Abstract
Background
Adolescent risk behaviours such as smoking, alcohol use and antisocial behaviour are associated with increased risk of morbidity and mortality. Patterns of risk behaviour may vary between genders during adolescence.
Methods
Analysis of data from a longitudinal birth cohort to assess the prevalence and distribution of multiple risk behaviours by gender at age 15–16 years with a focus on alcohol use at age 10, 13 and 15 years.
Results
By age 15 years, over half of boys and girls had consumed alcohol and one-fifth had engaged in binge drinking with no clear difference by gender. At age 15–16 years, the most prevalent risk behaviours were physical inactivity (74%), antisocial and criminal behaviour (42%) and hazardous drinking (34%). Boys and girls engaged in a similar number of behaviours but antisocial and criminal behaviours, cannabis use and vehicle-related risk behaviours were more prevalent among boys, whilst tobacco smoking, self-harm and physical inactivity were more prevalent among girls.
Conclusion
Multiple risk behaviour is prevalent in both genders during adolescence but the pattern of individual risk behaviour varies between boys and girls. Effective interventions at the individual, family, school, community or population level are needed to address gender-specific patterns of risk behaviour during adolescence.
Keywords: Alcohol, risk behaviour, adolescence, cohort
Introduction
Modifiable risk behaviours such as smoking, alcohol intake, drug use, poor diet and physical inactivity, both individually and collectively, account for substantial morbidity and mortality throughout life.1–4 Critically, risk behaviours are often initiated during adolescence5,6 and the frequency of engagement in behaviours rises with increasing age during the teenage years,6–9 often continuing into early adulthood.10–14 A number of studies have demonstrated clustering of risk behaviours such as smoking, substance use, antisocial behaviour and sexual risk behaviour during adolescence,15–21 and estimates from the USA, Canada and the UK indicate that between 6 and 13% of adolescents smoke regularly, drink alcohol and use illicit drugs.8,9,22,23 Moreover, early initiation of risk behaviours is associated with engagement in multiple risk behaviours during both early and late adolescence,5,24,25 and simultaneous engagement in such behaviours during adolescence is associated with increased morbidity and premature mortality.26
Regular alcohol use and binge drinking among adolescents are risk behaviours of particular concern. Early use of alcohol is associated with multiple risk behaviours and detrimental impacts including sexual risk behaviour, sexually transmitted infections, substance use, criminal and violent behaviour, academic underachievement, mood disorders, injury and high levels of alcohol-related attendances at hospital.13,27–35 Survey data also demonstrate that ∼70% of young people in the UK consume alcohol and the prevalence of recent use is over 3-fold higher than recent tobacco or cannabis use. The UK has one of the highest levels of alcohol use in young people among European countries, ranking third of 35 countries in estimated alcohol consumption and prevalence of recently being drunk.36
Following upward trends in alcohol use in the UK during the 1990s and early 2000s,37–40 data indicate that self-reported alcohol consumption and heavy drinking have fallen slightly among men and women across all age groups in recent years, including adolescents.8,9,41 However, alcohol-related hospital admissions have continued to rise,38 rates of alcohol-related deaths in the UK have increased consistently over recent decades,37,42,43 and mean alcohol consumption among adolescents has risen steadily over recent years. In addition, reported alcohol consumption has increased in adolescent boys aged 11–13 years.8,44,45
It is not yet clear whether such trends will continue to be sustained, and the impacts of high levels of use in adolescence, and changing patterns of consumption by gender or socio-demographic group, have yet to be fully clarified. Patterns of alcohol use vary between genders both in the UK and internationally,46,47 but increases in alcohol consumption particularly among young females in the UK37,40 have narrowed the gender gap in alcohol intake and binge drinking in young people. Among adolescents, gender-related patterns of alcohol consumption have been reported in relation to use during early adolescence or the type of drink consumed, but gender differences for a number of other measures such as mean alcohol consumption or frequency of recent use are less clear.8,9,31,48,49
Given evidence demonstrating an association between alcohol use and multiple risk behaviours, it is possible that the pattern of engagement in a range of risk behaviours varies by gender at this time. This may have implications for the design and implementation of public health interventions to address single and multiple risk behaviours as well as interventions to address the resulting burden of disease. Whilst studies have demonstrated that engagement in multiple risk behaviours differs by gender during adolescence,5,6,16 the majority of studies focus on a relatively narrow range of behaviours,6,15,16,19,23,50 and findings vary by age at measurement and the individual risk behaviours considered.
This paper aims to summarize and compare data from a prospective UK birth cohort [the Avon Longitudinal Study of Parents and Children (ALSPAC)] describing the prevalence and pattern of alcohol use and binge drinking by gender during early and later adolescence, alongside analysis of the prevalence of multiple risk behaviour by gender at age 15–16 years. Detailed analyses of data relating to the prevalence and determinants of alcohol use within the ALSPAC cohort at age 10 and 13 years have been previously reported and are included in the current analysis based on categorizations used in the original publications.48,49,51
Methods
The core sample of the ALSPAC includes 14 541 women who were expecting to deliver infants between 1 April 1991 and 31 December 1992 in the former county of Avon, UK. ALSPAC parents and children have been followed-up regularly since recruitment, via data from questionnaires completed by mothers, children and teachers and via clinic assessments. The population included is representative of a primarily white population with a small proportion of individuals in ethnic minority groups (5%) and diverse socio-economic backgrounds. Ethical approval for the study was granted from the ALSPAC Law and Ethics Committee and the local research ethics committee. Full details about the ALSPAC study and design are described elsewhere (http://www.bristol.ac.uk/alspac).
Alcohol use at age 10 years
The analysis excluded multiple births and births with no information regarding the early life exposures considered by the study,49 giving a sample of 12 803 children, representing 92% of live infants. Alcohol use was assessed as a binary variable in the 6 months before assessment at age 10 years. Data regarding alcohol use were provided by 6895 children (3410 boys and 3485 boys). Methods of analysis are provided elsewhere.49
Alcohol use at age 13 years
Data regarding alcohol use was obtained via face-to-face interview between participants aged 13 years and trained examiners between January 2005 and September 2006. Interviews included questions regarding drinking experience, age of initiation of alcohol use and frequency of use. Binge drinking was determined using a binary variable indicating whether the participant had ever consumed three or more than three drinks in 1 day (a minimum of three units of alcohol) as recommended as a cut-off for this age group.52 A total of 5837 children (2960 girls and 2877 boys) attended the assessment at age 13 years and were therefore included in the analysis, representing 55.2% of the participants invited (n = 10 569) and 41.8% of eligible subjects (n = 13 973). The median age of participants included in the analysis was 13.8 years. Methods of analysis are described in detail elsewhere.48
Alcohol use at age 15 years
At age 15 years, the sample included 5067 boys and girls, although the numbers included in the analysis of each outcome vary slightly owing to missing data. Data were obtained via a computer-based session at a clinic assessment which included questions regarding age at first whole drink, frequency of drinking, the number of drinks consumed on a typical day, frequency of binge drinking and symptoms of dependence. Binge drinking was analysed using an ordinal variable indicating the number of times the participant had consumed five or more drinks during a 24-h period over the last 2 years. Symptoms of alcohol dependence were defined as a binary variable indicating whether a child had recurrently (three or more times) experienced three or more dependent-like symptoms in the last 2 years. Dependent-like symptoms were defined on the basis of 12 questions which could be linked to criteria for dependence according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) and International Classification of Diseases (ICD-10). Data relating to alcohol use at ages 13 and 15 years were analysed using STATA version 11.
Alcohol use and multiple risk behaviour at 15–16 years
Chi-square tests were used to analyse the association between the number of drinks the young person consumed on a typical day in the last 6 months (≤3 or ≥4) at age 15 years and each of the multiple risk behaviours tested at age 16 years (see below). The complete case sample with no missing values included 2591 individuals. The association between hazardous drinking at 16 years [defined by the alcohol use disorders identification test (AUDIT)] and each of the risk behaviours was also analysed. The latter sample included 2657 individuals.
Multiple risk behaviour at 15–16 years
Measures of the multiple risk behaviours considered were derived from a computer-based clinic session at 15 years of age and a postal questionnaire completed at age 16. All behaviours were measured at 16 years of age, with the exception of sexual risk behaviour and antisocial and criminal behaviour, which were assessed at 15 years of age. Risk behaviours were as follows: physical inactivity (less than five episodes of physical exercise per week over the past year), sedentary behaviour (television viewing of 3 or more hours per day), unprotected sex (not using any form of contraception on the last occasion of sexual intercourse), sex before age 16 years, self-harm (ever having intentionally hurt them self at some point in their lifetime), tobacco smoking (smoking at least one cigarette per week), hazardous alcohol drinking (consuming at least hazardous levels of alcohol defined by AUDIT since age 15 years), cannabis use (using cannabis at least once per week).
Composite variables were used for antisocial and criminal behaviour, illicit (non-cannabis) drug use and vehicle-related risk. Antisocial and criminal behaviour was determined by ever having carried out one or more of the following: carrying a weapon, physically hurting somebody on purpose, taking property or breaking into a property, selling illicit drugs, damaging property either by using graffiti, setting fire to it or deliberately destroying/damaging it, using verbal or physical racial abuse, or being rude/rowdy in a public place. Drug and solvent use was defined as use of at least one of the following substances at least five times since the participant's 15th birthday: aerosols, gas, glue, solvents, poppers, amphetamines, ecstasy, lysergic acid diethylamide (LSD), magic mushrooms, cocaine, crack, heroin and ketamine. Vehicle-related risk included cycling without a helmet (not wearing a helmet on the last occasion of cycling within the last 4 weeks), scooter risk (riding a motorbike or scooter off road or without a licence on a public road) and car passenger risk (being a passenger at least once and either knowing that the driver had consumed alcohol; knowing that the driver did not have a licence to drive without supervision; or not wearing a seatbelt on the last occasion).
The complete case sample with no missing values across the variables of interest included 2657 individuals (1070 boys and 1587 girls). The Wilcoxon rank-sum test was used to test whether the median number of behaviours in which adolescents engaged differed between boys and girls; and chi-square tests of association were used to assess gender differences in the rates of individual behaviours. Data were analysed using STATA version 11.
Results
Alcohol use
At early stages of adolescence (age 10 years), the prevalence of alcohol use in the 6 months preceding assessment was low overall at 1.8%, although the prevalence was higher in boys [2.6%, 95% confidence interval (95% CI) 2.1–3.2%] compared with girls (0.8%, 0.5–1.2%; Table 1).49
Table 1.
Alcohol use at age 10, 13 and 15 years by gender
| Measure of alcohol use |
Boys |
Girls |
P* | ||||
|---|---|---|---|---|---|---|---|
| n | % | 95% CI | n | % | 95% CI | ||
| Age 10 yearsa | |||||||
| Alcohol use in previous 6 months | — | 2.6 | 2.1–3.2 | — | 0.8 | 0.5–1.2 | — |
| Age 13 yearsb | |||||||
| Ever drinking with no permission | 749 | 26.2 | 24.6–27.8 | 768 | 26.1 | 24.5–27.7 | 0.95 |
| Ever whole drinkingc | 1479 | 51.6 | 49.8–53.5 | 1582 | 53.7 | 51.9–55.5 | 0.11 |
| Whole drinking at <12 years | 400 | 14.2 | 12.9–15.5 | 359 | 12.4 | 11.2–13.6 | 0.05 |
| Ever binge drinking | 577 | 20.4 | 18.9–21.9 | 609 | 21.0 | 19.5–22.5 | 0.54 |
| Drinking with no permission in previous 6 months | 683 | 23.9 | 22.3–25.5 | 711 | 24.2 | 22.6–25.8 | 0.80 |
| Whole drinking in previous 6 months | 1126 | 39.4 | 37.6–41.2 | 1250 | 42.5 | 40.7–44.3 | 0.02 |
| Age 15 years | |||||||
| Frequency of drinking in past 6 months | |||||||
| Never | 490 | 20.8 | 19.1–22.4 | 477 | 17.7 | 16.3–19.2 | |
| 0–19 times | 1383 | 58.6 | 56.6–60.6 | 1727 | 64.2 | 62.4–66.0 | |
| ≥20 times | 486 | 20.6 | 19.0–22.2 | 487 | 18.1 | 16.6–19.6 | <0.01d |
| Number of drinks on a typical day when drinking | |||||||
| 0–1 | 1354 | 59.1 | 57.1–61.1 | 1376 | 52.7 | 50.8–54.6 | |
| 2–3 | 484 | 21.1 | 19.4–22.8 | 643 | 24.6 | 23.0–26.3 | |
| ≥4 | 454 | 19.8 | 18.2–21.4 | 593 | 22.7 | 21.1–24.3 | <0.01 |
| Frequency of binge drinking in the last 2 years | |||||||
| Never | 1037 | 43.7 | 41.7–45.7 | 1135 | 42.1 | 40.3–44.0 | |
| 1–19 times | 1083 | 45.7 | 43.7–47.7 | 1289 | 47.8 | 45.9–49.7 | |
| ≥20 times | 252 | 10.6 | 0.94–11.9 | 271 | 10.1 | 0.89–11.2 | 0.30 |
| Symptoms of alcohol dependence | |||||||
| No experience of dependent-like symptoms | 2129 | 91.1 | 89.9–92.3 | 2423 | 90.5 | 89.4–91.6 | |
| Experience of 3 or more dependent-like symptomse | 208 | 8.9 | 7.7–10.1 | 255 | 9.5 | 8.4–10.6 | 0.45 |
aData relating to alcohol use at age 10 years included from ref. 49.
bData relating to alcohol use at age 13 years included from ref. 48.
cA whole drink is a can of beer, a glass of wine, a bottle of alcopop, a shot of spirit or any full drink that contains alcohol.
dChi-squared P values are reported for gender difference across ordinal variables.
eExperience of symptoms in the past 2 years. Dependent-like symptoms were defined on the basis of 12 questions which could be linked to the criteria for dependence according to DSM-IV and ICD-10.
*Chi-squared P values are reported for gender differences.
The frequency of drinking before 12 years of age was slightly higher in boys compared with girls (Table 1). At 13 years of age, over half of boys and girls had ever had an alcoholic drink (51.6%, 49.8–53.5%; 53.7%, 51.9–55.5%, respectively) and approximately one-fifth had ever engaged in binge drinking. There was no difference in the prevalence of binge drinking by gender (Table 1). There was, however, evidence that girls were more likely to drink in the previous 6 months compared with boys (42.5%, 40.7–44.3%; 39.4%, 37.6–41.2%, respectively; P = 0.02).
At 15 years of age, over half of girls and boys had consumed alcohol at least once in the previous 6 months (boys, 79.2%; girls, 82.3%) and over half had engaged in binge drinking at least once (boys, 56.3%; girls, 57.9%; Table 1). Girls were more likely than boys to drink two or more drinks on a typical day when drinking and fewer girls had never had a drink in the previous 6 months. A greater proportion of girls also reported consumption of alcohol 0–19 times in the past 6 months than boys, although data indicated that a slightly higher proportion of boys drank >20 times in the previous 6 months (Table 1). There was no evidence of a difference by gender in the frequency of binge drinking or symptoms of alcohol dependence (Table 1).
Given the high prevalence of alcohol use at 15 years of age, we analysed the association between alcohol consumption and a range of other risk behaviours later in adolescence (age 16 years). Higher alcohol consumption at age 15 was associated with significantly higher prevalence of engagement in all of the risk behaviours at age 16 years (all P < 0.001), except physical inactivity, sedentary behaviour and not wearing a bicycle helmet (P = 0.15, 0.20; 0.99, respectively). The association was particularly evident for substance use and sexual risk behaviours for which prevalence was more than 2-fold greater among those who reported higher levels of alcohol consumption at age 15 (Supplementary data, Table S1). Among hazardous drinkers at age 16 years, the prevalence of engagement in substance use behaviours was 6-fold higher than in non-hazardous drinkers (Supplementary data, Table S1).
Multiple risk behaviour at age 15–16 years
Following identification of an association between alcohol use and multiple risk behaviours, we examined the overall prevalence of these behaviours by gender at age 15–16 years. The frequency of engagement in single and multiple risk behaviours is shown in Fig. 1. At 15–16 years of age, 40% (n = 1059) of adolescents engaged in between three and five behaviours (42.0% boys; 38.4% girls) and 6.2% (n = 164) engaged in seven or more (6.0% boys; 6.3% girls). Just 5% (n = 125) did not engage in any of the risk behaviours examined. The median number of behaviours did not differ by gender (z = 1.5, P = 0.14).
Fig. 1.
Frequency of single and multiple risk behaviours by gender in adolescents aged 15–16 years.
The data in Table 2 indicate that the most prevalent risk behaviours were physical inactivity (74.3%), antisocial behaviour and criminal offending (42.1%) and hazardous drinking (33.7%); 28% of adolescents also engaged in car passenger-related risk behaviour. The prevalence of use of substances other than alcohol (i.e. tobacco, cannabis and drugs and solvents) was <10% among girls and boys and unprotected sex was the least prevalent risk behaviour (1.3%).
Table 2.
Prevalence of risk behaviours (%) in adolescents aged 15–16 years by gendera
| Risk behaviour | All |
Boys |
Girls |
P* | ||
|---|---|---|---|---|---|---|
| % | % | 95% CI | % | 95% CI | ||
| Inactivity | ||||||
| Physical inactivity | 74.3 | 63.7 | 60.9–66.6 | 81.4 | 79.5–83.3 | <0.01 |
| Daily hours of television viewed | 19.5 | 20.7 | 18.2–23.1 | 18.8 | 16.9–20.7 | 0.23 |
| Criminal offences and antisocial behaviour (ASB)b | ||||||
| ASB and/or committing one or more offences | 42.1 | 50.3 | 47.3–53.3 | 36.6 | 34.2–39.0 | <0.01 |
| Substance use | ||||||
| Hazardous alcohol drinking | 33.7 | 32.4 | 29.6–35.2 | 34.5 | 32.2–36.9 | 0.26 |
| Tobacco smoking | 10.0 | 7.1 | 5.6–8.6 | 12.1 | 10.5–13.7 | <0.01 |
| Cannabis use | 9.1 | 10.6 | 8.7–12.4 | 8.1 | 6.8–9.5 | 0.03 |
| Drug and solvent usec | 4.6 | 4.4 | 3.2–5.6 | 4.7 | 3.6–5.7 | 0.70 |
| Vehicle-related risk | ||||||
| Car passenger riskd | 27.9 | 26.5 | 23.9–29.2 | 28.8 | 26.6–31.0 | 0.20 |
| Cycling without a helmet | 23.9 | 37.9 | 34.9–40.8 | 14.6 | 12.8–16.3 | <0.01 |
| Scooter riskse | 17.2 | 26.1 | 23.4–28.7 | 11.2 | 9.7–12.8 | <0.01 |
| Injuring self | ||||||
| Self-harm | 18.7 | 9.4 | 7.6–11.1 | 25.0 | 22.9–27.1 | <0.01 |
| Sexual behaviour | ||||||
| Sex before age 16 years | 13.8 | 10.9 | 9.1–12.8 | 15.7 | 13.9–17.5 | <0.01 |
| Unprotected sex | 1.3 | 0.4 | 0.0–0.7 | 2.0 | 1.3–2.6 | <0.01 |
aThe prevalence of sexual health behaviours and antisocial and criminal behaviours were measured at age 15 years; all other behaviours were measured at age 16 years.
bAntisocial and criminal behaviour is a composite variable defined as ever having carried out criminal damage, theft, assault, selling illicit drugs, carrying a weapon, racist abuse or rowdy behaviour in public places.
cDrug and solvent use is a composite variable which is defined by use five or more times since age 15 years of at least one of the following: aerosols, gas, glue, solvents, poppers, amphetamines, ecstasy, LSD, magic mushrooms, cocaine, crack, heroin and ketamine.
dCar passenger risk is a composite measure defined as being a passenger at least once and either knowing that the driver had consumed alcohol; knowing that the driver did not have a licence to drive without supervision; or not wearing a seatbelt on the last occasion.
eScooter risk is defined as riding a motorbike or scooter off road or without a licence on a public road.
*P value based on a proportion test for gender differences.
The prevalence of car passenger risk, sedentary behaviour, hazardous drinking and drug and solvent use did not differ between boys and girls (Table 2), and as observed at 13 and 15 years of age, there was no difference between boys and girls in the prevalence of binge drinking at age 16 (boys 36.1%, 33.2–39.1; girls 33.3%, 30.9–35.6; P = 0.129). However, a significantly greater proportion of girls reported physical inactivity, self-harm, tobacco smoking and sexual risk behaviour (all P < 0.01), whilst a greater proportion of boys reported antisocial behaviour and offending, cannabis use, cycling without a helmet and scooter risks (Table 2).
Within the composite measure of antisocial and criminal behaviour, we identified further differences between boys and girls in the prevalence of engagement in individual behaviours (Fig. 2). The most prevalent of these behaviours were criminal damage (boys, 29.0%; girls, 20.5%) and assault (boys, 26.3%; girls, 11.0%). All of the behaviours were more common among boys compared with girls, although there was no evidence of a marked difference in the prevalence of rowdiness and theft by gender (Fig. 2).
Fig. 2.
Prevalence of antisocial and criminal behaviours by gender at age 15 years.
The prevalence of both riding a moped or scooter off road and riding without a licence were markedly more prevalent among boys compared with girls (off road: boys, 27.8%; girls, 11.9%; no licence: boys, 10.4%; girls, 2.2%). The prevalence of drug and solvent use was low overall and was similar between genders. Among inhalants, poppers were the most frequently used substance (boys, 2.2%; girls, 3.4%) and among other drugs, ecstasy (boys, 1.8%; girls, 2.0%) and cocaine (boys, 1.1%; girls, 1.3%) were the most frequently used (data not shown).
Discussion
The prevalence of alcohol use among adolescents was low overall at age 10 years, but at 13 years of age, over half of boys and girls had consumed alcohol and one-fifth had engaged in binge drinking. By age 15 years, nearly half of adolescents had engaged in binge drinking and a third engaged in hazardous drinking at age 16 years with no clear difference in the prevalence by gender.
In contrast to binge drinking and hazardous drinking, the prevalence of engagement in a wide range of risk behaviours varied between boys and girls at 15–16 years of age, with antisocial and criminal behaviours, cannabis use and vehicle-related risk behaviours being more prevalent among boys but tobacco smoking, self-harm and physical inactivity being more prevalent among girls. A greater proportion of girls also reported engaging in sex before the age of 16 and having unprotected sex compared with boys. Whilst the prevalence of individual behaviours differed between boys and girls, there was no evidence of a difference in the median number of behaviours between boys and girls. Engagement in the majority of the risk behaviours (particularly substance use and sexual risk behaviour) was associated with alcohol use at 15 and 16 years of age.
The high levels of binge drinking and hazardous alcohol drinking at age 15–16 years are cause for concern. Recent guidance from the Chief Medical Officer recommends that young people do not drink alcohol at all before the age of 15 and that between 15 and 17 years of age, they should drink alcohol on no more than 1 day per week, and should not exceed recommended adult daily limits.44 The data that we and others report51 indicate that although advice is clear, there is disparity between the recommended limits and young people's behaviour, with substantial proportions of adolescents engaging in risk behaviours at greater than recommended levels that might be harmful to health.
Drinking outside of guideline levels at 15–16 years of age has been associated with greater experience of alcohol-associated risk behaviours such as forgetfulness, alcohol-related violence and regretted or unprotected sex,31 and high intake has also been associated with increased likelihood of injury, sexually transmitted infections, crime, motor vehicle collisions, car crash fatality and suicide.4,13,27,32–34 Our data also indicate that a higher level of alcohol use at 15 years of age is associated with engagement in a number of risk behaviours at 15–16 years of age, as supported by previous studies,16,22,29,34,53 although the cross-sectional nature of this analysis precludes any causal inference. The lack of association between alcohol consumption and physical inactivity is comparatively less well studied and warrants further research.
The high prevalence of initiation of alcohol consumption by 13 years of age (52% boys; 54% girls), alongside reports of rising consumption among very young adolescents in the UK45 also presents challenges for public health. Early alcohol use has been associated with greater risk of heavy drinking and dependence in adulthood,12,31,52 whilst binge drinking during adolescence is also associated with a 2- to 3-fold increased risk of binge drinking in adulthood.54 Notwithstanding damage to the liver associated with consistent high levels of alcohol consumption,55 these findings indicate that the burden of hazardous drinking and dependence may rise among young adults in coming years, concurrent with the burden of behaviours associated with alcohol use, such as unprotected sex and aggressive behaviour.
Currently, the burden of alcohol use and dependence is greater among male adolescents (boys, 7.2%; girls, <2.1%)3 and adults,56–58 but it is possible that the alcohol-associated health burden among females will become comparatively more evident in the coming years owing to increases in consumption and binge drinking particularly among young females over recent decades.8,37,40,59 Furthermore, evidence demonstrates that the brain continues to undergo structural and functional changes during adolescence, suggesting that alcohol consumption at this stage in the life course may have important consequences for brain development, whilst the identification of differences between genders in the trajectories of brain development60–62 raises the possibility that alcohol-related impacts on cognitive developments may differ between males and females.60,63
The reasons for changing patterns of alcohol use between genders are complex and are variable across cultures internationally suggesting that biological and socio-cultural influences such as gender equality, gender–income equity and changes in working patterns might play a role.47,64–66 Gender-dependent variation in factors such as abstention from alcohol use, the type of drink consumed, pace of intake or engagement in alcohol-related risk behaviours may influence subsequent impacts to health8,31,67,68 and such patterns and trends will need to be monitored over the longer term.
In contrast to the similar prevalence of alcohol use and binge drinking among adolescents aged 13 and 15–16 years, we found that engagement in a range of other risk behaviours differed by gender at age 15–16 years and those behaviours more associated with violence and possible injury, such as assault, criminal damage and carrying a weapon, were markedly more prevalent among boys compared with girls. These findings indicate that among boys, there may be a greater propensity for ‘sensation seeking’ or more immediate gratification, although the possibility that there may also be a greater likelihood of reporting of such behaviours among boys cannot be ruled out.
Impulsivity and sensation seeking have been associated with greater likelihood of gambling onset in youth, risky sexual behaviour, smoking, alcohol use and aggression,69–72 and a number of studies also report clustering of ‘delinquent’ or antisocial behaviour with smoking, alcohol and drug use, crime and risky sexual behaviour during adolescence,10,16,19 all of which may individually and collectively cause harm to health. Nevertheless, studies show that violence, assault and antisocial behaviour peak at around 15 years in the UK and decline during early adulthood,73 and the long-term impacts of the high prevalence of engagement in such behaviours and differences between genders are not yet clear within this cohort.
Interestingly, we also identified that behaviours with less immediate adverse impacts on health including tobacco smoking, self-harm and physical inactivity were more prevalent among girls compared with boys; a finding supported by national survey data.8,74,75 Prevalence estimates for physical inactivity and smoking were similar to nationally reported rates, although the prevalence of ever having self-harmed among girls (25%) was higher compared with reported estimates.74 The greater engagement in behaviours with longer term impacts on health among girls may reflect different underlying psychological motivations and/or coping mechanisms by gender during adolescence and further research is needed to better understand risk and protective factors for engagement in different types and clusters of behaviours by gender.
The high prevalence of physical inactivity (74%) indicates that this is a norm during adolescence and thus it could be argued that this should not be considered a risk behaviour. However, guidance from the Chief Medical Officer recommends that young people undertake at least 60 min per day of at least moderate physical activity every day, and higher impact exercise at least twice a week to reduce the risk of harm to health.76 In our study, the data indicate that the majority of female adolescents and two thirds of male adolescents were not undertaking the minimum recommended amount of physical exercise, which increases the risk of chronic disease later in life.76 England-wide survey also demonstrate that physical inactivity decreases up to age 15 years among girls but remains more consistent among boys, exacerbating gender differences at ages 14 and 15 years.75 Historically, levels of physical inactivity have also been lower among younger female adults (age 16–24 years) compared with males.76
Our data demonstrate that the prevalence of risk behaviours such as unsafe sex and illicit drug use are comparatively low among all of the behaviours examined, yet neither the harms associated with such behaviours, nor the clustering of such behaviours, should be overlooked. Global burden of disease studies estimate that risk behaviours such as unsafe sex, self-inflicted injuries and illicit drug use are key risk factors for incident disability-adjusted life years (DALYs), contributing between 2 and 4% to DALYs among 10–24 year olds globally,3 and the burden of disease, mortality and social impacts associated with clustered behaviours is likely to be markedly higher.
Limitations
Whilst the use of a birth cohort has multiple advantages for analysis of the determinants and impacts of a wide range of exposures over an extended time period in a large sample, there are limitations to these analyses which must be noted. The analysis of simultaneous engagement in a large number of behaviours reduces the sample size owing to missing data, and the ALSPAC cohort is subject to loss to follow-up at each stage. Male cohort members and those from lower socio-economic groups are also less likely to attend assessment interviews,48 which could lead to inaccurate prevalence estimates, and self-report measures of behaviour used in this study are subject to reporting bias. Nevertheless, cohort members are given clear assurance of anonymity and confidentiality, and the prevalence estimates of behaviours including ever having consumed an alcoholic drink at or by age 13 years, and physical inactivity at age 15–16 years, were similar to nationally reported rates.8,75 Since cut-off points for determining measures of behaviour associated with harm to health are unclear during adolescence for certain behaviours, it is also possible that different thresholds may be appropriate at different stages of adolescence.
Implications and conclusions
Taken together, the data presented in this paper highlight high prevalence of alcohol use by 15 years of age with little evidence of a difference by gender. The data also demonstrate high prevalence of physical inactivity, criminal offending and antisocial behaviour and hazardous drinking by 16 years of age, as well as differences between boys and girls in relation to engagement in particular behaviours, but not the number of different behaviours per se.
These findings have implications for policy and practice. First, effective communication of clear harm reduction messages is required to address the high prevalence of hazardous drinking and physical inactivity during adolescence. Health policies and harm reduction messages also need to account for engagement in a wide spectrum of risk behaviours during adolescence which may vary by gender and socio-demographic determinants. Further research is needed to examine the clustering of multiple behaviours, the influence of gender and the social patterning and determinants of engagement in single and multiple risk behaviours to provide insight into effective strategies by which to address risk behaviour and thus to reduce harms to health.
Supplementary data
Supplementary data are available at the Journal of Public Health online.
Acknowledgements
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses.
Funding
Research reported here was supported by the Economic and Social Research Council (grant RES-060-23-0011; R.M. and G.L.); the Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer) which receives funding from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council (RES-590-28-0005), Medical Research Council, the Welsh Assembly Government and the Wellcome Trust (WT087640MA), under the auspices of the UK Clinical Research Collaboration (RC, RRK, MCS); Medical Research Council (grants G0800612 and G0802736; M.C.S., J.H. and M.H.); and the South West Public Health Training Scheme (G.J.M.).
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