Predictors of the use of healthcare services in children and adolescents in Spain.

OBJECTIVE: To assess medium to long term predictors of healthcare services use in a population-based sample of children/adolescents in Spain. METHODS: A sample of children and adolescents aged 8-18 and their parents were evaluated at baseline (2003) and follow-up (2006). Total use of healthcare services and visits to specialist and dentists at the follow-up were analyzed. RESULTS: Four hundred fifty-four children/adolescents completed baseline and follow-up assessments (response rate 54 %). 90 % of respondents reported at least one visit during the 12 months previous to the follow-up. Low socioeconomic status (beta coefficient = 0.30; 95 % CI = 0.02-0.57), double healthcare coverage (0.41; 0.17-0.66), parental use of services, poor mental health and activity limitation were associated to the total number of visits. Access to specialist was associated to double healthcare coverage (OR = 1.77; 1.01-3.07) and parental primary level of education (OR = 0.51; 0.32-0.81). Age and low family affluence predicted visits to dentists (OR = 0.38; 0.19-0.73). CONCLUSION: No barriers to healthcare services use were found. Family level of education, family affluence and double healthcare coverage predicted the use of specialists and dentists.

Environmental risk and protective factors of adolescents' and youths' mental health: differences between parents' appraisal and self-reports.

PURPOSE: We investigated the effect of parents' mental health, life events, and home life (among other factors) on adolescents'/youths' mental health, whether such an effect varies when several variables are assessed jointly, and also whether the informant source of the mental health problem modifies the estimations. METHODS: We studied a representative sample of 454 Spanish adolescents/youths studied longitudinally (2 assessments, 3 years apart). We considered factors associated with adolescents'/youths' mental health (conduct, emotional, and hyperactivity scores [SDQ]): risk factors (parents' mental health and life events) and mediators (social and financial support). Structural equation modeling was applied. We constructed two models: (a) with parents' SDQ responses and (b) with self-reported SDQ responses (in a subsample of N = 260). RESULTS: Model fit was adequate for parents' appraisal. Parents' mental health (p < 0.05) and undesirable life events (p < 0.05) were the most important risk factors. The same model showed poorer fit when self-reported measures were used. Home life exerted a stronger protective effect on adolescents'/youths' mental health when reported by adolescents/youths. The negative effect of parents' mental health was significantly protected by home life in emotional [-0.14 (0.07)] and hyperactivity scores [-0.2 (0.08)]. CONCLUSIONS: Even in the presence of other factors, parents' mental health has an important effect on adolescents'/youths' mental health. Good levels of home life are protective, especially when adolescents'/youths' mental health is self-reported.

Relationship between life events and psychosomatic complaints during adolescence/youth: a structural equation model approach.

PURPOSE: To assess the contribution of life events (LEs) on psychosomatic complaints in adolescents/youths taking into account a set of socioeconomic variables. METHODS: We tested a conceptual model implemented with structural equation modeling on longitudinal data from a representative sample of adolescents/youths and parents. Psychosomatic complaints were measured by the Health Behaviour in School-aged Children scale and hypothesized to be affected by: (a) contextual factors at distal level: financial resources, home life and social support (KIDSCREEN), and parent baseline mental health (SF-12); (b) triggering factors: LEs (Coddington Life Events Scales, with two typologies: desirability and familiarity); (c) intermediate factors: same as distal level but measured at follow-up; (d) immediate cause: mental health at proximal level (Strengths and Difficulties Questionnaire at baseline and follow-up); and (e) gender. RESULTS: The structural model yielded a good fit (Comparative Fit Index = .95, Tucker-Lewis Index = .93, Root Mean Square Error = .04). Boys showed more psychosomatic complaints than girls (ß = .40, p < .05). Girls reported experiencing more LEs (p < .05). Only undesirable LEs showed a significant direct negative effect on psychosomatic complaints, which became nonsignificant when mediated by home life and mental health. Undesirable LEs had a remaining indirect effects on psychosomatic complaints (ßindirect = -.10, p < .05) via Home Life and Mental health, which were protective factors (ß = .41 and ß = -.15, p < .05). CONCLUSIONS: The experience of undesirable LEs increases the probability of psychosomatic complaints, but the final effect would be determined by previous levels of home life and mental health stability.

Impact of recent life events on the health related quality of life of adolescents and youths: the role of gender and life events typologies in a follow-up study.

BACKGROUND: Most studies on the effect of life events (LEs) have been carried out in convenience samples which cannot be considered representative of the general population. In addition, recent studies have observed that gender differences in the health related quality of life (HRQoL) impact of LEs might be lower than believed. We assessed the relationship between LEs and HRQoL in a representative sample of Spanish adolescents/youths, focusing on gender differences. METHODS: Participants (n = 840) completed the KIDSCREEN-27 to measure HRQoL at baseline and again after 3 years (n = 454). Follow-up assessment included the Coddington Life Events Scales (CLES) to measure LEs experiences in the previous 12 months. Respondents were categorized according to the amount of stress suffered. We calculated both the number of LEs and the Life Change Unit (LCU) score, a summary of the amount of stress inherent to the event and the time elapsed since occurrence. LEs were classified as desirable or undesirable, and family-related or extra-family. Effect sizes were calculated to evaluate changes in HRQoL. To assess the impact of LEs typologies, multiple linear regression models were constructed to evaluate their effect on HRQoL. RESULTS: Girls reported a mean 5.7 LEs corresponding to 141 LCUs, and boys 5.3 and 129, respectively. The largest impact of LEs on HRQoL was observed in the group of boys that reported to have lived more stress (third tertil of LCUs distribution). The linear association between LEs and HRQoL tended to be stronger among boys than girls, but the difference was not statistically significant. The effect on HRQoL was deemed important when undesirable events had been experienced. To have an important impact on HRQoL, 200 LCUs due to undesirable events were necessary in boys. In girls, slightly higher scores were necessary for a similar impact. CONCLUSIONS: A moderate association was found between recent LEs and HRQoL, mainly among those who experienced several undesirable events that correspond to at least 200 LCUs. No gender differences were found in this association. Results may be useful for identifying adolescents with particular health risks, regardless of gender.

Effect on health-related quality of life of changes in mental health in children and adolescents.

BACKGROUND: The objective of the study was to assess the effect of changes in mental health status on health-related quality of life (HRQOL) in children and adolescents aged 8 - 18 years. METHODS: A representative sample of Spanish children and adolescents aged 8-18 years completed the self-administered KIDSCREEN-52 questionnaire at baseline and after 3 years. Mental health status was measured using the Strengths and Difficulties Questionnaire (SDQ). Changes on SDQ scores over time were used to classify respondents in one of 3 categories (improved, stable, worsened). Data was also collected on gender, undesirable life events, and family socio-economic status. Changes in HRQOL were evaluated using effect sizes (ES). A multivariate analysis was performed to identify predictors of poor HRQOL at follow-up. RESULTS: Response rate at follow-up was 54% (n = 454). HRQOL deteriorated in all groups on most KIDSCREEN dimensions. Respondents who worsened on the SDQ showed the greatest deterioration, particularly on Psychological well-being (ES = -0.81). Factors most strongly associated with a decrease in HRQOL scores were undesirable life events and worsening SDQ score. CONCLUSIONS: Changes in mental health status affect children and adolescents' HRQOL. Improvements in mental health status protect against poorer HRQOL while a worsening in mental health status is a risk factor for poorer HRQOL.