BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a growing health crisis in the general population of the United States (U.S.), but the relationship between systemic immune-inflammation (SII) index and NAFLD is not known.
METHODS: We collected data from the National Health and Nutrition Examination Survey 2017-2018. Next, propensity score matching (PSM), collinearity analysis, restricted cubic spline (RCS) plot, logistic regression, quantile regression analysis, subgroup analysis, mediation analysis, and population attributable fraction were used to explore the association of the SII with risk of NAFLD.
RESULTS: A total of 665 participants including the 532 Non-NAFLD and 133 NAFLD were enrolled for further analysis after PSM analysis. The RCS results indicated that there was a linear relationship between the SII and controlled attenuation parameter (p for nonlinear = 0.468), the relationship also existed after adjustment for covariates (p for nonlinear = 0.769). The logistic regression results indicated that a high SII level was an independent risk factor for NAFLD (OR = 3.505, 95% CI: 1.092-11.249, P < 0.05). The quantile regression indicated that at higher quantiles (0.90, and 0.95) the SII was significantly associated with NAFLD (p < 0.05). Mediation analysis indicated that alanine aminotransferase (ALT), triglycerides, and blood urea nitrogen (BUN) were partially contribute to the relationship between SII and NAFLD. The population attributable fractions indicated that 23.19% (95% CI: 8.22%, 38.17%) of NAFLD cases could be attributed to SII corresponding to 133 NAFLD cases.
CONCLUSIONS: There was a positive linear relationship between the SII and the risk of NAFLD. The ALT, triglycerides, and BUN had a partial mediating effect on the relationship between the SII and NAFLD.

OBJECTIVE: The contribution of suboptimal diets to gastrointestinal (GI) cancer incidence globally remains unquantified, and we aimed to evaluate it.
METHODS: Comprehensive meta-analyses and rigorous evidence-grading assessment identified the associations between suboptimal diets and 6 GI cancers and their subtypes. A comparative risk assessment model was used to estimate the proportional attributable burden and attributable rate of GI cancers to suboptimal diets by using the corroborative association estimates. In addition, correlation assessments with the Sociodemographic Index were carried out.
RESULTS: In 2018, 21.5% (95% uncertainty interval, 19.1%-24.5%) of incident GI cancer cases globally were attributable to suboptimal diets, maintaining a relatively stable proportion since 1990 (22.4%; 19.7%-25.6%), whereas the absolute diet-attributable cases doubled from 581,000 (511,000-664,000) in 1990 to 1,040,000 (923,000-1,187,000) in 2018. Excessive processed meat consumption (5.9%; 4.2%-7.9%), insufficient fruit intake (4.8%; 3.8%-5.9%), and insufficient whole grain intake (3.6%; 2.8%-5.1%) were the most significant dietary risk factors in 2018, a shift from 1990 when the third major concern was insufficient nonstarchy vegetable intake. In addition, Central and Eastern Europe and Central Asia experienced the highest attributable burden across regions in both 1990 (31.6%; 27.0%-37.4%) and 2018 (31.6%; 27.3%-36.5%), and a positive correlation (P < .01) between the Sociodemographic Index and the attributable GI cancer incidence was observed.
CONCLUSIONS: Although the proportional attributable GI incidence remains relatively stable, the doubling of absolute cases from 1990 to 2018, along with the discrepancies among urbanicity and countries/regions, informs dietary priorities and more targeted preventive measures.

UNASSIGNED: Breast cancer (BC) represents a significant health challenge in Europe due to its elevated prevalence and heterogeneity. Despite notable progress in diagnostic and treatment methods, the region continues to grapple with rising BC burdens, with comprehensive investigations into this matter notably lacking. This study explores BC burden and potential contributing risk factors in 44 European countries from 1990 to 2019. The aim is to furnish evidence supporting the development of strategies for managing BC effectively.
UNASSIGNED: Disease burden estimates related to breast cancer from the Global Burden of Disease 2019(GBD2019) across Eastern, Central, and Western Europe were examined using Joinpoint regression for trends from 1990 to 2019. Linear regression models examined relationships between BC burden and Socio-demographic Index (SDI), healthcare access and quality (HAQ), and BC prevalence. We utilized disability-adjusted life year(DALY) proportions for each risk factor to depict BC risks.
UNASSIGNED: In Europe, the BC burden was 463.2 cases per 100,000 people in 2019, 1.7 times the global burden. BC burden in women was significantly higher and increased with age. Age-standardized mortality and DALY rates of BC in Europe in 2019 decreased by 23.1%(average annual percent change: AAPC -0.92) and 25.9%(AAPC -1.02), respectively, compared to 1990, in line with global trends. From 1990 to 2019, age-standardized DALY declined faster in Western Europe (-34.8%, AAPC -1.49) than in Eastern Europe (-9.4%, AAPC -0.25) and Central Europe (-15.0%, AAPC -0.56). Monaco, Serbia, and Montenegro had the highest BC burden in Europe in 2019. BC burden was negatively correlated with HAQ. In addition, Alcohol use and Tobacco were significant risk factors for DALY. High fasting plasma glucose and obesity were also crucial risk factors that cannot be ignored in DALY.
UNASSIGNED: The burden of BC in Europe remains a significant health challenge, with regional variations despite an overall downward trend. Addressing the burden of BC in different regions of Europe and the increase of DALY caused by different risk factors, targeted prevention measures should be taken, especially the management of alcohol and tobacco should be strengthened, and screening services for BC should be popularized, and medical resources and technology allocation should be optimized.

It remains unclear the age-specific associations of risk factors with deaths and mortality burden attributable across age. In a territory-wide retrospective cohort, 1,012,228 adults with hypertension were identified. Comorbidities including diabetes, chronic kidney disease (CKD), cardiovascular disease (CVD), heart failure, and cancer, and risk factors including current smoking and suboptimal control of blood pressure (BP), glucose and low-density lipoprotein cholesterol were defined. Associations of comorbidities/risk factors with all-cause and cause-specific mortality across age groups (18-54, 55-64, 65-74, and ≥75 years) were assessed. Population attributable fractions were also quantified. During a median follow-up of 10.7 years, 244,268 (24.1%) patients died, with pneumonia (7.2%), cancer (5.1%), and CVD (4.2%) being the leading causes. Despite increasing deaths with age, relative risk of mortality related to comorbidities/risk factors decreased with age; similar patterns were found for cause-specific mortality. The assessed risk factors accounted for 24.0% (95% CI 22.5%, 25.4%) deaths, with highest proportion in the youngest group (33.5% [28.1%, 38.5%] in 18-54 years vs 19.4% [17.0%, 21.6%] in ≥75 years). For mortality burden, CKD was the overall leading risk factor (12.7% [12.4%, 12.9%]) with higher proportions in older patients (11.1-13.1% in ≥65 years), while diabetes was the leading risk factor in younger patients (15.9-13.5% in 18-54 years). The association of comorbidities or risk factors with mortality is stronger in younger patients with hypertension, despite lower absolute mortality in young patients than in the elderly. Leading risk factors differed across age, highlighting the importance of targeted and precise risk management.

OBJECTIVE: The association of sleep traits (insomnia, sleep duration, chronotype, daytime sleepiness, and snoring) with benign prostatic hyperplasia (BPH) is unclear. This research aimed to examine the effects of sleep traits on BPH risk.
METHODS: A total of 170 241 men aged 38 to 73 years from UK Biobank were included. An overall healthy sleep score was created based on five sleep traits. A Cox regression model was utilized to compute adjusted hazard ratios (HRs) and population attributable fractions (PAFs) with 95% confidence intervals (CIs) for BPH risk in relation to sleep traits.
RESULTS: During a median of 12.0 years follow-up, 13 026 incident BPH cases occurred. We observed that sleep duration (7-8 h/d; HR 0.95; 95% CI 0.92-0.99), no frequent insomnia (HR 0.71; 95% CI 0.69-0.74), and no frequent daytime sleepiness (HR 0.86; 95% CI 0.79-0.93) were significantly related to reduced BPH risk. Each one-point increment of the healthy sleep score was related to a decreased BPH risk, with an adjusted HR of 0.90 (95% CI 0.89-0.92). The multivariable-adjusted HR in men adopting five versus zero to one low-risk sleep traits was 0.68 (95% CI 0.61-0.75) for BPH risk. Estimates of the PAF indicated that 9.1% (95% CI 5.8-12.5%) of BPH cases would be prevented if all individuals had adopted all five low-risk sleep traits, assuming causality.
CONCLUSIONS: Our study indicates an association between a healthy sleep pattern and a lower risk of BPH, emphasizing the importance of adhering to such patterns for potentially reducing BPH risk. Geriatr Gerontol Int 2024; 24: 675-682.

BACKGROUND: Evidence regarding sex differences in the associations of traditional risk factors with incident heart failure (HF) hospitalization among Chinese general adults is insufficient. This study aimed to evaluate the potential sex differences in the associations of traditional risk factors with HF among Chinese general adults.
RESULTS: Data were from a subcohort of the China PEACE (Patient-Centered Evaluative Assessment of Cardiac Events) Million Persons Project. The traditional risk factors were collected at baseline, and the study outcome was HF-related hospitalization identified from the Inpatients Registry. A total of 102 278 participants (mean age, 54.3 years; 39.5% men) without prevalent HF were recruited. A total of 1588 cases of HF-related hospitalization were captured after a median follow-up of 3.52 years. The incidence rates were significantly higher in men (2.1%) than in women (1.2%). However, the observed lower risk of HF in women was significantly attenuated or even vanished when several traditional risk factors were poorly controlled (P for sex-by-risk factors <0.05). The selected 11 risk factors collectively explained 62.5% (95% CI, 55.1-68.8) of population attributable fraction for HF in women, which is much higher than in men (population attributable fraction, 39.6% [95% CI, 28.5-48.9]).
CONCLUSIONS: Although women had a lower incidence rate of hospitalization for HF than men in this study, the risk for HF increased more remarkably in women than in men when several traditional risk factors were poorly controlled. This study suggests that intensive preventative strategies are immediately needed in China.

The petrochemical industry is a major industrial emitter of greenhouse gas (CO2) and environmental pollution, posing health risks to nearby communities. Although previous studies have indicated that residents living near petrochemical industrial complexes are at a higher risk of cancer, they have focused on local or regional burdens. This study aimed to estimate the global cancer burden attributable to residential exposure to petrochemical industrial complexes. The geographical coordinates of petrochemical plants and oil refineries were retrieved and verified from published sources. The ArcGIS software and global population data were used to estimate the number of people living within specific distances (exposed population). The exposure time window was framed as ranging from 1992 to 2035, extending to the latest period of the exposure time window for all cancer types to estimate the attributable deaths between 2020 and 2040. The relative risk of cancer was estimated from 15 published studies. Population attributable fraction (PAF) method was used to estimate the risk of cancer attributable to residential exposure and calculate the number of cancer-related deaths. Our findings indicate that >300 million people worldwide will be estimated to live near petrochemical industrial complexes by 2040. The overall global burden of cancer-related deaths was 19,083 in 2020, and it is estimated to increase to 27,366 deaths by 2040. The region with the highest attributable cancer deaths due to exposure is the high-income region, which had 10,584 deaths in 2020 and is expected to reach 13,414 deaths by 2040. Residential exposure to petrochemical industrial complexes could contribute to global cancer deaths, even if the proportion is relatively small, and proactive measures are required to mitigate the cancer burdens among these residents. Enforcing emissions regulations, improving monitoring, educating communities, and fostering collaboration are vital to protecting residents\' health.

BACKGROUND: The death burden attributable to modifiable risk factors is key to colorectal cancer (CRC) prevention. This study aimed to assess the prevalence and regional distribution of attributable CRC death burden worldwide from 1990 to 2019.
METHODS: We extracted data from the Global Burden of Disease Study in 2019 and assessed the mortality, age-standardized death rate (ASDR), population attributable fractions, and time trend in CRC attributable to risk factors by geography, socio-demographic index (SDI) quintile, age, and sex.
RESULTS: Over the past 30 years, from high to low SDI region, the number of deaths increased by 46.56%, 103.55%, 249.64%, 231.89%, 163.11%, and the average annual percentage change (AAPC) for ASDR were -1.06%, -0.01%, 1.32%, 1.19%, and 0.65%, respectively. ASDR in males was 1.88 times than in females in 2019; ASDR in males showed an increasing trend (AAPC 0.07%), whereas ASDR in females showed a decreasing trend (AAPC -0.69%) compared to figures in 1990. In 2019, from high to low SDI region, the 15-49 age group accounted for 3%, 6%, 10%, 11%, and 15% of the total population; dietary and metabolic factors contributed 43.4% and 20.8% to CRC-attributable death worldwide. From high to low SDI region, ASDRs caused by dietary and metabolic factors increased by -23.4%, -5.5%, 25.8%, 29.1%, 13.5%, and 1.4%, 33.3%, 100.8%, 128.4%, 77.7% respectively, compared to 1990.
CONCLUSIONS: The attributable CRC death burden gradually shifted from higher SDI to lower SDI regions. The limitation in males was more significant, and the gap is expected to be further expanded. In lower SDI regions, the death burden tended to affect younger people. The leading cause of CRC-attributable deaths was the inadequate control of dietary and metabolic risk factors.

OBJECTIVE: To determine the population health burden attributable to the development of diabetes among women with a history of gestational diabetes mellitus (GDM).
METHODS: We conducted a retrospective analysis of women with a history of GDM attending the Hong Kong Hospital Authority between 2000 and 2019. The time-varying population attributable fraction was calculated.
RESULTS: A total of 76,181 women with a history of gestational diabetes mellitus were included, 6,606 of them developed diabetes during a median follow-up of 8.6 years. The respective hazard ratios (95% confidence interval) among women with GDM who developed diabetes vs those with GDM only were 2.8 (2.2, 3.7) for cardiovascular disease (CVD), 4.8 (3.0, 7.7) for end-stage kidney disease (ESKD), 2.2 (1.9, 2.6) for infection-related hospitalization, and 1.8 (1.3, 2.4) for all-cause mortality. The development of diabetes was associated with 1.3 (0.8, 1.7), 0.6 (0.3, 0.8), 3.2 (2.4, 4.0), and 0.5 (0.2, 0.9) additional incident cases per 1,000 person-years, accounting for 24.0% (13.2%, 35.9%), 42.0% (22.5%, 58.8%), 10.8% (7.1%, 14.9%), and 6.0% (-3.1%, 16.1%) of absolute number of CVD, ESKD, infection-related hospitalization, and all-cause mortality over 20 years after GDM, respectively.
CONCLUSIONS: Diabetes is a significant contributor to the population health burden of some clinical outcomes in women with a history of gestational diabetes mellitus, but other risk factors need to be considered.

OBJECTIVE: We aimed to evaluate the risk of cardiovascular disease (CVD) in women with polycystic ovary syndrome (PCOS) and estimate the global incidence of PCOS-associated CVD.
METHODS: We conducted a meta-analysis across five databases to evaluate the risk of CVD among women with PCOS. Global incidence of PCOS-associated CVD was calculated by a population attributable fraction (PAF) modelling using the pooled RR, PCOS prevalence, CVD incidence number and age-standardized rate (ASIR), from the Global Burden of Diseases 2019. An estimated annual percentage change (EAPC) was used to assess the temporal trend of PCOS-associated CVD.
RESULTS: The risk of CVD was significantly increased in the women with PCOS for all-age group (pooled RR 1.51, 95% CI 1.36-1.69), and 10- to 54-year-old (1.37, 1.17-1.59). Globally, from 1990 to 2019, the PCOS associated CVD cases in women across all-age group has rised from 102 530 to 235 560. The most affected regions were East Asia & Pacific (108 430, 66 090-166 150) in 2019. The South Asia has the highest increase trend of PCOS-associated CVD ASIRs (EAPC 2.61%, 2.49-2.73). The annual increase ASIR in PCOS-CVD incidence for the 10-54 age group (EAPC 0.49%; 0.41-0.56) is faster than that of the all-age group (0.34; 0.27-0.42). The middle- or low-middle sociodemographic index countries, experienced higher increase trend of CVD due to PCOS in the past thirty years.
CONCLUSIONS: Women with PCOS have a significantly increased risk of CVD. Efficient measures to enhance its prevention and treatment are important for regions with high PCOS-associated CVD burden, especially premature CVD in women under 55 years.
Studies have reported cardiovascular disease (CVD) is the leading cause of mortality for women. Meanwhile, women with polycystic ovary syndrome (PCOS) substantially elevate the risk of CVD. However, no studies have quantified the impact of PCOS on the overall CVD burden. This study performed a meta-analysis to assess the risk of CVD in all-age group and 10 to 54 years old women, living with PCOS with 17 articles, and estimated the burdens of PCOS-associated CVD burden, by global, 7 World-bank defined regions, and 204 countries, from 1990 to 2019, using a PAF modelling. Our study implicated women in all-age group, and 10 to 54 years old with PCOS face a 1.51-fold, and 1.37-fold increased risk of CVD compared those without, respectively. Globally, approximately 0.85% of CVD new cases in 2019 were associated with PCOS, corresponded a more than 2-fold increase of PCOS-associated CVD cases from 1990. However, the burden of PCOS-associated CVD varies widely by region; for instance, nearly 1.49% of CVD new cases were attributed to PCOS in North America. Meanwhile, the East Asia & Pacific region had the highest PCOS-associated new CVD case, and the South Asia experienced the highest increase in age-standardised incidence rates of CVD due to PCOS. Notably, we found higher worldwide PAFs, and annual increase ASIR than that in all-age group women. This result suggests that premature CVD in women with PCOS under 55 years deserve more attention.