Elizabeth Teas1, Jay Kimiecik2, Rose Marie Ward2, Kyle Timmerman2. 1. Department of Human Development and Family Studies, Purdue University, West Lafayette, IN; Center for Aging and the Life Course, Purdue University, West Lafayette, IN. Electronic address: eteas@purdue.edu. 2. Department of Kinesiology, Nutrition, and Health, Miami University, Oxford, OH.
Abstract
OBJECTIVE: Examine whether exercise and diet motivation are associated with 4 biomarkers related to cardiovascular disease. DESIGN: Cross-sectional analysis. Data collection involved questionnaires, blood draws, body composition assessments, and accelerometry. SETTING: Small, midwestern college town. PARTICIPANTS: 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). VARIABLES MEASURED: 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. ANALYSIS: 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. RESULTS: 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. CONCLUSIONS AND IMPLICATIONS: 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.
OBJECTIVE: Examine whether exercise and diet motivation are associated with 4 biomarkers related to cardiovascular disease. DESIGN: Cross-sectional analysis. Data collection involved questionnaires, blood draws, body composition assessments, and accelerometry. SETTING: Small, midwestern college town. PARTICIPANTS: 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). VARIABLES MEASURED: 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. ANALYSIS: 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. RESULTS: 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. CONCLUSIONS AND IMPLICATIONS: 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.
Authors: Jenny van Dongen; P Eline Slagboom; Harmen H M Draisma; Nicholas G Martin; Dorret I Boomsma Journal: Nat Rev Genet Date: 2012-07-31 Impact factor: 53.242
Authors: Scott M Grundy; Neil J Stone; Alison L Bailey; Craig Beam; Kim K Birtcher; Roger S Blumenthal; Lynne T Braun; Sarah de Ferranti; Joseph Faiella-Tommasino; Daniel E Forman; Ronald Goldberg; Paul A Heidenreich; Mark A Hlatky; Daniel W Jones; Donald Lloyd-Jones; Nuria Lopez-Pajares; Chiadi E Ndumele; Carl E Orringer; Carmen A Peralta; Joseph J Saseen; Sidney C Smith; Laurence Sperling; Salim S Virani; Joseph Yeboah Journal: Circulation Date: 2018-11-10 Impact factor: 29.690
Authors: Johan Y Y Ng; Nikos Ntoumanis; Cecilie Thøgersen-Ntoumani; Edward L Deci; Richard M Ryan; Joan L Duda; Geoffrey C Williams Journal: Perspect Psychol Sci Date: 2012-07