Journal of Preventive Medicine and Public Health

Most-download articles are from the articles published in 2021 during the last three month.

Original Article

Non-vaccination Against COVID-19 Among Venezuelan Refugees and Migrants Adults in Peru: A Cross-sectional Study, 2022: Akram Hernández-Vásquez, Rodrigo Vargas-Fernández; J Prev Med Public Health. 2023;56(5):397-406. Published online August 17, 2023; DOI: https://doi.org/10.3961/jpmph.23.078

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Abstract Summary PDF: Objectives
The purpose of this study was to determine factors associated with non-vaccination against coronavirus disease 2019 (COVID-19) among the Venezuelan immigrant population residing in Peru.
Methods
A cross-sectional study was conducted using data obtained from the Second Survey of the Venezuelan Population Residing in Peru in 2022. The dependent variable was vaccination status against COVID-19. The independent variables included socio-demographic, economic, and migratory characteristics of the included population. Crude and adjusted generalized linear Poisson-family models were used to calculate prevalence ratios with 95% confidence intervals (CIs).
Results
A total of 7739 Venezuelan migrants aged 18 years or older were included. The proportion of non-vaccination against COVID-19 was 5.7%. Regarding associated factors, unemployment (adjusted prevalence ratio [aPR], 1.31; 95% CI, 1.04 to 1.65) was linked to an increased likelihood of not being vaccinated against COVID-19. In contrast, women (aPR, 0.76; 95% CI, 0.61 to 0.95), possessing a migration permit (aPR, 0.41; 95% CI, 0.31 to 0.54), and having health insurance (aPR, 0.47; 95% CI, 0.27 to 0.81) were associated with a decreased likelihood of being unvaccinated.
Conclusions
The primary governmental and non-governmental institutions responsible for supporting and protecting the Venezuelan migrant and refugee population should improve vaccination access by issuing migration permits and providing health insurance.; Summary

Key Message
• Vaccination against COVID-19 is a strategy that should be provided equitably to the entire population. However, there are vulnerable groups such as Venezuelan migrants who have structural, cultural and socioeconomic barriers that limit access to this prevention system. • In Peru, about 6% of Venezuelan migrants have not received the complete vaccination schedule against COVID-19 due to the lack of employment in this population. In fact, the majority (61.9%) of Venezuelan migrants have only received two doses of the COVID-19 vaccine by February 2022.

Review

Qualitative Research in Healthcare: Necessity and Characteristics: Jeehee Pyo, Won Lee, Eun Young Choi, Seung Gyeong Jang, Minsu Ock; J Prev Med Public Health. 2023;56(1):12-20. Published online January 10, 2023; DOI: https://doi.org/10.3961/jpmph.22.451

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10 Citations

Abstract Summary PDF

Quantitative and qualitative research explore various social phenomena using different methods. However, there has been a tendency to treat quantitative studies using complicated statistical techniques as more scientific and superior, whereas relatively few qualitative studies have been conducted in the medical and healthcare fields. This review aimed to provide a proper understanding of qualitative research. This review examined the characteristics of quantitative and qualitative research to help researchers select the appropriate qualitative research methodology. Qualitative research is applicable in following cases: (1) when an exploratory approach is required on a topic that is not well known, (2) when something cannot be explained fully with quantitative research, (3) when it is necessary to newly present a specific view on a research topic that is difficult to explain with existing views, (4) when it is inappropriate to present the rationale or theoretical proposition for designing hypotheses, as in quantitative research, and (5) when conducting research that requires detailed descriptive writing with literary expressions. Qualitative research is conducted in the following order: (1) selection of a research topic and question, (2) selection of a theoretical framework and methods, (3) literature analysis, (4) selection of the research participants and data collection methods, (5) data analysis and description of findings, and (6) research validation. This review can contribute to the more active use of qualitative research in healthcare, and the findings are expected to instill a proper understanding of qualitative research in researchers who review qualitative research reports and papers.

Summary

Korean summary
이 원고는 질적연구 방법론의 필요성 및 특징과 함께 보건의료 분야에서 질적연구 방법론이 활용된 선행 연구들을 정리하였다. 이는 보건의료 분야의 사회과학적 특성을 더 잘 드러내는 질적연구 방법론의 적용 및 확대에 도움이 될 것이다.

Citations

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Conducting and Writing Quantitative and Qualitative Research
Edward Barroga, Glafera Janet Matanguihan, Atsuko Furuta, Makiko Arima, Shizuma Tsuchiya, Chikako Kawahara, Yusuke Takamiya, Miki Izumi
Journal of Korean Medical Science.2023;[Epub] CrossRef
“The chameleon among diseases” - an explorative view of sarcoidosis and identification of the consequences for affected patients and relatives using qualitative interviews
Charlotte Hilker, Johanna Weis, Stefanie Ziehfreund, Elizabeth V. Arkema, Tilo Biedermann, Alexander Zink
Orphanet Journal of Rare Diseases.2023;[Epub] CrossRef
A qualitative pilot study exploring clients’ and health-care professionals’ experiences with aquatic therapy post-stroke in Ontario, Canada
Andresa R. Marinho-Buzelli, Abirami Vijayakumar, Elizabeth Linkewich, Catherine Gareau, Hasnain Mawji, Zoe Li, Sander L. Hitzig
Topics in Stroke Rehabilitation.2023; : 1. CrossRef
Qualitative Research in Healthcare: Data Analysis
Dasom Im, Jeehye Pyo, Haneul Lee, Hyeran Jung, Minsu Ock
Journal of Preventive Medicine and Public Health.2023; 56(2): 100. CrossRef
‘How is our job affecting us?’ Neonatal Intensive Care Unit healthcare providers and their pregnancy: A descriptive qualitative study
Gaia Dussi, Stefano Bembich, Roberta Crevatin, Sara Buchini, Silvana Schreiber, Livia Bicego, Andrea Cassone, Raffaella Dobrina
Journal of Advanced Nursing.2023; 79(10): 3776. CrossRef
Investigating Functional Impairment in Chronic Low Back Pain: A Qualitative Study from the Patients and Specialists’ Perspectives
Arturo Cuomo, Franco Marinangeli, Alberto Magni, Emiliano Petrucci, Alessandro Vittori, Marco Cascella
Journal of Personalized Medicine.2023; 13(6): 1012. CrossRef
Author Response: Students’ Positive Coping Strategies From Disaster: A Narrative Analysis
Minsu Ock
Journal of Preventive Medicine and Public Health.2023; 56(4): 390. CrossRef
Knowledge, Attitude, and Practice of Qualitative Research Among Health Sciences Faculty
Mohamud Mohamud, Alwaleed A Albarkani, Emad Masuadi, Abdullaziz A Alsahly, Abdulaziz I Alkudairy, Yazeed F Shalabi, Abdulrahman Faqih, Khaled A Alaukili, Saad J Alsahli
Cureus.2023;[Epub] CrossRef
A qualitative study on hope in iranian end stage renal disease patients undergoing hemodialysis
Masoume Rambod, Nilofar Pasyar, Ali Mohammad Parviniannasab
BMC Nephrology.2023;[Epub] CrossRef
The Mindfulness-Based Social Work and Self-Care Programme: A Focus Group Study
Alan Maddock, Karen McGuigan, Pearse McCusker, Jane Kellock
Clinical Social Work Journal.2023;[Epub] CrossRef

Original Article

Correlations Among Maternal and Infant Factors, Lead Exposure, and Serum Prolactin Levels During Lactation: A Cross-sectional Study in Indonesia: Linda Ratna Wati, Djanggan Sargowo, Tatit Nurseta, Lilik Zuhriyah, Bambang Rahardjo; J Prev Med Public Health. 2023;56(5):422-430. Published online August 22, 2023; DOI: https://doi.org/10.3961/jpmph.23.238

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Abstract Summary PDF: Objectives
Prolactin is vital for breastfeeding and milk production, and its secretion is influenced by factors related to the mother, infant, and environment. To date, no study has concurrently investigated the correlation of these factors with serum prolactin levels during lactation. Therefore, the objective of this study was to investigate the correlations among maternal and infant factors, lead exposure, and serum prolactin levels during lactation.
Methods
A cross-sectional approach was employed in Surabaya, Indonesia, among 110 exclusively lactating mothers. The mothers’ daily diets were determined using multiple 24-hour recalls, while blood lead levels were measured with inductively coupled plasma mass spectrometry. Serum prolactin levels were assessed using the electrochemiluminescence immunoassay. For bivariate analysis, we employed the Spearman correlation, Mann-Whitney, and Kruskal-Wallis tests, while for multivariate analysis, we utilized multiple linear regression.
Results
The average serum prolactin level of the lactating mothers was 129.19±88.96 ng/mL. Positive correlations were found between serum prolactin levels and breastfeeding frequency (p < 0.001), protein intake (p < 0.001), and calcium intake (p = 0.011) but had negative correlation with blood lead levels (p < 0.001) and vitamin B6 intake (p = 0.003). Additionally, prolactin levels were not significantly associated with maternal age; parity; intake of calories, vitamin D, vitamin E, zinc, folic acid, magnesium, or iron; infant age; or infant sex.
Conclusions
Breastfeeding frequency had a stronger positive relationship with serum prolactin levels than protein and calcium intake. However, lead exposure was associated with reduced serum prolactin levels during lactation. Consequently, specific interventions from policymakers are necessary to manage breastfeeding in mothers exposed to lead.; Summary

Key Message
Prolactin secretion is influenced by factors related to the mother, infant, and environment, and this study was to investigate the correlations among maternal and infant factors, lead exposure, and serum prolactin levels during lactation. In total 110 exclusively lactating mothers were included, with information on their socio-demographic, daily diet, blood lead level, prolactin level, and infant characteristics. Breastfeeding frequency had a stronger positive relationship with serum prolactin levels than protein and calcium intake. However, lead exposure was associated with reduced serum prolactin levels during lactation. Consequently, specific interventions from policymakers are necessary to manage breastfeeding in mothers exposed to lead.

Review

Qualitative Research in Healthcare: Data Analysis: Dasom Im, Jeehye Pyo, Haneul Lee, Hyeran Jung, Minsu Ock; J Prev Med Public Health. 2023;56(2):100-110. Published online February 15, 2023; DOI: https://doi.org/10.3961/jpmph.22.471

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5 Citations

Abstract Summary PDF

Qualitative research methodology has been applied with increasing frequency in various fields, including in healthcare research, where quantitative research methodology has traditionally dominated, with an empirically driven approach involving statistical analysis. Drawing upon artifacts and verbal data collected from in-depth interviews or participatory observations, qualitative research examines the comprehensive experiences of research participants who have experienced salient yet unappreciated phenomena. In this study, we review 6 representative qualitative research methodologies in terms of their characteristics and analysis methods: consensual qualitative research, phenomenological research, qualitative case study, grounded theory, photovoice, and content analysis. We mainly focus on specific aspects of data analysis and the description of results, while also providing a brief overview of each methodology’s philosophical background. Furthermore, since quantitative researchers have criticized qualitative research methodology for its perceived lack of validity, we examine various validation methods of qualitative research. This review article intends to assist researchers in employing an ideal qualitative research methodology and in reviewing and evaluating qualitative research with proper standards and criteria.

Summary

Korean summary
질적연구 방법론은 보건의료 연구에서 연구 참여자가 경험하는 주요 현상을 잘 포착할 수 있도록 해 준다. 이 논문에서는 합의적 질적연구, 현상학적 연구, 질적 사례 연구, 근거이론, 포토보이스, 내용 분석 등 6가지의 대표적인 질적 연구 방법론에 대한 간략한 철학적 배경과 구체적인 데이터 분석 및 해석 방법을 소개한다.

Citations

Citations to this article as recorded by

Author Response: Students’ Positive Coping Strategies From Disaster: A Narrative Analysis
Minsu Ock
Journal of Preventive Medicine and Public Health.2023; 56(4): 390. CrossRef
Letter to the Editor: Students’ Positive Coping Strategies From Disaster: A Narrative Analysis
Allan M. Abiera, Jan Gresil Kahambing
Journal of Preventive Medicine and Public Health.2023; 56(4): 388. CrossRef
Knowledge, Attitude, and Practice of Qualitative Research Among Health Sciences Faculty
Mohamud Mohamud, Alwaleed A Albarkani, Emad Masuadi, Abdullaziz A Alsahly, Abdulaziz I Alkudairy, Yazeed F Shalabi, Abdulrahman Faqih, Khaled A Alaukili, Saad J Alsahli
Cureus.2023;[Epub] CrossRef
Patients’ Reasons to Consider and Their Attitudes toward Complementary and Alternative Medicine
Katharina Matjuschenko, Christian Keinki, Jutta Huebner, Pranshu Sahgal
European Journal of Cancer Care.2023; 2023: 1. CrossRef
The human role to guarantee an ethical AI in healthcare: a five-facts approach
Raquel Iniesta
AI and Ethics.2023;[Epub] CrossRef

Special Article

Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method: Dasom Im, Noor Afif Mahmudah, Seok-Jun Yoon, Young-Eun Kim, Don-Hyung Lee, Yeon-hee Kim, Yoon-Sun Jung, Minsu Ock; J Prev Med Public Health. 2023;56(4):291-302. Published online June 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.192

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Abstract Summary PDF Supplementary Material: Objectives
Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics.
Methods
The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively.
Results
The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights.
Conclusions
This method can be employed in other countries to obtain timely disability weight estimations.; Summary

Korean summary
이 연구에서는 장애보정생존연수의 산출 방법론 중 발생률 기반 접근법을 이용하여 질병부담 산출에 활용할 질병원인에 대한 장애가중치를 산출하고 한국의 문화사회적 특징을 고려하여 이에 대한 타당성을 검증하였다. 특히, 지난 연구에서 활용한 질병원인에 대한 장애가중치 결과값을 add-on study 방법으로 활용하여 장애가중치를 개정하였다. 이번 연구에서 수행한 add-on study 방법을 활용하여 장애가중치 값을 산출할 경우 다수의 전문가의 누적된 의견을 기반으로 장애가중치를 안정적으로 개정하여 특정 질병원인의 장애보정생존연수를 보다 정확하게 산출할 수 있게 될 것이다.

Original Articles

Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam: Thang Phan, Ha Phan Ai Nguyen, Cao Khoa Dang, Minh Tri Phan, Vu Thanh Nguyen, Van Tuan Le, Binh Thang Tran, Chinh Van Dang, Tinh Huu Ho, Minh Tu Nguyen, Thang Van Dinh, Van Trong Phan, Binh Thai Dang, Huynh Ho Ngoc Quynh, Minh Tran Le, Nhan Phuc Thanh Nguyen; J Prev Med Public Health. 2023;56(4):319-326. Published online May 31, 2023; DOI: https://doi.org/10.3961/jpmph.22.528

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Abstract PDF: Objectives
The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic.
Methods
In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher.
Results
Participants’ mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95).
Conclusions
The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.; Summary

Gender Inequalities in Mental Health During the COVID-19 Pandemic: A Population-based Study in Korea: Minku Kang, Sarah Yu, Seung-Ah Choe, Daseul Moon, Myung Ki, Byung Chul Chun; J Prev Med Public Health. 2023;56(5):413-421. Published online August 19, 2023; DOI: https://doi.org/10.3961/jpmph.23.170

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Abstract Summary PDF Supplementary Material: Objectives
This study explored the effect of the coronavirus disease 2019 (COVID-19) pandemic on psychosocial stress in prime working-age individuals in Korea, focusing on gender inequalities. We hypothesized that the impact of COVID-19 on mental health would differ by age and gender, with younger women potentially demonstrating heightened vulnerability relative to men.
Methods
The study involved data from the Korea Community Health Survey and included 319 592 adults aged 30 years to 49 years. We employed log-binomial regression analysis, controlling for variables including age, education, employment status, marital status, and the presence of children. The study period included 3 phases: the period prior to the COVID-19 outbreak (pre–COVID-19), the early pandemic, and the period following the introduction of vaccinations (post-vaccination).
Results
The findings indicated that women were at a heightened risk of psychosocial stress during the early pandemic (relative risk [RR], 1.01; 95% confidence interval [CI], 0.98 to 1.05) and post-vaccination period (RR, 1.07; 95% CI, 1.04 to 1.10) compared to men. This pattern was prominent in urban women aged 30-34 years (pre–COVID-19: RR, 1.06; 95% CI, 1.02 to 1.10; early pandemic: RR, 1.16; 95% CI, 1.08 to 1.25; post-vaccination period, RR, 1.22; 95% CI, 1.14 to 1.31).
Conclusions
The COVID-19 pandemic has exerted unequal impacts on psychosocial stress among prime working-age individuals in Korea, with women, particularly those in urban areas, experiencing a heightened risk. The findings highlight the importance of addressing gender-specific needs and implementing appropriate interventions to mitigate the psychosocial consequences of the pandemic.; Summary

Korean summary
코로나19 대유행이 국내 경제활동인구의 정신건강에 미친 젠더화된 영향을 조사하였다. 연구대상자는 2017-2021년 지역사회건강조사 조사대상자 319,592명이다. 연구 결과, 대유행 이후 30-39세 연령대 여성의 스트레스 수준이 남성에 비하여 현저히 증가한 것으로 나타났으며, 사회적 거리두기를 엄격하게 시행하였던 도시 지역에서 이러한 경향이 두드러졌다. 이번 연구 결과는 대유행 대응 노력에서 취약 집단을 지원하기 위한 중재 정책의 필요성을 강조한다

Key Message
We investigate the gendered impact of the COVID-19 pandemic on the mental health of the working-age population in Korea, focusing on ages 30-49, utilizing data from the Korea Community Health Survey (KCHS) from 2017 to 2021 including 319,592 participants. Findings reveal a notable increase in stress levels among women in the 30-39 age group after the pandemic compared to men, accentuating in urban areas with stringent social distancing measures. Our results underscore the necessity for intervention policies to support vulnerable groups in pandemic response efforts.

Special Article

An Introduction to Causal Mediation Analysis With a Comparison of 2 R Packages: Sangmin Byeon, Woojoo Lee; J Prev Med Public Health. 2023;56(4):303-311. Published online July 31, 2023; DOI: https://doi.org/10.3961/jpmph.23.189

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Abstract Summary PDF Supplementary Material: Traditional mediation analysis, which relies on linear regression models, has faced criticism due to its limited suitability for cases involving different types of variables and complex covariates, such as interactions. This can result in unclear definitions of direct and indirect effects. As an alternative, causal mediation analysis using the counterfactual framework has been introduced to provide clearer definitions of direct and indirect effects while allowing for more flexible modeling methods. However, the conceptual understanding of this approach based on the counterfactual framework remains challenging for applied researchers. To address this issue, the present article was written to highlight and illustrate the definitions of causal estimands, including controlled direct effect, natural direct effect, and natural indirect effect, based on the key concept of nested counterfactuals. Furthermore, we recommend using 2 R packages, ‘medflex’ and ‘mediation’, to perform causal mediation analysis and provide public health examples. The article also offers caveats and guidelines for accurate interpretation of the results.; Summary

Korean summary
전통적 매개분석은 여러 유형의 변수 혹은 복잡한 상호작용을 포함할 경우, 직접 및 간접효과의 정의가 불분명하다는 비판에 직면해왔다. 이에 대한 대안으로서 인과매개분석은 반사실적 개념에 기반하여 직접 및 간접효과를 명료하게 정의하며 유연한 모델링을 가능하게 한다. 다만 이 새로운 접근의 주요 개념을 응용 연구자들이 이해하는 데에는 다소 어려운 측면이 있다. 이러한 점에서 이 논문에서는 중첩된 반사실적 변수에 기반한 인과적 모수의 정의를 상술하고 인과매개분석을 위한 대표적인 R 패키지인 medflex 및 mediation을 활용하여 공공 보건 사례에 대한 분석 실례 및 유의사항을 제공하였다.

Correspondence

An Evaluation of the Philippine Healthcare System: Preparing for a Robust Public Health in the Future: Dalmacito A. Cordero Jr.; J Prev Med Public Health. 2022;55(3):310-311. Published online May 31, 2022; DOI: https://doi.org/10.3961/jpmph.22.154

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2 Citations

PDF

Summary

Citations

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It takes two to tango: eliminating corruption in politics and public health
Dalmacito A Cordero Jr
Journal of Public Health.2023; 45(3): e600. CrossRef
Catastrophic Out-of-Pocket Expenditure on Health: Evidence from the Regions in the Philippines
Winnie Mae DJ. Villanueva, Peter John B. Aranas
Journal Healthcare Treatment Development.2023; (36): 18. CrossRef

Original Articles

Reliability of a Newly Developed Tool to Assess and Classify Work-related Stress (TAWS-16) for Indian Workforce: Gautham Melur Sukumar, Runalika Roy, Mariamma Philip, Gururaj Gopalkrishna; J Prev Med Public Health. 2023;56(5):407-412. Published online August 19, 2023; DOI: https://doi.org/10.3961/jpmph.23.219

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Abstract Summary PDF: Objectives
Work stress is associated with non-communicable diseases, increased healthcare costs, and decreased work productivity among employees in the information technology sector. There is a need for regular work-stress screening among employees using valid and reliable tools. The Tool to Assess and Classify Work Stress (TAWS-16) was developed to overcome limitations in existing stress assessment tools in India. This study aimed to test the reliability of TAWS-16 in a sample of managerial-supervisory employees.
Methods
This observational reliability study included data from 62 employees. Test-retest and inter-method reliability were investigated using a TAWS-16 web application and interview by telephone, respectively. Kappa values and intra-class correlation coefficients were calculated. Internal consistency was assessed through Cronbach’s alpha.
Results
For both test-retest and inter-method reliability, the agreement for both work-related factors and symptoms suggestive of work stress exceeded 80%, and all kappa values were 0.40 or higher. Cronbach’s alpha for test-retest and inter-method reliability was 0.983 and 0.941, respectively.
Conclusions
TAWS-16 demonstrated acceptable reliability. It measured stressors, coping abilities, and psychosomatic symptoms associated with work stress. We recommend using TAWS-16 to holistically identify work stress among employees during periodical health check-ups in India.; Summary

Key Message
The study assessed test-retest and inter-method reliability of Tool to Assess Work Stress (TAWS – 16) developed by Centre for Public Health, National Institute of Mental Health and Neurosciences (NIMHANS) on 62 employees in Bengaluru, India. Kappa statistics, Intra-class correlation coefficient (ICC) and Cronbach’s alpha were calculated. TAWS – 16 demonstrated acceptable reliability, good internal consistency and can be used to identify work stress among employees during periodical health check-ups in Indian setting.

The Association Between PM_2.5 Exposure and Diabetes Mellitus Among Thai Army Personnel: Apisorn Laorattapong, Sarun Poobunjirdkul, Thanapoom Thanapoom, Wiroj Jiamjarasrangsi; J Prev Med Public Health. 2023;56(5):449-457. Published online September 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.292

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Abstract Summary PDF Supplementary Material: Objectives
This study investigated the association between baseline exposures to particulate matter with a diameter < 2.5 microns (PM_2.5) and subsequent temporal changes in PM_2.5 exposure with the incidence of type 2 diabetes among Royal Thai Army personnel.
Methods
A retrospective cohort study was conducted using nationwide health check-up data from 21 325 Thai Army personnel between 2018 and 2021. Multilevel mixed-effects parametric survival statistics were utilized to analyze the relationship between baseline (i.e., PM_2.5-baseline) and subsequent changes (i.e., PM_2.5-change) in PM_2.5 exposure and the occurrence of type 2 diabetes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were employed to assess this association while considering covariates.
Results
There was a significant association between both PM_2.5 baseline and PM_2.5-change and the incidence of type 2 diabetes in a dose-response manner. Compared to quartile 1, the HRs for quartiles 2 to 4 of PM_2.5-baseline were 1.11 (95% CI, 0.74 to 1.65), 1.51 (95% CI, 1.00 to 2.28), and 1.77 (95% CI, 1.07 to 2.93), respectively. Similarly, the HRs for quartiles 2 to 4 of PM_2.5-change were 1.41 (95% CI, 1.14 to 1.75), 1.43 (95% CI, 1.13 to 1.81) and 2.40 (95% CI, 1.84 to 3.14), respectively.
Conclusions
Our findings contribute to existing evidence regarding the association between short-term and long-term exposure to PM_2.5 and the incidence of diabetes among personnel in the Royal Thai Army.; Summary

Key Message
We simultaneously investigated the impact of the baseline and temporal variations in the exposure to particulate matter (PM) with a diameter <2.5 microns (PM2.5) on type 2 diabetes risk among the Royal Thai Army personnel. We found stronger evidence on the impact of the temporal variation in PM2.5 exposure on the disease risk than that of the baseline variation. This finding may reflect the shorter time frame between the increased PM2.5 exposure and changes in fasting plasma glucose level.

The Effect of the Physical Factors of Parents and Children on Stunting at Birth Among Newborns in Indonesia: Kencana Sari, Ratu Ayu Dewi Sartika; J Prev Med Public Health. 2021;54(5):309-316. Published online August 29, 2021; DOI: https://doi.org/10.3961/jpmph.21.120

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Abstract PDF

Objectives
This study examined stunting at birth and its associations with physical factors of parents and children in Indonesia.
Methods
This study analyzed secondary data from the national cross-sectional Indonesian Basic Health Survey 2018, conducted across 34 provinces and 514 districts/cities. Birth length data were available for 756 newborns. Univariable, bivariable, and multivariable logistic regression analyses were performed to determine associations between the physical factors of parents and children and stunting at birth.
Results
In total, 10.2% of children aged 0 months were stunted at birth (10.7% of males and 9.5% of females). Stunting at birth was associated with the mother’s age at first pregnancy, parity, parents’ heights, parents’ ages, and gestational age. Children from mothers with short statures (height <145.0 cm) and fathers with short statures (height <161.9 cm) had an almost 6 times higher likelihood of being stunted at birth (adjusted odds ratio, 5.93; 95% confidence interval, 5.53 to 6.36). A higher maternal age at first pregnancy had a protective effect against stunting. However, other variables (firstborn child, preterm birth, and both parents’ ages being <20 or >35 years) corresponded to a 2-fold higher likelihood of stunting at birth compared to the reference.
Conclusions
These findings provide evidence that interventions to reduce stunting aimed at pregnant females should also consider the parents’ stature, age, and parity, particularly if it is the first pregnancy and if the parents are short in stature or young. Robust programs to support pregnant females and monitor children’s heights from birth will help prevent intergenerational stunting.

Summary

Citations

Citations to this article as recorded by

Stunting at birth: linear growth failure at an early age among newborns in Hawassa city public health hospitals, Sidama region, Ethiopia: a facility-based cross-sectional study
Haileyesus Ejigu, Zelalem Tafese
Journal of Nutritional Science.2023;[Epub] CrossRef
Socio-economic and agricultural factors associated with stunting of under 5-year children: findings from surveys in mountains, dry zone and delta regions of rural Myanmar (2016–2017)
Min Kyaw Htet, Tran Thanh Do, Thet Wah, Thant Zin, Myat Pan Hmone, Shahreen Raihana, Elizabeth Kirkwood, Lwin Mar Hlaing, Michael J Dibley
Public Health Nutrition.2023; 26(8): 1644. CrossRef
Determinants of Incident Stunting in Elementary School Children in Endemic Area Iodine Deficiency Disorders Enrekang Regency
Nur Abri, Saifuddin Sirajuddin, Burhanuddin Bahar, Nurhaedar Jafar, Syamsiar S. Russeng, Zakaria Zakaria, Veni Hadju, Abdul Salam, Abdul Razak Thaha
Open Access Macedonian Journal of Medical Sciences.2022; 10(E): 161. CrossRef

Perspective

Epidemiological Model for Conventional Tobacco Control Measures and Tobacco Endgame Policies: Heewon Kang, Sung-il Cho; J Prev Med Public Health. 2023;56(5):481-484. Published online September 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.239

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Abstract Summary PDF Supplementary Material: Epidemiological models, also known as host-agent-vector-environment models, are utilized in public health to gain insights into disease occurrence and to formulate intervention strategies. In this paper, we propose an epidemiological model that incorporates both conventional measures and tobacco endgame policies. Our model suggests that conventional measures focus on relationships among agent-vector-host-environment components, whereas endgame policies inherently aim to change or eliminate those components at a fundamental level. We also found that the vector (tobacco industry) and environment (physical and social surroundings) components were insufficiently researched or controlled by both conventional measures and tobacco endgame policies. The use of an epidemiological model for tobacco control and the tobacco endgame is recommended to identify areas that require greater effort and to develop effective intervention measures.; Summary

Korean summary
이 연구는 기존의 담배규제와 관련된 역학 모형을 확장하여 담배 수요를 줄이기 위한 조치인 MPOWER 정책과 담배 종결전의 주요 정책을 아우르는 개념적 모형을 제시하였다. 각 정책을 개념적 모형 내 배치한 결과, MPOWER 정책은 모형 내 구성요소 간의 연결을 끊는 것을 목표로 하는 반면, 종결전 정책은 모형 내 요소들을 영구적으로 변화시키거나 제거하려는 특성을 가지고 있는 것으로 나타났다. 담배규제정책이 개체, 병원체, 벡터 및 환경 요소에 대한 균형 잡힌 포트폴리오를 갖추고 있는지 평가하기 위해 이 개념적 모형을 활용할 수 있다.

Key Message
We extended the conceptual epidemiological model for tobacco control by incorporating measures to reduce the demand for tobacco (MPOWER measures) and key endgame policies. The model suggests that MPOWER measures focus on disconnecting the relationships between model components, while endgame policies aim to permanently change or eliminate the components themselves. This model can be used to examine whether a country or jurisdiction's tobacco control policy maintains a balanced portfolio across agent, host, vector, and environmental factors.

Original Articles

Health-related Quality of Life of Patients With Diabetes Mellitus Measured With the Bahasa Indonesia Version of EQ-5D in Primary Care Settings in Indonesia: Muhammad Husen Prabowo, Ratih Puspita Febrinasari, Eti Poncorini Pamungkasari, Yodi Mahendradhata, Anni-Maria Pulkki-Brännström, Ari Probandari; J Prev Med Public Health. 2023;56(5):467-474. Published online September 26, 2023; DOI: https://doi.org/10.3961/jpmph.23.229

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Abstract Summary PDF: Objectives
Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population’s health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia.
Methods
A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group’s validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL.
Results
Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score.
Conclusions
Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.; Summary

Key Message
This study examined Health-Related Quality of Life (HRQoL) in 260 type 2 diabetes patients in Indonesia. Most were male (60.6%), over 50 (91.5%), with low education (75%) and unemployed (85.6%). Pain/discomfort was the most common issue (64%), followed by anxiety (28.4%). The average HRQoL score was 0.86. Higher education positively impacted HRQoL. Diabetes patients face lower HRQoL compared to the general population, with notable issues in pain and anxiety. Education level significantly influences HRQoL. This highlights the importance of education in improving the well-being of diabetes patients in Indonesia.

Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques: Similien Ndagijimana, Ignace Habimana Kabano, Emmanuel Masabo, Jean Marie Ntaganda; J Prev Med Public Health. 2023;56(1):41-49. Published online January 6, 2023; DOI: https://doi.org/10.3961/jpmph.22.388

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Abstract PDF: Objectives
Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015; however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45%. The best options for the early detection and treatment of stunting should be made a community policy priority, and health services remain an issue. Hence, this research aimed to develop a model for predicting stunting in Rwandan children.
Methods
The Rwanda Demographic and Health Survey 2019-2020 was used as secondary data. Stratified 10-fold cross-validation was used, and different machine learning classifiers were trained to predict stunting status. The prediction models were compared using different metrics, and the best model was chosen.
Results
The best model was developed with the gradient boosting classifier algorithm, with a training accuracy of 80.49% based on the performance indicators of several models. Based on a confusion matrix, the test accuracy, sensitivity, specificity, and F1 were calculated, yielding the model’s ability to classify stunting cases correctly at 79.33%, identify stunted children accurately at 72.51%, and categorize non-stunted children correctly at 94.49%, with an area under the curve of 0.89. The model found that the mother’s height, television, the child’s age, province, mother’s education, birth weight, and childbirth size were the most important predictors of stunting status.
Conclusions
Therefore, machine-learning techniques may be used in Rwanda to construct an accurate model that can detect the early stages of stunting and offer the best predictive attributes to help prevent and control stunting in under five Rwandan children.; Summary

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