Evidence map›Paper›PMID 37798385›Full record

ArticleGeroScience2024

Comparative analysis of health status and health service utilization patterns among rural and urban elderly populations in Hungary: a study on the challenges of unhealthy aging.

Nora Kovacs, Peter Piko, Attila Juhasz, Csilla Nagy, Beatrix Oroszi, Zoltan Ungvari, Roza Adany

Abstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Child- versus adult-perspective composite time trade-off valuations for the EQ-5D-Y-3L: evidence from the Hungarian valuation study.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nora KovacsDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Peter PikoDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Attila JuhaszCenter for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary.
Csilla NagyCenter for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary.
Beatrix OrosziCenter for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University, Budapest, Hungary.
Zoltan UngvariVascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Roza AdanyDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. adany.roza@semmelweis.hu.

Funding

Eötvös Loránd Research Network TKCS-2021/32European Regional Development Fund GINOP-2.3.2-15-2016-00005Magyar Tudományos Akadémia TK2016-78National Research, Development and Innovation Office RRF-2.3.1-21-2022-00003National Research, Development and Innovation Office RRF-2.3.1-21-2022-00006Nemzeti Kutatási, Fejlesztési és Innovaciós Alap K_20 - project No. 135784Nemzeti Kutatási, Fejlesztési és Innovaciós Alap TKP2021-NKTA-47Nemzeti Kutatási, Fejlesztési és Innovaciós Alap ÚNKP-22-4-II-DE-268
6 · The paper itself

Abstract

The demographic transition poses a significant challenge for health systems, especially in Central and Eastern European (CEE) countries, where the healthcare needs of aging populations are on the rise. This study aimed to describe and compare the health status and utilization of health services among the elderly residing in urban and rural areas of the most deprived region in Hungary. A comprehensive health survey was conducted in 2022, involving a randomly selected sample of 443 older adults (≥ 65 years) in Northeast Hungary. Multivariable logistic regression models adjusting for age, sex, education, financial status, chronic diseases, and activity limitations were used to investigate the association between type of residence and health service use. Among the study participants, 62.3% were female, 38.3% attained primary education, 12.5% reported a bad or very bad financial situation and 52.6% lived in urban areas. Overall, 24% of the elderly rated their health as very good or good (27.8% in urban and 19.7% in rural areas), while 57.8% (52.6% and 63.5% in urban and rural areas) reported limitations in daily activities. Compared to urban residents, rural residents reported lower rates of dentist visits (p = 0.006), specialist visits (p = 0.028), faecal occult blood testing (p < 0.001), colorectal cancer screening with colonoscopy (p = 0.014), and breast cancer screening (p = 0.035), and a higher rate of blood pressure measurement (p = 0.042). Multivariable models indicated that urban residence was positively associated with faecal occult blood testing (OR = 2.32, p = 0.014), but negatively associated with blood pressure (OR = 0.42, p = 0.017) and blood glucose measurements (OR = 0.48, p = 0.009). These findings highlight the influence of residence on health service utilization among older adults in Hungary. Further comprehensive studies are needed to better understand the health needs of the elderly population and to develop policies aimed at promoting healthy aging in CEE countries.

Indexed as

Health ServicesPatient Acceptance of Health CareAgedFemaleHealth StatusHumansHungaryMaleUrban PopulationCentral and Eastern Europe (CEE)Older adultsPlace of residencePopulation ageingPreventive services

Identifiers

PMID37798385
PMCPMC10828334

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.