Factors associated with risk behaviors in adolescence: a systematic review

Bozzini, Ana Beatriz; Bauer, Andreas; Maruyama, Jéssica Mayumi; Simões, Ricardo; Matijasevich, Alícia

doi:10.1590/1516-4446-2019-0835

Cited by 59 publications

(31 citation statements)

References 113 publications

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“…In order to reduce the risk levels among ethnic minority students, schools are advised to devote their attention to discouraging Form 1 students from consuming illicit drugs and reducing alcohol drinking among Form 5 students. This study's finding related to locality stands in contrast to Bozzini et al 16 It concludes that while cigarettes and illicit drugs are more available in urban areas than in rural areas, urban dwellers are less likely to indulge in smoking and illicit drugs use compared with rural ones. A plausible explanation is that urban dwellers have better health awareness than rural ones.…”

Section: Discussioncontrasting

confidence: 94%

Mental health and risk behaviors among secondary school students: A study on ethnic minorities

Cheah

Kee

Lim

et al. 2021

Pediatrics & Neonatology

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Background: Mental health disorders are highly correlated with risk behaviors. The objective of the present study is to examine the relationship between risk behaviors and mental health among school-going students with a focus on ethnic minorities. Methods: The National Health and Morbidity Survey (NHMS) 2017 (n Z 8230) was used for analyses. It was a nationwide survey conducted in Malaysia. The dependent variables were measured by three risk behaviors (cigarette smoking, alcohol drinking and use of illicit drugs). Probit regressions were utilized to examine the effect of mental health on the probability of smoking, drinking and using illicit drugs. Demographic and lifestyle factors were used as the control variables. Truancy was identified as a mediating variable. Results: Anxiety, depression and suicidal ideation affected cigarette smoking, alcohol drinking and use of illicit drugs through mediation of truancy. After controlling for demographic and lifestyle factors, students with anxiety, depression and suicidal ideation were more likely to smoke, drink and use illicit drugs compared with their peers without any mental health disorders. Furthermore, the likelihood of consuming cigarettes, alcohol and illicit drugs was found to be higher among students who played truant than those who did not. Conclusion: Mental health plays an important role in determining participation in risk behaviors among ethnic minority students in Malaysia. Public health administrators and schools have

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Section: Discussioncontrasting

confidence: 94%

Mental health and risk behaviors among secondary school students: A study on ethnic minorities

Cheah

Kee

Lim

et al. 2021

Pediatrics & Neonatology

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“…14.3% of the participants used cigarettes, 26.5% used hookah, 0.7% consumed substances and 31.6% drank alcohol. The results of a systematic review performed in 2020 showed that the most risky behavior was substance use, including alcohol and tobacco (45%), followed by depressive/suicidal/self-harm behavior (21.6%), violent or aggressive behavior (14%), high-risk sexual risk behavior (11%), and two or more risk behaviors (8.4%) [ 24 ]. The minimum age for sexual intercourse was 15 years old and 41% of participants had their first sexual intercourse at the age of 20.…”

Section: Discussionmentioning

confidence: 99%

The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model

Toozandehjani

Mahmoodi

Rahimzadeh

et al. 2021

Heliyon

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Background Internet addiction has become more prevalent in Adolescents. Some adolescents who tend to use Internet excessively have a poorer health status, and engage in more risky behaviors than others. Therefore, the aim of this study was to investigate the predictor role of Internet addiction in high- risk behaviors and the general health status among adolescences. Methods This was a descriptive-analytical study of structural equation modeling, conducted on 300 students of Alborz University of Medical Sciences. The multi-stage sampling method was used to identify the number of students aged 19–21 years studying in each faculty in the first stage and convenience sampling was used in the second stage. Data were collected using Iranian Adolescents Risk-taking Scale (IARS), the General Health Questionnaire (GHQ-28) and the Young's Internet Addiction Test (YIAT). The data were analyzed using LISREL version 8.8. Results The results of the measurement model using LISREL software showed a goodness of fit for the conceptual model. Internet addiction had a significant direct positive effect on the adolescents' high-risk behaviors (β = 0.17). Also, Internet addiction had a significant positive effect on the adolescents' general health status (β = 0.33) and general health problems increased by 0.33 per unit of Internet use. The result of structural model revealed no significant effects of general health on high-risk behaviors. Based on the value of the variance determined, Internet addiction could predict 11% of general health. Also, general health and Internet addiction together could predict 2.7% of high- risk behaviors. Conclusion Given the effect of Internet addiction on the general health and high-risk behavior, it is recommended that adolescents will be screened about internet addiction and the necessary training is given to the adolescents on the appropriate use of Internet. All necessary information should be given to the parents regarding Internet risks and dangers.

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“…Research on risk perception using psychological and sociological approaches has attempted to fill this gap (Renn and Swaton 1984). For example, in studies addressing adolescent risk behaviours (Bozzini et al 2020), through an exclusive selection of longitudinal studies, the authors were able to examine factors that predict adolescent risk behaviours and thus justify the creation of public policies to prevent risk behaviours in a way that can support the health sector. Another study by Reniers et al (2016) examined influences on adolescent risk behaviours and provided insights for targeted prevention and intervention efforts as research noted the increase during adolescence to the association of increased reactivity to emotions and immature capacity for self-regulation.…”

Section: Risk-addressing Behaviour Rbmentioning

confidence: 99%

The Relationship between Risk Perception and Risk Definition and Risk-Addressing Behaviour during the Early COVID-19 Stages

Grima

Hamarat

Özen

et al. 2021

JRFM

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The purpose of this article is to show the effect of Risk Perception RP and Risk Definition RD on the Risk-Addressing Behaviour RB. To carry out this study secondary data was used from a semi-structured survey administered between February and June 2020, a period during the early stages of the COVID-19 pandemic. The study identified six dimensions of risk perception and thus tested six structural models. Risk perception (ξ RP) is defined as an external latent variable in the study. It is also assumed that the risk perception variable may affect the risk definition variable (η RD). The application software SmartPLS was used to analyse data through exploratory factor analysis and partial least squares structural equation modelling on our research model. To achieve Convergent validity of the structural equation model of partial least squares, three criteria were met. In the study, Discriminant Validity was examined using the Fornell-Larcker criterion and Heterotrain-Monotrait Ratio (HTMT) coefficients. Results reveal that there is no direct relationship between the RB and “religion and beliefs”, the “fear level, the experience”, the “peer influences level” and the “openness”. However, we found a positive relationship between the agreement on “knowledge” and on RB and statistically significant relationships between the agreement on the RD and the agreement on the “religion and beliefs”, the “fear level”, the “experience”, the “knowledge”, the “peer influences level” and the RB. Moreover, there is an indirect relationship when controlling for the agreement on the RD between the agreement on the RB and the agreement on the “fear level”, the “experience”, the “knowledge” and the “peer influences level”. However, there is no relationship between the agreement on the “openness” and the agreement on the RB and a statistically significant but moderate relationship between the agreement on the RD and the agreement on the RB. Although, there seems to be abundant research on RP, so far we have found only a few studies on the influencing factors of RP, as effected by RB and RD, especially in distressed times such as during this current pandemic period of COVID-19. This study adds to body of literature and sheds new light on the interaction between RP, RB and RD in a time of distress. It provides important and original information that may be useful for government agencies, businesses, individuals, and the media when setting policies, governance structures, regulations, procedures and determining how to communicate.

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Factors associated with risk behaviors in adolescence: a systematic review

Cited by 59 publications

References 113 publications

Mental health and risk behaviors among secondary school students: A study on ethnic minorities

Mental health and risk behaviors among secondary school students: A study on ethnic minorities

The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model

The Relationship between Risk Perception and Risk Definition and Risk-Addressing Behaviour during the Early COVID-19 Stages

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