ABSTRACT
In many European and other high-income, Western countries, condom use has been decreasing among youth. A variety of promotional strategies to increase condom use exists. Our systematic review aimed to identify effective elements in interventions aimed at increasing condom use in youth. We searched databases (2010-2021) for intervention studies promoting condom use among youth in Western, high-income countries. The primary outcome was condom use; the secondary outcome was sexually transmitted infection (STI) diagnoses. Effectiveness per intervention was defined based on the percentage of comparisons that showed significant increases in condom use and significant decreases in STIs. We compared the effectiveness of interventions for different participant-, intervention- and methodological characteristics. We included 74 papers describing 85 interventions in the review. Overall, the median intervention effectiveness was 33.3% (interquartile range = 0%-66.7%) for condom use and 0% (interquartile range = 0%-100%) for STI diagnoses. Intervention effectiveness for condom use was significantly higher in interventions tailored towards females and males specifically, compared with interventions applied to both sexes combined. Our findings show the difficulty in designing effective interventions to increase condom use among youth. Interventions aimed at either females or males were more effective in increasing condom use.
Subject(s)
HIV Infections , Sexually Transmitted Diseases , Male , Female , Humans , Adolescent , Condoms , Sexually Transmitted Diseases/prevention & control , Safe Sex , Sexual BehaviorABSTRACT
INTRODUCTION: Many low-income and middle-income countries (LMIC) suffer from a double burden of infectious diseases (ID) and non-communicable diseases (NCD). Previous research suggests that a high rate of gender inequality is associated with a higher ID and NCD burden in LMIC, but it is unknown whether gender inequality is also associated with a double burden of disease. In this ecological study, we explored the association between gender inequality and the double burden of disease in LMIC. METHODS: For 108 LMIC, we retrieved the Gender Inequality Index (GII, scale 0-1) and calculated the double burden of disease, based on disability-adjusted life-years for a selection of relevant ID and NCD, using WHO data. We performed logistic regression analysis to study the association between gender inequality and the double burden of disease for the total population, and stratified for men and women. We adjusted for income, political stability, type of labour, urbanisation, government health expenditure, health infrastructure and unemployment. Additionally, we conducted linear regression models for the ID and NCD separately. RESULTS: The GII ranged from 0.13 to 0.83. A total of 37 LMIC had a double burden of disease. Overall, the adjusted OR for double burden of disease was 1.05 per 0.01 increase of GII (95% CI 0.99 to 1.10, p=0.10). For women, there was a borderline significant positive association between gender inequality and double burden of disease (OR 1.05, 95% CI 1.00 to 1.11, p=0.06), while there was no association in men (OR 0.99, 95% CI 0.95 to 1.04, p=0.75). CONCLUSION: We found patterns directing towards a positive association between gender inequality and double burden of disease, overall and in women. This finding suggests the need for more attention for structural factors underlying gender inequality to potentially reduce the double burden of disease.