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Status does not predict stress: Women in an egalitarian hunter–gatherer society

Published online by Cambridge University Press:  24 August 2020

Piotr Fedurek
Centre for Research in Evolutionary, Social and Inter-Disciplinary Anthropology, Roehampton University, London, UK
Laurent Lacroix
Health Sciences Research Centre, Roehampton University, London, UK
Julia Lehmann
Centre for Research in Evolutionary, Social and Inter-Disciplinary Anthropology, Roehampton University, London, UK
Athena Aktipis
Department of Psychology, Arizona State University, Tempe, AZ, USA
Lee Cronk
Department of Anthropology, Baylor University, Waco, TX, USA
Cathryn Townsend
Department of Anthropology, Baylor University, Waco, TX, USA
E. Jerryson Makambi
Mount Meru Tour Guide and International Language School, Arusha, Tanzania
Ibrahim Mabulla
National Museums of Tanzania, Dar es Salaam, Tanzania
Volker Behrends
Health Sciences Research Centre, Roehampton University, London, UK
J. Colette Berbesque*
Centre for Research in Evolutionary, Social and Inter-Disciplinary Anthropology, Roehampton University, London, UK
*Corresponding author. E-mail:


It is widely believed that there is strong association between physiological stress and an individual's social status in their social hierarchy. This has been claimed for all humans cross-culturally, as well as in non-human animals living in social groups. However, the relationship between stress and social status has not been explored in any egalitarian hunter–gatherer society; it is also under investigated in exclusively female social groups. Most of human evolutionary history was spent in small, mobile foraging bands of hunter–gatherers with little economic differentiation – egalitarian societies. We analysed women's hair cortisol concentration along with two domains of women's social status (foraging reputation and popularity) in an egalitarian hunter–gatherer society, the Hadza. We hypothesized that higher social status would be associated with lower physiological indicators of stress in these women. Surprisingly, we did not find any association between either foraging reputation or popularity and hair cortisol concentration. The results of our study suggest that social status is not a consistent or powerful predictor of physiological stress levels in women in an egalitarian social structure. This challenges the notion that social status has the same basic physiological implications across all demographics and in all human societies.

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Media Summary: By analysing women's stress in egalitarian hunter–gatherers, we find that social status does not have the same impact across human societies.


The biosocial model of status, in which every member of a social group signals social status through behavioural signs (e.g. demeanour, speech, physical conflict) (Mazur, Reference Mazur1985) is a model that has relied far more on research on males than females. Despite the fact that the biosocial model of status is considered a universal in social animals, there are some fundamental gaps in the literature on social status and stress. First, most of the literature on social status and both perceived stress levels and physiological stress levels in humans comes from large-scale, industrialized populations. These typically use socioeconomic status (operationalized as income and education) as a proxy for social status (Marmot, Reference Marmot2004; Sapolsky, Reference Sapolsky2004; Wilkinson, Reference Wilkinson2001). However, the vast majority of human evolutionary history was spent in small bands of hunter–gatherers with little economic differentiation between individuals (Bowles et al., Reference Bowles, Smith and Borgerhoff Mulder2010; Mattison et al., Reference Mattison, Smith, Shenk and Cochrane2016), in contrast to the large-scale social and economic interactions that characterize industrialized populations. Furthermore, there is very little research on social status and stress in small-scale populations. There are a few very valuable papers on social status and stress in hunter–horticulturalist men (Konečná & Urlacher, Reference Konečná and Urlacher2017; Trumble et al., Reference Trumble, Smith, O'Connor, Kaplan and Gurven2014; von Rueden et al., Reference Von Rueden, Trumble, Emery Thompson, Stieglitz, Hooper, Blackwell and Gurven2014), but there are no data on hunter–gatherer populations. Hunter–gatherer populations are distinct from other small-scale societies in that they have well-documented, explicit levelling mechanisms to prevent hierarchy, rather than simply an absence of central authority (Boehm et al., Reference Boehm, Barclay, Dentan, Dupre, Hill, Kent and Rayner1993; Cashdan, Reference Cashdan1980).

The second gap in the literature on social status and stress is reflected in its almost exclusive focus on men or on mixed-sex groups (Hamilton et al., Reference Hamilton, Carré, Mehta, Olmstead and Whitaker2015; Konečná & Urlacher, Reference Konečná and Urlacher2017; Trumble et al., Reference Trumble, Smith, O'Connor, Kaplan and Gurven2014; von Rueden et al., Reference Von Rueden, Trumble, Emery Thompson, Stieglitz, Hooper, Blackwell and Gurven2014). To date, little is known about the effects of social status on individual stress levels in women's groups. The link between social status and cortisol profiles established in males or mixed-sex groups has merely been assumed to be the same for female social groups, with very little actual investigation to date (Casto & Prasad, Reference Casto and Prasad2017).

This lack of data on women's social status and stress is a critical oversight given that, in non-human primates, stress and social status can have important impacts on reproductive fitness. In addition, social status is often manifested in female-only hierarchies. In our closest relatives, chimpanzees, females with lower social status have higher cortisol levels (Emery Thompson et al., Reference Emery Thompson, Muller, Kahlenberg and Wrangham2010) and socially dominant females have greater reproductive success than lower-status individuals (Pusey et al., Reference Pusey, Williams and Goodall1997; Wittig & Boesch, Reference Wittig and Boesch2003).

In the literature, social status has been considered to be multidimensional, including traits such as physical formidability, material resources and socioeconomic status (Lukaszewski et al., Reference Lukaszewski, Simmons, Anderson and Roney2016). Human status can also be based on prestige, or freely conferred deference from others (Henrich & Gil-White, Reference Henrich and Gil-White2001; Cheng & Tracey, Reference Cheng and Tracy2013). Studies in WEIRD (Western, educated, industrialized, rich and democratic) societies (Henrich et al., Reference Henrich, Heine and Norenzayan2010) have shown that individuals with higher social status based on prestige, rather than money, live longer than economically equal peers without prestige (Liu et al., Reference Liu, Kwon, Xue and Fleisher2017; Redelmeier & Singh, Reference Redelmeier and Singh2001).

Likewise, ethnic minority status is associated with higher cortisol levels, independent of socioeconomic status, even in an environment with little disparity in access to resources (e.g. the Netherlands) (Rippe et al., Reference Rippe, Noppe, Windhorst, Tiemeier, van Rossum, Jaddoe and van den Akker2016). Self-perceived status also appears to be important in shaping physiological responses to stress. When exposed to a laboratory stressor, individuals with lower self-perceived social status had more pronounced inflammatory responses compared with those that perceived themselves to be of higher status. This effect remained significant, even when controlling for actual differences in socioeconomic status (Derry et al., Reference Derry, Fagundes, Andridge, Glaser, Malarkey and Kiecolt-Glaser2013).

Popularity can be also regarded as a measure of social status (Kindermann & Gest, Reference Kindermann and Gest2009; Kornienko et al., Reference Kornienko, Clemans, Out and Granger2013). Previous studies have shown that low levels of nominated friendship might be related to social anxiety resulting from a self-perceived social rejection or withdrawal (La Greca & Lopez, Reference La Greca and Lopez1998) and some studies have shown that the latter is related to elevated levels of physiological stress (Granger et al., Reference Granger, Stansbury and Henker1994, Reference Granger, Weisz, McCracken, Ikeda and Douglas1996). It has also been shown that individuals who are perceived as popular have greater access to social support compared with less popular individuals (Kornienko et al., Reference Kornienko, Clemans, Out and Granger2013).

On the other hand, in a study of women's networks, being very popular (i.e. being a recipient of a relatively high number of friendship nominations) can also have adverse effects on psychological wellbeing of an individual potentially driven by resentment, jealousy and, most of all, a chronic fear of status loss which may involve constant monitoring of social relationships (Kornienko et al., Reference Kornienko, Clemans, Out and Granger2013). Indeed, being on top of the social hierarchy of social animals is often associated with unstable social relationships (Sapolsky, Reference Sapolsky2005) and, therefore, higher stress levels (Gesquiere et al., Reference Gesquiere, Learn, Simao, Onyango, Alberts and Altmann2011). Moreover, one human study found that high turnover in friendship relationships is related to higher stress levels (Kornienko et al., Reference Kornienko, Schaefer, Weren, Hill and Granger2016).

Ironically, it is not easy to choose a dimension of social status in the Hadza, because they are extremely egalitarian. There are no differences in personal property or wealth or leadership within women. Even body condition among each sex is relatively homogeneous (Sherry & Marlowe, Reference Sherry and Marlowe2007). Status-seeking by either gender is actively discouraged, and several levelling mechanisms are used to curtail self-aggrandizing and status-seeking behaviour. These levelling mechanisms in hunter–gatherer societies are fully described by Woodburn (Reference Woodburn1982, Reference Woodburn2005) and others (Boehm et al., Reference Boehm, Barclay, Dentan, Dupre, Hill, Kent and Rayner1993; Cashdan, Reference Cashdan1980).

We chose foraging reputation as a second possible proxy for social status for several reasons. First, the Hadza have reported foraging ability as an important quality in a mate for both genders (Marlowe, Reference Marlowe2004). Second, hunting reputation in males is described as both being valid and reliable (Stibbard-Hawkes et al., Reference Stibbard-Hawkes, Attenborough and Marlowe2018) and also as a prestige-conferring activity that translates into higher reproductive success (Apicella, Reference Apicella2014). However, men with better hunting reputations do not have wives with better nutritional status (Stibbard-Hawkes et al., Reference Stibbard-Hawkes, Attenborough, Mabulla and Marlowe2020), which suggests widespread food sharing. In addition, women's production of tubers as fallback foods may actually reduce inequality in access to calories, even if meat is not equally shared (Marlowe & Berbesque, Reference Marlowe and Berbesque2009). While digging reputation is not the same as hunting reputation, it does make sense to measure women's most obvious contribution to subsistence. We expect that women who produce more might have more opportunity to garner prestige through distribution or through the reputation of being a hard worker.

There have been few studies on social status in women in non-industrialized societies, but a study of 33 non-industrialized societies found measurable differences in the social status of men regardless of the ‘political egalitarianism’ of their societies, with status measured by indicators such as wealth, leadership, hunting and culturally specific status indicators (von Rueden & Jaeggi, Reference Von Rueden and Jaeggi2016). However, many of the indicators used in this study (such as wealth and leadership) are absent in egalitarian hunter–gatherer societies such as the Hadza, and none of the indicators are relevant for Hadza women. We argue that this is because the Hadza are far more egalitarian than the non-industrialized societies that have been documented to a large extent. It is noteworthy that there has been one study in the very egalitarian BaYaka hunter–gatherers that finds that, in both sexes, having more relational wealth is associated with higher body mass index and relational wealth is associated with higher age-specific fertility in women (Chaudhary et al., Reference Chaudhary, Salali, Thompson, Rey, Gerbault, Stevenson, Vinicius and Migliano2016). Relational wealth varied far more in men than in women among the BaYaka. This pattern was also documented in Agta hunter–gatherer women, where women with more second- and third-degree ties (indirect centrality) in a social network had more surviving children (Page et al., Reference Page, Chaudhary, Viguier, Dyble, Thompson, Smith and Migliano2017). However, these findings may be due to differences in social support in egalitarian populations rather than social status per se. While social support may confer status or influence social position in some cultures, it is not a proxy for social status. An individual with greater social support may not cause others to evaluate them more favourably, and some types of ‘social support’ may even negatively impact an individual (e.g. Boutin-Foster, Reference Boutin-Foster2005).

Before claiming that social status is a critical factor for determining health in all human populations, we must document that status differentials affect women as well as men and are present cross-culturally – including in the most egalitarian contexts. To this end, we assess the relationship between long-term cortisol levels and reputation for two potential domains of women's social status (foraging reputation and popularity) in the Hadza, hunter–gatherer women.


The Hadza People

The Hadza are traditionally hunter–gatherers, and now number approximately 1000. They live in a savanna-woodland habitat that encompasses about 4000 km2 around Lake Eyasi in northern Tanzania. Approximately 250 Hadza are still living traditionally from mostly foraged foods. They live in mobile camps, which average 30 adult individuals. Camp membership often changes as people move in and out of them. These camps move about every 6 weeks on average (Marlowe, Reference Marlowe2010; Jones, Reference Jones2016). Hadza women hunt and gather other resources, foraging on average 4 hours per day. Although the Hadza often live in nuclear family units, women and men have separate spaces for socializing and working while in camp. Women with small children and babies often sit together in a shady spot doing beadwork, or work together processing foods. Hadza hunter–gatherer women forage together in groups and have separate physical areas from men in camp. Men also have their own space, where they work on arrows or bows (Marlowe, Reference Marlowe2010; Jones, Reference Jones2016). Hadza women spend a great deal of time exclusively with other women. Separate social spheres for each sex are common in many societies, including small-scale societies, but also in some industrialized contexts such as Europe and the US (Kerber, Reference Kerber1988; McBain, Reference McBain1990). In some human societies, female social hierarchies may be entirely separate from men's hierarchies, and this is also common in non-human primates (Caspari, Reference Caspari1978).

The Hadza are politically egalitarian, with no official big men, chiefs or leaders (Woodburn, Reference Woodburn1982; Woodburn, Reference Woodburn2005). The Hadza also have very little disparity in material wealth, generally owning only personal possessions such as clothing (often a single outfit), bows and arrows (owned by men only) or digging stick (owned by women only), and knives (typically owned by men but also sometimes by women). In some cases, there is communal property used by a multigenerational family, such as a large cooking pot. Some individuals may possess items above and beyond these, but often these are still shared. One example of this is a machete, which not all Hadza men own and almost no Hadza women own. A machete owned by a particular man may be used (borrowed) by other men if needed, and even by women in camp in order to sharpen their digging sticks. Most personal property is freely loaned or even borrowed without explicit permission: any individual's insistence on explicit permission would point out a difference in property, already in itself considered rude. Theft is very rare, and most individuals have access to the same array of private property – there are no real status benefits to owning a machete, for instance.

There are some common forms of inequity in relatively ‘egalitarian’ societies, for example greater access to preferred foods (Berbesque et al., Reference Berbesque, Marlowe and Crittenden2011; Berbesque and Marlowe, Reference Berbesque and Marlowe2009; Speth, Reference Speth1990), so there is reason to suspect that there are substantial enough differences in social status that we might see impact on stress levels. Although there are no official leaders, there are gender differences in status, with Hadza men having slightly more access to external goods and money (e.g. wage labour) than Hadza women. Hadza women are free to choose their own husbands, and to divorce if they wish to, and they are often vocal and opinionated. However, they are sometimes subject to domestic violence and generally not encouraged to travel alone whether for visiting or foraging.

Among the women in our Hadza hunter–gatherer study sample, there is no evidence for inequities in health as measured by body condition (Sherry & Marlowe, Reference Sherry and Marlowe2007; Marlowe & Berbesque, Reference Marlowe and Berbesque2009; Raichlen et al., Reference Raichlen, Pontzer, Harris, Mabulla, Marlowe, Snodgrass and Wood2017), nor are there any substantial individual differences in personal wealth (Marlowe, Reference Marlowe2010). However, there may still be individual variation in other measures of social status (von Rueden et al., Reference Von Rueden, Trumble, Emery Thompson, Stieglitz, Hooper, Blackwell and Gurven2014), such as popularity (Apicella et al., Reference Apicella, Marlowe, Fowler and Christakis2012), or in competency in foraging (Berbesque et al., Reference Berbesque, Wood, Crittenden, Mabulla and Marlowe2016; Fitzpatrick, Reference Fitzpatrick2018). The question here is whether these differences are substantial and consistent enough to result in predictable associations between status and cortisol, as seen in other species, and in men in hierarchical societies.

Data collection

Data collection was conducted in 2016 and 2017 for roughly four months each. Data were collected in camps that were actively foraging for most of their calories, although visiting and some limited trade with neighbouring food-producing groups like the Datooga pastoralists did occur as it has in all camps since Hadza life has been documented. The Hadza generally do not know their birth year, so age was established through long-term records established by Nicholas Blurton Jones (Jones, Reference Jones2016), and maintained by Frank W. Marlowe (Marlowe, Reference Marlowe2010) and JCB. Data collection lasted several weeks in each camp, with hair sampling conducted on the final day of data collection. This meant that part of the hair sample grew during the time when camp members were co-resident with the other members they were nominating.

Hair samples and reputational data on popularity status and foraging reputation were collected from eight camps of different sizes (ranging from 6 to 38 adults, mean = 19). All women present in every camp participated (n = 83), but the number of women present differed in each camp, ranging from 3 to 21, mean = 10.75). Only adult individuals were included in the study. On average, we collected reputational data from 100% of adults per camp (83 women and 64 men) and hair samples from 77 of the same women. Of the 147 study participants, two men and three women were sampled twice as they happened to be in two different study camps when the study was conducted. The hair samples from the first camp only were used for the women sampled twice, but nominations provided in both camps were used (more detail below). Given that only approximately 250 Hadza are full-time foragers, and approximately half of those are men, this constitutes a robust sample of one of the last extant egalitarian hunter–gatherer populations.

Reputation measures

To measure reputation for Hadza women's competency in a socially valued skill, we asked 147 adult camp members (both men and women resident in camp), in private, one at a time, who were the three best tuber diggers in camp. Tubers are the most challenging regularly targeted food item for women to acquire and an important fallback food for the Hadza (Marlowe & Berbesque, Reference Marlowe and Berbesque2009). Both men and women only nominated women as the top three ‘best diggers’, which was expected, because men rarely dig for tubers. Reputation measures were collected on 83 women, with a mean age of 41.02 years (median = 37, range 18–89).

In the same interviews, we also asked all respondents (n = 147 adults, 83 women and 64 men) who were their three best friends in that camp. Although they were free to nominate any adult (including men), all 83 women but three named other women as their three best friends in camp, and only two men named a woman as a friend. This means that, although we asked 147 people who their friends were, only women (n = 83) could be included in the sample for friendship nominations.

Reputational data on friend status and digging status were generated by assigning 3 points to the top score (such as first best friend), 2 points to the second and 1 point to the third best nominee. Because we collected reputational data from five camps of different sizes with different numbers of potential nominators, we standardized these raw values by deducting a mean camp value from each individual score in a camp and then dividing it by the standard deviation of the camp – which resulted in a within-camp z score for each reputation metric for each woman (Kreyszig, Reference Kreyszig1979). In addition, we calculated the skewness of the nominations scores using the e1071 (Meyer et al., Reference Meyer, Dimitriadou, Hornik, Weingessel, Leisch and Chang2019) package for R (R development core team 2019), where positive and negative values indicate positive and negative skew, respectively.

Cortisol analysis

We are mainly interested in chronic longer-term levels of stress rather than the acute stress response because we are interested in the mediation of chronic stress. Hair cortisol has the advantage of allowing back-tracking average levels of cortisol over a longer time-frame than other methods (such as salivary cortisol); depending on hair length and growth rate, cortisol can reflect stress levels experienced over the last few months (Wennig, Reference Wennig2000). Assuming an average hair growth rate of 1 cm/month (Wennig, Reference Wennig2000), the record of hair cortisol in our samples covered the last 1–2 months, which corresponds roughly to the time documented as the average duration of Hadza residence in a particular camp (Marlowe, Reference Marlowe2010). Hair cortisol concentration (HCC) levels have been found to be associated with self-perceived stress and poorer self-perceived health and mental health in people living in industrialixed contexts (Faresjö et al., Reference Faresjö, Jullander, Götmalm and Theodorsson2014; Stalder et al., Reference Stalder, Steudte-Schmiedgen, Alexander, Klucken, Vater, Wichmann and Miller2017; Staufenbiel et al., Reference Staufenbiel, Penninx, Spijker, Elzinga and van Rossum2013). In addition, there is a well-documented association between cortisol, insulin resistance, hypertension, immunosuppression and reproductive impairments – having higher cortisol levels is associated with serious health implications, including reduced life expectancy (Güder et al., Reference Güder, Bauersachs, Frantz, Weismann, Allolio and Ertl2007; Kumari et al., Reference Kumari, Shipley, Stafford and Kivimaki2011; Marmot & Sapolsky, Reference Marmot and Sapolsky2014).

Determining cortisol from hair also has the benefit of being a biological sampling procedure that causes minimal discomfort to the participants and samples do not require refrigeration after collection (which would be quite difficult in mobile, fluid bush camps). It is worth noting that many Hadza women keep their hair short, so that the time period of cortisol levels detected in hair is estimated to be approximately one month. The Hadza do not dye or bleach their hair. They occasionally use soap (generally hand soap) to wash their hair, so cortisol values were unlikely to be affected by frequent shampooing, as seen in other cultures (Hoffman et al., Reference Hoffman, Karban, Benitez, Goodteacher and Laudenslager2014).

Hair preparation and analysis

Hair cortisol was extracted according to Sauvé et al. (Reference Sauvé, Koren, Walsh, Tokmakejian and Van Uum2007). Briefly, hair samples from the 1 cm closest to the scalp end were cut into small pieces using sterile small surgical scissors (Slominski et al., Reference Slominski, Rovnaghi and Anand2015), weighed (to around 10–15 mg) and placed into 1.5 ml reaction tubes. Prior to extraction, hair samples were ground using the IKA Ultra Turrax Tube drive System (following Xiang et al., Reference Xiang, Sunesara, Rehm and Marshall2016). For extraction, 1.5 mL of methanol was added, and the vial was sealed and incubated overnight for 18 h at room temperature while gently shaking. After incubation, samples were centrifuged, the methanol extract was transferred to a disposable glass vial and evaporated to dryness under nitrogen. The samples were dissolved in 250 μL of phosphate buffered saline (pH 8.0). Samples were vortexed for 1 minute, and then again for 30 seconds before the assay.

Cortisol levels were measured using the Salimetrics® cortisol enzyme-linked immunoassay (ELISA) kit (Salimetrics Europe, Suffolk, UK) as per the manufacturer's instructions. In principle, the assay measures competitive binding to a capture antibody between hair-extracted cortisol and cortisol conjugated to horseradish peroxidase, which converts 3,3′,5,5′-tetramethylbenzidine to 3,3′,5,5′-tetramethylbenzidine diimine in a chromogenic reaction. After termination of the reaction by adding sulphuric acid, absorbance was measured at 450 nm and cortisol levels were calculated based on a standard curve. The intra- and inter-assay coefficients of variance were <9% and <10%, respectively.

Statistical analysis

Cortisol concentrations were highly skewed, and thus we ln-transformed these measurements. After that, the visual inspections of normality and homogeneity of error variances did not indicate a violation of model assumptions.

We analysed the data using linear mixed-effects model (LMM) fit by the maximum likelihood estimation with cortisol levels as a dependent variable while foraging reputation and popularity status were used as predictors. Some of our study subjects that provided hair were pregnant (n = 4) or lactating (n = 14) and pregnancy and lactation have been found to affect physiological stress levels in women (Carr et al., Reference Carr, Parker, Madden, MacDonald and Porter1981; Heinrichs et al., Reference Heinrichs, Meinlschmidt, Neumann, Wagner, Kirschbaum, Ehlert and Hellhammer2001). In order to control for these factors, we included in the LMM model an additional predictor – reproductive state – with two categories: (1) non-pregnant or lactating; and (2) pregnant or lactating. Regarding the three women that participated in the study twice in two different camps, for the LMM analysis we used only data from the camps they participated in first in order to avoid pseudo-replication (although their nominations were included in quantifying the popularity and digging status of other participants they nominated in both camps they participated in). We also included participant age in the model as a fixed independent variable and camp as a random variable. Because both digging status and popularity had quadratic relationships with age, we logged the age values (von Rueden et al., Reference Von Rueden, Gurven and Kaplan2008).

In order to minimize the problem of collinearity, we first ran Kendal Tau correlations on all variable combinations and excluded highly correlated variables (Kendal tau > 0.8). We also calculated variance inflation factors (VIF) for all the variables, including only variables with VIF < 4. We calculated marginal (i.e. for fixed effects only) and conditional (i.e. for both fixed and random effects for camp) R 2 for the LMM model using the ‘lmerTest’ package (Kuznetsova et al., Reference Kuznetsova, Brockhoff and Christensen2017) for R. LMM was performed using the ‘lme4’package (Bates et al., Reference Bates, Maechler, Bolker and Walker2014) for R (R Development Core Team, 2018). Because popularity and digging status correlated with each other (tau = 0.25, p = 0.001), we calculated two separate LMM models: one with all variables retained from the original model but without popularity and the other with all variables retained from the original model but excluding digging status (see Supplementary Material Tables S2 and 3). In addition, we used a Wilcoxon rank sum test in order to determine whether HCC values differed between the two field seasons (e.g. 2016 and 2017) during which the hair samples were collected.


Our cortisol sample consisted of 77 women, with mean hair cortisol concentration 78.25 pg/mg (median = 64.38, range 15.04–229.36). A Wilcoxon rank sum test found no differences in HCC between the two data collection field seasons (W = 764.5; p = 0.696). Both popularity and foraging reputation scores exhibited a positive skew, especially in bigger camps (Table A1, Supplementary Material). See Figure 1 for histograms showing the distribution of reputation measures (individual z scores), and Supplementary Figures S1a–h and S2a–h, showing some individuals received the majority of nominations for both measures in each camp.

Figure 1. Histogram of reputations: foraging and popularity. The x-axis is the within-camp z score for each reputation metric for each woman.

Although some model variables were significantly correlated with each other (Table 1), Kendall tau and all VIF values were generally low (age VIF = 1.59, foraging reputation VIF = 1.80, popularity VIF = 1.25, reproductive state VIF = 1.08), thus all variables were included in the full model.

Table 1. Kendall correlation results between variables included in the model

Neither age not foraging reputation nor popularity were associated significantly with hair cortisol concentrations (Table 2; Figure 2).

Figure 2. Foraging reputation, popularity and age associations with logged cortisol. Relationship between logged picograms of hair cortisol concentrations and within-camp z score for each reputation metric for each woman: (a) is foraging reputation, (b) is popularity and (c) is logged age. Shaded area represents 95% confidence intervals.

Table 2. Linear mixed-effects model results explaining cortisol concentration variance in the Hadza woman

Neither popularity nor digging status were significantly associated with cortisol when these two variables were included separately for the LMM analyses (Tables S2 and S3, Supplementary Material).


Our results clearly indicated that, contrary to expectations, neither foraging reputation nor level of popularity had any effect on long-term stress levels in Hadza women. This lack of an association between foraging reputation or popularity and stress may result from (1) neither foraging ability nor popularity reflecting or conferring social status, (2) meaningful differences in social status not impacting on stress as measured via hair cortisol or (3) an absence of meaningful differences in women's social status.

The first possible explanation for our finding that Hadza women's popularity is not associated with their cortisol levels is that friendship nominations (or popularity) do not reflect social status. This finding is in contrast to recent findings in industrialized populations, where it has been shown that being frequently named as a close friend of others is associated with low physiological levels of stress in both adults (Holt-Lunstad et al., Reference Holt-Lunstad, Smith and Layton2010; Kim et al., Reference Kim, Benjamin, Fowler and Christakis2016; Ketay et al., Reference Ketay, Welker and Slatcher2017) and children (Peters et al., Reference Peters, Riksen-Walraven, Cillessen and de Weerth2011; Kornienko et al., Reference Kornienko, Clemans, Out and Granger2013). In addition, a nine-year study of children in a rural Caribbean village found no evidence that socioeconomic status per se affected the cortisol profiles or health outcomes of children; family relationships were more influential (Flinn & England, Reference Flinn and England1997).

Despite our findings, it is very likely that popularity is important among the Hadza, even if it has no predictable link with physiological stress. Indeed, computer models show that having friends that can be relied on in times of need can help buffer individuals from the risks of living in an uncertain ecological environment (Aktipis et al., Reference Aktipis, de Aguiar, Flaherty, Iyer, Sonkoi and Cronk2016; Cronk et al., Reference Cronk, Berbesque, Conte, Gervais, Iyer, McCarthy, Aktipis, Lozny and McGovern2018). The importance of managing risk through building supportive relationships has been noted by other researchers studying small-scale societies. For example, Gurven's et al.'s (Reference Gurven, Allen-Arave, Hill and Hurtado2000) work on the Ache notes that social relationships can function as a sort of social insurance for times when individuals may be in need. It is interesting that popularity does not predict cortisol levels across all human cultures, although it commonly does in WEIRD populations. It is possible that popularity confers social status as well as social support in hierarchical societies, but only provides support in a more egalitarian population.

Surprisingly, we also did not find any association between foraging reputation and hair cortisol levels. As tuber digging is a culturally valued skill (Marlowe & Berbesque, Reference Marlowe and Berbesque2009), we expected that higher digging status would lead to lower cortisol levels. However, perhaps foraging reputation is not a good indicator of Hadza women's social status. Competition among women is associated with elevated cortisol in some WEIRD contexts (Casto & Edwards, Reference Casto and Edwards2016; Sherman et al., Reference Sherman, Rice, Jin, Jones and Josephs2017). Among the Hadza, women are less likely to compete than men, even in gender-neutral tasks (Apicella & Dreber, Reference Apicella and Dreber2015). This lack of competitiveness might explain the absence of an effect on cortisol.

On the other hand, even if women directly compete (our measures of status are indirect competition), winning a competition might not always be beneficial for an individual's social status. In WEIRD societies it may seem obvious that winning a competition or, as a form of indirect competition, being noticeably superior in some skill, would help an individual gain social status. That may not be the case in Hadza women's social spheres, where engaging in overt competition or even demonstrating superior skill may be frowned upon. There is a large amount of variation in attitudes towards competition in women cross-culturally. While women are often engaged in overt competition in some cultures, women are actively discouraged from overtly competing in other cultures (Andersen et al., Reference Andersen, Ertac, Gneezy, List and Maximiano2012; Gneezy et al., Reference Gneezy, Leonard and List2009). Effectiveness in competitive contexts may even have the counter-intuitive effect of decreasing female status, particularly if women are denigrated by competitors (Sheppard & Aquino, Reference Sheppard and Aquino2017; Tichenor, Reference Tichenor2011).

Finally, the common finding that women are less competitive than men in economics experiments may be at least in part due to the design biases. Experimental games designed to measure competitiveness may be framed in ways that do not offer the rewards most valued by women, thereby incentivising the efforts of women less than men. Gender gaps in competition were not supported in more recent games that allow participants to have some form of control over the decision of whether or not to share the prize with other players (Cassar & Rigdon, Reference Cassar and Rigdon2019) or to benefit the player‘s children rather than cash winner-takes-all prizes (Cassar et al., Reference Cassar, Wordofa and Zhang2016). This suggests that, when women compete, they may do so more readily in different circumstances than men do, they may use different strategies than men to compete, and they may be driven by different goals than men (Liesen, Reference Liesen, Fisher, Garcia and Sokol Chang2013). Motivational differences between women and men might also affect how status is negotiated or achieved as well as how the social status of an individual is evaluated by each sex.

It is possible that both our indicators of social status in Hadza women have failed to actually capture meaningful differences in social status. Possible other factors contributing more to women's social status than the factors we describe in this study include attractiveness, helpfulness or intelligence. It is at least noteworthy that after many years (over a decade, in the case of JCB) of studying the Hadza, researchers are still uncertain what the best measure of social status in Hadza women would be.

The second possible explanation for our results is that, although there are meaningful differences in women's social status, they do not impact stress (as measured via hair cortisol). This would mean that differences in women's cortisol are not explained by social status as measured by foraging reputation or effectiveness in other competitive contexts. If this is the case, then variation in cortisol may be more related to other sources of stress (such as parasite load or nutritional stress).

The third possible explanation for why we did not find an effect of foraging reputation on cortisol is that it may be that too much status seeking (by any measure) is discouraged in an egalitarian society. In an extremely egalitarian society, individuals who overtly seek status may incur negative consequences. There are well-documented levelling mechanisms commonly used against individuals seeking high status in hunter–gatherer populations, which include: teasing, ostracism and insults (Boehm et al., Reference Boehm, Barclay, Dentan, Dupre, Hill, Kent and Rayner1993; Cashdan, Reference Cashdan1980). Even if slight status differences exist among the Hadza women, these levelling mechanisms could dampen any physiological benefits of higher status.

Societies with the most extensive egalitarian practices and levelling mechanisms are sometimes referred to as non-competitive egalitarian societies, and these include, among others, the Hadza; the Batwa, BaYaka and Mbuti hunter–gatherers of Central Africa; and the Batek and Chewong hunter–gatherers of Malaysia (Woodburn, Reference Woodburn1982; Townsend, Reference Townsend and Callan2018). In the most egalitarian societies, there appears to be a tendency to understate differences in ability between individuals and to value the diversity of skills that assorted individuals can bring to the group. For example, among the Batek, a recent study found that social levelling mechanisms, such as the cultural requirement to be humble, may suppress the potential relationship between status-seeking behaviour and reproductive outcomes. Four predictors of lifetime reproductive success – foraging return rate, sharing proclivity, cooperative foraging tendency and kin presence – could not explain variation in lifetime reproduction among males or females (Kraft et al., Reference Kraft, Venkataraman, Tacey, Dominy and Endicott2019).

Meanwhile, BaYaka hunter–gatherers recognize each other's skills and talents but ‘individual ability is downplayed and represented as a consequence of their conduct in relationships with other people and mystical agents (Lewis Reference Lewis2002: 251). According to Winterhalder's (Reference Winterhalder1986) model, the risk-pooling benefits of sharing are maximal when there is variance in an individual's average resource return rate and lack of synchrony between the returns of individual foragers. Perhaps then it is unsurprising that extremely egalitarian cultures tolerate and even encourage variation in skills in order to enable social cohesion and the exploitation of a variety of resources. That said, many studies do find associations between measures of social status and reproductive success among men in even the most egalitarian societies (von Rueden & Jaeggi, Reference Von Rueden and Jaeggi2016).

Our study provides the first data on social status and cortisol in hunter–gatherer women. Generally speaking, there is a large and unrealized opportunity to investigate social status and stress in female-exclusive social groups. Some researchers have suggested that female–female competition in female-exclusive status hierarchies in WEIRD societies have not garnered much attention possibly because workplaces that are exclusively female are rare (Mast, Reference Mast2002). However, female-dominated (or even female-exclusive) work environments do exist and have done since the beginning of industrialization, if not before. Some industries have been dominated by women for quite a long time (e.g. ‘pink-collar jobs’, such as housekeepers, childcare providers, and retail clerks; Fortin & Huberman, Reference Fortin and Huberman2002; Snyder & Green, Reference Snyder and Green2008). Many other contexts involve hierarchies that are female exclusive, as in the so-called ‘Mommy Wars’, which by definition are a female-exclusive domain of competition (Crowley, Reference Crowley2015).

Even in workplaces where both sexes are present, ‘homosociality’, or the tendency to hire and socialize with only one's own sex, is fairly common (Elliott & Smith, Reference Elliott and Smith2004; Joyce & Walker, Reference Joyce and Walker2015; Schilt & Wiswall, Reference Schilt and Wiswall2008). This is true even in relatively egalitarian contexts. For example, Swedish male managing directors recruited other males almost exclusively, despite the fact that they considered themselves to be pro-gender equality and were aware of gender bias in hiring (Holgersson, Reference Holgersson2013). In addition, a recent study found that, in the ethnographic literature, women's social capital (or women's reputation) has received far less attention than men's (Post & Macfarlan, Reference Post and Macfarlan2020). The dynamics of female-exclusive status hierarchies or feminine forms of social capital can no longer be considered niche or peripheral to understanding how humans establish and maintain social status. Women's social status hierarchies, and the subsequent health effects from any status differences in women, have been largely ignored to this point in the scientific literature.

Supplementary material

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We would like to thank the Leakey Foundation (to CB and PF). We would also like to thank the John Templeton Foundation for their support for AA and LC. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the John Templeton Foundation. We thank Costech and NIMR for permission to conduct research. We would like to thank Daudi and Trude Peterson for all of their help and support, and Katie Fitzpatrick for assistance in the field. Finally, we thank the Hadza for their enduring tolerance and hospitality.

Conflict of interest and research transparency and reproducibility

To protect the anonymity of health data from the Hadza, we will provide a simulated dataset using the R package synthpop (Nowok et al., Reference Nowok, Raab and Dibben2016). This will be available in Figshare at (DOI: 10.6084/m9.figshare.12789200) from the date of publication.

Author contributions

CB conceived and designed the study. PF collected and analysed the data, with help from LL and VB for laboratory work and IB and JM for field assistance. PF, JL, AA, LC, CT and CB all contributed to writing and editing the manuscript.


Aktipis, A., de Aguiar, R., Flaherty, A., Iyer, P., Sonkoi, D., & Cronk, L. (2016). Cooperation in an uncertain world: For the Maasai of East Africa, need-based transfers outperform account-keeping in volatile environments. Human Ecology, 44, 353364. Retrieved from: Scholar
Andersen, S., Ertac, S., Gneezy, U., List, J. A., & Maximiano, S. (2012). Gender, competitiveness, and socialization at a young age: Evidence from a matrilineal and a patriarchal society. The Review of Economics and Statistics, 95, 14381443. Retrieved from: Scholar
Apicella, C. L. (2014). Upper-body strength predicts hunting reputation and reproductive success in Hadza hunter–gatherers. Evolution and Human Behavior, 35(6), 508518.CrossRefGoogle Scholar
Apicella, C. L., & Dreber, A. (2015). Sex differences in competitiveness: Hunter–gatherer women and girls compete less in gender-neutral and male-centric tasks. Adaptive Human Behavior and Physiology, 1(3), 247269.CrossRefGoogle Scholar
Apicella, C. L., Marlowe, F. W., Fowler, J. H., & Christakis, N. A. (2012). Social networks and cooperation in hunter–gatherers. Nature, 481, 497501. Retrieved from: ScholarPubMed
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2014). lme4: Linear mixed-effects models using Eigen and S4. R package version, 1(7), 123.Google Scholar
Berbesque, J. C., & Marlowe, F. W. (2009). Sex differences in food preferences of Hadza hunter–gatherers. Evolutionary Psychology, 7, 147470490900700400. Retrieved from: Scholar
Berbesque, J. C., Marlowe, F. W., & Crittenden, A. N. (2011). Sex differences in Hadza eating frequency by food type. American Journal of Human Biology, 23, 339345. Retrieved from: ScholarPubMed
Berbesque, J. C., Wood, B. M., Crittenden, A. N., Mabulla, A., & Marlowe, F. W. (2016). Eat first, share later: Hadza hunter–gatherer men consume more while foraging than in central places. Evolution and Human Behavior, 37, 2818028286. Retrieved from: Scholar
Boehm, C., Barclay, H. B., Dentan, R. K., Dupre, M.-C., Hill, J. D., Kent, S., … Rayner, S. (1993). Egalitarian behavior and reverse dominance hierarchy [and Comments and Reply]. Current Anthropology, 34, 227254. Retrieved from: Scholar
Boutin-Foster, C. (2005). In spite of good intentions: Patients' perspectives on problematic social support interactions. Health and Quality of Life Outcomes, 3(1), 52.CrossRefGoogle ScholarPubMed
Bowles, S., Smith, E. A., & Borgerhoff Mulder, M. (2010). The emergence and persistence of inequality in premodern societies: Introduction to the special section. Current Anthropology, 51, 717. Retrieved from: Scholar
Carr, B. R., Parker, C. R. Jr, Madden, J. D., MacDonald, P. C., & Porter, J. C. (1981). Maternal plasma adrenocorticotropin and cortisol relationships throughout human pregnancy. American Journal of Obstetrics and Gynecology, 139(4), 416422.CrossRefGoogle ScholarPubMed
Cashdan, E. A. (1980). Egalitarianism among hunters and gatherers. American Anthropology, 82, 116120. Retrieved from: Scholar
Caspari, E. (1978). The biological basis of female hierarchies. In Female Hierarchies. Transaction.Google Scholar
Cassar, A., & Rigdon, M. L. (2019). Option to cooperate increases women's competitiveness and closes the gender gap. Retrieved from: Scholar
Cassar, A., Wordofa, F., & Zhang, Y. J. (2016). Competing for the benefit of offspring eliminates the gender gap in competitiveness. Proceedings of the National Academy of Sciences, 113(19), 52015205.CrossRefGoogle ScholarPubMed
Casto, K. V., & Edwards, D. A. (2016). Before, during, and after: How phases of competition differentially affect testosterone, cortisol, and estradiol levels in women athletes. Adaptive Human Behavior and Physiology, 2(1), 1125.CrossRefGoogle Scholar
Casto, K. V., & Prasad, S. (2017). Recommendations for the study of women in hormones and competition research. Hormones and Behavior, 92, 190194. Retrieved from: Scholar
Chaudhary, N., Salali, G., Thompson, J., Rey, A., Gerbault, P., Stevenson, E.G.J., Vinicius, L., … Migliano, A .B. (2016). Competition for cooperation: Variability, benefits and heritability of relational wealth in hunter–gatherers. Scientific Reports, 6, 29120. Retrieved from ScholarPubMed
Cheng, J. T., & Tracy, J. L. (2013). The impact of wealth on prestige and dominance rank relationships. Psychological Inquiry, 24(2), 102108.CrossRefGoogle Scholar
Cronk, L., Berbesque, J. C., Conte, T., Gervais, M., Iyer, P., McCarthy, B., … Aktipis, A. (2018). Managing risk through cooperation: Need-based transfers and risk pooling among the societies of the Human Generosity Project. In Lozny, L. R. and McGovern, T. H. (Eds.), Global perspectives on long-term community resource management. Springer.Google Scholar
Crowley, J. E. (2015). Unpacking the power of the mommy wars. Sociological Inquiry, 85(2), 217238.CrossRefGoogle Scholar
Derry, H. M., Fagundes, C. P., Andridge, R., Glaser, R., Malarkey, W. B., & Kiecolt-Glaser, J. K. (2013). Lower subjective social status exaggerates interleukin-6 responses to a laboratory stressor. Psychoneuroendocrinology, 38, 26762685. Retrieved from: ScholarPubMed
Elliott, J. R., & Smith, R. A. (2004). Race, gender, and workplace power. American Sociological Review, 69, 365386. Retrieved from: Scholar
Emery Thompson, M., Muller, M. N., Kahlenberg, S. M., & Wrangham, R. W. (2010). Dynamics of social and energetic stress in wild female chimpanzees. Hormones and Behavior, 58, 440449. Retrieved from: ScholarPubMed
Faresjö, Å., Jullander, M., Götmalm, S., & Theodorsson, E. (2014). Higher perceived stress and poorer health reflected in elevated cortisol concentrations measured in extracts of hair from middle-aged healthy women. BMC Psychology, 2(1), 30.CrossRefGoogle Scholar
Fitzpatrick, K. (2018). Foraging and menstruation in the Hadza of Tanzania (Doctoral thesis). Retrieved from: Scholar
Flinn, M. V., & England, B. G. (1997). Social economics of childhood glucocorticoid stress response and health. American Journal of Physical Anthropology, 102(1), 3353.3.0.CO;2-E>CrossRefGoogle ScholarPubMed
Fortin, N. M., & Huberman, M. (2002). Occupational gender segregation and women's wages in Canada: An historical perspective. Canadian Public Policy/Analyse de Politiques, 28, S11S39. Retrieved from: Scholar
Gesquiere, L. R., Learn, N. H., Simao, M. C. M., Onyango, P. O., Alberts, S. C., & Altmann, J. (2011). Life at the top: Rank and stress in wild male baboons. Science, 333(6040), 357360.CrossRefGoogle ScholarPubMed
Gneezy, U., Leonard, K. L., & List, J. A. (2009). Gender differences in competition: Evidence from a matrilineal and a patriarchal society. Econometrica, 77, 16371664. Retrieved from: Scholar
Granger, D. A., Stansbury, K., & Henker, B. (1994). Preschoolers' behavioral and neuroendocrine responses to social challenge. Merrill–Palmer Quarterly (1982–), 40(2), 190211.Google Scholar
Granger, D. A., Weisz, J. R., McCracken, J. T., Ikeda, S. C., & Douglas, P. (1996). Reciprocal influences among adrenocortical activation, psychosocial processes, and the behavioral adjustment of clinic-referred children. Child Development, 67(6), 32503262.CrossRefGoogle ScholarPubMed
Güder, G., Bauersachs, J., Frantz, S., Weismann, D., Allolio, B., Ertl, G., … Kardiologie Würzburg. (2007). 673 Complementary and incremental mortality risk prediction by cortisol and aldosterone in chronic heart failure. European Journal of Heart Failure Supplements, 6, 146146.CrossRefGoogle Scholar
Gurven, M., Allen-Arave, W., Hill, K., & Hurtado, M. (2000). ‘It's a wonderful life.Evolution and Human Behavior, 21, 263282. Retrieved from: ScholarPubMed
Hamilton, L. D., Carré, J. M., Mehta, P. H., Olmstead, N., & Whitaker, J. D. (2015). Social neuroendocrinology of status: A review and future directions. Adaptive Human Behavior and Physiology, 1, 202230. Retrieved from: Scholar
Heinrichs, M., Meinlschmidt, G., Neumann, I., Wagner, S., Kirschbaum, C., Ehlert, U., & Hellhammer, D. H. (2001). Effects of suckling on hypothalamic–pituitary–adrenal axis responses to psychosocial stress in postpartum lactating women. The Journal of Clinical Endocrinology & Metabolism, 86(10), 47984804.CrossRefGoogle ScholarPubMed
Henrich, J., & Gil-White, F. J. (2001). The evolution of prestige: Freely conferred deference as a mechanism for enhancing the benefits of cultural transmission. Evolution and Human Behavior, 22(3), 165196.CrossRefGoogle ScholarPubMed
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world?. Behavioral and Brain Sciences, 33(2–3), 6183.CrossRefGoogle Scholar
Hoffman, M. C., Karban, L. V., Benitez, P., Goodteacher, A., & Laudenslager, M. L. (2014). Chemical processing and shampooing impact cortisol measured in human hair. Clinical and Investigative Medicine. Medecine Clinique et Experimentale, 37(4), E252.CrossRefGoogle ScholarPubMed
Holgersson, C. (2013). Recruiting managing directors: Doing homosociality. Gender Work Organization, 20, 454466. Retrieved from: Scholar
Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: A meta-analytic review. PLoS Medicine, 7, e1000316. Retrieved from: ScholarPubMed
Jones, N. B. (2016). Demography and evolutionary ecology of Hadza hunter–gatherers (Vol. 71). Cambridge University Press.CrossRefGoogle Scholar
Joyce, Y., & Walker, S. P. (2015). Gender essentialism and occupational segregation in insolvency practice. Accounting, Organizations and Society, 40, 4160. Retrieved from: Scholar
Kerber, L. K. (1988). Separate spheres, female worlds, woman's place: The rhetoric of women's history. The Journal of American History, 75, 939.CrossRefGoogle Scholar
Ketay, S., Welker, K. M., & Slatcher, R. B. (2017). The roles of testosterone and cortisol in friendship formation. Psychoneuroendocrinology, 76, 8896. Retrieved from: ScholarPubMed
Kim, D. A., Benjamin, E. J., Fowler, J. H., & Christakis, N. A. (2016). Social connectedness is associated with fibrinogen level in a human social network. Proceedings of the Royal Society B, 283(1837), 20160958.CrossRefGoogle Scholar
Kindermann, T. A., & Gest, S. D. (2009). Assessment of the peer group: Identifying naturally occurring social networks and capturing their effects. Handbook of peer interactions, relationships, and groups, 100117. The Guilford Press.Google Scholar
Konečná, M., & Urlacher, S. S. (2017). Male social status and its predictors among Garisakang forager–horticulturalists of lowland Papua New Guinea. Evolution and Human Behavior, 38, 789797. Retrieved from: Scholar
Kornienko, O., Clemans, K. H., Out, D., & Granger, D. A. (2013). Friendship network position and salivary cortisol levels. Social Neuroscience, 8(4), 385396.CrossRefGoogle ScholarPubMed
Kornienko, O., Schaefer, D. R., Weren, S., Hill, G. W., & Granger, D. A. (2016). Cortisol and testosterone associations with social network dynamics. Hormones and Behavior, 80, 92102.CrossRefGoogle ScholarPubMed
Kraft, T. S., Venkataraman, V. V., Tacey, I., Dominy, N. J., & Endicott, K. M. (2019). Foraging performance, prosociality, and kin presence do not predict lifetime reproductive success in Batek hunter–gatherers. Human Nature, 30(71). Retrieved from: Scholar
Kreyszig, E. (1979). Advanced engineering mathematics, 4th ed. ed. Wiley.Google Scholar
Kumari, M., Shipley, M., Stafford, M., & Kivimaki, M. (2011). Association of diurnal patterns in salivary cortisol with all-cause and cardiovascular mortality: Findings from the Whitehall II study. The Journal of Clinical Endocrinology & Metabolism, 96(5), 14781485.CrossRefGoogle ScholarPubMed
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 126. doi:10.18637/jss.v082.i13.CrossRefGoogle Scholar
La Greca, A. M., & Lopez, N. (1998). Social anxiety among adolescents: Linkages with peer relations and friendships. Journal of Abnormal Child Psychology, 26(2), 8394.CrossRefGoogle ScholarPubMed
Lewis, J. D., (2002). Forest hunter–gatherers and their world: A study of the Mbendjele Yaka Pygmies of Congo–Brazzaville and their secular and religious activities and representations. University of London PhD thesis.Google Scholar
Liesen, L. (2013). The tangled web she weaves. In Fisher, M. L., Garcia, J. R., & Sokol Chang, R. (Eds.) Evolution's empress: Darwinian perspectives on the nature of women (pp. 4362). Oxford University Press.CrossRefGoogle Scholar
Liu, G. G., Kwon, O., Xue, X., & Fleisher, B. M. (2017). How much does social status matter to longevity? – Evidence from China's academician election. Health Economics, 26, 292304. Retrieved from: ScholarPubMed
Lukaszewski, A. W., Simmons, Z. L., Anderson, C., & Roney, J. R. (2016). The role of physical formidability in human social status allocation. Journal of Personality and Social Psychology, 110(3), 385.CrossRefGoogle ScholarPubMed
Marlowe, F. (2010). The Hadza: Hunter–gatherers of Tanzania (Vol. 3). University of California Press.CrossRefGoogle Scholar
Marlowe, F. W. (2004). Mate preferences among Hadza hunter–gatherers. Human Nature, 15(4), 365376.CrossRefGoogle ScholarPubMed
Marlowe, F. W., & Berbesque, J. C. (2009). Tubers as fallback foods and their impact on Hadza hunter–gatherers. American Journal of Physical Anthropology, 140, 751758. Retrieved from: ScholarPubMed
Marmot, M. (2004). Status syndrome. Significance, 1, 150154. Retrieved from: Scholar
Marmot, M. G., & Sapolsky, R. (2014, September). Of baboons and men: Social circumstances, biology, and the social gradient in health. In Sociality, hierarchy, health: Comparative biodemography: Papers from a workshop. National Academies Press.Google Scholar
Mast, M. S. (2002). Female dominance hierarchies: Are they any different from males’? Personality and Social Psychology Bulletin, 28, 2939. Retrieved from: Scholar
Mattison, S. M., Smith, E. A., Shenk, M. K., & Cochrane, E. E. (2016). The evolution of inequality. Evolutionary Anthropology Issues News and Reviews, 25, 184199. Retrieved from: ScholarPubMed
Mazur, A. (1985). A biosocial model of status in face-to-face primate groups. Social Forces, 64(2), 377402.CrossRefGoogle Scholar
McBain, L. L. (1990). Women's and men's networks in the workplace: attitudes, behaviours and outcomes. University of British Columbia (unpublished doctoral dissertation).Google Scholar
Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., Leisch, F., & Chang, C. C. (2019). e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. Scholar
Nowok, B., Raab, G. M., & Dibben, C. (2016). synthpop: Bespoke creation of synthetic data in R. Journal of Statistical Software, 74(11), 126.CrossRefGoogle Scholar
Page, A. E., Chaudhary, N., Viguier, S., Dyble, M., Thompson, J., Smith, D., … Migliano, A. B. (2017). Hunter–gatherer social networks and reproductive success. Scientific Reports, 7(1), 110.CrossRefGoogle ScholarPubMed
Peters, E., Riksen-Walraven, J. M., Cillessen, A. H. N., & de Weerth, C. (2011). Peer rejection and HPA activity in middle childhood: Friendship makes a difference. Child Development, 82, 19061920. Retrieved from: ScholarPubMed
Post, E. R., & Macfarlan, S. J. (2020). Tracking cross-cultural gender bias in reputations. Cross-Cultural Research, 1069397120910429. Retrieved from: Scholar
Pusey, A., Williams, J., & Goodall, J. (1997). The influence of dominance rank on the reproductive success of female chimpanzees. Science, 277, 828831. Retrieved from: ScholarPubMed
Raichlen, D. A., Pontzer, H., Harris, J. A., Mabulla, A. Z., Marlowe, F. W., Snodgrass, J., … Wood, B. M. (2017). Physical activity patterns and biomarkers of cardiovascular disease risk in hunter-gatherers. American Journal of Human Biology, 29(2), e22919.CrossRefGoogle ScholarPubMed
R Core Team (2018). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available online at Scholar
Redelmeier, D. A., & Singh, S. M. (2001). Survival in Academy Award-winning actors and actresses. Annals of Internal Medicine, 134, 955962.CrossRefGoogle ScholarPubMed
Rippe, R. C. A., Noppe, G., Windhorst, D. A., Tiemeier, H., van Rossum, E. F. C., Jaddoe, V. W. V., … van den Akker, E. L. T. (2016). Splitting hair for cortisol? Associations of socio-economic status, ethnicity, hair color, gender and other child characteristics with hair cortisol and cortisone. Psychoneuroendocrinology, 66, 5664. Retrieved from: ScholarPubMed
Sapolsky, R. M. (2004). Social status and health in humans and other animals. Annual Review of Anthropology, 33, 393418. Retrieved from: Scholar
Sapolsky, R. M. (2005). The influence of social hierarchy on primate health. Science, 308(5722), 648652.CrossRefGoogle ScholarPubMed
Sauvé, B., Koren, G., Walsh, G., Tokmakejian, S., & Van Uum, S. H. M. (2007). Measurement of cortisol in human hair as a biomarker of systemic exposure. Clinical and Investigative Medicine, 30, E183191.CrossRefGoogle ScholarPubMed
Schilt, K., & Wiswall, M. (2008). Before and after: Gender transitions, human capital, and workplace experiences. The B.E. Journal of Economic Analalysis and Policy, 8. Retrieved from: Scholar
Sheppard, L. D., & Aquino, K. (2017). Sisters at arms: A theory of female same-sex conflict and its problematization in organizations. Journal of Management, 43(3), 691715.CrossRefGoogle Scholar
Sherman, G. D., Rice, L. K., Jin, E. S., Jones, A. C., & Josephs, R. A. (2017). Sex differences in cortisol's regulation of affiliative behavior. Hormones and Behavior, 92, 2028.CrossRefGoogle ScholarPubMed
Sherry, D. S., & Marlowe, F. W. (2007). Anthropometric data indicate nutritional homogeneity in Hadza foragers of Tanzania. American Journal of Human Biology, 19(1), 107118.CrossRefGoogle ScholarPubMed
Slominski, R., Rovnaghi, C. R., & Anand, K. J. S. (2015). Methodological considerations for hair cortisol measurements in children. Theraputic Drug Monitoring, 37, 802820. Retrieved from: ScholarPubMed
Snyder, K. A., & Green, A. I. (2008). Revisiting the glass escalator: The case of gender segregation in a female dominated occupation. Social Problems, 55, 271299. Retrieved from: Scholar
Speth, J. D. (1990). Seasonality, resource stress, and food sharing in so-called ‘egalitarian’ foraging societies. Journal of Anthropological Archaeology, 9, 8052–188. Retrieved from: Scholar
Stalder, T., Steudte-Schmiedgen, S., Alexander, N., Klucken, T., Vater, A., Wichmann, S., … Miller, R. (2017). Stress-related and basic determinants of hair cortisol in humans: A meta-analysis. Psychoneuroendocrinology, 77, 261274.CrossRefGoogle ScholarPubMed
Staufenbiel, S. M., Penninx, B. W., Spijker, A. T., Elzinga, B. M., & van Rossum, E. F. (2013). Hair cortisol, stress exposure, and mental health in humans: a systematic review. Psychoneuroendocrinology, 38(8), 12201235.CrossRefGoogle ScholarPubMed
Stibbard-Hawkes, D. N., Attenborough, R. D., Mabulla, I. A., & Marlowe, F. W. (2020). To the hunter go the spoils? No evidence of nutritional benefit to being or marrying a well-reputed Hadza hunter. American Journal of Physical Anthropology. Retrieved from: ScholarPubMed
Stibbard-Hawkes, D. N., Attenborough, R. D., & Marlowe, F. W. (2018). A noisy signal: To what extent are Hadza hunting reputations predictive of actual hunting skills? Evolution and Human Behavior, 39(6), 639651.CrossRefGoogle Scholar
Tichenor, A. L. (2011). A phenomenological study of the experience of rivalry among women in the workplace. Capella University (unpublished doctoral dissertation).Google Scholar
Townsend, C. (2018). Egalitarianism, evolution of. In Callan, H. (Ed.), The Wiley Blackwell international encyclopedia of anthropology. John Wiley and Sons.Google Scholar
Trumble, B. C., Smith, E. A., O'Connor, K. A., Kaplan, H. S., & Gurven, M. D. (2014). Successful hunting increases testosterone and cortisol in a subsistence population. Proceedings of the Royal Society London B Biological Science, 281, 20132876. Retrieved from: Scholar
Von Rueden, C., Gurven, M., & Kaplan, H. (2008). The multiple dimensions of male social status in an Amazonian society. Evolution and Human Behavior, 29(6), 402415.CrossRefGoogle Scholar
Von Rueden, C. R., & Jaeggi, A. V. (2016). Men's status and reproductive success in 33 nonindustrial societies: Effects of subsistence, marriage system, and reproductive strategy. Proceedings of the National Academy of Sciences, 113(39), 1082410829.CrossRefGoogle ScholarPubMed
Von Rueden, C. R., Trumble, B. C., Emery Thompson, M., Stieglitz, J., Hooper, P. L., Blackwell, A. D., … Gurven, M. (2014). Political influence associates with cortisol and health among egalitarian forager–farmers. Evolution, Medicine, and Public Health, 2014, 122133. Retrieved from: ScholarPubMed
Wennig, R. (2000). Potential problems with the interpretation of hair analysis results. Forensic Science International, 107, 512. Retrieved from: ScholarPubMed
Wilkinson, R. G. (2001). Mind the gap: Hierarchies, health and human evolution. Yale University Press.Google Scholar
Winterhalder, B. (1986). Diet choice, risk, and food sharing in a stochastic environment. Journal of Anthropological Archaeology, 5(4), 369392.CrossRefGoogle Scholar
Wittig, R. M., & Boesch, C. (2003). Food competition and linear dominance hierarchy among female chimpanzees of the Taï National Park. International Journal of Primatology, 24, 847867. Retrieved from: Scholar
Woodburn, J. (1982). Egalitarian societies. Man, 17(3), 431451.CrossRefGoogle Scholar
Woodburn, J. (2005). Egalitarian societies revisited. Property and Equality, 1, 1831.Google Scholar
Xiang, L., Sunesara, I., Rehm, K. E., & Marshall, G. D. Jr (2016). A modified and cost-effective method for hair cortisol analysis. Biomarkers, 21(3), 200203.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Histogram of reputations: foraging and popularity. The x-axis is the within-camp z score for each reputation metric for each woman.

Figure 1

Table 1. Kendall correlation results between variables included in the model

Figure 2

Figure 2. Foraging reputation, popularity and age associations with logged cortisol. Relationship between logged picograms of hair cortisol concentrations and within-camp z score for each reputation metric for each woman: (a) is foraging reputation, (b) is popularity and (c) is logged age. Shaded area represents 95% confidence intervals.

Figure 3

Table 2. Linear mixed-effects model results explaining cortisol concentration variance in the Hadza woman

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