Using a holistic health approach to achieve weight-loss maintenance: results from the Spirited Life intervention.

Weight-loss maintenance is essential to sustain the health benefits of weight loss. Studies with lower intensity intervention supports under real-world conditions are lacking. This study examined changes in weight and cardiometabolic biomarkers among Spirited Life participants following initial 12-month weight loss at 12-24 months and 24-42 months. A total of 719 clergy received a wellness intervention, including a 10-week online weight-loss program in the first 12 months and monthly health coaching throughout 24 months. Mean changes in weight, blood pressure, high-density lipoproteins, and triglycerides were estimated using random effects linear models, accounting for repeated measures. Weight was additionally analyzed in subsamples stratified by body mass index (BMI). At baseline, 17.1% of participants had BMI < 25 kg/m2 and 11.8% had BMI ≥ 40 kg/m2. Mean 12-month weight loss was -2.4 kg (95% CI: -2.8 kg, -2.1 kg). On average, at 42 months, participants regained weight but did not exceed baseline (-0.5 kg, 95% CI: -1.2 kg, 0.2 kg), improvements in triglycerides were completely sustained (-13.9 mg/dL, 95% CI: -18.6 mg/dL, -9.2 mg/dL), and systolic blood pressure improvements remained significant (-1.9 mmHg, 95% CI: -3.0 mmHg, -0.9 mmHg). Participants with a BMI ≥ 40 kg/m2 lost significantly more weight that was sustained at 42 months (-5.8 kg, 95% CI: -8.9 kg, -2.7 kg). The Spirited Life wellness intervention produced weight loss and, for participants with higher levels of obesity, sustained weight-loss maintenance. The intervention was effective for long-term prevention of weight gain among participants with BMI of 25 to ≤40 kg/m2, through 42 months. Wellness interventions such as Spirited Life should be considered for adoption.

Duke Scholars

Author Rae Jean Proeschold-Bell Duke Global Health Institute

Author David E Eagle Duke Global Health Institute

Author Elizabeth Louise Turner Biostatistics & Bioinformatics, Division of Biostatistics