camille pedroni [[email protected]] introduction

1
SOCIODEMOGRAPHIC CORRELATES OF ALCOHOL CONSUMPTION AMONG YOUNG ADOLESCENTS FROM TWO DIFFERENT SOCIO-CULTURAL CONTEXTS IN BELGIUM RESULTS Main differences between the two regions (Table 1): > In the WR, 73.2% were native versus only 23.4% in the BCR. > In the WR, almost twice as many adolescents from stepfamilies and half from low FAS families compared to the BCR. T1 Distribution of sample sociodemographic characteristics (%) WR (n=4,093) BCR (n=890) n % n % Gender Boys 2,001 48.9 432 48.5 Girls 2,092 51.1 458 51.5 Age 10-12 years 1,818 44.4 353 39.7 13-14 years 2,275 55.6 537 60.3 Family structure Two-parent families 2,720 66.4 631 70.9 Stepfamilies 642 15.7 73 8.2 Single-parent families 731 17.9 186 20.9 Family affluence scale (FAS) High 1,579 38.6 268 30.1 Medium 1,874 45.8 366 41.1 Low 640 15.6 256 28.8 Migration background Natives 2,998 73.2 211 23.4 Adolescents with foreign origins 1 1,095 26.8 679 76.3 1 This term includes adolescents born abroad and adolescents born in Belgium with one or both parents born abroad. The proportion of 10-14-year-old adolescents who have drunk at least once in the last 30 days before the survey was almost 2.5 times higher in the WR compared to the BCR (WR: 21.7%; BCR: 8.9%). INTRODUCTION At young age, while the body is still in development, alcohol consumption can cause irreversible brain damages and may affect negatively the cognitive, emotional and social development of children [1]. Moreover, people who started to drink regularly before the age of 14 are more likely to develop alcohol addiction in adulthood [2]. Previous research have reported sociodemographic inequalities in health-related behaviours among young people but patterns seemed not always clear [3]. OBJECTIVE The aim of this study was to estimate the associations between sociodemographic characteristics and alcohol consumption among 10-14-year-old adolescents in French-speaking Belgium. Such characteristics were investigated separately in the Walloon Region (WR) and in the French part of the Brussels-Capital Region (BCR); indeed, these two regions are characterized by distinct socio-cultural and economic contexts, which could lead to differences in determinants of consumption. METHODS > “Health Behaviour in School-aged Children” (HBSC) cross-sectional survey conducted in 2014 in the French-speaking part of Belgium [4]. > Self-administered questionnaires. > Two-stage random sample, stratified proportionally on the distribution of the school population by province and education network. > Sample: 4,983 10-14-year-old adolescents (4,093 in the WR and 890 in the BCR). > Alcohol consumption: having drunk at least one day during the last 30 days before the survey. > Sociodemographic characteristics: sex, age, socioeconomic status measured through the “Family Affluence Scale” (FAS) [5], family structure, and migration background. > Multivariable logistic regressions models, separately for the WR and the BCR. Camille Pedroni 1,2 , Maud Dujeu 1,2,3 , Thérésa Lebacq 1,2 , Nathalie Moreau 1,2 , Estelle Méroc 1,2 , Isabelle Godin 3 , Katia Castetbon 1,2 1 Service d’information, Promotion, Éducation Santé (SIPES), École de Santé Publique, Université libre de Bruxelles, Brussels, Belgium 2 Centre de Recherche Épidémiologie, Biostatistique et Recherche clinique, École de Santé Publique, Université libre de Bruxelles, Brussels, Belgium 3 Centre de recherche en Approches Sociales de la Santé, École de Santé Publique, Université libre de Bruxelles, Brussels, Belgium Camille Pedroni [[email protected]] SOCIODEMOGRAPHIC CORRELATES IN THE WALLOON REGION (WR) Were more likely to consume alcohol (Figure 1): > boys versus girls; > adolescents aged 13-14 years versus 10-12 years; > adolescents from “medium” or “high” FAS versus “low” FAS; > adolescents living in a single-parent family or a stepfamily versus those living with their two parents; > natives versus adolescents with foreign origins. SOCIODEMOGRAPHIC CORRELATES IN THE BRUSSELS-CAPITAL REGION (BCR) Large wealth and regional inequities persist in mother and child care utilization > Like in the WR, boys, 13-14 year olds, adolescents from stepfamilies, those from “high” socioeconomic status and natives were more likely to consume alcohol (Figure 2). SIGNIFICANT EFFECT MODIFICATIONS WITH GENDER WERE IDENTIFIED (FIGURE 3) > Alcohol consumption was not socially marked among boys (all associations NS); > among young girls, those aged 13-14 years, from stepfamilies or single-parent families, from “high” or “medium” FAS and natives were more likely to consume alcohol. F1 Sociodemographic factors associated with alcohol consumption among 10-14 year-old adolescents in the Walloon Region (n=4,093) Ref 1.60*** 1.53*** 1.52*** Ref Ref 1.45** 1.68*** 4.74*** Ref Ref 1.23** 0 1 10 Adolescents with foreign origins Natives Single-parent families Stepfamilies Two-parent families Low Medium High 13-14 years 10-12 years Girls Boys Migration background Family structure Family Affluence Scale (FAS) Age Gender OR *p<0.05; **p<0.01; ***p<0.001. Multivariable logistic regression. F2 Sociodemographic factors associated with alcohol consumption among 10-14 year-old adolescents in the Brussels-Capital Region (n=890) Ref 2.05** 1.70 3.32** Ref Ref 1.34 2.83** 2.40** Ref Ref 1.88* 0 1 10 OR Adolescents with foreign origins Natives Single-parent families Stepfamilies Two-parent families Low Medium High 13-14 years 10-12 years Girls Boys Migration background Family structure Family Affluence Scale (FAS) Age Gender *p<0.05; **p<0.01; ***p<0.001. Multivariable logistic regression. F3 Sociodemographic factors associated with alcohol consumption among young girls in the BCR (n=458) Ref 2.96* 6.82*** 8.02*** Ref Ref 4.06* 4.80** Ref 0 1 10 Adolescents with foreign origins Natives Single-parent families Stepfamilies Two-parent families Low Medium High 13-14 years 10-12 years Migration background Family structure Family Affluence Scale (FAS) Age OR 10.80** *p<0.05; **p<0.01; ***p<0.001. Multivariable logistic regression. LIMITATIONS > Data are collected using self- administered questionnaires: rates of alcohol use might be misreported. > Sub-groups analyses (analysis of effect modification with gender in RBC) are limited by small sample size. CONCLUSION Despite very different prevalence, alcohol consumption in young adolescence was associated with the same sociodemographic characteristics in both regions but with variable strengths. Living with both parents played a protective role. In contrast, other rather favourable living conditions such as having a high socio-economic status and being born in Belgium had, here, a negative influence by making young adolescents more likely to consume alcohol. In addition, effect modification due to gender was only observed in the BCR. These results highlight the socio-demographic profile of adolescents to be targeted in the awareness-raising measures to the danger of early alcohol consumption. SIPES The results of HBSC survey in French-speaking Belgium are available on : http://sipes.ulb.ac.be POSTER : N. DA COSTA MAYA, CDCS ASBL, BRUXELLES, JUIN 2018 REFERENCES 1. Crews F, He J, Hodge C. Adolescent cortical development: a critical period of vulnerability for addiction. Pharmacol Biochem Behav. 2007;86:189-99. 2. Pitkänen T, Lyyra A-L, Pulkkinen L. Age of onset of drinking and the use of alcohol in adulthood: a follow-up study from age 8-42 for females and males. Addiction. 2005;100:652–61. 3. Donovan JE. Adolescent alcohol initiation: a review of psychosocial risk factors. J Adolesc Health. 2004;35:529.E7-18. 4. Moreau N., Lebacq T., Dujeu M., et al. Comportements, bien-être et santé des élèves. Enquête en 5e-6e primaire et dans le secondaire en Fédération Wallonie- Bruxelles. Service d’Information Promotion Éducation Santé, École de Santé Publique, Université libre de Bruxelles. 2017. 320 pages. 5. Torsheim T, Cavallo F, Levin KA, et al. Psychometric validation of the revised family affluence scale: a latent variable approach. Child Indic Res. 2016;9:771-84.

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Page 1: camille pedroni [camille.pedroni@ulb.ac.be] introduction

Sociodemographic correlateS of

alcohol conSumption among young

adoleScentS from two different

Socio-cultural contextS in Belgium

reSultSMain differences between the two regions (Table 1):> In the WR, 73.2% were native versus only 23.4% in the

BCR.> In the WR, almost twice as many adolescents from

stepfamilies and half from low FAS families compared to the BCR.

T1 Distributionofsamplesociodemographiccharacteristics(%)

WR (n=4,093) BCR (n=890)n % n %

GenderBoys 2,001 48.9 432 48.5Girls 2,092 51.1 458 51.5

Age10-12 years 1,818 44.4 353 39.713-14 years 2,275 55.6 537 60.3

Family structureTwo-parent families 2,720 66.4 631 70.9Stepfamilies 642 15.7 73 8.2Single-parent families 731 17.9 186 20.9

Family affluence scale (FAS)High 1,579 38.6 268 30.1Medium 1,874 45.8 366 41.1Low 640 15.6 256 28.8

Migration backgroundNatives 2,998 73.2 211 23.4Adolescents with foreign origins1 1,095 26.8 679 76.3

1 ThistermincludesadolescentsbornabroadandadolescentsborninBelgiumwithoneorbothparentsbornabroad.

The proportion of 10-14-year-old adolescents who have drunk at least once in the last 30 days before the survey was almost 2.5 times higher in the WR compared to the BCR (WR: 21.7%; BCR: 8.9%).

introductionAt young age, while the body is still in development, alcohol consumption can cause irreversible brain damages and may affect negatively the cognitive, emotional and social development of children [1]. Moreover, people who started to drink regularly before the age of 14 are more likely to develop alcohol addiction in adulthood [2]. Previous research have reported sociodemographic inequalities in health-related behaviours among young people but patterns seemed not always clear [3].

oBjectiveThe aim of this study was to estimate the associations between sociodemographic characteristics and alcohol consumption among 10-14-year-old adolescents in French-speaking Belgium.Such characteristics were investigated separately in the Walloon Region (WR) and in the French part of the Brussels-Capital Region (BCR); indeed, these two regions are characterized by distinct socio-cultural and economic contexts, which could lead to differences in determinants of consumption.

methodS

> “Health Behaviour in School-aged Children” (HBSC) cross-sectional survey conducted in 2014 in the French-speaking part of Belgium [4].

> Self-administered questionnaires.> Two-stage random sample, stratified proportionally on the distribution of the

school population by province and education network.> Sample: 4,983 10-14-year-old adolescents (4,093 in the WR and 890 in the BCR).> Alcohol consumption: having drunk at least one day during the last 30 days before

the survey.> Sociodemographic characteristics: sex, age, socioeconomic status measured

through the “Family Affluence Scale” (FAS) [5], family structure, and migration background.

> Multivariable logistic regressions models, separately for the WR and the BCR.

CamillePedroni1,2,MaudDujeu1,2,3,ThérésaLebacq1,2,NathalieMoreau1,2,EstelleMéroc1,2,IsabelleGodin3,KatiaCastetbon1,2

1 Serviced’information,Promotion,ÉducationSanté(SIPES),ÉcoledeSantéPublique,UniversitélibredeBruxelles,Brussels,Belgium

2 CentredeRechercheÉpidémiologie,BiostatistiqueetRechercheclinique,ÉcoledeSantéPublique,UniversitélibredeBruxelles,Brussels,Belgium

3 CentrederechercheenApprochesSocialesdelaSanté,ÉcoledeSantéPublique,UniversitélibredeBruxelles,Brussels,Belgium

camille pedroni [[email protected]]

SoCiodeMoGRAphiC CoRRelAteS in the WAlloon ReGion (WR)

Were more likely to consume alcohol (Figure 1):> boys versus girls;> adolescents aged 13-14 years versus 10-12 years;> adolescents from “medium” or “high” FAS versus

“low” FAS;> adolescents living in a single-parent family or

a stepfamily versus those living with their two parents;

> natives versus adolescents with foreign origins.

SoCiodeMoGRAphiC CoRRelAteS in the BRuSSelS-CApitAl ReGion (BCR)

Large wealth and regional inequities persist in mother and child care utilization> Like in the WR, boys, 13-14 year olds,

adolescents from stepfamilies, those from “high” socioeconomic status and natives were more likely to consume alcohol (Figure 2).

SiGniFiCAnt eFFeCt ModiFiCAtionS With GendeR WeRe identiFied (FiGuRe 3)

> Alcohol consumption was not socially marked among boys (all associations NS);

> among young girls, those aged 13-14 years, from stepfamilies or single-parent families, from “high” or “medium” FAS and natives were more likely to consume alcohol.

F1 Sociodemographicfactorsassociatedwithalcoholconsumptionamong10-14year-oldadolescentsintheWalloonRegion(n=4,093)

Ref 1.60***

1.53*** 1.52***

Ref

Ref 1.45**

1.68***

4.74*** Ref

Ref 1.23**

0 1 10

Adolescents with foreign origins Natives

Single-parent families Stepfamilies

Two-parent families

Low Medium

High

13-14 years 10-12 years

Girls

Boys

Mig

ratio

nba

ckgr

ound

Fam

ilyst

ruct

ure

Fam

ily A

fflu

ence

S

cale

(FA

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Age

G

ende

r OR

*p<0.05;**p<0.01;***p<0.001.Multivariablelogisticregression.

F2 Sociodemographicfactorsassociatedwithalcoholconsumptionamong10-14year-oldadolescentsintheBrussels-CapitalRegion(n=890)

Ref

2.05**

1.70

3.32**

Ref

Ref

1.34

2.83**

2.40** Ref

Ref

1.88*

0 1 10 OR

Adolescents with foreign origins

Natives

Single-parent families

Stepfamilies

Two-parent families

Low

Medium

High

13-14 years 10-12 years

Girls

Boys

Mig

ratio

nba

ckgr

ound

Fam

ilyst

ruct

ure

Fam

ily A

fflu

ence

S

cale

(FA

S)

Age

G

ende

r

*p<0.05;**p<0.01;***p<0.001.Multivariablelogisticregression.

F3 SociodemographicfactorsassociatedwithalcoholconsumptionamongyounggirlsintheBCR(n=458)

Ref

2.96*

6.82***

8.02***

Ref

Ref

4.06*

4.80**

Ref

0 1 10

Adolescents with foreign origins

Natives

Single-parent families

Stepfamilies

Two-parent families

Low

Medium

High

13-14 years

10-12 years

Mig

ratio

nba

ckgr

ound

Fam

ily s

truc

ture

Fa

mily

Aff

luen

ceS

cale

(FA

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Age

OR

10.80**

*p<0.05;**p<0.01;***p<0.001.Multivariablelogisticregression.

limitationS> Data are col lected us ing se l f -

administered questionnaires: rates of alcohol use might be misreported.

> Sub-groups analyses (analysis of effect modification with gender in RBC) are limited by small sample size.

concluSionDespite very different prevalence, alcohol consumption in young adolescence was associated with the same sociodemographic characteristics in both regions but with variable strengths. Living with both parents played a protective role. In contrast, other rather favourable living conditions such as having a high socio-economic status and being born in Belgium had, here, a negative influence by making young adolescents more likely to consume alcohol. In addition, effect modification due to gender was only observed in the BCR. These results highlight the socio-demographic profile of adolescents to be targeted in the awareness-raising measures to the danger of early alcohol consumption.

SipeS • The results of HBSC survey in French-speaking Belgium are available on: http://sipes.ulb.ac.be

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referenceS1. Crews F, He J, Hodge C. Adolescent cortical development: a critical period of

vulnerability for addiction. Pharmacol Biochem Behav. 2007;86:189-99.2. Pitkänen T, Lyyra A-L, Pulkkinen L. Age of onset of drinking and the use of alcohol

in adulthood: a follow-up study from age 8-42 for females and males. Addiction. 2005;100:652–61.

3. Donovan JE. Adolescent alcohol initiation: a review of psychosocial risk factors. J Adolesc Health. 2004;35:529.E7-18.

4. Moreau N., Lebacq T., Dujeu M., et al. Comportements, bien-être et santé des élèves. Enquête en 5e-6e primaire et dans le secondaire en Fédération Wallonie-Bruxelles. Service d’Information Promotion Éducation Santé, École de Santé Publique, Université libre de Bruxelles. 2017. 320 pages.

5. Torsheim T, Cavallo F, Levin KA, et al. Psychometric validation of the revised family affluence scale: a latent variable approach. Child Indic Res. 2016;9:771-84.