Modeling Sources of Self-report Bias in a Survey of Drug Use Epidemiology

Johnson, Timothy P.; Fendrich, Michael

doi:10.1016/j.annepidem.2004.09.004

Cited by 201 publications

(134 citation statements)

References 26 publications

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“…First, we relied on self-report data; thus the prevalence rates are subject to biases such as problems recalling drug use and social desirability of responses (Johnson, 2005). However, the ASSIST has been found to be reliable and acceptable for screening use internationally (WHO ASSIST Working Group, 2002), and to have validity similar to other established self-report instruments (Newcombe, Humeniuk, and Ali, 2005).…”

Section: Study's Limitationsmentioning

confidence: 99%

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Ward

Mertens

Flisher

et al. 2008

Substance Use & Misuse

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We aimed to assess prevalence and correlates of hazardous use of tobacco, alcohol and other drugs in a primary care population in Cape Town, South Africa. Stratified random sampling was used to select 14 of the 49 clinics in the public health sector in Cape Town, and every "nth" patient, with those ages 18-25 oversampled (N = 2,618). Data were collected from December 2003 through 2004, using the World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test. Hazardous use of tobacco was most common, followed by alcohol and then other drugs. Hazardous tobacco use was associated with the 18-25 years age group, no religious involvement, high school completion, and higher stress. Hazardous alcohol use was associated with male gender, younger men, no religious involvement, employment, some high school education, and higher stress. Hazardous use of other drugs was associated with Colored (mixed) race (particularly among men), no religious involvement, employment, and stress. For all substances, women, particularly Black women, had the lowest rates of hazardous use. Although the study is cross-sectional, it does identify groups that may be at high risk of substance misuse and for whom intervention is urgent. Because prevalence of substance use is high in this population, routine screening should be introduced in primary care clinics. (Parry, 2005;Sitas et al., 2004). Cannabis and methaqualone are the most frequently identified illicit drugs in drugrelated arrests, psychiatric diagnoses, and trauma patients (Parry et al., 2002), but treatment demand for cocaine, heroin, and methamphetamine use is increasing Parry, Myers, and Plüddemann, 2004).Primary health care services provide an advantageous location for intervening in substance use (Whitlock, Polen, Green, Orleans, and Klein, 2004;Fleming et al., 2002). In South Africa, the public health sector is the main provider of primary care (Health Systems Trust, 2004), yet no data are available on prevalence of substance misuse among South African patients.Risk factors are those associated with increased likelihood of negative health behaviors or outcomes, whereas protective factors are those that are associated with increased likelihood of positive health behaviors or outcomes, or with decreased likelihood of negative health behaviors or outcomes (Kirby, 2001). Although the association with disease occurrence may not be causal, such correlates are useful for identifying high-risk groups or factors that may be usefully targeted in intervention strategies. Risk and protective factors influencing substance use have not been much studied in the developing world (De Lima, Dunn, Novo, Tomasi, and Reisser, 2003).Personal characteristics identified as risk factors may include age, race, and gender. In South Africa, the racial categories defined under apartheid-Black, Colored (mixed race), Indian, and White-have a long association in South Africa with access both to alcohol and to treatment (Mager, 2004). Different race groups may demonstrate differen...

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Section: Study's Limitationsmentioning

confidence: 99%

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Ward

Mertens

Flisher

et al. 2008

Substance Use & Misuse

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“…Moreover, in population surveys such as the GYTS, self-reported data are typically used to monitor population trends in cigarette smoking, and are subject to reporting biases. 20, 21 Objective assessment of smoking status for current smokers exists, with urinary cotinine suggesting generally higher prevalence than self-report, 22 but with the extent of the difference varying by country. 23 Nevertheless, for much of the world, with limited absolute resources to monitor a range of disease risk factors and outcomes, tobacco use self-report -even if conservatively underestimating-represents a pragmatic data collection option for monitoring through time.…”

Section: Data Limitationsmentioning

confidence: 99%

Monitoring Caribbean tobacco use: baseline adolescent smoking prevalence and regional disparities

Hambleton¹,

Jeyaseelan²,

Howitt³

et al. 2017

Salud Publica Mex

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Objective. To provide baseline information on tobacco use among adolescents in the Caribbean for the period before country-level implementation of the Framework Convention on Tobacco Control (WHO-FCTC). Materials and methods. Using Global Youth Tobacco Surveys (GYTS) between 2000 and 2008, we report baseline prevalence, 5-year change, and disparities in tobacco use (ever smoked, currently smoke) among adolescents. Results. The Caribbean prevalence of ever-smoked fell from 33.3 to 29.0% with nine of 14 countries reporting a 5-year decrease, and the prevalence of current smokers fell from 12.1 to 11.7% with eight of 14 countries reporting a 5-year decrease. Between-country disparities in the prevalence of ever smoked decreased, while between-country disparities in currently smoked saw little change. Conclusions. This regional summary of tobacco use provides baseline estimates of adolescent smoking, and cross-country smoking disparities for the period before MPOWER implementation. Subsequent GYTS survey rounds can be used to monitor program success.Keywords: prevalence; smoking; adolescent; health status disparities; socioeconomic factors ResumenObjetivo. Proveer un punto base de referencia sobre el uso de tabaco entre adolescentes de los países del Caribe antes de la implementación a nivel nacional del Convenio Marco para el Control de Tabaco (CMCT OMS). Material y métodos. Mediante la utilización de datos procedentes de la Encuesta Mundial de Tabaquismo en Jóvenes (EMTJ), obtenidos entre los años 2000 y 2008, se presenta la prevalencia del consumo de tabaco, el cambio obtenido en cinco años y las disparidades sobre el uso del tabaco entre los adolescentes (probaron el tabaco, fumadores actuales). Resultados. En el Caribe, la prevalencia de personas que han fumado en algún momento disminuyó de 33.3 a 29.0% y en nueve de 14 países se reportó un descenso en los últimos cinco años. Por otro lado, hubo un descenso en la prevalencia de fumadores actuales de 12.1 a 11.7% y en ocho de 14 países reportaron una disminución del consumo actual de tabaco fumado en los últimos cinco años. Las diferencias entre países en la prevalencia de los adolescentes que probaron tabaco en algún momento disminuyeron, sin embargo, hubo pocos cambios en la prevalencia de fumadores actuales. Conclusión. Este resumen regional sobre el consumo de tabaco proporciona unas estimaciones de referencia sobre el consumo de tabaco en adolescentes, así como sobre las diferencias entre los diferentes países en el periodo de tiempo anterior a la implementación del MPOWER. La implementación de nuevas rondas de la EMTJ se podrá utilizar para monitorear el éxito de la aplicación del paquete MPOWER.Palabras clave: prevalencia; consumo de tabaco; adolescentes; disparidades en el estado de salud; factores socioeconómicos

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“…Socially desirability is the tendency for people to present themselves in a favourable way (Johnson & Fendrick, 2005) and involves people inaccurately attributing positive qualities to oneself (self-deception) or inaccurately denying that one has undesirable qualities to others (other-deception or impression management) (Paulhus, 1984(Paulhus, , 1998. People scoring high on measures of social desirability tend to overrate their positive qualities and underrate their negative qualities.…”

Section: Introductionmentioning

confidence: 99%

The Self- and Other-Deception Questionnaires-Intellectual Disabilities (SDQ-ID and ODQ-ID): Component analysis and reliability

Jobson¹,

Stanbury²,

Langdon³

2013

Research in Developmental Disabilities

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The objectives of this research were to, 1) investigate the component structure and psychometric properties of the Self-and Other-Deception Questionnaires-Intellectual Disabilities (SDQ-ID and ODQ-ID), 2) to examine the relationship between social desirability and IQ, and 3) to compare social desirability scores of those with intellectual disabilities (IDs) and a history of criminal offending to the social desirability scores of participants with IDs and those without IDs and no such history, controlling for general intellectual functioning.Men with mild to borderline IDs detained within medium secure inpatient forensic mental health services (N = 40) completed the SDQ-ID and ODQ-ID at Time 1 and then two-weeks later at Time 2. Data for the men with and without IDs and no known criminal offending history were taken from a previous study (N = 60). Following exploratory PrincipalComponents Analysis, the number of questionnaire items were reduced, and a two-factor structure was found for the SDQ-ID which was labelled, 1) Positive Self Representation, and 2) Denial of Intrusive Thoughts. A two-factor structure was also found for the ODQ-ID and these two factors were labelled, 1) Denial of Negative Social Interaction, and 2) Untrustworthiness. Both the SDQ-ID and ODQ-ID had acceptable internal consistency and test-retest reliability. Fifteen percent of the variance in SDQ-ID scores was explained by Full Scale IQ, while 21% of the variance in ODQ-ID scores was explained by Full Scale IQ.Between group comparisons controlling for intelligence did not yield any significant differences. The shortened SDQ-ID and ODQ-ID have promising psychometric properties, and their component structures appear robust. Differences between men with and without IDs on these two measures of social desirability can be accounted for by differences in general intellectual functioning. 3The Self-and Other-Deception Questionnaires-Intellectual Disabilities (SDQ-ID and ODQ-ID): Component Structure and Reliability

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Modeling Sources of Self-report Bias in a Survey of Drug Use Epidemiology

Cited by 201 publications

References 26 publications

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Monitoring Caribbean tobacco use: baseline adolescent smoking prevalence and regional disparities

The Self- and Other-Deception Questionnaires-Intellectual Disabilities (SDQ-ID and ODQ-ID): Component analysis and reliability

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