Behavioral Treatment for Weight Gain Prevention Among Black Women in Primary Care Practice

Bennett, Gary G.; Foley, Perry; Levine, Erica; Whiteley, Jessica A.; Askew, Sandy; Steinberg, Dori; Batch, Bryan C.; Greaney, Mary L.; Miranda, Heather; Wroth, Thomas H.; Holder, Marni Gwyther; Emmons, Karen M.; Puleo, Elaine

doi:10.1001/jamainternmed.2013.9263

Cited by 108 publications

(194 citation statements)

References 43 publications

(42 reference statements)

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“…In that study, we found that 85% tracked at least 2 days per week and the average weight loss was around 2kg after 6 months [29]. Finding similar feasibility and weight loss findings suggest that a standalone approach to weight loss that focuses primarily on tracking behavioral goals through mobile technologies can be effective for parents of children presenting for obesity treatment or other adult populations.…”

Section: Discussionmentioning

confidence: 61%

“…The intervention utilized the Interactive Obesity Treatment Approach (iOTA), which produces weight loss through the modification of everyday obesogenic behaviors [29,30,33,34]. At baseline, each intervention participant completed a short self-administered survey to assess level of engagement in various dietary, physical activity, and other weight control behaviors.…”

Section: Behavior Change Goalsmentioning

confidence: 99%

“…delivered without requiring real-time interaction). Prior work demonstrates that using mobile technologies to administer weight loss treatment can be successful in the clinic setting [29,30]. We recently demonstrated the effectiveness of "Track"; a fully-automated, evidence-based digital weight loss program among adults in a clinic setting [31,32].…”

Section: Introductionmentioning

confidence: 99%

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Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial (Preprint)

Kay¹,

Burroughs²,

Askew³

et al. 2018

Preprint

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BACKGROUND The prevalence of childhood obesity continues to increase, and clinic-based treatment options have failed to demonstrate effectiveness. One of the strongest predictors of child weight is parent weight. Parental treatment for weight loss may indirectly reduce obesity in the child. We have previously demonstrated the effectiveness among adults of a fully automated, evidence-based digital weight loss intervention (Track). However, it is unknown if it is feasible to deliver such a treatment directly to parents with obesity who bring their child with obesity to a weight management clinic for treatment. OBJECTIVE The objective of our study was to evaluate the feasibility of and engagement with a digital weight loss intervention among parents of children receiving treatment for obesity. METHODS We conducted a 6-month pre-post feasibility trial among parents or guardians and their children aged 4-16 years presenting for tertiary care obesity treatment. Along with the standard family-based treatment protocol, parents received a 6-month digital weight loss intervention, which included weekly monitoring of personalized behavior change goals via mobile technologies. We examined levels of engagement by tracking completed weeks of self-monitoring and feasibility by assessing change in weight. RESULTS Participants (N=48) were on average 39 years old, mostly female (35/42, 82% ), non-Hispanic Black individuals (21/41, 51%) with obesity (36/48, 75%). Over a quarter had a yearly household income of <US $25,000, and about a third had the equivalent of a high school education. Children were on average 10 years old and had a body mass index of 29.8 kg/m2. The median percentage of weeks participants tracked their behaviors was 77% (18.5/24 total weeks; interquartile range [IQR] 6.3 to 100). The median number of attempts via phone or text message (short message service) required to complete one tracking week was 3.3 (IQR 2.6 to 4.9). Nearly half (23/48, 48%) had high levels of engagement, completing 80% (19/24) or more weeks of tracking. Of the 26 participants with weight measurements reported at 6 months, of which 81% (21/26) were self-reported, there was a median 2.44 kg (IQR −6.5 to 1.0) decrease in weight. CONCLUSIONS It is feasible to deliver an evidence-based digital weight loss intervention to parents or guardians whose children are enrolled in a weight management program. Given the feasibility of this approach, future studies should investigate the effectiveness of digital weight loss interventions for parents on child weight and health outcomes.

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Section: Discussionmentioning

confidence: 61%

Section: Behavior Change Goalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial (Preprint)

Kay¹,

Burroughs²,

Askew³

et al. 2018

Preprint

Self Cite

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“…8 In 9 studies, interventions were delivered in group settings, 6,[8][9][10][11][12][13] 3 studies used one-on-one counseling, [14][15][16] and 1 used telephone counseling and self-monitoring. 17 Weight changes were the focus of this review; however, other outcomes were measured in the studies including daily steps (1), blood pressure (3), waist circumference (1), glucose (1), cholesterol (2), hemoglobin A1C (3), perceived stress level (1), energy intake (2), self-reported physical activity (2), breast health knowledge (1), selfbreast examination proficiency (1), intervention feasibility (1), and depression (1).…”

Section: Examining the Evidence Description Of Studies And Range Of Wmentioning

confidence: 99%

“…The most common length was 18 months, which was observed in 5 of the 12 experimental studies. 8,11,13,17,18 The experimental studies took place in the US. Specific settings included community health centers, a YMCA, a university conference center, family practice clinics, churches, and a senior center.…”

Section: Examining the Evidence Description Of Studies And Range Of Wmentioning

confidence: 99%

Weight Loss Intervention Efficacy Among Black Women

Schlicht¹,

Haglund²

2015

The Journal for Nurse Practitioners

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Obesity is a complex disease state that has challenged the health of Americans and has become a main concentration in health care. The highest rates of obesity are observed among black women. The purpose of this evidence-based review was to find evidence that specifically examined black women to determine if participation in weight loss interventions led to successful weight loss compared with usual care and control groups. Twelve experimental studies and 4 systematic reviews revealed that interventions contributed to successful weight loss among black women with obesity. However, maintenance of weight loss is an ongoing challenge.

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Behavioral Counseling to Promote a Healthful Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors

Patnode

Evans

Senger

et al. 2017

JAMA

312

196

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Diet and physical activity behavioral interventions for adults not at high risk for cardiovascular disease result in consistent modest benefits across a variety of important intermediate health outcomes across 6 to 12 months, including blood pressure, low-density lipoprotein and total cholesterol levels, and adiposity, with evidence of a dose-response effect, with higher-intensity interventions conferring greater improvements. There is very limited evidence on longer-term intermediate and health outcomes or on harmful effects of these interventions.

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Behavioral Treatment for Weight Gain Prevention Among Black Women in Primary Care Practice

Cited by 108 publications

References 43 publications

Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial (Preprint)

Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial (Preprint)

Weight Loss Intervention Efficacy Among Black Women

Behavioral Counseling to Promote a Healthful Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors

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