Estimating the prevalence of any impairing childhood mental disorder in the national health interview survey

Ringeisen, Heather; Aldworth, Jeremy; Colpe, Lisa J.; Pringle, Beverly; Simile, Catherine

doi:10.1002/mpr.1471

Cited by 13 publications

(7 citation statements)

References 16 publications

(21 reference statements)

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“…The SDQ measures have been shown to predict impairing mental health problems in children and adolescents, although the five‐item SDQ does not predict mental health problems as accurately as the original 25‐item scale, and SDQ measure has greater reliability for adolescents than for children (Ringeisen, Aldworth, Colpe, Pringle, & Simile, ). We also demonstrate the usefulness of the NHIS's mental health measures by comparing them with data on mental health treatment and medication use that are available in the 2005–2007 NHIS.…”

Section: Methodsmentioning

confidence: 99%

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey

2019

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Research linking economic conditions and health often does not consider children's mental health problems, which are the most common and consequential health issues for children and adolescents. We examine the effects of unemployment rates and housing prices on well‐validated child and adolescent mental health outcomes and use of special education services for emotional problems in the 2001–2013 National Health Interview Survey. We find that the effects of economic conditions on children's mental health are clinically and economically meaningful; children's mental health outcomes worsen as the economy weakens. The effects of economic conditions on child and adolescent mental health are pervasive, found in almost every subgroup that we examine. The use of special education services for emotional problems also rises when economic conditions worsen. Our analyses of possible mechanisms that link economic conditions to child mental health suggest that parental unemployment cannot fully explain the relationship between economic conditions and child mental health.

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Section: Methodsmentioning

confidence: 99%

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey

2019

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“…Based on the recommendations of Ringeisen, Aldworth, Colpe, Pringle, and Simile (), a summary SDQ measure was created by summing items comprising the SDQ score and the impact item. This summary SDQ variable was utilized as the outcome variable in analyses as validation research has demonstrated that the SDQ score and impact item in tandem have further enhanced predictability of child's mental health status than when either measure is used alone (Ringeisen et al., ). Scores on the summary SDQ measure ranged from 0 to 13 (Cronbach's α = .67).…”

Section: Methodsmentioning

confidence: 99%

Parental Sexual Orientation and Children's Psychological Well‐Being: 2013–2015 National Health Interview Survey

et al. 2017

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Debate persists about whether parental sexual orientation affects children's well-being. This study utilized information from the 2013 to 2015 U.S., population-based National Health Interview Survey to examine associations between parental sexual orientation and children's well-being. Parents reported their children's (aged 4-17 years old, N = 21,103) emotional and mental health difficulties using the short form Strengths and Difficulties Questionnaire (SDQ). Children of bisexual parents had higher SDQ scores than children of heterosexual parents. Adjusting for parental psychological distress (a minority stress indicator) eliminated this difference. Children of lesbian and gay parents did not differ from children of heterosexual parents in emotional and mental health difficulties, yet, the results among children of bisexual parents warrant more research examining the impact of minority stress on families.

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“…In binary response logistic regression, the slope parameters are the “estimands” of interest (e.g. Jacobi et al ., ; Ringeisen et al ., ), but there are four parameters of interest when Hill equation models are fit to observed data. These four parameters can be used to link an explanatory variable of interest with probability of a binary response.…”

Section: Introductionmentioning

confidence: 99%

Estimated probability of becoming a case of drug dependence in relation to duration of drug-taking experience: a functional analysis approach

Vsevolozhskaya

Anthony

2016

Int J Methods Psychiatr Res

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Measured as elapsed time from first use to dependence syndrome onset, the estimated ‘induction interval’ for cocaine is thought to be short relative to the cannabis interval, but little is known about risk of becoming dependent during first months after onset of use. Virtually all published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new month-wise data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the United States National Surveys on Drug Use and Health, 2004–2013. Standardized modules assessed first and most recent use, and dependence syndromes, for each drug subtype. A four-parameter Hill function depicts the drug dependence transition for subgroups defined by units of elapsed time from first to most recent use, with an expectation of greater cocaine dependence transitions for cocaine versus cannabis. This study’s novel estimates for cocaine users one month after first use show 2%–4% with cocaine dependence; 12%–17% are dependent when use has persisted. Corresponding cannabis estimates are 0%–1% after 1 month, but 10%–23% when use persists. Duration or persistence of cannabis smoking beyond an initial interval of a few months of use seems to be a signal of noteworthy risk for, or co-occurrence of, rapid-onset cannabis dependence, not too distant from cocaine estimates, when we sort newly incident users into subgroups defined by elapsed time from first to most recent use.

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Estimating the prevalence of any impairing childhood mental disorder in the national health interview survey

Cited by 13 publications

References 16 publications

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey

Parental Sexual Orientation and Children's Psychological Well‐Being: 2013–2015 National Health Interview Survey

Estimated probability of becoming a case of drug dependence in relation to duration of drug-taking experience: a functional analysis approach

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