OBJECTIVE: To determine the prevalence of depression and anxiety and their associations with body mass index (BMI) among high school students in Qazvin, Iran in 2013-2014.
METHODS: A descriptive and analytical cross-sectional study using cluster-sampling method recruited 1,040 students among high schools in Qazvin, Iran from March 2013 to April 2014. Data were collected using questionnaires including demographic, Beck depression inventory and Beck anxiety inventory, and were analyzed with SPSS-19 by descriptive analyses, t-test, Chi-square and Pearson correlation.
RESULTS: The prevalence of depression and anxiety was 31.8% and 14.9%, respectively and these amounts were significantly higher in girls than in boys (p<0.05). Respondents showed 23.75% and 11.07% mild to moderate symptoms of depression and anxiety, respectively as well as 8.08 and 3.75% severe symptoms of depression and anxiety, respectively. There was a positive and significant association between depression and anxiety (r=0.256, p<0.001) and between depression and body mass index (BMI) (r=0.333, p<0.001), however there was an inverse association between anxiety and BMI (r=0.086, p<0.006).
CONCLUSION: The current study made a significant step forward in assessment of mental disorders and BMI to show the significance of depression and anxiety among adolescents in Qazvin. Therefore, effective interventions are necessary to improve this situation as well as the evaluation of the effectiveness of the interventions.
OBJECTIVE: This study aimed to examine the effect of depression and anxiety on QOL in stroke survivor-caregiver dyads using dyadic analysis technique - the Actor-Partner Interdependence Model (APIM).
METHODS: This was a cross-sectional pilot study with a total of 30 participating dyads (30 stroke survivors and 30 family caregivers) from Hospital Rehabilitasi Cheras, Kuala Lumpur, Malaysia. This pilot study was conducted over a period of 3 months, between December 2014 and February 2015. Depression and anxiety were assessed using the Hospital Anxiety and Depression Scale (HADS). QOL was assessed using the Short Form-12 Health Survey (SF-12). All analyses were carried out using IBM SPSS version 22. Dyadic data were analysed using multilevel modelling (MLM).
RESULTS: Depression was uniquely associated with an individual's own QOL. Survivors and caregivers with higher depression had poorer physical component summary (PCS) scores and mental component summary (MCS) scores. Stroke survivor's depression exerted a significant actor effect on their PCS (b=-1.42, p=0.001) and MCS (b=-1.52, p<0.001). Caregiver's depression exerted a significant actor effect on their PCS (b=-2.53, p<0.001) and MCS (b=-1.51, p=0.004). Caregivers' anxiety negatively influenced their own MCS (b=-0.58, p=0.031). Furthermore, depression exerted a significant partner effect on PCS in stroke survivors (b=-1.19, p=0.003). Caregivers' depression was also related to their stroke survivors' poorer QOL, particularly PCS.
CONCLUSION: The findings suggest that depression affects the QOL of both stroke survivors and caregivers, not only emotionally but also physically. This dyadic study also has evidence pointing to depression in caregivers and its association with stroke survivors' physical QOL.