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The behavioural constellation of deprivation: Causes and consequences

Published online by Cambridge University Press:  11 January 2017

Gillian V. Pepper
Affiliation:
Institute of Neuroscience, Newcastle University, Newcastle NE2 4HH, United Kingdomgillian.pepper@newcastle.ac.ukhttp://gillianpepper.com/
Daniel Nettle
Affiliation:
Institute of Neuroscience, Newcastle University, Newcastle NE2 4HH, United Kingdomdaniel.nettle@newcastle.ac.ukwww.danielnettle.org.uk

Abstract

Socioeconomic differences in behaviour are pervasive and well documented, but their causes are not yet well understood. Here, we make the case that a cluster of behaviours is associated with lower socioeconomic status (SES), which we call “the behavioural constellation of deprivation.” We propose that the relatively limited control associated with lower SES curtails the extent to which people can expect to realise deferred rewards, leading to more present-oriented behaviour in a range of domains. We illustrate this idea using the specific factor of extrinsic mortality risk, an important factor in evolutionary theoretical models. We emphasise the idea that the present-oriented behaviours of the constellation are a contextually appropriate response to structural and ecological factors rather than a pathology or a failure of willpower. We highlight some principles from evolutionary theoretical models that can deepen our understanding of how socioeconomic inequalities can become amplified and embedded. These principles are that (1) small initial disparities can lead to larger eventual inequalities, (2) feedback loops can embed early-life circumstances, (3) constraints can breed further constraints, and (4) feedback loops can operate over generations. We discuss some of the mechanisms by which SES may influence behaviour. We then review how the contextually appropriate response perspective that we have outlined fits with other findings about control and temporal discounting. Finally, we discuss the implications of this interpretation for research and policy.

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Target Article
Copyright
Copyright © Cambridge University Press 2017 

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References

Adams, J. M. (2009) Time for a change of perspective on behaviour change interventions? Addiction 104:1025–26.CrossRefGoogle ScholarPubMed
Adams, J. M. & Nettle, D. (2009) Time perspective, personality and smoking, body mass, and physical activity: An empirical study. British Journal of Health Psychology 14(Pt 1):83105.CrossRefGoogle ScholarPubMed
Adams, J. M. & White, M. (2004) Biological ageing: A fundamental, biological link between socio-economic status and health? European Journal of Public Health 14(3):331–34.CrossRefGoogle ScholarPubMed
Adams, J. M. & White, M. (2009) Time perspective in socioeconomic inequalities in smoking and body mass index. Health Psychology 28(1):8390.CrossRefGoogle ScholarPubMed
Aizer, A. & Currie, J. (2014) The intergenerational transmission of inequality: Maternal disadvantage and health at birth. Science 344(6186):856–61.CrossRefGoogle ScholarPubMed
Anderson, E. (1994) The Code of the Streets. The Atlantic (May):pp. 111.Google Scholar
Andreoni, J. & Sprenger, C. (2012) Risk preferences are not time preferences. American Economic Review 102(7):3357–76.CrossRefGoogle Scholar
Anokhin, A. P., Golosheykin, S., Grant, J. D. & Heath, A. C. (2011) Heritability of delay discounting in adolescence: A longitudinal twin study. Behavior Genetics 41(2):175–83.CrossRefGoogle ScholarPubMed
Bari, A. & Robbins, T. W. (2013) Inhibition and impulsivity: Behavioral and neural basis of response control. Progress in Neurobiology 108:4479.CrossRefGoogle ScholarPubMed
Barón, J. D. (2009) Exploring the factors associated with youths' educational outcomes: The role of locus of control and parental socio-economic background. CPFR Discussion Papers 598, Centre for Economic Policy Research, Research School of Economics, Australian National University. Available at: https://ideas.repec.org/p/auu/dpaper/598.html.Google Scholar
Bateman, A. J. (1948) Intra-sexual selection in drosophila. Heredity 2:349–68.CrossRefGoogle ScholarPubMed
Beaver, J. D., Lawrence, A. D., Van Ditzhuijzen, J., Davis, M. H., Woods, A. & Calder, A. J. (2006) Individual differences in reward drive predict neural responses to images of food. Journal of Neuroscience 26(19):5160–66.CrossRefGoogle ScholarPubMed
Belsky, J. & Pluess, M. (2009) Beyond diathesis stress: Differential susceptibility to environmental influences. Psychological Bulletin 135(6):885908.Google Scholar
Blackwell, D. L., Hayward, M. D. & Crimmins, E. M. (2001) Does childhood health affect chronic morbidity in later life? Social Science and Medicine 52(8):1269–84.CrossRefGoogle ScholarPubMed
Blanden, J. & Gregg, P. (2004) Family income and educational attainment: A review of approaches and evidence for Britain. Oxford Review of Economic Policy 20(2):245–63.CrossRefGoogle Scholar
Bolland, J. M. (2003) Hopelessness and risk behaviour among adolescents living in high-poverty inner-city neighbourhoods. Journal of Adolescence 26(2):145–58.CrossRefGoogle ScholarPubMed
Bolte, G., Tamburlini, G. & Kohlhuber, M. (2010) Environmental inequalities among children in Europe – Evaluation of scientific evidence and policy implications. European Journal of Public Health 20(1):1420.CrossRefGoogle ScholarPubMed
Borgerhoff Mulder, B., Bowles, S., Hertz, T., Bell, A., Beise, J., Clark, G., Fazzio, I., Gurven, M., Hill, K., Hooper, P. L., Irons, W., Kaplan, H., Leonetti, D., Low, B., Marlowe, F., McElreath, R., Naidu, S., Nolin, D., Piraino, P., Quinlan, R., Schniter, E., Sear, R., Shenk, M., Smith, E. A., von Rueden, C. & Wiessner, P. (2009) Intergenerational wealth transmission and the dynamics of inequality in small-scale societies. Science 326(5953):682–88.CrossRefGoogle ScholarPubMed
Borghans, L. & Golsteyn, B. H. H. (2006) Time discounting and the body mass index. Evidence from the Netherlands. Economics and Human Biology 4(1):3961.CrossRefGoogle ScholarPubMed
Borghol, N., Suderman, M., McArdle, W., Racine, A., Hallett, M., Pembrey, M., Hertzman, C., Power, C. & Szyf, M. (2011) Associations with early-life socio-economic position in adult DNA methylation. International Journal of Epidemiology 41(1):6274.CrossRefGoogle ScholarPubMed
Bosma, H., van de Mheen, H. D. & Mackenbach, J. P. (1999) Social class in childhood and general health in adulthood: Questionnaire study of contribution of psychological attributes. BMJ 318(7175):1822.CrossRefGoogle ScholarPubMed
Bowles, S., Smith, E. A. & Borgerhoff Mulder, M. (2010) The emergence and persistence of inequality in premodern societies. Current Anthropology 51(1):717.CrossRefGoogle Scholar
Boyle, M. H. & Offord, D. R. (1986) Smoking, drinking and use of illicit drugs among adolescents in Ontario: Prevalence, patterns of use and sociodemographic correlates. Canadian Medical Association Journal 135(10):1113–21.Google ScholarPubMed
Braveman, P. A., Cubbin, C., Egerter, S., Chideya, S., Marchi, K. S., Metzler, M. & Posner, S. (2005) Socioeconomic status in health research. Journal of the American Medical Association 294(22):2879–88.CrossRefGoogle ScholarPubMed
Brennan, S. L., Henry, M. J., Nicholson, G. C., Kotowicz, M. A. & Pasco, J. A. (2009) Socioeconomic status and risk factors for obesity and metabolic disorders in a population-based sample of adult females. Preventive Medicine 49 (2–3):165–71.CrossRefGoogle Scholar
Brezina, T. (2004) The code of the street: A quantitative assessment of Elijah Anderson's subculture of violence thesis and its contribution to youth violence research. Youth Violence and Juvenile Justice 2(4):303–28.CrossRefGoogle Scholar
Brezina, T., Tekin, E. & Topalli, V. (2009) “Might not be a tomorrow”: A multi-methods approach to anticipated early death and youth crime. Criminology 47(4):1091–129.CrossRefGoogle Scholar
Brito, N. H. & Noble, K. G. (2014) Socioeconomic status and structural brain development. Frontiers in Neuroscience 8:112.CrossRefGoogle ScholarPubMed
Brown, W. T. & Jones, J. M. (2004) The substance of things hoped for: A study of the future orientation, minority status perceptions, academic engagement, and academic performance of black high school students. Journal of Black Psychology 30(2):248–73.CrossRefGoogle Scholar
Bulled, N. L. & Sosis, R. (2010) Examining the relationship between life expectancy, reproduction, and educational attainment. Human Nature 21(3):269–89.Google Scholar
Bulley, A., Henry, J. D. & Suddendorf, T. (2016) Prospection and the present moment: The role of episodic foresight in intertemporal choices between immediate and delayed rewards. Review of General Psychology 20(1):2947.CrossRefGoogle Scholar
Callan, M. J., Willshead, N. & Olson, J. (2009) Foregoing the labor for the fruits: The effect of just world threat on the desire for immediate monetary rewards. Journal of Experimental Social Psychology 45(1):246–49.CrossRefGoogle Scholar
Case, A., Fertig, A. & Paxson, C. (2005) The lasting impact of childhood health and circumstance. Journal of Health Economics 24(2):365–89.CrossRefGoogle ScholarPubMed
Chabris, C. F., Laibson, D., Morris, C. L., Schuldt, J. P. & Taubinsky, D. (2008) Individual laboratory-measured discount rates predict field behavior. Journal of Risk and Uncertainty 37 (2–3):237–69.Google Scholar
Chisholm, J. S., Ellison, P. T., Evans, J., Lee, P. C., Lieberman, L. S., Pavlik, Z., Ryan, A. S., Salter, E. M., Stini, W. A. & Worthman, C. M. (1993) Death, hope, and sex: Life-history theory and the development of reproductive strategies. Current Anthropology 34(1):124.CrossRefGoogle Scholar
Chowdry, H., Crawford, C. & Goodman, A. (2011) The role of attitudes and behaviours in explaining socio-economic differences in attainment at age 16. Longitudinal and Life Course Studies 2(1):5976.Google Scholar
Christakis, N. A. & Fowler, J. H. (2007) The spread of obesity in a large social network over 32 years. New England Journal of Medicine 357(4):370–79.Google Scholar
Christakis, N. A. & Fowler, J. H. (2008) The collective dynamics of smoking in a large social network. New England Journal of Medicine 358(21):2249–58.CrossRefGoogle Scholar
Cichoń, M. (1997) Evolution of longevity through optimal resource allocation. Proceedings of the Royal Society B: Biological Sciences 264:1383–88.Google Scholar
Cobb-Clark, D., Kassenboehmer, S. & Sinning, M. (2013) Locus of control and savings. Ruhr Economic Papers 455:148.Google Scholar
Cubbin, C., LeClere, F. B. & Smith, G. S. (2000) Socioeconomic status and injury mortality: Individual and neighbourhood determinants. Journal of Epidemiology and Community Health 54(7):517–24.CrossRefGoogle ScholarPubMed
Dalley, J. W., Everitt, B. J. & Robbins, T. W. (2011) Impulsivity, compulsivity, and top-down cognitive control. Neuron 69(4):680–94.CrossRefGoogle ScholarPubMed
Daly, M. & Wilson, M. (1988) Homicide, 3rd ed. Aldine de Gruyter.Google ScholarPubMed
Daly, M. & Wilson, M. (2001) Risk-taking, intrasexual competition, and homicide. Nebraska Symposium on Motivation 47:136.Google ScholarPubMed
Daly, M. & Wilson, M. (2005) Carpe diem: Adaptation and devaluing the future. Quarterly Review of Biology 80(1):5560.Google Scholar
Daly, M., Wilson, M. & Vasdev, S. (2001) Income inequality and homicide rates in Canada and the United States. Canadian Journal of Criminology 43:219–36.Google Scholar
Daniel, J. Z., Hickman, M., Macleod, J., Wiles, N., Lingford-Hughes, A., Farrell, M., Araya, R., Skapinakis, P., Haynes, J. & Lewis, G. (2009) Is socioeconomic status in early life associated with drug use? A systematic review of the evidence. Drug and Alcohol Review 28(2):142–53.CrossRefGoogle ScholarPubMed
Darmon, N. & Drewnowski, A. (2008) Does social class predict diet quality? American Journal of Clinical Nutrition 87:1107–17.Google Scholar
Dassen, F. C. M., Houben, K. & Jansen, A. (2015) Time orientation and eating behavior: Unhealthy eaters consider immediate consequences, while healthy eaters focus on future health. Appetite 91:1319.CrossRefGoogle ScholarPubMed
Daugherty, J. R. & Brase, G. L. (2010) Taking time to be healthy: Predicting health behaviors with delay discounting and time perspective. Personality and Individual Differences 48(2):202207.Google Scholar
Del Giudice, M., Gangestad, S. W., Kaplan, H. S. & Gangestad, S. W. (2004) Life history theory and evolutionary psychology. In: The handbook of evolutionary psychology, vol. 2, ed. Buss, D. M., pp. 6895. Wiley.Google Scholar
DeWit, H., Flory, J., Acheson, A., Mccloskey, M. & Manuck, S. (2007) IQ and nonplanning impulsivity are independently associated with delay discounting in middle-aged adults. Personality and Individual Differences 42(1):111–21.Google Scholar
Droomers, M., Schrijvers, C. T., Stronks, K., van de Mheen, D. & Mackenbach, J. P. (1999) Educational differences in excessive alcohol consumption: The role of psychosocial and material stressors. Preventive Medicine 29(1):110.Google Scholar
Droomers, M., Schrijvers, C. T., van de Mheen, H. & Mackenbach, J. P. (1998) Educational differences in leisure-time physical inactivity: A descriptive and explanatory study. Social Science and Medicine 47(11):1665–76.Google Scholar
Drukker, M., Kaplan, C., Feron, F. & van Os, J. (2003) Children's health-related quality of life, neighbourhood socio-economic deprivation and social capital. A contextual analysis. Social Science and Medicine 57(5):825–41.CrossRefGoogle ScholarPubMed
Drukker, M. & van Os, J. (2003) Mediators of neighbourhood socioeconomic deprivation and quality of life. Social Psychiatry and Psychiatric Epidemiology 38(12):698706.CrossRefGoogle ScholarPubMed
Duckworth, A. L. & Seligman, M. E. P. (2006) Self-discipline gives girls the edge: Gender in self-discipline, grades, and achievement test scores. Journal of Educational Psychology 98(1):198208.CrossRefGoogle Scholar
Dunkel, C. & Kruger, D. J. (2014) The evolved psychology of time perspective. In: Time perspective theory, research, and application: Essays in honor of Philip G. Zimbardo, ed. Fieulaine, W. V. N. & Stolarski, M., pp. 157–67. Springer.Google Scholar
Elgar, F. J. & Aitken, N. (2011) Income inequality, trust and homicide in 33 countries. European Journal of Public Health 21(2):241–46.CrossRefGoogle ScholarPubMed
Entringer, S., Epel, E. S., Kumsta, R., Lin, J., Hellhammer, D. H., Blackburn, E. H., Wust, S. & Wadhwa, P. D. (2011) Stress exposure in intrauterine life is associated with shorter telomere length in young adulthood. Proceedings of the National Academy of Sciences of the United State of America 108(33):E513–18. Available at: http://doi.org/10.1073/pnas.1107759108.Google Scholar
Esposito, E. A., Jones, M. J., Doom, J. R., MacIsaac, J. L., Gunnar, M. R. & Kobor, M. S. (2016) Differential DNA methylation in peripheral blood mononuclear cells in adolescents exposed to significant early but not later childhood adversity. Development and Psychopathology 28(4 pt. 2): 115.CrossRefGoogle Scholar
Everson, S. A., Maty, S. C., Lynch, J. W. & Kaplan, G. (2002) Epidemiologic evidence for the relation between socioeconomic status and depression, obesity, and diabetes. Journal of Psychosomatic Research 53(4):891–95.Google Scholar
Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D. & Sunde, U. (2015) The nature and predictive power of preferences: Global evidence. IZA Discussion Paper Series 9504:176.Google Scholar
Flouri, E. (2006) Parental interest in children's education, children's self-esteem and locus of control, and later educational attainment: Twenty-six year follow-up of the 1970 British Birth Cohort. British Journal of Educational Psychology 76(Pt 1):4155.Google Scholar
Franken, I. H. A. & Muris, P. (2005) Individual differences in reward sensitivity are related to food craving and relative body weight in healthy women. Appetite 45(2):198201.Google Scholar
Frankenhuis, W. E. & de Weerth, C. (2013) Does early-life exposure to stress shape or impair cognition? Current Directions in Psychological Science 22(5):407–12.CrossRefGoogle Scholar
Frankenhuis, W. E., Panchanathan, K. & Nettle, D. (2016) Cognition in harsh and unpredictable environments. Current Opinion in Psychology 7:7680.Google Scholar
Fritsche, I., Fischer, P., Koranyi, N., Berger, N. & Fleischmann, B. (2007) Mortality salience and the desire for offspring. Journal of Experimental Social Psychology 43(5):753–62.CrossRefGoogle Scholar
Geronimus, A. T. (1996) What teen mothers know. Human Nature 7(4):323–52.Google Scholar
Ghosal, S., Jana, S., Mani, A., Mitra, S., Delhi, I. S. I. & Roy, S. (2013) Sex workers, stigma and self-belief: Evidence from a psychological training program in India. Available at: https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=NEUDC2013&paper_id=403.Google Scholar
Gianaros, P. J., Horenstein, J. A., Hariri, A. R., Sheu, L. K., Manuck, S. B., Matthews, K. A. & Cohen, S. (2008) Potential neural embedding of parental social standing. Social Cognitive and Affective Neuroscience 3(2):9196.Google Scholar
Gibbons, F. X., Houlihan, A. E. & Gerrard, M. (2009) Reason and reaction: The utility of a dual-focus, dual-processing perspective on promotion and prevention of adolescent health risk behaviour. British Journal of Health Psychology 14(Pt 2):231–48.CrossRefGoogle ScholarPubMed
Gifford, R. & Nilsson, A. (2014) Personal and social factors that influence pro-environmental concern and behaviour: A review. International Journal of Psychology 49(3):141–57.Google Scholar
Gilmore, A. B. C., McKee, M. & Rose, R. (2002) Determinants of and inequalities in self-perceived health in Ukraine. Social Science and Medicine 55(12):2177–88.Google Scholar
Girasek, D. C. (2001) Public beliefs about the preventability of unintentional injury deaths. Accident; Analysis and Prevention 33(4):455–65.CrossRefGoogle ScholarPubMed
Gluckman, P. D. & Hanson, M. A. (2004) Living with the past: Evolution, development, and patterns of disease. Science 305(5691):1733–36.CrossRefGoogle ScholarPubMed
Godfrey, K. M., Gluckman, P. D. & Hanson, M. A. (2010) Developmental origins of metabolic disease: Life course and intergenerational perspectives. Trends in Endocrinology and Metabolism 21(4):199205.Google Scholar
Goei, R., Boyson, A. R., Lyon-Callo, S. K., Schott, C., Wasilevich, E. & Cannarile, S. (2010) An examination of EPPM predictions when threat is perceived externally: An asthma intervention with school workers. Health Communication 25(4):333–44.CrossRefGoogle ScholarPubMed
Greenberg, J., Pyszczynski, . & Solomon, S. (1986) The causes and consequences of a need for self-esteem: A Terror Management Theory. In: Public self and private self, ed. Baumeister, R. F., pp. 189212. Springer.Google Scholar
Griskevicius, V., Delton, A. W., Robertson, T. E. & Tybur, J. M. (2011a) Environmental contingency in life history strategies: The influence of mortality and socioeconomic status on reproductive timing. Journal of Personality and Social Psychology 100(2):241–54.CrossRefGoogle ScholarPubMed
Griskevicius, V., Tybur, J. M., Delton, A. W. & Robertson, T. E. (2011b) The influence of mortality and socioeconomic status on risk and delayed rewards: A life history theory approach. Journal of Personality and Social Psychology 100(6):1015–26.Google Scholar
Grotz, M., Hapke, U., Lampert, T. & Baumeister, H. (2011) Health locus of control and health behaviour: Results from a nationally representative survey. Psychology, Health and Medicine 16(2):129–40.Google Scholar
Gustafsson, P. E., Janlert, U., Theorell, T. & Hammarström, A. (2010) Life-course socioeconomic trajectories and diurnal cortisol regulation in adulthood. Psychoneuroendocrinology 35(4):613–23.Google Scholar
Haas, S. (2008) Trajectories of functional health: The “long arm” of childhood health and socioeconomic factors. Social Science and Medicine 66(4):849–61.CrossRefGoogle ScholarPubMed
Hajat, A., Diez-Roux, A., Franklin, T. G., Seeman, T., Shrager, S., Ranjit, N., Castro, C., Watson, K., Sanchez, B. & Kirschbaum, C. (2010) Socioeconomic and race/ethnic differences in daily salivary cortisol profiles: The multi-ethnic study of atherosclerosis. Psychoneuroendocrinology 35(6):932–43.CrossRefGoogle ScholarPubMed
Hakes, J. K. & Viscusi, W. K. (2004) Dead reckoning: Demographic determinants of the accuracy of mortality risk perceptions. Risk Analysis 24(3):651–64.Google Scholar
Hango, D. (2007) Parental investment in childhood and educational qualifications: Can greater parental involvement mediate the effects of socioeconomic disadvantage? Social Science Research 36(4):1371–90.CrossRefGoogle Scholar
Hariri, A. R., Brown, S. M., Williamson, D. E., Flory, J. D., de Wit, H. & Manuck, S. B. (2006) Preference for immediate over delayed rewards is associated with magnitude of ventral striatal activity. Journal of Neuroscience: The Official Journal of the Society for Neuroscience 26(51):13213–17.Google Scholar
Harrell, J., Bangdiwala, S., Deng, S., Webb, J. & Bradley, C. (1998) Smoking initiation in youth: The roles of gender, race, socioeconomics, and developmental status. Journal of Adolescent Health 23:271–79.Google Scholar
Harris, B. N. & Saltzman, W. (2013) Effects of aging on hypothalamic-pituitary-adrenal (HPA) axis activity and reactivity in virgin male and female California mice (Peromyscus californicus). General and Comparative Endocrinology 186:4149.Google Scholar
Harvey, P. H. & Zammuto, R. M. (1985) Patterns of mortality and age at first reproduction in natural populations of mammals. Nature 315:319–20.CrossRefGoogle ScholarPubMed
Haushofer, J. & Fehr, E. (2014) On the psychology of poverty. Science 344(6186):862–67.Google Scholar
Haushofer, J., Schunk, D. & Fehr, E. (2013) Negative income shocks increase discount rates. University of Zurich Working Paper.Google Scholar
Haussmann, M. F., Longenecker, A. S., Marchetto, N. M., Juliano, S. A. & Bowden, R. M. (2012) Embryonic exposure to corticosterone modifies the juvenile stress response, oxidative stress and telomere length. Proceedings of the Royal Society B: Biological Sciences 279(1732):1447–56.Google Scholar
Hill, J. M., Jobling, R., Pollet, T. V. & Nettle, D. (2014) Social capital across urban neighborhoods: A comparison of self-report and observational data. Evolutionary Behavioral Sciences 8(2):5969.Google Scholar
Howlett, E., Kees, J. & Kemp, E. (2008) The role of self-regulation, future orientation, and financial knowledge in long-term financial decisions. Journal of Consumer Affairs 42(2):223–42.Google Scholar
Hudson, C. G. (2005) Socioeconomic status and mental illness: Tests of the social causation and selection hypotheses. American Journal of Orthopsychiatry 75(1):318.Google Scholar
Imamura, M., Tucker, J., Hannaford, P., da Silva, M. O., Astin, M., Wyness, L., Bloemenkamp, K. W. M., Jahn, A., Karro, H., Olsen, J. & Temmerman, M. (2007) Factors associated with teenage pregnancy in the European Union countries: A systematic review. European Journal of Public Health 17(6):630–36.Google Scholar
Infurna, F., Gerstorf, D., Ram, N., Schupp, J. & Wagner, G. (2011) Long-term antecedents and outcomes of perceived control. Psychology and Aging 26(3):559–75.CrossRefGoogle ScholarPubMed
Jacobs, D. & Richardson, A. M. (2008) Economic inequality and homicide in the developed nations from 1975 to 1995. Homicide Studies 12(1):2845.CrossRefGoogle Scholar
Jacobs-Lawson, J. & Hershey, D. (2005) Influence of future time perspective, financial knowledge, and financial risk tolerance on retirement saving behaviors. Financial Services Review 14:331–44.Google Scholar
Johns, S. E. (2010) Perceived environmental risk as a predictor of teenage motherhood in a British population. Health and Place 17(1):122–31.Google Scholar
Kaplan, H. S., Lancaster, J. & Robson, A. (2003) Embodied capital and the evolutionary economics of the human life span. Population and Development Review 29:152–82.Google Scholar
Keizer, K., Lindenberg, S. & Steg, L. (2008) The spreading of disorder. Science 322(5908):1681.Google Scholar
Kelley, N. J. & Schmeichel, B. J. (2015) Thinking about death reduces delay discounting. PLOS ONE 10(12):e0144228.Google Scholar
Kidd, C., Palmeri, H. & Aslin, R. N. (2013) Rational snacking: Young children's decision-making on the marshmallow task is moderated by beliefs about environmental reliability. Cognition 126(1):109–14.Google Scholar
Kiecolt, K., Hughes, M. & Keith, V. (2009) Can a high sense of control and John Henryism be bad for mental health? Sociological Quarterly 50(1985):693714.Google Scholar
Kiernan, K. E. & Huerta, M. C. (2008) Economic deprivation, maternal depression, parenting and children's cognitive and emotional development in early childhood. British Journal of Sociology 59(4):783806.Google Scholar
Kim, B., Sung, Y. S. & McClure, S. M. (2012) The neural basis of cultural differences in delay discounting. Philosophical Transactions of the Royal Society B: Biological Sciences 367(1589):650–56.Google Scholar
Kirby, K. N. (2002) Correlates of delay-discount rates: Evidence from Tsimane' Amerindians of the Bolivian rain forest. Journal of Economic Psychology 23(3):291316.Google Scholar
Kirby, K. N. & Petry, N. M. (2004) Heroin and cocaine abusers have higher discount rates for delayed rewards than alcoholics or non-drug-using controls. Addiction 99:461–71.Google Scholar
Kirby, K. N., Petry, N. M. & Bickel, W. K. (1999) Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology 128(1):7887.Google Scholar
Kirby, K. N., Winston, G. C. & Santiesteban, M. (2005) Impatience and grades: Delay-discount rates correlate negatively with college GPA. Learning and Individual Differences 15(3):213–22.CrossRefGoogle Scholar
Kirkwood, T. B. L. (1977) Evolution of ageing. Nature 270(24):301304.CrossRefGoogle ScholarPubMed
Kirkwood, T. B. L. (2002) Evolution of ageing. Mechanisms of Ageing and Development 123(7):737–45.Google Scholar
Kirkwood, T. B. L. & Austad, S. N. (2000) Why do we age? Nature 408:233–38.Google Scholar
Kirkwood, T. B. L. & Rose, M. (1991) Evolution of senescence: Late survival sacrificed for reproduction. Philosophical Transactions of the Royal Society B: Biological Sciences 332:1524.Google Scholar
Kohlhuber, M., Rebhan, B., Schwegler, U., Koletzko, B. & Fromme, H. (2008) Breastfeeding rates and duration in Germany: A Bavarian cohort study. British Journal of Nutrition 99(5):1127–32.Google Scholar
Kotz, D. & West, R. (2009) Explaining the social gradient in smoking cessation: It's not in the trying, but in the succeeding. Tobacco Control 18(1):4346.Google Scholar
Krieger, N., Williams, D. R. & Moss, N. E. (1997) Measuring social class in US public health research: Concepts, methodologies, and guidelines. Annual Review of Public Health 18(16):341–78.Google Scholar
Kruger, D. J., Reischl, T. & Zimmerman, M. A. (2008) Time perspective as a mechanism for functional developmental adaptation. Journal of Social, Evolutionary, and Cultural Psychology 2(1):122.Google Scholar
Krupp, D. B. (2012) Marital, reproductive, and educational behaviors covary with life expectancy. Archives of Sexual Behavior 41(6):1409–14.Google Scholar
Lachman, M. E. & Weaver, S. L. (1998) The sense of control as a moderator of social class differences in health and well-being. Journal of Personality and Social Psychology 74(3):763–73.Google Scholar
Laghi, F., Liga, F., Baumgartner, E. & Baiocco, R. (2012) Time perspective and psychosocial positive functioning among Italian adolescents who binge eat and drink. Journal of Adolescence 35(5):1277–84.CrossRefGoogle ScholarPubMed
Lakshman, R., McConville, A., How, S., Flowers, J., Wareham, N. & Cosford, P. (2011) Association between area-level socioeconomic deprivation and a cluster of behavioural risk factors: Cross-sectional, population-based study. Journal of Public Health 33(2):234–45.Google Scholar
Lantz, P. M., House, J. S., Lepkowski, J. M., Williams, D. R., Mero, R. P. & Chen, J. (1998) Socioeconomic factors, health behaviors, and mortality. Health (San Francisco) 279(21):1703–708.Google Scholar
Lawlor, D. A., Frankel, S., Shaw, M., Ebrahim, S. & Smith, G. D. (2003) Smoking and ill health: Does lay epidemiology explain the failure of smoking cessation programs among deprived populations? American Journal of Public Health 93(2):266–70.Google Scholar
Lawson, D. W. & Mace, R. (2011) Parental investment and the optimization of human family size. Philosophical Transactions of the Royal Society B: Biological Sciences 366(1563):333–43.Google Scholar
Lea, S., Webley, P. & Levine, R. (1993) The economic psychology of consumer debt. Journal of Economic Psychology 14:85119.Google Scholar
Lee, C., Ford, J. & Gramotnev, H. (2009) The life control scale: Validation with a population cohort of middle-aged Australian women. International Journal of Behavioral Medicine 16(2):148–57.CrossRefGoogle ScholarPubMed
Lee, N. C., Krabbendam, L., Dekker, S., Boschloo, A., de Groot, R. H. M. & Jolles, J. (2012) Academic motivation mediates the influence of temporal discounting on academic achievement during adolescence. Trends in Neuroscience and Education 1(1):4348.Google Scholar
Legleye, S., Janssen, E., Beck, F., Chau, N. & Khlat, M. (2011) Social gradient in initiation and transition to daily use of tobacco and cannabis during adolescence: A retrospective cohort study. Addiction 106(8):1520–31.Google Scholar
Leong, J., Molassiotis, A. & Marsh, H. (2004) Adherence to health recommendations after a cardiac rehabilitation programme in post-myocardial infarction patients: The role of health beliefs, locus of control and psychological status. Clinical Effectiveness in Nursing 8(1):2638.Google Scholar
Lewis, I., Watson, B. & White, K. M. (2013) Extending the explanatory utility of the EPPM beyond fear-based persuasion. Health Communication 28(1):8498.Google Scholar
Leyland, A. H. & Dundas, R. (2010) The social patterning of deaths due to assault in Scotland, 1980–2005: Population-based study. Journal of Epidemiology and Community Health 64(5):432–39.Google Scholar
Li, J.-Z., Gui, D.-Y., Feng, C.-L., Wang, W.-Z., Du, B.-Q., Gan, T. & Luo, Y.-J. (2012) Victims' time discounting 2.5 years after the Wenchuan earthquake: An ERP study. PLOS ONE 7(7):e40316.Google Scholar
Lima-Costa, M. F., Steptoe, A., Cesar, C. C., De Oliveira, C., Proietti, F. A. & Marmot, M. (2012) The influence of socioeconomic status on the predictive power of self-rated health for 6-year mortality in English and Brazilian older adults: The ELSA and Bambui cohort studies. Annals of Epidemiology 22:644–48.Google Scholar
Liu, W. & Aaker, J. (2007) Do you look to the future or focus on today? The impact of life experience on intertemporal decisions. Organizational Behavior and Human Decision Processes 102(2):212–25.Google Scholar
Livingstone, S. M. & Lunt, P. K. (1992) Predicting personal debt and debt repayment: Psychological, social and economic determinants. Journal of Economic Psychology 13(1):111–34.Google Scholar
Loucks, E. B., Pilote, L., Lynch, J. W., Richard, H., Almeida, N. D., Benjamin, E. J. & Murabito, J. M. (2010) Life course socioeconomic position is associated with inflammatory markers: The Framingham offspring study. Social Science and Medicine 71(1):187–95.Google Scholar
Low, B. S., Hazel, A., Parker, N. & Welch, K. B. (2008) Influences on women's reproductive lives: Unexpected ecological underpinnings. Cross-Cultural Research 42(3):201–19.Google Scholar
Low, B. S., Parker, N., Hazel, A. & Welch, K. B. (2013) Life expectancy, fertility, and women's lives: A life-history perspective. Cross-Cultural Research 47(2):198225.Google Scholar
Lundberg, J., Bobak, M., Malyutina, S., Kristenson, M. & Pikhart, H. (2007) Adverse health effects of low levels of perceived control in Swedish and Russian community samples. BMC Public Health 7:314. Available at: http://doi.org/10.1186/1471-2458-7-314.Google Scholar
Lupie, S. J., King, S., Meaney, M. J. & McEwen, B. S. (2001) Can poverty get under your skin? Basal cortisol levels and cognitive function in children from low and high socioeconomic status. Development and Psychopathology 13(3):653–76.CrossRefGoogle Scholar
Luttbeg, B. & Sih, A. (2010) Risk, resources and state-dependent adaptive behavioural syndromes. Philosophical Transactions of the Royal Society B: Biological Sciences 365(1560):3977–90.Google Scholar
Ma, Y., Wang, C. & Han, S. (2011) Neural responses to perceived pain in others predict real-life monetary donations in different socioeconomic contexts. NeuroImage 57(3):1273–80.Google Scholar
Mackenbach, J. P. (2012) The persistence of health inequalities in modern welfare states: The explanation of a paradox. Social Science and Medicine 75(4):761–69.Google Scholar
Mäkelä, P. (1999) Alcohol-related mortality as a function of socio-economic status. Addiction 94(6):867–86.Google Scholar
Marko, K. & Savickas, M. (1998) Effectiveness of a career time perspective intervention. Journal of Vocational Behavior 52:106–19.Google Scholar
Markowitz, F. (2003) Socioeconomic disadvantage and violence: Recent research on culture and neighborhood control as explanatory mechanisms. Aggression and Violent Behavior 8(2):145–54.CrossRefGoogle Scholar
Marmot, M. (2006) Status syndrome: A challenge to medicine. Journal of the American Medical Association 295(11):1304–307.Google Scholar
Mathews, P. & Sear, R. (2008) Life after death: An investigation into how mortality perceptions influence fertility preferences using evidence from an internet-based experiment. Journal of Evolutionary Psychology 6(3):155–72.Google Scholar
Mayr, E. (1961) Cause and effect in biology. Science 134:1501–506.Google Scholar
McLaren, L. (2007) Socioeconomic status and obesity. Epidemiologic Reviews 29:2948.Google Scholar
Medawar, P. B. (1952) An unsolved problem of biology. Lewis.Google Scholar
Méjean, C., Droomers, M., van der Schouw, Y. T., Sluijs, I., Czernichow, S., Grobbee, D. E., Bueno-de-Mesquita, H. B. & Beulens, J. W. J. (2013) The contribution of diet and lifestyle to socioeconomic inequalities in cardiovascular morbidity and mortality. International Journal of Cardiology 168:5190–95.Google Scholar
Melotti, R., Heron, J., Hickman, M., Macleod, J., Araya, R. & Lewis, G. (2011) Adolescent alcohol and tobacco use and early socioeconomic position: The ALSPAC birth cohort. Pediatrics 127(4):e948–55.Google Scholar
Michaelson, L., de la Vega, A., Chatham, C. H. & Munakata, Y. (2013) Delaying gratification depends on social trust. Frontiers in Psychology 4:355. Available at: http://doi.org/10.3389/fpsyg.2013.00355.Google Scholar
Miller, G. E., Chen, E., Fok, A. K., Walker, H., Lim, A., Nicholls, E. F., Cole, S. & Kobor, M. S. (2009) Low early-life social class leaves a biological residue manifested by decreased glucocorticoid and increased proinflammatory signaling. Proceedings of the National Academy of Sciences of the United States of America 106(34):14716–21.Google Scholar
Miller, G. E., Chen, E. & Parker, K. J. (2011) Psychological stress in childhood and susceptibility to the chronic diseases of aging: Moving toward a model of behavioral and biological mechanisms. Psychological Bulletin 137(6):959–97.Google Scholar
Mirowsky, J. & Ross, C. (2000) Socioeconomic status and subjective life expectancy. Social Psychology Quarterly 63(2):133–51.Google Scholar
Mirowsky, J., Ross, C. & Van Willigen, M. (1996) Instrumentalism in the land of opportunity: Socioeconomic causes and emotional consequences. Social Psychology Quarterly 59(4):322–37.Google Scholar
Mitchell, S. H. (2011) The genetic basis of delay discounting and its genetic relationship to alcohol dependence. Behavioural Processes 87(1):1017.Google Scholar
Mobley, L. R., Root, E. D., Finkelstein, E. A., Khavjou, O., Farris, R. P. & Will, J. C. (2006) Environment, obesity, and cardiovascular disease risk in low-income women. American Journal of Preventive Medicine 30(4):327–32.Google Scholar
Muntaner, C., Eaton, W. W., Miech, R. & O'Campo, P. (2004) Socioeconomic position and major mental disorders. Epidemiologic Reviews 26:5362.Google Scholar
Nagin, D. S. & Pogarsky, G. (2004) Time and punishment: Delayed consequences and criminal behavior. Journal of Quantitative Criminology 20(4):295317.CrossRefGoogle Scholar
Nettle, D. (2010a) Dying young and living fast: Variation in life history across English neighborhoods. Behavioral Ecology 21(2):387–95.Google Scholar
Nettle, D. (2010b) Why are there social gradients in preventative health behavior? A perspective from behavioral ecology. PLOS ONE 5 (10), e13371.Google Scholar
Nettle, D. (2011) Flexibility in reproductive timing in human females: Integrating ultimate and proximate explanations. Philosophical Transactions of the Royal Society B: Biological Sciences 366(1563):357–65.Google Scholar
Nettle, D. (2014) What the future held: Childhood psychosocial adversity is associated with health deterioration through adulthood in a cohort of British women. Evolution and Human Behaviour 35(6):519–25.Google Scholar
Nettle, D. (2015) Tyneside neighbourhoods: Deprivation, social life and social behaviour in one British city. Open Book. Available at: http://doi.org/10.1007/s13398-014-0173-7.2.Google Scholar
Nettle, D., Coall, D. A. & Dickins, T. E. (2011) Early-life conditions and age at first pregnancy in British women. Proceedings of the Royal Society B: Biological Sciences 278:1721–27.Google Scholar
O'Hea, E. L., Grothe, K. B., Bodenlos, J. S., Boudreaux, E. D., White, M. A. & Brantley, P. J. (2005) Predicting medical regimen adherence: The interactions of health locus of control beliefs. Journal of Health Psychology 10(5):705717.Google Scholar
Ouellet-Morin, I., Odgers, C. L., Danese, A., Bowes, L., Shakoor, S., Papadopoulos, A. S., Caspi, A., Moffitt, T. E. & Arseneault, L. (2011) Blunted cortisol responses to stress signal social and behavioral problems among maltreated/bullied 12-year-old children. Biological Psychiatry 70(11):1016–23.Google Scholar
Palloni, A., Milesi, C., White, R. G. & Turner, A. (2009) Early childhood health, reproduction of economic inequalities and the persistence of health and mortality differentials. Social Science and Medicine 68(9):1574–82.CrossRefGoogle ScholarPubMed
Pampel, F. C., Krueger, P. & Denney, J. (2010) Socioeconomic disparities in health behaviors. Annual Review of Sociology 36:349–70.Google Scholar
Pepper, G. V. & Nettle, D. (2013) Death and the time of your life: Experiences of close bereavement are associated with steeper financial future discounting and earlier reproduction. Evolution and Human Behavior 34(6):433–39.Google Scholar
Pepper, G. V. & Nettle, D. (2014a) Out of control mortality matters: The effect of perceived uncontrollable mortality risk on a health-related decision. PeerJ 2(e459):124.Google Scholar
Pepper, G. V. & Nettle, D. (2014b) Perceived extrinsic mortality risk and reported effort in looking after health: Testing a behavioural ecological prediction. Human Nature 25(3):378–92.Google Scholar
Pepper, G. V. & Nettle, D. (2014c) Socioeconomic disparities in health behaviour: An evolutionary perspective. In: Applied evolutionary anthropology: Darwinian approaches to contemporary world issues, ed. Lawson, D. W. & Gibson, M., pp. 225–39. Springer.Google Scholar
Perry, V. G. & Morris, M. D. (2005) Who is in control? The role of self-perception, knowledge, and income in explaining consumer financial behavior. Journal of Consumer Affairs 39(2):299313.Google Scholar
Pickett, K. E., Mookherjee, J. & Wilkinson, R. G. (2005) Adolescent birth rates, total homicides, and income inequality in rich countries. American Journal of Public Health 95(7):1181–83.Google Scholar
Piketty, T. (2015) About capital in the twenty-first century. American Economic Review: Papers and Proceedings 105(5):4853.Google Scholar
Piketty, T. & Saez, E. (2014) Income inequality in Europe and the United States. Science 344(6186):838–43.Google Scholar
Placek, C. D. & Quinlan, R. J. (2012) Adolescent fertility and risky environments: A population-level perspective across the lifespan. Proceedings of the Royal Society B: Biological Sciences 279(1744):40034008.Google Scholar
Poortinga, W., Dunstan, F. D. & Fone, D. L. (2008) Health locus of control beliefs and socio-economic differences in self-rated health. Preventive Medicine 46(4):374–80.Google Scholar
Price, M., Lee, M. & Higgs, S. (2013) Impulsivity, eating behaviour and performance on a delay discounting task. Appetite 71:483.Google Scholar
Promislow, D. E. L. & Harvey, P. H. (1990) Living fast and dying young: A comparative analysis of life history variation among mammals. Journal of Zoology 220(3):417–37.Google Scholar
Quinlan, R. J. (2007) Human parental effort and environmental risk. Proceedings of the Royal Society B: Biological Sciences 274(1606):121–25.Google Scholar
Quinlan, R. J. (2010) Extrinsic mortality effects on reproductive strategies in a Caribbean community. Human Nature 21(2):124–39.Google Scholar
Ramos, D., Victor, T., Seidl-de-Moura, M. L. & Daly, M. (2013) Future discounting by slum-dwelling youth versus university students in Rio de Janeiro. Journal of Research on Adolescence 23(1):95102.Google Scholar
Redelings, M., Lieb, L. & Sorvillo, F. (2010) Years off your life? The effects of homicide on life expectancy by neighborhood and race/ethnicity in Los Angeles County. Journal of Urban Health 87(4):670–76.Google Scholar
Reimers, S., Maylor, E. A., Stewart, N. & Chater, N. (2009) Associations between a one-shot delay discounting measure and age, income, education and real-world impulsive behavior. Personality and Individual Differences 47(8):973–78.Google Scholar
Revesz, D., Milaneschi, Y., Terpstra, E. M. & Penninx, B. W. J. H. (2016) Baseline biopsychosocial determinants of telomere length and 6-year attrition rate. Psychoneuroendocrinology 67:153–62.Google Scholar
Robb, K. A., Simon, A. E. & Wardle, J. (2009) Socioeconomic disparities in optimism and pessimism. International Journal of Behavioral Medicine 16(4):331–38.Google Scholar
Romer, D., Duckworth, A. L., Sznitman, S. & Park, S. (2010) Can adolescents learn self-control? Delay of gratification in the development of control over risk taking. Prevention Science 11(3):319–30.Google Scholar
Ross, C. E. & Wu, C. (1995) The links between education and health. American Sociological Review 60(5):719–45.Google Scholar
Schroeder, K. B., Pepper, G. V. & Nettle, D. (2014) Local norms of cheating and the cultural evolution of crime and punishment: A study of two urban neighborhoods. PeerJ 2(e450):123.Google Scholar
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J. & Griskevicius, V. (2007) The constructive, destructive, and reconstructive power of social norms. Psychological Science 18(5):429–34.Google Scholar
Scott-Phillips, T. C., Dickins, T. E. & West, S. A. (2011) Evolutionary theory and the ultimate-proximate distinction in the human behavioral sciences. Perspectives on Psychological Science 6(1):3847.Google Scholar
Shalev, I., Moffitt, T. E., Sugden, K., Williams, B., Houts, R. M., Danese, A., Mill. J., Aresnault, L. & Caspi, A. (2012) Exposure to violence during childhood is associated with telomere erosion from 5 to 10 years of age: A longitudinal study. Molecular Psychiatry 18(5):576–81.Google Scholar
Shapiro, J. & Wu, S. (2011) Fatalism and savings. Journal of Socio-Economics 40(5):645–51.Google Scholar
Shaw, M., Tunstall, H. & Dorling, D. (2005) Increasing inequalities in risk of murder in Britain: Trends in the demographic and spatial distribution of murder, 1981–2000. Health and Place 11:4554.Google Scholar
Sheeran, P., Gollwitzer, P. M. & Bargh, J. A. (2013) Nonconscious processes and health. Health Psychology 32(5):460–73.Google Scholar
Sherman, A. K., Minich, S. H., Langen, T. A., Skufca, J. & Wilke, A. (2015) Are college students' assessments of threat shaped by the dangers of their childhood environment? Journal of Interpersonal Violence 31(11):20062025.Google Scholar
Sirin, S. R. (2005) Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research 75(3):417–53.Google Scholar
Smith, B., Sullivan, E., Bauman, A., Powell-Davies, G. & Mitchell, J. (1999) Lay beliefs about the preventability of major health conditions. Health Education Research 14(3):315–25.Google Scholar
Smith, G. D. (1993) Socioeconomic differentials in wealth and health. British Medical Journal 307(6912):1085–86.Google Scholar
Sozou, P. D. & Seymour, R. M. (2003) Augmented discounting: Interaction between ageing and time-preference behaviour. Proceedings of the Royal Society B: Biological Sciences 270(1519):1047–53.Google Scholar
Stearns, S. C. (1992) The evolution of life histories. Oxford University Press.Google Scholar
Stearns, S. C., Ackermann, M., Doebeli, M. & Kaiser, M. (2000) Experimental evolution of aging, growth, and reproduction in fruitflies. Proceedings of the National Academy of Sciences of the United States of America 97(7):3309–13.Google Scholar
Sterling, T. & Weinkam, J. (1990) The confounding of occupation and smoking and its consequences. Social Science and Medicine 30(4):457–67.Google Scholar
Stewart Williams, J. & Cunich, M. B. (2013) The impact of socioeconomic status on changes in the general and mental health of women over time: Evidence from a longitudinal study of Australian women. International Journal for Equity in Health 12(1):2535.Google Scholar
Stice, E., Spoor, S., Bohon, C., Veldhuizen, M. G. & Small, D. M. (2008) Relation of reward from food intake and anticipated food intake to obesity: A functional magnetic resonance imaging study. Journal of Abnormal Psychology 117(4):924–35.Google Scholar
Störmer, C. & Lummaa, V. (2014) Increased mortality exposure within the family rather than individual mortality experiences triggers faster life-history strategies in historic human populations. PLOS ONE 9(1):e83633.Google Scholar
Sunstein, C. R. (2003) Terrorism and probability neglect. Journal of Risk and Uncertainty 26(2):121–36.Google Scholar
Sweitzer, M. M., Halder, I., Flory, J. D., Craig, A. E., Gianaros, P. J., Ferrell, R. E. & Manuck, S. B. (2013) Polymorphic variation in the dopamine D4 receptor predicts delay discounting as a function of childhood socioeconomic status: Evidence for differential susceptibility. Social Cognitive and Affective Neuroscience 8(5):499508.Google Scholar
Tanaka, B. T., Camerer, C. F. & Nguyen, Q. (2010) Risk and time preferences: Linking experimental and household survey data from Vietnam. American Economic Journal: Microeconomics 100(1):557–71.Google Scholar
Taylor, S. E., Lehman, B. J., Kiefe, C. I. & Seeman, T. E. (2006) Relationship of early life stress and psychological functioning to adult C-reactive protein in the coronary artery risk development in young adults study. Biological Psychiatry 60(8):819–24.Google Scholar
Teuscher, U. & Mitchell, S. (2011) Relation between time perspective and delay discounting: A literature review. Psychological Record 61:613–32.Google Scholar
Tinbergen, N. (1963) On aims and methods of ethology. Zeitschrift Für Tierpsychologie 20:410–33.Google Scholar
Turkheimer, E., Haley, A., Waldron, M., D'Onofrio, B. & Gottesman, I. I. (2003) Socioeconomic status modifies heritability of IQ in young children. Psychological Science 14(6):623–28.Google Scholar
Turner, R. & Noh, S. (1983) Class and psychological vulnerability among women: The significance of social support and personal control. Journal of Health and Social Behavior 24(1):215.Google Scholar
Tybur, J. M., Bryan, A. D. & Hooper, A. E. C. (2012) An evolutionary perspective on health psychology: New approaches and applications. Evolutionary Psychology 10(5):855–67.Google Scholar
Umberson, D. (1993) Sociodemographic position, world views, and psychological distress. Social Science Quarterly 74(3):575–89.Google Scholar
van Gelder, J.-L., Hershfield, H. E. & Nordgren, L. F. (2013) Vividness of the future self predicts delinquency. Psychological Science 24(6):974–80.Google Scholar
Volkow, N. D., Wang, G. J. & Baler, R. D. (2011) Reward, dopamine and the control of food intake: Implications for obesity. Trends in Cognitive Sciences 15(1):3746.Google Scholar
Wallston, B. & Wallston, K. (1978) Locus of control and health: A review of the literature. Health Education Monographs 6:107–17.Google Scholar
Wallston, K. & Wallston, B. (1981) Health locus of control scales. In: Research with the locus of control construct, vol. 1: Assessment methods, ed. Lefcourt, H. M., pp. 189243. Academic Press.Google Scholar
Wardle, J., Waller, J. & Jarvis, M. J. (2002) Sex differences in the association of socioeconomic status with obesity. American Journal of Public Health 92(8):1299–304.Google Scholar
Weber, B. J. & Chapman, G. B. (2005) The combined effects of risk and time on choice: Does uncertainty eliminate the immediacy effect? Does delay eliminate the certainty effect? Organizational Behavior and Human Decision Processes 96(2):104–18.Google Scholar
Weller, R. E., Cook, E. W., Avsar, K. B. & Cox, J. E. (2008) Obese women show greater delay discounting than healthy-weight women. Appetite 51(3):563–69.Google Scholar
Westendorp, R. & Kirkwood, T. B. L. (1998) Human longevity at the cost of reproductive success. Nature 396:743–46.Google Scholar
White, K. R. (1982) The relation between socioeconomic status and academic achievement. Psychological Bulletin 91(3):461–81.Google Scholar
Whitehead, M., Pennington, A., Orton, L., Nayak, S., Petticrew, M., Sowden, A. & White, M. (2016) How could differences in “control over destiny” lead to socio-economic inequalities in health? A synthesis of theories and pathways in the living environment. Health and Place 39:5161.Google Scholar
Wiers, C. E., Shokri-Kojori, E., Cabrera, E., Cunningham, S., Wong, C., Tomasi, D., Wang, G.-J. & Volkow, N. D. (2016) Socioeconomic status is associated with striatal dopamine D2/D3 receptors in healthy volunteers but not in cocaine abusers. Neuroscience Letters 617:2731.Google Scholar
Williams, G. C. (1957) Pleiotropy, natural selection, and the evolution of senescence. Evolution 11(4):398411.Google Scholar
Williams, G. C. (1966) Adaptation and natural selection. Princeton University Press.Google Scholar
Wilson, M. & Daly, M. (1985) Competitiveness, risk taking, and violence: The young male syndrome. Ethology and Sociobiology 6(1):5973.Google Scholar
Wilson, M. & Daly, M. (1997) Life expectancy, economic inequality, homicide, and reproductive timing in Chicago neighbourhoods. British Medical Journal 314(7089):1271–74.Google Scholar
Wilson, M. & Daly, M. (1998) Sexual rivalry and sexual conflict: Recurring themes in fatal conflicts. Theoretical Criminology 2(3):291310.Google Scholar
Wingfield, J. C. & Sapolsky, R. M. (2003) Reproduction and resistance to stress: When and how. Journal of Neuroendocrinology 15(8):711–24.Google Scholar
Wisman, A. & Goldenberg, J. L. (2005) From the grave to the cradle: Evidence that mortality salience engenders a desire for offspring. Journal of Personality and Social Psychology 89(1):4661.Google Scholar
Witte, K. & Allen, M. (2000) A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education and Behavior 27(5):591615.Google Scholar
Wright, C. E. & Steptoe, A. (2005) Subjective socioeconomic position, gender and cortisol responses to waking in an elderly population. Psychoneuroendocrinology 30(6):582–90.Google Scholar
Zhou, X., Lei, Q., Marley, S. C. & Chen, J. (2009) Existential function of babies: Babies as a buffer of death-related anxiety. Asian Journal of Social Psychology 12(1):4046.Google Scholar
Zimmerman, B. (2000) Self-efficacy: An essential motive to learn. Contemporary Educational Psychology 25(1):8291.Google Scholar