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. 2024 Mar 13;11(3):339. doi: 10.3390/children11030339

Gender Differences in the Co-Use of Tranquilizers, Sedatives, Sleeping Pills and Alcohol among Spanish Adolescents: A Nationwide Population-Based Study

Pilar Carrasco-Garrido 1,2, Isabel Jiménez-Trujillo 1,2, Valentín Hernández-Barrera 1,2, Lidiane Lima Florencio 2,3,*, Spencer Yeamans 1,2, Domingo Palacios-Ceña 2,3
Editor: Margarida Gaspar de Matos
PMCID: PMC10969744  PMID: 38539374

Abstract

Adolescence is a critical developmental stage for the initiation of substance use worldwide, which is one of the main risk-taking behaviors that may impact adolescents’ physical and mental well-being. The aims of this study were to (1) assess the prevalence of the co-use of tranquilizers, sedatives, and sleeping pills with alcohol (TSSp&AC) by gender in the Spanish adolescent population in 2018 and (2) identify the variables associated with TSSp&AC. An observational cross-sectional study following STROBE guidelines was conducted. We analyzed data from 38,010 adolescents aged 14 to 18 years old (18,579 males and 19,431 females) who participated in ESTUDES (Survey on Drug Use in Secondary Education in Spain) 2018. Female adolescents reported a higher prevalence of TSSp&AC than males (p < 0.001). The factors associated with female co-use were being 16–18 years of age (OR 1.65); the consumption of tobacco (OR 1.73), cocaine (OR 1.84), other illicit psychoactive drugs (OR 1.89); and novel illicit psychoactive drugs (OR 1.74); no perceived health risk from the consumption of TSSps (OR 2.45); and the perceived availability of TSSps (OR 2.23) and alcohol (OR 2.09). There are several factors associated with TSSp&AC in Spanish female adolescents with potential implications for healthcare providers.

Keywords: adolescent, female, tranquilizing agents, ethanol, observational study, health surveys

1. Introduction

Adolescence is a critical developmental stage for the initiation of substance use worldwide, including substances such as tobacco, alcohol, marijuana- and cannabis-based products, cocaine, heroin, and psychoactive substances [1]. It also includes the misuse and use of prescribed drugs such as tranquilizers, sedatives, and sleeping pills (TSSps) and the co-use of several legal or illegal substances [2,3,4,5].

Substance use is one of the main risk behaviors during adolescence that can impact their mental and physical well-being [6]. Adolescents’ consumption pattern includes the combination of alcohol and non-medical prescription drugs, marijuana and alcohol, and marijuana and TSSps [3,4,5]. They also combine energy drinks with other substances such as TSSps, cannabis, alcohol, and tobacco, according to previous studies [6,7,8]. There is a concern that the co-use of different substances and the rise observed in adolescent consumption increases the risk of toxicity, overdoses, and addiction [2,9,10,11]. Several aspects can contribute to the co-use pattern among adolescents, and it seems to be accentuated by their perception of low risk and easy availability [2,3].

Worldwide, more than a quarter of young people aged 15–19 years, i.e., an estimated 155 million adolescents, drink alcohol [9]. The prevalence of heavy episodic drinking among adolescents aged 12–18 years ranges between 5% and 20%, with the rate rising as age increases [12]. Among Spanish adolescents, alcohol is the most used psychoactive substance, with a pattern of use mostly concentrated over the weekend. One-third (31.7%) of adolescents also have binge drinking habits [13].

Public health surveillance data from 2016 show that roughly 1.5 million US adolescents reported tranquilizer/sedative use or misuse in the previous year [14]. Adolescents’ consumption of TSSps has increased during the last few decades, and TSSps are currently among the substances with the lowest age of onset [15]. In Spain, previous studies reported that TSSp misuse by adolescents in Spain increased significantly between 2004 and 2014 [16,17].

Moreover, there are gender-related differences in adolescents’ patterns of consumption [3,16]. A greater prevalence of TSSp, stimulant, and alcohol use can be observed for female adolescents when compared with male adolescents, according to their context and geographic area [17,18,19,20]. In Spain, both alcohol and nonmedical TSSp consumption have increased, especially among females, between 2004 and 2014 [16,17,20]. There is also a distinct consumption pattern related to immigration, with lower drug and substance consumption observed for immigrant adolescents (or those with an immigrant background) when compared to native-born adolescents [21,22].

It has been reported that alcohol consumption is a factor associated with TSSp use [16,17,19,20], but to the best of our knowledge, there have been no studies describing the co-use of TSSps and alcohol (TSSp&AC) among adolescents. Due to the negative impact of substance use among adolescents (e.g., associations with unsafe sex, dangerous driving, violence, and premature deaths) [9], it is important to identify the gender prevalence of TSSp&AC among adolescents. The objectives of the present study were to (1) assess the prevalence of TSSp&AC by gender in the Spanish adolescent population (14–18 years) in 2018 and (2) identify sociodemographic features, lifestyle habits, perceived health risks from consumption, and the perceived availability of substances associated with TSSp&AC among adolescents in Spain in 2018.

2. Materials and Methods

2.1. Ethics Statement

According to Spanish legislation, the approval of the ethics committee was not necessary since a publicly accessible dataset with anonymous data was used [23]. All the surveys analyzed were anonymous and dissociated and contained no recognizable personal information.

2.2. Study Design

For this cross-sectional study, data were obtained from the 2018 Survey on Drug Use in Secondary Education in Spain (ESTUDES 2018), which was conducted in Spain from October 2018 to October 2019.

ESTUDES is an ongoing national survey, performed biannually since 1994 on adolescents between 14 and 18 years old [24]. ESTUDES uses a similar methodology to studies developed in Europe and the USA, which allows for international comparison. The surveys use a two-stage cluster sampling, in which the educational centers were first randomly selected (first-stage units) and then the classrooms (second-stage units). Details of the methodology can be found elsewhere [24]. Briefly, ESTUDES 2018 includes a representative sample of the Spanish adolescent population aged from 14 to 18 years old enrolled in the 3rd and 4th year of Compulsory Secondary Education (ESO), the 1st and 2nd year of Baccalaureate, and the 1st and 2nd year of Basic Vocational Training Cycles and Intermediate Vocational Training Cycles. Excluded from this framework were certain groups such as 14-year-old students in Primary Education, 18-year-old students enrolled in university studies, students between 14 and 18 years of age who did not attend class on the day and time the survey was completed (absentees), students in General Regime Education included in Social Guarantee and Distance Education Programs, and students in Evening and Special Regime Education. Two classrooms per center were chosen for participation in the survey from the same teaching stratum, and the questionnaire was provided to all the students present. All schools and classrooms had the same probability of participating in the survey within each stratum, regardless of their size. Data collection was performed using an anonymous and standardized self-reported questionnaire [24]. For the present study, the sample was stratified by gender, and the results are displayed and compared between males and females. The 2018 survey included 38,010 adolescents of both sexes, aged from 14 to 18.

2.3. Study Variables

In ESTUDES 2018, the information used for creating the dependent variables (considered to be dichotomous variables) was obtained from “yes” or “no” answers to the following questions: “Have you taken a tranquilizer, sedative, and/or sleeping pill (TSSp) without a prescription during the last 12 months?” The questionnaire included the following drugs: hypnotics, Trankimazin, Rohypnol, Tranxilium, Diazepam, Valium, barbiturates, Lexatin, Orfidal, Noctamid, benzodiazepines, Zolpidem, etc., but it did not include Valerian, Passiflora, and Dormidina (doxylamine). Respondents were also asked “Have you drunk alcohol during the last 12 months?” and TSSp&AC was determined when adolescents answered “yes” to both questions.

The independent variables were the primary sociodemographic characteristics of the adolescent population—namely age, sex, nationality (Spanish or immigrant), parents’ occupational status (unemployed, employed, or inactive), parents’ educational level (no education, primary school, secondary school, and higher education), perceived family economic situation and population of the town. To determine the use of other substances, we used responses for smoking and energy drink consumption over the previous 12 months (dichotomous variable, yes/no). Also, to determine the use of illegal psychoactive substances, there were questions on the consumption of marijuana, cocaine, heroin, other illicit psychoactive drugs (LSD, non-LSD, hallucinogenic, and amphetamine), and novel psychoactive substances (Ketamine, Spice, Mephedrone, and Ayahuasca) during the previous 12 months.

We also used variables associated with the perceived risk of alcohol and TSSp consumption. For the perceived risk variable, subjects were asked to give their opinions about the health effects and other problems that could result from alcohol and TSSp use. This variable was categorized into some/many problems or none/few problems (no or few problems/quite a few or many problems). The perceived availability of the substances was categorized as “impossible”, “very difficult/easy” or “very easy”.

2.4. Statistical Analysis

The prevalence of total TSSp&AC for the ESTUDES 2018 survey was calculated according to the study variables. Data analysis from female and male adolescents was performed. For descriptive statistics, means and standard deviations were calculated for quantitative variables, and proportions for qualitative variables. Student’s t-test distribution or the Fisher exact test was used to compare, respectively, means and proportions, and Pearson’s χ2 test was used for the bivariate comparison of proportions. Statistical significance was set at p < 0.05 (2-tailed).

Multivariate logistic regression analysis was performed to estimate the independent effect of each study variable on TSSp&AC and to obtain the corresponding adjusted odds ratio (aOR) [25]. The variables included in the multivariate analysis were those variables with a significant association in the bivariate analysis and those variables considered relevant in the scientific literature. Once the model was constructed, we analyzed TSSp&AC during the study period and calculated the adjusted odds ratios (aORs). The logistic regression models were constructed in accordance with the following steps: (1) Bivariate analysis of each individual variable was performed; (2) all significant variables were included in the bivariate; (3) the Wald statistic for each variable was used to determine its contribution to the multivariate model; (4) the likelihood ratio test was used to compare the new model with the previous model; and (5) once the final model was constructed, we checked for any linearity and interactions in the model. No significant interactions were found. The aOR with a 95% confidence interval (95% CI) was the measure of association provided by the multivariable models.

Estimates were made by incorporating STATA/SE 16 (STATA Corp, College Station, Texas, TX, USA) sampling weights and using the “svy” (survey command) functions, which enabled us to incorporate the sampling design into all our statistical calculations (descriptive, χ2 test, logistic regression). Statistical significance was set at α < 0.05 (2-tailed). The effective response rate in ESTUDES 2018 was 97% [24].

3. Results

A total of 38,010 adolescents aged from 14 to 18 or older (48.87% males and 51.12% females) participated in ESTUDES 2018. The study population comprised 2392 females (12.31%) and 1396 males (7.52%), of whom 1111 (6.82%) were aged 14–15 years old and 2677 (12.32%) were aged 16–18 years old. The sociodemographic characteristics of the sample by gender are detailed in Table 1. Females presented a greater prevalence of TSSp&AC than males, with a proportion of 12.31% and 7.52%, respectively (p < 0.001). For both genders, TSSp&AC was most prevalent among those aged 16–18 years old, with once again a higher proportion of girls than boys within this age range. Regarding social aspects, the majority of the adolescents’ parents were employed and received secondary or higher education, and most of the adolescents lived in urban environments and reported average perceived incomes. In relation to substance use, consumption was lower among females than males, except for tobacco. Females also more frequently perceived a health-related risk from alcohol or TSSp consumption and considered themselves less informed about drugs than boys. However, females also more frequently felt that both substances were easy or very easy to obtain.

Table 1.

Characteristics of the study population according to gender; Survey on Drug Use in Secondary Education in Spain (ESTUDES) 2018.

Male Female Total
N % N % N % p-Value
Age 14–15 years 8005 43.09% 8279 42.61% 16,285 42.84% 0.348
16–18 years 10,574 56.91% 11,151 57.39% 21,725 57.16%
Total 18,579 100.00% 19,431 100.00% 38,010 100.00%
Nationality Spanish 16,792 90.65% 17,424 89.87% 34,216 90.25% 0.110
Immigrants 1733 9.35% 1964 10.13% 3697 9.75%
Occupational status of parents Unemployed both 551 3.03% 671 3.50% 1223 3.27% 0.026
Employed one 6228 34.26% 6616 34.53% 12,844 34.40%
Employed both 11,398 62.70% 11,873 61.97% 23,272 62.33%
Educational level of parents No formal education 317 1.93% 327 1.82% 644 1.87% 0.000
Primary school 744 4.52% 936 5.21% 1680 4.88%
Secondary school 7154 43.48% 8166 45.52% 15,320 44.55%
Higher education 8237 50.07% 8511 47.44% 16,747 48.70%
Perceived family income Above average 3012 16.42% 2071 10.80% 5083 13.55% 0.000
Average 14,519 79.18% 16,249 84.71% 30,768 82.01%
Below average 807 4.40% 861 4.49% 1668 4.45%
Living environment Rural (<10,000 inhabitants) 2634 14.18% 3074 15.82% 5708 15.02% 0.000
Urban (≥10,000 inhabitants) 15,945 85.82% 16,357 84.18% 32,302 84.98%
Any cigarette smoking in the past 12 months No 12,758 68.67% 11,973 61.62% 24,731 65.06% 0.000
Yes 5821 31.33% 7458 38.38% 13,279 34.94%
Energy drink use in the past 12 months No 9436 50.79% 13,420 69.07% 22,857 60.13% 0.000
Yes 9143 49.21% 6010 30.93% 15,153 39.87%
Marihuana use in the past 12 months No 13,712 73.80% 14,957 76.98% 28,670 75.43% 0.000
Yes 4867 26.20% 4473 23.02% 9340 24.57%
Cocaine use in the last 12 months No 17,986 96.81% 19,113 98.36% 37,099 97.60% 0.000
Yes 593 3.19% 318 1.64% 911 2.40%
Heroin use in the last 12 months No 18,456 99.33% 19,382 99.75% 37,838 99.55% 0.000
Yes 124 0.67% 48 0.25% 172 0.45%
Other illicit psychoactive drug use in the last 12 months No 17,672 95.12% 18,898 97.26% 36,570 96.21% 0.000
Yes 908 4.88% 532 2.74% 1440 3.79%
Novel psychoactive substances in the last 12 months No 18,071 97.26% 19,067 98.13% 37,138 97.70% 0.000
Yes 508 2.74% 364 1.87% 872 2.30%
Perceived health risks for consumption of alcohol No/few problems 4034 26.77% 3554 21.00% 7588 23.72% 0.000
Quite a few/many problems 11,035 73.23% 13,368 79.00% 24,402 76.28%
Perceived health risks for consumption of TSSps No/few problems 1366 10.28% 1257 8.39% 2623 9.28% 0.000
Quite a few/many problems 11,920 89.72% 13,713 91.61% 25,633 90.72%
Perceived availability of alcohol Impossible/very difficult to obtain 859 5.56% 819 4.75% 1678 5.13% 0.000
Easy/very easy to obtain 14,584 94.44% 16,448 95.25% 31,032 94.87%
Perceived availability of TSSps Impossible/very difficult to obtain 4864 52.73% 5196 52.43% 10,060 52.58% 0.001
Easy/very easy to obtain 4360 47.27% 4714 47.57% 9074 47.42%
Sufficiently informed about drugs Yes, perfectly 5744 31.99% 3885 20.41% 9629 26.03% 0.678
Yes, sufficiently 7322 40.77% 7798 40.96% 15,121 40.87%
Only halfway 3619 20.15% 5988 31.46% 9607 25.97% 0.000
No, I am misinformed 1273 7.09% 1365 7.17% 2639 7.13%
TSSp co-use with alcohol in the last 12 months No 17,183 92.48% 17,039 87.69% 34,222 90.03% 0.000
Yes 1396 7.52% 2392 12.31% 3788 9.97%

The results of the prevalence of TSSp&AC among male and female adolescents according to sociodemographic variables are presented in Table 2. Compared to males, females presented a greater prevalence of TSSp&AC in the 16–18 age range (OR 1.80), were predominantly native-born (OR 1.73), and had one or both parents employed (OR 1.82 and 1.68, respectively).

Table 2.

Prevalence of the co-use of tranquilizers, sedatives, and sleeping pills with alcohol among male and female adolescents according to sociodemographic variables.

Male Female Both OR Female
Variable Categories N % p-Value N % p-Value N % p-Value
Age group 14–15 years 427 5.33 0.000 684 8.26 0.000 1111 6.82 0.000 1.60 (1.37–1-87)
16–18 years 970 9.17 1708 15.31 2677 12.32 1.80 (1.60–2.00)
Total 1396 7.52 2392 12.31 3788 9.97 1.72 (1.58–1.89)
Nationality Spanish 1268 7.55 0.616 2156 12.38 0.293 3424 10.01 0.348 1.73 (1.57–1.90)
Immigrants 125 7.24 227 11.54 352 9.53 1.67 (1.24–2.26)
Occupational status of parents Unemployed both 56 10.15 0.042 96 14.23 0.253 151 12.39 0.019 1.47 (0.94–2.31)
Employed one 450 7.22 820 12.39 1270 9.88 1.82 (1.55–2.13)
Employed both 865 7.59 1443 12.15 2308 9.92 1.68 (1.50–1.89)
Educational level of parents No formal education 24 7.6 0.471 46 14.08 0.000 70 10.89 0.000 1.99 (0.96–4.11)
Primary school 64 8.59 129 13.75 193 11.46 1.69 (1.10–2.60)
Secondary school 574 8.03 1100 13.47 1674 10.93 1.78 (1.55–2.05)
Higher education 614 7.45 970 11.4 1584 9.46 1.59 (1.40–1.82)
Perceived family
income
Above average 287 9.53 0.000 282 13.61 0.008 569 11.19 0.000 1.49 (1.20–1.86)
Average 1018 7.01 1962 12.08 2980 9.69 1.82 (1.64–2.02)
Below average 79 9.79 129 14.99 208 12.47 1.62 (1.09–2.41)
Living
environment
Rural (<10,000 inhabitants) 178 6.75 0.109 387 12.58 0.608 565 9.89 0.850 1.98 (1.57–2.53)
Urban (≥10,000 inhabitants) 1219 7.64 2005 12.26 3223 9.98 1.69 (1.53–1.86)

The prevalence and association of TSSp&AC according to substance consumption and information, perceived risk, and availability are shown in Table 3. Girls were associated with a higher prevalence of TSSp&AC than boys when both reported consumption of tobacco (OR 1.51), energy drinks (OR 1.91), marijuana (OR 1.63), cocaine (OR 1.65), heroin (OR 2.06), other psychoactive drugs (OR 1.41), and novel psychoactive substances (OR 1.17). The prevalence of girls who reported TSSp&AC was also higher than boys among those who perceived no/few problems related to health risks from alcohol (OR 1.94) or TSSp (OR 2.29) consumption and among those who perceived alcohol (OR 1.74) or TSSp (OR 1.75) availability as “easy” or “very easy”.

Table 3.

Prevalence of the co-use of tranquilizers, sedatives, and sleeping pills with alcohol among male and female adolescents according to substance consumption and information, perceived risk, and availability.

Male Female Both OR Female
Variable Categories N % p-Value N % p-Value N % p-Value
Any cigarette smoking in the past 12 months Yes 810 13.91 0.000 1462 19.6 0.000 2272 17.11 0.000 1.51 (1.33–1.70)
Energy drink use in the past 12 months Yes 943 10.31 0.000 1084 18.04 0.000 2027 13.38 0.000 1.91 (1.69–2.17)
Marihuana use in the past 12 months Yes 760 15.61 0.000 1039 23.23 0.000 1799 19.26 0.000 1.63 (1.43–1.87)
Cocaine use in the last 12 months Yes 194 32.75 0.000 141 44.52 0.000 336 36.86 0.000 1.65 (1.14–2.38)
Heroin use in the last 12 months Yes 49 39.34 0.000 28 57.2 0.000 76 44.37 0.000 2.06 (0.84–5.05)
Other illicit psychoactive drug use in the last 12 months Yes 300 33.08 0.000 219 41.13 0.000 519 36.06 0.000 1.41 (1.06–1.87)
Novel psychoactive substances in the last 12 months Yes 181 35.51 0.000 143 39.17 0.000 323 37.04 0.000 1.17 (0.82–1.67)
Perceived health risks for consumption of alcohol No/few problems 348 8.63 0.031 552 15.53 0.000 900 11.86 0.031 1.94 (1.62–2.33)
Quite a few/many problems 834 7.56 1618 12.11 2453 10.05 1.68 (1.50–1.89)
Perceived health risk for consumption of TSSps No/few problems 184 13.46 0.000 330 26.22 0.000 513 19.57 0.000 2.29 (1.76–2.97)
Quite a few/many
problems
852 7.15 1580 11.52 2432 9.49 1.69 (1.51–1.89)
Perceived availability of alcohol Impossible/very
difficult to obtain
29 3.38 0.000 44 5.39 0.000 73 4.36 0.000 1.63 (0.90–2.93)
Easy/very easy to obtain 1211 8.3 2235 13.59 3446 11.1 1.74 (1.58–1.91)
Perceived availability of TSSps Impossible/very
difficult to obtain
291 5.97 0.000 478 9.2 0.000 768 7.64 0.000 1.60 (1.30–1.94)
Easy/very easy
to obtain
654 15.01 1114 23.64 1769 19.49 1.75 (1.53–2.01)
Sufficiently informed about drugs Yes, perfectly 530 9.22 0.000 592 15.23 0.000 1121 11.65 0.000 1.77 (1.50–2.08)
Yes, sufficiently 505 6.9 954 12.23 1459 9.65 1.88 (1.62–2.18)
Only halfway 227 6.27 0.000 665 11.1 0.000 892 9.28 0.000 1.87 (1.53–2.28)
No, I am misinformed 71 5.58 120 8.79 191 7.24 1.63 (1.13–2.35)

TSSps: tranquilizers, sedatives, and sleeping pills.

The results of the multivariate analysis are shown in Table 4. In our sample, the female gender tended to be a predictor of TSSp&AC (OR, 2.09; 95% CI, 1.82–2.39). When the consumption pattern among female adolescents was analyzed, the variables that were independently and significantly associated with a probability of TSSp&AC were age between 16 and 18 years old (OR, 1.65; 95% CI, 1.39–1.95), smoking (OR, 1.73; 95% CI, 1.42–2.12), energy drinks (OR, 1.4; 95% CI, 1.17–1.66), marijuana (OR, 1.33; 95% CI, 1.08–1.64), cocaine (OR, 1.84; 95% CI, 1.14–2.99), other and novel psychoactive substance consumption (OR, 1.89; 95% CI, 1.33–2.68 and OR, 1.74; 95% CI, 1.08–2.79, respectively) in the previous 12 months. The absence of a perceived health risk for TSSps (OR, 2.45; 95% CI, 1.98–3.03) and the easy availability of alcohol (OR, 2.09; 95% CI, 1.24–3.52) or TSSps (OR, 2–23; 95% CI, 2–65) were also significant associated factors.

Table 4.

Results of the multivariable regression models showing those variables significantly and independently associated with self-reported data on the co-use of tranquilizers, sedatives, and sleeping pills with alcohol among male and female adolescents.

Male Female BOTH
Age 16–18 Years 1.26 (1–1.58) 1.65 (1.39–1.95) 1.49 (1.3–1.7)
Any cigarette smoking in the past 12 months Yes 1.61 (1.21–2.14) 1.73 (1.42–2.12) 1.68 (1.42–1.98)
Energy drink use in the past 12 months Yes 1.45 (1.15–1.82) 1.4 (1.17–1.66) 1.41 (1.23–1.61)
Marihuana use in the past 12 months Yes 1.67 (1.24–2.26) 1.33 (1.08–1.64) 1.44 (1.21–1.7)
Cocaine use in the last 12 months Yes 1.54 (1.03–2.3) 1.84 (1.14–2.99) 1.74 (1.27–2.37)
Other illicit
psychoactive drug use in the last 12 months
Yes 2.58 (1.86–3.58) 1.89 (1.33–2.68) 2.19 (1.72–2.8)
Novel psychoactive substances in the last 12 months Yes 1.52 (1–2.31) 1.74 (1.08–2.79) 1.56 (1.14–2.14)
Perceived health risk for consumption of TSSps No/few problems 1.52 (1.14–2.03) 2.45 (1.98–3.03) 2.05 (1.73–2.44)
Perceived availability of alcohol Easy/very easy NS 2.09 (1.24–3.52) 1.93 (1.32–2.82)
Perceived availability of TSSps Easy/very easy 2.04 (1.63–2.55) 2.23 (1.88–2.65) 2.12 (1.85–2.44)
Sex Female NA NA 2.09 (1.82–2.39)

TSSps: tranquilizers, sedatives, and sleeping pills. NS: not significant. NA: not applicable.

4. Discussion

Our results showed a 10% prevalence of TSSp&AC during the past 12 months, even with a high rate of the perceived risks of using TSSps or alcohol. Our findings also highlight the factors associated with TSSp&AC when considering female and male adolescents separately. The recognition of the associated factors and users’ main characteristics would enhance the quality of the proposed surveillance and public health strategies.

Our first major finding is that TSSp&AC is more prevalent among girls. Being female was also identified as an important associated factor in TSSp&AC, with a prevalence twice as high for this co-use compared with males. The greater prevalence of TSSp&AC among females is the same pattern observed for the adolescent consumption of TSSps only [16,26]. However, among the studies considering AC only, there is no consistent gender pattern regarding adolescent consumption [27,28]. It is also recognized that gender indicators of AC and related harms have been converging when reviewing data from samples of high school or college students worldwide [29]. A fall in the male–female ratio of any alcohol use from 2.2 to 1.1 was observed when those born in the earliest years of the 20th century are contrasted to those born at the end of the 20th century. In 5% of the studies, the sex ratio was lower than 1, meaning that females have exceeded males in their drinking levels. Most such cases came from cohorts born after 1981.

Potential contributing factors for this gender association could be related to social and epidemiological aspects. Concerning TSSps, they are indicated for affective and sleeping disorders, which are more prevalent among adolescent girls [30,31]. Moreover, the increase in AC among girls could be a generational factor, as current adolescents tend to live with a more egalitarian role model [17], which is reinforced by peers [32,33]. It can reflect the current sociopolitical context since Spanish girls interviewed by Martínez-Manrique et al. [34] associated alcohol consumption with empowerment and the conquest of traditionally masculine spaces. There could also be an influence of the increased targeting of alcohol marketing to young female consumers. Brands are reflecting and reproducing important aspects of feminine identities and women’s day-to-day lives and using spaces and examples that could reflect gender equality to promote alcohol use and encourage consumers [35,36].

Another interesting aspect is that, compared to males, adolescent female immigrants present lower TSSp&AC than native-born adolescents. This agrees with the lower prevalence of risk behaviors among immigrants or those with an immigrant background [37]. It could be partially explained by contextual factors such as lower levels of income or substance use, religion, or culture from their country of origin [37]. However, this lower consumption level among immigrants may only be confirmed for alcohol, not for benzodiazepine or other substances [22,38], and it also occurred where/when adolescents and their families were not yet socially integrated [22,37].

The factors significantly associated with self-reported TSSp&AC in both male and female adolescents were being 16–18 years old, the use of other substances, the perceived availability of TSSp and alcohol (easy/very easy to obtain), and the lack of perceived risk from TSSp use. For female adolescents, the greatest association was observed for those who did not perceive any health risk from TSSp consumption (OR 2.45), while for male adolescents, the greatest association was with other illicit psychoactive drug use in the previous 12 months (OR 2.58). Therefore, the factors associated with this low-risk perception need to be verified. As both TSSps and alcohol are legal substances, their use tends to be more socially accepted, and the underlying risks of their co-use may be underestimated.

However, TSSp&AC is also related to the use of other legal and illicit substances. Moreover, there may be short- and long-term repercussions, such as association with unsafe sex or dangerous driving, violence, and premature death; higher levels of intensive TSSp use in later life [15]; the exacerbation of the severity and development of concurrent mental disorders; and substance use disorder in adulthood [9].

The recognition of the pattern of associated factors within female and male adolescents, with a clear acknowledgment of the differences between them, would help in addressing this increasing health problem properly. Based on our findings, intervention for male adolescents should address the risks of the interaction of polysubstance use (legal and illegal). For female adolescents, emphasis on the real risks of TSSp&AC should be considered. Moreover, in relation to TSSps, patients should be informed of the risks of sharing their prescribed medications and storing them inadequately at home [38]. In addition to the distinct associated factors identified for males and females in our study, sex and gender should always be considered for interventions. For example, when the intervention is directed to the family environment, it should be considered that, for boys, the presence of family conflict is a risk factor associated with alcohol and/or cannabis consumption, while for girls, communication and the presence of consequences for breaking rules reduce the probability of being an alcohol and cannabis user [39].

There are internal and external aspects that cannot be assessed during a nationwide survey but, according to the literature, should be considered to screen potential users and delineate specific interventions. Personal traits such as anxiety sensitivity and impulsivity are specifically associated with sedative/tranquilizer misuse, while impulsivity and sensation seeking are related to alcohol consumption [40,41]. Adolescents with greater empathy and emotional clarity may be most at risk of consuming harmful substances, maybe because consumption tends to occur in the context of leisure and socialization. Conversely, greater emotional repair seems to enhance the possibility of having a healthy life without alcohol and tobacco consumption [42].

Even though an “information paradox” has been identified among adolescents in Spain, i.e., those who perceived themselves as better informed are also those with higher alcohol consumption, there is still a need to offer better-targeted prevention strategies, including participative models [32]. Delivering the information itself may not be enough for prevention. A recent study involving adolescents from Tarragona (Spain) demonstrated that increased polydrug use was associated with unmonitored sources, while greater reliance on supervised sources for information was related to reduced single-substance consumption and polydrug use [43].

According to the second edition of the International Standards on Drug Use Prevention [44], the most effective strategies to reduce alcohol use involve evidenced-based interventions such as prevention education based on social competence and influence and parenting skill programs (starting in early adolescence), and community-based multi-component initiatives. In this second edition, there was no evidence specifically demonstrated for the non-medical use of prescription drugs. However, they suggest that the emerging evidence indicating that universal, evidence-based interventions in schools, families, and communities are effective in reducing substance use might apply to the non-medical use of prescription drugs as well.

Based on Spanish adolescents’ perspectives, the interventions for the prevention of alcohol consumption could start before consumption begins at a younger age and include personalized content such as risk reduction and gender-specific training, and they should be adapted to their methods of communication [34]. A web-based computer-tailored intervention has been demonstrated to reduce heavy episodic alcohol consumption among Spanish adolescents [45].

This study has limitations. First, the survey is based on the self-report of substance consumption, and some replies may be socially conditioned. Nevertheless, even though individuals may overestimate or underestimate, surveys are extremely useful for investigating patterns, frequencies, and longitudinal trends of TSSp and alcohol consumption. Second, the study design did not enable us to establish causality owing to the lack of a longitudinal follow-up. Nevertheless, our study provides additional insights into demographic aspects, the perceived health risk of consumption, and perceived TSSp&AC in female adolescents, for whom there is little information at the population level, particularly in Spain.

Future epidemiological studies could focus on the analysis of the TSSp&AC trends over several years since consumption patterns may change over time, while future clinical studies could focus on the risks of the TSSp&AC and on the efficacy of tailored interventions designed along with adolescents to reach them using similar ways to communicate.

5. Conclusions

TSSp&AC prevalence was 10% among adolescents between 14 and 18 years old who participated in ESTUDES 2018 in Spain. There was a higher prevalence of TSSp&AC among adolescent females than among males. Females were twice as likely to report TSSp&AC as males. The identified factors associated with greater consumption among females were being 16–18 years old; the use of tobacco, cocaine, and novel illicit psychoactive drugs; the perceived availability of TSSps and alcohol; and the perceived lack of risk from the use of TSSps. Our results have clear implications for health services in Spain, which should develop joint programs focused on the prevention of TSSp&AC and monitoring TSSp and alcohol consumption in female adolescents aged 16–18 years old.

Acknowledgments

We are grateful to the Spanish National Drug Plan (Ministry of Health, Consumer Affairs and Social Welfare) for providing the survey data.

Author Contributions

Conceptualization, P.C.-G. and D.P.-C.; methodology, P.C.-G. and D.P.-C.; formal analysis, V.H.-B. and P.C.-G.; data curation, I.J.-T., S.Y. and L.L.F.; writing—original draft preparation, D.P.-C. and L.L.F.; writing—review and editing, all authors; visualization, I.J.-T., S.Y. and L.L.F.; project administration, P.C.-G.; funding acquisition, P.C.-G. and V.H.-B. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Ethical review and approval were waived for this study according to Spanish legislation because we used a public access dataset with anonymous data.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in this article.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Funding Statement

This study was funded by the Government Delegation for the National Plan on Drugs (Ministry of Health, Consumption and Social Welfare), Grant No.: 2020I056.

Footnotes

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Associated Data

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Data Availability Statement

The data presented in this study are available in this article.


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