Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status

Slootmaker, Sander M.; Schuit, Albertine J.; Chinapaw, Mai J. M.; Seidell, Jacob C.; Mechelen, Willem van

doi:10.1186/1479-5868-6-17

Cited by 245 publications

(229 citation statements)

References 33 publications

(27 reference statements)

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“…Objective measures of energy expenditure (for example, accelerometer or doubly labeled water, a technique, which uses the naturally occurring stable isotopes of water to assess energy expenditure) or energy intake (for example, direct observation) are more accurate and less subject to reporting bias as compared with self-reports based on participant recall. 73,74 Only 1 study used an objective measure of energy intake 51 while 11 studies used objective measures of energy expenditure. Nevertheless, there is a paucity of studies using objective measures across multiple nationally representative samples, especially for physical activity.…”

Section: Discussionmentioning

confidence: 99%

Relative contribution of energy intake and energy expenditure to childhood obesity: a review of the literature and directions for future research

Bleich

Wang³

2010

Int J Obes

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Background: Understanding the relative importance of overconsumption and physical inactivity to excess weight gain among children and adolescents can contribute to the development and evaluation of interventions and policies to reduce childhood obesity. However, whether energy intake or expenditure is the dominant contributor to childhood obesity is a subject of debate. To date, no study has systematically reviewed the literature on this subject. Methods: We searched PubMed and Ovid Medline (January 1970 to January 2010) for potentially relevant English-language abstracts and obtained full-text articles for the abstracts, which passed the initial inclusion-exclusion criteria. Reference lists of full-length articles were hand searched to identify additional studies potentially relevant for inclusion. Relevant studies were characterized into one of the following three categories: cross-sectional studies with a nationally representative sample, crosssectional studies among population subgroups and longitudinal studies.Results: This review identified 26 studies examining factors related to energy intake, energy expenditure and obesity among children and adolescents. Cross-sectional and longitudinal studies suggest that the primary determinant of energy imbalance at both the population and the individual levels is not definitive. Our findings further suggest that there is wide variation in data quality between studies. Future research in this area should aim to improve the accuracy of measures of energy intake, expenditure and their net balance over time; capitalize on under-utilized, non-traditional data sources, which have not been widely used; use modeling techniques to synthesize studies of shorter follow-up period and different outcome measures; and examine the unique determinants of energy imbalance among demographic groups at higher risk for obesity. Conclusions: On the basis of the current evidence, there is no consensus on the main driver of secular trends on weight gain among US children and adolescents. More research and better methods are needed to identify the relative contribution of energy intake and energy expenditure to obesity in the pediatric population.

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Section: Discussionmentioning

confidence: 99%

Relative contribution of energy intake and energy expenditure to childhood obesity: a review of the literature and directions for future research

Bleich

Wang³

2010

Int J Obes

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“…Therefore, responses could have been biased by social desirability or participants' tendency to report practicing PA more than they really do. Regarding this later issue, recent studies have shown that individuals indeed tend to indicate that they have engaged in more PA when asked to self-report than when their behavior is evaluated with an objective measure, such as an accelerometer (Dyrstad, Hansen, Holme, & Anderssen, 2014;Slootmaker, Schuit, Chinapaw, Seidell, & van Mechelen, 2009;Tucker, Welk, & Beyler, 2011). Future research should thus consider supplying self-reported measures of PA practice with objective tools, such as accelerometers.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior

Castonguay

Miquelon

2017

Health Psychology and Behavioral Medicine

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Using self-determination theory, the aim of this study was to examine motivational profiles toward physical activity among adults with type 2 diabetes and how these profiles predict physical activity. In total, 381 adults with type 2 diabetes (188 or 49.3% women, M age = 61.39, SD = 7.29) completed a questionnaire assessing their physical activity motivation and behavior. First, results of a multiple regression analysis showed that intrinsic and identified motives were positively associated with leisure-time physical activity over the past three months while results of a multivariate analysis of covariance revealed that higher levels of intrinsic and identified motives were associated with observing physical activity recommendations for type 2 diabetes (i.e. practicing 150 min of moderate to vigorous physical activity per week). Then, results of a cluster analysis distinguished four distinct motivational profiles: selfdetermined, controlled, moderate, and non-self-determined. Participants reporting the highest physical activity participation level and observing physical activity recommendations were more likely to present a self-determined profile. The present study highlights the benefits of using both a variable-centered and a motivational profile approach. They also highlight the importance of examining the type of motivation associated with physical activity practice among adults with type 2 diabetes since autonomous forms of motivation positively influence both the frequency of leisure-time physical activity and the observance of physical activity recommendations for type 2 diabetes. ARTICLE HISTORY

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“…The main drawback of self-reported PA is that participants tend to overestimate their PA amounts and intensity and often as a consequence are misclassified as meeting recommended PA guidelines [15,16,17,18,19]. Considering this limitation, some studies have shown moderate agreement between subjective and objective measurement methods of PA [20,21,22,23]. Furthermore, this study was not concerned with the assessment of participant PA amounts.…”

Section: Discussionmentioning

confidence: 99%

Physical Activity Mode and Survival in U.S. Adults

Hart¹

2017

AJAMS

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Purpose: The purpose of this study was to examine the protective effects of different modes of physical activity (PA) on all-cause mortality in adults. Methods: Data for this research came from the 2001-2002 National Health and Nutrition Examination Survey (NHANES). Participants 18+ years of age who were eligible for mortality linkage were used in the analysis. Different modes of PA were determined from a series of questions asking respondents if they participated in transportation (TPA), home/yard (HPA), moderate recreational (MPA), vigorous recreational (VPA), or muscle strengthening (MSPA) physical activity. Those respondents answering "yes" to either question were considered participating in that PA mode. Cox proportional hazards regression was used to model the effects of PA mode on mortality while controlling for age, sex, race, and income. Results: Adults were at less risk of mortality if they participated in TPA (Hazard Ratio (HR) =0.72, 95% CI: 0.57, 0.90), HPA (HR=0.43, 95% CI: 0.33-0.55), VPA (HR=0.30, 95% CI: 0.23-0.38), MPA (HR=0.53, 95% CI: 0.45-0.62), and MSPA (HR=0.44, 95% CI: 0.32-0.60). The adjusted model showed a 24.0% decrease in mortality (HR=0.76, 95% CI: 0.67-0.85) for each additional PA mode adopted. Conclusions: Results from this study indicate that various types of PA protect adults from all-cause mortality. Additionally, a dose-response relationship exists between the number of PA modes adopted and risk of mortality.

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Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status

Abstract: Background: The purpose of this study is to compare self-reported time (by questionnaire) and objectively measured time (by accelerometer) spent on physical activity at moderate (MPA) and vigorous intensity (VPA) in subgroups of age, gender, education and weight status.

Cited by 245 publications

References 33 publications

Relative contribution of energy intake and energy expenditure to childhood obesity: a review of the literature and directions for future research

Relative contribution of energy intake and energy expenditure to childhood obesity: a review of the literature and directions for future research

Motivational profiles for physical activity among adults with type 2 diabetes and their relationships with physical activity behavior

Physical Activity Mode and Survival in U.S. Adults

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