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Cardiovascular and Lifestyle Factors Influencing the Metabolic Syndrome in Overweight and Obese Participants of a Randomised Clinical Trial
Author(s) -
Tapsell Linda,
Humphries Allison,
Neale Elizabeth,
Batterham Marijka
Publication year - 2016
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.30.1_supplement.907.1
Subject(s) - medicine , metabolic syndrome , framingham risk score , overweight , logistic regression , context (archaeology) , bayesian multivariate linear regression , physical therapy , obesity , disease , demography , linear regression , paleontology , machine learning , sociology , computer science , biology
Background Identifying individuals most at risk of developing metabolic syndrome (MetS) and therefore cardiovascular disease (CVD) is informative for disease prevention in the primary healthcare context. Methods This is a secondary analysis of baseline data on participants in a healthy lifestyle clinical trial (the HealthTrack study). Participants were community volunteers aged 25–54 years with a BMI 25–40kg/m 2 . Measurements included MetS [ 1 ], cardiovascular disease (CVD) [ 2 ] and coronary heart disease (CHD) risk [ 3 ], weight, % body fat, dietary intake, ankle brachial index (ABI), physical activity, socio‐economic position and psychological profile. Backward stepwise linear regression was used to assess association of lifestyle factors with presence of MetS and linear regression was used to examine the association between MetS and risk of CVD, CHD and ABI. The study is registered with the Australian and New Zealand Clinical Trial Registry (ANZCTRN12614000581662). Results 373 participants were included in the analysis with 130 (34.9%) being categorised as having MetS at baseline. The multivariate logistic regression analysis demonstrated that the baseline covariates that were significantly and positively associated with the presence of metabolic syndrome were being male (coefficient 0.52, p=0.04), higher BMI (coefficient 1.26, p=0.00) and older age (coefficient 1.08, p=0.00). All other covariates dropped out of the multivariate regression. Data were available on 351 participants for assessment of Framingham risk. Participants with MetS at baseline had a 4.37% increase in CVD risk and were 7.8 times more likely to be at moderate risk of CHD than those without MetS. However MetS was not predictive of peripheral artery disease. Conclusions By studying overweight and obese volunteers for a healthy lifestyle intervention trial we confirmed that those most likely to develop MetS are older, overweight males and those with MetS have a higher risk of developing CVD. Primary healthcare preventative programs may need to target this population. Support or Funding Information This study was funded by the Illawarra Health and Medical Research Institute and the California Walnut Commission. The funding bodies were not involved in the analysis and interpretation of data, or writing of the report. Illawarra Health and Medical Research Institute facilities were used for conducting the study, including the collection of data.