Showing 5 results for Economic Status
K Holakouie Naieni, A Fotouhi, M Borhani, B Pooya,
Volume 1, Issue 3 (2-2006)
Abstract
Background and objectives: Malnutrition is a major health problem in Iran. A nationwide survey (ANIS) in 1998 revealed that over 800 000 children in this country were suffering from moderate or severe malnutrition. The southern province of Hormozgan is one of the most severely affected regions, so there is a need to determine disease associations and risk factors for child malnutrition in this area.
Methods: In this case-control study, we selected 1725 children aged 6 to 30 months from both rural and urban areas of Hormozgan. Data for the study were obtained by filling questionnaires and studying family health files. Using the weight-for-age Z score (WAZ) as outcome measure, we examined the effects of 21 different variables, including putative risk factors, confounders, and background variables.
Results: Father's job (p<0.004), parents' education, interval between pregnancies, urban versus rural residence (p<0.001), family size (p<0.03), and misconceptions regarding the growth chart were recognized as risk factors for malnutrition. Moreover, the mean age of the cases was 2.3 years higher than that of the controls (p<0.001). Complete vaccination (p<0.018) and attending day care centers (p<0.005) emerged as protective factors.
Conclusions: Poverty (low-income jobs, rural residence, large family size, etc) is an important factor causing malnutrition among children in Hormozgan. In contrast, immunization and mother's knowledge of the child's growth chart are major protective factors. Therefore, the health system must continue its support for the current immunization program. It should also try to improve the quality of its health education programs targeted at mothers attending state-run health and medical clinics
M Vahdaninia, A Montazeri,
Volume 2, Issue 1 (3-2006)
Abstract
The term "health inequalities" is not a descriptive one: it refers to discrepancies in morbidity and mortality, life expectancy, disability life adjusted years, etc that are due to differences in such factors as socioeconomic status, gender and race/ethnicity. Socio-economic inequalities are the differences in health status (e.g. disease prevalence and incidence rates) across various socio-economic groups.
In Europe, measuring socio-economic health inequalities has long been a major research topic. However, there have been relatively few experimental studies in Asia, especially in developing countries. In the social context, measurement of socio-economic status is based on income, educational level and employment status. Stratifying the socio-economic groups based on a hierarchy identifies the pattern of morbidity and mortality in each socio-economic stratum. It also shows the exact relationship between socio-economic status and health.
The main data sources for determination of population health status and measuring health inequalities are registries and cross-sectional surveys.
It seems that monitoring, prevention and evaluation of health inequalities, especially with a focus on socio-economic level has been neglected in developing countries, including Iran. Due to the lack of formal registries on population health status in these countries, designing cross-sectional and population-based studies would be a useful approach in the prevention and monitoring of health inequalities.
E Goodarzi, Gh Moradi, A Khosravi, N Esmailnasab, B Nouri, A Delpisheh, E Ghaderi, D Roshani,
Volume 14, Issue 2 (9-2018)
Abstract
Background and Objectives: Life satisfaction is one of the important dimensions of health, which is influenced by health determinants. The aim of this study was to investigate the status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran.
Methods: In this cross-sectional study, randomized multistage cluster sampling with equal clusters was done to select the participants. A total of 35,305 women aged 15-55 were enrolled in the study. Data analysis was done in two stages. In the first stage, social and economic inequalities were investigated using the concentration index and concentration curve method. In the second stage, a multilevel method was used to identify the determinants.
Results: The mean life satisfaction was 12.81±4.23. The concentration index for dissatisfaction with life was -0.06 [95% CI: -0.1, -0.02], indicating dissatisfaction with life in low socioeconomic groups. The results of multilevel analysis showed that age, marital status, occupation, place of living, education, and the economic class correlated with dissatisfaction with life in women (P<0.05).
Conclusion: There is inequality in dissatisfaction with life. Dissatisfaction is concentrated in the poorer groups of the society and varies in different provinces. Socioeconomic variables affect inequality in satisfaction with life in women, which need to be addressed to reduce inequalities.
Y Salimi, T Paykani, S Ahmadi, M Shirazikhah, A Almasi, A Biglarian, N Rajabi Gilan, Z Jorjoran Shushtari ,
Volume 16, Issue 5 (3-2021)
Abstract
Background and Objectives: Vaccine acceptance could seriously affect global efforts to control the Covid-19 pandemic. The aim of this study was to estimate the Covid-19 vaccine acceptance and its related factors in Tehran and Kermanshah.
Methods: A population-based cross-sectional study was conducted on 850 participants in Tehran and Kermanshah using the random digit dialing method. Multiple logistic regression was used to estimate the adjusted odds ratio of factors related to vaccine acceptance.
Results: The frequency of the Covid-19 vaccine acceptance was 66.47% (95% confidence interval: 69.57%, 63.21%). Moreover, 86.02% of the participants stated that they would use any type of (Iranian / foreign) vaccine approved by the Iranian Ministry of Health. However, 13.98% of the participants stated that they only preferred foreign approved vaccines (if available). The variables of age, fatalism, and socioeconomic status had significant associations with the Covid-19 vaccine acceptance.
Conclusion: Based on the results of this study, the Covid-19 vaccine acceptance was moderate. In order to achieve herd immunity by vaccination faster in our society, the strategy of prioritizing vaccination can be planned based on the related variables such as religious beliefs and fatalism, younger age groups, and people with higher socio-economic status that are willing to receive the vaccine.
Elahe Faghihifar, Marjan Ajami, Sareh Shakerian,
Volume 19, Issue 4 (3-2024)
Abstract
Background and Objectives: Childhood obesity has become a global challenge today. Many studies have shown the relationship between obesity and socioeconomic factors. Therefore, this study aimed to evaluate socio-economic inequalities with nutritional patterns and obesity in children.
Methods: This study was conducted using the structural analysis methodology on 80 children from 6 to 13 years old, selected randomly from those referred to the health assessment centers of Sonqor and Kolyai, Iran. The body mass index was calculated using the standard method. Nutritional patterns were measured using the 24-hour food recall questionnaire, and socioeconomic status was assessed using related standard questionnaires. The data were analyzed using SPSS 24 and AMOS 24 software.
Results: The results showed that 28.75% of the subjects were obese or overweight. The structural analysis showed that the socioeconomic variable directly affected the nutritional pattern and body mass (-0.43) with an impact coefficient of as much as 0.65. The nutritional pattern variable affected BMI with an impact factor (-0.74). The bootstrap test results indicated that the significant effect of socio-economic status on BMI is mediated by nutritional pattern (-0.48). Prediction values show two economic-social and nutritional pattern variables predicted 0.16 and 0.29 BMI changes, respectively.
Conclusion: The findings of this study showed the effect of socioeconomic status on nutritional patterns and body mass index in the research community. Today, The issue of increasing body mass in the world and our country is one of the most important social challenges. Considering the heterogeneous effects of socioeconomic status on nutritional patterns and body mass index, it is necessary to formulate and implement preventive policies according to the conditions of the communities to achieve effective results.
