Osong Public Health and Research Perspectives

Original Articles

Individual and contextual factors associated with measles infection in Malaysia: a multilevel analysis: Mohd Rujhan Hadfi Mat Daud, Nor Azwany Yaacob, Wan Nor Arifin, Jamiatul Aida Md Sani, Wan Abdul Hannan Wan Ibadullah; Received June 4, 2024 Accepted July 9, 2024 Published online August 21, 2024; DOI: https://doi.org/10.24171/j.phrp.2024.0156 [Epub ahead of print]

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Abstract PDF: Objectives
Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions.
Methods
This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, PM2.5 levels, relative humidity, and temperature, to determine their impact on measles infection risk.
Results
Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42–141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16–2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants.
Conclusion
This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Identifying risk factors for COVID-19 cluster infections in schools in the Republic of Korea: a case-control study: Jihyun Choi, Seongju Choi, Baigu Lee, Young-Joon Park, Sang Eun Lee; Osong Public Health Res Perspect. 2024;15(4):375-382. Published online July 11, 2024; DOI: https://doi.org/10.24171/j.phrp.2023.0351

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Graphical Abstract Abstract PDF: Objectives
No study has yet analyzed risk factors to determine whether students with confirmed coronavirus disease 2019 (COVID-19) infections may affect students at neighboring schools. Therefore, this study aimed to determine risk factors for COVID-19 transmission among schools within a community in the Republic of Korea.
Methods
An epidemiological investigation was conducted among 696 students and school staff members at 3 schools where COVID-19 clusters began on October 15, 2021. Interviews, visit history surveys, a facility risk assessment, and closed-circuit television were used to identify risk factors. The statistical significance of risk factors was also evaluated.
Results
We confirmed 129 cases (18.5%) among the individuals exposed to COVID-19 at the 3 schools, many of whom had a history of visiting the same multi-use facilities. The odds ratio of having visited multi-use facilities such as karaoke rooms was 1.90 (95% confidence interval, 1.03–3.50); the number of visits to a karaoke room and the visit durations were significantly higher among confirmed cases than non-confirmed cases (p=0.02 and p=0.03, respectively).
Conclusion
Having a history of visiting karaoke rooms often and spending a long time there were risk factors for COVID-19 infection and inter-school transmission. Thus, it is necessary to investigate the status of multi-use facilities frequently visited by adolescents and consider incorporating them into the scope of school quarantine to prevent infectious diseases at schools in a community.

The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study: Siti Isfandari, Betty Roosihermiatie, Sulistyowati Tuminah, Laurentia Konadi Mihardja; Osong Public Health Res Perspect. 2023;14(5):368-378. Published online October 18, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0144; Correction in: Osong Public Health Res Perspect 2023;14(6):530

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Objectives
The global prevalence of psychiatric disturbances is rising, detrimentally affecting the quality of care and treatment outcomes for individuals, particularly those with diabetes.This study investigated the association of risk factors for psychiatric disturbances among productive-age patients with diabetes (ages 30−59 years), considering sociodemographic characteristics and co-existing diseases. The risk factors considered included sociodemographic factors (e.g., residence, age, sex, marital status, education, and occupation) and co-existing diseases (e.g., hypertension, heart disease, stroke, renal failure, rheumatism, asthma, and cancer). Methods: This cross-sectional study utilized data from the 2018 Indonesian National Health Survey (Riskesdas). The study population comprised respondents aged between 30 and 59 years who had diabetes and had completed the 20-question self-reporting questionnaire (SRQ-20). After the exclusion of incomplete SRQ-20 data, the sample included 8,917 respondents. Data were analyzed using logistic regression. Results: Approximately 18.29% of individuals with diabetes displayed symptoms indicative of psychiatric disturbances. After adjusting for sociodemographic factors such as age, sex, education level, occupation, marital status, and place of residence, patients with diabetes who had co-existing conditions such as hypertension, heart diseases, rheumatic disorders, asthma, or cancer had a higher risk for developing psychiatric disturbances than those with diabetes alone (adjusted odds ratio, 6.67; 95% confidence interval, 4.481−9.928; p<0.001). Conclusion: The elevated risk of psychiatric disturbances among patients with diabetes who had comorbidities underscores the importance of addressing mental health issues in the management of diabetes, especially in patients with concurrent disease conditions.

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Correction to “The risk associated with psychiatric disturbances in patients with diabetes in Indonesia (2018): a cross-sectional observational study” [Osong Public Health Res Perspect 2023;14(5):368–78]
Siti Isfandari, Betty Roosihermiatie, Sulistyowati Tuminah, Laurentia Konadi Mihardja
Osong Public Health and Research Perspectives.2023; 14(6): 530. CrossRef

Household secondary attack rates and risk factors during periods of SARS-CoV-2 Delta and Omicron variant predominance in the Republic of Korea: Jin Lee, Mijeong Ko, Seontae Kim, Dosang Lim, Gemma Park, Sang-Eun Lee; Osong Public Health Res Perspect. 2023;14(4):263-271. Published online August 11, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0133

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Graphical Abstract Abstract PDF: Objectives
The household secondary attack rate (SAR) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an important indicator for community transmission. This study aimed to characterize transmission by comparing household SARs and identifying risk factors during the periods of Delta and Omicron variant predominance in Republic of Korea.
Methods
We defined the period of Delta variant predominance (Delta period) as July 25, 2021 to January 15, 2022, and the period of Omicron variant predominance (Omicron period) as February 7 to September 3, 2022. The number of index cases included was 214,229 for the Delta period and 5,521,393 for the Omicron period. To identify the household SARs and risk factors for each period, logistic regression was performed to determine the adjusted odds ratio (aOR).
Results
The SAR was 35.2% for the Delta period and 43.1% for the Omicron period. The aOR of infection was higher in 2 groups, those aged 0 to 18 years and ≥75 years, compared to those aged 19 to 49 years. Unvaccinated individuals (vs. vaccinated individuals) and individuals experiencing initial infection (vs. individuals experiencing a second or third infection) had an increased risk of infection with SARS-CoV-2.
Conclusion
This study analyzed the household SARs and risk factors. We hope that the results can help develop age-specific immunization plans and responses to reduce the SAR in preparation for emerging infectious diseases or potential new variants of SARS-CoV-2.

Risk factors for transmission in a COVID-19 cluster infection in a high school in the Republic of Korea: Jin-Hwan Jeon, Su Jin Kang, Se-Jin Jeong, Hyeon-Cheol Jang, Young-Joon Park, Sang-Eun Lee; Osong Public Health Res Perspect. 2023;14(4):252-262. Published online July 27, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0125

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Graphical Abstract Abstract PDF

Objectives
This study aimed to examine the scale, characteristics, risk factors, and modes of transmission in a coronavirus disease 2019 (COVID-19) outbreak at a high school in Seoul, Republic of Korea.
Methods
An epidemiological survey was conducted of 1,118 confirmed cases and close contacts from a COVID-19 outbreak at an educational facility starting on May 31, 2021. In-depth interviews, online questionnaires, flow evaluations, and CCTV analyses were used to devise infection prevention measures. Behavioral and spatial risk factors were identified, and statistical significance was tested.
Results
Among 3rd-year students, there were 33 confirmed COVID-19 cases (9.6%). Students who used a study room in the annex building showed a statistically significant 4.3-fold elevation in their relative risk for infection compared to those who did not use the study room. Moreover, CCTV facial recognition analysis confirmed that 17.8% of 3rd-year students did not wear masks and had the lowest percentage of mask-wearers by grade. The air epidemiological survey conducted in the study room in the annex, which met the 3 criteria for a closed space, confirmed that there was only 10% natural ventilation due to the poor ventilation system.
Conclusion
To prevent and manage the spread of COVID-19 in educational facilities, advance measures that consider the size, operation, and resources of each school are crucial. In addition, various survey methodologies should be used in future studies to quickly analyze a wider range of data that can inform an evidence-based quarantine response.

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Detection of a cluster of Omicron's BA.4 sublineage in Northern Senegal and identification of the first XAS recombinant variant in Senegal
Martin Faye, Modeste Name Faye, Babacar Ndiaye, Moussa Moïse Diagne, Safietou Sankhe, Ndeye Marième Top, Amadou Diallo, Cheikh Loucoubar, Ndongo Dia, Amadou Alpha Sall, Ousmane Faye
Virus Research.2024; 339: 199259. CrossRef

Results of contact tracing for SARS-CoV-2 Omicron sub-lineages (BA.4, BA.5, BA.2.75) and the household secondary attack risk: Mi Yu, Sang-Eun Lee, Hye Young Lee, Hye-jin Kim, Yeong-Jun Song, Jian Jeong, Ae Kyung Park, Il-Hwan Kim, Eun-jin Kim, Young-Joon Park; Osong Public Health Res Perspect. 2023;14(3):173-179. Published online June 22, 2023; DOI: https://doi.org/10.24171/j.phrp.2022.0285

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Graphical Abstract Abstract PDF

Objectives
This study aimed to assess the contact tracing outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron sub-lineages BA.4, BA.5, and BA.2.75 within Republic of Korea, and to generate foundational data for responding to future novel variants.
Methods
We conducted investigations and contact tracing for 79 confirmed BA.4 cases, 396 confirmed BA.5 cases, and 152 confirmed BA.2.75 cases. These cases were identified through random sampling of both domestically confirmed and imported cases, with the goal of evaluating the pattern of occurrence and transmissibility.
Results
We detected 79 instances of Omicron sub-lineage BA.4 across a span of 46 days, 396 instances of Omicron sub-lineage BA.5 in 46 days, and 152 instances of Omicron sub-lineage BA.2.75 over 62 days. One patient with severe illness was confirmed among the BA.5 cases; however, there were no reports of severe illness in the confirmed BA.4 and BA.2.75 cases. The secondary attack risk among household contacts were 19.6% for BA.4, 27.8% for BA.5, and 24.3% for BA.2.75. No statistically significant difference was found between the Omicron sub-lineages.
Conclusion
BA.2.75 did not demonstrate a higher tendency for transmissibility, disease severity, or secondary attack risk within households when compared to BA.4 and BA.5. We will continue to monitor major SARS-CoV-2 variants, and we plan to enhance the disease control and response systems.

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Replication kinetics and infectivity of SARS-CoV-2 Omicron variant sublineages recovered in the Republic of Korea
Jeong-Min Kim, Dongju Kim, Jee Eun Rhee, Cheon Kwon Yoo, Eun-Jin Kim
Osong Public Health and Research Perspectives.2024; 15(3): 260. CrossRef

Risk factors associated with death due to severe fever with thrombocytopenia syndrome in hospitalized Korean patients (2018–2022): Jia Kim, Hyo-jeong Hong, Ji-hye Hwang, Na-Ri Shin, Kyungwon Hwang; Osong Public Health Res Perspect. 2023;14(3):151-163. Published online June 8, 2023; DOI: https://doi.org/10.24171/j.phrp.2023.0048

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Objectives
Severe fever with thrombocytopenia syndrome (SFTS) has no vaccine or treatment and an extremely high fatality rate. We aimed to analyze and evaluate the risk factors for death associated with SFTS.
Methods
Among reports from 2018 to 2022, we compared and analyzed 1,034 inpatients aged 18 years or older with laboratory-confirmed SFTS who underwent complete epidemiological investigations.
Results
Most of the inpatients with SFTS were aged 50 years or older (average age, 67.6 years). The median time from symptom onset to death was 9 days, and the average case fatality rate was 18.5%. Risk factors for death included age of 70 years or older (odds ratio [OR], 4.82); agriculture-related occupation (OR, 2.01); underlying disease (OR, 7.20); delayed diagnosis (OR, 1.28 per day); decreased level of consciousness (OR, 5.53); fever/chills (OR, 20.52); prolonged activated partial thromboplastin time (OR, 4.19); and elevated levels of aspartate aminotransferase (OR, 2.91), blood urea nitrogen (OR, 2.62), and creatine (OR, 3.21).
Conclusion
The risk factors for death in patients with SFTS were old age; agriculture-related occupation; underlying disease; delayed clinical suspicion; fever/chills; decreased level of consciousness; and elevated activated partial thromboplastin time, aspartate aminotransferase, blood urea nitrogen, and creatine levels.

Citations

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Deciphering the evolutionary landscape of severe fever with thrombocytopenia syndrome virus across East Asia
Dongbin Park, Kwan Woo Kim, Young-Il Kim, Mark Anthony B Casel, Hyunwoo Jang, Woohyun Kwon, Kanghee Kim, Se-Mi Kim, Monford Paul Abishek N, Eun-Ha Kim, Hobin Jang, Suhee Hwang, Seok-Min Yun, Joo-Yeon Lee, Hye Won Jeong, Su-Jin Park, Young Ki Choi
Virus Evolution.2024;[Epub] CrossRef
Acute kidney injury as a prognostic marker in severe fever with thrombocytopenia syndrome
Jin Mi Lee, Hae Lee Kim, Myoung-nam Lim, Changhyup Kim, Yeon Ju La, Yong Duk Jeon, Won Sup Oh, Seongmin Son, Sunhwa Lee, Hyunjeong Baek, Daniel Duck-Jin Hwang, Ji In Park
Scientific Reports.2024;[Epub] CrossRef

Risk factors for deaths associated with COVID-19 according to the cause of death classification in Republic of Korea: Na-Young Kim, Seong-Sun Kim, Hyun Ju Lee, Dong Hwi Kim, Boyeong Ryu, Eunjeong Shin, Donghyok Kwon; Osong Public Health Res Perspect. 2023;14(2):89-99. Published online April 18, 2023; DOI: https://doi.org/10.24171/j.phrp.2022.0312

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Graphical Abstract Abstract PDF: Objectives
This study aimed to classify coronavirus disease 2019 (COVID-19)-related deaths according to whether COVID-19 was listed as the cause of death, and to investigate the differences in demographic characteristics and risk factors for COVID-19 death classifications.
Methods
A total of 5,625 deaths in South Korea among patients with confirmed COVID-19 from January 20, 2020 to December 31, 2021 were selected. Excluding false reports and unnatural deaths, 5,597 deaths were analyzed. Based on death report data, deaths were classified according to whether the cause of death was listed as COVID-19 (CD) or not (NCD). The epidemiological characteristics and causes of deaths were investigated using descriptive, univariate, and multivariate statistical analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to analyze the risk factors.
Results
The case fatality ratio was 0.89% and increased with age. Additionally, 96.4% of the subjects had an underlying disease, and 53.4% died in winter. The proportion of NCDs was 9.3%, of whom 19.1% died at home and 39.0% were confirmed to have COVID-19 after death. Malignant neoplasms (102/416 vs. 637/4,442; OR, 1.71; 95% CI, 1.36−2.16; p<0.001) were significantly associated with NCD.
Conclusion
This is the first study to analyze risk factors by cause of death using COVID-19 death report data in South Korea. These results are expected to be used as evidence for establishing a death monitoring system that can collect timely information in a new infectious disease pandemic.

The role of risk perception, risk communication, and demographic factors in COVID-19 preventive behaviors: an online survey in Iran: Mansour Rezaei, Nader Rajabi Gilan, Ali Almasi, Mehdi Khezeli, Fatemeh Jamshidi Nazar, Zahra Jorjoran Shushtari, Yahya Salimi, Farid Najafi, Neda Sarabi, Shahram Saeidi, Saeid Saeidi; Osong Public Health Res Perspect. 2022;13(4):282-289. Published online August 31, 2022; DOI: https://doi.org/10.24171/j.phrp.2021.0345

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Abstract PDF

Objectives
This study investigated preventive behaviors toward coronavirus disease 2019 (COVID-19) and related factors in a Kurdish Iranian sample.
Methods
This online survey was conducted among the population aged 18 and above in Kermanshah Province, in western Iran, in April 2020. Samples were invited and recruited through social media. Data were collected using a questionnaire consisting of 4 sections (questions on demographic variables, risk perception, risk communication, and COVID-19 preventive behaviors) and analyzed using Stata ver. 8.
Results
The Pearson correlation test showed that risk communication was significantly correlated with COVID-19 preventive behaviors (r=0.320, p<0.01). In the final model, where the explanatory power increased with the entry of the risk communication variable, the variables explained a total of 14% of variance in COVID-19 preventive behaviors. Sex (β=−0.482), risk perception (β=0.047), and risk communication (β=0.662) were significant determinants.
Conclusion
Risk communication and risk perception related to COVID-19, as well as being a woman, were determinants of COVID-19 preventive behaviors.

Citations

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Predisposing factors of using cosmetics in Iranian female students: application of prototype willingness model
Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fatemeh Ahmadi, Masoomeh Kazemzadeh, Nadia Sedri
Frontiers in Psychology.2024;[Epub] CrossRef
Utilizing social media for community risk communication in megacities: analysing the impact of WeChat group information interaction and perception on communication satisfaction during the COVID-19 pandemic in Shanghai
Yasai Chen, Yiru Chen, Shan Yu, Shuni Yu
BMC Public Health.2024;[Epub] CrossRef
The strongest predictors of compliance with health protocols among marketers and guilds based on the transtheoretical model
Shandiz Moslehi, Asghar Tavan, Sajjad Narimani, Fardin shahbazzadeh, Nadia Sedri, Sama Sabahi
BMC Public Health.2024;[Epub] CrossRef
Adaptive measures to deal with the next pandemic caused by climate change in at-risk groups
Laleh Hassani, Reihaneh Taheri Kondar, Sajjad Narimani, Amin Ghanbarnejad
BMC Psychiatry.2024;[Epub] CrossRef
Understanding Australian Government Risk Communication Early in the COVID-19 Pandemic: Sociodemographics, Risk Attitudes and Media Consumption
Yiyun Shou, Louise M. Farrer, Amelia Gulliver, Eryn Newman, Philip J. Batterham, Michael Smithson
Journal of Health Communication.2023; 28(4): 254. CrossRef
Risk perception and avoidance of preventive behavior on the COVID‐19 among cancer patients
Mehdi Khezeli, Asghar Tavan, Sajjad Narimani, Vahideh Hoseini, Elham Zare Hosseinzadeh, Parisa Motamedi
Health Science Reports.2023;[Epub] CrossRef
The Role of Risk Communication in Shaping Health-Protective Behavior Amid the COVID-19 Pandemic in Thailand
Suphunnika Termmee, Bing Wang
Social Sciences.2023; 12(10): 551. CrossRef

Characteristics of COVID-19 outbreaks and risk factors for transmission at an army training center in South Korea from June to August 2021: U Jin Cho, Seongjin Wang, Seonju Yi, Yeon Hwa Choi, Eun-Young Kim, Jin A Kim, Sanghwan Bae, Jungyeon Yu, Jangkyu Choi, Young-Joon Park; Osong Public Health Res Perspect. 2022;13(4):263-272. Published online July 27, 2022; DOI: https://doi.org/10.24171/j.phrp.2022.0149

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Abstract PDF

Objectives
It is crucial to establish the characteristics of coronavirus disease 2019 (COVID-19) outbreaks at army training centers to develop preventive measures. Therefore, this study aimed to determine the COVID-19 transmission patterns and risk factors in a sequence of outbreaks at an army training center from June to August 2021.
Methods
This study included 1,324 trainees at an army training center where outbreaks occurred from June to August 2021. The outbreak was qualitatively analyzed according to the period, attack rate, demographic characteristics, vaccination history, and living areas. An aerodynamic experiment was performed to evaluate aerosol transmission in living areas.
Results
Three outbreaks occurred at the army training center from June to August 2021. The first, second, and third outbreaks lasted for 32, 17, and 24 days, and the attack rates were 12.8%, 18.1%, and 8.9%, respectively. Confirmed cases were distributed in all age groups. Recruits and the unvaccinated were at higher risk for COVID-19. The aerodynamic experiment verified the possibility of aerosol transmission within the same living area.
Conclusion
COVID-19 transmission at army training centers should be minimized through quarantine and post-admission testing during the latency period as part of integrated measures that include facility ventilation, vaccination, indoor mask-wearing, and social distancing.

Citations

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Socioecological Model-based Factors Influencing Respiratory Infection Prevention Behaviors among Soldiers in an Army Training Center
Eunbin Jeong, Sookyung Hyun
Journal of Korean Public Health Nursing.2024; 38(2): 176. CrossRef
COVID-19 outbreak in a religious village community in Republic of Korea and risk factors for transmission
Jiae Shim, Eunju Lee, Eunyoung Kim, Yeonhwa Choi, Giseok Kang, Bryan Inho Kim
Osong Public Health and Research Perspectives.2023; 14(2): 110. CrossRef
Epidemiological Characteristics of a COVID-19 Outbreak in a Psychiatric Hospital in Chung-buk
Se-Hyuk Jang, Young-Joon Park, Ji-Joo Lee, Woo-Jin Jung
Healthcare.2023; 11(16): 2332. CrossRef

Analysis of risk factors affecting suicidal ideation in South Korea by life cycle stage: Ji-Young Hwang, Il-Su Park; Osong Public Health Res Perspect. 2021;12(5):314-323. Published online October 26, 2021; DOI: https://doi.org/10.24171/j.phrp.2021.0208

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Abstract PDF

Objectives
This study analyzed risk factors for suicidal ideation in South Koreans from a life cycle perspective.
Methods
A secondary analysis was conducted of data collected in 2015 as part of the 6th Korea National Health and Nutrition Examination Survey (KNHANES). The participants comprised 5,935 individuals aged 12 years or older. The statistical analysis reflected the complex sampling design of the KNHANES, and the Rao-Scott chi-square test and multiple logistic regression analysis were performed.
Results
The prevalence of suicidal ideation was 5.7% in adolescents, 3.7% in young adults, 5.4% in middle-aged adults, and 7.0% in older adults. Depression and stress were risk factors in every stage of the life cycle. In those aged 12 to 19 years, activity restrictions were significantly associated with suicidal ideation. Education and subjective health status were risk factors in adults aged 20 to 39 years, and education, activity restrictions, and quality of life were the major risk factors in those aged 40 to 64 years. For adults 65 years of age or older, the risk of suicidal ideation was higher among those with inappropriate sleep time.
Conclusion
The risk factors for suicidal ideation were found to be different across stages of the life cycle. This suggests a need for individualized suicide prevention plans and specific government policies that reflect the characteristics of each life cycle stage.

Citations

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Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012–2020)
Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
Psychiatry Research.2024; 333: 115731. CrossRef
Prevalence and incidence of suicide, suicidal ideation and self-harm in caregivers of cancer patients: A systematic review and meta-analysis
Chen Ee Low, Sean Loke, Sounak Rana, Ben Sim, Cyrus Su Hui Ho
General Hospital Psychiatry.2024; 90: 35. CrossRef
Psychological resilience and suicidality in the general population: A cross-sectional study based on data from the National Mental Health Survey of Korea 2021
Seung-Hoon Lee, Junhyung Kim, Changsu Han
Journal of Affective Disorders.2024; 363: 15. CrossRef
Risk factors of passive suicidal ideation among outpatients in traditional medicine clinics: The case of Korean medicine in South Korea
Ilsu Park, Tae-Hyeon Lee, Chan-Young Kwon
Heliyon.2024; 10(17): e37181. CrossRef
Alcohol Consumption and Quality of Life in Middle-aged Men
Jeong-Sook Lee
International Journal of High Risk Behaviors and A.2023;[Epub] CrossRef
Factors Related to Suicidal Ideation by Gender and Age Group in Korean Adults
Eun Young Kim, Yong Whi Jeong, Jihye Lim, Dae Ryong Kang
Journal of Korean Medical Science.2023;[Epub] CrossRef
Association between Sleep Duration and Symptoms of Depression Aged between 18 and 49: The Korea National Health and Nutrition Examination Survey (KNHANES Ⅶ) from 2016 to 2018
Sung-Yong Choi, Ji-Eun Han, Jiae Choi, Minjung Park, Soo-Hyun Sung, Angela Dong-Min Sung
Healthcare.2022; 10(11): 2324. CrossRef

Sex differences in the relationship between depression and cardiovascular disease risk: a nationwide study in Korea: Seol-bin Kim, Ihn Sook Jeong; Osong Public Health Res Perspect. 2021;12(2):105-114. Published online April 29, 2021; DOI: https://doi.org/10.24171/j.phrp.2021.12.2.08

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Objectives
This study aimed to identify sex differences in the association between depression and the risk of developing cardiovascular disease (CVD).
Methods
A secondary analysis was conducted of data from the fifth to seventh waves (2010−2018) of the Korea National Health and Nutrition Examination Survey. The participants were adults aged 30−74 years who had no diagnosis of CVD. The CVD risk was calculated using the Framingham Risk Score algorithm. Multiple linear regression analysis was conducted to identify the association between depression and CVD risk using a complex sample design.
Results
The mean CVD risk was higher in males and females with current depression (14.72% vs. 6.35%, respectively) than in males without current depression (11.67% and 4.42%, respectively). Current depression showed a significant association with CVD risk after controlling for only health-related characteristics, but the significance disappeared in both males and females when demographic characteristics were additionally controlled.
Conclusion
The presence of depression was not associated with CVD risk regardless of sex after controlling for confounding factors. Further studies are recommended to investigate the relationship between depression and CVD risk in a larger sample of both males and females with depression.

Citations

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Sex Differences in the Association Between Depression and Incident Cardiovascular Disease
Keitaro Senoo, Hidehiro Kaneko, Kensuke Ueno, Yuta Suzuki, Akira Okada, Katsuhito Fujiu, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita, Kentaro Kamiya, Junya Ako, Koichi Node, Hideo Yasunaga, Issei Komuro
JACC: Asia.2024; 4(4): 279. CrossRef
Sex Differences in the Association of Depression Symptoms and Cardiovascular Disease in Adults in the United States
Bhaskar Thakur, Chance Strenth, Elizabeth Mayfield Arnold, Frank David Schneider
American Journal of Health Promotion.2024; 38(8): 1199. CrossRef

Risk Assessment Program of Highly Pathogenic Avian Influenza with Deep Learning Algorithm: Hachung Yoon, Ah-Reum Jang, Chungsik Jung, Hunseok Ko, Kwang-Nyeong Lee, Eunesub Lee; Osong Public Health Res Perspect. 2020;11(4):239-244. Published online August 31, 2020; DOI: https://doi.org/10.24171/j.phrp.2020.11.4.13

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Objectives

This study presents the development and validation of a risk assessment program of highly pathogenic avian influenza (HPAI). This program was developed by the Korean government (Animal and Plant Quarantine Agency) and a private corporation (Korea Telecom, KT), using a national database (Korean animal health integrated system, KAHIS).

Methods

Our risk assessment program was developed using the multilayer perceptron method using R Language. HPAI outbreaks on 544 poultry farms (307 with H5N6, and 237 with H5N8) that had available visit records of livestock-related vehicles amongst the 812 HPAI outbreaks that were confirmed between January 2014 and June 2017 were involved in this study.

Results

After 140,000 iterations without drop-out, a model with 3 hidden layers and 10 nodes per layer, were selected. The activation function of the model was hyperbolic tangent. Precision and recall of the test gave F1 measures of 0.41, 0.68 and 0.51, respectively, at validation. The predicted risk values were higher for the “outbreak” (average ± SD, 0.20 ± 0.31) than “non-outbreak” (0.18 ± 0.30) farms (p < 0.001).

Conclusion

The risk assessment model developed was employed during the epidemics of 2016/2017 (pilot version) and 2017/2018 (complementary version). This risk assessment model enhanced risk management activities by enabling preemptive control measures to prevent the spread of diseases.

Citations

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Avian Influenza: Lessons from Past Outbreaks and an Inventory of Data Sources, Mathematical and AI Models, and Early Warning Systems for Forecasting and Hotspot Detection to Tackle Ongoing Outbreaks
Emmanuel Musa, Zahra Movahhedi Nia, Nicola Luigi Bragazzi, Doris Leung, Nelson Lee, Jude Dzevela Kong
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Educational Needs Associated with the Level of Complication and Comparative Risk Perceptions in People with Type 2 Diabetes: Youngji Hwang, Dongsuk Lee, Yeon Sook Kim; Osong Public Health Res Perspect. 2020;11(4):170-176. Published online August 31, 2020; DOI: https://doi.org/10.24171/j.phrp.2020.11.4.05

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Abstract PDF: Objectives
This study aimed to identify the educational needs of people with type 2 diabetes according to risk perceptions and the level of severity of complications.
Methods
There were 177 study participants who were outpatients of the internal medicine department at a university hospital located in the Republic of Korea, who consented to participate in the survey from December 10, 2016 to February 10, 2017. The data were analyzed using descriptive statistics, Pearson correlation, ANOVA with post-hoc comparison, and multiple regression analysis. Type 2 diabetes complications were classified into 3 groups: no complications, common complications, and severe complications.
Results
There were statistically significant positive correlations between educational needs and comparative risk perceptions, and the level of complication and comparative risk perception. Multiple regression analysis revealed that the factor predicting educational needs of type 2 diabetes people was their comparative risk perceptions, rather than the severity of diabetes complications or sociodemographic variables.
Conclusion
Since risk perception is the factor that indicates the educational needs of people with type 2 diabetes, there is a need to explore factors which increase risk perception, in order to meet educational needs. The findings suggest that a more specific and individualized educational program, which focuses on each person's risk perceptions, should be developed.

KCDC Risk Assessments on the Initial Phase of the COVID-19 Outbreak in Korea: Inho Kim, Jia Lee, Jihee Lee, Eensuk Shin, Chaeshin Chu, Seon Kui Lee; Osong Public Health Res Perspect. 2020;11(2):67-73. Published online April 30, 2020; DOI: https://doi.org/10.24171/j.phrp.2020.11.2.02

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18 Web of Science
17 Crossref

Abstract PDF

Objectives

This study aims to evaluate the risk assessments of coronavirus 2019 (COVID-19) in the Korea Centers for Disease Control and Prevention (KCDC), from the point of detection to the provision of basic information to the relevant public health authorities.

Methods

To estimate the overall risk of specific public health events, probability, and impact at the country-level were evaluated using available information. To determine the probability of particular public health events, the risk of importation and risk of transmission were taken into consideration. KCDC used 5 levels (“very low,” “low,” “moderate,” “high,” and “very high”) for each category and overall risk was eventually decided.

Results

A total of 8 risk assessments were performed on 8 separate occasions between January 8^th to February 28^th, 2020, depending on the detection and report of COVID-19 cases in other countries. The overall risk of the situation in each assessment increased in severity over this period: “low” (first), “moderate” (second), “high” (third), “high” (fourth), “high” (fifth), “high” (sixth), “high” (seventh), and “very high” (eighth).

Conclusion

The KCDC’s 8 risk assessments were utilized to activate national emergency response mechanisms and eventually prepare for the pandemic to ensure the containment and mitigation of COVID-19 with non-pharmaceutical public health measures.

Citations

Citations to this article as recorded by

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