scholarly journals Accelerometer compared with questionnaire measures of physical activity in relation to body size and composition: a large cross-sectional analysis of UK Biobank

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e024206 ◽  
Author(s):  
Wenji Guo ◽  
Timothy J Key ◽  
Gillian K Reeves
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Lower Body ◽  
Uk Biobank ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Objectively Measured ◽  
Sectional Analysis

ObjectivesPrevious studies of the association between physical activity and adiposity are largely based on physical activity and body mass index (BMI) from questionnaires, which are prone to inaccurate and biased reporting. We assessed the associations of accelerometer-measured and questionnaire-measured physical activity with BMI, waist circumference and body fat per cent measured by bioelectrical impedance and dual-energy X-ray absorptiometry (DXA).DesignCross-sectional analysis of UK Biobank participants.SettingUK Biobank assessment centres.Participants78 947 UK Biobank participants (35 955 men and 42 992 women) aged 40–70 at recruitment, who had physical activity measured by both questionnaire and accelerometer.Main outcome measuresBMI, waist circumference and body fat per cent measured by bioelectrical impedance.ResultsGreater physical activity was associated with lower adiposity. Women in the top 10th of accelerometer-measured physical activity had a 4.8 (95% CI 4.6 to 5.0) kg/m2lower BMI, 8.1% (95% CI 7.8% to 8.3%) lower body fat per cent and 11.9 (95% CI 11.4 to 12.4) cm lower waist circumference. Women in the top 10th of questionnaire-measured physical activity had a 2.5 (95% CI 2.3 to 2.7) kg/m2lower BMI, 4.3% (95% CI 4.0% to 4.5%) lower body fat per cent and 6.4 (95% CI 5.9 to 6.9) cm lower waist circumference, compared with women in the bottom 10th. The patterns were similar in men and also similar to body fat per cent measured by DXA compared with impedance.ConclusionOur findings of approximately twofold stronger associations between physical activity and adiposity with objectively measured than with self-reported physical activity emphasise the need to incorporate objective measures in future studies.

scholarly journals Association between physical activity and body fat percentage, with adjustment for BMI: a large cross-sectional analysis of UK Biobank

BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e011843 ◽  
Author(s):  
Kathryn E Bradbury ◽  
Wenji Guo ◽  
Benjamin J Cairns ◽  
Miranda E G Armstrong ◽  
Timothy J Key
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Uk Biobank ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Objectively measured physical activity according to the periods of the day in the Pelotas Cohort

2020 ◽  
Vol 25 ◽  
pp. 1-10
Author(s):  
Andrea Wendt ◽  
Fernando C. Wehrmeister ◽  
Luiza I. C. Ricardo ◽  
Bruna Gonçalves C. da Silva ◽  
Rafaela C. Martins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Birth Cohort ◽  
Socioeconomic Position ◽  
Triaxial Accelerometer ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Objectively Measured ◽  
Sectional Analysis ◽  
Objectively Measured Physical Activity

This study aims to describe objectively measured physical activity (PA) in different periods of the day in young adults according to sex, socioeconomic position and during weekdays and weekends. This is a cross-sectional analysis carried out with the participants of the 1993 Pelotas Birth Cohort at 22 years. PA was assessed by triaxial accelerometer. Descriptive analyses were performed presenting the time spent on light PA (LPA) and bouted moderate to vigorous PA (MVPA) in different periods of the day (morning - 6am to 11:59 am, afternoon – 12pm to 7:59 pm and night – 8pm to 11:59pm). The present study included 2,766 individuals (48.2% male and 51.8% female). LPA was higher among women, while bouted MVPA levels were higher among men. The median of  PA was higher on weekdays compared to weekends for all intensities. The bouted MVPA medians in the morning and at night were zero minutes for all days and both sexes. The richest group presented a higher percentage of individuals with zero minutes. PA may vary according to different periods of the day and intensity. The absence of PA practice was markedly influenced by sex and socioeconomic position.

scholarly journals Physical activity of UK adults with chronic disease: cross-sectional analysis of accelerometer-measured physical activity in 96 706 UK Biobank participants

2019 ◽  
Author(s):  
Joseph Barker ◽  
Karl Smith Byrne ◽  
Aiden Doherty ◽  
Charlie Foster ◽  
Kazem Rahimi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Confidence Interval ◽  
Chronic Diseases ◽  
Physical Inactivity ◽  
Moderate Activity ◽  
Uk Biobank ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background Physical inactivity is associated with an increased risk of major chronic diseases, although uncertainty exists about which chronic diseases, themselves, might contribute to physical inactivity. The objective of this study was to compare the physical activity of those with chronic diseases to healthy individuals using an objective measure of physical activity. Methods We conducted a cross-sectional analysis of data from 96 706 participants aged 40 years or older from the UK Biobank prospective cohort study (2006–10). Diagnoses were identified through ICD 9 and 10 coding within hospital admission records and a cancer registry linked to UK Biobank participants. We extracted summary physical activity information from participants who wore a wrist-worn triaxial accelerometer for 7 days. Statistical analyses included computation of adjusted geometric means and means using general linear models. Results Participants with chronic disease undertook 9% or 61 minutes (95% confidence interval: 57.8–64.8) less moderate activity and 11% or 3 minutes (95% confidence interval: 2.7–3.3) less vigorous activity per week than individuals without chronic disease. Participants in every chronic-disease subgroup undertook less physical activity than those without chronic disease. Sixty-seven diagnoses within these subgroups were associated with lower moderate activity. Conclusions The cross-sectional association of physical activity with chronic disease is broad. Given the substantial health benefits of being physically active, clinicians and policymakers should be aware that their patients with any chronic disease are at greater health risk from other diseases than anticipated because of their physical inactivity.

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