Association between self-control and health risk behaviors: a cross-sectional study with 9th grade adolescents in São Paulo

Astolfi, Roberta; Leite, Maria Alvim; Papa, Cassio Henrique Gomide; Ryngelblum, Marcelo; Eisner, Manuel; Peres, Maria Fernanda Tourinho

doi:10.1186/s12889-021-11718-4

Cited by 9 publications

(7 citation statements)

References 51 publications

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“…This association between feeling in control of one's own life and several health outcomes has previously been demonstrated using logistic regression models [ 40 ]. Possible explanations for the relationship between SPGH status and a feeling of control are the known associations between a feeling of low control over one’s life and several health risk behaviors [ 41 , 42 ], which can contribute to poor SPGH status. Due to the cross-sectional nature of this study, feeling not in control could also be a direct consequence of a person’s health problems.…”

Section: Discussionmentioning

confidence: 99%

Predicting self-perceived general health status using machine learning: an external exposome study

et al. 2023

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Background Self-perceived general health (SPGH) is a general health indicator commonly used in epidemiological research and is associated with a wide range of exposures from different domains. However, most studies on SPGH only investigated a limited set of exposures and did not take the entire external exposome into account. We aimed to develop predictive models for SPGH based on exposome datasets using machine learning techniques and identify the most important predictors of poor SPGH status. Methods Random forest (RF) was used on two datasets based on personal characteristics from the 2012 and 2016 editions of the Dutch national health survey, enriched with environmental and neighborhood characteristics. Model performance was determined using the area under the curve (AUC) score. The most important predictors were identified using a variable importance procedure and individual effects of exposures using partial dependence and accumulated local effect plots. The final 2012 dataset contained information on 199,840 individuals and 81 variables, whereas the final 2016 dataset had 244,557 individuals with 91 variables. Results Our RF models had overall good predictive performance (2012: AUC = 0.864 (CI: 0.852–0.876); 2016: AUC = 0.890 (CI: 0.883–0.896)) and the most important predictors were “Control of own life”, “Physical activity”, “Loneliness” and “Making ends meet”. Subjects who felt insufficiently in control of their own life, scored high on the De Jong-Gierveld loneliness scale or had difficulty in making ends meet were more likely to have poor SPGH status, whereas increased physical activity per week reduced the probability of poor SPGH. We observed associations between some neighborhood and environmental characteristics, but these variables did not contribute to the overall predictive strength of the models. Conclusions This study identified that within an external exposome dataset, the most important predictors for SPGH status are related to mental wellbeing, physical exercise, loneliness, and financial status.

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Section: Discussionmentioning

confidence: 99%

Predicting self-perceived general health status using machine learning: an external exposome study

et al. 2023

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“…[31] Inhibitory control is associated with successful self-control in day-to-day life (Muraven,2010). [31] For example, it is a negatively related to unhealthy eating behaviors, problem drinking, and illicit drug use (Astol et al,2021). [2] One might argue that strengthening inhibitory control can help students achieve higher grades because it helps to focus and eliminate distractions.…”

Section: The Mediating Effect Of Self-control On Learning Motivation ...mentioning

confidence: 99%

The influence of learning motivation on college students' participation in professional courses:The mediating role of self-control and the moderating role of school atmosphere

Kang,

Cao

2024

Preprint

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Background Students who actively participate in school activities will perform better in school. In contrast, students who do not attend classes on time, refuse to participate in school activities, and are distracted during class may not perform as well as those who actively participate in school activities, and may also exhibit various problematic behaviors such as dropping out. However, it is worrisome that many educators consider skipping classes as one of the most significant and persistent issues affecting student development. Method This article uses the Learning Motivation Scale and a college student participation survey questionnaire to study the relationship between college student learning motivation and professional classroom participation. Use SPSS correlation analysis and M-plus to conduct multi-layer linear model analysis on the data and draw specific conclusions. Results (1) Students' learning motivation positively predicts students' participation in professional courses. (2) Students' self-control positively predicts students' participation in professional courses. (3) Students' perceived school atmosphere has an overall moderating effect. When students' perceived school atmosphere is positive, learning motivation can predict high level of self-control, while when students' perceived school atmosphere is negative, learning motivation has no predictive effect on self-control. Conclusions The data results indicate that the double-layer model is more effective in promoting research on participation mechanisms than the single-layer model, and has good practical and educational value.

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“…To answer this question, it is necessary to investigate whether this mediation effect only applies for the effect of general self-control on adolescent alcohol use, or also for the effect of general self-control on other behaviour that is considered a temptation for adolescents to engage in, and therefore requires self-control (to test domain-specificity), and on other substance use (to test substance-specificity). Therefore, we included adolescent digital media use (Schulz van Endert, 2021; Twenge and Campbell, 2018 ) and smoking (Astolfi et al, 2021 ) as control outcome measures. Based on the self-control theory and previous empirical research, we hypothesized that (1) the effect of a higher level of general self-control on less adolescent alcohol use is mediated by a higher level of alcohol-specific self-control, and that (2) the mediating role of alcohol-specific self-control in the effect of general self-control on adolescent alcohol use is only related to adolescent alcohol use and not to adolescent digital media use and smoking.…”

Section: Introductionmentioning

confidence: 99%

How Specific is Alcohol-Specific Self-Control? A Longitudinal Study of the Mediating Role of Alcohol-Specific Self-Control in the Relation Between General Self-Control and Adolescent Alcohol Use

2023

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Although accumulating studies indicate that alcohol-specific self-control can be useful in predicting adolescent alcohol use, little is known about its specificity. This longitudinal study aimed to advance our understanding of domain-specific self-control by examining whether alcohol-specific self-control mediates the effect of general self-control on adolescent alcohol use or has generalizing effects by also mediating the effect of general self-control on other behavior requiring self-control (adolescent digital media use and smoking). Data from 906 adolescents aged 11–14 years who were enrolled in the Dutch study Prevention of Alcohol Use in Students were used. Data were collected using online questionnaires at four annual measurements. Structural equation modelling revealed that higher alcohol-specific self-control fully mediated the effect of higher general self-control on alcohol use. Alcohol-specific self-control did not mediate the effect of higher general self-control on digital media use, but did partially mediate the effect of higher general self-control on smoking. These results suggest that alcohol-specific self-control is domain-specific, but not necessarily substance-specific. The domain-specificity of alcohol-specific self-control provides evidence for its theoretical relevance for the explanation of adolescent alcohol use. It also suggests leverage points for intervention programs focusing on improving alcohol-specific self-control to reduce adolescent alcohol use.

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Association between self-control and health risk behaviors: a cross-sectional study with 9th grade adolescents in São Paulo

Cited by 9 publications

References 51 publications

Predicting self-perceived general health status using machine learning: an external exposome study

Predicting self-perceived general health status using machine learning: an external exposome study

The influence of learning motivation on college students' participation in professional courses:The mediating role of self-control and the moderating role of school atmosphere

How Specific is Alcohol-Specific Self-Control? A Longitudinal Study of the Mediating Role of Alcohol-Specific Self-Control in the Relation Between General Self-Control and Adolescent Alcohol Use

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