The Cardiac Metabolic Index (CMI) is a comprehensive metabolic indicator, but studies on its relationship with Diabetic Kidney Disease (DKD) are limited. We aim to explore the association between CMI and DKD.

We obtained participant-related data from the National Health and Nutrition Examination Survey (NHANES), including complete information on DKD, CMI, and other covariates. We employed weighted multivariable logistic regression models, restricted cubic spline (RCS) regression analysis, subgroup analyses, and interaction tests to explore the relationship between CMI and DKD. Additionally, we utilized receiver operating characteristic (ROC) curves to compare the performance of CMI in identifying DKD relative to a body shape index (ABSI), body roundness index (BRI), visceral adiposity index (VAI), and lipid accumulation product (LAP) indices.

According to the logistic regression analysis, a positive correlation between CMI and DKD was observed among the 2371 participants included in the study (OR: 1.40, 95% CI: 1.19-1.66). RCS analysis indicated that this relationship is nonlinear. When CMI was converted from a continuous variable to quartiles, the prevalence of DKD in the highest quartile group showed a significant 84% increase compared to the lowest quartile group (OR: 1.84, 95% CI: 1.24-2.72). The area under the ROC curve of CMI for identifying DKD was 0.67, outperforming other indices. The results of subgroup analyses and interaction tests were stable.

Elevated CMI is associated with an increased risk of DKD and can serve as a low-cost screening tool, allowing physicians to potentially identify high-risk diabetic patients early and implement timely interventions to slow the progression of DKD.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Previous studies have adequately demonstrated that physical activity or healthy sleep duration can reduce the risk of hypertension. However, the combined effects of physical activity and healthy sleep on hypertension have not been well explored in studies using nationally representative samples.

The data were obtained from the National Health and Nutrition Examination Survey (2007-2018). Sleep duration and physical activity were obtained from self-reported questionnaires. Survey logistic regression and restricted cubic spline curves were used to evaluate the joint effects of physical activity and healthy sleep duration on hypertension.

A total of 18,007 participants were enrolled in the main study. Physical activity was categorized into insufficient physical activity (600 < Met-min/week) and sufficient physical activity (≥600 Met-min/week). Sleep duration of ≤6 or ≥9 hours was defined as unhealthy sleep duration, and 7-8 hours was defined as healthy sleep duration. Compared to the individuals with unhealthy sleep duration and insufficient physical activity, only the participants with healthy sleep duration and sufficient physical activity (adjusted odds ratio: 0.76, 95% CI 0.66-0.88) were negatively associated with hypertension, while the participants with healthy sleep duration but insufficient physical activity or sufficient physical activity but unhealthy sleep duration were not associated with hypertension. Physical activity was nonlinearly associated with hypertension in the healthy sleep duration group, whereas in the unhealthy sleep duration group, physical activity was not associated with hypertension.

Our findings indicate that sufficient physical activity and healthy sleep duration were negatively associated with hypertension. This underscores the importance of integrating both sufficient physical activity and healthy sleep duration in strategies aimed at reducing hypertension risk.

Diabetic kidney disease (DKD) is a global and severe complication that imposes a significant burden on individual health, families, and society. Currently, the main treatment approaches for DKD include medication, blood glucose control, protein-restricted diet, and blood pressure management, all of which have certain limitations. Exercise, as a non-pharmacological intervention, has attracted increasing attention. This review introduces the mechanisms and clinical evidence of exercise on DKD, and proposes potential exercise prescriptions. Exercise can improve blood glucose stability related to DKD and the renin-angiotensin-aldosterone system (RAAS), reduce renal oxidative stress and inflammation, enhance the crosstalk between muscle and kidneys, and improve endothelial cell function. These mechanisms contribute to the comprehensive improvement of DKD. Compared to traditional treatment methods, exercise has several advantages, including safety, effectiveness, and no significant side effects. It can be used as an adjunct therapy to medication, blood glucose control, protein-restricted diet, and blood pressure management. Despite the evident benefits of exercise in DKD management, there is still a lack of large-scale, long-term randomized controlled trials to provide more evidence and develop exercise guidelines for DKD. Healthcare professionals should actively encourage exercise in DKD patients and develop personalized exercise plans based on individual circumstances.

The expanding field of cardiorespiratory fitness (CRF) in individuals with and without atrial fibrillation (AF) presents a complex landscape, demanding careful interpretation of the existing research. AF, characterized by significant mortality and morbidity, prompts the exploration of strategies to mitigate its impact. Increasing physical activity (PA) levels emerges as a promising avenue to address AF risk factors, such as obesity, hypertension, and diabetes mellitus, through mechanisms of reduced vasoconstriction, endothelin-1 modulation, and improved insulin sensitivity. However, caution is warranted, as recent investigations suggest a heightened incidence of AF, particularly in athletes engaged in high-intensity exercise, due to the formation of ectopic foci and changes in cardiac anatomy. Accordingly, patients should adhere to guideline-recommended amounts of low-to-moderate PA to balance benefits and minimize adverse effects. When looking closer at the current evidence, gender-specific differences have been observed and challenged conventional understanding, with women demonstrating decreased AF risk even at extreme exercise levels. This phenomenon may be rooted in divergent hemodynamic and structural responses to exercise between men and women. Existing research is predominantly observational and limited to racially homogenous populations, which underscores the need for comprehensive studies encompassing diverse, non-White ethnic groups in athlete and non-athlete populations. These individuals exhibit a disproportionately high burden of AF risk factors that could be addressed through improved CRF. Despite the limitations, randomized control trials offer promising evidence for the efficacy of CRF interventions in patients with preexisting AF, showcasing improvements in clinically significant AF outcomes and patient quality of life. The potential of CRF as a countermeasure to the consequences of AF remains an area of great promise, urging future research to delve deeper to explore its role within specific racial and gender contexts. This comprehensive understanding will contribute to the development of tailored strategies for optimizing cardiovascular health and AF prevention in all those who are affected.

Physical activity (PA) has been shown to reduce diabetes mortality, but largely based on imprecise self-reported data, which may hinder the development of related recommendations. Here, we perform a prospective cohort study of 19,624 individuals with type 2 diabetes (T2D) from the UK Biobank with a median follow-up of 6.9 years. Duration and intensity of PA are measured by wrist-worn accelerometers over a 7-day period. We observe L-shaped associations of longer duration of PA, regardless of PA intensity, with risks of all-cause and cancer mortality, as well as a negatively linear association with cardiovascular disease mortality. 12.7%, 15.8%, and 22.3% of deaths are attributable to the lowest level of light-intensity, moderate-intensity PA, and vigorous-intensity PA, respectively. Collectively, our findings provide insights for clinical guidelines that should highlight the potential value of adherence to greater intensity and duration of PA for patients with T2D.

Diabetes is a heterogeneous metabolic disease characterized by elevated blood glucose levels resulting from the destruction or malfunction of pancreatic β cells, insulin resistance in peripheral tissues, or both, and results in a non-sufficient production of insulin. To adjust blood glucose levels, diabetic patients need exogenous insulin administration together with medical nutrition therapy and physical activity. With the aim of improving insulin availability in diabetic patients as well as ameliorating diabetes comorbidities, different strategies have been investigated. The first approaches included enhancing endogenous β cell activity or transplanting new islets. The protocol for this kind of intervention has recently been optimized, leading to standardized procedures. It is indicated for diabetic patients with severe hypoglycemia, complicated by impaired hypoglycemia awareness or exacerbated glycemic lability. Transplantation has been associated with improvement in all comorbidities associated with diabetes, quality of life, and survival. However, different trials are ongoing to further improve the beneficial effects of transplantation. Furthermore, to overcome some limitations associated with the availability of islets/pancreas, alternative therapeutic strategies are under evaluation, such as the use of mesenchymal stem cells (MSCs) or induced pluripotent stem cells for transplantation. The cotransplantation of MSCs with islets has been successful, thus providing protection against proinflammatory cytokines and hypoxia through different mechanisms, including exosome release. The use of induced pluripotent stem cells is recent and requires further investigation. The advantages of MSC implantation have also included the improvement of diabetes-related comorbidities, such as wound healing. Despite the number of advantages of the direct injection of MSCs, new strategies involving biomaterials and scaffolds have been developed to improve the efficacy of mesenchymal cell delivery with promising results. In conclusion, this paper offered an overview of new alternative strategies for diabetes management while highlighting some limitations that will need to be overcome by future approaches.

Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D.

A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist.

None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level.

The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.

Lack of physical activity (PA), poor dietary habits, or other unhealthy lifestyle behaviors are potential modifiable risk factors for hypertension. It has been sufficiently demonstrated in previous studies that physical activity or healthy dietary patterns can reduce the risk of hypertension. However, no research focused on the joint effects of PA and healthy dietary patterns on hypertension in a representative sample of adults.

We used data collected from the 2007-2018 National Health and Nutrition Examination Survey. Healthy dietary patterns were assessed with the Healthy Eating Index 2015 (HEI-2015), and PA was measured using the metabolic equivalent minutes per week reported in questionnaires. We created four lifestyle categories based on the HEI-2015 and PA: (1) unhealthy diet and physically inactive (less than recommended PA), (2) healthy diet but physically inactive, (3) unhealthy diet but physically active (recommended PA), (4) healthy diet and physically active. Logistic regression was used to evaluate the association between joint PA and HEI-2015 and hypertension.

A total of 24,453 participants were enrolled in the study. Compared with unhealthy diet and physically inactive individuals, only healthy diet and physically active participants (adjusted odds ratio [AOR]: 0.77, 95% CI 0.65-0.9) were negatively associated with hypertension, while healthy diet but physically inactive participants (AOR: 0.89, 95% CI 0.76-1.03) and unhealthy diet but physically active participants (AOR: 0.9, 95% CI 0.76-1.06) were not associated with hypertension.

In a representative sample of US adults, our findings suggest that individuals with recommended PA and healthy dietary patterns have a lower risk of hypertension than those with an unhealthy diet or less than recommended PA. Healthy eating habits and regular PA are potential preventive precautions against hypertension.

Although the association between self-reported and capacity-based mobility outcomes is prominently researched, the pathways through which self-reported measures affect capacity-based measures remains poorly understood. Therefore, our study examines the association between self-reported and capacity-based mobility measures and explores which mobility determinants mediate the association in Nigerian community-dwelling older adults.

This cross-sectional study included 169 older adults [mean age (SD) = 67.7 (7.0)]. Capacity-based mobility outcomes included the Short Physical Performance Battery (SPPB), the 6-Minute Walk Test (6MWT), and the 10-Meter Walk Test (10mWT), whereas the self-reported mobility outcomes included the Lower Extremity Functional scale (LEFS), the Life Space Questionnaire (LSQ), and the Mänty Preclinical Mobility scale (inability to walk 2 km, 0.5 km, or climb a flight of stairs). Spearman's correlations were conducted to examine the relationship between self-reported and capacity-based mobility measures, whereas structural equation modeling was used to determine the mediators.

The correlation between SPPB and LEFS (rho = 0.284) and 0.5 km (rho = -0.251) were fair, whereas the correlation between SPPB and inability to walk 2 km (rho = -0.244) and inability to climb a flight of stairs (rho = -0.190) were poor. Similarly, correlations between 6MWT and the LEFS (rho = 0.286), inability to walk 2 km (rho = -0.269), and 0.5 km (rho = -0.303) were fair. The 6WMT was poorly correlated with inability to climb one flight of stairs (rho = -0.233). The LSQ was not correlated with SPPB or 10mWT. Age was the only significant mediator, whereas the number of chronic conditions and cognitive status were not.

The correlation between self-reported and capacity-based mobility outcomes in older adults in Nigeria is lower than those in developed countries. Our analysis provides a foundation to explore mobility determinants that could be predictive mediators for mobility outcomes, making meaningful contributions to explaining mobility complexities.

Despite the clear benefits of increased physical activity (PA) on glycemic control, little is known about the importance of the timing of exercise among people with diabetes. Our objective was to compare the time of day of PA with concurrent HbA1c levels and body mass index (BMI) among Hispanic/Latino adults with or at risk of type 2 diabetes (T2D).

Monitored activity data obtained from Hispanic/Latino adults were summarized as number of steps per day, moderate-to vigorous-intensity physical activity (MVPA), and energy expenditure (kcals/day). We next examined the association between PA measures and participants' HbA1c. K-means clustering analysis was applied to identify daily PA patterns by time of day and intensity.

Three dominant clusters were identified: low-intensity PA, and early and late PA by time of day. The step counts were correlated with HbA1c in the late-active group (P = .01). Furthermore, independently in younger adults (age ≤ 50 years) and in overweight adults 25 ≤ BMI < 30 kg/m2), there was an association between HbA1c and step counts (P < .01 and P < .005, respectively) as well as HbA1c and MVPA (P < .05 and P < .035, respectively).

For Hispanic/Latino adults with or at risk of T2D, there appears to be clustering of PA by intensity and time of day which, in turn, may influence achieved HbA1c and BMI. Our findings demonstrate that the amount of activity is more efficacious on HbA1c in participants who are more active later during the day and separately in overweight and younger individuals. This finding may help design more personalized PA recommendations in this population.

NCT03830840 and NCT03736468.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Understanding health behaviors of people with diabetes can inform strategies to reduce diabetes-related burdens.

We used serial cross-sectional National Health and Nutrition Examination Surveys over 2007-2018 to characterize self-reported health behaviors among non-pregnant adults, with and without self-reported diabetes. We estimated weighted proportions meeting recommended health behaviors overall and by sociodemographic and glycemic levels.

During 2007-2010, proportions of adults with diabetes meeting recommendations were: 61.9 % for added sugar consumption (<10 % of total calories), 17.2 % for physical activity, 68.2 % for weight management, 14.4 % avoided alcohol, 57.5 % avoided tobacco, 34.1 % got adequate sleep, and 97.5 % saw a healthcare provider (compared with 19.2 %, 33.6 %, 68.8 %, 8.5 %, 44.2 %, 33.0 %, and 82.6 % respectively, among those without diabetes). During 2015-2018, adjusted analyses showed more adults with diabetes met sleep (+16.7 percentage-points[pp]; 95 % CI: 10.6,22.8) and physical activity goals (+8.3 pp; 95 % CI: 3.8,12.8), and fewer met added sugar recommendations (-8.8 pp; 95 % CI -14.7, -2.9). Meeting added sugar, physical activity, and weight management varied by age, education, and glycemic level, but not race and ethnicity.

During 2007-2018, there was some improvement in health behaviors. Improving self-management may require targeted interventions for different segments, like age groups or glycemic levels, among those with diabetes.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Background: Little is known about the genetic characteristics associated with exercise in women undergoing breast cancer surgery. Purpose: In a sample of women who were evaluated prior to breast cancer surgery (n = 310), we evaluated for differences in demographic and clinical characteristics between patients who did and did not exercise on a regular basis and evaluated for associations between polymorphisms in genes for pro- and anti-inflammatory cytokines, their receptors, and their transcriptional regulators. Methods: Patients completed an investigator-developed exercise questionnaire. Based on the recommended level of exercise (≥150 minutes/week), survivors were classified into no exercise (NoEx), less exercise (LessEx), or recommended exercise (RecEx) groups. Candidate gene analyses were done to identify relationships between polymorphisms and exercise group membership (i.e., NoEx vs. RecEx). Only 23.5% of the total sample met the recommendations for regular exercise. Results: Compared to the RecEx group (n = 78), patients in the NoEx group (n = 120) had less education; were less likely to report being White or Asia/Pacific Islander; more likely to report a lower household income; had a higher body mass index (BMI), had a poorer functional status; had a higher comorbidity burden; were more likely to self-report high blood pressure; and were more likely to have received neoadjuvant chemotherapy. Polymorphisms in IFNGR1 and NFKB1 were associated with membership in the NoEx group. Conclusions: While they warrant replication, our findings suggest that variations in cytokine-related genes may play a role in exercise behavior, and that clinicians need to assess for barriers to regular exercise and educate patients on its benefits.

Latinos, the fastest growing ethnic minority group in the United States, are at a high risk for cardiovascular disease (CVD). However, little is known about effective strategies to reduce CVD risk in this population.

The aim of this study was to systematically review and synthesize evidence from randomized controlled trials that examined the effectiveness of behavioral interventions to reduce CVD risk in Latinos living in the United States.

Four electronic databases were searched for relevant peer-reviewed English- and Spanish-language articles published between January 1, 2000, and December 31, 2019. Four reviewers independently completed article screening, data abstraction, and quality appraisal. At least 2 reviewers completed data abstraction and quality appraisal for each article, and a third reviewer was assigned to settle disagreements. Data on study characteristics and outcomes were abstracted.

We retrieved 1939 articles. After applying inclusion/exclusion criteria, 17 articles were included. Most interventions were led by community health workers (n = 10); 2 family-based interventions were identified. None of the included studies was nurse led. Behavioral factors were assessed across all included studies, whereas only 4 studies reported on psychosocial outcomes. Improvements were observed in dietary habits and psychosocial outcomes. Findings for physical activity and biological outcomes were mixed. We identified no differences in outcomes based on intervention modalities used or the role of those who led the interventions.

Existing evidence is mixed. Future research should assess the effectiveness of understudied treatment modalities (including nurse-led, mobile health, and family-based interventions) in reducing CVD risk in Latinos.

Lack of physical activity (PA) is common among individuals with type 2 diabetes (T2D). We apply a practice theory approach to investigate PA engagement in the context of T2D. Data were collected through semi-structured individual interviews (n = 23) and focus groups (n = 3x6) and analyzed by deductive-inductive reflexive thematic analysis using a practice theory framework. Forty-one purposefully selected individuals with T2D (29 men) between the ages of 54 and 77 years were included. The analysis resulted in three main themes informed by five subthemes, reflecting the key elements of practice theory (i.e., meanings, materialities, and competencies). One overarching theme identified PA engagement as an unsustainable and insurmountable project in constant and unequal competition with the practice of physical inactivity. To increase PA among individuals with T2D, future PA interventions and strategies should aim to establish a stronger link between PA and everyday life practices.

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

To assess the role of physical activity and healthcare access in mediating the association of acculturation with cardiometabolic health in Asian American adults with diabetes.

Cross-sectional study.

National Health and Nutrition Examination Survey (NHANES) 2011-2018.

Non-pregnant Asian American adults with doctor diagnosed diabetes.

Participants were classified into low, moderate, and high acculturation status. Self-reported leisure-time, work, and transportation-based physical activity were summed for overall physical activity. Health insurance, frequency of healthcare receipt, and glycohemoglobin (HbA1c) check in the past year indicated healthcare access. Cardiometabolic health indicators included HbA1c, total and high density lipoprotein-cholesterol, and systolic and diastolic blood pressure.

Linear and logistic regression estimates, standardized using y-standardization, and assessed mediation of acculturation with cardiometabolic health.

Low acculturation was significantly related to greater leisure-time inactivity odds [OR (95% CI) = 2.25 (1.05, 4.82)], overall insufficient activity [OR (95% CI) = 2.30 (1.12, 4.74)], and uninsured status [OR (95% CI) = 5.62 (1.55, 20.41)]. Asian Americans with low acculturation had significantly higher log HbA1c than those with high acculturation (β ± SE = .078 ± .038); however, this association was not significant after adjusting for leisure-time activity. Leisure-time activity mediated 48.9% of acculturation and HbA1c association, and the indirect effect was statistically significant [estimate (95% CI) = .021 (.002, 0.047)].

Results suggest that promoting sufficient leisure-time activity could improve glycemic control in least acculturated Asian Americans with diabetes.

Aggressive management of blood glucose, blood pressure, and cholesterol through medication and lifestyle adherence is necessary to minimize the adverse health outcomes of type 2 diabetes. However, numerous psychosocial and environmental barriers to adherence prevent low-income, urban, and ethnic minority populations from achieving their management goals, resulting in diabetes complications. Health coaches working with clinical pharmacists represent a promising strategy for addressing common diabetes management barriers. Mobile health (mHealth) tools may further enhance their ability to support vulnerable minority populations in diabetes management.

The aim of this study is to evaluate the impact of an mHealth clinical pharmacist and health coach-delivered intervention on hemoglobin A1c (HbA1c, primary outcome), blood pressure, and low-density lipoprotein (secondary outcomes) in African-Americans and Latinos with poorly controlled type 2 diabetes.

A 2-year, randomized controlled crossover study will evaluate the effectiveness of an mHealth diabetes intervention delivered by a health coach and clinical pharmacist team compared with usual care. All patients will receive 1 year of team intervention, including lifestyle and medication support delivered in the home with videoconferencing and text messages. All patients will also receive 1 year of usual care without team intervention and no home visits. The order of the conditions received will be randomized. Our recruitment goal is 220 urban African-American or Latino adults with uncontrolled type 2 diabetes (HbA1c ≥8%) receiving care from a largely minority-serving, urban academic medical center. The intervention includes the following: health coaches supporting patients through home visits, phone calls, and text messaging and clinical pharmacists supporting patients through videoconferences facilitated by health coaches. Data collection includes physiologic (HbA1c, blood pressure, weight, and lipid profile) and survey measures (medication adherence, diabetes-related behaviors, and quality of life). Data collection during the second year of study will determine the maintenance of any physiological improvement among participants receiving the intervention during the first year.

Participant enrollment began in March 2017. We have recruited 221 patients. Intervention delivery and data collection will continue until November 2021. The results are expected to be published by May 2022.

This is among the first trials to incorporate health coaches, clinical pharmacists, and mHealth technologies to increase access to diabetes support among urban African-Americans and Latinos to achieve therapeutic goals.

DERR1-10.2196/17170.

The management of diabetes comprises diet, pharmacological therapy, lifestyle counseling, patient education, and physical exercising, to achieve change in health behavior and control of the disease. However, a large proportion of diabetes patients does not adhere to treatment recommendations, mainly in the lifestyle aspect, which remains sedentary. Considering that self-efficacy is an essential determinant of health behaviors such as exercise practicing, the objective of the study was to investigate the psychometric properties of the Brazilian Portuguese version of Bandura's Exercise Self-Efficacy Scale (BESES) to be used in diabetes patients.

The BESES was initially completed by thirty diabetes patients to confirm the feasibility of the answers be provided by themselves. The psychometric properties (i.e., internal consistency, test-retest reproducibility, convergent validity, and ceiling and floor effects) were tested in other two-hundred diabetes patients (≥18 years old).

The BESES achieved significant internal consistency (Cronbach's alpha coefficient = 0.92), substantial test-retest reproducibility (intraclass correlation coefficient = 0.83). The convergent validity was confirmed by negative correlations between BESES total scores and barriers to exercise total scores (ρ = -0.333; P = 0.018) and rate of perception exercise corrected by distance covered in the incremental shuttle walking test (ρ = -0.426; P = 0.002). Ceiling and floor effects were not found. In addition, physically active patients had BESES total scores higher compared to sedentary (56.8 ± 21.4 vs. 47.9 ± 20.0; P = 0.003).

The Brazilian Portuguese version of the BESES showed adequate psychometric properties and proved to be valid for assessing the exercise self-efficacy in diabetes patients in Brazil.

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

To identify if there is an association between socio-economic or demographic factors, lifestyle habits, or chronic conditions and meeting the current exercise recommendations for adult patients with Diabetes Mellitus 2 in the United States.

This secondary analysis of a cross sectional study used data from participants who reported having diabetes and answered questions regarding physical activity in the 2017 Behavioral Risk Factor Surveillance System survey (n=37,204; 42% women; 30%<60 years-of-age). Respondents were dichotomized according to physical activity adherence. Predictors tested included socioeconomic and demographic characteristics, lifestyle habits, and chronic conditions. Unadjusted and adjusted logistic regression models were used to calculate odds ratios (OR) and 95% confidence intervals (CI).

Our data showed that 46.5% of participants with diabetes adhered to the physical activity guidelines. Daily smokers were 25% less likely to adhere to the physical activity recommendations (95% CI 0.59-0.95), patients with obesity were 37% less likely (95% CI 0.53-0.74), and those with chronic kidney disease were 24% (95% CI 0.61-0.94) less likely to do so. The odds of adhering to exercise guidelines were reduced by 20% (95% CI 0.70-0.92), 42% (95% CI 0.49-0.68), and 47% (95% CI 0.32-0.57) in good, fair, and poor health respectively.

Patients with poor health, daily smoking, obesity, or kidney disease may benefit from targeted interventions to accomplish their physical activity recommendations.

Inadequate lifestyle practices among individuals with diabetes may influence the progression of diabetes and its complications. The aim of this study was to assess the lifestyle practices among individuals with diabetes in Sudan.

This was a descriptive, cross-sectional, health facility-based study conducted in 3 diabetes centers treating individuals with diabetes. The data were collected using a standardized pretested metabolic questionnaire about lifestyle and were analyzed by performing descriptive and inferential statistics through SPSS program version 23.

A total of 528 patients with diabetes answered the questionnaire. There were 52.1% of female participants and 72.9% of urban residents. 23.9% were obese, regular exercise was reported by 27.7%, and no exercise by 17%. There was a statistically significant association between lifestyle practices and gender (P < 0.001), age (P < 0.001), educational level (P = 0.002), marital status (P < 0.001), duration of diabetes (P < 0.001), hypertension (P < 0.001), high-density lipoprotein (P < 0.001), low-density lipoprotein (P < 0.001), and HbA1c level (P < 0.001). Logistic regression analysis showed male gender and education were significantly associated with lifestyle changes. Men were more likely to engage in favorable lifestyle practices than women (P < 0.001), while those with no formal education were less likely to engage in healthy lifestyle (P < 0.001).

Health authorities in Sudan will need to put more efforts into education for promoting self-awareness and good lifestyle practices in the population with diabetes.

Real-time continuous glucose monitoring (CGM) use may lead to behavioral modifications in food selection and physical activity, but there are limited data on the utility of CGM in facilitating lifestyle changes. This article describes an 18-item survey developed to explore whether patients currently using CGM believe the technology has caused them to change their behavior.

In the USA, minority populations face a disproportionate burden from type 2 diabetes (T2D), in whom physical activity (PA) is recommended. The aim of this study was to determine levels of PA among a community of free-living Hispanic/Latino adults with T2D using a research accelerometer, a consumer device and a pictogram self-assessment questionnaire.

This was a cross-sectional, observational study. Participants (57 women and 31 men, body mass index (kg/m²) 32.2±7.9 and 29.9±4.5, waist circumference 97.1±30.1 and 93.7±33.0 cm and hemoglobin A1c 8.0±2.0 and 8.1%±1.8%, respectively) wore an ActiGraph (AG) on the hip and a Fitbit (FB) on the wrist for 1 week to estimate daily steps and energy expenditure (EE). Participants reported type and intensity of PA using English-language or Spanish-language pictograms and a 10-point Likert scale (1='not active' to 10='very, very active').

Steps per day were not normally distributed; AG median steps/weekday (Monday-Friday) was 6990 (range 1091-25 884) compared with 9329 (288-31 669) using FB (p≤0.01). Both devices recorded significantly more steps on weekdays versus weekends (p≤0.05). EE was also higher during the week. AG and FB were highly correlated to each other (p<0.01). Men were more active than women and maintained their PA throughout the week, whereas women decreased theirs on weekends. Spanish-language pictograms were preferred and self-reported PA matched objective assessments by both devices. Participants perceived themselves to be active (7.1±2.0) due to work.

Both objectively measured and self-reported levels of PA in Hispanic/Latino adults with T2D challenge the assumption that lack of PA may be commonplace for this group. AG and FB are different in their measurement of PA but are significantly correlated. New strategies, including use of pictograms, for interventions need to be considered if further increases or changes in PA are to be used as T2D therapy.

NCT03736486.

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Leisure-time physical activity (LTPA) has been shown to prevent or delay the development of diabetes. However, little research exists examining how other domains of PA (e.g., occupation based [OPA] and transportation based [TPA]) are associated with diabetes prevalence across diverse racial/ethnic groups. We examined associations between OPA, TPA, and LTPA and diabetes prevalence and whether associations differed by race/ethnicity.

Participants in the 2011-2016 National Health and Nutrition Examination Survey (NHANES) self-reported domain-specific PA. Diabetes status was determined by self-reported doctor/health professional-diagnosis of diabetes or a glycosylated hemoglobin (HbA_1c) measurement of ≥6.5% (48 mmol/mol). Multivariable log binomial models examined differences in diabetes prevalence by PA level in each domain and total PA among Latinos (n = 3,931), non-Latino whites (n = 6,079), and non-Latino blacks (n = 3,659).

Whites reported the highest prevalence of achieving PA guidelines (64.9%), followed by Latinos (61.6%) and non-Latino blacks (60.9%; P < 0.0009). Participants achieving PA guidelines were 19-32% less likely to have diabetes depending on PA domain in adjusted models. Diabetes prevalence was consistently higher among non-Latino blacks (17.1%) and Latinos (14.1%) compared with non-Latino whites (10.7%; P < 0.0001), but interaction results showed the protective effect of PA was similar across PA domain and race/ethnicity-except within TPA, where the protective effect was 4% greater among non-Latino whites compared with Latinos (adjusted difference in risk differences 0.04, P = 0.01).

PA policies and programs, beyond LTPA, can be leveraged to reduce diabetes prevalence among all population groups. Future studies are needed to confirm potentially differential effects of transportation-based active living on diabetes prevalence across race/ethnicity.

The purpose of this study was to determine physical activity (PA) preferences associated with increases in moderate-to-vigorous physical activity (MVPA) and decrease in sedentary time in Mexican American (MA) women participating in a Promotora (community health worker)-led intervention on the U.S.-Mexico border.

Enlace ('to link' in Spanish) was a randomized clinical trial to increase PA in low-income, MA women living in South Texas on the U.S.-Mexico border. A total of 620 participants were recruited into the study. The primary outcome was increase in moderate to vigorous physical activity (MVPA) using the Actigraph GT3X 16 Mb accelerometer. A modified version of the Community Health Activities Model Program for Seniors Physical Activity (CHAMPS) instrument was used to predict MVPA. Adjusted and unadjusted logistic regression models predicted change in MVPA by change in CHAMPS activities. ANOVA analysis determined the variance explained in change in MVPA by change in time engaged in activity. Individual effect sizes were then calculated for significant activity type change on MVPA increase.

There were significant increases in all CHAMPS activities except aerobic machines and errand walking. An increase in leisure walking (O.R. = 2.76, p = .046), errand (O.R. = 3.53, p = .051), and brisk walking (O.R. = 4.74, p = .011), dance (O.R. = 8.22, p = .003), aerobics class (O.R. = 32.7, p = .001), and light housework (O.R. = 6.75, p = .000), were associated with a decrease in sedentary time. Significant effect sizes for MVPA were observed for jogging (1.2, p = .050), general exercise (1.6, p = .024), and other exercise not specified (2.6, p = .003). Significant effect sizes for sedentary time were detected for leisure time (.031, p = .036), errands (.017, p = .022), brisk walking (.022, p = .003), dance (.042, p = .005), and aerobics class (.013, p = .009).

Participants who engaged in walking and aerobic activities through this intervention significantly increased their engagement in MVPA and decreased their sedentary time. These findings are novel, since preferences have not been examined in relation to MVPA or sedentary time in MA women.

PA preferences need to be considered when aiming to promote activities that reduce sedentary time and increase PA participation among marginalized groups, such as MA women.

NCT02046343 .

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.