scholarly journals No matter Where You Go, There You Are: The Genetic Foundations of Temporal Stability

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

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


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>


Collabra ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
David A. Sbarra

Objective: Low levels of perceived social integration, or loneliness, are associated with increased risk for a range of poor health outcomes. Sleep disturbance plays a central role in the evolutionary theory of loneliness, which provides a mechanistic account of how low levels of social integration may negatively impact health. No studies, however, have examined whether the association between social integration and sleep disturbance is consistent with a causal effect after accounting for genes that are common to both variables. Method: Using twin data (N = 905 twin pairs) from the nationally-representative Midlife in the United States (MIDUS) survey, I evaluated a series of bivariate twin models exploring whether the phenotypic association between low social integration and sleep disturbance can be explained by shared genetics. In addition, the current study specified a series of quantitative models for studying gene x environment (G X E) interactions to determine whether the genetic and environmental influences on sleep disturbance differ as a function of social integration. Results: The phenotypic association between social integration and sleep disturbance was fully accounted for by genes that are common between the two variables, suggesting that within-twin pair differences in social integration do not exert a causal influence on sleep disturbance. Social integration, however, moderated the non-shared environmental influence on sleep disturbances, with the greatest environmental influences observed at the lowest levels of social integration. Conclusions: The results of this study suggest that an essential feature of the evolutionary model of loneliness may need refinement or elaboration. The moderation findings are discussed in terms of the fit with a stress-buffering model of social support in which environmental influences on sleep disturbance are strongest when social resources are low.


2021 ◽  
Vol 11 (1) ◽  
pp. 1-24
Author(s):  
Aurelio José Figueredo ◽  
Tomás Cabeza de Baca ◽  
George B Richardson

Traditional theories of development and evolutionary developmental psychology propose that early environmental experiences shape an individual’s developmental trajectory. According to the Adaptive Calibration Model (ACM), for example, calibration of speed of life history strategy to ecological cues encountered during development contributes to behavior that is conditionally adaptive to the organism’s environment. These theories emphasize the role of environmental influences and typically do not use designs that control potential genetic confounds. To address this methodological problem, the current study used a genetically informative design to test whether the phenotypic associations of parental instability and abuse with a slow life history factor were confounded by common genetic factors. We analyzed twin and singleton data from the Midlife in the United States (MIDUS) Survey using two convergent structural equation modeling approaches. Both approaches suggest that, when accounting for shared genetic variance across instability, abuse, and slow life history, some hypothesized environmental pathways between the early environmental measures and slow life history were not required. Once genetic factors were controlled, only parental instability was directly related to slow life history, while other hypothesized environmental pathways were non-significant. This suggests that developmental models that emphasize environmental and contextual pathways should control for possible genetic confounds.


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

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