Journal of Preventive Medicine and Public Health

Original Articles

Inequality in Private Health Care Expenditures: A 36-Year Trend Study of Iranian Households: Ehsan Aghapour, Mehdi Basakha, Seyed Hossein Mohaqeqi Kamal, Abolghasem Pourreza; J Prev Med Public Health. 2022;55(4):379-388. Published online June 27, 2022; DOI: https://doi.org/10.3961/jpmph.22.123

2,322 View
76 Download
1 Crossref

Objectives
Throughout history, societies have been impacted by inequality. Many studies have been conducted on the topic more broadly, but only a few have investigated inequalities in out-of-pocket health payments (OHP). This study measures OHP inequality trends among the Iranian households.
Methods
This study used data from the Iranian Statistics Center on Iranian household income and expenditures. The analysis included a total of 995 300 households during the 36 years from 1984 to 2019. The Gini coefficient, Atkinson index, and Theil index were calculated for Iranian OHP.
Results
Average Iranian household OHP increased from 33 US dollar (USD) in 1984 to 47 USD in 2019. During this 36-year span, the average±standard deviation Gini coefficient for OHP was 0.73±0.04, and the Atkinson and Theil indexes were 0.68±0.05 and 1.14±0.29, respectively. The Gini coefficients for the subcategories of OHP of outpatient diagnostic services, medical assistant accessories, hospital inpatient services, and addiction cessation were 0.70, 0.61, 0.84, and 0.64, respectively.
Conclusions
In this study, we scrutinized trends of inequality in the OHP of Iranian households. Inequality in OHP decreased slightly over the past four decades. An analysis of trends among different subgroups revealed that affluent households, such as households with insurance coverage and households in higher income deciles, experienced higher inequality. Therefore, lower inequality in health care expenditures may be related to restricted access to health care services in Iran.

Summary

Citations

Citations to this article as recorded by

Decomposition of Healthcare Utilization Inequality in Iran: The Prominent Role of Health Literacy and Neighborhood Characteristics
Neda Soleimanvandiazar, Seyed Hossein Mohaqeqi Kamal, Mehdi Basakha, SalahEddin Karim, Sina Ahmadi, Gholamreza Ghaedamini Harouni, Homeira Sajjadi, Ameneh Setareh Forouzan
INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub] CrossRef

Analysis of Differences in Preterm Birth Rates According to Household Occupation in Japan From 2007 to 2019: Tasuku Okui, Naoki Nakashima; J Prev Med Public Health. 2022;55(4):371-378. Published online June 20, 2022; DOI: https://doi.org/10.3961/jpmph.22.178

2,393 View
93 Download
3 Crossref

Abstract PDF

Objectives
No studies have examined the association between preterm birth rates and socioeconomic factors in Japan using nationwide statistical data. We analyzed the association between preterm birth rates and household occupation using Vital Statistics data.
Methods
Aggregated Vital Statistics data from Japan from 2007 to 2019 were obtained from the Ministry of Health, Labour and Welfare. From the data, the number of births according to year, age group, gestational period, number of pregnancies, and household occupation were used in this study. Crude preterm birth rates and preterm birth rates adjusted by maternal age according to household occupation were calculated for each year. Poisson regression analysis was conducted to evaluate the association between household occupation and preterm births.
Results
Unemployed households had the highest preterm birth rate, and households with an occupation classification of “full-time worker 2” (an employee at a large company, civil servant, or board member) had the lowest preterm birth rate throughout each period. Poisson regression analysis revealed that unemployed households were statistically significantly associated with a high preterm birth risk. In contrast, the preterm birth rate adjusted by maternal age remained stable throughout each period regardless of household occupation, and preterm birth rates were found not to have increased in recent years in Japan.
Conclusions
Unemployed households had higher preterm birth rates than other household occupations. Further studies investigating the characteristics of unemployed households are needed to identify the reasons for this disparity.

Summary

Citations

Citations to this article as recorded by

Analysis of an Association between Preterm Birth and Parental Educational Level in Japan Using National Data
Tasuku Okui
Children.2023; 10(2): 342. CrossRef
Association of maternal nationality with preterm birth and low birth weight rates: analysis of nationwide data in Japan from 2016 to 2020
Tasuku Okui, Yoko Sato, Seiichi Morokuma, Naoki Nakashima
Maternal Health, Neonatology and Perinatology.2023;[Epub] CrossRef
Does the father’s job matter? Parental occupation and preterm birth in Korea
Taemi Kim, Eunseon Gwak, Bolormaa Erdenetuya, Jeong-Won Oh, Jung-won Yoon, Myoung-Hee Kim, Jia Ryu, Seung-Ah Choe
Epidemiology and Health.2023; 45: e2023078. CrossRef

Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran: Farhad Pourfarzi, Telma Zahirian Moghadam, Hamed Zandian; J Prev Med Public Health. 2022;55(3):297-306. Published online May 3, 2022; DOI: https://doi.org/10.3961/jpmph.22.051

2,970 View
88 Download

Abstract PDF Supplementary Material: Objectives
The incidence of cardiovascular disease (CVD) mortality is increasing in developing countries. This study aimed to decompose the socioeconomic inequality of CVD in Iran.
Methods
This cross-sectional population-based study was conducted on 20 519 adults who enrolled in the Ardabil Non-Communicable Disease cohort study. Principal component analysis and multivariable logistic regression were used, respectively, to estimate socioeconomic status and to describe the relationships between CVD prevalence and the explanatory variables. The relative concentration index, concentration curve, and Blinder-Oaxaca decomposition model were used to measure and decompose the socioeconomic inequality.
Results
The overall age-adjusted prevalence of CVD was 8.4% in northwest Iran. Multivariable logistic regression showed that older adults, overweight or obese adults, and people with hypertension and diabetes were more likely to have CVD. Moreover, people with low economic status were 38% more likely to have CVD than people with high economic status. The prevalence of CVD was mainly concentrated among the poor (concentration index, -0.077: 95% confidence interval, -0.103 to -0.060), and 78.66% of the gap between the poorest and richest groups was attributed to differences in the distribution of the explanatory variables included in the model.
Conclusions
The most important factors affecting inequality in CVD were old age, chronic illness (hypertension and diabetes), marital status, and socioeconomic status. This study documented stark inequality in the prevalence of CVD, wherein the poor were more affected than the rich. Therefore, it is necessary to implement policies to monitor, screen, and control CVD in poor people living in northwest Iran.; Summary

Socioeconomic Predictors of Diabetes Mortality in Japan: An Ecological Study Using Municipality-specific Data: Tasuku Okui; J Prev Med Public Health. 2021;54(5):352-359. Published online August 14, 2021; DOI: https://doi.org/10.3961/jpmph.21.215

3,482 View
139 Download
3 Crossref

Abstract PDF Supplementary Material

Objectives
The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality.
Methods
Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis.
Results
The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile.
Conclusions
Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

Summary

Citations

Citations to this article as recorded by

Worldwide burden and trends of diabetes among people aged 70 years and older, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019
Shimin Jiang, Tianyu Yu, Dingxin Di, Ying Wang, Wenge Li
Diabetes/Metabolism Research and Reviews.2024;[Epub] CrossRef
The Effect of Neighborhood Deprivation on Mortality in Newly Diagnosed Diabetes Patients: A Countrywide Population-Based Korean Retrospective Cohort Study, 2002–2013
Kyoung-Hee Cho, Juyeong Kim, Young Choi, Tae-Hyun Kim
International Journal of Environmental Research and Public Health.2022; 19(7): 4324. CrossRef
Depression, cognitive dysfunction and other factors associated with 5-year overall mortality in type 2 diabetes mellitus: a pilot prospective observational study
E. G. Starostina, M. N. Volodina, I. V. Starostin
Diabetes mellitus.2022; 25(4): 327. CrossRef

COVID-19: Original Article

Did the Timing of State Mandated Lockdown Affect the Spread of COVID-19 Infection? A County-level Ecological Study in the United States: Megh M. Trivedi, Anirudha Das; J Prev Med Public Health. 2021;54(4):238-244. Published online July 2, 2021; DOI: https://doi.org/10.3961/jpmph.21.071

3,432 View
115 Download
7 Crossref

Abstract PDF

Objectives
Previous pandemics have demonstrated that several demographic, geographic, and socioeconomic factors may play a role in increased infection risk. During this current coronavirus disease 2019 (COVID-19) pandemic, our aim was to examine the association of timing of lockdown at the county level and aforementioned risk factors with daily case rate (DCR) in the United States.
Methods
A cross-sectional study using publicly available data was performed including Americans with COVID-19 infection as of May 24, 2020. The United States counties with >100 000 population and >50 cases per 100 000 people were included. The independent variable was the days required from the declaration of lockdown to reach the target case rate (50/100 000 cases) while the dependent (outcome) variable was the DCR per 100 000 on the day of statistical calculation (May 24, 2020) after adjusting for multiple confounding socio-demographic, geographic, and health-related factors. Each independent factor was correlated with outcome variables and assessed for collinearity with each other. Subsequently, all factors with significant association to the outcome variable were included in multiple linear regression models using stepwise method. Models with best R2 value from the multiple regression were chosen.
Results
The timing of mandated lockdown order had the most significant association on the DCR per 100 000 after adjusting for multiple socio-demographic, geographic and health-related factors. Additional factors with significant association with increased DCR include rate of uninsured and unemployment.
Conclusions
The timing of lockdown order was significantly associated with the spread of COVID-19 at the county level in the United States.

Summary

Citations

Citations to this article as recorded by

Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study
Putri Winda Lestari, Lina Agestika, Gusti Kumala Dewi
Journal of Preventive Medicine and Public Health.2023; 56(1): 21. CrossRef
Assessing the Impacts of COVID-19 and Social Isolation on Mental Health in the United States of America
Alexander Fulk, Raul Saenz-Escarcega, Hiroko Kobayashi, Innocent Maposa, Folashade Agusto
COVID.2023; 3(6): 807. CrossRef
Understanding mental health trends during COVID-19 pandemic in the United States using network analysis
Hiroko Kobayashi, Raul Saenz-Escarcega, Alexander Fulk, Folashade B. Agusto, Karina Cardoso Meira
PLOS ONE.2023; 18(6): e0286857. CrossRef
Conspiratorial Ideation Is Associated with Lower Perceptions of Policy Effectiveness: Views from Local Governments during the COVID-19 Pandemic
Adam Mayer, Stacia Ryder
Socius: Sociological Research for a Dynamic World.2023;[Epub] CrossRef
Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings
Caitriona Murphy, Wey Wen Lim, Cathal Mills, Jessica Y. Wong, Dongxuan Chen, Yanmy Xie, Mingwei Li, Susan Gould, Hualei Xin, Justin K. Cheung, Samir Bhatt, Benjamin J. Cowling, Christl A. Donnelly
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.2023;[Epub] CrossRef
Effects of Closures and Openings on Public Health in the Time of COVID-19: A Cross-Country and Temporal Trend Analysis
Long Chu, R. Quentin Grafton, Tom Kompas, Mary-Louise McLaws
SAGE Open.2023;[Epub] CrossRef
Association mining based approach to analyze COVID-19 response and case growth in the United States
Satya Katragadda, Raju Gottumukkala, Ravi Teja Bhupatiraju, Azmyin Md. Kamal, Vijay Raghavan, Henry Chu, Ramesh Kolluru, Ziad Ashkar
Scientific Reports.2021;[Epub] CrossRef

COVID-19: Brief Report

Association of Lower Socioeconomic Status and SARS-CoV-2 Positivity in Los Angeles, California: Lao-Tzu Allan-Blitz, Cameron Goldbeck, Fred Hertlein, Isaac Turner, Jeffrey D. Klausner; J Prev Med Public Health. 2021;54(3):161-165. Published online April 13, 2021; DOI: https://doi.org/10.3961/jpmph.21.126

3,764 View
200 Download
10 Web of Science
16 Crossref

Abstract PDF

Objectives
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spreads heterogeneously, disproportionately impacting poor and minority communities. The relationship between poverty and race is complex, with a diverse set of structural and systemic factors driving higher rates of poverty among minority populations. The factors that specifically contribute to the disproportionate rates of SARS-CoV-2 infection, however, are not clearly understood.
Methods
We evaluated SARS-CoV-2 test results from community-based testing sites in Los Angeles, California, between June and December, 2020. We used tester zip code data to link those results with United States Census report data on average annual household income, rates of healthcare coverage, and employment status by zip code.
Results
We analyzed 2 141 127 SARS-CoV-2 test results, of which 245 154 (11.4%) were positive. Multivariable modeling showed a higher likelihood of SARS-CoV-2 test positivity among Hispanic communities than among other races. We found an increased risk for SARS-CoV-2 positivity among individuals from zip codes with an average annual household income Conclusions
Residence in zip codes with lower average annual household income, lower rates of employment, or lower rates of health insurance was associated with SARS-CoV-2 positivity. Further research is needed into how those factors increase the spread of SARS-CoV-2 infection among populations of lower socioeconomic status in order to develop targeted public health interventions.

Summary

Citations

Citations to this article as recorded by

Occurrence of COVID-19 and serum per- and polyfluoroalkyl substances: A case-control study among workers with a wide range of exposures
Anna K. Porter, Sarah E. Kleinschmidt, Kara L. Andres, Courtney N. Reusch, Ryan M. Krisko, Oyebode A. Taiwo, Geary W. Olsen, Matthew P. Longnecker
Global Epidemiology.2024; 7: 100137. CrossRef
Frontline work and racial disparities in social and economic pandemic stressors during the first COVID‐19 surge
Alein Y. Haro‐Ramos, Timothy T. Brown, Julianna Deardorff, Adrian Aguilera, Keshia M. Pollack Porter, Hector P. Rodriguez
Health Services Research.2023; 58(S2): 186. CrossRef
High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo
Yannick Munyeku-Bazitama, Gervais T. Folefack, Marc K. Yambayamba, Paul M. Tshiminyi, Benito M. Kazenza, John O. Otshudiema, Noe Tondri Guinko, Moreau D. Umba, Anastasie Mulumba, Lionel K. Baketana, Patrick K. Mukadi, Chris Smith, Jean-Jacques Muyembe-Tam
Emerging Infectious Diseases.2023; 29(1): 89. CrossRef
Ethnic inequalities in COVID-19 infection, hospitalisation, intensive care admission, and death: a global systematic review and meta-analysis of over 200 million study participants
Patricia Irizar, Daniel Pan, Dharmi Kapadia, Laia Bécares, Shirley Sze, Harry Taylor, Sarah Amele, Eliud Kibuchi, Pip Divall, Laura J. Gray, Laura B. Nellums, Srinivasa Vittal Katikireddi, Manish Pareek
eClinicalMedicine.2023; 57: 101877. CrossRef
Risk factors for SARS-CoV-2 infection during the early stages of the COVID-19 pandemic: a systematic literature review
Matthew Harris, John Hart, Oashe Bhattacharya, Fiona M. Russell
Frontiers in Public Health.2023;[Epub] CrossRef
Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization
Alessio Gili, Marta Caminiti, Chiara Lupi, Salvatore Zichichi, Ilaria Minicucci, Patrizio Pezzotti, Chiara Primieri, Carla Bietta, Fabrizio Stracci
International Journal of Environmental Research and Public Health.2023; 20(15): 6521. CrossRef
Factors Associated with Self-reported COVID-19 Infection and Hospitalization among Patients Seeking Care at a Comprehensive Cancer Center
Rossybelle P. Amorrortu, Yayi Zhao, Robert J. Keenan, Scott M. Gilbert, Dana E. Rollison
Journal of Racial and Ethnic Health Disparities.2023;[Epub] CrossRef
Factors Associated With Hospitalization Among Breast Cancer Patients With COVID-19: A Diverse Multi-Center Los Angeles Cohort Study
Nikhita Kathuria-Prakash, Lauren Antrim, Nicholas Hornstein, Alexander W. Sun, Irene M. Kang, Nikita V. Baclig, Trevor E. Angell, Melissa G. Lechner, Noah Wald-Dickler, Gino K. In
Clinical Breast Cancer.2022; 22(4): e558. CrossRef
SARS-CoV-2 Transmission and Prevention in the Era of the Delta Variant
Eric A. Meyerowitz, Aaron Richterman
Infectious Disease Clinics of North America.2022; 36(2): 267. CrossRef
Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Seroprevalence in Decedents Undergoing Forensic Postmortem Examination: Feasibility for  Real-Time Pandemic Surveillance
Sally B Coburn, Yukari C Manabe, Oliver Laeyendecker, Susan G Sherman, Owen R Baker, Thomas C Quinn, Lindsey A Graham, F Dennis Thomas, Pamela Southall, Victor W Weedn, Johnathon Ehsani, Ethan Klock, Rong Li, Wendy C Shields, Jeffrey Paul Michael, Ling Li
Open Forum Infectious Diseases.2022;[Epub] CrossRef
Principales modificaciones en la guía de práctica clínica «COVID-19 en pediatría»
Javier González de Dios, Victoria Martínez Rubio, Álvaro Giménez Díaz de Atauri, Carlos Ochoa Sangrador, Enrique Rodríguez-Salinas Pérez, Sergio Flores Villar, Jaime Javier Cuervo Valdés
Anales de Pediatría.2022; 97(2): 129.e1. CrossRef
Main changes in the “COVID-19 in paediatrics” clinical practice guideline
Javier González de Dios, Victoria Martínez Rubio, Álvaro Giménez Díaz de Atauri, Carlos Ochoa Sangrador, Enrique Rodríguez-Salinas Pérez, Sergio Flores Villar, Jaime Javier Cuervo Valdés
Anales de Pediatría (English Edition).2022; 97(2): 129.e1. CrossRef
On the role of financial support programs in mitigating the SARS-CoV-2 spread in Brazil
Vinicius V. L. Albani, Roseane A. S. Albani, Nara Bobko, Eduardo Massad, Jorge P. Zubelli
BMC Public Health.2022;[Epub] CrossRef
Interaction between Older Age and Diabetes on COVID-19 Mortality in a Largely Hispanic US Population
Victor Cardenas, Irma C. Cardenas, Hector I. Ocaranza, Ruth Castillo, Azucena Ortega-Madani, Susana Barrera, Christina Urrea, Angela Mora
SSRN Electronic Journal .2022;[Epub] CrossRef
Reply: Seroprevalence of SARS-CoV-2 After the Largest Initial Epidemic Wave in the United States: Findings from New York City, May 13–July 21, 2020
Lao-Tzu Allan-Blitz, Jeffrey D Klausner
The Journal of Infectious Diseases.2021; 224(3): 556. CrossRef
SARS-CoV-2 Transmission and Prevention in the Era of the Delta Variant
Eric Meyerowitz, Aaron Richterman
SSRN Electronic Journal .2021;[Epub] CrossRef

Original Article

Effects of Socio-demographic Factors on the Decreasing Trend in the Sex Ratio at Birth in Korea, 1997-2017: Jisuk Bae; J Prev Med Public Health. 2020;53(5):371-380. Published online August 7, 2020; DOI: https://doi.org/10.3961/jpmph.20.282

3,116 View
100 Download

Abstract PDF Supplementary Material: Objectives
This study investigated the effects of socio-demographic factors on the decreasing trend in the sex ratio at birth from 1997 to 2017 in Korea.
Methods
Data from 10 349 602 live births registered with Statistics Korea from 1997 to 2017 were analyzed. The secondary sex ratio (SSR), defined as the ratio of male to female live births, during the study period (1997-1999 [phase I], 2000-2002 [phase II], 2003-2005 [phase III], 2006-2008 [phase IV], 2009-2011 [phase V], 2012-2014 [phase VI], and 2015-2017 [phase VII]) was calculated according to selected socio-demographic factors, such as parental age, education, occupation, and birth order. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals for a male birth after adjusting for potential confounders.
Results
The SSR gradually decreased from 1.10 (in 1998-2000 and 2002) to 1.05 (in 2013-2016). While a decreasing trend in the SSR was not noted among first births, male-biased sex ratios were prominent among third and higher-order births, for which the highest SSR was 1.46 in 1998. Higher birth order was significantly associated with an excess of male births in phases I-VI (≥third vs. first, OR range, 1.03 to 1.35). Advanced maternal age was significantly associated with an excess of female births in phases II, III, and V (≥40 vs. 20-24 years, OR range, 0.92 to 0.95).
Conclusions
This study demonstrated that advanced maternal age and reduction of the artificially-biased SSR among third and higher-order births may partially explain the decreasing trend in the SSR from 1997 to 2017 in Korea.; Summary

Brief Report

Life Expectancy and Inequalities Therein by Income From 2016 to 2018 Across the 253 Electoral Constituencies of the National Assembly of the Korea: Jinwook Bahk, Hee-Yeon Kang, Young-Ho Khang; J Prev Med Public Health. 2020;53(2):143-148. Published online March 5, 2020; DOI: https://doi.org/10.3961/jpmph.20.050

3,586 View
143 Download
3 Crossref

Abstract Summary PDF Supplementary Material

Objectives
We calculated life expectancy and inequalities therein by income for the period of 2016-2018 across the 253 electoral constituencies of the 20th National Assembly election in Korea.
Methods
We obtained population and death data between 2016 and 2018 from the National Health Information Database and constructed abridged life tables using standard life table procedures according to gender and income quintiles for the electoral constituencies of the 20th National Assembly election held in 2016.
Results
Life expectancy across the 253 constituencies ranged from 80.51 years to 87.05 years, corresponding to a gap of 6.54 years. The life expectancy difference by income across the 253 constituencies ranged from 2.94 years to 10.67 years. In each province, the difference in life expectancy by income across electoral constituencies was generally greater than the inter-constituency differences. Constituencies in capital and metropolitan areas showed a higher life expectancy and a lower life expectancy difference by income than constituencies in rural areas.
Conclusions
Pro-rich inequalities in life expectancy by income existed in every electoral constituency in Korea. Both intra-constituency and inter-constituency socioeconomic inequalities in health should be highlighted in future policy-making in the National Assembly.

Summary

Korean summary
이 연구는 2016년 치뤄진 제20대 국회의원 선거구 253개에서 2016-2018년의 기대수명을 산출하고, 소득 상위 20%와 소득 하위 20% 간 기대수명 격차를 제시하였다. 연구 결과, 253개 모든 선거구에서 소득 상위 20%가 소득 하위 20%보다 기대수명이 높게 나타났으며, 선거구 내의 소득에 따른 기대수명 격차가 선거구들 간의 기대수명 차이보다 더 큰 경향을 보였다. 기대수명의 선거구 간 격차를 줄이고, 선거구 내의 소득 계층 간 기대수명 격차를 해소하기 위한 입법적 조치를 마련하는 데에 이 연구의 결과가 근거자료로 유용하게 사용되기를 기대한다.

Citations

Citations to this article as recorded by

Spatio-temporal Analysis of District-level Life Expectancy from 2004 to 2017 in Korea
Hwa-Kyung Lim, Hee-Yeon Kang, Ikhan Kim, Young-Ho Khang
Journal of Korean Medical Science.2021;[Epub] CrossRef
Cancer-free Life Expectancy in Small Administrative Areas in South Korea and Its Associations with Regional Health Insurance Premiums
Eunjeong Noh, Hee-Yeon Kang, Jinwook Bahk, Ikhan Kim, Young-Ho Khang
Journal of Korean Medical Science.2021;[Epub] CrossRef
Income-Related Mortality Inequalities and Its Social Factors among Middle-Aged and Older Adults at the District Level in Aging Seoul: An Ecological Study Using Administrative Big Data
Minhye Kim, Suzin You, Jong-sung You, Seung-Yun Kim, Jong Heon Park
International Journal of Environmental Research and Public Health.2021; 19(1): 383. CrossRef

Review

Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review: Chi-Young Lee, Yong-Hwan Lee; J Prev Med Public Health. 2019;52(5):281-291. Published online August 14, 2019; DOI: https://doi.org/10.3961/jpmph.19.094

5,692 View
181 Download
4 Crossref

Abstract PDF

Objectives
The validity of instruments measuring socioeconomic position (SEP) has been a major area of concern in research on cardiovascular health disparities. The purpose of this systematic review is to identify the current status of the methods used to measure SEP in research on cardiovascular health disparities in Korea and to provide directions for future research.
Methods
Relevant articles were obtained through electronic database searches with manual searches of reference lists and no restriction on the date of publication. SEP indicators were categorized into compositional, contextual, composite, and life-course measures.
Results
Forty-eight studies published from 2003 to 2018 satisfied the review criteria. Studies utilizing compositional measures mainly relied on a limited number of SEP parameters. In addition, these measures hardly addressed the time-varying and subjective features of SEP. Finding valid contextual measures at the organizational, community, and societal levels that are appropriate to Korea’s context remains a challenge, and these are rarely modeled simultaneously. Studies have rarely focused on composite and life-course measures.
Conclusions
Future studies should develop and utilize valid compositional and contextual measures and appraise social patterns that vary across time, place, and culture using such measures. Studies should also consider multilevel influences, adding a focus on the interactions between different levels of intertwined SEP factors to advance the design of research. More attention should be given to composite and life-course measures.

Summary

Citations

Citations to this article as recorded by

Differences in office-based personal space perception between British and Korean populations
Mike Richardson, Crescent Jicol, Gerald Taulo, Jaehyun Park, Hyun K. Kim, Michael J. Proulx, Alexandra A. de Sousa
Frontiers in Psychology.2023;[Epub] CrossRef
Self-Reported Dental Caries by Mexican Elementary and Middle-School Schoolchildren in the Context of Socioeconomic Indicators: A National Ecological Study
Juan Fernando Casanova-Rosado, Alejandro José Casanova-Rosado, Mirna Minaya-Sánchez, Juan Alejandro Casanova-Sarmiento, José Luis Robles-Minaya, Sonia Márquez-Rodríguez, Mariana Mora-Acosta, Rosalina Islas-Zarazúa, María de Lourdes Márquez-Corona, Leticia
Children.2021; 8(4): 289. CrossRef
Socioeconomic Classes among Oldest-Old Women in South Korea: A Latent Class Analysis
Chiyoung Lee, Jee-Seon Yi
International Journal of Environmental Research and Public Health.2021; 18(24): 13183. CrossRef
A Two-step Clustering Approach for Measuring Socioeconomic Factors Associated with Cardiovascular Health among Older Adults in South Korea
Chi-Young Lee
Korean Journal of Adult Nursing.2020; 32(6): 551. CrossRef

Original Articles

Measuring and decomposing socioeconomic inequality in catastrophic healthcare expenditures in Iran: Satar Rezaei, Mohammad Hajizadeh; J Prev Med Public Health. 2019;52(4):214-223. Published online June 14, 2019; DOI: https://doi.org/10.3961/jpmph.19.046

6,322 View
215 Download
15 Crossref

Abstract PDF

Objectives
Equity in financial protection against healthcare expenditures is one the primary functions of health systems worldwide. This study aimed to quantify socioeconomic inequality in facing catastrophic healthcare expenditures (CHE) and to identify the main factors contributing to socioeconomic inequality in CHE in Iran.
Methods
A total of 37 860 households were drawn from the Households Income and Expenditure Survey, conducted by the Statistical Center of Iran in 2017. The prevalence of CHE was measured using a cut-off of spending at least 40% of the capacity to pay on healthcare services. The concentration curve and concentration index (C) were used to illustrate and measure the extent of socioeconomic inequality in CHE among Iranian households. The C was decomposed to identify the main factors explaining the observed socioeconomic inequality in CHE in Iran.
Results
The prevalence of CHE among Iranian households in 2017 was 5.26% (95% confidence interval [CI], 5.04 to 5.49). The value of C was -0.17 (95% CI, -0.19 to -0.13), suggesting that CHE was mainly concentrated among socioeconomically disadvantaged households in Iran. The decomposition analysis highlighted the household wealth index as explaining 71.7% of the concentration of CHE among the poor in Iran.
Conclusions
This study revealed that CHE is disproportionately concentrated among poor households in Iran. Health policies to reduce socioeconomic inequality in facing CHE in Iran should focus on socioeconomically disadvantaged households.

Summary

Citations

Citations to this article as recorded by

Prevalence and Determinants of Catastrophic Healthcare Expenditures in Iran From 2013 to 2019
Abdoreza mousavi, Farhad lotfi, Samira Alipour, Aliakbar Fazaeli, Mohsen Bayati
Journal of Preventive Medicine and Public Health.2024; 57(1): 65. CrossRef
Examining the level and distribution of catastrophic health expenditure from 2013 to 2018: A province-level study in China
Mingsheng Chen, Lizheng Xu, Lei Si, Zhonghua Wang, Stephen Jan
Economic Modelling.2023; 121: 106233. CrossRef
Equity and extent of financial risk protection indicators during COVID-19 pandemic in rural part of Tamil Nadu, India
Yuvaraj Krishnamoorthy, Sathish Rajaa, Isha Sinha, Murali Krishnan, Gerald Samuel, Krishna Kanth
Heliyon.2023; 9(8): e18902. CrossRef
Catastrophic household expenditure associated with out-of-pocket payments for dental healthcare in Spain
Samuel López-López, Raúl del Pozo-Rubio, Marta Ortega-Ortega, Francisco Escribano-Sotos
The European Journal of Health Economics.2022; 23(7): 1187. CrossRef
User fee removal for the poor: a qualitative study to explore policies for social health assistance in Iran
Manal Etemadi, Mohammad Hajizadeh
BMC Health Services Research.2022;[Epub] CrossRef
A 25-Year Trend of Catastrophic Health Expenditure and Its Inequality in China: Evidence from Longitudinal Data
Yongjian Xu, Yiting Zhou, Andi Pramono, Yazhuo Liu, Cong Jia
Risk Management and Healthcare Policy.2022; Volume 15: 969. CrossRef
Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran
Farhad Pourfarzi, Telma Zahirian Moghadam, Hamed Zandian
Journal of Preventive Medicine and Public Health.2022; 55(3): 297. CrossRef
Financial risk protection from out-of-pocket health spending in low- and middle-income countries: a scoping review of the literature
Taslima Rahman, Dominic Gasbarro, Khurshid Alam
Health Research Policy and Systems.2022;[Epub] CrossRef
Incidence of catastrophic healthcare expenditure and its main determinants in Mexican households caring for a person with a mental disorder
Lina Diaz-Castro, Héctor Cabello-Rangel, Carlos Pineda-Antúnez, Alejandra Pérez de León
Global Mental Health.2021;[Epub] CrossRef
Unmet dental care need in West of Iran: determinants and inequality
Amjad Mohamadi-Bolbanabad, Farman Zahir Abdullah, Hossein Safari, Satar Rezaei, Abdorrahim Afkhamzadeh, Shina Amirhosseini, Afshin Shadi, Jamal Mahmoudpour, Bakhtiar Piroozi
International Journal of Human Rights in Healthcare.2021; 14(5): 426. CrossRef
The impact of out-of pocket payments of households for dental healthcare services on catastrophic healthcare expenditure in Iran
Abraha Woldemichael, Satar Rezaei, Ali Kazemi Karyani, Mohammad Ebrahimi, Shahin Soltani, Abbas Aghaei
BMC Public Health.2021;[Epub] CrossRef
Measuring Out-of-pocket Payment, Catastrophic Health Expenditure and the Related Socioeconomic Inequality in Peru: A Comparison Between 2008 and 2017
Akram Hernández-Vásquez, Carlos Rojas-Roque, Rodrigo Vargas-Fernández, Diego Rosselli
Journal of Preventive Medicine and Public Health.2020; 53(4): 266. CrossRef
Incidence and Intensity of Catastrophic Health-care Expenditure for Type 2 Diabetes Mellitus Care in Iran: Determinants and Inequality

Bakhtiar Piroozi, Amjad Mohamadi-Bolbanabad, Ghobad Moradi, Hossein Safari, Shahnaz Ghafoori, Yadolah Zarezade, Farzam Bidarpour, Satar Rezaei
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 2865. CrossRef
Trend and status of out-of-pocket payments for healthcare in Iran: equity and catastrophic effect
Satar Rezaei, Abraha Woldemichael, Mohammad Ebrahimi, Sina Ahmadi
Journal of the Egyptian Public Health Association.2020;[Epub] CrossRef
Catastrophic Out-of-Pocket Health Expenditure Among Rural Households in the Semi-Pastoral Community, Western Ethiopia: A Community-Based Cross-Sectional Study
Debelo Shikuro, Mezgebu Yitayal, Adane Kebede, Ayal Debie
ClinicoEconomics and Outcomes Research.2020; Volume 12: 761. CrossRef

Trends in Inequality in Cigarette Smoking Prevalence by Income According to Recent Anti-smoking Policies in Korea: Use of Three National Surveys: Youngs Chang, Sanghyun Cho, Ikhan Kim, Jinwook Bahk, Young-Ho Khang; J Prev Med Public Health. 2018;51(6):310-319. Published online October 30, 2018; DOI: https://doi.org/10.3961/jpmph.18.225

7,524 View
150 Download
9 Crossref

Abstract PDF Supplementary Material

Objectives
This study examined trends in inequality in cigarette smoking prevalence by income according to recent anti-smoking policies in Korea.
Methods
The data used in this study were drawn from three nationally representative surveys, the Korea National Health and Nutrition Examination Survey, the Korea Community Health Survey, and the Social Survey of Statistics Korea. We calculated the age-standardized smoking prevalence, the slope index of inequality, and the relative index of inequality by income level as a socioeconomic position indicator.
Results
Smoking prevalence among men decreased during the study period, but the downward trend became especially pronounced in 2015, when the tobacco price was substantially increased. Inequalities in cigarette smoking by income were evident in both genders over the study period in all three national surveys examined. Absolute inequality tended to decrease between 2014 and 2015 among men. Absolute and relative inequality by income decreased between 2008 and 2016 in women aged 30-59, except between 2014 and 2015.
Conclusions
The recent anti-smoking policies in Korea resulted in a downward trend in smoking prevalence among men, but not in relative inequality, throughout the study period. Absolute inequality decreased over the study period among men aged 30-59. A more aggressive tax policy is warranted to further reduce socioeconomic inequalities in smoking in young adults in Korea.

Summary

Citations

Citations to this article as recorded by

Area Specific Gap in Current Male Smoking and Factors Associated with a Secondary Data Analysis Based on a Socio-Ecological Model
Soo Kyung Jeong, Gye Ae Kim, Min Kyung Lim, Youn Hee Kim, Cho Hee Choi, Sang Mi Lee, Hun Jae Lee
Journal of the Korean Society for Research on Nicotine and Tobacco.2022; 13(1): 20. CrossRef
Current Use of Heated Tobacco Products and Its Association with Socioeconomic Factors in Korean Adults: A Study Using Community Health Survey 2019
Sung Yeol Son, Seo Young Kang, Hong-Jun Cho
Journal of the Korean Society for Research on Nicotine and Tobacco.2022; 13(4): 140. CrossRef
Trends in Alcohol Consumption for Korean Adults from 1998 to 2018: Korea National Health and Nutritional Examination Survey
Sang Young Kim, Hyun Ja Kim
Nutrients.2021; 13(2): 609. CrossRef
Tobacco price increases in Korea and their impact on socioeconomic inequalities in smoking and subsequent socioeconomic inequalities in mortality: a modelling study
Hwa-Kyung Lim, Young-Ho Khang
Tobacco Control.2021; 30(2): 160. CrossRef
Age- and cause-specific contributions to the life expectancy gap between Medical Aid recipients and National Health Insurance beneficiaries in Korea, 2008–2017
Jinwook Bahk, Hee-Yeon Kang, Young-Ho Khang, Fernando A. Wilson
PLOS ONE.2020; 15(11): e0241755. CrossRef
A Multi-Disciplinary Study Into the Drivers of Smoking Cessation in South Korea
James E. Prieger, Anna Choi
SSRN Electronic Journal.2020;[Epub] CrossRef
Investigating the Drivers of Smoking Cessation: A Role of Alternative Nicotine Delivery Systems?
Sam Hampsher, James E. Prieger
SSRN Electronic Journal .2020;[Epub] CrossRef
Long-term trends in smoking prevalence and its socioeconomic inequalities in Korea, 1992–2016
Youngs Chang, Hee-Yeon Kang, Dohee Lim, Hong-Jun Cho, Young-Ho Khang
International Journal for Equity in Health.2019;[Epub] CrossRef
Socioeconomic Inequalities in e-Cigarette Use in Korea: Comparison with Inequalities in Conventional Cigarette Use Using Two National Surveys
Youngs Chang, Sanghyun Cho, Ikhan Kim, Young-Ho Khang
International Journal of Environmental Research and Public Health.2019; 16(22): 4458. CrossRef

Measuring and Decomposing Socioeconomic Inequalities in Adult Obesity in Western Iran: Farid Najafi, Yahya Pasdar, Behrooz Hamzeh, Satar Rezaei, Mehdi Moradi Nazar, Moslem Soofi; J Prev Med Public Health. 2018;51(6):289-297. Published online October 29, 2018; DOI: https://doi.org/10.3961/jpmph.18.062

6,457 View
176 Download
14 Crossref

Abstract PDF

Objectives
Obesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran.
Methods
A total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ≥30 kg/m2 . The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity.
Results
Overall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity.
Conclusions
Socioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.

Summary

Citations

Citations to this article as recorded by

Worse becomes the worst: obesity inequality, its determinants and policy options in Iran
Fatemeh Toorang, Parisa Amiri, Abolghassem Djazayery, Hamed Pouraram, Amirhossein Takian
Frontiers in Public Health.2024;[Epub] CrossRef
Socioeconomic inequality and urban-rural disparity of antenatal care visits in Bangladesh: A trend and decomposition analysis
Biplab Biswas, Nishith Kumar, Md. Matiur Rahaman, Sukanta Das, Md. Aminul Hoque, Benojir Ahammed
PLOS ONE.2024; 19(3): e0301106. CrossRef
Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran
Moslem Soofi, Farid Najafi, Shahin Soltani, Behzad Karamimatin
Journal of Preventive Medicine and Public Health.2023; 56(1): 50. CrossRef
Prevalence of overweight and obesity among Iranian population: a systematic review and meta-analysis
Behnaz Abiri, Amirhossein Ramezani Ahmadi, Shirin Amini, Mojtaba Akbari, Farhad Hosseinpanah, Seyed Ataollah Madinehzad, Mahdi Hejazi, Amirreza Pouladi Rishehri, Alvand Naserghandi, Majid Valizadeh
Journal of Health, Population and Nutrition.2023;[Epub] CrossRef
Association of a pro-inflammatory diet with type 2 diabetes and hypertension: results from the Ravansar non-communicable diseases cohort study
Samira Arbabi Jam, Shahab Rezaeian, Farid Najafi, Behrooz Hamzeh, Ebrahim Shakiba, Mehdi Moradinazar, Mitra Darbandi, Fatemeh Hichi, Sareh Eghtesad, Yahya Pasdar
Archives of Public Health.2022;[Epub] CrossRef
Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran
Farhad Pourfarzi, Telma Zahirian Moghadam, Hamed Zandian
Journal of Preventive Medicine and Public Health.2022; 55(3): 297. CrossRef
The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults
Farhad Pourfarzi, Satar Rezaei, Telma Zahirian Moghadam, Hamed Zandian, Foad Dibazar
BMC Endocrine Disorders.2022;[Epub] CrossRef
Assessing the income-related inequality in obesity among the elderly in China: A decomposition analysis
Jinpeng Xu, Guomei Tian, Ting Zhang, Hongyu Zhang, Jian Liu, Qi Shi, Jiale Sun, Haixin Wang, Bokai Zhang, Qunhong Wu, Zheng Kang
Frontiers in Public Health.2022;[Epub] CrossRef
Socioeconomic disparities in using rehabilitation services among Iranian adults with disabilities: a decomposition analysis
Shahin Soltani, Marzieh Mohammadi Moghadam, Shiva Amani, Shahram Akbari, Amir Shiani, Moslem Soofi
BMC Health Services Research.2022;[Epub] CrossRef
Establishing hematological reference intervals in healthy adults: Ravansar non‐communicable disease cohort study, Iran
Mehdi Moradinazar, Farid Najafi, Yahya Pasdar, Behrooz Hamzeh, Ebrahim Shakiba, Mary Kathryn Bohn, Khosrow Adeli, Zohreh Rahimi
International Journal of Laboratory Hematology.2021; 43(2): 199. CrossRef
Socioeconomic - related inequalities in overweight and obesity: findings from the PERSIAN cohort study
Farid Najafi, Shahin Soltani, Behzad Karami Matin, Ali Kazemi Karyani, Satar Rezaei, Moslem Soofi, Yahya Salimi, Mehdi Moradinazar, Mohammad Hajizadeh, Loghman Barzegar, Yahya Pasdar, Behrooz Hamzeh, Ali Akbar Haghdoost, Reza Malekzadeh, Hossein Poustchi,
BMC Public Health.2020;[Epub] CrossRef
Association of all forms of malnutrition and socioeconomic status, educational level and ethnicity in Colombian children and non-pregnant women
Gustavo Cediel, Eliana Perez, Diego Gaitán, Olga L Sarmiento, Laura Gonzalez
Public Health Nutrition.2020; 23(S1): s51. CrossRef
Türkiye’de Kadınlarda Obezite Üzerine Sosyoekonomik Faktörlerin Etkisi ve Gelir Eşitsizliği
Banu BEYAZ SİPAHİ
Gaziantep University Journal of Social Sciences.2020;[Epub] CrossRef
Socioeconomic inequalities in obesity in Brazil
Lívia Madeira Triaca, Anderson Moreira Aristides dos Santos, Cesar Augusto Oviedo Tejada
Economics & Human Biology.2020; 39: 100906. CrossRef

What Explains Socioeconomic Inequality in Health-related Quality of Life in Iran? A Blinder-Oaxaca Decomposition: Satar Rezaei, Mohammad Hajizadeh, Yahya Salimi, Ghobad Moradi, Bijan Nouri; J Prev Med Public Health. 2018;51(5):219-226. Published online August 7, 2018; DOI: https://doi.org/10.3961/jpmph.18.012

6,114 View
207 Download
3 Crossref

Abstract PDF

Objectives
This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran.
Methods
This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups.
Results
The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect.
Conclusions
We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.

Summary

Citations

Citations to this article as recorded by

Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study
Sulmaz Ghahramani, Maryam Hadipour, Payam Peymani, Sahar Ghahramani, KamranB Lankarani
Journal of Education and Health Promotion.2023; 12(1): 287. CrossRef
What explains the large disparity in child stunting in the Philippines? A decomposition analysis
Valerie Gilbert T Ulep, Jhanna Uy, Lyle Daryll Casas
Public Health Nutrition.2022; 25(11): 2995. CrossRef
Health-related quality of life by household income in Chile: a concentration index decomposition analysis
Rodrigo Severino, Manuel Espinoza, Báltica Cabieses
International Journal for Equity in Health.2022;[Epub] CrossRef

Factors Associated With Subjective Life Expectancy: Comparison With Actuarial Life Expectancy: Jaekyoung Bae, Yeon-Yong Kim, Jin-Seok Lee; J Prev Med Public Health. 2017;50(4):240-250. Published online June 27, 2017; DOI: https://doi.org/10.3961/jpmph.17.036

7,916 View
167 Download
13 Crossref

Abstract PDF

Objectives
Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. Methods: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. Results: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. Conclusions: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.

Summary

Citations

Citations to this article as recorded by

Sleep duration and all-cause mortality among stroke survivors
Wendemi Sawadogo, Tilahun Adera, James B. Burch, Maha Alattar, Robert Perera, Virginia J. Howard
Journal of Stroke and Cerebrovascular Diseases.2024; 33(4): 107615. CrossRef
Interaction between self-perceived disease control and self-management behaviours among Chinese middle-aged and older hypertensive patients: the role of subjective life expectancy
Jiao Lu, Linhui Liu, Jiaming Zheng, Zhongliang Zhou
BMC Public Health.2022;[Epub] CrossRef
Associations between existing and newly diagnosed chronic health conditions and change in subjective life expectancy: Results from a panel study
Anushiya Vanajan, Catalin Gherdan
SSM - Population Health.2022; 20: 101271. CrossRef
Segmentation and estimation of claim severity in motor third-party liability insurance through contrast analysis
Marian Reiff, Erik Šoltés, Silvia Komara, Tatiana Šoltésová, Silvia Zelinová
Equilibrium. Quarterly Journal of Economics and Economic Policy.2022; 17(3): 803. CrossRef
Accelerated senescence as a cost of reproduction: Testing associations between oxidative stress and reproductive effort in rural and urban women
Amelia Sancilio, Grazyna Jasienska, Catherine Panter‐Brick, Anna Ziomkiewicz, Ilona Nenko, Richard G. Bribiescas
American Journal of Human Biology.2021;[Epub] CrossRef
Subjective life expectancy in transition: a longitudinal study of Korean baby boomers
Jeong-Hwa Ho
Asian Population Studies.2021; 17(2): 148. CrossRef
Sex, rurality and socioeconomical status in Spanish centennial population (2017)
Pedro Fuentes, Sandra Amador, Ana Maria Lucas-Ochoa, Lorena Cuenca-Bermejo, Emiliano Fernández-Villalba, Valeria Raparelli, Colleen Norris, Alexandra Kautzky-Willer, Karolina Kublickiene, Louise Pilote, María Trinidad Herrero
Aging.2021; 13(18): 22059. CrossRef
Stress and subjective life expectancy: Cross‐sectional and longitudinal associations in early adolescence
Michael T. McKay, James R. Andretta, Noah R. Padgett, Jon C. Cole
International Journal of Psychology.2020; 55(6): 901. CrossRef
Endovascular abdominal aortic aneurysm repair in a centenarian
Kirthi S. Bellamkonda, Tanner Kim, Ronnie Rosenthal, Alan Dardik, Naiem Nassiri
Journal of Vascular Surgery Cases, Innovations and Techniques.2020; 6(3): 361. CrossRef
Self-assessed life expectancy among older adults in Côte d’Ivoire
Richard K. Moussa, Vakaramoko Diaby
BMC Public Health.2020;[Epub] CrossRef
Aging and immunotherapies: New horizons for the golden ages
Jamie A.G. Hamilton, Curtis J. Henry
Aging and Cancer.2020; 1(1-4): 30. CrossRef
Establishment of Normative Self-Rated Health Status Data and Association between Ideal Life Expectancy and Social Wellness of General Population in Korea
Jihye Lee, Jin-Ah Sim, Ji-Won Kim, Young Ho Yun
Asian Nursing Research.2019; 13(2): 99. CrossRef
Levels of Health and Subjective Life Expectancy among Community-dwelling Elders in Korea
Ji Yeon An
Journal of Korean Gerontological Nursing.2018; 20(1): 22. CrossRef

Socioeconomic Inequality in Malnutrition in Under-5 Children in Iran: Evidence From the Multiple Indicator Demographic and Health Survey, 2010: Abdollah Almasian Kia, Aziz Rezapour, Ardeshir Khosravi, Vajiheh Afzali Abarghouei; J Prev Med Public Health. 2017;50(3):201-209. Published online May 10, 2017; DOI: https://doi.org/10.3961/jpmph.17.028

8,223 View
273 Download
14 Crossref

Abstract PDF

Objectives
The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality.
Methods
Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural) and the sex of children.
Results
Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children’s sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant.
Conclusions
This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.

Summary

Citations

Citations to this article as recorded by

Prediction and analysis of trends in the nutritional status of children under 5 years in Iran: reanalysis of the results of national surveys conducted between 1998 and 2020
Delaram Ghodsi, Hamid Rasekhi, Zahra Yari, Roshanak Roustaee, Bahereh Nikooyeh, Ayoub Faramarzi, Hassan Eini-Zinab, Tirang R. Neyestani
Frontiers in Nutrition.2023;[Epub] CrossRef
Improvement in Anthropometric Measurements of Malnourished Children by Means of Complementary Food and Nutritional Education in Fars Province, Iran: A Community-Based Intervention
Razieh Shenavar, Seyedeh Forough Sajjadi, Azam Farmani, Mina Zarmehrparirouy, Leila Azadbakht
Frontiers in Nutrition.2022;[Epub] CrossRef
Factor associated with anthropometric failure among under-five Bengali children: A comparative study between Bangladesh and India
Ramendra Nath Kundu, Md. Golam Hossain, Md. Ahshanul Haque, Subir Biswas, Md. Monimul Huq, Md. Kamal Pasa, Md. Sabiruzzaman, Premananda Bharati, Lai Kuan Lee
PLOS ONE.2022; 17(8): e0272634. CrossRef
Breastfeeding Practices, Infant Formula Use, Complementary Feeding and Childhood Malnutrition: An Updated Overview of the Eastern Mediterranean Landscape
Carla Ibrahim, Khlood Bookari, Yonna Sacre, Lara Hanna-Wakim, Maha Hoteit
Nutrients.2022; 14(19): 4201. CrossRef
Trends in inequalities in childhood stunting in Ethiopia from 2000 to 2016: a cross sectional study
Betregiorgis Zegeye, Gebretsadik Shibre, Dina Idriss-Wheeler, Sanni Yaya
Journal of Public Health.2021; 43(3): 655. CrossRef
Relationship of Malnutrition in Children with Food and Nutrition Insecurity in Fars Province, Iran
Razieh Shenavar, Mohsen Moghaddami, Soheila Shaghaghian, Mohsen Ali Akbarpoor, Mansore Nowrospour, Mahdieh Farid
Shiraz E-Medical Journal.2021;[Epub] CrossRef
Economic inequality in malnutrition: a global systematic review and meta-analysis
Rotimi Alao, Hayaan Nur, Emily Fivian, Bhavani Shankar, Suneetha Kadiyala, Helen Harris-Fry
BMJ Global Health.2021; 6(12): e006906. CrossRef
The prevalence of stunting among children and adolescents living in the Middle East and North Africa region (MENA): A systematic review and meta-analysis
Hassan Joulaei, Parisa Keshani, Mahkameh Ashourpour, Peyman Bemani, Sanaz Amiri, Jamileh Rahimi, Mohsen Aliakbarpour, Amin Salehi-Abargouei
Journal of Global Health.2021;[Epub] CrossRef
Prevalence and risk factors of childhood hypertension from birth through childhood: a retrospective cohort study
Xiaohua Liang, Lun Xiao, Yetao Luo, Jiapei Xu
Journal of Human Hypertension.2020; 34(2): 151. CrossRef
Smartphone-Based Maternal Education for the Complementary Feeding of Undernourished Children Under 3 Years of Age in Food-Secure Communities: Randomised Controlled Trial in Urmia, Iran
Navisa Seyyedi, Bahlol Rahimi, Hamid Reza Farrokh Eslamlou, Hadi Lotfnezhad Afshar, Armin Spreco, Toomas Timpka
Nutrients.2020; 12(2): 587. CrossRef
Effect of a newly developed ready-to-use supplementary food on growth indicators in children with mild to moderate malnutrition
F. Azimi, A. Esmaillzadeh, E. Alipoor, M. Moslemi, M. Yaseri, M.J. Hosseinzadeh-Attar
Public Health.2020; 185: 290. CrossRef
Measurement components of socioeconomic status in health-related studies in Iran
Sediqe Shafiei, Shahram Yazdani, Mohammad-Pooyan Jadidfard, A. Hamid Zafarmand
BMC Research Notes.2019;[Epub] CrossRef
Determinants of stunting among under-five children in Ethiopia: a multilevel mixed-effects analysis of 2016 Ethiopian demographic and health survey data
K. Fantay Gebru, W. Mekonnen Haileselassie, A. Haftom Temesgen, A. Oumer Seid, B. Afework Mulugeta
BMC Pediatrics.2019;[Epub] CrossRef
Prevalence of underweight and wasting in Iranian children aged below 5 years: a systematic review and meta-analysis
Yousef Moradi, Fatemeh Khosravi Shadmani, Kamyar Mansori, Shiva Mansouri Hanis, Rozhin Khateri, Hossein Mirzaei
Korean Journal of Pediatrics.2018; 61(8): 231. CrossRef

First
Prev
Page of 3
Next
Last

Search