Helping parents to stop smoking: which interventions are effective?

The development of socio-economic health differences in childhood: results of the Dutch longitudinal PIAMA birth cohort

BACKGROUND

People with higher socio-economic status (SES) are generally in better health. Less is known about when these socio-economic health differences set in during childhood and how they develop over time. The goal of this study was to prospectively study the development of socio-economic health differences in the Netherlands, and to investigate possible explanations for socio-economic variation in childhood health.

METHODS

Data from the Dutch Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort study were used for the analyses. The PIAMA study followed 3,963 Dutch children during their first eight years of life. Common childhood health problems (i.e. eczema, asthma symptoms, general health, frequent respiratory infections, overweight, and obesity) were assessed annually using questionnaires. Maternal educational level was used to indicate SES. Possible explanatory lifestyle determinants (breastfeeding, smoking during pregnancy, smoking during the first three months, and day-care centre attendance) and biological determinants (maternal age at birth, birthweight, and older siblings) were analysed using generalized estimating equations.

RESULTS

This study shows that socio-economic differences in a broad range of health problems are already present early in life, and persist during childhood. Children from families with low socio-economic backgrounds experience more asthma symptoms (odds ratio (OR) 1.27; 95% Confidence Interval (CI) 1.08-1.49), poorer general health (OR 1.36; 95% CI 1.16-1.60), more frequent respiratory infections (OR 1.57; 95% CI 1.35-1.83), more overweight (OR 1.42; 95% CI 1.16-1.73), and more obesity (OR 2.82; 95% CI 1.80-4.41). The most important contributors to the observed childhood socio-economic health disparities are socio-economic differences in maternal age at birth, breastfeeding, and day-care centre attendance.

CONCLUSIONS

Socio-economic health disparities already occur very early in life. Socio-economic disadvantage takes its toll on child health before birth, and continues to do so during childhood. Therefore, action to reduce health disparities needs to start very early in life, and should also address socio-economic differences in maternal age at birth, breastfeeding habits, and day-care centre attendance.

Effects of a school-based intervention for urban adolescents with asthma. A controlled trial

RATIONALE

Asthma prevalence and morbidity are especially elevated in adolescents, yet few interventions target this population.

OBJECTIVES

To test the efficacy of Asthma Self-Management for Adolescents (ASMA), a school-based intervention for adolescents and medical providers.

METHODS

Three hundred forty-five primarily Latino/a (46%) and African American (31%) high school students (mean age = 15.1 yr; 70% female) reporting an asthma diagnosis, symptoms of moderate to severe persistent asthma, and asthma medication use in the last 12 months were randomized to ASMA, an 8-week school-based intervention, or a wait-list control group. They were followed for 12 months.

MEASUREMENTS AND MAIN RESULTS

Students completed bimonthly assessments. Baseline, 6-month, and 12-month assessments were comprehensive; the others assessed interim health outcomes and urgent health care use. Primary outcomes were asthma self-management, symptom frequency, and quality of life (QOL); secondary outcomes were asthma medical management, school absences, days with activity limitations, and urgent health care use. Relative to control subjects, ASMA students reported significantly: more confidence to manage their asthma; taking more steps to prevent symptoms; greater use of controller medication and written treatment plans; fewer night awakenings, days with activity limitation, and school absences due to asthma; improved QOL; and fewer acute care visits, emergency department visits, and hospitalizations. In contrast, steps to manage asthma episodes, daytime symptom frequency, and school-reported absences did not differentiate the two groups. Most results were sustained over the 12 months.

CONCLUSIONS

ASMA is efficacious in improving asthma self-management and reducing asthma morbidity and urgent health care use in low-income urban minority adolescents.

Factors associated with nonresponse to a computer-tailored asthma management program for urban adolescents with asthma

BACKGROUND

The ability to identify potentially resistant participants early in the course of an intervention could inform development of strategies for behavior change and improve program effectiveness.

OBJECTIVE

The objective of this analysis was to identify factors related to nonresponse (i.e., lack of behavior change) to an asthma management intervention for urban teenagers. The intervention targeted several behaviors, including medication adherence, having a rescue inhaler nearby, and smoking.

METHODS

A discriminate analysis was conducted using data from a randomized trial of the intervention. Included in this analysis are participants who reported a physician diagnosis of asthma, completed a baseline questionnaire, were randomized to the treatment group, completed >or=2 of 4 educational sessions, and completed >or=2 of 3 follow-up questionnaires. Ninety students met criteria for inclusion in this subgroup analysis.

RESULTS

In logistic regression models for medication adherence, nonresponse was related to low baseline asthma self-regulation, odds ratio = 3.6 (95% confidence interval = 1.3-9.5). In models for having an inhaler nearby, nonresponse was related to low baseline self-regulation and to rebelliousness, OR = 4.7 (1.6-13.2) and 5.6 (1.7-18.0), respectively. Nonresponse to smoking messages was related to rebelliousness, low emotional support, and low religiosity, ORs = 7.6 (1.8-32.3), 9.5 (1.4-63.5), and 6.6 (1.5-29.8) respectively.

CONCLUSIONS

Certain variables had the ability to discriminate the likelihood of response from that of nonresponse to an asthma program for urban, African American adolescents with asthma. These variables can be used to identify resistant subgroups early in the intervention, allowing the application of specialized strategies through tailoring. These types of analyses can inform behavioral interventions.

A web-based, tailored asthma management program for urban African-American high school students

RATIONALE

Urban African-American youth, aged 15-19 years, have asthma fatality rates that are higher than in whites and younger children, yet few programs target this population. Traditionally, urban youth are believed to be difficult to engage in health-related programs, both in terms of connecting and convincing.

OBJECTIVES

Develop and evaluate a multimedia, web-based asthma management program to specifically target urban high school students. The program uses "tailoring," in conjunction with theory-based models, to alter behavior through individualized health messages based on the user's beliefs, attitudes, and personal barriers to change.

METHODS

High school students reporting asthma symptoms were randomized to receive the tailored program (treatment) or to access generic asthma websites (control). The program was made available on school computers.

MEASUREMENTS AND MAIN RESULTS

Functional status and medical care use were measured at study initiation and 12 months postbaseline, as were selected management behaviors. The intervention period was 180 days (calculated from baseline). A total of 314 students were randomized (98% African American, 49% Medicaid enrollees; mean age, 15.2 yr). At 12 months, treatment students reported fewer symptom-days, symptom-nights, school days missed, restricted-activity days, and hospitalizations for asthma when compared with control students; adjusted relative risk and 95% confidence intervals were as follows: 0.5 (0.4-0.8), p = 0.003; 0.4 (0.2-0.8), p = 0.009; 0.3 (0.1-0.7), p = 0.006; 0.5 (0.3-0.8), p = 0.02; and 0.2 (0.2-0.9), p = 0.01, respectively. Positive behaviors were more frequently noted among treatment students compared with control students. Cost estimates for program delivery were $6.66 per participating treatment group student.

CONCLUSIONS

A web-based, tailored approach to changing negative asthma management behaviors is economical, feasible, and effective in improving asthma outcomes in a traditionally hard-to-reach population.