Multiple health risk behaviour in Czech adolescents: Family, school and geographic factors

Kážmér, Ladislav; Dzúrová, Dagmar; Csémy, Ladislav; Spilková, Jana

doi:10.1016/j.healthplace.2014.05.009

Cited by 12 publications

(11 citation statements)

References 30 publications

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“…They also had a smaller percentage of friends who had consumed alcohol, tobacco and other illicit drugs, compared to the other classes. Consistent with research in other countries, this study suggests that most adolescents could go through this transitional period successfully as the highest proportion of adolescents were in this low-risk group [ 3 , 13 , 34 ]. For example, Noel and colleagues found that the majority (80% of a four-class LCA model) of students in secondary schools in New Zealand were ‘healthy’ and did not engage in health-risk behaviors or suffer from emotional health concerns [ 13 ] and Ji and colleagues found the highest proportion (52% of a four-class LCA model) of middle school students in rural western China was in the low-risk class with lowest probabilities for all risk behaviors such as binge drinking, self-injurious behaviors, suicide and accidental injury [ 34 ].…”

Section: Discussionsupporting

confidence: 89%

“…Generally, alcohol and drug use and other health-risk behaviors tend to be clustered together [ 5 ], especially during adolescence when significant physical, sexual and psychological development occurs [ 3 , 6 – 8 ]. Examples include the co-occurrence of alcohol and tobacco use, early sexual debut, and bullying [ 2 ], a clustering of high-fat diet, irregular physical activity and sedentary behaviors [ 9 ] and an inter-relationship between alcohol use, marihuana use, sexual risk behaviors and delinquency [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Risk behaviors in adolescents are multi-factorial and are associated with individual factors, family characteristics, and social and environmental conditions [ 15 , 16 ]. Studies have found that alcohol, tobacco and drug use are influenced by factors such as family relationships, peer groups, and school environment [ 3 , 16 – 18 ]. Based on Family Interaction theory, parenting styles, familial dysfunction, parent-child relations, and parental substance use could contribute to the intergenerational transmission of substance use disorders on children [ 19 – 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: a latent class analysis

Assanangkornchai

McNeil

et al. 2018

BMC Public Health

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BackgroundAlcohol and drug use and other health-risk behaviors tend to cluster together among adolescents and contribute a large amount of harm to both themselves and to others. This paper aims to characterize secondary school students based on their clusters of health-risk behaviors and identify factors determining class membership to these behavior-clusters.MethodsData from a national school survey was used to identify clusters of alcohol and drug use and other health-risk behaviors among secondary school students aged 12–15 years using a latent class regression model. A multinomial logistic regression model was used to identify predictors of the cluster membership.ResultsA total of 25,566 students were included in the analysis, of which 88% were classified as having low-risk behaviors reporting only moderate alcohol use; 11% as having moderate-risk behaviors, such as driving under the influence of alcohol, fighting, carrying a weapon, and alcohol and tobacco use; and 0.6% as having high-risk behaviors, such as use of illicit drugs, particularly kratom and cannabis. Males, older students, those with a poor school performance, not living with parents, drug use by family members and peers, and having a low level of perceived disdain from their friends if they used drugs were significant risk factors for being in the moderate- and high-risk behavior classes.ConclusionsAlcohol, tobacco and drug use, as well as other health-risk behaviors such as fighting, are clustered in Thai secondary school students. This result highlights the importance of comprehensive prevention and education strategies, particularly for moderate to high-risk groups.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: a latent class analysis

Assanangkornchai

McNeil

et al. 2018

BMC Public Health

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“…Those researchers interested in mental health outcomes among vulnerable populations have been particularly interested in adolescents, their stressors and negative health behaviours (e.g. Kážmér et al, 2014; Twigg and Moon, 2013).…”

Section: Quantitative and Gis Researchmentioning

confidence: 99%

Health geography II

Rosenberg

2015

Progress in Human Geography

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Over the years, various observers of health geography have sought to 'divide' the sub-discipline mainly along theoretical lines or to argue for a broadening of its theoretical base. Paralleling the growing theoretical pluralism within health geography has been a growing methodological pluralism. As in other parts of human geography, health geographers have embraced historical research, quantitative and qualitative methods, and computer mapping and geographic information science (GIS). Analysing recent contributions by health geographers, the question I seek to answer is whether the growing theoretical and methodological pluralism has paradoxically led to increasing divisions in the topics of study based mainly, but not solely, on what methods are employed in the research. While there are topical overlaps (e.g. quantitative and qualitative studies of particular vulnerable groups), it is less obvious as to how research using one methodology is informing research using the other methodology.

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“…18 Similarly, the prevalence of lifetime marijuana use among 15-yearold respondents, as reported by the HBSC, declined from 30.5% in 2010 to 23.1% in 2014, as reported by the ESPAD from 42.3% in 2011 to 36.8% in 2015 (in the ESPAD, the prevalence of marijuana use and/or hashish together). 18,26 Since the use of one type of a substance is usually correlated to the use of other substance(s), 27 these findings point to rather general decrease of adolescent substance use. At the same time, these findings are concordant to the above-mentioned hypothesis on ongoing changes in leisure time preferences among the contemporary Czech youth, resulting in an overall decrease of substance use in this specific population group.…”

Section: Discussionmentioning

confidence: 98%

Changing Trends in Adolescent Alcohol Use among Czech School-Aged Children from 1994 to 2014

Kážmér

Csémy

2019

Journal of Public Health Research

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Background: For an efficient planning of public health policy, the regular monitoring over health-related behaviors among vulnerable population groups is necessary. The aim of this study is to examine the temporal trends in alcohol use among the Czech adolescent population. Design and methods: Data from the Health Behaviour in Schoolaged Children (HBSC) project conducted in Czechia from 1994 to 2014 were used. Adolescent alcohol use was assessed via two indicators: i) weekly alcohol use (beer, wine, and/or spirit), ii) repeated lifetime drunkenness (having been drunk on two or more occasions in life). Trends in alcohol use were modelled separately for boys and girls. Binary logistic regression was conducted with survey period as an independent predictor of the alcohol indicator. Results: There were significant changes in adolescent alcohol use since 1994. Between 1994 and 2010, there was a gradual upward in the prevalence. However, in the recent period of 2014, an unprecedented drop in alcohol use was recorded. Conclusions: Despite the significant drop in the prevalence of alcohol use among the Czech youth in recent years, alcohol drinking in adolescence remains an important challenge for the national health policy. Further research will show whether these changes in adolescent health-related behavior are of a temporary or a permanent nature.

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Multiple health risk behaviour in Czech adolescents: Family, school and geographic factors

Cited by 12 publications

References 30 publications

Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: a latent class analysis

Clusters of alcohol and drug use and other health-risk behaviors among Thai secondary school students: a latent class analysis

Health geography II

Changing Trends in Adolescent Alcohol Use among Czech School-Aged Children from 1994 to 2014

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