Environmental, Policy, and Cultural Factors Related to Physical Activity in African American Women

Richter, Donna L.; Wilcox, Sara; Greaney, Mary L.; Henderson, Karla A.; Ainsworth, Barbara E.

doi:10.1300/j013v36n02_07

Cited by 72 publications

(74 citation statements)

References 7 publications

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“…Our encouraging results and similar between-group attrition rates suggests that our approach was acceptable, feasible, and potentially efficacious in promoting physical activity in a low-income, underserved population known to have low intervention uptake and less successful response to physical activity and smoking interventions than the general population-major contributors to health disparities [57][58][59][60][61]. A review of counseling treatments in low-income populations underscored the need to establish enhanced interventions for this high-risk group, including more effective telephone-based counseling services (e.g., quitlines) [62].…”

Section: Discussionmentioning

confidence: 65%

A telephone-based intervention to promote physical activity during smoking cessation: a randomized controlled proof-of-concept study

Nair

Patterson

Rodriguez

et al. 2016

Behav. Med. Pract. Policy Res.

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Smoking and physical inactivity contribute to disproportionate disease burden among underserved adults. Telephone-based interventions (quitlines) are becoming the standard care for addressing smoking. There is increasing interest to determine whether quitlines can be utilized to administer interventions for other unhealthy behaviors. This study aims to examine the proof-ofconcept and potential efficacy of a telephone-based behavioral counseling intervention to boost daily low-tomoderate physical activity among low-income, physically inactive smokers. Participants (N = 101) were randomized to receive 4 weeks of counseling prior to their smoking quit day that included either standard smoking cessation counseling (control) or the Step-up to Quit (SUTQ) intervention. SUTQ promoted daily walking to foster physical activity as a primary smoking urge management strategy and facilitate incremental increases in daily steps with the goal of achieving 7500 steps/day by the quit day in week 4. Exploratory structural equation modeling tested SUTQ effects on six measures of low-tomoderate physical activity (primary outcome) and smoking cue reactivity (secondary outcome) simultaneously in a single multivariate model with controlling variables. The sample was 51 % female and 77 % AfricanAmerican, with a mean age of 42.1 years (SD = 10.9). Compared to the control condition, SUTQ intervention was associated with greater physical activity at week 4 (b = 0.51, z = 1.71, p = 0.08), with between-group differences sustained at follow-up. At week 4, the SUTQ group had higher 7-day mean steps/day (M = 7,207.25, SD = 4,276.03) than controls (M = 3,947.03, SD = 3,655.03) (t = 3.35; p < .01); and had more participants reach the >7500 steps/day goal (49% vs. 11 %, c2 = 10.78; p < .01), a difference that was sustained at 1-month follow-up (X2 = 9.04, p < .01) Effects of SUTQ treatment on cue reactivity were in the hypothesized direction but not significant (b = −0.29; z = −1.09, p = 0.27). To our knowledge, this is the first study to promote physical activity using telephone counseling in an underserved population of smokers known to have greater challenges with physical activity adoption and smoking cessation. The SUTQ approach suggests that integration of physical activity advice and support within the context of smoking cessation treatment has the potential to promote physical activity among smokers intending to quit. KeywordsPhysical activity, Smoking cue reactivity, Telephonebased counseling, Low-income smokers BACKGROUND Telephone-based smoking cessation services, or quitlines, have become important components of comprehensive tobacco control and cessation

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Section: Discussionmentioning

confidence: 65%

A telephone-based intervention to promote physical activity during smoking cessation: a randomized controlled proof-of-concept study

Nair

Patterson

Rodriguez

et al. 2016

Behav. Med. Pract. Policy Res.

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“…Lechner, Bolman, and Van Dijke (2005) had opined that increasing the accuracy of people's self-perceptions of physical activity may be an important strategy to promote physical activity in populations at risk of inactivity. Unfortunately, extrapolation of perceptions from studies conducted in other settings may not be entirely appropriate because of the different social and cultural backgrounds of the participants in the different studies (Richter, Wilcox, Greaney, Henderson, & Ainsworth, 2002;Eyler, Vest, & Sanderson, 2002). Ability to improve peoples' perception about physical activity will enhance behavioural change, but achieving this will only be possible if different communities assess the perceptions of their residents in order to establish whether or not they have an appropriate perception of their physical activity levels.…”

Section: Introductionmentioning

confidence: 99%

Perception and Misperception of Health Enhancing Physical Activity among Urban Community Dwellers in Ibadan, Nigeria: Profiling the Underestimators, the Overestimators, and the Realists

Adeniyi¹,

Ogwumike²,

Adewumi³

2016

GJHS

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Background: The ability to initiate and sustain health enhancing behaviour including physical activity requires appropriate self-perception of such activities. This study was conducted to investigate whether a group of Nigerian urban community dwellers are able to demonstrate a good perception of their physical activity behaviour. Methodology:The study was a cross-sectional survey of 1,153 urban community dwellers from three local government areas of Ibadan, Southwest Nigeria. Physical activity perception was assessed first; by self-rating of their physical activity based on a moderate-level physical activity vignette, followed by comparison with a more objective measure using the Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH). Participants were thereafter classified as underestimators, overestimators, realistic actives or realistic inactives. Data were analysed using descriptive and inferential statistics, with the influence of sociodemographic characteristics on physical activity perception of participants tested with multiple logistic regression analyses at p<0.05. Results:A total of 604 (52.4%) of the community dwellers were physically inactive, but only 269 (23.3%) correctly rated themselves as inactive, 335 (29.1%) participants overestimated their physical activity level and 2.7% underestimated theirs. The odds of overestimation of physical activity was higher in middle-aged participants (OR=2.16; 95% CI=1.75-3.11) but lower among female participants (OR=0.58; 95% CI=0.30-0.79). Being a realistic inactive was associated with increasing age, female gender and higher income.Conclusions: About half of the community dwellers were physically inactive with about half of them having a misperception of their activity levels. Misperceptions and realities about physical activity were generally linked to sociodemographic characteristics. A specially designed educational intervention programme may provide more insight to the community dwellers about their physical activities.

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“…Low PA levels are a major factor influencing increased BMI and obesity levels among AAW in the U.S. (Kumanyika et al, 1993;Richter et al, 2002). Studies have found that obese AAW experience lower levels of general wellbeing and exercise performance (Patt et al, 2004;CDC, 2001) and these characteristics are influenced by their perceived self-efficacy (Eyler et al, 2002a).…”

Section: Behavioral Factors Physical Activitymentioning

confidence: 99%

“…Social pressures resulting from life style (i.e. time needed for work and preparation of nutritious meals) and familial responsibilities are factors influencing food preparation techniques, and eating habits; they also affect the nutritional values of many foods consumed by AAW (Baturka et al, 2000;Jefferson et al, 2010;Hargreaves et al, 2002;Richter et al, 2002).…”

Section: Nutrition and Food Preparationmentioning

confidence: 99%

“…Findings in a number of studies support (a) more overcrowding in homes/facilities, (b) more PA facilities but not enough affordable access to these facilities, (c) insufficient, and poor quality educational and health programs, (d) poor quality foods, (e) unsafe public transportation, and (d) lack of health care access and open spaces for PA as factors influencing increased obesity levels in AAW (Dis, 2002;Davis et al, 2005a;Eyler et al, 2002a;Richter et al, 2002). Thus, the lack of access to affordable physical activity programs, inadequate time to participate in programs, and lack of familial encouragement and support are sociocultural factors related to increased obesity among urban AAW (Eyler et al, 2002a;Young et al, 2002).…”

Section: The Rural Environmentmentioning

confidence: 99%

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Menopause, Rurality, And Obesity in Rural African American Women

Kilgore¹

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Environmental, Policy, and Cultural Factors Related to Physical Activity in African American Women

Cited by 72 publications

References 7 publications

A telephone-based intervention to promote physical activity during smoking cessation: a randomized controlled proof-of-concept study

A telephone-based intervention to promote physical activity during smoking cessation: a randomized controlled proof-of-concept study

Perception and Misperception of Health Enhancing Physical Activity among Urban Community Dwellers in Ibadan, Nigeria: Profiling the Underestimators, the Overestimators, and the Realists

Menopause, Rurality, And Obesity in Rural African American Women

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