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      Do wealth and inequality associate with health in a small-scale subsistence society?

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          Abstract

          In high-income countries, one’s relative socio-economic position and economic inequality may affect health and well-being, arguably via psychosocial stress. We tested this in a small-scale subsistence society, the Tsimane, by associating relative household wealth (n = 871) and community-level wealth inequality (n = 40, Gini = 0.15–0.53) with a range of psychological variables, stressors, and health outcomes (depressive symptoms [n = 670], social conflicts [n = 401], non-social problems [n = 398], social support [n = 399], cortisol [n = 811], body mass index [n = 9,926], blood pressure [n = 3,195], self-rated health [n = 2523], morbidities [n = 1542]) controlling for community-average wealth, age, sex, household size, community size, and distance to markets. Wealthier people largely had better outcomes while inequality associated with more respiratory disease, a leading cause of mortality. Greater inequality and lower wealth were associated with higher blood pressure. Psychosocial factors did not mediate wealth-health associations. Thus, relative socio-economic position and inequality may affect health across diverse societies, though this is likely exacerbated in high-income countries.

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          Poverty is bad for health. People living in poverty are more likely to struggle to afford nutritious food, lack access to health care, or be overworked or stressed. This may make them susceptible to chronic diseases, contribute to faster aging, and shorten their lifespans. In high-income countries, there is growing evidence to suggest that a person’s ‘rank’ in society also impacts their health. For example, individuals who have a lower position in the social hierarchy report worse health outcomes, regardless of their incomes. But it is unclear why living in an unequal society or having a lower social status contributes to poorer health.

          One possibility is that inequalities in society are creating a stressful environment that leads to worse physical and mental outcomes. It is thought that this stress largely comes from how humans evolved to prioritize reaching a higher social status over having a long and healthy life. If this is the case, this would mean that the link between social status and health would also be present in non-industrialized communities where social hierarchies tend to be less pronounced.

          To test this, Jaeggi, Blackwell et al. studied the Indigenous Tsimane population in Bolivia who live in small communities and forage and farm their own food. The income and relative wealth of 870 households from 40 Tsimane communities were compared against various outcomes, including symptoms associated with depression, stress hormone levels, blood pressure, self-rated health and several diseases.

          Jaeggi, Blackwell et al. found poverty and inequality did not negatively impact all of the health outcomes measured as has been previously reported for industrialized societies. However, blood pressure was higher among people with lower incomes or those who lived in more unequal communities. But because the Tsimane people generally have low blood pressure, the differences were too small to have much effect on their health. People who lived in more unequal communities were also three times more likely to have respiratory infections, but the reason for this was unclear.

          This shows that social determinants such as a person’s wealth or inequality can affect health, even in communities with less rigid social hierarchies. In industrial societies the effect may be worse in part because they are compounded by lifestyle factors, such as diets rich in fat and sugar, and physical inactivity which can also increase blood pressure. This information may help policy makers reduce health disparities by addressing some of the social determinants of health and the lifestyle factors that cause them.

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            The role of inflammation in depression: from evolutionary imperative to modern treatment target.

            Crosstalk between inflammatory pathways and neurocircuits in the brain can lead to behavioural responses, such as avoidance and alarm, that are likely to have provided early humans with an evolutionary advantage in their interactions with pathogens and predators. However, in modern times, such interactions between inflammation and the brain appear to drive the development of depression and may contribute to non-responsiveness to current antidepressant therapies. Recent data have elucidated the mechanisms by which the innate and adaptive immune systems interact with neurotransmitters and neurocircuits to influence the risk for depression. Here, we detail our current understanding of these pathways and discuss the therapeutic potential of targeting the immune system to treat depression.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                14 May 2021
                2021
                : 10
                : e59437
                Affiliations
                [1 ]Institute of Evolutionary Medicine, University of Zurich ZurichSwitzerland
                [2 ]Department of Anthropology, Emory University AtlantaUnited States
                [3 ]Department of Anthropology, Washington State University PulmanUnited States
                [4 ]Jepson School of Leadership Studies, University of Richmond RichmondUnited States
                [5 ]School of Human Evolution and Social Change, Arizona State University TempeUnited States
                [6 ]Center for Evolution and Medicine, School of Life Sciences, Arizona State University TempeUnited States
                [7 ]Institute for Advanced Study in Toulouse ToulouseFrance
                [8 ]Department of Anthropology, University of California, Santa Barbara Santa BarbaraUnited States
                [9 ]Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology LeipzigGermany
                [10 ]Economic Science Institute, Chapman University IrvineUnited States
                [11 ]Department of Anthropology, University of New Mexico AlbuquerqueUnited States
                Department of Epidemiology and Public Health, University College London LondonUnited Kingdom
                Pennsylvania State University United States
                Department of Epidemiology and Public Health, University College London LondonUnited Kingdom
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-1695-0388
                https://orcid.org/0000-0002-5871-9865
                https://orcid.org/0000-0001-5985-9643
                https://orcid.org/0000-0002-6685-5533
                https://orcid.org/0000-0002-5661-527X
                Article
                59437
                10.7554/eLife.59437
                8225390
                33988506
                6ff4fcac-f18a-4bd1-9cd3-a14e9c2c8c4a
                © 2021, Jaeggi et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 29 May 2020
                : 10 May 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung;
                Award ID: PBZHP3-133443
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008982, National Science Foundation;
                Award ID: BCS0136274
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008982, National Science Foundation;
                Award ID: BCS0422690
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01AG024119
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: RF1AG054442
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R56AG024119
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Epidemiology and Global Health
                Medicine
                Custom metadata
                Socio-economic hierarchies may be bad for health, even among people living in a relatively traditional, small-scale society in the Bolivian Amazon.

                Life sciences
                social determinants of health,biopsychosocial,socio-economic status,hierarchy,mismatch,tradeoffs,human

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