An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use

2017 ◽  
Vol 27 (10) ◽  
pp. 3062-3076 ◽  
Author(s):  
Kazem Khalagi ◽  
Mohammad Ali Mansournia ◽  
Seyed-Abbas Motevalian ◽  
Keramat Nourijelyani ◽  
Afarin Rahimi-Movaghar ◽  
...  

Purpose The prevalence estimates of binary variables in sample surveys are often subject to two systematic errors: measurement error and nonresponse bias. A multiple-bias analysis is essential to adjust for both biases. Methods In this paper, we linked the latent class log-linear and proxy pattern-mixture models to adjust jointly for measurement errors and nonresponse bias with missing not at random mechanism. These methods were employed to estimate the prevalence of any illicit drug use based on Iranian Mental Health Survey data. Results After jointly adjusting for measurement errors and nonresponse bias in this data, the prevalence (95% confidence interval) estimate of any illicit drug use changed from 3.41 (3.00, 3.81)% to 27.03 (9.02, 38.76)%, 27.42 (9.04, 38.91)%, and 27.18 (9.03, 38.82)% under “missing at random,” “missing not at random,” and an intermediate mode, respectively. Conclusions Under certain assumptions, a combination of the latent class log-linear and binary-outcome proxy pattern-mixture models can be used to jointly adjust for both measurement errors and nonresponse bias in the prevalence estimation of binary variables in surveys.

Addiction ◽  
2016 ◽  
Vol 111 (10) ◽  
pp. 1836-1847 ◽  
Author(s):  
Masoumeh Amin-Esmaeili ◽  
Afarin Rahimi-Movaghar ◽  
Vandad Sharifi ◽  
Ahmad Hajebi ◽  
Reza Radgoodarzi ◽  
...  

2016 ◽  
Vol 38 ◽  
pp. e2016013
Author(s):  
Kazem Khalagi ◽  
Mohammad Ali Mansournia ◽  
Afarin Rahimi-Movaghar ◽  
Keramat Nourijelyani ◽  
Masoumeh Amin-Esmaeili ◽  
...  

Addiction ◽  
2020 ◽  
Author(s):  
Genevieve F. Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael T. Lynskey ◽  
Wendy S. Slutske

2020 ◽  
pp. jech-2019-213282
Author(s):  
James White ◽  
Steven Bell ◽  
G David Batty

BackgroundIllicit drug use in adolescence has been linked to drug use and poor mental health in adult life, but few studies have examined the relation between adult economic and criminal justice outcomes.MethodsWe analysed data from 14 082 participants (6999 women) in the 1970 British Birth Cohort Study. Illicit drug use over study members’ lifetime and in the past year were self-reported at 16 years of age. Thirteen outcomes were self-reported at 30 years of age, including illicit drug use, smoking, problems with alcohol, mental and physical health, experience of socioeconomic disadvantage and experiences with the criminal justice system.ResultsAt 16 years of age, 20.3% of the participants had ever tried an illicit drug and 7.2% had used in the past year. After adjustment for childhood socioeconomic status and mental health problems, and following correction for multiple testing, there was a dose–response association between illicit drug use at 16 years with illicit drug use in adult life in the past year (OR; 95% CI – 1.83, 1.51 to 3.12), experiencing homelessness (1.74, 1.16 to 2.62), being arrested (1.57, 1.29 to 1.92) and cautioned (1.97, 1.50 to 2.57) by the police, and being found guilty at court (1.73, 1.34 to 2.23).ConclusionsAdolescent drug use was associated with an array of social and criminal outcomes in later life.


2021 ◽  
pp. 1-11
Author(s):  
Zsolt Horváth ◽  
Orsolya Király ◽  
Zsolt Demetrovics ◽  
Ágnes Németh ◽  
Dóra Várnai ◽  
...  

<b><i>Introduction:</i></b> The link between gaming disorder (GD) and substance use amongst adolescents is not clear. Some studies reported positive associations, whereas others suggested that alcohol and illicit drug use are not related to GD severity. <b><i>Objectives:</i></b> The present study aimed to identify empirically based latent classes of alcohol and illicit drug use amongst adolescents and explore their associations with GD symptom severity and whether endorsement of specific criteria of GD is linked to the membership of latent classes of alcohol and illicit drug use. <b><i>Methods:</i></b> Data of the national sample of Hungarian adolescents from the Health Behaviour in School-aged Children survey (<i>N</i> = 2,768; females: 52.08%; mean age: 16.73 years) were analysed. Measures for frequency of alcohol and illicit drug use, gaming, GD symptom severity, and life satisfaction were included in the analyses. <b><i>Results:</i></b> Latent class analysis discriminated 4 subgroups of alcohol and illicit drug use: polysubstance users, high-risk alcohol users, moderate alcohol users, and infrequent substance users. Polysubstance users presented significantly higher levels of GD symptom severity and higher odds for endorsement of criteria of “giving up other activities” and “negative consequences.” <b><i>Conclusions:</i></b> Positive associations were shown between higher GD severity and the polysubstance using class. The roles of criteria of “giving up other activities” and “negative consequences” were highlighted in more severe substance use patterns. However, GD severity and criteria did not differ as a function of the level of alcohol use. These findings may imply common roots of GD and illicit drug use in adolescents.


2010 ◽  
Vol 16 (5) ◽  
pp. 369-379 ◽  
Author(s):  
Abu Abraham ◽  
Jason Luty

SummaryTesting for illicit drug use is used in pre-employment checks, the criminal justice system, sports medicine and for screening and confirmatory purposes in patients with physical and mental illnesses. The types of drugs tested for and the methods used vary depending on the indication. This article focuses primarily on blood, urine and oral fluids, which are specimens more commonly used in mental health settings, although hair and sweat are increasingly used in medico-legal cases and in child protection issues. The main drugs and their metabolism are discussed to gain a better understanding of the methods used and for accurate interpretation. Methods to ensure validity during sample collection are explored. False-positive and false-negative tests are common and possible confounders are discussed.


2017 ◽  
Vol 6 (2) ◽  
pp. 172 ◽  
Author(s):  
Olubusayo Akinola ◽  
Wen-Hung Kuo ◽  
John Oswald ◽  
Olawunmi Obisesan

This study sought to assess the attitudes of Mental Health Professionals (MHPs) towards tackling illicit drug use and drug-related disorders in Nigeria and to explore regional variations in attitude. Based on the validated Substance Abuse Attitude Survey (SAAS), a quantitative cross-sectional survey was conducted in a randomized sample of 292 MHPs practicing in neuropsychiatric hospitals and mental health departments of teaching hospitals from four geopolitical zones of Nigeria. A response rate of 81.1% was achieved. MHPs tended towards non-permissive, moralistic and stereotypic spectrum and exhibited distinctly defined attitude towards their professional role. The Kruskal-Wallis analysis established significant regional variation in the attitude of multidisciplinary MHPs, <em>H </em>(3)=18.727, <em>p</em>&lt; .0001 reflecting a stochastic domination across the region; therefore a step-down follow-up analysis was conducted. This analysis revealed that the distribution of attitude total-score varies significantly between the South-south and the Southwestern region (<em>p</em>&lt; .0001), the northeastern and southwestern region of the country (<em>p</em>&lt; .028).  A holistic approach towards standardization of drug treatment and care that takes into consideration possible regional variation in attitudes of MHPs should be implemented to foster the reintegration and rehabilitation of drug-using populations into the mainstream society.


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