RESEARCH DESIGN AND METHODS: We carried out analysis based on the data from the 2021 Global burden of disease study. Joinpoint regression was used to identify significant changes in trends over time, and ARIMA models were applied to forecast incidence rates.

RESULTS: Between 1990 and 2021, the average annual percentage change (AAPC) of age-standardized prevalence rates and incidence rates increased by 2.15 and 1.72 respectively. The age-standardized mortality rate rose more slowly, at 1.05 AAPC, with females experiencing a slightly higher AAPC than males. ARIMA forecasts suggest that by 2031, T2DM incidence rates will continue to rise significantly across all South Asian countries.

METHODS: Adhering the PRISMA 2020 guidelines and registered in the PROSPERO database, we conducted a systematic review and meta-analysis using the PubMed, Embase, and Web of Science databases up to October 2024. Nested Knowledge was used for screening and data extraction. Studies reporting quantitative data on the prevalence or mortality of dengue and leptospirosis co-infections were included. Data extraction and quality assessment were performed independently by two reviewers using the Modified Newcastle-Ottawa Scale. Statistical analyses, including prevalence and mortality estimation, sensitivity analysis were conducted using R, with heterogeneity evaluated by the I² statistic.

RESULTS: Out of 3,982 records, 14 studies met the eligibility criteria, yielding a pooled prevalence of dengue and leptospirosis co-infection at 2.33% (95% CI: 1.41-3.46%) across 16,638 participants, with significant heterogeneity (I² = 90%). The prediction interval for co-infection ranged from 0.05 to 7.27%. The pooled mortality rate among co-infected patients was 9.96% (95% CI: 0-53.49%), with moderate heterogeneity (I² = 71%). The prediction interval for mortality ranged from 0.00 to 100%. Publication bias was indicated by an LFK index of 2.52.

METHOD: We extracted asthma data from the Global Burden of Disease database for South Asia (1990-2021). Joinpoint regression analysis was used to assess temporal trends in asthma burden. Total Percentage change (TPC) in age-standardized rates of incidence, mortality, and DALYs were calculated. Data were stratified by gender, and the contribution of risk factors was evaluated.

RESULTS: Asthma-related mortality in South Asia decreased by 37%, from 27.78 per 100,000 (1990) to 17.54 per 100,000 (2021). The Maldives showed the most significant reduction in mortality (78.31%), while Bangladesh recorded a 47.44% reduction in prevalence and a 62.64% decrease in DALYs. High BMI, smoking, and environmental risks contributed significantly to DALYs, with environmental factors playing a major role in countries like Afghanistan (20.73%) and Bhutan (18.58%). Females, particularly those over 20, experienced higher asthma-related DALYs than males.

METHODS: A comprehensive search was conducted across PubMed, Embase, and Web of Science, covering studies published up to September 30, 2024. We included peer-reviewed observational studies evaluating the link between cannabis consumption and the risk of asthma diagnosis. Data synthesis employed a random-effects meta-analysis to account for heterogeneity. R statistical software (version 4.4) was used for statistical analyses.

RESULTS: The search yielded 8 relevant studies after screening 1,887 records. The pooled odds ratio (OR) for the association between cannabis consumption and the risk of asthma diagnosis was 1.31, 95% confidence interval (CI): 1.19-1.44, indicating greater odds of having asthma compared to non-users. Moderate heterogeneity was observed (I² = 46%), and sensitivity analysis confirmed the robustness of the findings.

CONCLUSION: This systematic review and meta-analysis identifies a significant association between cannabis use and greater odds of having asthma. These findings emphasize the importance of raising awareness about the potential respiratory risks associated with cannabis use. Future research should prioritize identifying moderating factors, such as the frequency and mode of cannabis consumption, to enhance understanding of this association and provide a stronger evidence base for potential public health interventions.

METHODS: This analysis utilized data from the GBD study to assess age-standardized prevalence (ASPR), incidence (ASIR), disability-adjusted life years (DALYs) (ASDR), and mortality rates (ASMR) for COPD across Indian states. Joinpoint regression was used to analyze temporal trends, while ARIMA models predicted future incidence rates.

RESULTS: In 2021, the highest ASIR was observed in Rajasthan at 306.28, and the highest ASMR was observed in Uttarakhand at 227.19. Projections suggest that the ASIR for COPD in India will decrease from 265.16 in 2022 to 258.19 by 2031. The heatmap analysis identified states like Uttarakhand and Rajasthan as having the highest DALYs attributable to COPD risk factors, including air pollution and tobacco use.

METHODS: We conducted a comprehensive search across PubMed, Embase, and Web of Science until November 10 2024, selecting studies based on pre-defined criteria that involve adults with AF and measurements of VEGF levels. The selected studies included observational and experimental designs, excluding non-English and methodologically insufficient publications. Narrative synthesis was used for summarising the results.

RESULTS: Eight studies met the inclusion criteria. The studies show a general trend of elevated VEGF levels in AF patients compared to controls, with significant heterogeneity in findings across studies. VEGF subtypes such as VEGF-A and VEGF-D demonstrated stronger associations with AF risk compared to VEGF-C. These variations point to the complex role of VEGF in AF, influencing factors like angiogenesis, endothelial function, and inflammatory responses.

CONCLUSION: VEGF is potentially a significant contributor to AF pathophysiology, with its levels reflecting disease activity. The variability observed across studies suggests a need for standardized measurement approaches and further investigation into VEGF subtypes. Future research should focus on longitudinal studies to better understand the causal relationships and the potential of VEGF as a therapeutic target and biomarker in AF management.

METHODS: A comprehensive literature search was conducted across PubMed, Embase, and Web of Science up to July 30, 2024. Studies that met the inclusion criteria randomized controlled trials, cohort studies, case-control studies, and observational studies assessing the incidence of prostate cancer in GLP-1 RA-treated patients were included. The quality of studies was evaluated using the Newcastle-Ottawa Scale and the Cochrane Risk of Bias tool. Meta-analysis was performed using a random effects model.

RESULTS: A total of five studies were included, analyzing data from diverse international contexts. The included studies showed a reduced risk of prostate cancer with both adjusted and unadjusted effect estimates with GLP-1 RAs. The meta-analysis revealed an RR of 0.72 (95% CI: 0.610 to 0.832), indicating a statistically significant 28% reduction in prostate cancer risk associated with GLP-1 RA use compared to placebo or other antidiabetic drugs. Moderate heterogeneity was observed (I2 = 51%). Sensitivity analysis confirmed the results.

DESIGN: Systematic review and meta-analysis.

METHODS: A comprehensive literature search was conducted across PubMed, Embase, Scopus and Web of Science, identifying studies published through October 5, 2024. Studies involving adult patients with Type 1 or Type 2 diabetes and reporting diagnostic metrics such as sensitivity and specificity were included. The primary outcomes were pooled sensitivity and specificity of IDX-DR. A bivariate random-effects model was used for meta-analysis, and summary receiver operating characteristic (SROC) curves were generated to assess diagnostic performance. Statistical analyses were performed using MetaDisc software version 2.0.

RESULTS: Thirteen studies involving 13,233 participants met the inclusion criteria. IDX-DR's pooled sensitivity was 0.95 (95% CI: 0.82-0.99), and its pooled specificity was 0.91 (95% CI: 0.84-0.95). The SROC curve confirmed IDX-DR's high diagnostic accuracy in detecting diabetic retinopathy across various clinical environments. The AUC value of 0.95 demonstrated high sensitivity and specificity, indicating a robust diagnostic performance for IDX-DR in detecting diabetic retinopathy.

METHODS: Data for this study were sourced from the Global burden of disease (GBD) 2021 study, which utilizes a Bayesian meta-regression model to estimate mortality, prevalence, and disability-adjusted life years (DALYs). Spatial maps depicting the age-standardized prevalence rate and age-standardized mortality rate for neonatal disorders in South Asia were generated using QGIS software. Mortality forecasts for the period 2022-2031, attributed to various neonatal disorders, were produced employing the Auto-Regressive Integrated Moving Average model in R software. Additionally, an analysis of overall neonatal mortality trends from 1980 to 2021 was conducted, supplemented by a heat map that compares DALYs attributable to various neonatal disorders across South Asian countries in 2021.

RESULTS: Between 1980 and 2021, South Asia experienced a substantial decline in neonatal mortality rates, with India and Bangladesh leading the progress. Mortality decreased by 40%, while DALYs fell by 35%, despite a 15% increase in the prevalence. The prevalence of neonatal encephalopathy due to birth asphyxia and trauma surged by 355%, yet its mortality dropped by 31%. Pakistan recorded the highest neonatal mortality and disease burden, particularly for hemolytic disease and other neonatal jaundice and neonatal encephalopathy due to birth asphyxia and trauma. In India and Bangladesh, neonatal preterm birth and neonatal sepsis and other neonatal infections contributed most to mortality. Neonatal encephalopathy due to birth asphyxia and trauma accounted for the highest DALYs. Forecasts predict continued reductions in neonatal mortality across South Asia, except in Pakistan, where persistently high rates are expected till 2031.

METHODS: We used Global Burden of Disease (GBD) 2021 data to assess the burden of AHE across eight South Asian countries from 1990 to 2021. Joinpoint regression was used to analyze temporal trends and Estimated Annual Percentage Change (EAPC) was calculated to quantify trends. The relationship between age-standardized disability-adjusted life years rate (ASDR) and socio-demographic index (SDI) was assessed using smoothing spline model and Spearman rank correlation. Rates are expressed per 100,000 population.

RESULTS: Bangladesh had highest age-standardized prevalence rate (ASPR) [33.27 (95 % Uncertainty Interval: 27.64 to 39.95)] and age-standardized incidence rate (ASIR) [433.01 (359.61 to 519.76)], while India had highest ASDR [9.52 (4.33 to 18.42)]. Males had higher ASIR and ASPR than females in most South Asian countries, except Bhutan and India, and higher ASDR except in Nepal and Pakistan. Bhutan had the highest EAPC for both sexes in ASPR and ASIR, while India had the highest EAPC in ASDR, closely followed by Bhutan for both sexes. Age group 5-9 had the highest ASPR and ASIR whereas <1-year age group had the highest ASDR. There was an inverse relationship between ASDR and SDI (R = -0.49, p < 0.01).

METHODS: Data covering South Asian countries such as Bangladesh, Bhutan, India, Nepal, and Pakistan were obtained from the GBD 2021 portal. Age-standardized rates (ASRs) for prostate cancer metrics, including incidence (ASIR), prevalence (ASPR), mortality (ASMR), and DALYs (ASDR), were analyzed via joinpoint and ARIMA modeling techniques. Geographic variations in ASRs were mapped via QGIS software.

RESULTS: The prostate cancer ASIR, ASPR, and ASDR significantly increased from 1990 to 2021, particularly among individuals aged 60-65 years. The highest incidence and mortality rates were observed in Pakistan. The total percentage change in incidence in India was the highest at 61%. Projections indicate a continued rise in prostate cancer incidence, with South Asia's ASIR expected to reach 9.34 per 100 000 by 2031.

STUDY DESIGN: Systematic review and meta-analysis.

METHODS: A search was conducted across multiple databases until February 15, 2024. Observational studies that assessed the prevalence of gaming disorder were included. Nested Knowledge software was used for screening and data extraction. The quality assessment was performed using the Joanna Briggs Institute tool. Meta-analysis using a random effect model was used to synthesize prevalence rates. Statistical analyses were performed in R software version 4.3.

RESULTS: The meta-analysis included 84 studies covering a diverse geographical scope totaling 641,763 individuals. The pooled prevalence of gaming disorder was 8.6 % (95 % CI: 6.9 %-10.8 %), (I2 = 100 %). Subgroup analysis revealed varying prevalence rates by country, with China reporting the highest rate at 11.7 % (95 % CI: 8.6 %-15.7 %). Meta-regression analysis highlighted an increasing trend in the prevalence of gaming disorder over the years, underscoring the growing impact of digital technologies.

METHODS: We conducted a thorough search up until October 10, 2024, across databases such as PubMed, Web of Science, and Embase. Studies that reported lipid profiles in both H. pylori-infected and non-infected patients were considered eligible. The primary outcomes were triglyceride, LDL-C, HDL-C, and total cholesterol levels, which were examined using a random-effects model in R software version 4.4.

RESULTS: There were 17 studies with more than 150,000 participants from 681 screened publications. Higher levels of LDL (MD: 5.32 mg/dL; 95% CI: 1.315 to 9.319) and total cholesterol (MD: 6.28 mg/dL; 95% CI: 0.718 to 11.842), as well as lower levels of HDL (MD: -2.06 mg/dL; 95% CI: -3.212 to -0.915), were the results of the meta-analysis. Among those infected, triglyceride levels were likewise higher (MD: 7.93 mg/dL; 95% CI: 0.413 to 15.436), but the odds ratio (OR) did not show a significant increase in risk (OR: 1.002; 95% CI: 0.995 to 1.010).

METHODS: A comprehensive search was conducted across PubMed, Embase, and Web of Science for studies published up to September 20, 2024. Observational studies assessing the association between ENDS use and COPD risk were included. A random-effects meta-analysis was performed using R statistical software (version 4.4). Tobacco smoking, a key confounder in COPD research, was accounted for in many included studies, with adjustments varying across studies.

RESULTS: Fifteen studies met the inclusion criteria. The pooled odds ratio (OR) for current ENDS use and COPD risk was 1.488 (95 % CI: 1.363-1.623). Former ENDS users had an OR of 1.839 (95 % CI: 1.513-2.234), and ever-users had an OR of 1.787 (95 % CI: 1.421-2.247). Sensitivity analyses confirmed the robustness of findings, and no publication bias was detected.

METHODS: The PURE study is a prospective, population-based cohort study of individuals aged 35-70 years who have been enrolled from 21 countries across five continents. The key outcomes were the incidence of fatal and non-fatal cardiovascular diseases, cancers, injuries, respiratory diseases, and hospital admissions, and we calculated the age-standardised and sex-standardised incidence of these events per 1000 person-years.

FINDINGS: This analysis assesses the incidence of events in 162 534 participants who were enrolled in the first two phases of the PURE core study, between Jan 6, 2005, and Dec 4, 2016, and who were assessed for a median of 9·5 years (IQR 8·5-10·9). During follow-up, 11 307 (7·0%) participants died, 9329 (5·7%) participants had cardiovascular disease, 5151 (3·2%) participants had a cancer, 4386 (2·7%) participants had injuries requiring hospital admission, 2911 (1·8%) participants had pneumonia, and 1830 (1·1%) participants had chronic obstructive pulmonary disease (COPD). Cardiovascular disease occurred more often in LICs (7·1 cases per 1000 person-years) and in MICs (6·8 cases per 1000 person-years) than in HICs (4·3 cases per 1000 person-years). However, incident cancers, injuries, COPD, and pneumonia were most common in HICs and least common in LICs. Overall mortality rates in LICs (13·3 deaths per 1000 person-years) were double those in MICs (6·9 deaths per 1000 person-years) and four times higher than in HICs (3·4 deaths per 1000 person-years). This pattern of the highest mortality in LICs and the lowest in HICs was observed for all causes of death except cancer, where mortality was similar across country income levels. Cardiovascular disease was the most common cause of deaths overall (40%) but accounted for only 23% of deaths in HICs (vs 41% in MICs and 43% in LICs), despite more cardiovascular disease risk factors (as judged by INTERHEART risk scores) in HICs and the fewest such risk factors in LICs. The ratio of deaths from cardiovascular disease to those from cancer was 0·4 in HICs, 1·3 in MICs, and 3·0 in LICs, and four upper-MICs (Argentina, Chile, Turkey, and Poland) showed ratios similar to the HICs. Rates of first hospital admission and cardiovascular disease medication use were lowest in LICs and highest in HICs.

INTERPRETATION: Among adults aged 35-70 years, cardiovascular disease is the major cause of mortality globally. However, in HICs and some upper-MICs, deaths from cancer are now more common than those from cardiovascular disease, indicating a transition in the predominant causes of deaths in middle-age. As cardiovascular disease decreases in many countries, mortality from cancer will probably become the leading cause of death. The high mortality in poorer countries is not related to risk factors, but it might be related to poorer access to health care.

DESIGN: Population-based prospective observational study.

SETTING: Urban and rural communities in 20 high income, middle income and low income.

PARTICIPANTS: 119 894 community-dwelling middle-aged adults.

MAIN OUTCOME MEASURES: Associations of social isolation with mortality, cardiovascular death, non-cardiovascular death and incident diseases.

RESULTS: Social isolation was more common in middle-income and high-income countries compared with low-income countries, in urban areas than rural areas, in older individuals and among women, those with less education and the unemployed. It was more frequent among smokers and those with a poorer diet. Social isolation was associated with greater risk of mortality (HR of 1.26, 95% CI: 1.17 to 1.36), incident stroke (HR: 1.23, 95% CI: 1.07 to 1.40), cardiovascular disease (HR: 1.15, 95% CI: 1.05 to 1.25) and pneumonia (HR: 1.22, 95% CI: 1.09 to 1.37), but not cancer. The associations between social isolation and mortality were observed in populations in high-income, middle-income and low-income countries (HR (95% CI): 1.69 (1.32 to 2.17), 1.27 (1.15 to 1.40) and 1.47 (1.25 to 1.73), respectively, interaction p=0.02). The HR associated with social isolation was greater in men than women and in younger than older individuals. Mediation analyses for the association between social isolation and mortality showed that unhealthy behaviours and comorbidities may account for about one-fifth of the association.

METHODS: In the Prospective Urban Rural Epidemiological study (PURE), individuals aged 35-70 years from urban and rural communities in 27 countries were considered for inclusion. We recorded information on participants' sociodemographic characteristics, risk factors, medication use, cardiac investigations, and interventions. 168 490 participants who enrolled in the first two of the three phases of PURE were followed up prospectively for incident cardiovascular disease and death.

FINDINGS: From Jan 6, 2005 to May 6, 2019, 202 072 individuals were recruited to the study. The mean age of women included in the study was 50·8 (SD 9·9) years compared with 51·7 (10) years for men. Participants were followed up for a median of 9·5 (IQR 8·5-10·9) years. Women had a lower cardiovascular disease risk factor burden using two different risk scores (INTERHEART and Framingham). Primary prevention strategies, such as adoption of several healthy lifestyle behaviours and use of proven medicines, were more frequent in women than men. Incidence of cardiovascular disease (4·1 [95% CI 4·0-4·2] for women vs 6·4 [6·2-6·6] for men per 1000 person-years; adjusted hazard ratio [aHR] 0·75 [95% CI 0·72-0·79]) and all-cause death (4·5 [95% CI 4·4-4·7] for women vs 7·4 [7·2-7·7] for men per 1000 person-years; aHR 0·62 [95% CI 0·60-0·65]) were also lower in women. By contrast, secondary prevention treatments, cardiac investigations, and coronary revascularisation were less frequent in women than men with coronary artery disease in all groups of countries. Despite this, women had lower risk of recurrent cardiovascular disease events (20·0 [95% CI 18·2-21·7] versus 27·7 [95% CI 25·6-29·8] per 1000 person-years in men, adjusted hazard ratio 0·73 [95% CI 0·64-0·83]) and women had lower 30-day mortality after a new cardiovascular disease event compared with men (22% in women versus 28% in men; p<0·0001). Differences between women and men in treatments and outcomes were more marked in LMICs with little differences in HICs in those with or without previous cardiovascular disease.

INTERPRETATION: Treatments for cardiovascular disease are more common in women than men in primary prevention, but the reverse is seen in secondary prevention. However, consistently better outcomes are observed in women than in men, both in those with and without previous cardiovascular disease. Improving cardiovascular disease prevention and treatment, especially in LMICs, should be vigorously pursued in both women and men.

Objective: To assess whether sleep timing and napping behavior are associated with increased obesity, independent of nocturnal sleep length.

Design, Setting, and Participants: This large, multinational, population-based cross-sectional study used data of participants from 60 study centers in 26 countries with varying income levels as part of the Prospective Urban Rural Epidemiology study. Participants were aged 35 to 70 years and were mainly recruited during 2005 and 2009. Data analysis occurred from October 2020 through March 2021.

Exposures: Sleep timing (ie, bedtime and wake-up time), nocturnal sleep duration, daytime napping.

Main Outcomes and Measures: The primary outcomes were prevalence of obesity, specified as general obesity, defined as body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 30 or greater, and abdominal obesity, defined as waist circumference greater than 102 cm for men or greater than 88 cm for women. Multilevel logistic regression models with random effects for study centers were performed to calculate adjusted odds ratios (AORs) and 95% CIs.

Results: Overall, 136 652 participants (81 652 [59.8%] women; mean [SD] age, 51.0 [9.8] years) were included in analysis. A total of 27 195 participants (19.9%) had general obesity, and 37 024 participants (27.1%) had abdominal obesity. The mean (SD) nocturnal sleep duration was 7.8 (1.4) hours, and the median (interquartile range) midsleep time was 2:15 am (1:30 am-3:00 am). A total of 19 660 participants (14.4%) had late bedtime behavior (ie, midnight or later). Compared with bedtime between 8 pm and 10 pm, late bedtime was associated with general obesity (AOR, 1.20; 95% CI, 1.12-1.29) and abdominal obesity (AOR, 1.20; 95% CI, 1.12-1.28), particularly among participants who went to bed between 2 am and 6 am (general obesity: AOR, 1.35; 95% CI, 1.18-1.54; abdominal obesity: AOR, 1.38; 95% CI, 1.21-1.58). Short nocturnal sleep of less than 6 hours was associated with general obesity (eg, <5 hours: AOR, 1.27; 95% CI, 1.13-1.43), but longer napping was associated with higher abdominal obesity prevalence (eg, ≥1 hours: AOR, 1.39; 95% CI, 1.31-1.47). Neither going to bed during the day (ie, before 8pm) nor wake-up time was associated with obesity.