Evidence map›Paper›PMID 40405150›Full record

ArticleBMC public health2025

National cultural characteristics as defined by Hofstede's dimensions and their associations with population health.

Radka Zidkova, Jana Furstova, Klara Malinakova, Jitse P van Dijk, Peter Tavel, Gabriel Gulis

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
  2. Domain-specific discounting of health and money: implications for health technology assessment.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Radka ZidkovaOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic. r.zidkova@rug.nl.
Jana FurstovaOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic.
Klara MalinakovaOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic.
Jitse P van DijkOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic.
Peter TavelOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic.
Gabriel GulisOUSHI - Olomouc University Social Health Institute, Palacký University Olomouc, Univerzitni 244/22, Olomouc, 771 11, Czech Republic.

Funding

ERDF/ESF CZ.02.01.01/00/22_008/0004587Univerzita Palackého v Olomouci IGA_CMTF_2025_006
6 · The paper itself

Abstract

backgroundUnderstanding population health trends and their key determinants is essential for planning health services and implementing effective interventions. One of these determinants may be national cultural characteristics that are related to various health outcomes and health-related behaviours. However, little is known about their potential association to overall burden of disease. Thus, this study examined whether cultural characteristics expressed by Hofstede indexes are associated with the burden of disease.

methodsWe used data from open-source databases - Hofstede's Cultural Index, the Global Burden of Diseases (GBD) and the Human Development Index (HDI). The final sample comprised 69 countries covering all the continents. The burden of disease was measured using disability-adjusted life years (DALYs), years lived with disabilities (YLD), and years of life lost (YLL). National cultural characteristics were measured using Hofstede's dimensions. Bayesian correlation analyses were conducted to assess the relationships between cultural dimensions and health outcomes, stratified by countries' HDI levels.

resultsIn countries with a very high HDI, there was strong evidence (Bayes Factor > 10) of a positive correlation of Power distance with the total disability-adjusted life years (r = 0.448) and years of life lost (r = 0.528), and Individualism (r = 0.667) and Indulgence (r = 0.494) with years lived with disabilities. In contrast, Long-term orientation negatively correlated of with years lived with disabilities (r = -0.527) and Indulgence with disability-adjusted life years (r = -0.437) and years of life lost (r = -0.537). Further, Power distance and Indulgence were correlated with the majority of the GBD indicators and Individualism with a few GBD indicators. In countries with a high and medium HDI, strong evidence of the associations was found in only a few cases.

conclusionWe found a correlation between national cultural characteristics and burden of disease. Policy-makers should consider integrating cultural factors into public health strategies to better align healthcare interventions with the local population's values and behaviours. Moreover, cross-cultural research and collaboration should increase to understand how cultural influences can be used to mitigate disease burdens and improve health outcomes globally. This study also opens a potentially new research area within population health research.

Indexed as

Cost of IllnessCultural CharacteristicsGlobal Burden of DiseasePopulation HealthBayes TheoremDisability-Adjusted Life YearsHumansBurden of diseaseCultural characteristicsHofstede’s indexPopulation health

Identifiers

PMID40405150
PMCPMC12096614

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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.