Methamphetamine Dependence, Psychological Well-being, Criminality and High Risk Sexual Behaviors in Female-Only Methadone Services in Tehran and Karaj, Iran

Many studies have shown that organizational justice (OJ) is related to psychological determinants of employees’ physical and mental health in the workplace, and these health outcomes also lead to the psychological well-being (PW) of employees. Additionally, physical activity is one of the most important issues related to health in the workplace. This study compared the level of perceived OJ according to sociodemographic and lifestyle factors and examined the association between OJ and PW by regular exercise (hours per week) in Korean employees. This study used cross-sectional data obtained from 494 subjects in South Korea. Self-administered questionnaires comprising OJ, PW, and lifestyle factors (e.g., smoking, drinking, sleeping, and exercise) were completed by employees in April 2017. Multiple logistic regression analyses were conducted to estimate the association of procedural justice (PJ) and interactional justice (IJ) with the prevalence odds ratios and 95% confidence intervals of the high risk to PW. After the adjustment of sociodemographic characteristics and lifestyle factors, the main effects of PJ and IJ on the high risk to PW were significantly observed, and when these values were stratified by a regular exercise category, the lowest odds ratio was observed in a group that exercised for 1–2 h (hours per week). Organizations must encourage trust and consideration between employees and supervisors and carry out efforts to improve their environment, such as making the decision-making process fairer and encouraging employees to exercise regularly. This intervention may help prevent a high risk to PW.

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The role of partner support, ego-resiliency, prenatal attitudes towards maternity and pregnancy in psychological well-being of women in high-risk and low-risk pregnancy

Psychology Health & Medicine ◽

10.1080/13548506.2020.1737718 ◽

2020 ◽

Vol 25 (5) ◽

pp. 630-638 ◽

Cited By ~ 2

Author(s):

Michalina Ilska ◽

Hanna Przybyła-Basista

Keyword(s):

High Risk ◽

Well Being ◽

Low Risk ◽

Partner Support ◽

Psychological Well Being ◽

Risk Pregnancy ◽

Low Risk Pregnancy ◽

Ego Resiliency

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Patterns of risky driving behaviors among Tuscan adolescent drivers: a cluster analysis

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.1111 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

V Lastrucci ◽

F Innocenti ◽

C Lorini ◽

A Berti ◽

C Silvestri ◽

...

Keyword(s):

Cluster Analysis ◽

High Risk ◽

Sexual Behaviors ◽

Road Traffic ◽

Well Being ◽

Risky Driving ◽

Cluster Membership ◽

Driving Behaviors ◽

Adolescent Drivers ◽

Risky Driving Behaviors

Abstract Background Adolescents have a high risk of road traffic accident (RTA) because of their high engagement in risky driving behaviors (RDBs); to date, very few studies have investigated the patterns of RDBs. The aim of the study is to identify distinctive RDBs patterns and to examine their associations with RTAs in a sample of adolescent drivers Methods The EDIT project is a cross-sectional survey carried out in a representative sample (6.824) of Tuscany Region students aged 14-19 years. The study analyses a subsample of students who reported to drive/ride at least once a week (2764). Self-reported frequency in the last year of the following RDBs was determined: talking on phone; texting; using GPS; talking to passengers; smoking; eating; listening to loud music; fatigued driving; speeding; and driving under the influence (DUI) of alcohol or drugs. A cluster analysis was conducted to identify RDBs patterns. A multivariate model was used to evaluate the difference in the risk of RTA across clusters; ANOVA and post-hoc pairwise comparisons were used to further characterize cluster membership Results Four distinct RDBs clusters were identified: “safe”(45.6%), “average”(21.8%), “careless but not DUI”(21.5%) and “reckless and DUI”(11.2%) drivers. When compared with “safe” drivers, “careless but not DUI” and “reckless and DUI” drivers showed a significantly higher risk of RTA (respectively, OR 1.68, 95%CI 1.29-2.18, p < 0.001; OR 2.88; 95%CI 2.10-3.95, p < 0.001). Clusters were characterized by several significant differences in sociodemographic variables, cell-phone use, quality of the relationships with parents, school performances, mental health and well-being, health behaviors, gaming, bullying and risky sexual behaviors Conclusions RDBs evidently occur in typical patterns that are linked with different RTA risks. Several domains of adolescent life seem to be involved in cluster membership. An awareness of this clustering enables to better targeting adolescents at higher risk of RTA Key messages RDBs occur in patterns in adolescents, and indicators of risky behaviors and of mental and social well-being may help to identify RDBs clusters at high risk of road traffic accidents. Multimodal prevention approaches in risky driving behaviors are likely to be more successful than targeting a single behavior in adolescents.

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