Journal of Preventive Medicine and Public Health最新文献

Objectives: This study aimed to validate the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, identify infection risk factors among air passengers subject to a 14-day mandatory quarantine, and evaluate the accuracy of mass symptom-based screening criteria at an airport.

Methods: This retrospective cohort study analyzed data from 116 004 air passengers who entered Thailand through Suvarnabhumi Airport in Bangkok from April 2020 to September 2020. The incidence of SARS-CoV-2 infection, risk characteristics, and accuracy indices of symptom-based screening were calculated.

Results: The overall incidence of SARS-CoV-2 was 0.5%, or 540 infections per 100 000 air passengers. Identified risk factors included sex, nationality, continent of departure, on-arrival screening results, and month of travel. Positive screening results indicated a higher risk and positive likelihood ratio for SARS-CoV-2 infection. However, the on-arrival screening criteria demonstrated low sensitivity and area under the receiver operating characteristic curve.

Conclusions: The current study confirms previous findings that the risk of SARS-CoV-2 infection during air travel is low. However, this might result from strict pre-departure screening and the SARS-CoV-2 test requirement for arriving passengers. The symptom-based screening criteria used upon arrival showed a low probability of identifying positive cases, suggesting that incorporating additional criteria could help detect asymptomatic infections. The integrated screening and quarantine model proved effective in preventing the spread of the virus into local communities.

Objectives: Ambulatory patients with type 2 diabetes mellitus (T2DM) require special attention when being discharged from the hospital with anti-diabetes medication. This necessity stems primarily from the risk of adverse drug reactions, particularly hypoglycemia. However, this risk is significantly influenced by the patients' knowledge and behavior regarding their medication use. This study aimed to develop instrument to assess the risk of medication-related hypoglycemia in ambulatory T2DM patients by clinical pharmacists.

Methods: The study was conducted using an observational design that included multiple stages. These stages involved item development through focus group discussions (FGDs), content validation by clinical pharmacists, and criterion and construct validation by ambulatory T2DM patients using a cross-sectional approach.

Results: A total of 10 question items were developed for assessment by clinical pharmacists following FGDs and content validation. Criterion and construct validation identified 8 valid question items through multivariate analysis (p<0.05). The scoring system developed demonstrated a linear relationship between the score and the number of items at risk in the instrument (p<0.05, R²=0.988). Additionally, the instrument was named "Medication-related Hypoglycemia Risk Score Assessment Tools (HYPOGLYRISK)."

Conclusions: The findings of this study suggest that HYPOGLYRISK may serve as a useful tool for clinical pharmacists to evaluate the risk of medication-related hypoglycemia in ambulatory T2DM patients. Additionally, this instrument could assist clinical pharmacists in identifying priority patients and tailoring educational services to meet their specific goals and needs.

Objectives: This study examined the potential of a new analytical framework for the Korea Community Health Survey (KCHS) with classification criteria for the sub-national governmental level, the degree of urbanization including an urban-rural multimodal category, and population size as a more effective tool to address local health problems and deduce practical implications.

Methods: Retrospective survey data from 2023 KCHS were obtained. Frequency analyses were performed for self-rated good health status, current smoking status, and unmet medical needs as proxies for health status, as well as health behavior and healthcare utilization, utilizing individual weights to represent national community residents.

Results: We established a new classification of local governments into 7 types to facilitate regional comparisons. These local government types are presumably composed of populations showing statistically significant differences in demographic characteristics. There were evident differences in health status, health behavior, and healthcare utilization in comparisons of groups categorized by local government types.

Conclusions: This study suggests that regional disparities can be analyzed using a new typology of local governments. This practically effective approach could be used in decision-making for community-centered health projects in terms of community health planning. Future research should conduct analyses of KCHS data that use these 7 local government types to comprehensively reflect regional characteristics.

Objectives: The purpose of this study was to develop a valid and reliable instrument for assessing patients' behavior toward the risk of hypoglycemia through self-assessment. Insufficient education and supervision of type 2 diabetes mellitus (DM) outpatients by healthcare providers is a significant concern, affecting their behavior during the treatment process. Additionally, inappropriate behavior typically increases the risk of hypoglycemia. To mitigate this risk, several studies have recommended evaluating patients' behavior, necessitating the development of a new instrument.

Methods: The study procedures were conducted in 3 stages: instrument development (face and content validity, stage I), construct validity and reliability test (stage II), and criterion validity (stage III). Stage I involved 5 healthcare practitioners, including internal medicine doctors, nurses, dietitians, and pharmacists in hospitals and community health centers. Stage II included 20 respondents using a 1-shot test method. Stage III involved 237 type 2 DM outpatients at Central General Hospital (RSUP) in Jakarta, employing a cross-sectional design and consecutive sampling.

Results: The results indicated that the developed instrument was valid and reliable, comprising 9 domains (29 questions). These domains included behavior toward blood glucose monitoring, diet, physical activity, medication, assistance from healthcare providers, hypoglycemia management, self-care, family support, and insulin use. Furthermore, poor behavior was found to increase the risk of hypoglycemia by 2.36 times.

Conclusions: Based on these results, the developed instrument could be effectively used to evaluate behavior toward hypoglycemia among type 2 DM outpatients, confirming its validity and reliability.

Objectives: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on admission rates and in-hospital mortality among patients with ischemic and hemorrhagic stroke.

Methods: We constructed a dataset detailing the monthly hospitalizations and mortality rates of inpatients with stroke from January 2017 to December 2021. Employing an interrupted time series analysis, we explored the impact of COVID-19 on hospitalizations and 30-day in-hospital mortality among stroke patients.

Results: The number of ischemic stroke admissions decreased by 18.5%, from 5335 to 4348, immediately following the COVID-19 outbreak (p<0.001). The in-hospital mortality rate for ischemic stroke increased slightly from 3.3% to 3.4% immediately after the outbreak, although it showed a decreasing trend over time. The number of hemorrhagic stroke admissions fell by 7.5%, from 2014 to 1864, immediately following the COVID-19 outbreak. The 30-day in-hospital mortality rate for hemorrhagic stroke initially decreased from 12.9% to 12.7%, but subsequently showed an increasing trend.

Conclusions: We confirmed that COVID-19 impacted both the admission and death rates of stroke patients. The admission rate for both ischemic and hemorrhagic strokes decreased, while in-hospital mortality increased. Specifically, in-hospital mortality from ischemic stroke rose initially after the outbreak before stabilizing. Additionally, our findings indicate variable effects based on sex, age, and socioeconomic status, suggesting that certain groups may be more susceptible. This underscores the need to identify and support vulnerable populations to mitigate adverse health outcomes.

Objectives: Statins are essential in the prevention of cardiovascular disease; however, their association with type 2 diabetes mellitus (T2DM) risk is concerning. We examined whether genetic susceptibility to T2DM modifies the association between regular statin use and T2DM risk.

Methods: This study included 447 176 individuals from the UK Biobank without baseline diabetes or major cardiovascular disease. Statin use was recorded at baseline, and T2DM incidence was determined using clinical records. Polygenic risk scores (PRS) for T2DM risk were provided by the UK Biobank. Using propensity scores adjusted for age, sex, body mass index, and comorbidities, 14 831 statin users were matched with 37 060 non-users. Cox proportional hazards models were used to estimate the interaction effect of statin use and PRS on T2DM incidence, adjusting for key confounders.

Results: In the propensity-matched cohort, 3675 of 51 891 participants developed T2DM over a mean follow-up period of 13.7 years. Within the top 5% of the PRS distribution, per 1000 person-years, the incidence of T2DM was 15.42 for statin users versus 12.18 for non-users. Among the lowest 5%, the incidence was 1.90 for statin users and 1.65 for non-users. Based on the Cox proportional hazards model, regular statin use was associated with a 1.24-fold increased T2DM risk (95% confidence interval [CI], 1.15 to 1.33). Furthermore, PRS exhibited a significant multiplicative interaction with regular statin use (odds ratio, 1.10; 95% CI, 1.02 to 1.19).

Conclusions: PRS may help identify individuals particularly susceptible to the diabetogenic effects of statins, providing a potential path for personalized cardiovascular disease management.

Objectives: This study was performed to evaluate the utilization patterns of acid suppressants following the withdrawal of ranitidine in Korea.

Methods: Health Insurance Review & Assessment Service (HIRA) data from January 2016 to May 2023 were utilized to assess the usage of histamine H2 receptor antagonists (H2RAs) and proton pump inhibitors (PPIs) for acid-related diseases. Drug utilization was calculated for each agent based on the defined daily dose (DDD). To evaluate changes in utilization following the ranitidine recall, an interrupted time series analysis was conducted using segmented linear regression and an autoregressive integrated moving average model.

Results: Before the withdrawal of ranitidine, the DDD per 100 000 inhabitants per day was increasing by 6.9 (95% confidence interval [CI], 4.7 to 9.0) for H2RAs and by 19.3 (95% CI, 16.9 to 21.8) for PPIs each month. After the recall, H2RA utilization immediately declined by -1041.7 (95% CI, -1115.8 to -967.7), followed by a monthly increase of 6.6 (95% CI, 3.7 to 9.6) above the previous trend. PPI utilization temporarily surged by 235.2 (95% CI, 149.1 to 321.3), then displayed a monthly increase of 4.1 (95% CI, 0.7 to 7.6) on top of the pre-recall trend. Among PPIs, esomeprazole and rabeprazole demonstrated notable increases, representing the most commonly used acid suppressants in 2023.

Conclusions: PPI usage rose prominently following the withdrawal of ranitidine from the market. Considering the potential adverse effects of PPIs, further research is necessary to evaluate the public health implications of shifts in the utilization of acid suppressants.

Since the detonation of the first atomic bomb during World War II, geopolitical issues and armed conflicts have reminded us of the threat posed by nuclear weapons in the short, medium, and long term. The potential consequences include millions of deaths and severe injuries from blast, heat, and acute ionizing radiation. Whatever the country, in the post-acute stage of a nuclear attack, the first challenge for health and rescue personnel will be gaining access to affected populations amidst destroyed infrastructure, hazardous radioactivity, and limited health facilities and medical supplies. Subsequently, the focus will shift to providing timely and appropriate treatment for survivors, addressing environmental damage, and combating malnutrition. Beyond the immediate human toll, the destruction of city infrastructure and the loss of centuries of cultural heritage are also at stake. Governments and health systems must prepare for these scenarios, although any medical or mitigation response may prove inadequate to halt the devastating impact of a failed disarmament or nuclear non-proliferation treaty. Scientists should raise awareness about the dire consequences of nuclear warfare and the realities of a post-nuclear era.

Objective: Limited access to high-quality green spaces could contribute to growing rates of chronic diseases and unhealthy behaviors. Public parks provide numerous benefits for population well-being. However, past research has shown mixed results regarding the association between proximal parks and residents' physical and mental health. This study examined the relationship between diverse elements of park access and quality and multiple health outcomes.

Methods: Seventy-three unique parks within 70 census tracts in 4 cities in South Carolina were analyzed. Data about 7 aspects of park quality (transportation access, facility availability, facility quality, amenity availability, park aesthetics, park quality concerns, neighborhood quality concerns) were collected via on-site observations using the Community Park Audit Tool. Health data for each tract (obesity, no leisure time physical activity, high blood pressure, coronary heart disease, high cholesterol, diabetes, depression, poor mental health) were collected from the CDC PLACES dataset. Linear regression analyses examined the association between 10 park access and quality metrics and 8 health metrics, controlling for sociodemographic characteristics.

Results: All associations were in the unexpected direction except 1 relationship involving mental health. Specifically, positive associations were found between the number of parks and obesity, the number of parks and no leisure time physical activity, transportation access and obesity, and transportation access and high blood pressure. As concerns about neighborhood quality increased, poor mental health status worsened.

Conclusions: This study provides valuable information for public health professionals and researchers. Further research is needed to expand on and elucidate these findings.

Objective: The COVID-19 pandemic led to various intensities of lockdowns, affecting lifestyles globally. This study investigates the impact of partial versus total lockdown on adult physical activity and sedentary behavior.

Methods: A cross-sectional online survey was conducted from April to October 2020, with 493 participants included in the analysis.

Results: The analysis revealed no significant differences in total physical activity or total sitting time between partial and total lockdown scenarios. However, moderate physical activity significantly decreased during total lockdowns, with more pronounced reductions among females than males. Notably, a positive correlation was found between household area and moderate physical activity, suggesting that larger living spaces may encourage more physical activity. A negative correlation was observed between sitting time and moderate physical activity during both types of lockdown.

Conclusions: Total lockdown conditions were associated with a significant decrease in moderate physical activity, highlighting gender disparities in physical activity responses. Living space size emerged as a crucial factor in maintaining physical activity levels during restricted conditions. This study emphasizes the need to consider environmental and demographic factors in public health strategies during prolonged periods of restricted movement.