Browsing by Author "Muller D"
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- ItemA multilab preregistered replication of the ego-depletion effect(Sage, 2016) Hagger MS; Chatzisarantis NLD; Alberts H; Anggono CO; Batailler C; Birt AR; Brand R; Brandt MJ; Brewer G; Bruyneel S; Calvillo DP; Campbell WK; Cannon PR; Carlucci M; Carruth NP; Cheung T; Crowell A; De Ridder DTD; Dewitte S; Elson M; Evans JR; Fay BA; Fennis BM; Finley A; Francis Z; Hoemann H; Heise E; Inzlicht M; Koole SL; Koppel L; Kroese F; Lange F; Lau K; Lynch BP; Martijn C; Merckelbach H; Mills NV; Michirev A; Miyake A; Mosser AE; Muise M; Muller D; Muzi M; Nalis D; Nurwanti R; Otgaar H; Philipp MC; Primoceri P; Rentzsch K; Ringos L; Schlinkert C; Schmeichel BJ; Schoch SF; Schrama M; Schütz A; Stamos A; Tinghög G; Ullrich J; vanDellen M; Wimbarti S; Wolff W; Yusainy C; Zerhouni O; Zwienenberg MGood self-control has been linked to adaptive outcomes such as better health, cohesive personal relationships, success in the workplace and at school, and less susceptibility to crime and addictions. In contrast, self-control failure is linked to maladaptive outcomes. Understanding the mechanisms by which self-control predicts behavior may assist in promoting better regulation and outcomes. A popular approach to understanding self-control is the strength or resource depletion model. Self-control is conceptualized as a limited resource that becomes depleted after a period of exertion resulting in self-control failure. The model has typically been tested using a sequential-task experimental paradigm, in which people completing an initial self-control task have reduced self-control capacity and poorer performance on a subsequent task, a state known as ego depletion. Although a meta-analysis of ego-depletion experiments found a medium-sized effect, subsequent meta-analyses have questioned the size and existence of the effect and identified instances of possible bias. The analyses served as a catalyst for the current Registered Replication Report of the ego-depletion effect. Multiple laboratories (k = 23, total N = 2,141) conducted replications of a standardized ego-depletion protocol based on a sequential-task paradigm by Sripada et al. Meta-analysis of the studies revealed that the size of the ego-depletion effect was small with 95% confidence intervals (CIs) that encompassed zero (d = 0.04, 95% CI [−0.07, 0.15]. We discuss implications of the findings for the ego-depletion effect and the resource depletion model of self-control.
- ItemAre New Zealand children meeting the Ministry of Health guidelines for sleep?(2020-08-01) Muller D; Signal TL; Santos-Fernandez E; McCarthy J; Carr H
- ItemWho meets national early childhood sleep guidelines in Aotearoa New Zealand? A cross-sectional and longitudinal analysis(Oxford University Press on behalf of the Sleep Research Society (SRS), 2022-01-16) Muller D; Santos-Fernández E; McCarthy J; Carr H; Signal TLStudy Objectives: To investigate the proportion of children in Aotearoa New Zealand (NZ) who do or do not meet sleep duration and sleep quality guidelines at 24 and 45 months of age and associated sociodemographic factors. Methods: Participants were children (n = 6490) from the Growing Up in New Zealand longitudinal study of child development with sleep data available at 24 and/or 45 months of age (48.2% girls, 51.8% boys; 22.4% Māori [the Indigenous people of NZ], 12.9% Pacific, 13.4% Asian, 45.2% European/Other). Relationships between sociodemographic factors and maternally reported child sleep duration (across 24 hours) and night wakings were investigated cross-sectionally and longitudinally. Estimates of children in NZ meeting sleep guidelines were calculated using a range of analytical techniques including Bayesian linear regression, negative binomial multiple regression, and growth curve models. Results: In NZ, 29.8% and 19.5% of children were estimated to have a high probability of not meeting sleep duration guidelines and 15.4% and 8.3% were estimated to have a high probability of not meeting night waking guidelines at 24 and 45 months respectively, after controlling for multiple sociodemographic variables. Factors associated cross-sectionally with children’s sleep included ethnicity, socioeconomic deprivation, material standard of living, rurality, and heavy traffic, and longitudinal sleep trajectories differed by gender, ethnicity, and socioeconomic deprivation. Conclusions: A considerable proportion of young children in NZ have a high probability of not meeting sleep guidelines but this declines across the ages of 24 and 45 months. Sleep health inequities exist as early as 24 months of age in NZ.