Department of Human Development and Family Studies, Purdue University, West Lafayette, IN; Center for Aging and the Life Course, Purdue University, West Lafayette, IN.
Department of Kinesiology, Nutrition, and Health, Miami University, Oxford, OH.
J Nutr Educ Behav. 2022 May;54(5):412-421. doi: 10.1016/j.jneb.2022.01.010.
Examine whether exercise and diet motivation are associated with 4 biomarkers related to cardiovascular disease.
Cross-sectional analysis. Data collection involved questionnaires, blood draws, body composition assessments, and accelerometry.
Small, midwestern college town.
Community older adults (≥ 58 years of age; n = 79) recruited through convenience sampling; the sample was representative of the population of interest for some demographic characteristics (eg, age and sex) but not representative of other characteristics (eg, level of activity).
Independent variables comprised self-reported intrinsic exercise motivation (Behavioral Regulation for Exercise Questionnaire-3) and intuitive eating (Intuitive Eating Scale-2). Dependent variables included inflammatory proteins (C-reactive protein and interleukin-6) and lipid levels (low-density lipoprotein/high-density lipoprotein and triglycerides) quantified from blood samples. Covariates included age, body mass index, sex, and objective physical activity measured by accelerometers worn for 7 days.
Multiple linear regression was used to assess the association between diet and exercise motivation and biomarker outcomes; we analyzed 4 regression models (1 for each biomarker). Significance level P < 0.05.
Greater intuitive eating was associated with a lower low-density lipoprotein/high-density lipoprotein ratio (β = -0.45, P = 0.001) and lower triglycerides (β = -0.37, P = 0.003). Intrinsic exercise motivation was not associated with the biomarkers.
Intuitive eating may be a key determinant of certain biomarkers and could be a viable target for interventions to help decrease the risk of cardiovascular disease among older adults.
研究运动和饮食动机与 4 种心血管疾病相关生物标志物之间的关系。
横断面分析。数据收集包括问卷调查、血液采集、身体成分评估和加速度计测量。
中西部小镇的社区。
通过便利抽样招募的社区老年人（≥58 岁；n=79）；该样本在某些人口统计学特征（如年龄和性别）上代表了感兴趣的人群，但在其他特征（如活动水平）上不具有代表性。
自变量包括自我报告的内在运动动机（运动行为调节问卷-3）和直觉饮食（直觉饮食量表-2）。因变量包括从血液样本中量化的炎症蛋白（C 反应蛋白和白细胞介素-6）和血脂水平（低密度脂蛋白/高密度脂蛋白和甘油三酯）。协变量包括年龄、体重指数、性别和通过佩戴 7 天的加速度计测量的客观体力活动。
使用多元线性回归评估饮食和运动动机与生物标志物结果之间的关系；我们分析了 4 个回归模型（每个生物标志物一个）。显著性水平 P<0.05。
直觉饮食与较低的低密度脂蛋白/高密度脂蛋白比值（β=-0.45，P=0.001）和较低的甘油三酯（β=-0.37，P=0.003）相关。内在运动动机与生物标志物无关。
直觉饮食可能是某些生物标志物的关键决定因素，并且可能是针对干预措施的可行目标，以帮助降低老年人患心血管疾病的风险。
