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Screening for Prediabetes and Type 2 Diabetes

Author/s: 
US Preventative Services task Force

IMPORTANCE An estimated 13% of all US adults (18 years or older) have diabetes, and 34.5%
meet criteria for prediabetes. The prevalences of prediabetes and diabetes are higher in older
adults. Estimates of the risk of progression from prediabetes to diabetes vary widely, perhaps
because of differences in the definition of prediabetes or the heterogeneity of prediabetes.
Diabetes is the leading cause of kidney failure and new cases of blindness among adults in the
US. It is also associated with increased risks of cardiovascular disease, nonalcoholic fatty liver
disease, and nonalcoholic steatohepatitis and was estimated to be the seventh leading cause
of death in the US in 2017. Screening asymptomatic adults for prediabetes and type 2
diabetes may allow earlier detection, diagnosis, and treatment, with the ultimate goal of
improving health outcomes.
OBJECTIVE To update its 2015 recommendation, the USPSTF commissioned a systematic
review to evaluate screening for prediabetes and type 2 diabetes in asymptomatic,
nonpregnant adults and preventive interventions for those with prediabetes.
POPULATION Nonpregnant adults aged 35 to 70 years seen in primary care settings who have
overweight or obesity (defined as a body mass index 25 and 30, respectively) and no
symptoms of diabetes.
EVIDENCE ASSESSMENT The USPSTF concludes with moderate certainty that screening for
prediabetes and type 2 diabetes and offering or referring patients with prediabetes to
effective preventive interventions has a moderate net benefit.
CONCLUSIONS AND RECOMMENDATION The USPSTF recommends screening for prediabetes
and type 2 diabetes in adults aged 35 to 70 years who have overweight or obesity. Clinicians
should offer or refer patients with prediabetes to effective preventive interventions.
(B recommendation)

Twenty-Four-Hour Movement Guidelines and Body Weight in Youth

Author/s: 
Zhu, X, Healy, S, Haegele, JA, Patterson, F

Objective

To examine the prevalence of youth meeting the 24-hour healthy movement guidelines (ie, ≥60 minutes of moderate-to-vigorous physical activity, ≤2 hours of screen time, age-appropriate sleep duration), and which combination of meeting these guidelines was most associated with bodyweight status, in a nationally representative US sample.

Study design

Cross-sectional data from the 2016-2017 National Survey of Children's Health were used. A multinomial regression model of body weight status was generated (underweight, overweight, obese vs healthy weight) and then stratified by sex. Analyses were adjusted for potential confounders.

Results

The sample (n = 30 478) was 50.4% female, 52.4% white, and the mean age was 13.85 ± 2.28 years; 15% percent were obese and 15.2% were overweight. Overall, 9.4% met all 3 of the 24-hour healthy movement guidelines, 43.6% met 2, 37.9% met 1, and 9.1% met none. Meeting zero guidelines (vs 3) was associated with the greatest likelihood of overweight (aOR, 1.85; 95% CI, 1.31-2.61), and obesity (aOR, 4.25; 95% CI, 2.87-6.31). Females (aOR, 4.97; 95% CI, 2.59-9.53) had higher odds of obesity than males (aOR, 3.99; 95% CI, 2.49-6.40) when zero (vs 3) guidelines were met. Meeting the moderate-to-vigorous physical activity guideline, either alone or in combination with screen time or sleep duration (vs all 3), was associated with the lowest odds for overweight and obesity in the full sample.

Conclusion

Meeting all movement guidelines was associated with the lowest risk for obesity, particularly in females. Meeting the moderate-to-vigorous physical activity guideline may be a priority to prevent overweight and obesity in youth.

Keywords 
24-hour healthy movement screen time sleep physical activity children adolescent

Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States: The STEP UP Randomized Clinical Trial

Author/s: 
Patel, M.S., Small, D.S., Harrison, J.D., Fortunato, M.P., Oon, A.L., Rareshide, C.A.L., Reh, G., Szwartz, G., Guszcza, J., Steier, D., Kalra, P., Hilbert V.

IMPORTANCE:

Gamification, the use of game design elements in nongame contexts, is increasingly being used in workplace wellness programs and digital health applications. However, the best way to design social incentives in gamification interventions has not been well examined.

OBJECTIVE:

To assess the effectiveness of support, collaboration, and competition within a behaviorally designed gamification intervention to increase physical activity among overweight and obese adults.

DESIGN, SETTING, AND PARTICIPANTS:

This 36-week randomized clinical trial with a 24-week intervention and 12-week follow-up assessed 602 adults from 40 states with body mass indexes (calculated as weight in kilograms divided by height in meters squared) of 25 or higher from February 12, 2018, to March 17, 2019.

INTERVENTIONS:

Participants used a wearable device to track daily steps, established a baseline, selected a step goal increase, were randomly assigned to a control (n = 151) or to 1 of 3 gamification interventions (support [n = 151], collaboration [n = 150], and competition [n = 150]), and were remotely monitored. The control group received feedback from the wearable device but no other interventions for 36 weeks. The gamification arms were entered into a 24-week game designed using insights from behavioral economics with points and levels for achieving step goals. No gamification interventions occurred during follow-up.

MAIN OUTCOMES AND MEASURES:

The primary outcome was change in mean daily steps from baseline through the 24-week intervention period.

RESULTS:

A total of 602 participants (mean [SD] age, 39 [10] years; mean [SD] body mass index, 30 [5]; 427 [70.9%] male) were included in the study. Compared with controls, participants had a significantly greater increase in mean daily steps from baseline during the intervention in the competition arm (adjusted difference, 920; 95% CI, 513-1328; P < .001), support arm (adjusted difference, 689; 95% CI, 267-977; P < .001), and collaboration arm (adjusted difference, 637; 95% CI, 258-1017; P = .001). During follow-up, physical activity remained significantly greater in the competition arm than in the control arm (adjusted difference, 569; 95% CI, 142-996; P = .009) but was not significantly greater in the support (adjusted difference, 428; 95% CI, 19-837; P = .04) and collaboration (adjusted difference, 126; 95% CI, -248 to 468; P = .49) arms than in the control arm.

CONCLUSIONS AND RELEVANCE:

All 3 gamification interventions significantly increased physical activity during the 24-week intervention, and competition was the most effective. Physical activity was lower in all arms during follow-up and only remained significantly greater in the competition arm than in the control arm.

TRIAL REGISTRATION:

ClinicalTrials.gov identifier: NCT03311230.

Keywords 
weigh loss programs competition

The effects of sleep extension on cardiometabolic risk factors: A systematic review

Author/s: 
Henst, R.H.P., Pienaar, P.R., Roden, L.C., Rae, D.E.

Studies have shown bidirectional relationships between short- or long-sleep duration and risk for obesity, non-communicable diseases, all-cause mortality and cardiovascular disease mortality. Increasing sleep duration may be an appropriate strategy to reduce cardiometabolic riskin short-sleeping individuals. The aim is to review the effects of sleep extension interventions on cardiometabolic risk in adults. The PubMed and Scopus databases were searched for relevant, English, peer-reviewed scientific publications (until August 2018). Seven studies that aimed to increase sleep duration in adults by any sleep extension intervention and described at least one cardiometabolic risk factor were included. These studies had a combined sample size of 138 participants who were either healthy (n = 14), healthy short-sleeping (n = 92), overweight short-sleeping (n = 10), or pre- or hypertensive short-sleeping (n = 22) individuals. The durations of the sleep extensioninterventions ranged from 3 days to 6 weeks, and all successfully increased total sleep time by between 21 and 177 min. Sleep extensionwas associated with improved direct and indirect measures of insulin sensitivity, decreased leptin and peptide tyrosine-tyrosine, and reductions in overall appetite, desire for sweet and salty foods, intake of daily free sugar, and percentage of daily caloric intake from protein. This review provides preliminary evidence for a role for sleep extension to improve cardiometabolic outcomes and directive towards future studies in the field of cardiometabolic health and sleep.

Keywords 
cardiovascular disease insulin sensitivity metabolic syndrome non-communicable diseases obese sleep duration
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