Bicycling over a Lifetime Is Associated with Less Symptomatic Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

INTRODUCTION: To evaluate the relationship between a history of bicycling and symptomatic and structural outcomes of knee osteoarthritis (OA), the most common form of arthritis. METHODS: This was a retrospective, cross-sectional study within the Osteoarthritis Initiative (OAI), where we investigated OAI participants with complete data on bicycling, knee pain, and radiographic evidence of knee OA. We used a self-administered questionnaire at the 96-month OAI visit to identify participation in bicycling during four time periods throughout a participant's lifetime (ages 12-18, 19-34, 35-49, and > 50 years old). Using logistic regression, we evaluated the influence of prior bicycling status (any history, history for each time period, number of periods cycling) on three outcomes at the 48-month OAI visit: frequent knee pain, radiographic OA (ROA), and symptomatic radiographic OA (SOA), adjusting for age and gender. RESULTS: 2607 participants were included; 44.2% were male; mean age was 64.3 (SD 9.0) years; body mass index was 28.5 (SD 4.9) kg/m 2 . The adjusted risk ratio for the outcome of frequent knee pain, ROA, and SOA among those who reported any history of bicycling compared to non-bicyclers was 0.83 (0.73-0.92), 0.91 (0.85-0.98), and 0.79 (0.68-0.90), respectively. We observed a dose-response among those who participated in bicycling during more time periods. CONCLUSIONS: People who participated in bicycling had a lower prevalence of frequent knee pain, ROA, and SOA. The benefit appeared cumulative. This study indicates that bicycling may be favorable to knee health and should be encouraged.

Gardening/yardwork in people with knee osteoarthritis is not associated with symptom or structural progression over 48 months: data from the Osteoarthritis Initiative.

OBJECTIVE: To evaluate the relationship of gardening/yardwork with symptomatic and structural progression in those with pre-existing radiographic knee osteoarthritis (OA) in the Osteoarthritis Initiative (OAI), an observational study designed to evaluate potential and known biomarkers and risk factors of knee OA. METHODS: We conducted a cohort study nested within the OAI, including participants ≥ 50 years old with radiographic OA in at least one knee at the time of OAI enrollment. A participant reported the level of gardening/yardwork activity in a self-administered survey. Logistic regression analyses were used to evaluate the association of gardening/yardwork on new frequent knee pain, Kellgren-Lawrence (KL) worsening, medial joint space narrowing (JSN) worsening, and improved frequent knee pain. RESULTS: Of 1808 knees (1203 participants), over 60% of knees had KL grade = 2, 65% had medial JSN, and slightly more than a third had frequent knee symptoms. Gardeners/yardworkers and non-gardners/yardworkers had similar "worsening" outcomes for new knee pain (29% vs. 29%), KL worsening (19% vs. 18%), and medial JSN (23% vs. 24%). The adjusted odds ratio (OR) for the "worsening" outcomes of new knee pain, KL worsening, and medial JSN worsening were 1.0 (0.7-1.3), 1.0 (0.8-1.3), and 1.1 (0.9-1.4), respectively. The gardeners/yardworkers had an adjusted OR of 1.2 (0.9-1.7) for improved knee pain compared with non-gardners/yardworkers. CONCLUSION: Gardening/yardwork is not associated with knee OA progression and should not be discouraged in those with knee OA. Key Points • Gardening/yardwork is not associated with knee OA symptomatic or structural progression. • Gardening/yardwork should not be discouraged in people with knee OA.

Perceived and calculated diet quality improvements in a randomized mHealth weight loss trial.

The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes.

Strength Training Is Associated With Less Knee Osteoarthritis: Data From the Osteoarthritis Initiative.

OBJECTIVE: We aimed to evaluate the relationship of a history of strength training with symptomatic and structural outcomes of knee osteoarthritis (OA). METHODS: This study was a retrospective, cross-sectional study within the Osteoarthritis Initiative (OAI), a multicenter prospective longitudinal observational study. Data were collected at four OAI clinical sites: Memorial Hospital of Rhode Island, the Ohio State University, the University of Pittsburgh, and the University of Maryland/Johns Hopkins. The study included 2,607 participants with complete data on strength training, knee pain, and radiographic evidence of knee OA (male, 44.2%; mean ± SD age 64.3 ± 9.0 years; mean ± SD body mass index 28.5 ± 4.9 kg/m2 ). We used a self-administered questionnaire at the 96-month OAI visit to evaluate the exposure of strength training participation during four time periods throughout a participant's lifetime (ages 12-18, 19-34, 35-49, and ≥50 years old). The outcomes (dependent variables) were radiographic OA (ROA), symptomatic radiographic OA (SOA), and frequent knee pain. RESULTS: The fully adjusted odds ratios (95% confidence interval) for frequent knee pain, ROA, and SOA among those who participated in strength training any time in their lives were 0.82 (0.68-0.97), 0.83 (0.70-0.99), and 0.77 (0.63-0.94), respectively. Findings were similar when looking at the specific age ranges. CONCLUSION: Strength training is beneficial for future knee health, counteracting long-held assumptions that strength training has adverse effects.

Translating the Diabetes Prevention Program Lifestyle Intervention to the Military Setting.

INTRODUCTION: Diabetes and obesity pose a significant burden for the U.S. military beneficiary population, creating a great need to provide evidence-based diabetes and obesity prevention services for military personnel, retirees, and their dependents. Despite increasing dissemination of the Diabetes Prevention Program (DPP) lifestyle intervention nationwide, formal evaluation of implementation of this highly successful program is limited in the military setting. The purpose of this study is to prospectively evaluate delivery of a direct adaptation of a 1-year DPP lifestyle intervention at a U.S. Air Force medical facility, Wright-Patterson Medical Center (WPMC), to determine the feasibility of delivery of the program in a group of at-risk active duty military, retirees, and family members, as well as assess effectiveness in improving weight and other risk factors for type 2 diabetes. MATERIALS AND METHODS: A pre/post study design was utilized to evaluate feasibility and effectiveness of the DPP Group Lifestyle Balance (GLB), an up-to-date, 22-session direct adaptation of the DPP curriculum, at WPMC. Participants chose to complete the 1-year program either in coach-led face-to-face groups or via DVD with weekly telephonic coach contact. The study was approved by the University of Pittsburgh and WPMC Institutional Review Boards. RESULTS: A total of 99 individuals enrolled in the study, with 83 (84%) and 77 (78%) completing 6- and 12-month follow-up assessments, respectively. The mean age of participants at baseline was 57 (range 20-85 years), with 63% being female. The group was comprised of individuals who were non-Hispanic White (73.7%), non-Hispanic Black (18.2%), and other race or Hispanic ethnicity (8.1%). Within this group, there were 10 active duty military, 37 retirees, and 52 family members. The DPP-GLB program was shown to be feasible to implement in this military healthcare setting as demonstrated by the high engagement over the course of the year-long program. Significant improvements were shown in the two main behavioral goals: mean weight (-12.8 lbs, -6.3%, P < .001) and mean physical activity (PA) (+18.9 Met-hrs/wk, P < .001). In addition, significant improvements in other diabetes and cardiovascular risk factors including low-density lipoprotein cholesterol, fasting insulin, diastolic blood pressure, and waist circumference were noted, as well as improvement in health-related quality of life. CONCLUSIONS: These results demonstrate that the DPP-GLB program delivered via face-to-face groups or DVD was feasible and effective in improving weight, PA levels, and diabetes and cardiovascular risk factors in this group of active and retired military personnel and their family members. The program was well received by the program participants as well as the WPMC team. These findings offer a model for provision of the DPP-GLB program throughout the Military Health System.

Effect of an mHealth weight loss intervention on Healthy Eating Index diet quality: the SMARTER randomised controlled trial.

In the few weight loss studies assessing diet quality, improvements have been minimal and recommended calculation methods have not been used. This secondary analysis of a parallel group randomised trial (regsitered: https://clinicaltrials.gov/ct2/show/NCT03367936) assessed whether self-monitoring with feedback (SM + FB) v. self-monitoring alone (SM) improved diet quality. Adults with overweight/obesity (randomised: SM n 251, SM + FB n 251; analysed SM n 170, SM + FB n 186) self-monitored diet, physical activity and weight. Real-time, personalised feedback, delivered via a study-specific app up to three times daily, was based on reported energy, fat and added sugar intake. Healthy Eating Index 2015 (HEI-2015) scores were calculated from 24-hour recalls. Higher scores represent better diet quality. Data were collected August 2018 to March 2021 and analysed spring 2022. The sample was mostly female (78·9 %) and white (85·4 %). At baseline, HEI-2015 total scores and bootstrapped 95 % CI were similar by treatment group (SM + FB: 63·11 (60·41, 65·24); SM: 61·02 (58·72, 62·81)) with similar minimal improvement observed at 6 months (SM + FB: 65·42 (63·30, 67·20); SM: 63·19 (61·22, 64·97)) and 12 months (SM + FB: 63·94 (61·40, 66·29); SM: 63·56 (60·81, 65·42)). Among those who lost ≥ 5 % of baseline weight, HEI-2015 scores improved (baseline: 62·00 (58·94, 64·12); 6 months: 68·02 (65·41, 71·23); 12 months: 65·93 (63·40, 68·61)). There was no effect of the intervention on diet quality change. Clinically meaningful weight loss was related to diet quality improvement. Feedback may need to incorporate more targeted nutritional content.

Reaching high-risk Black adults for diabetes prevention programming during a pandemic: The design of Fit & Faithful a randomized controlled community trial.

Obesity is a key risk factor for Type 2 diabetes (T2D). Alarmingly, 87% of US adults have overweight or obesity, with non-Hispanic black adults having higher obesity and T2D prevalence than non-Hispanic white. The Diabetes Prevention Program (DPP) demonstrated the clinical benefits of lifestyle intervention (LI). While the DPP LI is effective, some participants don't achieve clinically significant weight loss in the current group-based translation paradigm. Black adults have the lowest adjusted weight loss (3.2%) among all racial/ethnic groups. Early intervention nonresponse defined as ≤1% weight loss at intervention week 4 is linked to lower probability of achieving weight loss goals. This paper describes the design and methods of a cluster randomized controlled trial among black weight loss nonresponders nested in 20 community sites (primarily churches). Descriptions of the adaptations made to transition the program to virtual format during the COVID-19 pandemic are also included. Trained community health workers deliver a group-based, 6-month long DPP over 18 sessions via Zoom. Additionally, nonresponders in the enhanced group receive weekly telephone support to provide individual-level intervention to help overcome weight loss barriers. Outcomes include weight, physical activity level, blood pressure, and dietary behaviors; these are compared between nonresponders in the enhanced intervention group and nonresponders in the active control group. Cost, mediators, and moderators are explored. If found to efficacious, these enhanced strategies could be standardized as a supplement for use with DPP nonresponders.

Association Between Walking for Exercise and Symptomatic and Structural Progression in Individuals With Knee Osteoarthritis: Data From the Osteoarthritis Initiative Cohort.

OBJECTIVE: To assess the relationship between walking for exercise and symptomatic and structural disease progression in individuals with knee osteoarthritis (OA). METHODS: We assessed a nested cohort of participants age 50 years or older within the Osteoarthritis Initiative, a community-based observational study in which subjects were enrolled between 2004 and 2006. We focused on 4 dichotomous outcomes from baseline to the 48-month visit, involving determination of the frequency of knee pain and radiographic severity of knee OA on posteroanterior semiflexed knee radiographs. The outcomes assessed included 1) new frequent knee pain, 2) worsening of radiographic severity of knee OA based on the Kellgren/Lawrence grade, 3) progression of medial joint space narrowing, and 4) improved frequent knee pain. We used a modified version of the Historical Physical Activity Survey Instrument to ascertain those subjects who reported walking for exercise after age 50 years. The survey was administered at the 96-month visit (2012-2014). RESULTS: Of 1,212 participants with knee OA, 45% were male and 73% reported walking for exercise. The mean ± SD age was 63.2 ± 7.9 years, and the mean ± SD body mass index was 29.4 ± 4.6 kg/m2 . The likelihood of new frequent knee pain was reduced in participants with knee OA who walked for exercise as compared to those who were non-walkers (odds ratio [OR] 0.6, 95% confidence interval [95% CI] 0.4-0.8), and progression of medial joint space narrowing was less common in walkers compared to non-walkers (OR 0.8, 95% CI 0.6-1.0). CONCLUSION: In individuals with knee OA who were age 50 years or older, walking for exercise was associated with less frequent development of knee pain. These findings support the notion that walking for exercise should be encouraged for people with knee OA. Furthermore, we offer a proof of concept that walking for exercise could be disease modifying, which warrants further study.

The Likely Underestimated Impact of Lifestyle Intervention: Diabetes Prevention Program Translation Examples.

INTRODUCTION: Lifestyle interventions promoting weight loss and physical activity are important elements of prevention efforts with the evaluation of program impact typically limited to weight loss. Unfortunately, diabetes/cardiovascular disease risk factors and activity are infrequently reported and inconsistent in findings when examined. This inconsistency may partially be due to a lack of consideration for ceiling effects because of broad risk profile inclusion criteria in community translation efforts. To demonstrate this, change in each individual cardiometabolic risk factor limited to those who, at baseline, had a clinically defined abnormal value for that risk factor was examined in 2 cohorts using identical community translations of the Diabetes Prevention Program lifestyle intervention. METHODS: For both studies (2010-2014, 2014-2019), adults with prediabetes and/or metabolic syndrome were recruited through community centers. Outcome measures collected at baseline and 6 months included BMI, activity, blood pressure, lipids, and fasting glucose. Data analyses examined pre-post change in each variable after 6 months of intervention and change within randomized groups at 6 months. RESULTS: Change results were examined for the entire cohort and separately for participants with baseline values outside the recommended range for that risk factor. Whether assessing the pre-post intervention change or change within the randomized groups at 6 months, often the risk factor-specific approach demonstrated a greater effect size for that variable and sometimes newly reached statistical significance. CONCLUSIONS: When examining the effectiveness of community translation efforts, consideration of the individual's baseline profile with risk factor-specific analysis is suggested to understand the full extent of the impact of the intervention.

Metabolic Syndrome Trajectories and Objective Physical Performance in Mid-to-Early Late Life: The Study of Women's Health Across the Nation (SWAN).

BACKGROUND: Little is known about how adverse, midlife metabolic profiles affect future physical functioning. We hypothesized that a higher number of midlife metabolic syndrome (MetS) components are associated with poorer physical performance in early old age for multiethnic women. METHODS: MetS status from 1996 to 2011 (8 visits) and objective physical performance in 2015/2016 (Short Physical Performance Battery [SPPB; 0-12], 40-foot walk [meter/second], 4-meter gait speed [meter/second], chair stands [seconds], stair climb [seconds]) were assessed in the Study of Women's Health Across the Nation (SWAN; n = 1722; age 65.4 ± 2.7 years; 26.9% African American, 10.1% Chinese, 9.8% Japanese, 5.5% Hispanic). Poisson latent class growth modeling identified MetS component trajectory groups: none (23.9%), 1 = low-MetS (28.7%), 2 = mid-MetS (30.9%), and ≥3 = high-MetS (16.5%). Adjusted linear regression related MetS groups to physical performance outcomes. RESULTS: High-MetS versus none had higher body mass index, pain, financial strain, and lower physical activity and self-reported health (p < .0001). Compared with White, African American and Hispanic women were more likely to be in the high-MetS groups and had worse physical functioning along with Chinese women (SPPB, chair stand, stair climb, and gait speed-not Hispanic). After adjustments, high-MetS versus none demonstrated significantly worse 40-ft walk (ß: -0.08; 95% CI: -0.13, -0.03), gait speed (ß: -0.09; 95% CI: -0.15, -0.02), SPPB (ß: -0.79; 95% CI: -1.15, -0.44), and chair stands (ß: 0.69; 95% CI: 0.09, 1.28), but no difference in stair climb. CONCLUSIONS: Midlife MetS groups were related to poor physical performance in early old age multiethnic women. Midlife management of metabolic function may improve physical performance later in life.

The role of Sociodemographic factors on goal achievement in a community-based diabetes prevention program behavioral lifestyle intervention.

BACKGROUND: The Diabetes Prevention Program (DPP) behavioral lifestyle intervention was effective among a diverse sample of adults with prediabetes. Demonstrated effectiveness in translated versions of the DPP lifestyle intervention (such as Group Lifestyle Balance, DPP-GLB) led to widescale usage with national program oversight and reimbursement. However, little is known about the success of these DPP-translation programs across subgroups of sociodemographic factors. This current effort investigated potential disparities in DPP-translation program primary goal achievement (physical activity and weight) by key sociodemographic factors. METHODS: Data were combined from two 12-month community-based DPP-GLB trials among overweight/obese individuals with prediabetes and/or metabolic syndrome. We evaluated change in weight (kilograms and percent) and activity (MET-hrs/week) and goal achievement (yes/no; ≥5% weight loss and 150 min per week activity) after 6 and 12 months of intervention within and across subgroups of race/ethnicity (non-Hispanic white, non-Hispanic black), employment status, education, income, and gender. RESULTS: Among 240 participants (85%) with complete data, most sociodemographic subgroups demonstrated significant weight loss. However, non-Hispanic white lost more weight at both 6 and 12 months compared to non-Hispanic black participants [median weight loss (IQR), 6 months: 5.7% (2.7-9.0) vs. 1.5% (1.2-7.5) p = .01 and 12 months: 4.8% (1.1-9.6) vs. 1.1% (- 2.0-3.7) p = .01, respectively]. In addition, a larger percentage of non-Hispanic white demonstrated a 5% weight loss at 6 and 12 months. Employment was significantly related to 12-month weight loss, with retired participants being the most successful. Men, participants with graduate degrees, and those with higher income were most likely to meet the activity goal at baseline and 12 months. Differences in physical activity goal achievement across gender, education, and income groups were significant at baseline, attenuated after 6 months, then re-emerged at 12 months. CONCLUSIONS: The DPP-GLB was effective in promoting weight loss and helped to alleviate disparities in physical activity levels after 6 months. Despite overall program success, differences in weight loss achievement by race/ethnicity were found and disparities in activity re-emerged after 12 months of intervention. These results support the need for intervention modification providing more tailored approaches to marginalized groups to maximize the achievement and maintenance of DPP-GLB behavioral goals. TRIAL REGISTRATION: NCT01050205 , NCT02467881 .

Data driven patterns of nutrient intake and coronary artery disease risk in adults with type 1 diabetes.

AIMS: Dietary intake provides a potential intervention target to reduce the high risk for coronary artery disease (CAD) in type 1 diabetes. This effort aimed to identify patterns of nutrient intake in young/middle-aged adults with type 1 diabetes and to examine associations between those patterns and development of CAD. METHODS: Principal component analysis was used to derive nutrient intake patterns among 514 individuals with childhood-onset (<17 years old) type 1 diabetes aged 18+ years and free of CAD (defined as CAD death, myocardial infarction, revascularization, ischemia, or study physician diagnosed angina). Cox models were used to assess the association between nutrient patterns and CAD incidence over 30-years of follow-up. RESULTS: Three nutrient principal components (PC) were identified: PC1 (high caffeine and saccharin intake), PC2 (high alcohol and caffeine, lower intake of essential nutrients) and PC3 (higher fiber/micronutrients, low alcohol). In unadjusted Cox models, only PC1 (negatively) and PC2 (positively) were associated with CAD risk. These associations were no longer significant after adjusting for diabetes duration. CONCLUSIONS: Important dietary components underlying the three patterns identified may have been influenced by diabetes duration or age. Future research can continue to explore patterns of nutrient intake over time and CAD development in type 1 diabetes.

The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics.

INTRODUCTION: The American Heart Association created "Life's Simple Seven" metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. METHODS: Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. RESULTS: Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the "ideal" and "total" metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. CONCLUSION: AHA-metrics could have clinical utility in estimating an individual's cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.

Impact of Maintenance Session Attendance and Early Weight Loss Goal Achievement on Weight Loss Success in a Community-Based Diabetes Prevention Program Intervention.

PURPOSE: The purpose of this study was to examine how maintenance session attendance and 6-month weight loss (WL) goal achievement impacted 12-month 5% WL success in older adults participating in a community-based Diabetes Prevention Program (DPP) lifestyle intervention. METHODS: Data were combined from 2 community trials that delivered the 12-month DPP-based Group Lifestyle Balance (GLB) to overweight/obese adults (mean age = 62 years, 76% women) with prediabetes and/or metabolic syndrome. Included participants (n = 238) attended ≥4 core sessions (months 0-6) and had complete data on maintenance attendance (≥4 of 6 sessions during months 7-12) and 6- and 12-month WL (5% WL goal, yes/no). Multivariate logistic regression was used to estimate the odds of 12-month 5% WL associated with maintenance attendance and 6-month WL. Associations between age (Medicare-eligible ≥65 vs <65 years) and WL and attendance were examined. RESULTS: Both attending ≥4 maintenance sessions and meeting the 6-month 5% WL goal increased the odds of meeting the 12-month 5% WL goal. For those not meeting the 6-month WL goal, maintenance session attendance did not improve odds of 12-month WL success. Medicare-eligible adults ≥65 years were more likely to meet the 12-month WL goal (odds ratio = 3.03, 95% CI, 1.58-5.81) versus <65 years. CONCLUSIONS: The results of this study provide important information regarding participant attendance and WL for providers offering DPP-based lifestyle intervention programs across the country who are seeking Medicare reimbursement. Understanding Medicare reimbursement-defined success will allow these providers to focus on and develop strategies to enhance program effectiveness and sustainability.

The Impact of Physical Activity on the Prevention of Type 2 Diabetes: Evidence and Lessons Learned From the Diabetes Prevention Program, a Long-Standing Clinical Trial Incorporating Subjective and Objective Activity Measures.

OBJECTIVE: Across the Diabetes Prevention Program (DPP) follow-up, cumulative diabetes incidence remained lower in the lifestyle compared with the placebo and metformin randomized groups and could not be explained by weight. Collection of self-reported physical activity (PA) (yearly) with cross-sectional objective PA (in follow-up) allowed for examination of PA and its long-term impact on diabetes prevention. RESEARCH DESIGN AND METHODS: Yearly self-reported PA and diabetes assessment and oral glucose tolerance test results (fasting glucose semiannually) were collected for 3,232 participants with one accelerometry assessment 11-13 years after randomization (n = 1,793). Mixed models determined PA differences across treatment groups. The association between PA and diabetes incidence was examined using Cox proportional hazards models. RESULTS: There was a 6% decrease (Cox proportional hazard ratio 0.94 [95% CI 0.92, 0.96]; P < 0.001) in diabetes incidence per 6 MET-h/week increase in time-dependent PA for the entire cohort over an average of 12 years (controlled for age, sex, baseline PA, and weight). The effect of PA was greater (12% decrease) among participants less active at baseline (<7.5 MET-h/week) (n = 1,338) (0.88 [0.83, 0.93]; P < 0.0001), with stronger findings for lifestyle participants. Lifestyle had higher cumulative PA compared with metformin or placebo (P < 0.0001) and higher accelerometry total minutes per day measured during follow-up (P = 0.001 and 0.047). All associations remained significant with the addition of weight in the models. CONCLUSIONS: PA was inversely related to incident diabetes in the entire cohort across the study, with cross-sectional accelerometry results supporting these findings. This highlights the importance of PA within lifestyle intervention efforts designed to prevent diabetes and urges health care providers to consider both PA and weight when counseling high-risk patients.

Association of Intensive Lifestyle and Metformin Interventions With Frailty in the Diabetes Prevention Program Outcomes Study.

BACKGROUND: Frailty is a geriatric syndrome of decreased physiologic reserve and resistance to stressors that results in increased vulnerability to adverse health outcomes with aging. Diabetes and hyperglycemia are established risk factors for frailty. We sought to examine whether the odds of frailty among individuals at high risk of diabetes randomized to treatment with intensive lifestyle (ILS), metformin, or placebo differed after long-term follow-up. METHOD: The sample comprised participants in the Diabetes Prevention Program (DPP) clinical trial, who continued follow-up in the DPP Outcomes Study (DPPOS) and completed frailty assessments in DPPOS Years 8 (n = 2385) and 10 (n = 2289), approximately 12 and 14 years after DPP randomization. Frailty was classified using Fried Frailty Phenotype criteria. GEE models adjusting for visit year with repeated measures pooled for Years 8 and 10 were used to estimate pairwise odds ratios (ORs) between ILS, metformin, and placebo for the outcomes of frail and prefrail versus nonfrail. RESULTS: Frailty prevalence by treatment group was ILS = 3.0%, metformin = 5.4%, placebo = 5.7% at Year 8, and ILS = 3.6%, metformin = 5.3%, placebo = 5.4% at Year 10. Odds ratios (95% CI) estimated with GEE models were ILS versus placebo, 0.62 (0.42-0.93), p = .022; metformin versus placebo, 0.99 (0.69-1.42), p = .976; and ILS versus metformin, 0.63 (0.42-0.94), p = .022. Odds of being frail versus nonfrail were 37% lower for ILS compared to metformin and placebo. CONCLUSIONS: Early ILS intervention, at an average age of about 50 years, in persons at high risk of diabetes may reduce frailty prevalence in later life. Metformin may be ineffective in reducing frailty prevalence. CLINICAL TRIALS REGISTRATION NUMBERS: NCT00004992 (DPP) and NCT00038727 (DPPOS).

Leisure Sedentary Behavior Levels and Meeting Program Goals in a Community Lifestyle Intervention for Diabetes Prevention.

BACKGROUND: The importance of leisure sedentary behavior (LSB) change in diabetes prevention efforts is not well known. This study examines the relationships between changes in self-reported LSB and the primary intervention goals (weight and moderate-intensity to vigorous-intensity physical activity [MVPA]) during a community-based translation of the Diabetes Prevention Program (the Group Lifestyle Balance Program). METHODS: A total of 322 adults at risk for type 2 diabetes were recruited from 3 community centers, a worksite, and military site. Community and worksite participants were randomized to immediate or delayed-delivery (control) intervention. All military site participants (n = 99) received immediate intervention. Logistic and linear generalized estimating equations were used to determine associations between LSB changes and weight-related outcomes and MVPA. RESULTS: Results were obtained for 259 (80.4%) participants. The LSB decreased after 6 and 12 months (mean [95% confidence interval]: -25.7 [-38.6 to -12.8] and -16.1 [-28.2 to -3.9] min/d; both P < .05). Each 20-minute reduction in LSB was associated with a 5% increase in odds of meeting the weight-loss goal (6 mo: odds ratio = 1.05 [1.002 to 1.102]; P = .042; adjusted model including MVPA), but LSB was not related to changes in reported MVPA minutes or MVPA goal achievement. CONCLUSION: Within the context of existing lifestyle intervention programs, reducing sedentary behavior has the potential to contribute to weight loss separately from reported MVPA improvement.

Participant food and activity costs in a translational Diabetes Prevention Program.

The Diabetes Prevention Program (DPP) and its translational adaptations have been shown to be effective. However, individual-level economic impacts, such as the out-of-pocket costs borne by participants due to involvement in these programs have not been consistently and thoroughly evaluated. As cost is an important consideration that will impact the willingness of individuals to participate in such programs, this study examined direct monetary costs to participants in the Group Lifestyle Balance (GLB) DPP. Older adults (n = 134, mean age 62.8 years) with body mass index (BMI) ≥24 kg/m2 and prediabetes and/or metabolic syndrome participated in this GLB intervention, with two-thirds randomized to begin the intervention immediately and one-third functioning as a control for 6 months before receiving the entire intervention. Food and activity time and costs borne by participants were measured by self-report at baseline and after 6 months. Significant improvements in clinical metabolic measures, weight, and physical activity levels were achieved after 6 months in the intervention group compared both with baseline and the controls. Food costs did not increase among intervention participants. Costs related to physical activity did not change consistently over the course of the intervention. This DPP-GLB lifestyle intervention was effective in reducing risk factors for Type 2 diabetes mellitus among a diverse group of older participants without significantly increasing their out-of-pocket costs for food or physical activity over the course of the intervention. These results should help reduce concerns of individuals who are hesitant to participate in similar programs due to costs. The clinical trial registration number of this study is NCT01050205.

Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study.

AIMS/HYPOTHESIS: Type 1 diabetes increases CHD risk. We examined the use of the American Heart Association's cardiovascular health metrics (blood pressure, total cholesterol, glucose/HbA1c, BMI, physical activity, diet, smoking) to predict incidence of CHD among individuals with type 1 diabetes, with the hypothesis that a better American Heart Association health metric profile would be associated with lower incident CHD. METHODS: Prevalence of the seven cardiovascular health metrics was determined using first and second visits from adult participants (mean age 28.6 years) in the Epidemiology of Diabetes Complications prospective cohort study of childhood-onset type 1 diabetes. An ideal metric score (0-7) was defined as the sum of all metrics within the ideal range, and a total metric score (0-14) was calculated based on poor, intermediate and ideal categories for each metric. Incident CHD development (medical record-confirmed CHD death, myocardial infarction, revascularisation, ischaemic electrocardiogram changes or Epidemiology of Diabetes Complications physician-determined angina) over 25 years of follow-up was examined by metric scores. RESULTS: Among 435 participants, BMI, blood pressure, total cholesterol and smoking demonstrated the highest prevalence within the ideal range, while diet and HbA1c demonstrated the lowest. During 25 years of follow-up, 177 participants developed CHD. In Cox models, each additional metric within the ideal range was associated with a 19% lower risk (p = 0.01), and each unit increase in total metric score was associated with a 17% lower risk (p < 0.01) of CHD, adjusting for diabetes duration, estimated glomerular filtration rate, albumin excretion rate, triacylglycerols, depression and white blood cell count. CONCLUSIONS/INTERPRETATION: Among individuals with type 1 diabetes, higher cardiovascular health metric scores were associated with lower risk of incident CHD. The American Heart Association-defined cardiovascular health metrics provide straightforward goals for health promotion that may reduce CHD risk in the type 1 diabetes population. Graphical abstract.

Efficacy of an Online Physical Activity Intervention Coordinated With Routine Clinical Care: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: Most adults are not achieving recommended levels of physical activity (150 minutes/week, moderate-to-vigorous intensity). Inadequate activity levels are associated with numerous poor health outcomes, and clinical recommendations endorse physical activity in the front-line treatment of obesity, diabetes, dyslipidemia, and hypertension. A framework for physical activity prescription and referral has been developed, but has not been widely implemented. This may be due, in part, to the lack of feasible and effective physical activity intervention programs designed to coordinate with clinical care delivery. OBJECTIVE: This manuscript describes the protocol for a pilot randomized controlled trial (RCT) that tests the efficacy of a 13-week online intervention for increasing physical activity in adult primary care patients (aged 21-70 years) reporting inadequate activity levels. The feasibility of implementing specific components of a physical activity clinical referral program, including screening for low activity levels and reporting patient program success to referring physicians, will also be examined. Analyses will include participant perspectives on maintaining physical activity. METHODS: This pilot study includes a 3-month wait-listed control RCT (1:1 ratio within age strata 21-54 and 55-70 years). After the RCT primary end point at 3 months, wait-listed participants are offered the full intervention and all participants are followed to 6 months after starting the intervention program. Primary RCT outcomes include differences across randomized groups in average step count, moderate-to-vigorous physical activity, and sedentary behavior (minutes/day) derived from accelerometers. Maintenance of physical activity changes will be examined for all participants at 6 months after the intervention start. RESULTS: Recruitment took place between October 2018 and May 2019 (79 participants were randomized). Data collection was completed in February 2020. Primary data analyses are ongoing. CONCLUSIONS: The results of this study will inform the development of a clinical referral program for physical activity improvement that combines an online intervention with clinical screening for low activity levels, support for postintervention behavior maintenance, and feedback to the referring physician. TRIAL REGISTRATION: ClinicalTrials.gov NCT03695016; https://clinicaltrials.gov/ct2/show/NCT03695016. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18891.