Illegal Drug Use Is Associated With Poorer Life Satisfaction And Self-rated Health (Srh) In Young People
Illegal drugs can bring negative health and psychological health consequences to people who use them. However, much less is known about illegal drug use and its association with life satisfaction and self-rated health (SRH) in young people in the context of the United Kingdom, which is important because SRH and life satisfaction are associated with important outcomes including morbidity and mortality. By analyzing data from a nationally representative sample with 2,173 people who do not use drugs and 506 people who use illegal drugs aged between 16 and 22 (mean = 18.73 ± 1.61) years old from Understanding Society: the UK Household Longitudinal Study (UKHLS) using a train-and-test approach and one-sample t-tests, the current study found that illegal drug use is negatively associated with life satisfaction (t(505) = −5.95, p < 0.001, 95% CI [−0.58, −0.21], Cohen’s d = −0.26) but not with SRH. Intervention programs and campaigns should be developed to prevent people from using illegal drugs, which may then avoid the negative consequence of poor life satisfaction associated with illegal drug use.
Introduction
Illegal drug use is one of the main contributors to the global burden of disease (1) that has adverse health and psychological consequences (2). The overall prevalence of illegal drug use in 2018–2019 ranges from 5.9 to 12% in the United Kingdom. However, this number was particularly high for young people, which ranges from 21 to 28% (3). Moreover, according to Allen and Laborde (2), “Illicit drug use and dependence are associated with an increased risk of mental disorders, road-traffic accidents, fatal overdoses, infections from unsafe injection practices (e.g., contraction of HIV), suicide and violence (1, 4), and illicit drug dependence accounted for 20 million (95% UI: 15.3, 25.4 million) disability-adjusted life years (DALYs) worldwide in 2010 (4).” Given the negative consequences associated with illegal drug use, there has been progress in trying to identify factors that relate to illegal drug use (2), including individual, interpersonal, community, and policy factors as pointed out by the social-ecological model. For instance, poor mental health, peer pressure, deprived family environment are factors of illegal drug use (5), which are also related to life satisfaction and SRH.
Self-rated health (SHR) refers to the subjective evaluation of one’s overall health whereas life satisfaction refers to how a person likes his or her life (6). It has been suggested that drug use is negatively related to life satisfaction (7). For instance, Zullig et al. (7) found that drug use is negatively related to SRH in American high school students. Boyas et al. (8) found that drug use is negatively related to SRH between Latino and non-Hispanic white adolescents aged between 12–17 in the United States. Moschion and Powdthavee (9) found that cannabis use is negatively associated with life satisfaction and the decrease in life satisfaction following the use of drugs persists 6 months to a year after initial use in homeless or at risk of being homeless participants in Australia. Illegal drug use may relate to life satisfaction and SRH through pathways such as poor physical and mental health (5), deprived socioeconomic status (10), and social stigma (11).
Thus, although there are some studies about how drug use is related to SHR and life satisfaction in young and middle adolescence [aged below 17; e.g., (7, 8)] and adults [e.g., (12)], much less is known about how drug use is associated with life satisfaction in young people in late adolescence and emerging adulthood, particularly in the United Kingdom. In late adolescence and emerging adulthood, individuals have to achieve autonomy from their guardians and will experience shifts in social roles and some normative expectations for their own behaviors. In this period of time, young people explore various aspects of their life including education, work, leisure interests, romance, and worldviews. The lifestyle factors associated with this period appear conducive to facilitating the development of addictions such as drugs [see (13) and (14) for reviews]. Moreover, newly found autonomy can lead to various mental health problems such as stress, anxiety, and depression, which in turn contribute to illegal drug use (15).
Thus, the aim of the current study is to investigate how illegal drug use is related to life satisfaction and SRH in young adults in the United Kingdom while controlling for demographics and other substance use behavior. The current study hypothesizes that drug use is negatively related to both life satisfaction and SRH.
Materials and methods
Data
Data were used from Understanding Society: the UK Household Longitudinal Study (UKHLS). This data has been shown to be nationally representative when compared with data from population censuses. Members from households recruited at the first round of data collection were interviewed face-to-face by trained interviewers or through a self-completion online survey. The current study used data in Wave 7, which was collected between 2017 and 2018 (16). All data collections have been approved by the University of Essex Ethics Committee. Participants received informed consent before participating. This dataset is quite representative as shown by comparing it with population censuses (17). The question that asks about illegal drug use was only administrated to people aged between 15 and 22 and participants with any missing variables of interest were removed. Thus, there were 506 participants who indicated that they have used illegal drugs in the past year with a mean age of 18.73 ± 1.61 years old and 262 (51.78%) males left after removing missing variables and 2,173 participants who indicated that they never used illegal drugs during the past year with a mean age of 18.37 ± 1.71 years old and 928 (42.71%) males. Descriptive statistics can be found in Table 1.

Table 1. Descriptive statistics of demographic characteristics, other substance use, life satisfaction, and SRH in non-illegal drug use and illegal drug use.
Measures
Illegal drug use
Illegal drug use was measured by the question “Since 1/[interview month] / [interview year–1], how many times have you used or taken any illegal drugs?” “[interview month]” represents the actual month that participants completed the questionnaires, which varied across individuals. “[interview year–1]” represents the actual month that participants completed the questionnaires minus 1 year. Together, these dates can effectively ask whether participants have taken illegal drugs the previous year despite they may complete these questionnaires at different time points. Participants who indicated that they have never used illegal drugs in that given year were considered as people who do not use illegal drugs whereas participants who have used illegal drugs during the past year were classified as people who use illegal drugs.
Life satisfaction
Life satisfaction was measured using the question “How dissatisfied or satisfied are you with… your life overall?” using a seven-point scale ranging from 1 (not satisfied at all) to 7 (completely satisfied). The scores of this measurement were treated as continuous. The results of single-item measures and multi-item measures such as the Satisfaction with Life Scale (SWLS) have been shown to be very similar (18).
SHR
Self-rated health was measured by the question “In general, would you say your health is…” using a five-point scale ranging from 1 (excellent) to 5 (very poor). SRH scores were reverse coded, so now one means very poor and five means excellent. The scores of this measurement were treated as continuous. The reliability of this single measurement of subjective health is good (19).
Control variables
Control variables include age, sex, monthly income, highest educational qualification, whether or not participants live in the urban area, and whether or not participants have drunk alcohol in the past year, whether or not participants consider themselves as smokers, and whether or not participants have smoked e-cigarettes.
Analysis
A train-and-test approach was used to analyze current data. First, participants were grouped into two groups based on whether they used illegal drugs. Second, two generalized linear models were applied to people who did not use illegal drugs during the past year by taking control variables as predictors and life satisfaction and SRH as the predicted variable, respectively, with “fitlm()” function in MATLAB 2018a. Visually inspecting the residual plots of these models led to the conclusion that residuals are normally distributed, thus linear models are suitable in this case. Third, these models were used to predict scores that are expected if people who used illegal drugs were people who did not use illegal drugs in the past year by taking their control variables including age, sex, monthly income, highest educational qualification, whether or not participants live in the urban area, whether or not participants have drunk alcohol in the past year, whether or not participants consider themselves as smokers, and whether or not participants have smoked e-cigarettes as predictors. Finally, two one-sample t-tests were applied to see if there are significant differences between the scores that were expected to see if they did not use illegal drugs the past year and their actual life satisfaction and SRH scores. All analyses were conducted on a customized script on MATLAB 2018a.
Results
Descriptive statistics can be found in Table 1. The overall prevalence of illegal drug use was 18.89%. Young people who used illegal drugs during the past year received less college-level education, tended to live in a rural area, were more likely to consume alcohol during the past year, and were more likely to be a smoker and have used e-cigarettes than people who did not use illegal drugs during the past year.
The current study found that there is a main effect of age [F(1,2164) = 5.09, p < 0.05], sex [F(1,2164) = 6.10, p < 0.05], and smoking status [F(1,2164) = 5.05, p < 0.05] on life satisfaction among people who did not use illegal drugs in the past year. However, the main effect of monthly income, highest educational qualification, residence, drinking status, and vaping status was not significant.
Moreover, there was a main effect of sex [F(1,2164) = 40.66, p < 0.001], residence [F(1,2164) = 11.05, p < 0.001], smoking status [F(1,2164) = 19.80, p < 0.001], and vaping status [F(1, 2164) = 8.86, p < 0.01] on SRH among people who did not use illegal drugs the past year. However, the main effect of age, monthly income, highest educational qualification, and drinking status on SRH was not significant. The parameter estimates of these general linear models can be found in Table 2.

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