Associations between Physical Activity and Metabolic Syndrome: Comparison between Self-Report and Accelerometry

Abstract

Individuals who do not meet the PA guidelines exhibited greater odds of having metabolic syndrome. This relationship tended to be stronger for objective PA measures than for self-report.

Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study

“…We show that the association with successful ageing was more pronounced for MVPA assessed by accelerometer compared to questionnaire. Previous studies have also shown objective assessments of physical activity to be more strongly associated with metabolic syndrome45, biomarkers46 and obesity indicators37. Taken together these findings suggest that measurement error inherent to self-reported physical activity measures leads to misclassification, attenuating associations with health outcomes47.…”

Accelerometer-measured physical activity is not associated with two-year weight change in African-origin adults from five diverse populations

“…The nature of many common PA questionnaires lend themselves to significant over-reporting of daily PA levels (Atienza et al, 2011; Belcher et al, 2014; Schuna Jr et al, 2013; Tucker, Welk & Beyler, 2011; Tucker et al, 2015), as participants are asked to report domain-based PA levels (i.e., transport, occupation and leisure time), and inaccuracy can also arise because some questionnaires often request participants to only report PA when they engage in PA during periods of at least 10-mins. Due to the social desirability of portraying oneself as engaging in healthy behaviors, e.g., being physically active, survey participants often report higher than actual levels of healthful behaviors (Klesges et al, 2004; Phillips & Clancy, 1972), and this bias may differ according to sex, socio-economic status and other characteristics.…”

Measurement error modeling of physical activity data

“…use logistic regression to look at the probability of having MetS for a given level of usual activity (see for example, Tucker et al (2016) or Sisson et al (2010)). The results consistently say that those who exercise less have a higher probability for MetS.…”

“…Recall someone is defined as having MetS if she has a combination of high blood pressure, high blood sugar, high body fat-especially around the waist, and high (low) LDL (HDL) and triglyceride levels. There are fairly well established cut offs for what constitutes "high" levels for each of the previous measures (Tucker et al (2016)). And a common classifier is if one has at least three measures that are "high", then he is said to have…”

“…Lack of physical activity has been linked to cardiovascular disease (ODPHP (2017), Warburton et al (2006), Reiner et al (2013)), diabetes (ODPHP (2017), Warburton et al (2006), Reiner et al (2013)), cancer (ODPHP (2017), Warburton et al (2006)), hypertension (Warburton et al (2006)), osteoporosis (ODPHP (2017), Warburton et al (2006)), depression (ODPHP (2017), Warburton et al (2006)), obesity (Warburton et al (2006), Reiner et al (2013)), and Alzheimer's (Reiner et al (2013)). Tucker et al (2016), Sisson et al (2010), and Camhi et al (2011) all found strong relationships between lack of physical activity and Metabolic Syndrome (MetS). Metabolic syndrome is characterized by high levels of cholesterol, blood pressure, waist circumference, among others and MetS classifies individuals for being high risk for cardiovascular disease and type 2 diabetes.…”