Predictors of adoption and maintenance of vigorous physical activity in men and women

Sallis, James F.; Hovell, Melbourne F.; Hofstetter, C. Richard

doi:10.1016/0091-7435(92)90022-a

Cited by 389 publications

(311 citation statements)

References 12 publications

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“…Although there was a statistically significant trend for dose‐response relationship, the difference of point estimates was modest between each group. This finding has importance from a clinical and public health perspective, because time is one of the larger hurdles when physically inactive modern people begin to exercise 15, 16. There is an opinion that the current recommendation may not be perceived as a practical, achievable, and sustainable goal for physically inactive people 17.…”

Section: Discussionmentioning

confidence: 95%

Physical Activity Frequency and the Risk of Stroke: A Nationwide Cohort Study in Korea

Jeong

Kim

Kang

et al. 2017

JAHA

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BackgroundThe current guideline recommends moderate‐ to vigorous‐intensity physical activity (PA) at least 40 min/day for 3 to 4 days/week. Although recent evidence has demonstrated that low‐dose PA could reduce cardiovascular mortality, the relationship between low‐dose PA and the risk of stroke remains uncertain.Methods and ResultsUsing data from a nation‐wide sample cohort in Korea, we examined 336 326 individuals who received a general health examination between 2009 and 2010. Level of PA was assessed using a questionnaire for weekly PA frequencies regarding 3 intensity categories: light, moderate, and vigorous. Moderate‐ to vigorous‐intensity PA (MVPA) was classified into 4 frequency categories: none, 1 to 2, 3 to 4, or ≥5 times/week. Cox proportional hazard models were constructed to estimate the risk of stroke. During the average follow‐up of 3.6 years, 2213 stroke cases occurred. MVPA was none in 50%, 1 to 2 times/week in 20%, 3 to 4 times/week in 13%, and ≥5 times/week in 18% of the cohort. Individuals with MVPA 1 to 2 times/week had a 16% reduced risk of stroke (adjusted hazard ratio, 0.84; 95% confidence interval, 0.73–0.96) compared with those with no MVPA. The population attributable fraction of no MVPA was 12%, which was the second most important risk factor for a stroke after hypertension.ConclusionsEven 1 to 2 times a week of MVPA might be beneficial to prevent a first‐ever stroke in the general population, although a quantitative validation of the questionnaire is needed. From a public health perspective, we need to encourage inactive people to start exercising with more‐achievable goals.

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Section: Discussionmentioning

confidence: 95%

Physical Activity Frequency and the Risk of Stroke: A Nationwide Cohort Study in Korea

Jeong

Kim

Kang

et al. 2017

JAHA

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“…A limited access for people of lower socioeconomic status to sports facilities might be one reason for the disparities. Crosssectional [8] and longitudinal studies [23,35] have shown that access to sports facilities (e.g., fitness centers, swimming pools) is positively correlated with sport participation in adults. A study by Brownson et al [7] suggests that access to community walking trails may be beneficial in promoting physical activity particularly among people of lower socioeconomic status.…”

Section: Discussionmentioning

confidence: 99%

Correlates of sport participation among community-dwelling elderly people in Germany: a cross-sectional study

Hinrichs

Trampisch

Burghaus

et al. 2010

Eur Rev Aging Phys Act

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The aims of this study were (1) to analyze the sport participation in a cohort of community-dwelling elderly people in Germany and (2) to evaluate associations between sport participation, sociodemographic factors, cardiovascular risk factors, and health status. In a monitored prospective cohort study (getABI), 6,880 unselected patients ≥65 years have been followed up by 344 general practitioners beginning in 2001. As part of the 5-year follow-up telephone interview, a sample of 1,376 participants was interviewed on sport participation. The association between participation in at least one sporting activity ("sporty" yes/no) during the past week (cycling) or month (other sports) and the following parameters was analyzed by logistic regression: age, sex, immigration background, education, waist circumference, smoking, selfreported health, history of vascular events, diabetes mellitus, lipometabolic disorder, and arterial hypertension. Analysis of activities (n=1,304; median age 76 (70-94) years; 55.1% women) showed that 27.6% of participants rode a bicycle during the previous week. During the previous month, 24.9% of participants did gymnastics or strength training, and 16.5% swam. Of all participants, 53.8% were sporty. Multivariate analysis revealed several independent factors to be associated with being sporty (p<0.05): younger age, male sex, higher education, nonsmoking, better self-reported health, and not being diagnosed with diabetes. Immigration background, waist circumference, history of vascular events, lipometabolic disorder, and hypertension did not show a statistically significant association (p≥0.05) with sport participation. Summing up, the most frequently performed sporting activities were cycling, gymnastics or strength training, and swimming. Sport participation was associated with, for example, age and sex.

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“…Measuring Social SW as it relates to PA would include questions about whether or not a woman needs friends and family to support her commitment to exercise. Previous research suggests that women are more influenced by social support than men when it comes to PA participation (Sallis, Hovell, & Hofstetter, 1992). Developing an effective measure of social SW might improve our ability to determine whether social SW is a mediator of PA participation and Global SW.…”

Section: Introductionmentioning

confidence: 99%

Developing an instrument to measure physical activity related self-worth in women: Rasch analysis of the Women's Physical Activity Self-Worth Inventory (WPASWI)

Huberty

Vener

Gao

et al. 2013

Psychology of Sport and Exercise

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Objectives: The objective of this study is to report on the development of an instrument to assess non-physical aspects of physical activity (PA) -related self-worth (SW). Methods: Three hundred thirty five women (mean age = 36.69 ± 15.94 yrs, BMI = 24.87 ± 4.56) completed the Women's Physical Activity Self-Worth Inventory (WPASWI), General SW Scale, and a PA Questionnaire. Rasch analysis was used to evaluate the WPASWI. Results: Three PA-related SW subscales were identified: PA Knowledge (16 items), PA Emotional (13 items), and PA Social (8 items). Rasch analysis supported construct validity, and items demonstrated acceptable internal consistency (Cronbach's alpha = .90, .87 and .72) and test re-test reliability (r = .79, .70, .81). Women who reported regular PA participation had higher PA Knowledge, PA Emotional, PA Social, and General SW than those who reported some or no PA (p < .01) and correlations between Knowledge, Emotional, and Social SW subscales and General SW were .207, .130, and .220, respectively. PA Knowledge and PA Emotional SW had stronger correlations with PA (r = .344, .273, respectively) than did General SW (r = .133). Conclusions:The WPASWI demonstrated good internal consistency, reliability, construct validity and a stronger relationship with PA than a General SW instrument.

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Predictors of adoption and maintenance of vigorous physical activity in men and women

Cited by 389 publications

References 12 publications

Physical Activity Frequency and the Risk of Stroke: A Nationwide Cohort Study in Korea

Physical Activity Frequency and the Risk of Stroke: A Nationwide Cohort Study in Korea

Correlates of sport participation among community-dwelling elderly people in Germany: a cross-sectional study

Developing an instrument to measure physical activity related self-worth in women: Rasch analysis of the Women's Physical Activity Self-Worth Inventory (WPASWI)

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