Evaluation of Latent Models Assessing Physical Fitness and the Healthy Eating Index in Community Studies: Time-, Sex-, and Diabetes-Status Invariance

Nutrients

Rupinder Dhaliwal¹  Caroline Rheaume²  Doug Klein³  Dawna Royall⁴  Scott B. Maitland⁴  Paula Brauer⁴  David M. Mutch⁵  Angelo Tremblay⁶  Khursheed Jeejeebhoy⁷ 

[1] Canadian Nutrition Society, Ottawa, ON K1C 6A8, Canada;Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada;Department of Family Medicine, University of Alberta, Edmonton, AB T6G 1C9, Canada;Department of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada;Department of Human and Health Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada;Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec City, QC G1V 0A6, Canada;Departments of Nutritional Sciences and Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada;

关键词: physical fitness;    diet quality;    factor analysis;    structural equation modeling;    measurement equivalence/invariance;    metabolic syndrome;   

DOI  :  10.3390/nu13124258

来源: DOAJ

【 摘 要 】

Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate that the tests/measurements perform equally well and measure the same underlying constructs across groups and over time. Using structural equation modeling, the measurement properties (stability and responsiveness) of intervention measures used in a study of metabolic syndrome (MetS) treatment in primary care offices, were assessed. The primary study (N = 293; mean age = 59 years) had achieved 19% reversal of MetS overall; yet neither diet quality nor aerobic capacity were correlated with declines in cardiovascular disease risk. Factor analytic methods were used to develop measurement models and factorial invariance were tested across three time points (baseline, 3-month, 12-month), sex (male/female), and diabetes status for the Canadian Healthy Eating Index (2005 HEI-C) and several fitness measures combined (percentile VO₂ max from submaximal exercise, treadmill speed, curl-ups, push-ups). The model fit for the original HEI-C was poor and could account for the lack of associations in the primary study. A reduced HEI-C and a 4-item fitness model demonstrated excellent model fit and measurement equivalence across time, sex, and diabetes status. Increased use of factor analytic methods increases measurement precision, controls error, and improves ability to link interventions to expected clinical outcomes.

【 授权许可】

Unknown