Sisters in Motion: A Randomized Controlled Trial of a Faith-Based Physical Activity Intervention

Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California 90095, USA.
Journal of the American Geriatrics Society (Impact Factor: 4.57). 10/2010; 58(10):1863-9. DOI: 10.1111/j.1532-5415.2010.03082.x
Source: PubMed


To evaluate a faith-based intervention (Sisters in Motion) intended to increase walking in older, sedentary African-American women.
Randomized controlled trial using within-church randomization.
Three Los Angeles churches.
Sixty-two African-American women aged 60 and older who reported being active less than 30 minutes three times per week and walked less than 35,000 steps per week as measured using a baseline pedometer reading.
Intervention participants received a multicomponent curriculum including scripture readings, prayer, goal-setting, a community resource guide, and walking competitions. Intervention and control participants both participated in physical activity sessions.
The primary outcome was change in weekly steps walked as measured using the pedometer. Secondary outcomes included change in systolic blood pressure (SBP). Outcomes were assessed at baseline and 6 months after the intervention.
Eighty-five percent of participants attended at least six of eight sessions. Intervention participants averaged 12,727 steps per week at baseline, compared with 13,089 steps in controls. Mean baseline SBP was 156 mmHg for intervention participants and 147 mmHg for controls (P=.10). At 6 months, intervention participants had increased their weekly steps by 9,883 on average, compared with an increase of 2,426 for controls (P=.02); SBP decreased on average by 12.5 mmHg in intervention participants and only 1.5 mmHg in controls (P=.007).
The Sisters in Motion intervention led to an increase in walking and a decrease in SBP at 6 months. This is the first randomized controlled trial of a faith-based physical activity program to increase physical activity in older African-American women and represents an attractive approach to stimulate lifestyle change in this population.

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Available from: Mei Leng, Apr 15, 2014
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    • "Clinical trials comparing weight loss interventions with a religious element to those without have shown increased physical activity [29], improved dietary quality [30] and greater mean weight loss [31,32] in participants receiving the additional religious element. Survey and qualitative data suggest smokers [33] and those who overeat [34] are receptive to incorporating a spiritual element into treatment programmes. "
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    ABSTRACT: Background: Quitting smokers gain weight. This deters some from trying to stop smoking and may explain the increased incidence of type 2 diabetes after cessation. Dieting when stopping smoking may be counterproductive. Hunger increases cravings for smoking and tackling two behaviours together may undermine quitting success. A meta-analysis of randomized controlled trials (RCTs) showed individualized dietary support may prevent weight gain, although there is insufficient evidence whether it undermines smoking cessation. Commercial weight management providers (CWMPs), such as Slimming World, provide individualized dietary support for National Health Service (NHS) patients; however, there is no evidence that they can prevent cessation-related weight gain.Our objective is to determine whether attending Slimming World from quit date, through referral from NHS Stop Smoking Services, is more effective than usual care at preventing cessation-related weight gain. Methods: This RCT will examine the effectiveness of usual cessation support plus referral to Slimming World compared to usual cessation support alone. Healthy weight, overweight and obese adult smokers attending Stop Smoking Services will be included. The primary outcome is weight change in quitters 12 weeks post-randomization. Multivariable linear regression analysis will compare weight change between trial arms and adjust for known predictors of cessation-related weight gain.We will recruit 320 participants, with 160 participants in each arm. An alpha error rate of 5% and 90% power will detect a 2 kg (SD = 2.5) difference in weight gain at 12 weeks, assuming 20% remain abstinent by then. Discussion: This trial will establish whether referral to the 12-week Slimming World programme plus usual care is an effective intervention to prevent cessation-related weight gain. If so, we will seek to establish whether weight control comes at the expense of a successful quit attempt in a further non-inferiority trial.Positive results from both these trials would provide a potential solution to cessation-related weight gain, which could be rolled out across England within Stop Smoking Services to better meet the needs of 0.75 million smokers stopping with NHS support every year. Trial registration: Current Controlled Trials ISRCTN65705512.
    Trials 06/2013; 14(1):182. DOI:10.1186/1745-6215-14-182 · 1.73 Impact Factor
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    • "The lowest reported mean pedometer-determined physical activity reported in a review of expected values for older adults was 2015 steps/day in a sample of ≥85-year-olds (Croteau and Richeson 2005). More recently, a value of 12 727 ± 9387 steps/week (translating to 1818 steps/day) was reported for a sample of older African-American women (73.3 ± 9.6 years) engaged in a faith-based intervention (Duru et al. 2010). A review of cross-sectional studies of individuals living with heart and vascular diseases, COPD, dialysis, arthritis, joint replacement, fibromyalgia, and physical disability indicates that all average <5000 steps/day (Tudor-Locke et al. 2009b). "
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    ABSTRACT: Step counting (using pedometers or accelerometers) is widely accepted by researchers, practitioners, and the general public. Given the mounting evidence of the link between low steps/day and time spent in sedentary behaviours, how few steps/day some populations actually perform, and the growing interest in the potentially deleterious effects of excessive sedentary behaviours on health, an emerging question is "How many steps/day are too few?" This review examines the utility, appropriateness, and limitations of using a reoccurring candidate for a step-defined sedentary lifestyle index: <5000 steps/day. Adults taking <5000 steps/day are more likely to have a lower household income and be female, older, of African-American vs. European-American heritage, a current vs. never smoker, and (or) living with chronic disease and (or) disability. Little is known about how contextual factors (e.g., built environment) foster such low levels of step-defined physical activity. Unfavorable indicators of body composition and cardiometabolic risk have been consistently associated with taking <5000 steps/day. The acute transition (3-14 days) of healthy active young people from higher (>10 000) to lower (<5000 or as low as 1500) daily step counts induces reduced insulin sensitivity and glycemic control, increased adiposity, and other negative changes in health parameters. Although few alternative values have been considered, the continued use of <5000 steps/day as a step-defined sedentary lifestyle index for adults is appropriate for researchers and practitioners and for communicating with the general public. There is little evidence to advocate any specific value indicative of a step-defined sedentary lifestyle index in children and adolescents.
    Applied Physiology Nutrition and Metabolism 02/2013; 38(2):100-14. DOI:10.1139/apnm-2012-0235 · 2.34 Impact Factor
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    • "A relative lack of steps/day is used to infer a physically inactive lifestyle. Pedometers have been used to describe steps/day taken by various populations [11-15], explore steps/day values required to achieve health benefits [16], evaluate intervention effectiveness [17-19], and promote healthy lifestyles [20-24]. However, few studies have attempted to define the direct relationship between dynamic changes in pedometer-determined steps/day and changes in anthropometric and clinical outcomes. "
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    ABSTRACT: Background Walking for exercise remains the most frequently reported leisure-time activity, likely because it is simple, inexpensive, and easily incorporated into most people’s lifestyle. Pedometers are simple, convenient, and economical tools that can be used to quantify step-determined physical activity. Few studies have attempted to define the direct relationship between dynamic changes in pedometer-determined steps/day and changes in anthropometric and clinical outcomes. Hence, the objective of this secondary analysis was to evaluate the utility of several descriptive indicators of pedometer-determined steps/day for predicting changes in anthropometric and clinical outcomes using data from a community-based walking intervention, HUB City Steps, conducted in a southern, African American population. A secondary aim was to evaluate whether treating steps/day data for implausible values affected the ability of these data to predict intervention-induced changes in clinical and anthropometric outcomes. Methods The data used in this secondary analysis were collected in 2010 from 269 participants in a six-month walking intervention targeting a reduction in blood pressure. Throughout the intervention, participants submitted weekly steps/day diaries based on pedometer self-monitoring. Changes (six-month minus baseline) in anthropometric (body mass index, waist circumference, percent body fat [%BF], fat mass) and clinical (blood pressure, lipids, glucose) outcomes were evaluated. Associations between steps/day indicators and changes in anthropometric and clinical outcomes were assessed using bivariate tests and multivariable linear regression analysis which controlled for demographic and baseline covariates. Results Significant negative bivariate associations were observed between steps/day indicators and the majority of anthropometric and clinical outcome changes (r = -0.3 to -0.2: P < 0.05). After controlling for covariates in the regression analysis, only the relationships between steps/day indicators and changes in anthropometric (not clinical) outcomes remained significant. For example, a 1,000 steps/day increase in intervention mean steps/day resulted in a 0.1% decrease in %BF. Results for the three pedometer datasets (full, truncated, and excluded) were similar and yielded few meaningful differences in interpretation of the findings. Conclusions Several descriptive indicators of steps/day may be useful for predicting anthropometric outcome changes. Further, manipulating steps/day data to address implausible values has little overall effect on the ability to predict these anthropometric changes.
    BMC Public Health 11/2012; 12(1):983. DOI:10.1186/1471-2458-12-983 · 2.26 Impact Factor
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