Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank

<a>Objective: </a><a></a><a></a><a></a><a></a><a>To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes.</a> <p>Research Design and Methods: This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of CVD or cancer. Lifestyle information was collected through a baseline questionnaire.</p> <p><a>Results: During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease.</a><a> In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality and hazard ratios (95% CIs) associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable-risk analysis, 27.1% (95% CI: 16.1, 38.0%) death was attributable to a poor lifestyle (scoring 0-5). </a><a>The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication)</a>.</p> <p>Conclusions: <a></a><a></a>A healthy lifestyle was associated with a lower risk of mortality due to all-cause, CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes. <b></b></p>

Univariable associations between a history of incarceration and HIV and HCV prevalence among people who inject drugs across 17 countries in Europe 2006 to 2020 – is the precautionary principle applicable?

Background People who inject drugs (PWID) are frequently incarcerated, which is associated with multiple negative health outcomes. Aim We aimed to estimate the associations between a history of incarceration and prevalence of HIV and HCV infection among PWID in Europe. Methods Aggregate data from PWID recruited in drug services (excluding prison services) or elsewhere in the community were reported by 17 of 30 countries (16 per virus) collaborating in a European drug monitoring system (2006–2020; n = 52,368 HIV+/−; n = 47,268 HCV+/−). Country-specific odds ratios (OR) and prevalence ratios (PR) were calculated from country totals of HIV and HCV antibody status and self-reported life-time incarceration history, and pooled using meta-analyses. Country-specific and overall population attributable risk (PAR) were estimated using pooled PR. Results Univariable HIV OR ranged between 0.73 and 6.37 (median: 2.1; pooled OR: 1.92; 95% CI: 1.52–2.42). Pooled PR was 1.66 (95% CI 1.38–1.98), giving a PAR of 25.8% (95% CI 16.7–34.0). Univariable anti-HCV OR ranged between 1.06 and 5.04 (median: 2.70; pooled OR: 2.51; 95% CI: 2.17–2.91). Pooled PR was 1.42 (95% CI: 1.28–1.58) and PAR 16.7% (95% CI: 11.8–21.7). Subgroup analyses showed differences in the OR for HCV by geographical region, with lower estimates in southern Europe. Conclusion In univariable analysis, a history of incarceration was associated with positive HIV and HCV serostatus among PWID in Europe. Applying the precautionary principle would suggest finding alternatives to incarceration of PWID and strengthening health and social services in prison and after release (‘throughcare’).

Associations of m.5178C>A variant with serum lipids levels: A systematic review and meta-analysis

Background: Emerging evidence shows that m.5178C&gt;A variant is associated with a lower risk of coronary artery disease (CAD). However, the specific mechanisms remain elusive. Since dyslipidemia is one of the most critical risk factors for CAD and accounts for at least 50% of the population-attributable risk, it is tempting to speculate that the reduced CAD risk caused by the m.5178C&gt;A variant may stem from an improved lipid profile. In order to verify this hypothesis, we conducted this study to clarify the associations of m.5178C&gt;A variant with lipid levels. &#160;Methods: By searching ten databases for studies published before June 30, 2021. Thirteen East Asian populations (7,587 individuals) were included for the analysis.&lt;/p&gt; &#160;Results: The present study showed that m.5178C&gt;A variant was associated with higher high-density lipoprotein cholesterol (HDL-C) [standard mean difference (SMD) = 0.12, 95% CI = 0.06—0.17, P&lt; 0.001] and total cholesterol (TC) (SMD = 0.08, 95% CI = 0.02—0.14, P= 0.01) levels. In subgroup analysis, the association of m.5178C&gt;A variant with higher HDL-C levels were observed in Japanese (SMD = 0.09, 95% CI = 0.01—0.17, P= 0.03) and Chinese populations (SMD = 0.13, 95% CI = 0.07—0.20, P&lt; 0.001). However, the association of m.5178C&gt;A variant with lower low-density lipoprotein cholesterol (LDL-C) levels were only observed in Japanese populations (SMD = -0.11, 95% CI = -0.22—-0.00, P= 0.04).&lt;/p&gt; &#160;Conclusions: The m.5178C&gt;A variant was associated with higher HDL-C and lower LDL-C levels in Japanese populations, which may contribute to decreased CAD risk and longevity of Japanese.

Diabetes Status Modifies the Association Between Different Measures of Obesity and Heart Failure Risk Among Older Adults: A Pooled Analysis of Community-Based NHLBI Cohorts

Background: Obesity and diabetes are associated with a higher risk of heart failure (HF). The inter-relationships between different measures of adiposity—overall obesity, central obesity, fat mass (FM)—and diabetes status for HF risk are not well-established. Methods: Participant-level data from ARIC(visit-5) and CHS(visit-1) cohorts were obtained from the NHLBI BioLINCC, harmonized, and pooled for the present analysis, excluding individuals with prevalent HF. FM was estimated in all participants using established anthropometric prediction equations additionally validated using the bioelectrical impedance-based FM in the ARIC subgroup. Incident HF events on follow-up were captured across both cohorts using similar adjudication methods. Multivariable-adjusted Fine-Gray models were created to evaluate the associations of body mass index (BMI), waist circumference (WC), and FM with risk of HF in the overall cohort as well as among those with vs. without diabetes at baseline. The population attributable risk of overall obesity (BMI≥30 kg/m 2 ), abdominal obesity (WC>88 and 102 cm in women and men, respectively), and high FM (above sex-specific median) for incident HF was evaluated among participants with and without diabetes. Results: The study included 10,387 participants (52.9% ARIC; 25.1% diabetes; median age: 74 years). The correlation between predicted and bioelectrical impedance-based FM was high (R 2 =0.90; n=5,038). Over a 5-year follow-up, 447 participants developed HF (4.3%). Higher levels of each adiposity measure were significantly associated with higher HF risk (HR [95% CI] per 1-SD higher BMI=1.19[1.09-1.31], WC=1.27[1.14-1.41]; FM=1.17[1.06-1.29]). A significant interaction was noted between diabetes status and measures of BMI (p-interaction=0.04) and WC (p-interaction=0.004) for the risk of HF. In stratified analysis, higher measures of each adiposity parameter were significantly associated with higher HF risk in individuals with diabetes (HR[95% CI] per 1-SD higher BMI=1.29[1.14-1.47], WC=1.48[1.29-1.70]; FM=1.25[1.09-1.43]) but not those without diabetes, including participants with prediabetes and euglycemia. The population attributable risk percentage of overall obesity, abdominal obesity, and high FM for incident HF was higher among participants with diabetes (12.8%, 29.9%, 13.7%, respectively) vs. those without diabetes (≤1% for each). Conclusions: Higher BMI, WC, and FM are strongly associated with greater risk of HF among older adults, particularly among those with prevalent diabetes.

Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank

<a>Objective: </a><a></a><a></a><a></a><a></a><a>To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes.</a> <p>Research Design and Methods: This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of CVD or cancer. Lifestyle information was collected through a baseline questionnaire.</p> <p><a>Results: During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease.</a><a> In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality and hazard ratios (95% CIs) associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable-risk analysis, 27.1% (95% CI: 16.1, 38.0%) death was attributable to a poor lifestyle (scoring 0-5). </a><a>The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication)</a>.</p> <p>Conclusions: <a></a><a></a>A healthy lifestyle was associated with a lower risk of mortality due to all-cause, CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes. <b></b></p>

Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank

<a>Objective: </a><a></a><a></a><a></a><a></a><a>To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes.</a> <p>Research Design and Methods: This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of CVD or cancer. Lifestyle information was collected through a baseline questionnaire.</p> <p><a>Results: During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease.</a><a> In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality and hazard ratios (95% CIs) associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable-risk analysis, 27.1% (95% CI: 16.1, 38.0%) death was attributable to a poor lifestyle (scoring 0-5). </a><a>The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication)</a>.</p> <p>Conclusions: <a></a><a></a>A healthy lifestyle was associated with a lower risk of mortality due to all-cause, CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes. <b></b></p>

Association of healthy lifestyle including a healthy sleep pattern with incident type 2 diabetes mellitus among individuals with hypertension

Background Evidence is limited regarding the association of healthy lifestyle including sleep pattern with the risk of complicated type 2 diabetes mellitus (T2DM) among patients with hypertension. We aimed to investigate the associations of an overall healthy lifestyle including a healthy sleep pattern with subsequent development of T2DM among participants with hypertension compared to normotension, and to estimate how much of that risk could be prevented. Methods This study examined six lifestyle factors with T2DM cases among hypertension (227,966) and normotension (203,005) and their interaction in the UK Biobank. Low-risk lifestyle factors were defined as standard body mass index (BMI), drinking alcohol in moderation, nonsmoking, engaging in moderate- to vigorous-intensity physical activity, eating a high-quality diet, and maintaining a healthy sleep pattern. Results There were 12,403 incident T2DM cases during an average of 8.63 years of follow-up. Compared to those with 0 low-risk lifestyle factors, HRs for those with 5–6 were 0.14 (95% CI 0.10 to 0.19) for hypertensive participants, 0.13 (95% CI 0.08 to 0.19) for normotensive participants, respectively (ptrend < 0.001). 76.93% of hypertensive participants were considerably less likely to develop T2DM if they adhered to five healthy lifestyle practices, increased to 81.14% if they followed 6-factors (with a healthy sleep pattern). Compared with hypertension adults, normotensive people gain more benefits if they stick to six healthy lifestyles [Population attributable risk (PAR%) 83.66%, 95% CI 79.45 to 87.00%, p for interaction = 0.0011]. Conclusions Adherence to a healthy lifestyle pattern including a healthy sleep pattern is associated with lower risk of T2DM in hypertensives, and this benefit is even further in normotensives.

The effect of body weight and alcohol consumption on hyperuricemia and their attributable population fractions: A National health survey in China

Introduction: The prevalence of hyperuricemia is increasing world widely; the understanding of population attributable faction of modifiable risk factors is important for disease prevention. Given the sparse evidence on how modifiable risk factors influence hyperuricemia in mainland China, we aim to explore the effect of excess weight and alcohol consumption and the population attributable fractions of hyperuricemia based on a national survey in mainland China. Methods: Using data from China National Health Survey which included 31746 Han Chinese aged 20-80 from ten provinces, we estimated the prevalence and modifiable risk factors (overweight/obesity and alcohol consumption)of hyperuricemia. Hyperuricemia was defined as serum uric acid > 417 μmol/L in men and > 340 μmol/L in women. Restricted cubic spline models were used to demonstrate the linear and non-linear association between exposures and hyperuricemia. The adjusted population attributable risk (PAR) was calculated to understand the relative importance of each modifiable risk factor. Results: The prevalence of hyperuricemia was 25.1% in men and 15.9% in women. The population fraction of hyperuricemia cases that could be avoided by weight loss was 20.6% (19.2% to 22.0%) in men and 18.1% (17.1% to 19.0%) in women. The PAR of alcohol consumption was 12.8% (8.5% to 17.1%) in men. Participants from southwest China had the highest hyperuricemia prevalence (47.9% in men and 29.9% in women), but with lower PAR of modifiable risk factors, especially in men (16.7%). Subjects in North China had lower hyperuricemia prevalence but higher PAR of modifiable risk factors. 44.8% male hyperuricemia cases in Inner Mongolia (26.9% of hyperuricemia prevalence) and 37.7% cases in men from Heilongjiang (34.4% of hyperuricemia prevalence) were attributable to overweight/obesity and alcohol consumption. Conclusion: There are significant sex and geographic difference on population attributable risk of hyperuricemia due to modifiable risk factors. More tailored prevention strategies are needed to prevent hyperuricemia through weight loss and the reduction of alcohol consumption.

Black-White Differences in Ischemic Stroke Risk Factor Burden in Young Adults

Background and Purpose: Although the US Black population has a higher incidence of stroke compared with the US White population, few studies have addressed Black-White differences in the contribution of vascular risk factors to the population burden of ischemic stroke in young adults. Methods: A population-based case-control study of early-onset ischemic stroke, ages 15 to 49 years, was conducted in the Baltimore-Washington DC region between 1992 and 2007. Risk factor data was obtained by in-person interview in both cases and controls. The prevalence, odds ratio, and population-attributable risk percent (PAR%) of smoking, diabetes, and hypertension was determined among Black patients and White patients, stratified by sex. Results: The study included 1044 cases and 1099 controls. Of the cases, 47% were Black patients, 54% were men, and the mean (±SD) age was 41.0 (±6.8) years. For smoking, the population-attributable risk percent were White men 19.7%, White women 32.5%, Black men 10.1%, and Black women 23.8%. For diabetes, the population-attributable risk percent were White men 10.5%, White women 7.4%, Black men 17.2%, and Black women 13.4%. For hypertension, the population-attributable risk percent were White men 17.2%, White women 19.3%, Black men 45.8%, and Black women 26.4%. Conclusions: Modifiable vascular risk factors account for a large proportion of ischemic stroke in young adults. Cigarette smoking was the strongest contributor to stroke among White patients while hypertension was the strongest contributor to stroke among Black patients. These results support early primary prevention efforts focused on smoking cessation and hypertension detection and treatment.

ADHD Comorbidity Structure and Impairment: Results of the WHO World Mental Health Surveys International College Student Project (WMH-ICS)

Objective To examine the prevalence of ADHD and the association of comorbid disorders, and multivariate disorder classes with role impairment in college students. Method About 15,991 freshmen (24 colleges, 9 countries, WMH-ICS) (response rate = 45.6%) completed online WMH-CIDI-SC surveys for 6-month ADHD and six 12-month DSM-IV disorders. We examined multivariate disorder classes using latent class analysis (LCA) and simulated a population attributable risk proportions (PARPs) of ADHD-related impairment. Results About 15.9% had ADHD, of which 58.4% had comorbidities. LCA classified ADHD respondents to pure (42.9%), internalizing (36.0%), bipolar comorbidities (11.3%), and externalizing disorder classes (9.8%). ADHD, comorbidities, and multivariate disorder classes independently predicted severe impairment. PARPs: eliminating ADHD hypothetically reduced severe impairment by 19.2%, 10.1% adjusted for comorbidities, 9.5% for multivariate disorder classes. Conclusions ADHD and comorbid disorders are common and impairing in college students. Personalized transdiagnostic interventions guided by multivariate disorder classes should be explored.