Abstract P338: Adults With Obstructive Sleep Apnea Have Lower Adherence to Weight Loss Behaviors in a Behavioral Weight Loss Intervention

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Lora E Burke ◽  
Yaguang Zheng ◽  
Susan M Sereika ◽  
Christopher C Imes ◽  
...  

Introduction: Obesity is a primary risk factor for obstructive sleep apnea (OSA), and weight loss is a common recommendation for adults with OSA. However, we previously found that adults with OSA lost less weight than those without OSA during a 12-month behavioral weight loss intervention. The potential mechanisms underlying the blunted weight loss among those with OSA are currently unclear; however, one potential explanation may be lower adherence to the intervention and its prescribed behaviors. Purpose: These analyses examined whether measures of adherence to a behavioral weight loss intervention differed between adults with and without OSA. Methods: The sample was comprised of adults who were overweight or obese (N=114; 50.4±10.5 y, body mass index [BMI]: 34.0±4.6 kg/m 2 ; 90.4% female, 82.5% white) who participated in a 12-mo behavioral weight loss intervention study. Participants wore a home sleep testing device (ResMed ApneaLink Plus) for one night at baseline (BL), 6 mo (6M), and 12 mo (12M). Those with an apnea-hypopnea index ≥ 5 were categorized as having OSA. Adherence to the intervention was assessed by: 1) attendance at group intervention sessions over 12 mo; 2) frequency of meeting daily caloric intake goals over 12 mo; 3) objectively-measured changes from BL in physical activity (steps/day, sedentary time, moderate-vigorous physical activity [MVPA]). Linear mixed models estimated the impact of OSA on these measures of intervention adherence following adjustment for sex, age, race, marital status, smoking status, and baseline BMI, while considering participant to be a random effect. Results: About half (52%) of the participants had OSA at BL, while 41 % had OSA at 6M. Attendance at group sessions did not differ between those with and without OSA over 12 mo (74.5 vs. 75.7%; P=.72). However, adults with OSA met their caloric intake goal less frequently than those without OSA (25.2 vs. 34.8%; P=.006), and adults with OSA increased their steps/day (+378.3 vs. 1060.1; P=.047) and MVPA min/day (+2.1 vs. +6.4; P=.056) less than those without OSA. Reductions in sedentary behavior (min/day) did not differ between those with and without OSA (-7.1 vs. -9.1; P=.81). Conclusions: These data suggest that the blunted weight loss observed among adults with OSA may be at least partially attributable to lower levels of adherence to prescribed goals for caloric intake and physical activity. Additional strategies (e.g., OSA screening and treatment referral, supplemental sessions on diet and MVPA) may be needed to achieve improved adherence to the lifestyle behaviors that lead to weight loss among adults with OSA.

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Zhadyra H Bizhanova ◽  
Susan M Sereika ◽  
Daniel Buysse ◽  
Christopher C Imes ◽  
...  

Introduction: Sleep is consistently associated with obesity risk, but minimal research has examined its relationship with attempted weight loss. Most of the available evidence has focused on sleep duration, which fails to recognize the multidimensional nature of sleep. Purpose: To examine the relationship between a composite measure of sleep health and weight change in a sample of adults who participated in a 12-month behavioral weight loss intervention. Methods: 125 adults with overweight or obesity enrolled in the EMPOWER study (50.3±10.6 years, 91% female, 81% white) were included in analyses. All individuals participated in a 12-month behavioral weight loss intervention, with assessments at baseline, 6 months, and 12 months. Six dimensions of sleep were included in our operationalization of sleep health: regularity, satisfaction, alertness, timing, efficiency, and duration. Sleep dimensions were assessed using validated questionnaires and actigraphy, with values dichotomized into ‘good’ and ‘poor’ sleep. A composite sleep health score was calculated based upon the sum of the ‘good’ individual dimensions (range: 0-6), with higher scores indicating better sleep health. Obstructive sleep apnea (OSA) was assessed in a subset of participants (n=117) with a portable home sleep testing device, using the apnea-hypopnea index (AHI) as a marker of OSA severity. Linear mixed modeling was used to examine the relationship between sleep health and weight change during the subsequent 6-month interval with adjustment for age, gender, bed partner, and race. An additional model adjusted for AHI along with the previously noted covariates. Results: Mean sleep health was 4.5±1.1 at baseline and 4.5±1.2 at 6 months, and mean % weight change from 0 to 6 months and 6 to 12 months was -9.3±6.1% and 0.4±4.8%, respectively. In the adjusted model, greater sleep health was associated with greater weight loss (b=-0.77, SE=0.32; P=.02). Following additional adjustment for AHI, the relation between sleep health and weight loss was no longer significant (b=-0.53, SE=0.34; P=.12). Among individual sleep dimensions, only regularity and satisfaction showed trends to be associated with weight change (b=-1.28, SE=0.72 [P=.08] and b=-1.67, SE=0.86 [P=.06], respectively); however, these marginal associations were not retained after AHI adjustment (each P=.15). Conclusions: Better sleep health was associated with greater weight loss, but this association did not persist after accounting for OSA severity. Because OSA negatively impacts sleep health, future research should address whether improving sleep health, OSA, and/or the combination leads to better weight loss.


2016 ◽  
Vol 48 ◽  
pp. 155
Author(s):  
Renee J. Rogers ◽  
Erik B. Schelbert ◽  
Bethany Barone Gibbs ◽  
Meghan R. McGuire ◽  
Seth A. Creasy ◽  
...  

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1759-1759
Author(s):  
Carli Liguori ◽  
Renee Rogers ◽  
John Jakicic

Abstract Objectives Successful weight loss interventions often require a multipronged approach. The need for interventions that incorporate both physical activity and dietary methodologies is apparent. The present study aimed to assess whether there were differential effects on dietary change within the context of a behavioral weight loss intervention that included different doses of physical activity. Methods Participants (N = 383; Age = 44.7 ± 8.2 years, BMI = 32.4 ± 3.8 kg/m2) were randomized to a reduced calorie diet (DIET, N = 127), diet plus a moderate dose of physical activity (MOD-EX, N = 129), or diet plus a high dose of physical activity (HIGH-EX, N = 127). All groups received weekly in-person intervention sessions for months 1–6, with combined in-person and telephonic sessions for months 7–12. Diet was prescribed at 1200–1800 kcal/day. MOD-EX was prescribed physical activity that progressed to 150 min/wk and HIGH-EX progressed to 250 min/wk. Physical activity, weight, and dietary intake were assessed. Dietary intake was assessed using the DHQII questionnaire. Results Retention at 12 months was 86.6% in DIET, 80.6% in MOD-EX, and 83.5% in HIGH-EX. Physical activity at 0 and 12 months was 65.4 ± 73.8 and 88.2 ± 104.3 min/wk in DIET; 68.7 ± 93.8 and 179.1 ± 125.3 min/wk in MOD-EX; and 71.5 ± 84.4 and 228.8 ± 148.3 min/wk in HIGH-EX (Group X Time P < 0.001). Weight decreased at 12 months (DIET: −9.9 ± 8.3 kg, MOD-EX: −10.8 ± 8.2 kg, HIGH-EX: −9.5 ± 7.3 kg) (P < 0.001), with no difference between groups. Energy intake decreased from baseline in all groups (6 mo: −495 ± 25.8 kcal/day, 12 mo: −502 ± 25.0 kcal/day) (P < 0.001). Percent dietary fat intake decreased (6 mo: −5.0 ± 0.4%, 12 mo: −3.8 ± 0.4%) (P < 0.001), whereas there was a non-significant increase in % carbohydrate intake (6 mo: 3.5 ± 0.4%, 12 mo: 3.0 ± 0.5%) and % protein intake (6 mo: 1.3 ± 0.2%, 12 mo: 1.0 ± 0.2%), with no difference between groups. Conclusions Weight loss was observed in all the interventions and physical activity did not enhance the weight loss that was observed. Also, the changes in diet that included reducing calories and fat intake were not impacted by the addition of physical activity. These findings have implications for interventions for weight loss in adults with obesity. Funding Sources National Institutes of Health.


2018 ◽  
Vol 93 (9) ◽  
pp. 1290-1298 ◽  
Author(s):  
Christopher E. Kline ◽  
Lora E. Burke ◽  
Susan M. Sereika ◽  
Christopher C. Imes ◽  
Bonny Rockette-Wagner ◽  
...  

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