Social status and biological dysregulation: The “status syndrome” and allostatic load

Seeman, Melvin; Merkin, Sharon Stein; Karlamangla, Arun S.; Koretz, Brandon; Seeman, Teresa E.

doi:10.1016/j.socscimed.2014.08.002

Cited by 91 publications

(79 citation statements)

References 31 publications

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“…These findings do not only pertain to US or UK samples (Operario et al, 2004;Seeman et al, 2014;Singh-Manoux et al, 2003, a number of studies also drew on samples from other regions, such as Finland (Karvonen and Rahkonen, 2011), Hungary (Kopp et al, 2004), Indonesia (Nobles et al, 2013), Japan (Sakurai et al, 2010), Taiwan (Collins and Goldman, 2008), or Canada (Dunn et al, 2006). While many of the studies focused on select populations, such as pregnant women (Reitzel et al, 2007), adolescents (Quon and McGrath, 2014), older adults (Garbarski, 2010), or civil service workers (Singh-Manoux et al, 2003, relatively few used representative samples of the general population (Nobles et al, 2013;Sakurai et al, 2010;Wolff et al, 2010).…”

Section: The Subjective Ses-health Relationshipmentioning

confidence: 82%

Subjective Socioeconomic Status and Health in Cross-National Comparison

Präg¹,

Mills²,

Wittek³

2017

Preprint

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Research has established a robust association between subjective socioeconomic status (SES) and health outcomes, which holds over and above the associations between objective markers of SES and health. Furthermore, comparative research on health inequalities has shown considerable variation in the relationship between different objective markers of SES and health across countries. Drawing on data from 29 countries, we present the first crossnational study on the subjective SES-health relationship. For two health outcomes, namely self-rated health (SRH) and psychological wellbeing, we are able to confirm that subjective SES is related to health in all countries under study, even when income, education, and occupational prestige are accounted

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Section: The Subjective Ses-health Relationshipmentioning

confidence: 82%

Subjective Socioeconomic Status and Health in Cross-National Comparison

Präg¹,

Mills²,

Wittek³

2017

Preprint

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“…Cut-points defined by quartiles Seeman et al (1997Seeman et al ( , 2001Seeman et al ( , 2002, Seeman, Crimmins, et al (2004), Seeman, Glei, et al (2004), Kubzansky et al (1999), Karlamangla et al (2002Karlamangla et al ( , 2014, Schnorpfeil et al (2003), Weinstein et al (2003), Hampson et al (2009), Lipowicz et al (2014, Riva et al (2014), Barboza Solís et al (2015), Gale et al (2015), Horan and Widom (2015), McClure et al (2015), Zilioli et al (2015), Hansen et al (2016), Kusano et al (2016), and Robertson and Watts (2016) Cut-points defined by deciles Goldman et al (2005), Glei et al (2007), and Hwang et al (2014) Cut-points defined using clinical criteria Seeman et al (2008), Hampson et al (2009), Bird et al (2010 and Rosenberg et al (2014) Cut-points defined using a combination of clinical criteria and either deciles or quartiles (2015), Gale et al (2015), and Robertson and Watts (2016) Use of two-tailed cut-points Hampson et al (2009) and Hwang et al (2014) Use of recursive partitioning to calculate allostatic load Gruenewald et al (2006) Allostatic load scored by system rather than by biomarkers Karlamangla et al (2014), Seeman et al (2014), Gay et al (2015), and Zilioli et al (2015) Calculated allostatic...…”

Section: Methods Studiesmentioning

confidence: 99%

Allostatic load and biological anthropology

Edes

Crews

2017

American J Phys Anthropol

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Multiple stressors affect developing and adult organisms, thereby partly structuring their phenotypes. Determining how stressors influence health, well-being, and longevity in human and nonhuman primate populations are major foci within biological anthropology. Although much effort has been devoted to examining responses to multiple environmental and sociocultural stressors, no holistic metric to measure stress-related physiological dysfunction has been widely applied within biological anthropology. Researchers from disciplines outside anthropology are using allostatic load indices (ALIs) to estimate such dysregulation and examine life-long outcomes of stressor exposures, including morbidity and mortality. Following allostasis theory, allostatic load represents accumulated physiological and somatic damage secondary to stressors and senescent processes experienced over the lifespan. ALIs estimate this wear-and-tear using a composite of biomarkers representing neuroendocrine, cardiovascular, metabolic, and immune systems. Across samples, ALIs are associated significantly with multiple individual characteristics (e.g., age, sex, education, DNA variation) of interest within biological anthropology. They also predict future outcomes, including aspects of life history variation (e.g., survival, lifespan), mental and physical health, morbidity and mortality, and likely health disparities between groups, by stressor exposures, ethnicity, occupations, and degree of departure from local indigenous life ways and integration into external and commodified ones. ALIs also may be applied to similar stress-related research areas among nonhuman primates. Given the reports from multiple research endeavors, here we propose ALIs may be useful for assessing stressors, stress responses, and stress-related dysfunction, current and long-term cognitive function, health and well-being, and risk of early mortality across many research programs within biological anthropology. K E Y W O R D Saging, allostasis, frailty, growth and development, nonhuman primates, senescence, stress | I N T R O D U C T I O NTraditional research foci within biological anthropology include variations in stress, morbidity, and mortality (for reviews, see Ice & James, 2007;Little, 2010). Despite this long-term focus, the field continues to pursue a reliable, relatively easy to apply metric for assessing lifetime stress and stress-related outcomes. We suggest incorporating the theory of allostasis and methods for assessing allostatic load within anthropological theory and methodology to aid in closing this gap. As a theory, allostasis was developed to explain how mammalian physiological responses to stressors in their environments evolved to maximize the probability of survival while limiting somatic damage (Korte, Koolhaas, Wingfield, & McEwen, 2005;McEwen & Stellar, 1993;McEwen & Wingfield, 2003;Sterling, 2004Sterling, , 2012Sterling & Eyer, 1988). Unfortunately, such beneficial defensive responses come at a cost and, over time, repeated allostatic activi...

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“…As Gallo et al (2014) state, " [T]he allostatic load framework provides an integrative approach that may better characterize the cumulative impact of dynamic and nonlinear influences across major biological regulatory systems." In this way, AL links to a variety of fields focused on the negative impact that stress has on health and wellbeing; particularly across the life-course and across key antecedent socio-ecological factors such as gender, residence, ethnicity, trauma and -a current major focus -health disparities (e.g., Castellani et al, 2014;Mair et al, 2011;Merkin et al, 2014).…”

Section: Allostatic Load As a Complex Systemmentioning

confidence: 99%

“…Second, the causal pathways amongst the allostatic systems for these panels remain under-theorized (Merkin et al, 2014;Schulkin, 2003;Sterling, 2004). For example, waist-to-hip ratio has been related to (a) elevated heart rate and blood pressure, (b) dysregulated-HPA axis activity, (c) decreased high-density lipoprotein (HDL) cholesterol, and (d) high glucose, insulin, and triglyceride levels (Ljung et al, 2000;Wingetal., 1991).…”

Section: The Challenge Of Measuring Allostatic Loadmentioning

confidence: 99%

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The STRIVE-ONR Project: Stress Resistance in Virtual Environments

Buckwalter¹

2015

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any o:her aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any o:her provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE ^DD-MM-WYVj 07/29/2015 REPORTTYPE FINAL TECHNICAL REPORT TITLE AND SUBTITLEThe STRIVE-ONR Project: Stress Resistance in Virtual Environments AUTHOR(S)Buckwalter, J. Galen PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)University of Southern California 3720 S. Flower Street Los Angeles, CA 90007-0701 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Office SPONSOR/MONITOR'S ACRONYM(S) ONR SPONSOR/MONITOR'S REPORT NUMBER(S) SUPPLEMENTARY NOTES ABSTRACT ~STRIVE is a story-driven approach to using virtual reality (VR) for understanding and training psychological resilience in service members prior to a combat deployment. This effort is based on two scientific principles: 1) pre-exposure to traumatic events within a safe environment provides some degree of protection for those later exposed to subsequent trauma and 2) resilience, or the rate and effectiveness with which someone returns to normal after stress, can be strengthened through systematic training. This project created the fifth episode (of six) of STRIVE and also resulted in four papers. Interaction by SMs within such emotionally challenging scenarios aims to provide a more meaningful context in which to learn and practice psychoeducational and cognitive coping strategies that research suggests plays a supportive role in the psychological preparation for a combat deployment. To accomplish this, STRIVE has been designed as a multi-episode interactive narrative in VR, akin to being immersed within a "Band of Brothers" type storyline that spans a typical deployment cycle. We currently have an initial story arc of six episodes created that will be used in the research that is now being proposed. At the end of each of the graded 10-minute episodes, an emotionally challenging event occurs, designed in part from feedback provided by SMs undergoing PTSD VRET (e.g., seeing/handling human remains, direct threat to safety via an IED attack in a vehicle, moral challenges due to culturally relativistic events (wife beating), the death of a civilian child, death of a squad member, grief processing in theatre). At that point in the episode, the virtual worl...

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Social status and biological dysregulation: The “status syndrome” and allostatic load

Cited by 91 publications

References 31 publications

Subjective Socioeconomic Status and Health in Cross-National Comparison

Subjective Socioeconomic Status and Health in Cross-National Comparison

Allostatic load and biological anthropology

The STRIVE-ONR Project: Stress Resistance in Virtual Environments

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