Journal of Epidemiology and Global Health最新文献

Background: In 2021, an Ebola virus disease (EVD) outbreak was declared in Guinea, linked to persistent virus from the 2014-2016 West Africa Epidemic. This paper analyzes factors associated with contact tracing reliability (defined as completion of a 21-day daily follow-up) during the 2021 outbreak, and transitively, provides recommendations for enhancing contact tracing reliability in future.

Methods: We conducted a descriptive and analytical cross-sectional study using multivariate regression analysis of contact tracing data from 1071 EVD contacts of 23 EVD cases (16 confirmed and 7 probable).

Results: Findings revealed statistically significant factors affecting contact tracing reliability. Unmarried contacts were 12.76× more likely to miss follow-up than those married (OR = 12.76; 95% CI [3.39-48.05]; p < 0.001). Rural-dwelling contacts had 99% lower odds of being missed during the 21-day follow-up, compared to those living in urban areas (OR = 0.01; 95% CI [0.00-0.02]; p < 0.01). Contacts who did not receive food donations were 3× more likely to be missed (OR = 3.09; 95% CI [1.68-5.65]; p < 0.001) compared to those who received them. Contacts in health areas with a single team were 8× more likely to be missed (OR = 8.16; 95% CI [5.57-11.96]; p < 0.01) than those in health areas with two or more teams (OR = 1.00; 95% CI [1.68-5.65]; p < 0.001). Unvaccinated contacts were 30.1× more likely to be missed compared to vaccinated contacts (OR = 30.1; 95% CI [5.12-176.83]; p < 0.001).

Conclusion: Findings suggest that contact tracing reliability can be significantly influenced by various demographic and organizational factors. Considering and understanding these factors-and where possible addressing them-may be crucial when designing and implementing contact tracing strategies during future outbreaks in low-resource settings.

Objectives: To evaluate literature from a 12-year period (2010-2021) on the antimicrobial resistance profile of Pseudomonas aeruginosa from the Arabian Gulf countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates).

Methods: An electronic literature search was conducted for articles on antimicrobial resistance in P. aeruginosa and associated phenotypes, covering the period of 1st January 2010 to 1st December 2021.

Results: Antimicrobial resistance in the Arabian Gulf was highest to meropenem (10.3-45.7%) and lowest to colistin (0.0-0.8%), among the agents tested. Annual data showed that ceftazidime resistance (Kuwait), piperacillin-tazobactam non-susceptibility (Qatar), and aztreonam, imipenem, and meropenem resistance (Saudi Arabia) increased by 12-17%. Multiple mechanisms of carbapenem resistance were identified and multiple clones were detected, including high-risk clones such as ST235. The most common carbapenemases detected were the VIM-type metallo-β-lactamases.

Conclusions: Among P. aeruginosa in the Arabian Gulf countries, resistance to meropenem was higher than to the other agents tested, and meropenem resistance increased in Saudi Arabia during the study period. Resistance to colistin, a classic antibiotic used to treat Pseudomonas spp. infections, remained low. The VIM-type β-lactamase genes were dominant. We recommend local and regional antimicrobial resistance surveillance programs to detect the emergence of resistance genes and to monitor antimicrobial resistance trends in P. aeruginosa.

Background: This study aimed to estimate the prevalence of achieving the secondary prevention targets recommended in the World Health Organization (WHO) guidelines for cardiovascular disease (CVD) in 38 low-income and middle-income countries (LMICs).

Methods: We pooled nationally representative cross-sectional surveys from 38 LMICs between 2013 and 2020. Treatment, metabolic and lifestyle targets were assessed for individuals with a self-reported history of CVD according to WHO's recommendations. Associations between the prevalence of guideline adherence and sociodemographic characteristics were assessed using multivariate Poisson regression models.

Results: The pooled sample included 126 106 participants, of whom 9821 (6.8% [95% CI 6.4-7.2]) reported a history of CVD. Overall, the prevalence of achieving treatment targets in patients with CVD was 22.7% (95% CI, 21.0-24.5%) for antihypertensive drugs, 19.6% (17.9-21.4%) for aspirin, and 13.6% (12.0-15.44%) for statins. The prevalence of achieving metabolic targets was 54.9% (52.5-57.3%) for BMI, 39.9% (37.7-42.2%) for blood pressure, 46.1% (43.6-48.6%) for total cholesterol, and 84.9% (83.1-86.5%) for fasting blood glucose. The prevalence of achieving lifestyle targets was 83.2% (81.5-84.7%) for not smoking, 83.1% (81.2-84.9%) for not drinking, 65.5% (63.1-67.7%) for sufficient physical activity and 16.2% (14.5-18.0%) for healthy diet. Only 6.1% (5.1-7.4%) achieved three treatment targets, 16.0% (14.3-17.9%) achieved four metabolic targets, and 6.9% (5.8-8.0%) achieved four lifestyle targets. Upper-middle income countries were better than low-income countries at achieving the treatment, non-drinking and dietary targets. Being younger and female were associated with poorer achievement of metabolic targets.

Conclusion: In LMICs, achieving the targets recommended in the guideline for treatment, metabolism and healthy lifestyles for patients with CVD is notably low. This highlights an urgent need for effective, systematic secondary prevention strategies to improve CVD management.

Objectives: Caring for children in low- and middle-income countries (LMIC) can be challenging. This review article aims to explore role of telemedicine in supporting pediatric care in LMIC.

Methodology: A narrative review of existing English and Spanish literature was conducted to assess role of telemedicine to support pediatric care in LMIC.

Results: Beside medical education and direct pediatric care, telemedicine can provide sub-specialties consultations without extra burden on families. Additionally, telemedicine can help in lowering under-5 mortality by supporting neonatal care, infectious illnesses, and non-communicable diseases (NCDs). Telemedicine can be a gate for universal coverage for all children at a lower cost. For over a decade, it has been implemented successfully and sustained in a few LMIC. However, challenges in implementing telemedicine are enormous. Still, opportunities arise by using simpler technology, low-width band internet, smartphones, instant messaging applications and solar energy. COVID-19 pandemic facilitated acceptance and applicability of telemedicine worldwide including LMIC. Nevertheless, governments must regulate telemedicine by issuing policies and ensuring employment of local experts when possible to meet local resources and cultural competency.

Conclusion: Telemedicine has proven successful in improving pediatrics care. Many LMIC should take advantage of this innovation to promote equity and access to high quality pediatric care.

Background: Genetic testing for persons with a heightened likelihood of harboring a germline mutation permits early identification and appropriate management. This study aimed to identify the proportion of breast cancer (BC) patients who were offered genetic testing and the prevalence of BRCA mutations among them. Additionally, we assessed the demographic and clinical features of BC patients in the Eastern Region of Saudi Arabia.

Materials and methods: Data from 2535 patients with BC were retrieved from the registry between 2017 and 2021. The data were analyzed and presented using univariate and bivariate statistics. Odds ratios and 95% confidence intervals using logistic regression analysis were computed to identify the predictors of BRCA testing.

Results: Patients with BC ranged in age from 18 to 103 years, and the mean age was 49.60 ± 12.14 years. BC was detected in men in 29 (1.1%) cases. Among diagnosed patients with BC, a total of 96 (3.7%) patients underwent testing for BRCA gene mutations. Of them, 36 (37.5%) patients had a BRCA gene mutation. The likelihood of undergoing BRCA testing was higher for those who were diagnosed with the condition before the age of 50, patients who were referred from private institutions, and patients with a history of previously diagnosed cancer. The likelihood of conducting BRCA testing was significantly lower among those with distant metastases.

Conclusion: The proportion of BRCA testing among BC patients was found to be relatively low. The development of a cost-effective, locally developed risk assessment tool that incorporates genetic counseling and testing for those with a familial predisposition to BC is imperative.

Background: The associations between mood disorders (anxiety and depression) and mild cognitive impairment (MCI) or Alzheimer's dementia (AD) remain unclear.

Methods: Data from the Australian Imaging, Biomarker & Lifestyle (AIBL) study were subjected to logistic regression to determine both cross-sectional and longitudinal associations between anxiety/depression and MCI/AD. Effect modification by selected covariates was analysed using the likelihood ratio test.

Results: Cross-sectional analysis was performed to explore the association between anxiety/depression and MCI/AD among 2,209 participants with a mean [SD] age of 72.3 [7.4] years, of whom 55.4% were female. After adjusting for confounding variables, we found a significant increase in the odds of AD among participants with two mood disorders (anxiety: OR 1.65 [95% CI 1.04-2.60]; depression: OR 1.73 [1.12-2.69]). Longitudinal analysis was conducted to explore the target associations among 1,379 participants with a mean age of 71.2 [6.6] years, of whom 56.3% were female. During a mean follow-up of 5.0 [4.2] years, 163 participants who developed MCI/AD (refer to as PRO) were identified. Only anxiety was associated with higher odds of PRO after adjusting for covariates (OR 1.56 [1.03-2.39]). However, after additional adjustment for depression, the association became insignificant. Additionally, age, sex, and marital status were identified as effect modifiers for the target associations.

Conclusion: Our study provides supportive evidence that anxiety and depression impact on the evolution of MCI/AD, which provides valuable epidemiological insights that can inform clinical practice, guiding clinicians in offering targeted dementia prevention and surveillance programs to the at-risk populations.

Background: Guidelines provide various recommendations for the use of proton pump inhibitors (PPI) to prevent upper gastrointestinal (UGI) bleeding in acute myocardial infarction (MI) treatment with dual antiplatelet therapy (DAPT). We evaluated the effects of PPIs in reducing the risk of severe UGI bleeding in patients with MI receiving DAPT.

Methods: This retrospective cohort study included patients admitted for acute MI between 2014 and 2018, based on a nationwide health claims database in Korea. Primary outcome was admission for severe UGI bleeding requiring transfusion within 1 year of MI diagnosis. A multivariable Cox regression model was used to calculate the association between PPI use and severe UGI bleeding risk.

Results: Of 100,556 patients with MI on DAPT (mean age, 63.7 years; 75.4% men), 37% were prescribed PPIs. Based on risk assessment for UGI bleeding, among 6,392 (6.4%) high-risk and 94,164 (93.6%) low-risk patients, 50.5% and 35.8% received PPIs, respectively. Overall, 0.5% of the patients experienced severe UGI bleeding within 1 year after MI. The use of PPI was associated with a reduced risk of severe UGI bleeding (hazard ratio [HR], 0.57; 95% confidence interval [CI], 0.47-0.70; P < 0.001). The benefits of PPIs were consistent in high-risk (HR, 0.71; 95% CI, 0.45-1.13; P = 0.147) and low-risk (HR, 0.54; 95% CI, 0.43-0.68; P < 0.001) patients (P for interaction = 0.481).

Conclusions: Among Korean patients with MI receiving DAPT, PPIs were underutilized, even among those at high risk of severe UGI bleeding. Nonetheless, PPI use reduced severe UGI bleeding in low- and high-risk groups.

Background: Insulin-mediated pathways plausibly explain the pathogenesis of colorectal cancer (CRC). The triglyceride-glucose index (TyG) is a surrogate of insulin resistance (IR), but its association with CRC in the Korean population has not been evaluated.

Methods: From the 2004-2013 Korean Genome and Epidemiology Study, 98,800 participants aged 40-69 years were followed through 2020. Data on CRC incidence were obtained from the Korean National Cancer Center registry. Cox regression models and restricted cubic splines were fitted to examine the association between the TyG; In [(triglycerides) × (fasting glucose)/2] and CRC incidence. Joint effects of modifiable lifestyle factors and TyG on CRC risk were also investigated.

Results: Median follow-up time was 10.6 years, and 699 CRC cases were observed. A unit-increment in TyG was associated with increased risk of CRC combined (hazard ratio, HR: 1.28, and 95% confidence interval, CI: 1.12-1.46), colon (1.29, 1.10-1.54), and rectal cancer (1.24, 1.01-1.52). Associations were dose-dependent, with linear associations observed for CRC and colon, but non-linear associations were observed for rectal cancer. A high TyG index (above 8.4) combined with overweight/obesity was linked to an increased risk of CRC (1.31, 1.07-1.61) and colon cancer (1.33, 1.03-1.72). When combined with low fruit and vegetable intake, the risks were higher for CRC (1.40, 1.12-1.74) and colon cancer (1.57, 1.18-2.09). Combined with high red meat consumption, the risks were elevated for CRC (1.32, 1.05-1.65) and colon cancer (1.52, 1.15-2.02).

Conclusions: A high TyG index was associated with a higher risk of colorectal cancer, and the risk was highest among participants with a high BMI, low fruit and vegetable intake, and high intake of red meat, suggesting a role of both insulin resistance and modifiable lifestyle in colorectal cancer development.

Background: Poor sleep quality is a global public health concern. This study aimed to identify the risk factors for sleep disorders and clarify their causal effects.

Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) and Mendelian randomization (MR)-Base databases. Baseline characteristics of individuals with and without sleep disorders were compared. A multivariate logistic regression analysis was performed to calculate the effects of each variable on sleep disorders. Causal effects of blood lead levels and hypertension on sleep disorders were assessed using MR analysis.

Results: In total, 3660 individuals were enrolled in the study. The prevalence of self-reported sleep disorders was 26.21%. Serum lead level, serum mercury level, serum retinol level, prevalence of hypertension, and daily vigorous work duration were significantly higher for those in the sleep disorders group than the control group. After adjusting for various covariates, the effects of serum lead and hypertension on sleep disorders were stable from logistic regression models 1-4. MR analysis showed that blood lead levels were causally related to the risk of sleep disorders (odds ratio (OR) = 1.09, 95% confidence interval (CI) 1.01-1.17, P = 0.030). There was no causal link between elevated blood pressure and sleep disorders (OR = 0.99, 95% CI 0.94-1.04, P = 0.757). Goodness-of-fit tests and sensitivity analyses were used to verify the reliability of the results.

Conclusions: Blood lead is positively and causally associated with an increased risk of sleep disorders. These findings provide a novel perspective regarding sleep protection. Taking effective measures to reduce lead exposure may significantly improve sleep health.

Objective: To measure the burden of the COVID-19 pandemic in 2020 at the subnational level by estimating excess mortality, defined as the increase in all-cause mortality relative to an expected baseline mortality level.

Methods: Statistical and demographic analyses of regional all-cause mortality data provided by the vital statistics systems of 21 European countries for 561 regions in Central and Western Europe. Life expectancy losses at ages 0 and 60 for males and females were estimated.

Results: We found evidence of a loss in life expectancy in 391 regions, whilst only three regions exhibit notable gains in life expectancy in 2020. For 12 regions, losses of life expectancy amounted to more than 2 years and three regions showed losses greater than 3 years. We highlight geographical clusters of high mortality in Northern Italy, Spain and Poland, whilst clusters of low mortality were found in Western France, Germany/Denmark and Norway/Sweden.

Conclusions: Regional differences of loss of life expectancy are impressive, ranging from a loss of more than 4 years to a gain of 8 months. These findings provide a strong rationale for regional analysis, as national estimates hide significant regional disparities.