Journal of Epidemiology and Global Health最新文献

Background: It remains unknown how the patterns of change of social isolation and loneliness are associated with the onset of cardiovascular disease (CVD) and mortality. We aimed to investigate the longitudinal association of changes in social isolation and loneliness with incident CVD, all-cause mortality, CVD mortality and subsequent cardiac function.

Methods: This prospective cohort study included 18,258 participants aged 38-73 years who participated in visit 0 (2006-2010) and visit 1 (2012-2013) using UK Biobank (mean age 57.1, standard deviation [SD] 7.4; 48.7% males). Social isolation or loneliness was categorized into four patterns: never, transient, incident, and persistent. Incident CVD, all-cause and CVD mortality were ascertained through linkage data. Cardiac function was assessed by cardiovascular magnetic resonance imaging in a subsample (N = 5188; visit 2, since 2014).

Results: Over a median follow-up of 8.3 (interquartile range [IQR] 8.1-8.6) years, compared with never social isolation, persistent social isolation was associated with the higher risk of incident CVD (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.03-1.33), all-cause (1.42, 1.12-1.81) and CVD (1.53, 1.05-2.23) mortality. Likewise, persistent loneliness was strongly associated with the greater risk of incident CVD (1.13, 1.00-1.27), all-cause (1.28, 1.02-1.61) and CVD mortality (1.52, 1.06-2.18).

Conclusions: Persistent social isolation and loneliness posed a substantially higher risk for incident CVD, all-cause and CVD mortality, and cardiac dysfunction than other patterns. Persistent social isolation and loneliness, along with an increasing cumulative score, are associated with lower cardiac function.

Objective: To evaluate age-specific multimorbidity patterns and morbidity burden on mortality and healthcare expenditure across age groups.

Patients and methods: Retrospective observational study between January 1, 2009 to December 31, 2017 using electronic health records in Hong Kong: Individuals were stratified by age (< 50, 50-64, 65-79, ≥ 80), and sub-classified by number of morbidities (0, 1, 2, 3, ≥ 4) out of 21 common chronic conditions. Clustering analyses were conducted to identify specific patterns of multimorbidity. Association between the number as well as combinations of morbidities and all-cause mortality and public expenditure was examined.

Results: 4,562,832 individuals with a median follow-up of 7 years were included. Mental disorders were the top morbidities among young individuals, while cardiovascular diseases were prevalent in the elderly. An increased number of morbidities was associated with a greater relative risk for mortality and medical expenditure, and this relationship was stronger among younger patients. Compared to individuals in the same age group without morbidity, the hazard ratios (HR; 95% CI) of all-cause mortality in patients aged < 50 and ≥ 80 with two comorbidities 3.81 (3.60-4.03) and 1.38 (1.36-1.40), respectively, which increased to 14.22 (9.87-20.47) and 2.20 (2.13-2.26), respectively, as the number of morbidities increased to ≥ 4. The stroke-hypertension cluster was shown to be associated with the highest HR of mortality 2.48 (2.43-2.53) among all identified clusters arising from the clustering analysis.

Conclusion: Given the stronger association between multimorbidity and all-cause mortality and greater opportunity costs in younger populations, prevention and management of early-onset multimorbidity are warranted. (248 words).

The last decade has seen major advances and growth in internet-based surveillance for infectious diseases through advanced computational capacity, growing adoption of smart devices, increased availability of Artificial Intelligence (AI), alongside environmental pressures including climate and land use change contributing to increased threat and spread of pandemics and emerging infectious diseases. With the increasing burden of infectious diseases and the COVID-19 pandemic, the need for developing novel technologies and integrating internet-based data approaches to improving infectious disease surveillance is greater than ever. In this systematic review, we searched the scientific literature for research on internet-based or digital surveillance for influenza, dengue fever and COVID-19 from 2013 to 2023. We have provided an overview of recent internet-based surveillance research for emerging infectious diseases (EID), describing changes in the digital landscape, with recommendations for future research directed at public health policymakers, healthcare providers, and government health departments to enhance traditional surveillance for detecting, monitoring, reporting, and responding to influenza, dengue, and COVID-19.

Panic disorder (PD) is a severe anxiety disorder characterized by recurrent and unexpected panic attacks that cause intense distress. Despite the high prevalence of panic disorder and its significant impact on life, limited research has been conducted on its prevalence and their associated factors in Saudi Arabia. This study seeks to contribute to the understanding of PD among adults in Saudi Arabia by examining its prevalence and associated factors, using an online survey method. A validated questionnaire-based cross-sectional study was conducted targeting 1276 Saudi adults. Data were collected electronically via Google Forms from the eligible participants. The questionnaire comprised three sections: sociodemographic information, medical history, and a validated diagnostic tool for PD. The prevalence of PD among Saudi adults was 13.1%. Most individuals with PD experienced their first panic attack before the age of 18. Only 38.3% individuals with PD sought medical attention, and approximately one-third of those who sought help did not receive a diagnosis. Multiple logistic regression analysis revealed that significant risk factors for PD included being female; having chronic health problems, a comorbid psychiatric disorder, a high body mass index; and experiencing suicidal ideation (P < 0.05). The highest risk was associated with chronic diseases (adjusted odds ratio = 3.1, 95% confidence interval: 2.1-4.6). This study demonstrates that PD is a prevalent and debilitating mental health condition among Saudi Arabian adults. Non-mental health physicians should be aware of PD, as many cases remain undiagnosed.

Diarrheal disease remains a significant cause of preventable morbidity and mortality in the pediatric population, particularly among children below five years of age. Although the occurrence of diarrheal episodes is on the decline, its impact continues to escalate at a concerning rate among children under the age of five, especially in developing countries. The objective of this paper is to investigate the factors associated with diarrhea in Yemeni children younger than five years, drawing on data from the latest edition of the Multiple Indicator Cluster Survey (MICS) Yemen conducted in 2022-2023. To identify factors associated with the prevalence of childhood diarrhea, bivariate analysis and multivariable logistic regression were utilized. The findings of this study suggest that age group 6-23, unimproved sanitation, and low-income households are associated with high risk of diarrhea in children under five years of age in Yemen. The study contributes additional evidence regarding factors that should be prioritized in public health strategies geared towards reducing diarrheal prevalence among Yemeni children.

Newborn screening (NBS) programs are believed to play an important role in the decrease of infant mortality rates in many countries. This is achieved through offering early detection and treatment of many genetic as well as metabolic disorders prior to the onset of symptoms. Our paper examines NBS across seven diverse nations: Saudi Arabia, the United States, Japan, Singapore, Canada, Australia, and the United Kingdom. This paper discusses the diseases screened for by each country, latest additions, as well as future recommendations, when applicable. Employing a comparative approach, we conducted a comprehensive review of the most recent published literature on NBS programs in each country and subsequently examined their latest implemented NBS guidelines as outlined on their respective official government health sector websites. We then reviewed the economic feasibility of each of these programs and factors that affect implementation and overall benefit. While all six countries employ well-developed programs, variations are observed. Those variations are mainly attributed to disparities in access, resource scarcity, financial availability, as well as ethical and cultural considerations. From a local perspective, we recommend conducting further population-based studies to assess the epidemiological data in relation to the disease burden on the country's economy. Moreover, we recommend updating national and international guidelines to contain a more comprehensive approach on policies, operation, and sustainability to deliver a service through the lens of value-based healthcare.

Objectives: This study aimed to establish the exposure-lag-response effect between daily maximum temperature and stroke-related emergency department visits and to project heat-induced stroke impacts under global warming levels (GWL) of 2 °C and 4 °C.

Methods: Stroke-related emergency department visits in Taiwan from 2001 to 2020 were identified using the National Health Insurance Research Database (NHIRD). The study population consisted of 1,100,074 initial stroke cases matched with 2,200,148 non-stroke controls. We employed Distributed Lag Nonlinear Models (DLNM) in a case-crossover study to investigate the association between temperature and stroke. Generalized Estimating Equations (GEE) models with a Poisson function were used to correlate high-temperature exposure with annual stroke incidence rates. Projections were made under two global warming scenarios, GWL 2.0 °C and 4.0 °C, using Coupled General Circulation Model (GCMs). Baseline data from 1995 to 2014 were transformed for spatial distribution at the township level. Geographic Information System (GIS) spatial analysis was performed using Quantum GIS 3.2.0 software.

Results: DLNM exposure-lag-response effect revealed that daily maximum temperature exceeding 34 °C significantly increased the risk of stroke-related emergency department visits, particularly for ischemic stroke. Under the 2 °C GWL scenario, the frequency of days with temperatures surpassing 34 °C is projected to rise substantially by the median year of 2042, with a further increase to 92.6 ± 18.0 days/year by 2065 under the 4 °C GWL scenario. Ischemic stroke showed the highest increase in temperature-related incidence rates, notably rising from 7.80% under the GWL 2 °C to 36.06% under the GWL 4 °C. Specifically, the annual temperature-related incidence rate for ischemic stroke is expected to increase significantly by 2065. Regions such as Taichung, Hsinchu, Yilan, and Taitung demonstrated pronounced changes in heat-related ischemic stroke incidence under the GWL 4 °C.

Conclusions: The findings emphasize the importance of addressing temperature-related stroke risks, particularly in regions projected to experience significant temperature increases. Effective mitigation strategies are crucial to reduce the impact of rising temperatures on stroke incidence and safeguard public health.

Background: There is no consensus on the cause and effect of systemic chronic inflammation (SCI) regarding chronic obstructive pulmonary disease (COPD). The impact of second-hand smoke (SHS) on COPD has reached inconsistent conclusions.

Methods: The China Kadoorie Biobank cohort was followed up from the 2004-08 baseline survey to 31 December 2018. Among the selected 445,523 participants in the final analysis, Cox and linear regressions were performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of tobacco exposure with COPD risk and baseline levels of log-transformed inflammatory factors [βs (95% CIs)], respectively.

Results: Participants were followed up for a median of 12.1 years and 11,825 incident COPD events were documented. Ever-smokers were associated with a higher risk of COPD than non-smokers with non-weekly SHS exposure. A younger age to start smoking, a greater amount of daily tobacco consumption, and deeper inhalation were associated with increased risk of COPD and correlated with elevated levels of plasma high-sensitivity C-reactive protein (hs-CRP, all P_trend < 0.001) even two years before COPD onset. Among former smokers, COPD risk declined with longer smoking cessation (P_trend < 0.001) and those quitting smoking for over ten years presented no difference in COPD risk and hs-CRP level from non-smokers [HR (95% CI) = 1.05 (0.89, 1.25), β (95% CI) = 0.17 (- 0.09, 0.43)]. Among non-smokers, weekly SHS exposure was associated with a slightly higher COPD risk [HR (95% CI) = 1.06 (1.01, 1.12)].

Conclusions: Incremental exposure to tobacco smoke was related to elevated SCI level before COPD onset, then an increase in COPD susceptibility. Quitting smoking as early as possible is suggested as a practical approach to reducing COPD risk in smokers. Given the high prevalence of both COPD and SHS exposure, the risk associated with SHS exposure deserves attention.

Background: The COVID-19 pandemic has brought unprecedented changes globally, significantly affecting public health sectors, including paediatric road trauma. This study aims to explore the changes in paediatric road trauma presentations and outcomes before and after the COVID-19 lockdown.

Methods: This retrospective study analysed paediatric trauma data from the Saudi TraumA Registry (STAR) from August 2017 to December 2022, comparing pre- and post-COVID-19 lockdown periods (August 2017-March 2020 and July 2020-December 2022, respectively). The study analysed demographic data, mechanism of injury, severity, ICU admissions, and mortality rates using multivariate logistic regression models.

Results: Out of 950 paediatric trauma cases analysed, there was an 44.2 [561/389 = 1.442] % increase in the number of cases post-lockdown. A significant shift was noted in the age group of 5-9 years, with cases increasing from post-lockdown. Head injuries were the most prevalent type of injury, with their proportion slightly increasing from 163 (20.5%) pre-lockdown to 248 (23.2%) post-lockdown. The ICU admission were consistent across both periods, while the definitive care mode of arrival post-lockdown showed a notable shift towards private or government ambulances.

Conclusion: Our study provides critical insights into the significant impact of the COVID-19 on paediatric road trauma. The observed increase in trauma cases post-pandemic, particularly among younger children and a notable rise in driver-related injuries among adolescents, underscores the profound effect of lockdown measures and subsequent societal changes on paediatric health. Efforts to reduce paediatric traffic injuries require collaboration among parents, educators, healthcare professionals, policymakers, and the community at large.