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Does Self-Control Training Improve Self-Control? A Meta-Analysis
Self-control is positively associated with a host of beneficial outcomes. Therefore, psychological interventions that reliably improve self-control are of great societal value. A prominent idea suggests that training self-control by repeatedly overriding dominant responses should lead to broad improvements in self-control over time. Here, we conducted a random-effects meta-analysis based on robust variance estimation of the published and unpublished literature on self-control training effects. Results based on 33 studies and 158 effect sizes revealed a small-to-medium effect of g = 0.30, confidence interval (CI 95) [0.17, 0.42]. Moderator analyses found that training effects tended to be larger for (a) self-control stamina rather than strength, (b) studies with inactive compared to active control groups, (c) males than females, and (d) when proponents of the strength model of self-control were (co) authors of a study. Bias-correction techniques suggested the presence of small-study effects and/or publication bias and arrived at smaller effect size estimates (range: gcorrected =. 13 to. 24). The mechanisms underlying the effect are poorly understood. There is not enough evidence to conclude that the repeated control of dominant responses is the critical element driving training effects.
Journal Article
Self-Control as Value-Based Choice
Self-control is often conceived as a battle between “hot” impulsive processes and “cold” deliberative ones. Heeding the angel on one shoulder leads to success; following the demon on the other leads to failure. Self-control feels like a duality. What if that sensation is misleading, and despite how they feel, self-control decisions are just like any other choice? We argue that self-control is a form of value-based choice wherein options are assigned a subjective value and a decision is made through a dynamic integration process. We articulate how a value-based choice model of self-control can capture its phenomenology and account for relevant behavioral and neuroscientific data. This conceptualization of self-control links divergent scientific approaches, allows for more robust and precise hypothesis testing, and suggests novel pathways to improve self-control.
Journal Article
Handbook of self-regulation : research, theory, and applications
From leading authorities, this significantly revised and expanded handbook is a highly regarded reference in a rapidly growing field. It thoroughly examines the conscious and unconscious processes by which people manage their behavior and emotions, control impulses, and strive toward desired goals. Chapters explore such vital issues as why certain individuals have better self-control than others; how self-regulation shapes, and is shaped by, social relationships; underlying brain mechanisms and developmental pathways; and which interventions can improve people's self-control. The volume also addresses self-regulatory failures and their consequences, with chapters on attention-deficit/hyperactivity disorder, criminality, addictions, and money management challenges. As a special bonus, purchasers of the third edition can download a supplemental e-book featuring two notable, highly cited chapters from the second edition.
Book
Efficacy of a Self-Regulation–Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials
Adopting an active lifestyle plays a key role in the prevention and management of chronic diseases such as type 2 diabetes mellitus (T2DM). Web-based interventions are able to alter health behaviors and show stronger effects when they are informed by a behavior change theory. MyPlan 2.0 is a fully automated electronic health (eHealth) and mobile health (mHealth) intervention targeting physical activity (PA) and sedentary behavior (SB) based on the Health Action Process Approach (HAPA).
This study aimed to test the short-term effect of MyPlan 2.0 in altering levels of PA and SB and in changing personal determinants of behavior in adults with T2DM and in adults aged ≥50 years.
The study comprised two randomized controlled trials (RCTs) with an identical design. RCT 1 was conducted with adults with T2DM. RCT 2 was performed in adults aged ≥50 years. Data were collected via face-to-face assessments. The participants decided either to increase their level of PA or to decrease their level of SB. The participants were randomly allocated with a 2:1 ratio to the intervention group or the waiting-list control group. They were not blinded for their group allocation. The participants in the intervention group were instructed to go through MyPlan 2.0, comprising 5 sessions with an interval of 1 week between each session. The primary outcomes were objectively measured and self-reported PA (ie, light PA, moderate-to-vigorous PA, total PA, number of steps, and domain-specific [eg, transport-related] PA) and SB (ie, sitting time, number of breaks from sitting time, and length of sitting bouts). Secondary outcomes were self-reported behavioral determinants for PA and SB (eg, self-efficacy). Separate linear mixed models were performed to analyze the effects of MyPlan 2.0 in the two samples.
In RCT 1 (n=54), the PA intervention group showed, in contrast to the control group, a decrease in self-reported time spent sitting (P=.09) and an increase in accelerometer-measured moderate (P=.05) and moderate-to-vigorous PA (P=.049). The SB intervention group displayed an increase in accelerometer-assessed breaks from sedentary time in comparison with the control group (P=.005). A total of 14 participants of RCT 1 dropped out. In RCT 2 (n=63), the PA intervention group showed an increase for self-reported total PA in comparison with the control group (P=.003). Furthermore, in contrast to the control group, the SB intervention group decreased their self-reported time spent sitting (P=.08) and increased their accelerometer-assessed moderate (P=.06) and moderate-to-vigorous PA (P=.07). A total of 8 participants of RCT 2 dropped out.
For both the samples, the HAPA-based eHealth and mHealth intervention, MyPlan 2.0, was able to improve only some of the primary outcomes.
ClinicalTrials.gov NCT03291171; http://clinicaltrials.gov/ct2/show/NCT03291171. ClinicalTrials.gov NCT03799146; http://clinicaltrials.gov/ct2/show/NCT03799146.
RR2-10.2196/12413.
Journal Article
Physical activity moderated the mediating effect of self-control between bullying victimization and mobile phone addiction among college students
This study aims to investigate the relationship between bullying victimization and mobile phone addiction (MPA) among college students, taking into consideration the mediating role of self-control and the moderating role of physical activity. A self-report survey was administered to college students from 4 universities in Guangxi, Liaoning, and Hunan provinces in China. Participants were asked to report their experiences of bullying victimization, level of MPA, self-control, and physical activity. Descriptive statistics, correlation analysis, and regression analysis were conducted to analyze the data. Mediation and moderation models were subsequently established to examine the relationships between variables. The results indicated a positive correlation between bullying victimization and MPA among college students. Additionally, bullying victimization was negatively correlated with self-control. Bullying victimization significantly predicted MPA, and self-control partially mediated this relationship. Furthermore, physical activity moderated the association between bullying victimization and self-control among college students. The findings suggest that self-control plays a partial mediating role in the relationship between bullying victimization and MPA among college students. Moreover, physical activity weakens the association between bullying victimization and self-control. Therefore, promoting physical activity to reduce MPA among college students who have experienced bullying victimization is highly recommended.
Journal Article
Self-regulation : brain, cognition, and development
As humans, we self-regulate whenever we adapt our emotions and actions to situational requirements and to internalized social standards and norms. Self-regulation encompasses skills such as paying attention, inhibiting reflexive actions, and delaying gratification. We need self-regulation for navigating every aspect of life. This book presents self-regulation as a crucial link between genetic predisposition, early experience, and later adult functioning in society. Individual chapters examine what self-regulation is, how it functions, how genetic and environmental factors influence its development, how it affects social and academic competence in childhood and adulthood, what pathologies can emerge if it is underdeveloped, and how it might be fostered in children. Part of the Human Brain Development Series edited by Michel I. Posner, this book will appeal to developmental psychologists, developmental neuroscientists, educational psychologists, and educational practitioners interested in the link between brain sciences and education.
Book
Childhood self-control forecasts the pace of midlife aging and preparedness for old age
The ability to control one’s own emotions, thoughts, and behaviors in early life predicts a range of positive outcomes in later life, including longevity. Does it also predict how well people age? We studied the association between self-control and midlife aging in a population-representative cohort of children followed from birth to age 45 y, the Dunedin Study. We measured children’s self-control across their first decade of life using a multi-occasion/multiinformant strategy. We measured their pace of aging and aging preparedness in midlife using measures derived from biological and physiological assessments, structural brain-imaging scans, observer ratings, self-reports, informant reports, and administrative records. As adults, children with better self-control aged more slowly in their bodies and showed fewer signs of aging in their brains. By midlife, these children were also better equipped to manage a range of later-life health, financial, and social demands. Associations with children’s self-control could be separated from their social class origins and intelligence, indicating that self-control might be an active ingredient in healthy aging. Children also shifted naturally in their level of self-control across adult life, suggesting the possibility that self-control may be a malleable target for intervention. Furthermore, individuals’ self-control in adulthood was associated with their aging outcomes after accounting for their self-control in childhood, indicating that midlife might offer another window of opportunity to promote healthy aging.
Journal Article