Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Department of Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
Am J Clin Nutr. 2022 Jan 11;115(1):180-188. doi: 10.1093/ajcn/nqab303.
It is unknown whether behavioral interventions to improve diet are effective in people with a genetic predisposition to obesity.
To examine associations between BMI genetic risk and changes in weight and workplace purchases by employees participating in a randomized controlled trial of an automated behavioral workplace intervention to promote healthy food choices.
Participants were hospital employees enrolled in a 12-mo intervention followed by a 12-mo follow-up. Hospital cafeterias utilized a traffic-light labeling system (e.g., green = healthy, red = unhealthy) that was used to calculate a validated Healthy Purchasing Score (HPS; higher = healthier). A weighted genome-wide BMI genetic score was generated by summing BMI-increasing alleles.
The study included 397 adults of European ancestry (mean age, 44.9 y; 80.9% female). Participants in the highest genetic quartile (Q4) had a lower HPS and higher purchases of red-labeled items relative to participants in the lowest quartile (Q1) at baseline [Q4-Q1 Beta HPS, -4.66 (95% CI, -8.01 to -1.32); red-labeled items, 4.26% (95% CI, 1.45%-7.07%)] and at the 12-mo [HPS, -3.96 (95% CI, -7.5 to -0.41); red-labeled items, 3.20% (95% CI, 0.31%-6.09%)] and 24-mo [HPS, -3.70 (95% CI, -7.40 to 0.00); red-labeled items, 3.48% (95% CI, 0.54%-6.41%)] follow-up periods. In the intervention group, increases in HPS were similar in Q4 and Q1 at 12 mo (Q4-Q1 Beta, 1.04; 95% CI, -2.42 to 4.50). At the 24-mo follow-up, the change in BMI from baseline was similar between Q4 and Q1 (0.17 kg/m2; 95% CI, -0.55 to 0.89 kg/m2) in the intervention group, but higher in Q4 than Q1 (1.20 kg/m2; 95% CI, 0.26-2.13 kg/m2) in the control group. No interaction was evident between the treatment arm and genetic score for BMI or HPS.
Having a high BMI genetic risk was associated with greater increases in BMI and lower quality purchases over 2 y. The 12-mo behavioral intervention improved employees' food choices, regardless of the genetic burden, and may have attenuated weight gain conferred by having the genetic risk.
目前尚不清楚改善饮食的行为干预措施是否对肥胖易感性人群有效。
通过参与一项自动化行为性工作场所干预措施的随机对照试验,检测体重指数(BMI)遗传风险与员工体重和工作场所购买量变化之间的关联,该试验旨在促进健康食品选择。
研究对象为参加为期 12 个月的干预措施和 12 个月随访的医院员工。医院自助餐厅采用了红绿灯标签系统(例如,绿色=健康,红色=不健康),该系统用于计算经过验证的健康购买得分(HPS;分数越高表示越健康)。通过累加 BMI 增加等位基因,生成加权全基因组 BMI 遗传评分。
该研究纳入了 397 名欧洲裔成年人(平均年龄 44.9 岁;80.9%为女性)。与最低四分位数(Q1)相比,遗传四分位数(Q4)最高的参与者在基线时 HPS 较低,红色标签食品的购买量较高[Q4-Q1 HPS,-4.66(95% CI,-8.01 至-1.32);红色标签食品,4.26%(95% CI,1.45%至 7.07%)],在 12 个月[HPS,-3.96(95% CI,-7.5 至-0.41);红色标签食品,3.20%(95% CI,0.31%至 6.09%)]和 24 个月[HPS,-3.70(95% CI,-7.40 至 0.00);红色标签食品,3.48%(95% CI,0.54%至 6.41%)]随访期间也如此。在干预组中,Q4 和 Q1 在 12 个月时的 HPS 增加相似(Q4-Q1 Beta,1.04;95% CI,-2.42 至 4.50)。在 24 个月的随访中,与 Q1 相比,Q4 的 BMI 从基线的变化相似(0.17 kg/m2;95% CI,-0.55 至 0.89 kg/m2),但 Q4 的 BMI 变化大于 Q1(1.20 kg/m2;95% CI,0.26 至 2.13 kg/m2)。BMI 或 HPS 的遗传评分与治疗臂之间没有明显的交互作用。
BMI 遗传风险较高与 2 年内 BMI 增加和购买质量下降有关。为期 12 个月的行为干预措施改善了员工的食物选择,无论遗传负担如何,都可能减轻了具有遗传风险所带来的体重增加。