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2.
BMC Psychiatry ; 20(1): 229, 2020 05 13.
Article in English | MEDLINE | ID: mdl-32404081

ABSTRACT

BACKGROUND: Socioeconomic inequality in mental health in Iran is poorly understood. This study aimed to assess socioeconomic inequality in poor mental health among Iranian adults. METHODS: The study used the baseline data of PERSIAN cohort study including 131,813 participants from 17 geographically distinct areas of Iran. The Erreygers Concentration index (E) was used to quantify the socioeconomic inequalities in poor mental health. Moreover, we decomposed the E to identify factors contributing to the observed socioeconomic inequality in poor mental health in Iran. RESULTS: The estimated E for poor mental health was - 0.012 (95% CI: - 0.0144, - 0.0089), indicating slightly higher concentration of mental health problem among socioeconomically disadvantaged adults in Iran. Socioeconomic inequality in poor mental health was mainly explained by gender (19.93%) and age (12.70%). Region, SES itself, and physical activity were other important factors that contributed to the concentration of poor mental health among adults with low socioeconomic status. CONCLUSION: There exists nearly equitable distribution in poor mental health among Iranian adults, but with important variations by gender, SES, and geography. These results suggested that interventional programs in Iran should focus on should focus more on socioeconomically disadvantaged people as a whole, with particular attention to the needs of women and those living in more socially disadvantaged regions.


Subject(s)
Mental Health/economics , Mental Health/statistics & numerical data , Social Class , Socioeconomic Factors , Adult , Cohort Studies , Female , Humans , Iran/epidemiology , Male , Sex Factors , Surveys and Questionnaires
3.
Intervirology ; 61(6): 292-300, 2018.
Article in English | MEDLINE | ID: mdl-30861512

ABSTRACT

AIMS: The aim of this study was to evaluate drug resistance patterns among Iranian people living with HIV who have taken antiretroviral therapy for 9-15 months. METHODS: A cross-sectional study was conducted between December 2015 and May 2016. Two hundred fifty-two blood samples were collected from all eligible HIV-infected patients at fourteen healthcare settings, located in major provinces in Iran. The samples were examined for presence of drug resistance strains and viral load level. Moreover, a phylogenetic tree, using neighbor joining, was constructed and HIV subtypes were determined. RESULTS: The most common subtypes were CRF35-AD (47.6%) and A1 (42.8%), followed by 45_CPX (4.8%) and C (4.8%). The resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs), nucleoside reverse transcriptase inhibitors (NRTIs), and protease inhibitors was reported as 19.2, 19.2, and 10.3%, respectively. M184I/V mutation was the most frequent (31.6%) mutation among NRTI-based regimens. Moreover, K103E/N was the most frequent (34.2%) NNRTI mutation. CONCLUSIONS: This is the first study to illuminate the emergence of the CPX genotype among Iranian patients. The drug resistance rate of NNRTIs was similar to that of NRTIs. By assessing drug resistance, it is possible to evaluate the efficacy of treatment and patient adherence to treatment.


Subject(s)
Drug Resistance, Viral , HIV Infections/epidemiology , HIV Infections/virology , HIV-1/drug effects , Adolescent , Adult , Aged , Anti-HIV Agents/pharmacology , Anti-HIV Agents/therapeutic use , Antiretroviral Therapy, Highly Active , CD4 Lymphocyte Count , Cross-Sectional Studies , Female , Genotype , HIV Infections/drug therapy , HIV Infections/history , HIV-1/genetics , History, 21st Century , Humans , Iran/epidemiology , Male , Middle Aged , Mutation , Mutation Rate , Phylogeny , Viral Load , Young Adult
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