| Literature DB >> 30264535 |
Cecelia Horstman1, Louis Aronne2, Rena Wing3, Donna H Ryan4, William D Johnson4.
Abstract
OBJECTIVE: Given the disease burden and economic costs of obesity in the United States, scalable approaches to weight loss and weight management are needed. This study evaluated self-reported weight-loss outcomes associated with a commercial intensive lifestyle intervention marketed to employers and delivered electronically to employees.Entities:
Mesh:
Year: 2018 PMID: 30264535 PMCID: PMC6646905 DOI: 10.1002/oby.22309
Source DB: PubMed Journal: Obesity (Silver Spring) ISSN: 1930-7381 Impact factor: 5.002
Figure 1Real Appeal engagement.
Characteristics of study sample
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|---|---|---|---|
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| 40,588 (77%) | 30,159 (78%) | 20,867 (77%) |
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| 45.2 ± 10.6 | 46.6 ± 10.4 | 47.4 ± 10.1 |
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| 35.5 ± 7.4 | 35.5 ± 7.3 | 35.4 ± 7.4 |
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| 13,865 (26%) | 10,563 (27%) | 7,666 (28%) |
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| 2,911 (6%) | 2,176 (6%) | 1,578 (6%) |
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| 28,276 (54%) | 20,409 (52%) | 13,655 (50%) |
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| 7,409 (14%) | 5,688 (15%) | 4,265 (16%) |
Data given as mean + SD or n (%).
Key outcomes based on analysis type
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|---|---|---|---|
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| 152,006 kg | 139,917 kg | 117,770 kg |
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| −2.9 kg (5.0) | −3.6 kg (5.4) | −4.3 kg (5.8) |
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| −2.8% (4.6) | −3.5% (5.0) | −4.3% (5.4) |
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| 11,989 (23) | 11,251 (29) | 9,775 (36) |
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| 13 (12) | 17 (12) | 22 (12) |
Logistic regression: characteristics influencing the likelihood of achieving 5% and higher weight loss (
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| −2.7377 | 0.0646 | <0.0001 | |||
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| −0.2403 | 0.026 | <0.0001 | 0.786 | 0.75 | 0.83 |
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| 0.9316 | 0.047 | <0.0001 | 2.539 | 2.32 | 2.78 |
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| 1.3327 | 0.0308 | <0.0001 | 3.791 | 3.57 | 4.03 |
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| −0.0339 | 0.0501 | 0.4991 | 0.967 | 0.88 | 1.07 |
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| −0.1275 | 0.0482 | 0.0081 | 0.88 | 0.80 | 0.97 |
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| −0.0136 | 0.0536 | 0.8001 | 0.987 | 0.89 | 1.10 |
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| 0.1383 | 0.0267 | <0.0001 | 1.148 | 1.09 | 1.21 |
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| 0.1092 | 0.0227 | <0.0001 | 1.115 | 1.07 | 1.17 |
aBased on US Census regions.