant-based sources of protein for health and environmental reasons(1). It is unclear how the resulting food substitutions associate with insulin resistance, a risk factor for type 2 diabetes. Here, we modelled the replacement of red and processed meat with plant-based alternatives and the estimated effect on insulin sensitivity. We included 783 participants (55% female) from the Childhood Determinants of Adult Health (CDAH) study, a population-based cohort of Australians. In adulthood, diet was assessed at three time points using food frequency questionnaires: CDAH-1 (2004–06), CDAH-2 (2009–11), and CDAH-3 (2017–19). The median follow-up duration was 13 years. The cumulative average intake of each food group was calculated to reflect habitual consumption. Insulin sensitivity (%) was estimated from fasting glucose and insulin concentrations at CDAH-3 (aged 39–49 years) using homeostasis model assessment. Applying the partition model(2), we simulated the replacement of one food group with another by including both in the model simultaneously (e.g., red meat and legumes), along with potential confounders and energy intake. The difference between parameter estimates (i.e., regression coefficients and variances) and their covariance were used to estimate the “substitution” effect. We report the simulated percentage point change in log-transformed insulin sensitivity for a 1 serve/day lower intake of one food group with a 1 serve/day higher intake of another food group. Replacing red meat with a combination of plant-based alternatives was associated with higher insulin sensitivity (β = 0·10, 95% CI 0·04–0·16). Adjustment for waist circumference attenuated this association by 61·4%. On an individual basis, replacing red meat with legumes (β = 0·12, 95% CI 0·02–0·21), nuts and seeds (β = 0·15, 95% CI 0·06–0·23), or whole grains (β = 0·11, 95% CI 0·04–0·17) was likewise associated with higher insulin sensitivity. Point estimates were similar when replacing processed meat with plant-based alternatives, but more uncertain due to wide confidence intervals. Our modelling suggests that habitually replacing red meat, and possibly processed meat, with plant-based alternatives may associate with higher insulin sensitivity, and thus, a lower risk of type 2 diabetes. Abdominal adiposity was identified as a potentially important mediator in this relationship. In relation to insulin sensitivity, our findings support the recommendation to choose plant-based sources of protein at the expense of red meat consumption.
期刊介绍:
Proceedings of the Nutrition Society publishes papers and abstracts presented by members and invited speakers at the scientific meetings of The Nutrition Society. The journal provides an invaluable record of the scientific research currently being undertaken, contributing to ''the scientific study of nutrition and its application to the maintenance of human and animal health.'' The journal is of interest to academics, researchers and clinical practice workers in both human and animal nutrition and related fields.