Personal, social, and physical environmental correlates of physical activity in African-American women in South Carolina

Ainsworth, Barbara E.; Wilcox, Sara; Thompson, Winifred; Richter, Donna L.; Henderson, Karla A.

doi:10.1016/s0749-3797(03)00161-2

Cited by 162 publications

(144 citation statements)

References 17 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…Out of the eighteen studies that reported income only six analysed original data [40,41,44,51,53,71], which was reflected in generally smaller Sample size is compared with the analyses of existing data. Similar to social class measurement, the majority of studies used only two or three income categories; only five used four or more categories [41,49,54,67,70] and one study used a continuous variable [48].…”

Section: Outcomes For Incomementioning

confidence: 99%

“…$20,000-25,000) although arbitrary, whereas the absence of such a linear scale for a diverse range of occupations makes boundaries less defined. Eight studies focused on middle-aged [42,43,53], or middle-aged and older adults [40,41,49,57,71]; the remainder included a full age range. Age is likely to be less pertinent when using income rather than social class or education: non-working individuals can still be classified by income but are often excluded from occupational classification; furthermore, current income is unaffected by temporal change, unlike education (changes in the education system and employment market mean that obtaining the same qualification thirty years ago would have had different consequences in terms of subsequent employment opportunities and relative income than nowadays).…”

Section: Outcomes For Incomementioning

confidence: 99%

“…This could have been attributable to ethnic variation in four of these; two analysed survey data on African-American women [42,53]; an original study that used a wellvalidated physical activity measure (QR2) involved a multi-ethnic sample of women [40]; and Clark et al [49] failed to find an association in a multi-ethnic sample of older Americans. However, in the latter study, measuring absolute income (rather than relative to pension level) could have contributed to this finding that conflicted with the study of older Australians [57].…”

Section: Outcomes For Incomementioning

confidence: 99%

See 2 more Smart Citations

A systematic review of the relationship between socio-economic position and physical activity

Gidlow

Johnston

Crone

et al. 2006

Health Education Journal

352

288

View full text Add to dashboard Cite

Objective The aim of the present review was to examine epidemiological evidence to determine if there is strong evidence of a positive gradient of increasing physical activity across the socio-economic strata, and how relationships are affected by socio-economic measurement. Design Systematic review. Method A search of major databases was conducted to identify published studies that reported physical activity in relation to socio-economic position (SEP) in adults. Results Twenty-eight cross-sectional and five longitudinal studies met the inclusion criteria. Approximately half of these were American. Consequently education and income were most commonly used to represent SEP. The majority of studies were secondary analyses of existing health survey data, which could explain the generally large sample sizes and methodological weaknesses in physical activity and SEP measurement. There was consistent evidence of a higher prevalence or higher levels of leisure-time or moderate-vigorous intensity physical activity in those at the top of the socio-economic strata compared with those at the bottom. Evidence for positive gradients across the socio-economic strata was less consistent. Education produced the most stable relationships, less susceptible to confounding effects of ethnicity and the environment. Conclusion Those at the top of the socio-economic scale appear to perform more leisure-time activity than those at the bottom. Diverse and often crude physical activity and socio-economic measurement made it difficult to distinguish between artefact and true effect in a relationship with so many potential confounding influences. Further studies using up-to-date methods of socio-economic and physical activity measurement are necessary to further explore this relationship and its confounders.

show abstract

Section: Outcomes For Incomementioning

confidence: 99%

Section: Outcomes For Incomementioning

confidence: 99%

Section: Outcomes For Incomementioning

confidence: 99%

See 1 more Smart Citation

A systematic review of the relationship between socio-economic position and physical activity

Gidlow

Johnston

Crone

et al. 2006

Health Education Journal

352

288

View full text Add to dashboard Cite

show abstract

“…With regard to a gender gap in terms of willpower as a constraint, studies by Ainsworth, Wilcox, Thompson, Richter and Henderson (2003) and Kulavic et al (2013) also identified lack of willpower as an important barrier to be overcome, and studies by Saxena, Borzekowski and Rickert (2002) and Robbins, Pender and Kazanis (2003) specifically identified lack of motivation and laziness as factors preventing adolescent girls from participating in physical activities. These findings support the result of the present study.…”

Section: Discussionmentioning

confidence: 99%

Constraints on leisure time physical activity at a public university

Öcal

2014

IJHS

View full text Add to dashboard Cite

This study focuses on understanding constraints on leisure time physical activity (LTPA) on a university campus. The survey study was conducted with public university students (n=563) living in dormitories. The 38-item, 8-dimension Leisure Time Physical Activity Constraints (LTPA-C) Scale was used to investigate factors limiting LTPA. Age, gender, working status (i.e. part-time, non-working), program type (i.e. morning education, evening education), relationship status (i.e. in a relationship, not in a relationship), monthly expenses and body mass index (BMI) category (i.e. underweight, normal weight, overweight, obese) are key variables believed to affect LTPA-C. An initial confirmatory factor analysis was conducted to validate the structure of the scale, and frequency analysis, Pearson's Correlation and t-tests were conducted to analyze the survey responses. Results showed the hierarchy of constraints for males (from high to low) to be as follows: society, income, time, facility, willpower, skill perception, family, body perception. The hierarchy was nearly identical for females, except 'willpower' was found to be a greater constraint than 'facility'; moreover, the differences in the rates at which males and females perceived 'facility' and 'willpower' to be constraints were statistically significant. The study findings indicate that by taking steps to improve the infrastructure of university campus facilities and organize group activities, university management can provide motivation and social support that can help to increase university student participation in LTPA.

show abstract

“…The involvement of women in multiple roles such as mother, wife, caregiver, employee, and volunteer significantly affects time to exercise [9]. Certain societies also do not look favourably on women engaging in physical activity [10].…”

Section: Discussionmentioning

confidence: 99%

Exercise, Overweight and Obesity in Rural Communities, the Situation of Some Communities in the Central Region of Ghana

Pereko¹

2014

J Nutr Food Sci

View full text Add to dashboard Cite

Objective: The study aimed at finding the level of physical activity and the evidence of overweight and obesity and associated its sociodemographic factors in some rural communities in the central region of Ghana. Subjects:The study was a cross sectional survey involving a total of 470 respondents aged 18 to 91years (337 females and 133 males) in 7 rural communities in the Central Region of Ghana.Findings: Our study found that 42.1% of respondents engaged in some from of physical exercise and that the exercise of choice was walking. The incidences of obesity and overweight were 3.1% and 13.0% respectively in male and 14.9% and 26.6% respectively in females. Significant associations were found between the Body Mass Index (BMI) of respondents and the following factors; regular participation in physical activity (p=0.032), sex (<0.0001) and educational level in female (p=0.033). There were also significant associations between exercising and factors such as level of education (p<0.0001) and sex (<0.0001). Conclusion:A number of sociodemographic factors were found to have association with the BMI and regular participation in physical activity. Our findings also seem to suggest an increasing trend in weight gain particularly in the female rural population.

show abstract

Personal, social, and physical environmental correlates of physical activity in African-American women in South Carolina

Cited by 162 publications

References 17 publications

A systematic review of the relationship between socio-economic position and physical activity

A systematic review of the relationship between socio-economic position and physical activity

Constraints on leisure time physical activity at a public university

Exercise, Overweight and Obesity in Rural Communities, the Situation of Some Communities in the Central Region of Ghana

Contact Info

Product

Resources

About