Lilla Andréka, Orsolya Csenteri-Bárdos, Gergő József Szőllősi, Péter Andréka, Zoltán Jancsó, Péter Vajer
{"title":"贫困定居点中罗姆人和非罗姆人的心血管风险因素。","authors":"Lilla Andréka, Orsolya Csenteri-Bárdos, Gergő József Szőllősi, Péter Andréka, Zoltán Jancsó, Péter Vajer","doi":"10.1186/s12875-024-02555-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The 'Taking the screening tests close to the people' program offers cardiovascular screening to the inhabitants of underprivileged settlements. This study aimed to evaluate the cardiovascular risk factors of underprivileged populations, including individuals who described themselves as belonging to the Roma population.</p><p><strong>Methods: </strong>During the program, we collected information about demographic features, lifestyle and current illnesses. A general health assessment (body weight, height, blood pressure and fasting blood glucose) and cardiovascular examination were performed. We analysed data on both Roma and non-Roma groups and used Pearson's chi-squared test and multiple logistic regression models to analyse the factors that contribute to the onset of comorbidities, with a special focus on ethnicity.</p><p><strong>Results: </strong>Data from 6211 participants were processed. Based on self-reports, the non-Roma population consisted of 5352 respondents (1364 men (25.5%) and 3988 women (74.5%)), and the Roma population comprised 859 respondents (200 men (23.3%) and 659 women (76.7%)). A total of 91.2% (4849) of the non-Roma population and 92.5% (788) of the Roma population exercised less than 3 h per week (p < 0.001). Of the non-Roma population, 71.7% (3512) had a body mass index above 25 kg/m<sup>2</sup>, while the corresponding figure was 72.4% (609) in the Roma population (p = 0.709). The median body mass index was 28.0 (24.6-31.9) in the non-Roma population and 28.8 (24.5-33.0) in the Roma population (p < 0.001). The prevalence of active smokers was 28.7% (1531) in the non-Roma population and 60.3% (516) in the Roma population (p < 0.001). The prevalence of hypertension was 54.9% (2824) in the non-Roma population and 49.8% (412) in the Roma population (p < 0.001). The prevalence of diabetes was 11.5% (95) in the Roma population and 12.2% (619) in the non-Roma population (p < 0.001).</p><p><strong>Conclusion: </strong>We found a high prevalence of overweight and obesity, a lack of physical activity and an remarkably high smoking rate in the studied underprivileged population. Both type 2 diabetes and hypertension were more common among people living in underprivileged settlements than in the general Hungarian population. People living in underprivileged settlements need more attention in primary care.</p>","PeriodicalId":72428,"journal":{"name":"BMC primary care","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11312200/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cardiovascular risk factors among Roma and non-Roma populations in underprivileged settlements.\",\"authors\":\"Lilla Andréka, Orsolya Csenteri-Bárdos, Gergő József Szőllősi, Péter Andréka, Zoltán Jancsó, Péter Vajer\",\"doi\":\"10.1186/s12875-024-02555-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The 'Taking the screening tests close to the people' program offers cardiovascular screening to the inhabitants of underprivileged settlements. This study aimed to evaluate the cardiovascular risk factors of underprivileged populations, including individuals who described themselves as belonging to the Roma population.</p><p><strong>Methods: </strong>During the program, we collected information about demographic features, lifestyle and current illnesses. A general health assessment (body weight, height, blood pressure and fasting blood glucose) and cardiovascular examination were performed. We analysed data on both Roma and non-Roma groups and used Pearson's chi-squared test and multiple logistic regression models to analyse the factors that contribute to the onset of comorbidities, with a special focus on ethnicity.</p><p><strong>Results: </strong>Data from 6211 participants were processed. Based on self-reports, the non-Roma population consisted of 5352 respondents (1364 men (25.5%) and 3988 women (74.5%)), and the Roma population comprised 859 respondents (200 men (23.3%) and 659 women (76.7%)). A total of 91.2% (4849) of the non-Roma population and 92.5% (788) of the Roma population exercised less than 3 h per week (p < 0.001). Of the non-Roma population, 71.7% (3512) had a body mass index above 25 kg/m<sup>2</sup>, while the corresponding figure was 72.4% (609) in the Roma population (p = 0.709). The median body mass index was 28.0 (24.6-31.9) in the non-Roma population and 28.8 (24.5-33.0) in the Roma population (p < 0.001). The prevalence of active smokers was 28.7% (1531) in the non-Roma population and 60.3% (516) in the Roma population (p < 0.001). The prevalence of hypertension was 54.9% (2824) in the non-Roma population and 49.8% (412) in the Roma population (p < 0.001). The prevalence of diabetes was 11.5% (95) in the Roma population and 12.2% (619) in the non-Roma population (p < 0.001).</p><p><strong>Conclusion: </strong>We found a high prevalence of overweight and obesity, a lack of physical activity and an remarkably high smoking rate in the studied underprivileged population. Both type 2 diabetes and hypertension were more common among people living in underprivileged settlements than in the general Hungarian population. People living in underprivileged settlements need more attention in primary care.</p>\",\"PeriodicalId\":72428,\"journal\":{\"name\":\"BMC primary care\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11312200/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC primary care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s12875-024-02555-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC primary care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12875-024-02555-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Cardiovascular risk factors among Roma and non-Roma populations in underprivileged settlements.
Background: The 'Taking the screening tests close to the people' program offers cardiovascular screening to the inhabitants of underprivileged settlements. This study aimed to evaluate the cardiovascular risk factors of underprivileged populations, including individuals who described themselves as belonging to the Roma population.
Methods: During the program, we collected information about demographic features, lifestyle and current illnesses. A general health assessment (body weight, height, blood pressure and fasting blood glucose) and cardiovascular examination were performed. We analysed data on both Roma and non-Roma groups and used Pearson's chi-squared test and multiple logistic regression models to analyse the factors that contribute to the onset of comorbidities, with a special focus on ethnicity.
Results: Data from 6211 participants were processed. Based on self-reports, the non-Roma population consisted of 5352 respondents (1364 men (25.5%) and 3988 women (74.5%)), and the Roma population comprised 859 respondents (200 men (23.3%) and 659 women (76.7%)). A total of 91.2% (4849) of the non-Roma population and 92.5% (788) of the Roma population exercised less than 3 h per week (p < 0.001). Of the non-Roma population, 71.7% (3512) had a body mass index above 25 kg/m2, while the corresponding figure was 72.4% (609) in the Roma population (p = 0.709). The median body mass index was 28.0 (24.6-31.9) in the non-Roma population and 28.8 (24.5-33.0) in the Roma population (p < 0.001). The prevalence of active smokers was 28.7% (1531) in the non-Roma population and 60.3% (516) in the Roma population (p < 0.001). The prevalence of hypertension was 54.9% (2824) in the non-Roma population and 49.8% (412) in the Roma population (p < 0.001). The prevalence of diabetes was 11.5% (95) in the Roma population and 12.2% (619) in the non-Roma population (p < 0.001).
Conclusion: We found a high prevalence of overweight and obesity, a lack of physical activity and an remarkably high smoking rate in the studied underprivileged population. Both type 2 diabetes and hypertension were more common among people living in underprivileged settlements than in the general Hungarian population. People living in underprivileged settlements need more attention in primary care.