Frontiers in public health · 2026
The hidden epidemic of alcohol-induced neurological and psychiatric mortality in the U. S. (1999-2023): trends and disparities.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Liu Ying, Chen Yong, Xiao Xueling, Li Yuhua, Hu Kesheng
Аннотация
BACKGROUND: Alcohol use posed a significant burden to public health, contributing substantially to mortality from neurological and psychiatric disorders. Understanding trends and disparities in alcohol-induced neurological and psychiatric (AINP) mortality is crucial for informed policy and targeted interventions.
OBJECTIVES: This study is to analyze trends in AINP mortality and associated demographic and geographic disparities in the US between 1999 and 2023.
METHODS: Data from the CDC WONDER database were collected to identify AINP related deaths via ICD-10 codes (F10, G31.2, G62.1). Age-adjusted mortality rates (AAMRs, per 100,000 population) and annual percent changes (APCs) with 95% confidence intervals (CIs) were calculated to assess temporal trends. An autoregressive integrated moving average model was used to predict mortality rate changes in high-risk populations by 2030.
RESULTS: A total of 226,785 AINP deaths were reported. AAMR increased from 2.28 (1999) to 4.17 (2023), with no significant change (1999-2017: APC = -0.04%, p = 0.934), accelerated increase (2018-2021: APC = 18.35%, p = 0.036), followed by a modest decline (2021-2023: APC = -3.80%, p < 0.046). Female AAMR showed a higher APC (3.89%, p < 0.001) than males (2.55%). The Midwest showed the steepest APC (3.77%, p < 0.001), while the South and West showed the smallest increases (APC = 1.80 and 2.08%, both p < 0.01). Mortality growth rates rosed with increasing urbanization. American Indian/Alaska Native (AI/AN) populations had the highest AAMR, peaking at 21.13 in 2021 (APC 2.50%, p = 0.004). White people accounted for most deaths (75.69%), with AMMR increasing continuously (APC = 3.45%, p < 0.001)). Mortality peaked at ages 45-54 (crude rate: 7.86/100,000, 26.86% of deaths), 55-64 s most affected (30.98% of deaths). 56.85% of deaths occurred at home and 1.13% were pre-hospital. Female projections show a rising trend (APC 3.89%), while adults aged 45-74 show a slight decrease to 9.50 by 2030 despite a historical APC of 2.81%. Conclusions: From 1999 to 2023, US AINP mortality rosed steadily, disproportionately affecting females, AI/AN and White populations, Midwestern residents, and middle-aged and older adults. Most deaths occurred at home, reflecting healthcare access gaps. Targeted interventions for high-risk groups and regions, along with optimized medical resources allocation, are urgently needed.
OBJECTIVES: This study is to analyze trends in AINP mortality and associated demographic and geographic disparities in the US between 1999 and 2023.
METHODS: Data from the CDC WONDER database were collected to identify AINP related deaths via ICD-10 codes (F10, G31.2, G62.1). Age-adjusted mortality rates (AAMRs, per 100,000 population) and annual percent changes (APCs) with 95% confidence intervals (CIs) were calculated to assess temporal trends. An autoregressive integrated moving average model was used to predict mortality rate changes in high-risk populations by 2030.
RESULTS: A total of 226,785 AINP deaths were reported. AAMR increased from 2.28 (1999) to 4.17 (2023), with no significant change (1999-2017: APC = -0.04%, p = 0.934), accelerated increase (2018-2021: APC = 18.35%, p = 0.036), followed by a modest decline (2021-2023: APC = -3.80%, p < 0.046). Female AAMR showed a higher APC (3.89%, p < 0.001) than males (2.55%). The Midwest showed the steepest APC (3.77%, p < 0.001), while the South and West showed the smallest increases (APC = 1.80 and 2.08%, both p < 0.01). Mortality growth rates rosed with increasing urbanization. American Indian/Alaska Native (AI/AN) populations had the highest AAMR, peaking at 21.13 in 2021 (APC 2.50%, p = 0.004). White people accounted for most deaths (75.69%), with AMMR increasing continuously (APC = 3.45%, p < 0.001)). Mortality peaked at ages 45-54 (crude rate: 7.86/100,000, 26.86% of deaths), 55-64 s most affected (30.98% of deaths). 56.85% of deaths occurred at home and 1.13% were pre-hospital. Female projections show a rising trend (APC 3.89%), while adults aged 45-74 show a slight decrease to 9.50 by 2030 despite a historical APC of 2.81%. Conclusions: From 1999 to 2023, US AINP mortality rosed steadily, disproportionately affecting females, AI/AN and White populations, Midwestern residents, and middle-aged and older adults. Most deaths occurred at home, reflecting healthcare access gaps. Targeted interventions for high-risk groups and regions, along with optimized medical resources allocation, are urgently needed.