scholarly journals Habitual physical activity patterns in a nationally representative sample of U.S. adults

2020 ◽  
Author(s):  
Susan K Malone ◽  
Freda Patterson ◽  
Laura Grunin ◽  
Gail D Melkus ◽  
Barbara Riegel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Representative Sample ◽  
Clinical Characteristics ◽  
Activity Patterns ◽  
Low Frequency ◽  
Multiple Dimensions ◽  
Long Duration ◽  
Daily Frequency ◽  
Nationally Representative

Abstract Physical inactivity is a leading determinant of noncommunicable diseases. Yet, many adults remain physically inactive. Physical activity guidelines do not account for the multidimensionality of physical activity, such as the type or variety of physical activity behaviors. This study identified patterns of physical activity across multiple dimensions (e.g., frequency, duration, and variety) using a nationally representative sample of adults. Sociodemographic characteristics, health behaviors, and clinical characteristics associated with each physical activity pattern were defined. Multivariate finite mixture modeling was used to identify patterns of physical activity among 2003–2004 and 2005–2006 adult National Health and Nutrition Examination Survey participants. Chi-square tests were used to identify sociodemographic differences within each physical activity cluster and test associations between the physical activity clusters with health behaviors and clinical characteristics. Five clusters of physical activity patterns were identified: (a) low frequency, short duration (n = 730, 13%); (b) low frequency, long duration (n = 392, 7%); (c) daily frequency, short duration (n = 3,011, 55%); (d) daily frequency, long duration (n = 373, 7%); and (e) high frequency, average duration (n = 964, 18%). Walking was the most common form of activity; highly active adults engaged in more varied types of activity. High-activity clusters were comprised of a greater proportion of younger, White, nonsmoking adult men reporting moderate alcohol use without mobility problems or chronic health conditions. Active females engaged in frequent short bouts of activity. Data-driven approaches are useful for identifying clusters of physical activity that encompass multiple dimensions of activity. These activity clusters vary across sociodemographic and clinical subgroups.

scholarly journals Physical activity patterns in a nationally representative sample of adults in Ireland

2001 ◽  
Vol 4 (5a) ◽  
pp. 1107-1116 ◽  
Author(s):  
MBE Livingstone ◽  
PJ Robson ◽  
S McCarthy ◽  
M Kiely ◽  
K Harrington ◽  
...  
Keyword(s):  
Physical Activity ◽  
Representative Sample ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Leisure Activity ◽  
Work Activity ◽  
Men And Women ◽  
Metabolic Equivalents ◽  
Household Activities ◽  
Nationally Representative

AbstractObjectiveTo evaluate habitual levels of physical activity in a nationally representative sample of adults in Ireland.DesignCross-sectional survey using a self-administered questionnaire. Usual levels of work, recreational and household activities were evaluated in relation to anthropometric, demographic and socio-economic characteristics. The amount and intensity of all activities were quantified by assigning metabolic equivalents (METS) to each activity.SettingRepublic of Ireland and Northern Ireland, 1997–1999.SubjectsRandom sample of 1379 adults aged 18–64 years.ResultsMen were approximately twice as active in work and recreational activity (139.7 ± 83.9 METS) as women (68.5 ± 49.8 METS; P < 0.001), but women were three times more active in household tasks (65.9 ± 58.7 METS vs. 22.6 ± 24.6 METS; P < 0.001). Overall levels of physical activity declined with increasing age, particularly leisure activity in men. In women the decline in work activity was offset by spending more time in household pursuits. Twenty-five per cent of the subjects were extremely overweight (body mass index (BMI) > 28kg m−2) or obese (BMI > 30kg m−2). Fewer obese subjects reported higher levels of work and leisure activities. However, a higher percentage of obese women reported participation in the higher levels of household activities. Participation rates in recreational activities were low. Walking was the most important leisure activity of both men (41%) and women (60%). In terms of hours per week spent in vigorous physical activity, men were more active than women, professional and skilled non-manual women were more active than women in other social classes, and younger subjects (aged 18–35 years) were more active than older subjects.ConclusionsThe holistic approach used in the assessment of physical activity in this study has revealed important and subtle differences in the activity patterns of men and women. Failure to fully characterise the respective activity patterns of men and women could lead to ill-informed public health policy aimed at promoting and sustaining lifetime habits of physical activity. The results suggest that simple population-focused programmes to promote physical activity are unlikely to offer the same chance of long-term success as more sensitive and individualised strategies.

Physical Activity: Relations to Field and Technical Indicators of Physical Fitness for Boys and Girls Aged 9-15

1994 ◽  
Vol 16 (1) ◽  
pp. 83-101 ◽  
Author(s):  
Herbert W. Marsh
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Representative Sample ◽  
Self Report ◽  
Technical Indicators ◽  
Perceived Effort ◽  
Multiple Dimensions ◽  
Activity Measures ◽  
Nationally Representative ◽  
Better Than

Physical activity measures for a large, nationally representative sample of Australian boys and girls aged 9, 12, and 15 were related to multiple dimensions of physical fitness. Physical activity during a one-week period was only modestly related to physical fitness. However, relations tended to be higher for length of time multiplied by METs (METs - minday1) than for time alone, time multiplied by perceived effort, or METs - min day−1 multiplied by effort, whereas time multiplied by effort did no better than time alone. Relations tended to be nonlinear in that progressively higher levels of activity had less positive associations with physical fitness. The pattern and size of the relations were consistent across scores for boys and girls aged 9 to 15. Self-report measures of typical and recent (within one week) physical activity both contributed to the prediction of physical fitness, indicating that both aspects of physical activity are important.

scholarly journals Associations among Physical Activity, Diet, and Obesity Measures Change during Adolescence

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Janne H. Maier ◽  
Ronald Barry
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Health Behaviors ◽  
Diet Quality ◽  
Activity Patterns ◽  
Health Study ◽  
Blood Institute ◽  
Age Related ◽  
Juvenile Obesity ◽  
Positive Correlations

Background. Obesity in youth is highly prevalent. Physical activity and diet are influential in obesity development. However, there is a knowledge gap regarding links between activity and diet quality and their combined influence on obesity during adolescence.Objectives. We used five years of data from 2379 adolescent girls in the National Heart Lung and Blood Institute Growth and Health Study to evaluate the association between physical activity and diet quality during adolescence and to assess both as correlates of obesity.Design. Diet, activity, and body composition measures were evaluated pairwise for correlation. A canonical correlation analysis was used to evaluate relationships within and between variable groups. All statistics were examined for trends over time.Results. We found positive correlations between physical activity and diet quality that became stronger with age. Additionally we discovered an age-related decrease in association between obesity correlates and body composition.Conclusion. These results suggest that while health behaviors, like diet and activity, become more closely linked during growth, obesity becomes less influenced by health behaviors and other factors. This should motivate focus on juvenile obesity prevention capitalizing on the pliable framework for establishing healthy diet and physical activity patterns while impact on body composition is greatest.

scholarly journals Regional, demographic and national influences on attitudes and beliefs with regard to physical activity, body weight and health in a nationally representative sample in the European Union

1999 ◽  
Vol 2 (1a) ◽  
pp. 87-96 ◽  
Author(s):  
Anthony Kafatos ◽  
Yannis Manios ◽  
Irini Markatji ◽  
Ismene Giachetti ◽  
Maria Daniel Vaz de Almeida ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Representative Sample ◽  
Health Benefits ◽  
Attitudes And Beliefs ◽  
Physically Active ◽  
Nationally Representative ◽  
Beliefs And Attitudes ◽  
The Eu

AbstractIntroductionAlthough the benefits of physical activity regarding body-weight gain and health in general are now widely accepted, physical activity levels remain low among citizens in the western world. This could be attributed to certain attitudes and beliefs about physical activity. Identifying and understanding these parameters would be the first step in an attempt to increase the levels of physical activity in populations generally characterized as having a sedentary lifestyle.ObjectiveThe aim of the present study was to identify the attitudes and beliefs regarding physical activity, body weight and health in a nationally representative sample in the EU and in particular to explore the demographic and national (cultural) influences on attitudes towards physical activity.DesignIn each member state of the EU, approximately 1000 adults aged 15 years and over, were selected to complete an interviewer-assisted face-to-face questionnaire. Overall, a sample of 15 239 individuals in the EU participated in the study. Subject selection was quota-controlled to ensure samples in each country were nationally representative.ResultsOn a European level wide variations were observed regarding the levels, beliefs and attitudes towards physical activity. More positive beliefs were observed among Finns, while less positive beliefs were observed among southern Europeans. A similar pattern was observed for attitudes, with the Portuguese having the highest percentage feeling that they do not need to be more physically active than they already are. However, most southern Europeans felt that a campaign would encourage them to become more active than they already are. On a demographic level, the youngest, more educated and most physically active subjects had more positive attitudes and beliefs towards physical activity and the health benefits derived from it; while for the overweight, beliefs and attitudes toward physical activity were related primarily to the benefits related to weight control.ConclusionsLower levels of physical activity, an unwillingness to become active among non-participants and confusion regarding the weight gain benefits and general health benefits of exercise were reported more frequently among southern Europeans and older and less educated subjects. The Finns scored highest in all these parameters, possibly due to the programmes implemented and the beliefs and behaviour changes observed in this country during the last few years. The actions taken in Finland and their benefits could be employed appropriately in the other European states.

scholarly journals Associations between binge and heavy drinking and health behaviors in a nationally representative sample

2011 ◽  
Vol 36 (12) ◽  
pp. 1240-1245 ◽  
Author(s):  
Lisa A. Paul ◽  
Anouk L. Grubaugh ◽  
B. Christopher Frueh ◽  
Charles Ellis ◽  
Leonard E. Egede
Keyword(s):  
Health Behaviors ◽  
Representative Sample ◽  
Heavy Drinking ◽  
Nationally Representative

scholarly journals Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample (Preprint)

2020 ◽  
Author(s):  
Dina Huang ◽  
Yuru Huang ◽  
Sahil Khanna ◽  
Pallavi Dwivedi ◽  
Natalie Slopen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Representative Sample ◽  
Public Health Research ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
Individual Level ◽  
Nationally Representative

BACKGROUND Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes. OBJECTIVE This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample. METHODS We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter’s Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016. RESULTS Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI –1.10 to –0.20) and 0.85 kg/m<sup>2</sup> (95% CI –1.48 to –0.21) lower than those living in zip codes with the lowest frequency of happy tweets. Happy tweets were also associated with a 6%-8% lower prevalence of hypertension. A higher prevalence of healthy food tweets was linked with an 11% (95% CI 2% to 21%) lower prevalence of obesity. Those living in areas with the highest and medium tertiles of physical activity tweets were associated with a lower prevalence of hypertension by 10% (95% CI 4% to 15%) and 8% (95% CI 2% to 14%), respectively. CONCLUSIONS Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.

scholarly journals Needs assessment for physical activity information during COVID-19 among a nationally representative sample of parents and children ages 6–17 in the United States: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ashleigh M. Johnson ◽  
Emily Kroshus ◽  
Pooja S. Tandon
Keyword(s):  
Physical Activity ◽  
Rural Area ◽  
Representative Sample ◽  
Information Needs ◽  
Cross Sectional ◽  
Activity Engagement ◽  
Parents And Children ◽  
Youth Physical Activity ◽  
Big City ◽  
Nationally Representative

Abstract Background The COVID-19 pandemic presented novel barriers to youth physical activity engagement. Identifying what resources parents and children are interested in receiving can support efforts to mitigate the negative impact of the pandemic on youth physical activity behavior. This study aimed to identify physical activity-related information needs during the COVID-19 pandemic among a nationally representative sample of American parents of children 6–10 years-old and parent-child dyads of children 11–17 years-old. Methods A cross-sectional survey was conducted by a market research company in October–November 2020. Parents and children were asked about their interest in specific types of information about helping their family and themselves, respectively, be active (Yes/No). Weighted percentages were calculated for reported information needs and compared using two-sample test of proportions. Results Final analytic sample was 1000 parents (55.4% female; 74.7% White; 74.0% non-Hispanic); 500 children 11–17 years-old (52.1% male; 77.6% White). Over 40% of participants were interested in information about being active during COVID-19. Parents were more likely to be interested in information if they always (versus never) worked from home [53.3% (95% CI: 43.3–63.0%) versus 22.0% (95% CI: 14.9–31.3%), p < 0.001]; had children attending school remotely versus in-person [47.3% (95% CI:40.2–54.5%) versus 27.5% (95% CI: 19.6–37.1%), p < 0.001]; and lived in a big city versus a rural area [66.5% (95% CI:54.5–76.7%) versus 34.1% (95% CI: 22.8–47.6%), p < 0.001]. Children most interested were those who did not have resources for online activity engagement and those worried about their safety or getting infected with COVID-19. Children were also more likely to be interested if their parents worked full-time versus not working [48.6% (95% CI:41.7–55.6%) versus 31.5% (95% CI: 24.1–39.9%), p < 0.001], and lived in a big city versus a rural area [57.2% (95% CI:45.3–68.3%) versus 27.8% (95% CI:17.8–40.7%), p < 0.001]. Conclusions Families are interested in physical activity resources, particularly those whose daily routines and opportunities for physical activity may have been most significantly impacted by the pandemic. This includes parents who always worked from home or whose children attended school remotely. Identifying felt needs is an important step in developing tailored interventions that aim to effectively and sustainably support families in promoting physical activity.

Sign in / Sign up

Export Citation Format

Share Document