Screening for Serious Mental Illness in the General Population

Kessler, Ronald C.; Barker, Peggy; Colpe, Lisa J.; Epstein, Joan; Gfroerer, Joseph; Hiripi, Èva; Howes, Mary J.; Normand, Sharon‐Lise T.; Manderscheid, Ronald W.; Walters, Ellen E.; Zaslavsky, Alan M.

doi:10.1001/archpsyc.60.2.184

Cited by 4,582 publications

(3,909 citation statements)

References 14 publications

Supporting

Mentioning

3,831

Contrasting

Unclassified

Order By: Relevance

“…Scores were classified into low (scores of 6–11), moderate (scores of 12–19) or high (scores of 20–30) psychological distress 26. The K6 is effective at screening for serious mental disorders 27, 28, 29 and had excellent reliability in the current study (α = 0.81). Finally, the Short Form general health status question (SF11 30), which is an accurate predictor of future health care use, mortality and morbidity 30, was employed as a general indicator of physical and mental health.…”

Section: Methodsmentioning

confidence: 53%

“…The American Association of Public Opinion Research (AAPOR) response rate 3 29 was 19.5% (21.7% landline; 17.8% mobile), the cooperation rate was 43.1% (38.0% landline; 49.7% mobile) and the refusal rate was 33.0% (42.0% landline; 24.4% mobile). An extended call cycle was employed for the landline frame, while a truncated call cycle, in which no more than four unanswered calls were made per week, was employed for the mobile frame.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey

et al. 2015

View full text Add to dashboard Cite

Background, aims and designThe increase in mobile telephone‐only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual‐frame (50% landline and 50% mobile telephone) computer‐assisted telephone interviewing methodology; (2) explore the predictors of sample frame and telephone status; and (3) explore the degree to which sample frame and telephone status moderate the relationships between respondent characteristics and problem gambling.Setting and participantsA total of 2000 adult respondents residing in Australia were interviewed from March to April 2013.MeasurementsParticipation in multiple gambling activities and Problem Gambling Severity Index (PGSI).FindingsEstimates were: gambling participation [63.9%, 95% confidence interval (CI) = 61.4–66.3], problem gambling (0.4%, 95% CI = 0.2–0.8), moderate‐risk gambling (1.9%, 95% CI = 1.3–2.6) and low‐risk gambling (3.0%, 95% CI = 2.2–4.0). Relative to the landline frame, the mobile frame was more likely to gamble on horse/greyhound races [odds ratio (OR) = 1.4], casino table games (OR = 5.0), sporting events (OR = 2.2), private games (OR = 1.9) and the internet (OR = 6.5); less likely to gamble on lotteries (OR = 0.6); and more likely to gamble on five or more activities (OR = 2.4), display problem gambling (OR = 6.4) and endorse PGSI items (OR = 2.4‐6.1). Only casino table gambling (OR = 2.9) and internet gambling (OR = 3.5) independently predicted mobile frame membership. Telephone status (landline frame versus mobile dual users and mobile‐only users) displayed similar findings. Finally, sample frame and/or telephone status moderated the relationship between gender, relationship status, health and problem gambling (OR = 2.9–7.6).ConclusionGiven expected future increases in the mobile telephone‐only population, best practice in population gambling research should use dual frame sampling methodologies (at least 50% landline and 50% mobile telephone) for telephone interviewing.

show abstract

Section: Methodsmentioning

confidence: 53%

Section: Methodsmentioning

confidence: 99%

National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey

et al. 2015

View full text Add to dashboard Cite

show abstract

“…This category was further dichotomized as high/middle (responses in the range 1–4) and low (responses in the range 5–6) [30,38]. Psychological distress was assessed using the six-item Kessler scale [39]. Each question (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…The Cronbach α was .879, meaning that the scale showed good internal consistency. Following previous research, the summed score was dichotomized into two categories, indicating low (0–12 points) and high (>13) psychological distress [39]. …”

Section: Methodsmentioning

confidence: 99%

How different contexts of social capital are associated with self-rated health among Lithuanian high-school students

Novak

Emeljanovas

Miežienė

et al. 2018

Global Health Action

View full text Add to dashboard Cite

Background. Adolescents’ self-rated health is related to a number of sociodemographic and socio-economic factors, health-related behaviors, and their social environment. The impact of the latter is still not well explored. An adolescent’s social environment is represented by the social capital, i.e. social resources that they can access. The relationships between various contexts of social capital (family, neighborhood, peers, and school) and self-rated health among adolescents are still unclear. Objective. This study aims to examine the relationships between various social capital contexts and self-rated health in Lithuanian adolescents. Methods. The current cross-sectional study includes a nationally representative sample of 1863 adolescents (51.4% were girls) aged 14–18 years. The indicators of self-rated health as well as indicators of social capital in family, neighborhood, and school contexts were assessed. The results of the relationships between self-rated health and contexts of social capital were calculated controlling for the following covariates: physical activity, psychological distress, gender, body mass index, and family socioeconomic status. Results. Results indicate that there are significant relationships between good self-rated health and a higher level of family support, neighborhood trust, and vertical school trust. In the final logistic regression model, while controlling for all covariates, a higher level of family support and neighborhood trust remain significant predictors of good self-rated health. Conclusions. Family support and neighborhood trust are important correlates of self-rated health in adolescents.

show abstract

“…2.4.1 Mental health-General mental health was measured using a validated scale (Kessler et al, 2003) composed of the following six self-reported symptoms: feeling nervous, feeling hopeless, feeling restless or fidgety, feeling so sad or depressed that nothing could cheer you up, feeling everything was an effort, and feeling no good or worthless. Respondents were asked to rate the severity (0-4) of these symptoms during the one month of the past year when they were at their worst emotionally.…”

Section: Study Variablesmentioning

confidence: 99%

Non-medical use, abuse and dependence on sedatives and tranquilizers among U.S. adults: Psychiatric and socio-demographic correlates

Becker

Fiellin

Desai

2007

Drug and Alcohol Dependence

View full text Add to dashboard Cite

Background-Non-medical use of sedatives and tranquilizers carries risks including development of abuse/dependence. Such use may correlate with psychiatric symptoms.Methods-Cross-sectional survey, the 2002-2004 National Survey on Drug Use and Health. Respondents 18 years and older (n=92,020). Bivariate and multivariable associations were investigated.Results-The prevalence of past-year non-medical use of sedatives or tranquilizers was 2.3%. Of those with non-medical use, 9.8% met criteria for abuse/dependence. On multivariable analysis, panic symptoms and elevated serious mental illness scores were associated with pastyear non-medical use. Also, the following past-year socio-demographic and substance use covariates were associated with past-year non-medical sedative or tranquilizer use: female sex, white/Hispanic/other ethnicity, criminal arrest, uninsurance, unemployment, alcohol abuse or dependence, cigarette use, illicit drug use, younger age of initiating illicit substance use, and any history of IV drug use. Among those with sedative or tranquilizer use, those with abuse/ dependence were more likely to have agoraphobic symptoms. In addition, they were more likely to be older, unmarried, have a low education level and have been arrested.Conclusions-Non-medical use of sedatives and tranquilizers is common. Furthermore, nearly 10% of those with non-medical use meet criteria for abuse/dependence. Anxiety symptoms associated with non-medical use (panic symptoms) and abuse/dependence (agoraphobia) should alert clinicians to screen for these problems and consider alternate treatment or referral.

show abstract

Screening for Serious Mental Illness in the General Population

Abstract: The brevity and accuracy of the K6 and K10 scales make them attractive screens for SMI. Routine inclusion of either scale in clinical studies would create an important, and heretofore missing, crosswalk between community and clinical epidemiology.

Cited by 4,582 publications

References 14 publications

National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey

National estimates of Australian gambling prevalence: f indings from a dual‐frame omnibus survey

How different contexts of social capital are associated with self-rated health among Lithuanian high-school students

Non-medical use, abuse and dependence on sedatives and tranquilizers among U.S. adults: Psychiatric and socio-demographic correlates

Contact Info

Product

Resources

About