Correlates of US adult physical activity and sedentary behavior patterns

Jones, Sydney; Wen, Fang; Herring, Amy H.; Evenson, Kelly R.

doi:10.1016/j.jsams.2016.03.009

Cited by 47 publications

(58 citation statements)

References 30 publications

(54 reference statements)

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“…The authors reported strong evidence for positive associations between physical activity and intrapersonal factors of health status, self‐efficacy, male gender, and education level, as well as negative associations between physical activity and body mass index (BMI) and age. Similar findings were reported by Rai et al () and Jones, Wen, Herring, and Evenson (). At the interpersonal level, social support has been positively associated with physical activity (Bauman et al, ; Smith, Banting, Eime, O’Sullivan, & van Uffelen, ; Thornton et al, ).…”

Section: Introductionsupporting

confidence: 91%

An investigation of physical activity among adults in Turkey using the Omaha System

Kaya

Seçginli

Olsen

2019

Public Health Nursing

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Objectives The aim of this study was to investigate the physical activity (PA) and associated factors among insufficiently active adults attending Family Health Centers in Istanbul, Turkey using the Omaha System. Design and Sample This descriptive‐correlational study guided by the Ecological Model for Health Promotion used a convenience sample of 335 Turkish adults with insufficient PA behavior defined as an Omaha System PA Behavior rating <4. Measurements Measures included Omaha System problems; Knowledge, Behavior, and Status ratings; demographics; and ecological factors operationalized with the Omaha System Problem Classification Scheme. Data were analyzed using chi‐square, independent t tests, and logistic regression. Results Participants were females (76.7%) and males (23.3%) with a mean age of 38.5 years. Almost half (43.6%) engaged in no appropriate PA Behavior. The most common Physiological, Psychosocial, and Environmental domain problem were oral health (61.2%), mental health (21.5%), and neighborhood/workplace safety (41.2%), respectively. Logistic regression revealed marital status, age, sex, and physiological and environmental domain problems significantly predicted PA behavior. Conclusions Interventions tailored to insufficiently active Turkish adults should include assessing for physiological health problems; targeting older, married adults; and advocating for policy change that supports the provision of safe, affordable, accessible, and culturally appropriate places for physical activity.

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Section: Introductionsupporting

confidence: 91%

An investigation of physical activity among adults in Turkey using the Omaha System

Kaya

Seçginli

Olsen

2019

Public Health Nursing

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“…Older age, female sex, history of chronic disease, and higher BMI were consistently associated with lower odds, and having better self-rated health and being employed were consistently associated with higher odds of being assigned into a more active compared with a less active class. 5 …”

Section: Discussionmentioning

confidence: 99%

“…This class was more likely to be older, have a higher education, need special equipment to walk, and have at least one of several health conditions (e.g., morbid obesity, diabetes, cardiovascular disease, cancer, emphysema). 5 Although deaths in the first 2 years of follow-up were excluded, reverse causality may still occur.…”

Section: Discussionmentioning

confidence: 99%

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Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality

Evenson

Herring²,

Wen

2017

American Journal of Preventive Medicine

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Introduction Latent class analysis provides a method for understanding patterns of physical activity and sedentary behavior. This study explored the association of accelerometer-assessed patterns of physical activity/sedentary behavior with all-cause mortality. Methods The sample included 4,510 U.S. National Health and Nutrition Examination Survey participants aged ≥ 40 years enrolled in 2003–2006 with mortality follow-up through 2011. Participants wore a hip-worn accelerometer for 1 week that provided minute-by-minute information on physical activity/sedentary behavior. Accelerometry patterns were derived using latent class analysis. Cox proportional hazards models provided adjusted hazard ratios with 95% CIs. Analyses were conducted from 2014 to 2016. Results During an average of 6.6 years of follow-up, 513 deaths occurred. For average counts/minute, the more-active classes had a lower risk of mortality compared with the lowest Class 1. Findings were generally similar for percentage of the day in minutes and bouts of moderate to vigorous physical activity, defined two ways. For percentage of the day in sedentary behavior, generally no associations were identified. However, the class with the highest percentage of the day in sedentary bouts (Class 1) had a higher risk of mortality (adjusted hazard ratio, 2.10; 95% CI=1.11, 3.97) versus the class with fewer sedentary bouts (Class 7). Conclusions In this national observational study, time spent in more physical activity reduced the risk of all-cause mortality and time spent in more sedentary bouts increased the risk of all-cause mortality, regardless of how both was accumulated. The latent class analysis contributed to understanding the impact of patterning of physical activity/sedentary behavior on mortality.

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“…As shown among nationally representative adult samples from 32 European countries, occupational SB may explain lower odds of being in less sedentary latent classes . Occupational and leisure‐time SB may have different health effects due to different patterns of sitting accumulation (eg, duration and repetitiveness) or the context in which SB occurs . Furthermore, recent studies have found that leisure‐time SB had stronger effects on cardiorespiratory and cardiometabolic health compared to occupational SB .…”

Section: Discussionmentioning

confidence: 98%

Patterns of accelerometer‐based sedentary behavior and their association with cardiorespiratory fitness in adults

Ullrich

Baumann

Voigt

et al. 2018

Scandinavian Med Sci Sports

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We aimed to identify patterns of sedentary behavior (SB) and examined whether cardiorespiratory fitness differs between classes with distinct patterns of SB. One hundred and seventy participants (57% women, mean age = 56.4 years) received accelerometry monitoring for 7 days. Prior to accelerometry assessment, cardiorespiratory fitness was assessed by peak oxygen uptake (VO ). VO was directly measured during a symptom-limited cardiopulmonary exercise testing on a cycle ergometer. Patterns in accelerometer data were classified based on time spent in SB per day using growth mixture modeling. Model-implied class-specific VO means were compared using adjusted equality test of means. Growth mixture modeling revealed four patterns of SB: "High, stable" (n = 120, M = 724.9 min/d), "Low, increase" (n = 14, M = 622.2 min/d), "Low, decrease" (n = 11, M = 540.2 min/d), and "High, decrease" (n = 25, M = 694.8 min/d). Persons in class "High, stable" had significantly lower VO values (M = 25.0 mL/kg/min, SD = 0.6) compared to persons in class "Low, increase" (M = 30.5 mL/kg/min, SD = 3.6; P = 0.001), in class "Low, decrease" (M = 30.1 mL/kg/min, SD = 5.0; P = 0.009), and in class "High, decrease" (M = 29.6 mL/kg/min, SD = 5.9; P = 0.032). No differences among the other classes were found. We identified four classes of individuals with distinct patterns of SB and showed that VO partially differs between classes. Especially, individuals with stable high SB levels throughout the week might be addressed in public health recommendations and interventions.

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Correlates of US adult physical activity and sedentary behavior patterns

Cited by 47 publications

References 30 publications

An investigation of physical activity among adults in Turkey using the Omaha System

An investigation of physical activity among adults in Turkey using the Omaha System

Accelerometry-Assessed Latent Class Patterns of Physical Activity and Sedentary Behavior With Mortality

Patterns of accelerometer‐based sedentary behavior and their association with cardiorespiratory fitness in adults

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