Evidence map›Paper›PMID 39177904›Full record

ArticleResearch in health services & regions2022

The association between social development and population health: a cross-sectional study across countries of different economic growth.

Nikolaos Kontodimopoulos

Abstract read
In one paragraph

Article in Research in health services & regions, 2022. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

1 author.

Nikolaos KontodimopoulosFaculty of Social Sciences, Hellenic Open University, Parodos Aristotelous 18, 26335, Patras, Greece. nkontodi@otenet.gr.ORCID http://orcid.org/0000-0003-4590-6634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial Determinants of Health (SDH) are important in explaining why some countries enjoy better health than others. This empirical study highlights controversies in the literature on the relationship between socioeconomic development and health, and investigates how the relationship might vary in countries with different economic growth.

methodsThe sample consists of 172 countries, and recent cross-sectional data was collected from the World Bank's "Data Bank". Population health was proxied with life expectancy, infant mortality and under-five mortality, and sociooeconomic conditions were expressed with GNI/capita, unemployment rate, poverty, Gini index, educational attainment, public spending on health and physician density. Countries were categorized into three groups as low / lower middle-, upper middle- and high-income according to World Bank thresholds. Ordinary least squares regression was used to model the relationships.

resultsThe association between socioeconomic conditions and health differed between countries of different economic development. Poverty, educational attainment, income inequality, and physician density were the strongest contributors to health. Higher economic development had a stronger relationship with health in richer countries, and government commitment to health care in poorer ones.

conclusionBased on evidence from studies such as this one, researchers and policymakers globally could commit to acting together on SDH, and to aligning resources from different sectors to formulate interventions aiming to improve population health.

Indexed as

Health inequitiesHealth policyNational incomePopulation healthSocial determinants of healthSocioeconomic status

Identifiers

PMID39177904
PMCPMC11264875

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.