Dataset Information

Sedentary Behavior and Health: Update from the 2018 Physical Activity Guidelines Advisory Committee.

ABSTRACT: PURPOSE:To provide an overview of relationships between sedentary behavior and mortality as well as incidence of several noncommunicable diseases and weight status reported in the 2018 Physical Activity Guidelines Advisory Committee Scientific Report (2018 PAGAC Scientific Report), and to update the evidence from recent studies. METHODS:Evidence related to sedentary behavior in the 2018 PAGAC Scientific Report was summarized, and a systematic review was undertaken to identify original studies published between January 2017 and February 2018. RESULTS:The 2018 PAGAC Scientific Report concluded there was strong evidence that high amounts of sedentary behavior increase the risk for all-cause and cardiovascular disease (CVD) mortality and incident CVD and type 2 diabetes. Moderate evidence indicated sedentary behavior is associated with incident endometrial, colon and lung cancer. Limited evidence suggested sedentary behavior is associated with cancer mortality and weight status. There was strong evidence that the hazardous effects of sedentary behavior are more pronounced in physically inactive people. Evidence was insufficient to determine if bout length or breaks in sedentary behavior are associated with health outcomes. The new literature search yielded seven new studies for all-cause mortality, two for CVD mortality, two for cancer mortality, four for type 2 diabetes, one for weight status, and four for cancer; no new studies were identified for CVD incidence. Results of the new studies supported the conclusions in the 2018 PAGAC Scientific Report. CONCLUSIONS:The results of the updated search add further evidence on the association between sedentary behavior and health. Further research is required on how sex, age, race/ethnicity, socioeconomic status, and weight status may modify associations between sedentary behavior and health outcomes.

SUBMITTER: Katzmarzyk PT

PROVIDER: S-EPMC6527341 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Sedentary Behavior and Health: Update from the 2018 Physical Activity Guidelines Advisory Committee.

Katzmarzyk Peter T PT Powell Kenneth E KE Jakicic John M JM Troiano Richard P RP Piercy Katrina K Tennant Bethany B

Medicine and science in sports and exercise 20190601 6

<h4>Purpose</h4>To provide an overview of relationships between sedentary behavior and mortality as well as incidence of several noncommunicable diseases and weight status reported in the 2018 Physical Activity Guidelines Advisory Committee Scientific Report (2018 PAGAC Scientific Report), and to update the evidence from recent studies.<h4>Methods</h4>Evidence related to sedentary behavior in the 2018 PAGAC Scientific Report was summarized, and a systematic review was undertaken to identify orig ...[more]

PMID: 31095080

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Project description:INTRODUCTION:The purpose of this study was to examine the association between sedentary behavior (SB), cardiometabolic risk factors, and self-reported physical function by level of moderate-vigorous physical activity (MVPA). METHODS:Cross-sectional analysis was completed on 1914 older adults age ? 65 yr from the 2003-2006 U.S. National Health and Nutrition Examination Survey. MVPA and SB were derived from ActiGraph accelerometers worn for 1 wk. MVPA was categorized as sufficient to meet the current U.S. guidelines (? 150 min · wk(-1)) or not; SB was split into quartiles. Various biomarkers were examined in laboratory analyses and physical exams, and the number of functional limitations was self-reported. Statistical interaction between SB and MVPA on the biomarker associations was the primary analysis, followed by an examination of their independent associations with relevant covariate adjustment. RESULTS:Average SB was 9.4 ± 2.3 h · d(-1) (mean ± SD), and approximately 35% were classified as sufficiently active. Overall, no significant meaningful statistical interactions were found between SB and MVPA for any of the outcomes; however, strong independent positive associations were found between SB and weight (P < 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), C-reactive protein (P < 0.01), plasma glucose (P = 0.04), and number of functional limitations (P < 0.01) after adjustment for MVPA. Similarly, MVPA was negatively associated with weight (P = 0.01), body mass index (P < 0.01), waist circumference (P < 0.01), diastolic blood pressure (P = 0.04), C-reactive protein (P < 0.01), and number of functional limitations (P < 0.01) after adjustment for SB. CONCLUSIONS:The results suggest that sufficient MVPA did not ameliorate the negative associations between SB and cardiometabolic risk factors or functional limitations in the current sample and that there was independence on a multiplicative scale in their associations with the outcomes examined. Thus, older adults may benefit from the joint prescription to accumulate adequate MVPA and avoid prolonged sitting.

Project description:BackgroundUnderstanding patterns of physical activity and sedentary time is important to effective population-wide primary prevention and control of non-communicable diseases. This study examined the patterns of objectively assessed physical activity and sedentary time, and the prevalence of compliance with physical activity guidelines according to different public health recommendations in a sub-population of health professional students in Nigeria.MethodsA cross-sectional study was conducted among 102 health professional students (age = 19-34 years old, 43.1% women) of the University of Maiduguri, Nigeria. Participants wore Actigraph accelerometers on their waist for minimum of 5 days/week to objectively measure intensity and duration of physical activity and sedentary time. Prevalence and demographic patterns of physical activity and sedentary time were examined using descriptive and inferential statistics.ResultsThe students spent most time in sedentary activity (458.6 ± minutes/day, about 61% of daily time) and the least in vigorous-intensity activity (2.1 ± 4.4 minutes/day, about 0.3% of daily time). Sedentary time was higher among older than younger students (P<0.038) and among medical laboratory science students than physiotherapy and nursing students (P = 0.046). Total physical activity was higher among nursing and medical students than medical laboratory science students (P = 0.041). Although, 85.3% of the students engaged in 150 minutes/week of moderate-to-vigorous physical activity, only 2.9% met the guideline of 75 minutes/week of vigorous intensity activity.ConclusionsPrevalence of sedentary time was high while that of vigorous-intensity activity was very low among health professional students in Nigeria. Compliance with physical activity guidelines was mainly through accumulation of moderate intensity activity. The results suggest that age and academic programme may influence physical activity level and sedentary behaviour of health professional students in Nigeria. These findings provide preliminary evidence that could be used to inform the needs to develop interventions to improve and support active lifestyle behaviour among students in Nigerian universities.

Project description:PurposeThe study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers.MethodsAccelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7-13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and "other time" (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and "other time", and cardiometabolic biomarkers.ResultsConfounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and "other time", more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference.ConclusionAccumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.

Dataset Information

Sedentary Behavior and Health: Update from the 2018 Physical Activity Guidelines Advisory Committee.

Publications

Sedentary Behavior and Health: Update from the 2018 Physical Activity Guidelines Advisory Committee.

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