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1.
J Public Health (Oxf) ; 46(1): 51-60, 2024 Feb 23.
Article in English | MEDLINE | ID: mdl-37934962

ABSTRACT

BACKGROUND: This meta-analysis reports the relationship between hepatitis B virus (HBV), hepatitis C virus (HCV), smoking and their combined impact on the development of hepatocellular carcinoma (HCC). METHODS: We conducted a systematic search of PubMed, Web of Science and Scopus databases up to 15 July 2023. Observational studies investigating the association between HBV, HCV and smoking in the development of HCC were included. We assessed between-study heterogeneity using the I2 statistics. The effect sizes were estimated as odds ratio (OR) with 95% confidence intervals (CIs) using a random-effects model. RESULTS: Out of 20 794 studies identified in the initial search, 32 observational studies involving 22 282 participants met the inclusion criteria. Our meta-analysis showed that the combined impact of HBV and smoking was associated with an OR of 19.81 (95% CI: 14.77, 26.58), HCV and smoking was associated with an OR of 24.86 (95% CI: 12.41, 49.79), and coinfection of HBV and HCV was associated with an OR of 32.58 (95% CI: 20.57, 51.60). CONCLUSIONS: Our findings indicate a significant interaction between HBV, HCV and smoking in the development of HCC and highlight the importance of addressing smoking cessation and viral hepatitis prevention and treatment as potential strategies for reducing HCC.


Subject(s)
Carcinoma, Hepatocellular , Hepatitis B , Hepatitis C , Liver Neoplasms , Humans , Carcinoma, Hepatocellular/etiology , Carcinoma, Hepatocellular/complications , Hepacivirus , Liver Neoplasms/etiology , Liver Neoplasms/complications , Hepatitis C/complications , Hepatitis C/epidemiology , Hepatitis B/complications , Hepatitis B/epidemiology , Hepatitis B virus , Smoking/adverse effects , Smoking/epidemiology
2.
Int J Prev Med ; 10: 184, 2019.
Article in English | MEDLINE | ID: mdl-32133102

ABSTRACT

BACKGROUND: Health literacy is a major factor for health promotion and well-being. In spite of several researches on health literacy, information on the subject of the status of health literacy in Asian countries such as Iran is inadequate. Therefore, this study aimed to assess the inequality of health literacy in an Iranian population and its influencing factors. METHODS: In this cross-sectional study, 736 families were selected by cluster random sampling. A validated questionnaire was used to measure the health literacy of participants. Socioeconomic status (SES) was calculated by asset-based approach, and principal component analysis (PCA) was performed to estimate the families' SES. Concentration index and curve were used to measure SES inequality in health literacy, and after that decomposed into its determinants. The data were analyzed by Stata software. RESULTS: The mean age of the participants was 34.81 years (standard deviation = 5.98 years). The value of concentration index for health literacy equals 0.2292 (95% confidence interval = 0.168-0.283), and this value indicates that there is inequality in distribution of health literacy in Iran and the inequality disfavors the poor. CONCLUSIONS: The results of this study revealed that there is inequality in distribution of health literacy in Iran, and people of higher economic status in Iran enjoy from better health literacy levels.

3.
BMJ Open ; 7(5): e013644, 2017 05 17.
Article in English | MEDLINE | ID: mdl-28515186

ABSTRACT

OBJECTIVE: The present inquiry set to determine the economic inequality in history of stillbirth and understanding determinants of unequal distribution of stillbirth in Tehran, Iran. METHODS: A population-based cross-sectional study was conducted on 5170 pregnancies in Tehran, Iran, since 2015. Principal component analysis (PCA) was applied to measure the asset-based economic status. Concentration index was used to measure socioeconomic inequality in stillbirth and then decomposed into its determinants. RESULTS: The concentration index and its 95% CI for stillbirth was -0.121 (-0.235 to -0.002). Decomposition of the concentration index showed that mother's education (50%), mother's occupation (30%), economic status (26%) and father's age (12%) had the highest positive contributions to measured inequality in stillbirth history in Tehran. Mother's age (17%) had the highest negative contribution to inequality. CONCLUSIONS: Stillbirth is unequally distributed among Iranian women and is mostly concentrated among low economic status people. Mother-related factors had the highest positive and negative contributions to inequality, highlighting specific interventions for mothers to redress inequality.


Subject(s)
Educational Status , Health Status Disparities , Maternal Age , Social Class , Stillbirth/epidemiology , Adolescent , Adult , Cross-Sectional Studies , Family Characteristics , Female , Health Surveys , Humans , Iran/epidemiology , Linear Models , Logistic Models , Male , Pregnancy , Risk Factors , Young Adult
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