Corrigendum to “Life history strategy as a mediator between childhood environmental unpredictability and adulthood personality” [Personality and Individual Differences 117 (2017) 215–219]

2018 ◽  
Vol 132 ◽  
pp. 133
Author(s):  
Bin-Bin Chen ◽  
Zeyi Shi ◽  
Shijin Sun
Author(s):  
Marco Del Giudice

The chapter introduces the basics of life history theory, the concept of life history strategy, and the fast–slow continuum of variation. After reviewing applications to animal behavior and physiology, the chapter reviews current theory and evidence on individual differences in humans as manifestations of alternative life history strategies. The chapter first presents a “basic model” of human life history–related traits, then advances an “extended model” that identifies multiple cognitive-behavioral profiles within fast and slow strategies. Specifically, it is proposed that slow strategies comprise prosocial/caregiving and skilled/provisioning profiles, whereas fast strategies comprise antisocial/exploitative and seductive/creative profiles. The chapter also reviews potential neurobiological markers of life history variation and considers key methodological issues in this area.


Author(s):  
Vahe Dishakjian ◽  
Daniel M T Fessler ◽  
Adam Maxwell Sparks

Abstract Background and objectives Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance, and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual’s underlying relative prioritization of short-term reproduction versus long-term maintenance. Methodology We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling, and machine learning to infer relationships between sleep duration/quality, attitudes about sleep, and biodemographic/psychometric measures of life history strategy (LHS). Results An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: < 6.5 hours (short sleep) and > 8.5 hours (long sleep). LH “fastness” is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep-wake instability, and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters. Conclusions and implications The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where “life history fastness” corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders. LAY Summary Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue.


2017 ◽  
Vol 4 (1) ◽  
pp. 1395310
Author(s):  
Shelia M. Kennison ◽  
Jennifer Byrd-Craven ◽  
Stacey L. Hamilton

2021 ◽  
Author(s):  
◽  
Jody Dorgan

<p>Prior research on attitudes towards the police has largely focused on the relationship between demographic factors and perceptions of the police. These studies have produced inconclusive results, and there is no general consensus why and how demographic factors account for individual differences in attitudes towards the police. Life history theory, a “middle-level” evolutionary theory, is one that has largely been neglected in mainstream criminology, but has been used in the current research to explain individual differences in attitudes towards the police. Two studies, both using an online survey, were conducted to explore the extent to which life history strategy explained individual attitudes towards procedural justice, police legitimacy and police socialization after controlling for demographic factors, previous police interaction and prior arrest. Study one, a university sample of 305 participants and study two, a general population sample of 75 Wellington residents both found support for the application of life history theory being used to explain individual differences in attitudes towards the police. Overall, the current research showed that those with a slower life history strategy were more likely hold more positive perceptions of police legitimacy, procedural justice and police socialization regardless of demographic factors, previous police interaction, and prior arrest.</p>


2014 ◽  
Vol 5 (2) ◽  
pp. 76 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Tomás Cabeza de Baca ◽  
Candace Black

We present empirical tests of the stability of individual differences over the lifespan using a novel methodological technique to combine behavior-genetic data from twin dyads with longitudinal measures of life history-related traits (including health and personality) from non-twin samples.  Using data from The Midlife in the United States (MIDUS) Longitudinal Survey, we constructed a series of “hybrid” models that permitted the estimation of both temporal stability parameters and behavior-genetic variance components to determine the contributions of genetic and environmental influences on individual differences.  Our results indicate that changes in a higher-order factor of life history strategy (Super-K, composed of the K-Factor, Covitality, and Personality) over the study period were very small in magnitude and that this temporal stability is under a considerable degree of shared genetic influence and a substantial degree of non-shared environmental influence, but a statistically non-significant degree of shared environmental influence.  Implications and future directions are discussed. DOI:10.2458/azu_jmmss_v5i1_figueredo


2005 ◽  
Vol 39 (8) ◽  
pp. 1349-1360 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Geneva Vásquez ◽  
Barbara Hagenah Brumbach ◽  
Jon Adam Sefcek ◽  
Beth R. Kirsner ◽  
...  

2015 ◽  
Vol 28 (4pt2) ◽  
pp. 1505-1516 ◽  
Author(s):  
Jenalee R. Doom ◽  
Adrienne A. Vanzomeren-Dohm ◽  
Jeffry A. Simpson

AbstractAccording to evolutionary life history models, environmental harshness and unpredictability can both promote a fast life history strategy characterized by increased risk taking and enacting short-term, opportunistic behaviors. The current longitudinal study tests whether environmental unpredictability during childhood has stronger effects on risky behavior during adolescence than harshness, and whether there may be an early “sensitive period” during which unpredictability has particularly strong and unique effects on these outcomes. Using data from the Minnesota Longitudinal Study of Risk and Adaptation, prospective assessments of environmental unpredictability (changes in residence, cohabitation, and parental occupation) and harshness (mean socioeconomic status) from birth into adolescence were used to predict self-reported externalizing behaviors and substance use at age 16 (N = 220). Exposure to greater early unpredictability (between ages 0 and 5) predicted more externalizing behaviors as well as more alcohol and marijuana use at age 16, controlling for harshness and later unpredictability (between ages 6 and 16). Harshness predicted adolescent substance use, and later unpredictability predicted adolescent externalizing behaviors at the trend level. Early unpredictability and harshness also interacted, such that the highest levels of risk taking occurred in individuals who experienced more early unpredictability and lived in harsher environments. Age 16 externalizing behaviors, but not substance use, mediated the association between early unpredictability and externalizing/criminal behaviors at age 23. We discuss how exposure to early environmental unpredictability may alter biological and social–cognitive functioning from a life history perspective.


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