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Purpose: To examine the associations between substance use and other health-risk behaviors and quality of life (QOL) among young men., Methods: The analytical sample consisted of 5,306 young Swiss men who participated in the Cohort Study on Substance Use Risk Factors. Associations between seven distinct self-reported health-risk behaviors (risky single-occasion drinking; volume drinking; cigarette smoking; cannabis use; use of any other illicit drugs; sexual intercourse without a condom; low physical activity) were assessed via chi-square analysis. Logistic regression analyses were conducted to study the associations between each particular health-risk behavior and either physical or mental QOL (assessed with the SF-12v2) while adjusting for socio-demographic variables and the presence of all other health-risk behaviors., Results: Most health-risk behaviors co-occurred. However, low physical activity was not or negatively related to other health-risk behaviors. Almost all health-risk behaviors were associated with a greater likelihood of compromised QOL. However, sexual intercourse without a condom (not associated with both physical and mental QOL) and frequent risky single-occasion drinking (not related to mental QOL after adjusting for the presence of other health-risk behaviors; positively associated with physical QOL) differed from this pattern., Conclusions: Health-risk behaviors are mostly associated with compromised QOL. However, sexual intercourse without a condom and frequent risky single-occasion drinking differ from this pattern and are therefore possibly particularly difficult to change relative to other health-risk behaviors.

Background: Studies about the association between body mass index (BMI) and health-related quality of life (HRQOL) are often limited, because they 1) did not include a broad range of health-risk behaviors as covariates; 2) relied on clinical samples, which might lead to biased results; and 3) did not incorporate underweight individuals. Hence, this study aims to examine associations between BMI (from being underweight through obesity) and HRQOL in a population-based sample, while considering multiple health-risk behaviors (low physical activity, risky alcohol consumption, daily cigarette smoking, frequent cannabis use) as well as socio-demographic characteristics., Methods: A total of 5 387 young Swiss men (mean age = 19.99; standard deviation = 1.24) of a cross-sectional population-based study were included. BMI was calculated (kg/m²) based on self-reported height and weight and divided into 'underweight' (<18.5), 'normal weight' (18.5-24.9), 'overweight' (25.0-29.9) and 'obese' (≥30.0). Mental and physical HRQOL was assessed via the SF-12v2. Self-reported information on physical activity, substance use (alcohol, cigarettes, and cannabis) and socio-demographic characteristics also was collected. Logistic regression analyses were conducted to study the associations between BMI categories and below average mental or physical HRQOL. Substance use variables and socio-demographic variables were used as covariates., Results: Altogether, 76.3% were normal weight, whereas 3.3% were underweight, 16.5% overweight and 3.9% obese. Being overweight or obese was associated with reduced physical HRQOL (adjusted OR [95% CI] = 1.58 [1.18-2.13] and 2.45 [1.57-3.83], respectively), whereas being underweight predicted reduced mental HRQOL (adjusted OR [95% CI] = 1.49 [1.08-2.05]). Surprisingly, obesity decreased the likelihood of experiencing below average mental HRQOL (adjusted OR [95% CI] = 0.66 [0.46-0.94]). Besides BMI, expressed as a categorical variable, all health-risk behaviors and socio-demographic variables were associated with reduced physical and/or mental HRQOL., Conclusions: Deviations from normal weight are, even after controlling for important health-risk behaviors and socio-demographic characteristics, associated with compromised physical or mental HRQOL among young men. Hence, preventive programs should aim to preserve or re-establish normal weight. The self-appraised positive mental well-being of obese men noted here, which possibly reflects a response shift, might complicate such efforts.

Purpose: To examine parent-child agreement regarding a child's health-related quality of life (HRQOL) among three health status groups., Methods: Parent-child agreement was evaluated for three health status groups of a population-based sample: (1) children with mental health problems (N = 461), (2) children with physical health problems (N = 281), and (3) healthy controls (N = 699). The KIDSCREEN-27 was used to assess HRQOL. The children were 9-14 years of age., Results: Intraclass correlation coefficients were mostly good across all HRQOL scores and health status groups. This relatively high level of agreement was also reflected by the following findings: first, the AGREE group was the largest in three out of five HRQOL subscales in all health status groups; second, when disagreement occurred, it was often minor in magnitude. Despite this relatively high level of agreement, the means of self-ratings were significantly higher for all HRQOL scores and health status groups than the means of proxy ratings. These higher self-ratings were especially pronounced among children with mental health problems in certain HRQOL domains., Conclusions: Even though the level of parent-child agreement regarding a child's HRQOL is relatively high, it should be considered that children (especially those with mental health problems) often report better HRQOL than their parents. It is, therefore, highly recommended that both proxy- and self-ratings are used to evaluate a child's HRQOL comprehensively.

Purpose: To systematically review studies about the quality of life (QOL) of children with various mental disorders relative to healthy controls and to describe limitations in these studies., Methods: Relevant articles were searched using different databases, by checking reference lists and contacting experts. We included articles that either compared children with mental disorders to healthy controls/norm values or made such a comparison possible., Results: Sixteen out of 4,560 articles met the pre-defined inclusion criteria. These studies revealed that the QOL of children with various mental disorders is compromised across multiple domains. The largest effect sizes were found for psychosocial and family-related domains and for the total QOL score, whereas physical domains generally were less affected. The most important limitations in the existing literature include the lack of study samples drawn from the general population, the failure to use self-ratings, not considering item overlap between measuring QOL and assessing for the presence of a particular mental disorder, and not determining whether the children were receiving medication for their mental disorder., Conclusions: Children with mental disorders experience a considerable reduction in QOL across various domains. Research studies that avoid previous limitations are crucial to fill existing knowledge gaps.

Purpose: The purpose of the present study was to compare health-related quality of life (HRQoL) between children with special health care needs (CSHCN) and those without. In particular, CSHCN who require psychiatric services and those who do not were compared., Methods: A representative community sample of 3,325 children (10-14 years old) was recruited from the Canton of Zurich. Via either computer-assisted telephone interviews or a written questionnaire, special health care needs were assessed using the five-item parent-reported CSHCN Screener. Subsequent to screening, a written questionnaire was sent to a sub-sample of 974 children to acquire more detailed information, both from the children and their parents, about their health and health care utilization, and to assess HRQoL (KIDSCREEN-27) and emotional and behavioral problems (SDQ). A total of 626 children responded to the questionnaire. Multiple linear regression models were used to examine the association between HRQoL and subject group, controlling for other covariates., Results: Among 2,586 children whose parents participated in the screening stage, roughly 18% were identified as CSHCN, with 6.2% requiring psychiatric services. The subsequent survey revealed that those CSHCN who required psychiatric services had the lowest HRQoL scores and highest SDQ scores. CSHCN who utilized psychiatric services were particularly prone to low HRQoL, especially among lower income families., Conclusions: The influence of noticeable emotional and behavioral problems on HRQoL should be afforded more attention, both in clinical practice and empirical studies involving children with special health care needs.

Background: Children with mental health problems have been neglected in health-related quality of life (HRQOL) studies. Therefore, the aims of the current study were 1) to assess the influence of the presence of mental or physical health problems on HRQOL; and 2) to analyze the effects of item overlap between mental health problems and HRQOL-measurements., Methods: Proxy- and self-rated HRQOL (KIDSCREEN-27) of children 9-14 years old was assessed across children with mental health problems (n = 535), children with physical health problems (n = 327), and healthy controls (n = 744). Multiple linear regression analyses were conducted with health status, severity of symptoms, status of medication use, gender and nationality as independent, and HRQOL scores as dependent variables. The effects of item overlap were analyzed by repeating regression analyses while excluding those HRQOL items that contextually overlapped the most frequently-occurring mental health problem (attention deficits)., Results: Severity of symptoms was the strongest predictor of reduced HRQOL. However, all other predictors (except for the status of medication use) also contributed to the prediction of some HRQOL scores. Controlling for item overlap did not meaningfully alter the results., Conclusions: When children with different health constraints are compared, the severity of their particular health problems should be considered. Furthermore, item overlap seems not to be a major problem when the HRQOL of children with mental health problems is studied. Hence, HRQOL assessments are useful to gather information that goes beyond the clinical symptoms of a health problem. This information can, for instance, be used to improve clinical practice.