Evidence map›Paper›PMID 34987823›Full record

ArticleEvolution, medicine, and public health2021

Socioeconomic status effects on health vary between rural and urban Turkana.

Amanda J Lea, Charles Waigwa, Benjamin Muhoya, Francis Lotukoi, Julie Peng, Lucas P Henry, Varada Abhyankar, Joseph Kamau, Dino Martins, Michael Gurven and 1 more

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Shuar Health and Life History Project: Overview at 20 Years and Introduction to the Special Issue.American journal of human biology : the official journal of the Human Biology Council · 2026
    Article
  5. Article
  6. Article
  7. Built environment and childhood obesity.World journal of clinical pediatrics · 2024
    Review
  8. Article
  9. How market integration impacts human disease ecology.Evolution, medicine, and public health · 2024
    Article
  10. Article
  11. Wealth, health and inequality in Agta foragers.Evolution, medicine, and public health · 2023
    Article
  12. Article
  13. 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

11 authors.

Amanda J LeaDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.ORCID https://orcid.org/0000-0002-8827-2750
Charles WaigwaMpala Research Centre, Nanyuki, Kenya.
Benjamin MuhoyaDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Francis LotukoiMpala Research Centre, Nanyuki, Kenya.
Julie PengDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Lucas P HenryDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Varada AbhyankarDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Joseph KamauDepartment of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya.
Dino MartinsDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.
Michael GurvenDepartment of Anthropology, University of California: Santa Barbara, Santa Barbara, CA, USA.ORCID https://orcid.org/0000-0002-5661-527X
Julien F AyrolesDepartment of Ecology and Evolution, Princeton University, Princeton, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesUnderstanding the social determinants of health is a major goal in evolutionary biology and human health research. Low socioeconomic status (often operationalized as absolute material wealth) is consistently associated with chronic stress, poor health and premature death in high-income countries. However, the degree to which wealth gradients in health are universal-or are instead made even steeper under contemporary, post-industrial conditions-remains poorly understood. METHODOLOGY: We quantified absolute material wealth and several health outcomes among a population of traditional pastoralists, the Turkana of northwest Kenya, who are currently transitioning toward a more urban, market-integrated lifestyle. We assessed whether wealth associations with health differed in subsistence-level versus urban contexts. We also explored the causes and consequences of wealth-health associations by measuring serum cortisol, potential sociobehavioral mediators in early life and adulthood, and adult reproductive success (number of surviving offspring).

resultsHigher socioeconomic status and greater material wealth predicts better self-reported health and more offspring in traditional pastoralist Turkana, but worse cardiometabolic health and fewer offspring in urban Turkana. We do not find robust evidence for either direct biological mediators (cortisol) or indirect sociobehavioral mediators (e.g. adult diet or health behaviors, early life experiences) of wealth-health relationships in either context. CONCLUSIONS AND IMPLICATIONS: While social gradients in health are well-established in humans and animals across a variety of socioecological contexts, we show that the relationship between wealth and health can vary within a single population. Our findings emphasize that changes in economic and societal circumstances may directly alter how, why and under what conditions socioeconomic status predicts health. LAY SUMMARY: High socioeconomic status predicts better health and more offspring in traditional Turkana pastoralists, but worse health and fewer offspring in individuals of the same group living in urban areas. Together, our study shows that under different economic and societal circumstances, wealth effects on health may manifest in very different ways.

Indexed as

early life adversitypastoralismsocial gradients in healthsocioeconomic statusTurkana

Identifiers

PMID34987823
PMCPMC8697843

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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.