Clark, Matthew M.

Background: Physical activity (PA) prevents cardiovascular (CV) disease and maintains health. It is unclear which factors predict the adoption or maintenance of PA at a worksite wellness center. Methods: To assess the predictors of increase in PA we conducted a retrospective study on 7237 adults attending a worksite wellness center between September 2008 and October 2011. Upon joining the wellness center, participants completed an electronic or paper survey that assessed for the presence of CV risk factors, height, weight, self-perceived health behaviors and psychosocial factors using eleven validated 0-10 point scale. We included 1927 participants who completed the standard survey at the time of enrollment and at 12 months (+/- 90 days). For logistic regression analysis PA increase at 12 months was defined as an increase of ≥2 points of self-reported PA, on a 0 to 10 point scale, or maintenance of a high level of PA at follow up (FU). Results: Mean (SD) age was 38 (11) yr., BMI was 26.93 (6.06) kg/m 2 and 32% were men. From the study sample, 717 (37%) participants increased their PA level or maintained a high level of PA at FU. When comparing people who increased or maintained a high level of PA with the group without improvement or a decline in PA, there were differences in age and BMI: age [39 (11) vs. 38 (11) yr.; p=0.04] and BMI [27.37 (5.92) vs. 26.68 (5.92) kg/m 2 ; p=0.024]. The Table reports the results of the multivariate logistic regression model. While CV risk factors (tobacco use, hyperglycemia/diabetes mellitus, and high blood cholesterol), perceived stress level and self-perception of being overweight were not significant predictors of increase PA, low muscular strength and flexibility and interactions with close friends were significantly associated with PA. Conclusion: A significant proportion of people, over one-third, enrolled in a wellness center increase their PA level or maintain high levels of PA at 12 months after enrollment. Increasing age and BMI, and a measure of social support; interaction with close friends, and perceived muscular strength and flexibility, predict increase in PA. Presence of CV risk factors do not predict increase in PA. Tailoring programs to address these domains may help younger, less fit, and those with less social support improve their PA level.

Purpose To examine the feasibility and acceptability of a social network weight loss intervention delivered by lay health promoters (HPs) to immigrant populations. Design Single-arm, non-randomized, pilot study of a social network weight loss intervention developed by a community-based participatory research partnership and delivered by HPs. Setting Community-based setting in Southeastern Minnesota, United States. Sample Somali and Hispanic immigrants to the United States: 4 social networks of adults (2 Hispanic and 2 Somali) with 39 network participants. Intervention Twelve-week behavioral weight loss intervention delivered by HPs (4 weeks in-person and then 8 weeks virtual). Measures Feasibility was assessed by recruitment and retention rates. Acceptability was assessed by surveys and focus groups with HPs and participants. Behavioral measures included servings of fruits and vegetables, drinking soda, and physical activity. Physiologic measures included weight, blood pressure, glucose, cholesterol, and triglycerides. Analysis Paired t-tests of pre- to post-intervention changes at the end of 12 weeks of treatment. Results Recruitment was feasible and post-intervention was 100%. Participants highly rated the intervention on satisfaction, motivation, and confidence to eat a healthy diet, be physically active, and lose weight. Participants were motivated by group social support and cohesion of their social networks. On average, participants lost weight (91.6 ± 15.9 to 89.7 ± 16.6 kg, P < .0001), lowered their systolic blood pressure (133.9±16.9 to 127.2 ± 15.8 mm Hg; P < .001), lowered their diastolic blood pressure (81 ± 9.5 to 75.8 ± 9.6 mm Hg; P < .0001), had more servings of vegetables per day (1.9 ± 1.2 to 2.6 ± 1.4; P < .001), and increased their physical activity (2690 ± 3231 to 6595 ± 7322 MET-minutes per week; P = .02). Conclusion This pilot study of 2 immigrant communities who participated in a peer-led weight loss social network intervention delivered during the COVID-19 pandemic demonstrated high feasibility and acceptability. Participants lost weight, improved their health status, and improved their health behaviors.

BACKGROUNDCognitive‐behavioral stress management interventions are associated with improved psychological well‐being for cancer survivors. The availability of, access to, and outreach of these in‐person interventions are limited, however. The current study, therefore, evaluated the efficacy of StressProffen, a digital application (app)–based stress management intervention for cancer survivors, in a 12‐month randomized controlled trial.METHODSCancer survivors 1 year or less after their treatment (N = 172) were randomized to the StressProffen intervention (n = 84) or a usual‐care control group (n = 88). The intervention was delivered in a simple blended care model: 1) 1 in‐person introduction session, 2) 10 app‐based cognitive‐behavioral stress management modules, and 3) 2 follow‐up phone calls. Stress (Perceived Stress Scale), anxiety and depression (Hospital Anxiety and Depression Scale), self‐regulatory fatigue (Self‐Regulatory Fatigue 18), and health‐related quality of life (HRQOL; RAND‐36) were examined at the baseline and at 6 and 12 months. Generalized linear models for repeated measures were fitted to compare effects over time.RESULTSParticipants were mainly female (82%), had a mean age of 52 years (standard deviation, 11.3 years; range, 20‐78 years), and had a variety of cancer types (mostly breast cancer [48%]). Over the 12‐month study time, the intervention group reported significantly decreased stress (P < .001), depression (P = .003), and self‐regulatory fatigue (P = .002) as well as improved HRQOL (for 6 of 8 domains, P ≤ .015) in comparison with controls. The largest favored effects for the intervention group were observed at 6 months: stress (estimated mean difference [MD], –5.1; P < .001), anxiety (MD, –1.4; P = .015), depression (MD, –2.1; P < .001), self‐regulatory fatigue (MD, –4.9; P < .001), and HRQOL (7 of 8 domains; P ≤ .037).CONCLUSIONSDigital stress management interventions such as StressProffen have the potential to extend the outreach of psychological interventions and provide easily available and effective psychosocial support for cancer survivors.

Background: It is standard of care and an accreditation requirement to screen for and address distress and psychosocial needs in patients with cancer. This study assessed the availability of mental health (MH) and chemical dependency (CD) services at US cancer centers. Methods: The 2017–2018 American Hospital Association (AHA) survey, Area Health Resource File, and Centers for Medicare & Medicaid Services Hospital Compare databases were used to assess availability of services and associations with hospital-level and health services area (HSA)–level characteristics. Results: Of 1,144 cancer centers surveyed, 85.4% offered MH services and 45.5% offered CD services; only 44.1% provided both. Factors associated with increased adjusted odds of offering MH services were teaching status (odds ratio [OR], 1.76; 95% CI, 1.18–2.62), being a member of a hospital system (OR, 2.00; 95% CI, 1.31–3.07), and having more beds (OR, 1.04 per 10-bed increase; 95% CI, 1.02–1.05). Higher population estimate (OR, 0.98; 95% CI, 0.97–0.99), higher percentage uninsured (OR, 0.90; 95% CI, 0.86–0.95), and higher Mental Health Professional Shortage Area level in the HSA (OR, 0.99; 95% CI, 0.98–1.00) were associated with decreased odds of offering MH services. Government-run (OR, 2.85; 95% CI, 1.30–6.22) and nonprofit centers (OR, 3.48; 95% CI, 1.78–6.79) showed increased odds of offering CD services compared with for-profit centers. Those that were members of hospital systems (OR, 1.61; 95% CI, 1.14–2.29) and had more beds (OR, 1.02; 95% CI, 1.01–1.03) also showed increased odds of offering these services. A higher percentage of uninsured patients in the HSA (OR, 0.92; 95% CI, 0.88–0.97) was associated with decreased odds of offering CD services. Conclusions: Patients’ ability to pay, membership in a hospital system, and organization size may be drivers of decisions to co-locate services within cancer centers. Larger organizations may be better able to financially support offering these services despite poor reimbursement rates. Innovations in specialty payment models highlight opportunities to drive transformation in delivering MH and CD services for high-need patients with cancer.

Background: Regular exercise is considered a key element to maintain weight loss, but its role to induce weight loss has been controversial. Methods: In this retrospective study of 7237 individuals attending a worksite wellness center from September 2008 to October 2011 to assess predictors of weight loss at 12 months after joining. Upon joining the wellness center, participants completed a survey that assessed for the presence of cardiovascular risk factors, height, weight, self-perceived health behaviors and psychosocial factors using validated 11-point scale items. We limited the sample to 1927 overweight (25 < BMI ≤ 30) and obese (BMI > 30) participants who completed the survey in full at baseline and at 12 months (+/- 90 days). The outcome variable was weight change at 12 months after enrollment. Weight loss was defined as a loss of > 1kg. Results: Of 1927 participants, 998 (52%) were either overweight (n=573; 57%) or obese (n=425; 43%), and 60% were women. Mean (SD) age was 41 (11.5) yr, BMI 30.7 (5.5) kg/m 2 and they visited the wellness center 49 (90) times/year. At 12 months, 416 (42%) of the participants had lost >1 kg and 19% had lost > 5kg. The predictors of weight loss were: baseline BMI, [Odds Ratio (OR)= 1.56 (1.15-2.13); p < .0044] and [OR= 1.75 (1.26-2.44); p < .0010] for BMI between 30-35 and BMI ≥35, vs BMI between 25-29, respectively. In addition, visits/year [OR= 1.60 (1.19-2.16); p < .0010] and [OR= 1.85 (1.37-2.61); p < .0001] for those attending 13-52 sessions and > 52 visits/year, vs ≤ 12 visits/year, respectively. The association persisted after controlling for all covariates (ie, cardiovascular risk factors, self-perceived health behavior and psychosocial factors). The Table shows the results of the multivariate analysis assessing predictors for >1kg weight loss. Neither age, gender, perceived stress, self-perception of being overweight, following a healthy diet, nor history of hypertension, high blood cholesterol or diabetes predicted weight loss. Conclusions: A significant percentage of overweight or obese individuals lose weight after enrolling in a worksite wellness center. Frequency of attendance, baseline BMI, and support for maintaining a healthy living are associated with weight loss. These results suggest interventions to promote usage of wellness centers maybe be beneficial for the obese adult.

Central obesity has been associated with adverse events in patients with cardiovascular disease (CVD). We undertook this study to evaluate predictors of overweight awareness, desire to lose weight and weight loss attempts in patients with CVD and central obesity. Association of physician-rendered diagnosis of overweight with weight loss attempts was also evaluated. Data from National Health and Nutrition Examination Survey (NHANES) 1999 –2004 were used. CVD was defined as self-referred history of coronary artery disease or stroke. Central obesity was determined based on a waist circumference > 102 cm in men and > 88 cm in women. Motivational factors considered as determinant for behavioral change that were evaluated included: participants’ awareness of their overweight status; desire to lose weight; any weight loss attempts in last year. We examined demographic, anthropometric and clinical determinants of each stage of change using multivariate models. Of the 1484 participants with CVD that were identified in NHANES, 824 had central obesity (56%). 76% of centrally obese participants were aware of their overweight status and 79% were desirous of losing weight. Despite this awareness and desire, only 41% of centrally obese had attempted weight loss in the last year. Only 61% reported that they had been informed that they were overweight by physicians. On multivariate analysis, after adjusting for sociodemographic factors and body mass index, physician rendered diagnosis of overweight was a significant predictor of weight loss attempts (OR=2.5, 95% CI 1.3– 4.9, p= 0.006). Awareness of one’s overweight status strongly predicted desire to lose weight in multivariate models (OR=107.6, 95 % CI 42.9 –270.0, p<.0001) and desire to lose weight was linked to recent attempts to lose weight (OR 10.4, 95 % CI 2.8– 39.2, p= 0.0005), confirming that the Transtheoretical Model of behavioral change applies to the study population. In a nationally representative sample of participants with CVD and central obesity, physician-rendered diagnosis of overweight emerged as an important predictor of weight loss attempts. Efforts to promote weight loss should focus on interventions based on Transtheoretical Model of behavioral change.

The efficacy and safety of a fluid‐filled intragastric balloon (IGB) for weight loss in patients with cirrhosis on the liver transplantation (LT) waiting list is unknown. We enrolled stable compensated patients with body mass index >35 kg/m2 and on the waiting list for IGB placement endoscopically for a maximum of 6 months. A total of 8 patients (7 men) aged mean ± SD, 56 ± 4.6 years with Model for End‐Stage Liver Disease–sodium (MELD‐Na) scores 14.1 ± 3.4 experienced weight reduction (146 ± 22.2 kg versus 127 ± 21.6 kg [P = 0.005] with IGB in place and 130 ± 24.6 kg [P = 0.014] at 6 months), with a total body weight loss of 12.2% ± 8.8% with IGBs in place and 10.9% ± 8.9% at 6 months. Body fat decreased from 48.6% ± 5.8% to 40.6% ± 6.4% (P = 0.001) and lean mass increased from 51.3% ± 6% to 59.4% ± 6.4% (P = 0.001). No change in MELD‐Na scores occurred (P = 0.770). Early balloon retrieval was attributed to accommodative symptoms (n = 2) and liver decompensation (n = 1). Mallory Weiss tears (n = 3), but no portal hypertensive bleeding, occurred. Liver decompensation and/or hepatocellular carcinoma (HCC) developed in 3 patients. A total of 4 patients with LT ± sleeve gastrectomy maintained overall weight loss. Of 4 patients who did not receive transplants, 2 experienced weight regain. IGB results in short‐term weight loss in patients with cirrhosis awaiting LT, with body fat loss without lean mass loss. Adverse effects were common. Decompensation and HCC did occur, with uncertainty of the relation to weight loss, and thus careful patient selection and close follow‐up are required.

ObjectiveLittle is known about the predictors of response to obesity interventions.MethodsIn 450 participants with obesity, body composition, resting energy expenditure, satiety, satiation, eating behavior, affect, and physical activity were measured by validated studies and questionnaires. These variables were used to classify obesity phenotypes. Subsequently, in a 12‐month, pragmatic, real‐world trial performed in a weight management center, 312 patients were randomly assigned to phenotype‐guided treatment or non‐phenotype‐guided treatment with antiobesity medications: phentermine, phentermine/topiramate, bupropion/naltrexone, lorcaserin, and liraglutide. The primary outcome was weight loss at 12 months.ResultsFour phenotypes of obesity were identified in 383 of 450 participants (85%): hungry brain (abnormal satiation), emotional hunger (hedonic eating), hungry gut (abnormal satiety), and slow burn (decreased metabolic rate). In 15% of participants, no phenotype was identified. Two or more phenotypes were identified in 27% of patients. In the pragmatic clinical trial, the phenotype‐guided approach was associated with 1.75‐fold greater weight loss after 12 months with mean weight loss of 15.9% compared with 9.0% in the non‐phenotype‐guided group (difference −6.9% [95% CI −9.4% to −4.5%], P < 0.001), and the proportion of patients who lost >10% at 12 months was 79% in the phenotype‐guided group compared with 34% with non‐phenotype‐guided treatment group.ConclusionsBiological and behavioral phenotypes elucidate human obesity heterogeneity and can be targeted pharmacologically to enhance weight loss.