Risk behaviour,parental background,and wealth: A cluster analysis among Swedish boys and girls in the HBSC study

Abstract

Aim:

To analyse how health risk behaviours (HRB) are clustered and associated with parental background and family wealth among Swedish boys and girls.

Methods:

Data were collected from Health Behaviour in School-aged Children (HBSC), a global cross-sectional survey for 1997/98, 2001/02, and 2005/06. A total of 11,972 boys and girls in grades 5, 7, and 9 participated in the study. The pupils were categorised in subgroups according to parental background: Swedish (80.0%), mixed (10.6%), and foreign (9.4%). Cluster analyses were used to identify HRB profiles. Multinomial logistic regression analysis was used to estimate associations between cluster allocation, parental background, and family affluence.

Results:

In total 11,232 pupils were identified and allocated to five cluster profiles, half of them in the cluster profile of low-risk behaviour. The most disadvantaged cluster was multiple HRB, which was characterised by high prevalence of smoking, drunkenness, low physical activity, and high soft-drink consumption. The cluster profile of multiple HRB was associated with both mixed background and foreign background in girls and with mixed background in boys. The cluster profile of inadequate tooth brushing was associated with foreign background in both boys and girls. The cluster profiles of multiple HRB and inadequate tooth brushing were associated with low family affluence in girls.

Conclusions:

The cluster profiles of multiple HRB and inadequate tooth brushing were associated with parental foreign extraction in boys and girls and with low family affluence in girls. Prevention programmes based on identified clusters of HRB, including consideration of impact of socio-demographic indicators, are needed.

Keywords

Cluster analysis FAS intersectional multiple risk behaviour socio-demography

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References

Jessor

. Risk behavior in adolescence: a psychosocial framework for understanding and action. Dev Rev 1992;12(4):374–90.

Currie

Gabhainn

Godeau

Roberts

Smith

Currie

. Inequalities in young people’s health: health behaviour in school-aged children (HBSC): international report from the 2005/2006 survey. Copenhagen: WHO Regional Office for Europe, 2008.

Levin

KKJ

Currie

. Adolescent risk behaviours and mealtime routines: does family meal frequency alter the associations between family structure and risk behaviour? Health Ind Res 2012;27(1):24–35.

Nygren

Janlert

Nygren

. Norm compliance and self-reported health among Swedish adolescents. Scand J Public Health 2011;39(1):44–50.

Bonino

Cattelino

Cairano

. Adolescents and risk – behaviors, functions and protective factors. Milano: Springer, 2005.

Fryer

Kahn

Spenkuch

. The plight of mixed race adolescents. Nat B Econ Res 2008;(14192).

Richter

Vereecken

Boyce

Maes

Gabhainn

Currie

. Parental occupation, family affluence and adolescent health behaviour in 28 countries. Int J Public Health 2009;54(4):203–12.

Sen

Östlin

. Gender equity in health: the shifting of evidence and action. New York: Taylor & Francis, 2010.

Holmberg

Hellberg

. Characteristics of relevance for health in Turkish and Middle Eastern adolescent immigrants compared to Finnish immigrants and ethnic Swedish teenagers. Turk J Paediatr 2008;50(5):418–25.

10.

Romero

Martinez

Carvajal

. Bicultural stress and adolescent risk behaviors in a community sample of Latinos and non-Latino European Americans. Ethn Health 2007;12(5):443–63.

11.

Weden

Zabin

. Gender and ethnic differences in the co-occurrence of adolescent risk behaviors. Ethn Health 2005;10(3):213–33.

12.

van Tubergen

Poortman

. Adolescent alcohol use in the Netherlands: the role of ethnicity, ethnic intermarriage, and ethnic school composition. Ethn Health 2010;15(1):1–13.

13.

Simons-Morton

Farhat

ter Bogt

Hublet

Kuntsche

Gabhainn

. Gender specific trends in alcohol use: cross-cultural comparisons from 1998 to 2006 in 24 countries and regions. Int J Public Health 2009;54 (Suppl 2):199–208.

14.

Haug

Rasmussen

Samdal

Iannotti

Kelly

Borraccino

. Overweight in school-aged children and its relationship with demographic and lifestyle factors: results from the WHO-Collaborative Health Behaviour in School-aged Children (HBSC) Study. Int J Public Health 2009; 54 (Suppl 2):167–79.

15.

Vereecken

Inchley

Subramanian

Hublet

. Health inequalities. the relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. Eur J Public Health 2005;15(3):224–32.

16.

Verzeletti

Maes

Santinello

Vereecken

. Soft drink consumption in adolescence: associations with food-related lifestyles and family rules in Belgium Flanders and the Veneto Region of Italy. Eur J Public Health 2010;20(3):312–17.

17.

Haug

Torsheim

Samdal

. Physical environmental characteristics and individual interests as correlates of physical activity in Norwegian secondary schools: The health behaviour in school-aged children study. Int J Behav Nutr Phys Act 2008;4(47).

18.

Gillander Gådin

Hammarström

. Can school-related factors predict future health behaviour among young adolescents? Public Health 2002;116(1):22–9.

19.

Hjern

Grindefjord

. Dental health and access to dental care for ethnic minorities in Sweden. Ethn Health 2000;5(1):23–32.

20.

Honkala

Al-Sahli

. Do life- or school-satisfaction and self-esteem indicators explain the oral hygiene habits of schoolchildren? Community Dent Oral Epidemiol 2007;35(5):337–47.

21.

Richter

Leppin

Gabhainn

. The relationship between parental socio-economic status and episodes of drunkenness among adolescents: findings from a cross-national survey. BMC Public Health 2006;6:289–98.

22.

Ding

Young

. Using prototype theory to examine prototypical patterns of risk behaviors among U.S. adolescents. Am J Health Educ 2007;38(3):129–38.

23.

French

Rosenberg

Knuiman

. The clustering of health risk behaviours in a Western Australian adult population. Health Promot J Austr 2008;19(3):203–9.

24.

Carlerby

Viitasara

Knutsson

Gillander Gådin

. Subjective health complaints among boys and girls in the Swedish HBSC study: focussing on parental foreign background. Int J Public Health 2011;56(5):457–64.

25.

Danielsson

. Svenska skolbarns hälsovanor 2005/2006 [Health Behaviour in Swedish School-Aged Children 2005/2006]. Stockholm: Swedish National Institute of Public Health, 2006.

26.

Vinnerljung

Hjern

Ringbäck Weitoft

Franzén

Estrada

. Children and young people at risk. Int J Soc Welf 2007;16 (Suppl 1):163–202.

27.

Currie

Roberts

Morgan

Smith

Settertobulte

Samdal

. Young people’s health in context: health behaviour in school-aged children (HBSC): international report from the 2001/2002 survey. Copenhagen: WHO Regional Office for Europe, 2004.

28.

Boyce

Torsheim

Currie

Zambon

. The Family Affluence Scale as a measure of national wealth: validation of an Adolescent self-report measure. Soc Ind Res 2006;78(3):473–87.

29.

Garson

. Cluster analysis. North Carolina State University. http://faculty.chass.ncsu.edu/garson/PA765/cluster.htm (2010, consulted July 2010).

30.

Norušis MJ. PASW Statistics 18 statistical procedures companion. San Fransisco: Pearson, 2010.

31.

World Health Organization. Global oral health. http://www.mah.se/CAPP/Country-Oral-Health-Profiles/According-to-WHO-Regions (2012, consulted February 2012).

32.

West

Sweeting

. Fifteen, female and stressed: changing patterns of psychological distress over time. J Child Psychol Psychiatry 2003;44(3):399–411.

33.

Landstedt

Gillander Gådin

. Deliberate self-harm and associated factors in 17-year-old Swedish students. Scand J Public Health 2011;39(1):17–25.