Browsing by Author "Muller D"

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    A 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 M
    Good 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.
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    Are 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
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    Inequities in adolescent sleep health in Aotearoa New Zealand: Cross-sectional survey findings.
    (Published by Elsevier Inc. on behalf of National Sleep Foundation, 2024-06-22) Muller D; Signal TL; Shanthakumar M; Fleming T; Clark TC; Crengle S; Donkin L; Paine S-J
    OBJECTIVES: To investigate ethnic inequities in, and social determinants of, adolescent sleep health in Aotearoa New Zealand. METHODS: Analysis of self-report data from a cross-sectional survey of secondary school students (12- to 18-year-olds). Analyses included weighted prevalence estimates of good and poor sleep health stratified by ethnicity, and multivariable logistic regression models concurrently adjusted for ethnicity, school year, gender, rurality, neighborhood deprivation, school decile, housing deprivation, sleeping elsewhere due to lack of adequate housing, unsafe environment, and racism. RESULTS: Inequities in social determinants of health were evident for Māori (Indigenous peoples of Aotearoa New Zealand; n = 1528) and minoritized (Pacific n = 1204; Asian n = 1927; Middle Eastern, Latin American, and African [MELAA] n = 210; and 'Other' ethnicity n = 225) adolescents. A greater proportion of Māori, Pacific, Asian, MELAA, and 'Other' adolescents had short sleep, compared to European (n = 3070). Māori, Pacific, Asian, and MELAA adolescents were more likely to report late bedtimes (after midnight), and Māori, Pacific, and 'Other' adolescents were more likely to report early waketimes (5 AM-6 AM or earlier), on school days. Rurality, neighborhood deprivation, school-level deprivation, housing deprivation, sleeping elsewhere due to inadequate housing, unsafe environments, and racism partially, but not fully, explained associations between ethnicity and short sleep, late bedtimes, and early waketimes. CONCLUSIONS: Ethnic inequities exist in adolescent sleep health in Aotearoa New Zealand. Socio-political actions are needed to address racism and colonialism as root causes of ethnic inequities in adolescent sleep, to ensure all young people are afforded the basic human right of good sleep health and associated mental and physical well-being.
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    Sleep inequities and associations between poor sleep and mental health for school-aged children: findings from the New Zealand Health Survey
    (Oxford University Press on behalf of Sleep Research Society, 2023-11-18) Muller D; Signal TL; Shanthakumar M; Paine S-J
    In Aotearoa/New Zealand, ethnic inequities in sleep health exist for young children and adults and are largely explained by inequities in socioeconomic deprivation. Poor sleep is related to poor mental health for these age groups but whether sleep inequities and associations with mental health exist for school-aged children is unclear. We aimed to (1) determine the prevalence of poor sleep health including sleep problems by ethnicity, (2) examine social determinants of health associated with poor sleep, and (3) investigate relationships between poor sleep and mental health for 5-14-year-olds using cross-sectional New Zealand Health Survey data (n = 8895). Analyses included weighted prevalence estimates and multivariable logistic regression. Short sleep was more prevalent for Indigenous Māori (17.6%), Pacific (24.5%), and Asian (18.4%) children, and snoring/noisy breathing during sleep was more prevalent for Māori (29.4%) and Pacific (28.0%) children, compared to European/Other (short sleep 10.2%, snoring/noisy breathing 17.6%). Ethnicity and neighborhood socioeconomic deprivation were independently associated with short sleep and snoring/noisy breathing during sleep. Short sleep was associated with increased odds of anxiety, attention deficit hyperactivity disorder, and activity-limiting emotional and psychological conditions after adjusting for ethnicity, deprivation, age, and gender. In addition, long sleep was independently associated with increased odds of depression. These findings demonstrate that for school-aged children ethnic inequities in sleep exist, socioeconomic deprivation is associated with poor sleep, and poor sleep is associated with poor mental health. Sociopolitical action is imperative to tackle social inequities to support sleep equity and mental health across the lifecourse.
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    Who 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), 16/01/2022) Muller D; Santos-Fernández E; McCarthy J; Carr H; Signal TL
    Study 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.