3 research outputs found

    Data_Sheet_1_Worse becomes the worst: obesity inequality, its determinants and policy options in Iran.docx

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    BackgroundThis tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities.MethodsThis study was performed in two phases. First, we conducted a rapid review of the disparity in obesity prevalence in Iran. Then we investigated the main determinants of this inequality in a qualitative study. In addition, we examined Iran’s policies to deal with obesity from the perspective of equality. We conducted 30 Semi-structured interviews with various obesity stakeholders selected through a purposive snowball sampling method between November 25, 2019, and August 5, 2020. In the inductive approach, we used the content analysis method based on the Corbin and Status framework to analyze the data using MAXQDA-2020. The consolidating criteria for reporting a Qualitative Study (COREQ-32) were applied to conduct and report the study.ResultsInequalities in the prevalence of obesity in terms of place of residence, gender, education, and other socioeconomic characteristics were identified in Iran. Participants believed that obesity and inequality are linked through immediate and intermediate causes. Inequality in access to healthy foods, physical activity facilities, and health care are the immediate causes of this inequality. Intermediate factors include inequality against women, children, and refugees, and inequality in access to information, education, and financial resources. Policymakers should implement equity-oriented obesity control policies such as taxing unhealthy foods, subsidizing healthy foods, providing healthy and free meals in schools, especially in disadvantaged areas, and providing nutrient-rich foods to low-income families. Also, environmental re-engineering to increase opportunities for physical activity should be considered. Of course, for the fundamental reduction of these inequalities, the comprehensive approach of all statesmen is necessary.ConclusionObesity inequality is a health-threatening issue in Iran that can prevent achieving human development goals. Targeting the underlying causes of obesity, including inequalities, must be considered.</p

    Table_3_Worse becomes the worst: obesity inequality, its determinants and policy options in Iran.pdf

    No full text
    BackgroundThis tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities.MethodsThis study was performed in two phases. First, we conducted a rapid review of the disparity in obesity prevalence in Iran. Then we investigated the main determinants of this inequality in a qualitative study. In addition, we examined Iran’s policies to deal with obesity from the perspective of equality. We conducted 30 Semi-structured interviews with various obesity stakeholders selected through a purposive snowball sampling method between November 25, 2019, and August 5, 2020. In the inductive approach, we used the content analysis method based on the Corbin and Status framework to analyze the data using MAXQDA-2020. The consolidating criteria for reporting a Qualitative Study (COREQ-32) were applied to conduct and report the study.ResultsInequalities in the prevalence of obesity in terms of place of residence, gender, education, and other socioeconomic characteristics were identified in Iran. Participants believed that obesity and inequality are linked through immediate and intermediate causes. Inequality in access to healthy foods, physical activity facilities, and health care are the immediate causes of this inequality. Intermediate factors include inequality against women, children, and refugees, and inequality in access to information, education, and financial resources. Policymakers should implement equity-oriented obesity control policies such as taxing unhealthy foods, subsidizing healthy foods, providing healthy and free meals in schools, especially in disadvantaged areas, and providing nutrient-rich foods to low-income families. Also, environmental re-engineering to increase opportunities for physical activity should be considered. Of course, for the fundamental reduction of these inequalities, the comprehensive approach of all statesmen is necessary.ConclusionObesity inequality is a health-threatening issue in Iran that can prevent achieving human development goals. Targeting the underlying causes of obesity, including inequalities, must be considered.</p

    Table_1_Dietary total antioxidant capacity and head and neck cancer: a large case-control study in Iran.pdf

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    BackgroundData on the association between head and neck cancer (HNC) and dietary factors are inconclusive. No study has so far investigated the association between dietary total antioxidant capacity (dTAC) and HNC concerning interactions with other risk factors.MethodPathologically confirmed new diagnosed HNC patients were included in this study. The control group was healthy hospital visitors who were frequently matched with patients on age (5 years interval), gender, and province of residence. Trained interviewers administered a validated Food Frequency Questionnaire (FFQ) to assess the participants’ food intake 1 year before the cancer diagnosis. Data on TAC scores of foods was collected by Ferric Reducing Antioxidant Power (FRAP) and Total Radical-trapping Antioxidant Parameters (TRAP) from published data. We applied logistic regression adjusted for age, sex, energy intake, socioeconomic status, province, opium use, alcohol use, physical activity, and dental health. We also studied the interaction of dTAC with tobacco smoking status, and opium use on the risk of HNC.ResultsWe recruited 876 HNC patients and 3,409 healthy controls. We observed a significant decrease in the odds of HNC with increasing dTAC scores. The OR of HNC for the third vs. the first tertile was 0.49 (95%CI 0.39–0.61) for FRAP and 0.49 (95%CI 0.39–0.62) for TRAP. Both dTAC scores were inversely associated with lip and oral (T3 ver. T1 OR = 0.51; 95%CI 0.36–0.71 for FRAP and OR = 0.59; 95% CI 0.44–0.82 for TRAP) and larynx (T3 ver. T1 OR = 0.43; 95%CI 0.31–0.61 for FRAP and OR = 0.38; 95% CI 0.26–0.55 for TRAP) cancers. There was no interaction between tobacco smoking, opium use; and TRAP or FRAP on the risk of HNC.ConclusionAn antioxidant-rich diet in terms of FRAP or TRAP could decrease the risk of HNC and its subtypes.</p
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