Obesity Science & Practice最新文献

[This corrects the article DOI: 10.1002/osp4.602.].

Background: Sedentary behaviors are associated with adverse health outcomes in older adults. The feasibility of behavioral interventions in this population is unclear.

Methods: In the Sit Less, Interact, Move More (SLIMM) trial of 106 participants who had obesity, those randomized to the SLIMM intervention (N = 54) were instructed to replace sedentary activities with stepping. An accelerometer was used to measure physical activity. In this secondary analysis, mixed effect models were used to examine the effects of the SLIMM intervention on sedentary and stepping durations and steps/day by age (<70 and ≥ 70 years).

Results: Mean ages in the <70 years (N = 47) and ≥70 years (N = 59) groups were 58 ± 11 and 78 ± 5. In the older subgroup, compared to standard-of-care (N = 29), the SLIMM intervention (N = 30) significantly increased stepping duration (13, 95%CI 1-24 min/d, p = 0.038) and steps per day (1330, 95% CI 322-2338, p = 0.01) and non-significantly decreased sedentary duration by (28,95% CI -61-5 min/d, p = 0.09). In the age <70 subgroup, there was no separation between the standard of care (N = 23) and SLIMM (N = 24) groups.

Discussion: In older adults who had obesity, SLIMM intervention significantly increased stepping duration and steps per day. Interventions targeting sedentary behaviors by promoting low intensity physical activity may be feasible in this population.

Background: Obesity disparities in the United States are well documented, but the limited body of research suggests that geographic factors may alter the magnitude of these disparities. A growing body of evidence has identified a "rural mortality penalty" where morbidity and mortality rates are higher in rural than urban areas, even after controlling for other factors. Black-White differences in health and mortality are more pronounced in rural areas than in urban areas.

Objective: Therefore, the purpose of this study was to explore how rural-urban status and region moderate Black-White health disparities in obesity.

Methods: Data were abstracted from the 2012 Behavioral Risk Factor Surveillance System, with the sample being restricted to Black and White respondents (n = 403,231). Respondents' county of residence was linked to US Census information to obtain the county-level Index of Relative Rurality (IRR) and Census division. Crude and adjusted logistic regression models were utilized to assess the magnitude of Black-White disparities in having obesity (yes/no) by IRR quartile and by Census division.

Results: Overall, Black-White differences in obesity were wider in rural than in urban counties, with a significant linear trend (p < 0.001). Furthermore, when stratified by US Census division, results revealed that disparities were significantly wider in rural than urban areas for respondents living in the Middle Atlantic and South Atlantic divisions. In contrast, the association was reversed for the remaining divisions (New England, East North Central, West North Central, Mountain, and Pacific), where the magnitude of the Black-White difference was the largest in urban areas.

Conclusion: Findings highlight the need to understand and account for critical place-based factors that exacerbate racial obesity disparities to develop and maximize the effectiveness of policies and programs designed to reduce racial inequalities and improve population health.

Background: While obesity is common in the United States, monogenic obesity is rare, accounting for approximately 5% of individuals with obesity. New targeted therapies for genetic forms of obesity are available but there is limited guidance on who requires testing. The aims of this study were to evaluate the prevalence of potentially clinically significant variants among individuals in Pediatric Endocrinology or Medical Weight Center clinics at a single center and to identify clinical characteristics that may make genetic obesity more likely.

Methods: Children and adults who had a genetic test for obesity, Uncovering Rare Obesity Gene panel, ordered during routine clinic visits from December 2019 to March 2021 were identified.

Results: Of the 139 patients with testing ordered, 117 had available results and clinical data. Over 40% (52/117, 44%) had at least one positive result (variant) with a variant that is considered pathogenic, likely pathogenic, or a variant of uncertain significance. No association was detected between age, sex, race, and body mass index (BMI) or BMI z-score with a variant. Twenty-six individuals (22%) had one or more variants in genes associated with Bardet Biedl Syndrome, and 8 (6.8%) of them had pathogenic variants, higher than expected.

Conclusion: Overall, clinical suspicion for genetic obesity is important in determining who requires genetic testing but no clinical factors were found to predict results. While obesity is multifactorial, novel medications for genetic forms of obesity indicate the need for evidence-based guidelines for who requires genetic testing for obesity.

Background: Obesity affects over 42% of the U.S. adult population, yet it remains undertreated. Many healthcare providers are biased in their perceptions and attitudes regarding obesity management and lack knowledge about how to treat it.

Methods: The authors analyzed the results of the 2021 DocStyles survey to examine primary care providers' treatment and perceptions of obesity. The sample consisted of primary care physicians and nurse practitioners/physician assistants. Questions assessed healthcare providers' attitudes and counseling behaviors related to obesity, including referrals, use of medical therapy, barriers to care, and perceived risk factors for obesity.

Results: 1168 primary care providers who treat obesity participated in the survey. About half of the providers reported referring patients for obesity treatment. Almost two-thirds of providers had prescribed anti-obesity medications in the last 12 months. Those who did not prescribe anti-obesity medications reported a lack of familiarity with the medications or concerns about safety. Over three-quarters of providers indicated at least one barrier to treating obesity. Over half of the providers reported that poverty and food insecurity contributed significantly to the high prevalence of obesity in communities of color.

Conclusion: Increased familiarity with anti-obesity medications may improve treatment. Reasons for patients' low priority accorded to obesity care remain the focus of future research.

Background: Multidisciplinary screening of bariatric surgery candidates is recommended, and some centers provide an additional preparation program (APP) to optimize patients preoperatively.

Objective: To compare patients with APP to standard care 2 years after primary bariatric surgery regarding postoperative weight loss and resolution of obesity-related comorbidities.

Methods: A retrospective cohort study was conducted for patients undergoing primary Roux-en-Y gastric bypass and sleeve gastrectomy between September 2017 and March 2019. The first 12 months patients received an APP, after September 2018, the APP was no longer part of the weight loss trajectory. A multivariable linear regression model was built.

Results: Of the 384 patients receiving an APP advice, 50 were lost to follow up. In total, 192 (57%) received the APP and 142 (43%) received standard care. Percentage total weight loss after 2 years was significantly different, 28.8% for the APP group versus 32% for the standard group (p = 0.001). Postoperative weight loss after 2 years was increased in patients who had a gastric bypass, a higher baseline body mass index, and female gender in multivariable analysis. An APP was predictive for decreased postoperative weight. Diabetes mellitus was in remission significantly more often in the preparation group (84.1% of the cases) compared with the standard group (61.9%, p = 0.028).

Conclusion: A weight loss trajectory is at least as effective without additional preparation in terms of 2 years postoperative %TWL for primary gastric bypass and sleeve procedures. For comorbidities, diabetes mellitus was in remission more often in the APP group.

Background: Dietary lapses can hinder weight loss and yoga can improve self-regulation, which may protect against lapses. This study examined the effect of yoga on dietary lapses, potential lapse triggers (e.g., affective states, cravings, dietary temptations), and reasons for initiating eating following weight loss treatment.

Methods: Sixty women with overweight/obesity (34.3 ± 3.9 kg/m²) were randomized to a 12 week yoga intervention (2x/week; YOGA) or contact-matched control (cooking/nutrition classes; CON) following a 12-week behavioral weight loss program. Participants responded to smartphone surveys (5x/day) over a 10-day period at baseline, 12, and 24 weeks to assess lapses and triggers.

Results: At 24 weeks, YOGA and CON differed on several types of lapses (i.e., less eating past full, eating more than usual, loss of control when eating, self-identified overeating, difficulty stopping eating in YOGA), and YOGA was less likely to eat to feel better or in response to stress (ps < 0.05). YOGA also reported less stress and anxiety and more positive affect (ps < 0.01); dietary temptations and cravings did not differ from CON.

Conclusion: Yoga resulted in fewer dietary lapses and improved affect among women with overweight/obesity following weight loss. While preliminary, findings suggest that yoga should be considered as a potential component of weight loss treatment to target dietary lapses.