Dataset Information

Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood.

ABSTRACT: Increasing evidence indicates that, in addition to poverty, maternal depression, and other well-established factors, unpredictability of maternal and environmental signals early in life influences trajectories of brain development, determining risk for subsequent mental illness. However, whereas most risk factors for later vulnerability to mental illness are readily measured using existing, clinically available tools, there are no similar measures for assessing early-life unpredictability. Here we validate the Questionnaire of Unpredictability in Childhood (QUIC) and examine its associations with mental health in the context of other indicators of childhood adversity (e.g., traumatic life events, socioeconomic status, and parenting quality). The QUIC was initially validated through administration to a cohort of adult females (N = 116) and then further refined in two additional independent cohorts (male Veterans, N = 95, and male and female adolescents, N = 175). The QUIC demonstrated excellent internal (α = 0.89) and test-retest reliability (r = 92). Scores on the QUIC were positively correlated with other prospective indicators of exposures to unpredictable maternal inputs in infancy and childhood (unpredictable maternal mood and sensory signals), and accuracy of recall also was confirmed with prospective data. Importantly, the QUIC predicted symptoms of anxiety, depression, and anhedonia in the three study cohorts, and these effects persisted after adjusting for other previously established risk factors. The QUIC, a reliable and valid self-report assessment of exposure to unpredictability in the social, emotional, and physical domains during early life, is a brief, comprehensive, and promising instrument for predicting risk for mental illness.

SUBMITTER: Glynn LM

PROVIDER: S-EPMC6461958 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood.

Glynn Laura M LM Stern Hal S HS Howland Mariann A MA Risbrough Victoria B VB Baker Dewleen G DG Nievergelt Caroline M CM Baram Tallie Z TZ Davis Elysia P EP

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 20181123 5

Increasing evidence indicates that, in addition to poverty, maternal depression, and other well-established factors, unpredictability of maternal and environmental signals early in life influences trajectories of brain development, determining risk for subsequent mental illness. However, whereas most risk factors for later vulnerability to mental illness are readily measured using existing, clinically available tools, there are no similar measures for assessing early-life unpredictability. Here ...[more]

PMID: 30470840

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Project description:Children of parents with a mental illness are a particularly vulnerable group as they have a high risk to develop a mental disorder themselves and those are associated with high stigma. Moreover, just like primary recipients of stigma, they are affected by the social taboo surrounding mental illness: they do not receive enough information, are often left alone with their problems, and are thus considered "invisible children". In previous research, family stigma has only been assessed through general questionnaires for all family members. What has not yet been adequately investigated is how stigma difficulties affect the children of parents with mental illness in particular. To address these limitations, we developed the Children of Parents with Mental Illness-Stigma-Questionnaire (COPMI-SQ), a self-report instrument for young people aged 12-19 years, designed to assess young people's stigma experiences in daily life. Based on a systematic review preceding the questionnaire, we identified relevant stigma dimensions for children of parents with a mental illness that resulted in 93 items that according to theory were assumed to load on four different scales: experienced stigma, anticipated stigma, self-stigma, and structural discrimination. An expert discussion, and a comprehensibility analysis with the target group followed. In this paper, we report on the development process and initial pilot data (N = 32) on the psychometric properties of the COPMI-SQ. Item analyses via an item difficulty index, discriminatory power, as well as internal consistency analysis resulted in a revised instrument reduced to 67 items. We observed very high internal consistencies (between α = 0.868 and α = 0.975) for the subscales. The approach taken to develop the COPMI-SQ followed scientifically accepted principles by ensuring different construction phases and is considered a solid basis for further reliability and validity studies. The study is ongoing and undergoing a further validation investigation; dimensionality and factor structure will also be examined.

Project description:IntroductionMental disorders are often stigmatized in society. The stigma of mental illness affects people with a mental illness themselves as well as their family members-a phenomenon called stigma by association (SBA). Children of parents with a mental illness (COPMI) are a particular vulnerable group for SBA. In our systematic review, experienced SBA, anticipated SBA, affiliate SBA, and structural discrimination were identified as relevant stigma dimensions for children of parents with a mental illness. To assess SBA in adolescents who grow up with a parent with a mental illness, the COPMI-SQ was developed.MethodsN = 930 adolescents completed the study. Of those, N = 380 adolescents (sample 1; 72.6% female, mean age 17.12 (SD = 2.01) years) reported growing up with at least one parent with a mental illness. Using confirmatory (CFA) and exploratory factor analyses (EFA) as well as standard item and reliability analyses, we analyzed and revised the COPMI-SQ in the first sample. To validate the factorial structure of the revised COPMI-SQ, CFA was also conducted in the independent sample of the other N = 550 adolescents (sample 2; 80.0% female, mean age 16.36 (SD = 1.98) years) who reported not growing up with a parent with a mental illness. To test four measurement invariance, a multiple-group CFA was conducted in the combined sample of adolescents who reported growing up with and without a parent with a mental illness (sample 1 and sample 2).ResultsCFA in sample 1 resulted in an inadequate model fit for the theoretically assumed four-factor structure (CFI = .687; RMSEA = .064 (90% CI = .062-.066); SRMR = .092; AIC = 229 155.63). Following EFA and item and reliability analyses in sample 1, the COPMI-SQ was reduced to four scales ("Experienced SBA," "Affiliate SBA," "Shame," and "Anticipated SBA") and two additional screening scales ("Healthcare" and "Social support"). To facilitate questionnaire use, only the three best items were retained in each scale, reducing the total item number to 12 plus five additional screener items. CFA in sample 2 also resulted in an inadequate model fit for the theoretically assumed four factor structure (CFI = .667; RMSEA = .065 (90% CI = .063-.066); SRMR = .101; AIC = 335 651.99). In comparison, the final version of the COPMI-SQ-r showed the best model fit (CFI = .945; RMSEA = .062 (90% CI = .052-.072); SRMR = .049; AIC = 60 008.05). In the multiple-group CFA (sample 1 and sample 2), metric invariance was established (χ2 (208) = 481.58, p < .001; CFI = .939; RMSEA = .053 (90% CI = .047-.059); SRMR = .056). In sample 2, internal consistency was found to be good for the total scale (α = .84) and almost acceptable to almost good for the subscales (α = .64 to.78).DiscussionThe revised version of the COPMI-SQ (COPMI-SQ-r) is a reliable and economic questionnaire to assess SBA in adolescents who grow up with a parent with a mental illness. The COPMI-SQ-r can be used to help develop and evaluate anti-stigma and general interventions for affected adolescents.

Dataset Information

Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood.

Publications

Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood.

Similar Datasets

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