| Title |
Preventing Weight Gain Improves Sleep Quality Among Black Women: Results from a RCT
|
|---|---|
| Published in |
Annals of Behavioral Medicine, February 2017
|
| DOI | 10.1007/s12160-017-9879-z |
| Pubmed ID | |
| Authors |
Dori M. Steinberg, Jacob Christy, Bryan C. Batch, Sandy Askew, Reneé H. Moore, Portia Parker, Gary G. Bennett |
| Abstract |
Obesity and poor sleep are highly prevalent among Black women. We examined whether a weight gain prevention intervention improved sleep among Black women. We conducted a randomized trial comparing a 12-month weight gain prevention intervention that included self-monitoring through mobile technologies and phone coaching to usual care in community health centers. We measured sleep using the Medical Outcomes Study Sleep Scale at baseline, 12 months, and 18 months. The scale examines quantity of sleep, sleep disturbance, sleep adequacy, daytime somnolence, snoring, shortness of breath, and global sleep problems (sleep problem indices I and II). Participants (n = 184) were on average 35.4 years and obese (BMI 30.2 kg/m(2)); 74% made <$30,000/year. At baseline, average sleep duration was 6.4 (1.5) hours. Controlling for weight change and sleep medication, the intervention group reported greater improvements in sleep disturbance [-8.35 (-16.24, -0.45)] and sleep problems at 12 months: sleep problem index I [-8.35 (-16.24, -0.45)]; sleep problem index II [-8.35 (-16.24, -0.45)]. However, these findings did not persist at 18 months. Preventing weight gain may afford clinical benefit on improving sleep quality. The trial was registered with the ClinicalTrials.gov database (NCT00938535). |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 63% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 21% |
| Student > Bachelor | 13 | 11% |
| Researcher | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 40 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 21 | 18% |
| Medicine and Dentistry | 21 | 18% |
| Psychology | 11 | 9% |
| Social Sciences | 6 | 5% |
| Engineering | 2 | 2% |
| Other | 10 | 9% |
| Unknown | 46 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2017.
All research outputs
#5,364,324
of 25,390,203 outputs
Outputs from Annals of Behavioral Medicine
#524
of 1,482 outputs
Outputs of similar age
#83,903
of 306,190 outputs
Outputs of similar age from Annals of Behavioral Medicine
#13
of 27 outputs
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.