2 resultados para Pueblo Indians.

em DigitalCommons@The Texas Medical Center


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Background: Helicobacter pylori infection among Native Americans is more prevalent than any other minority group in the United States. Few studies involving Helicobacter pylori have been conducted on Native Americans and no previous studies have been conducted in the Ysleta del Sur Pueblo population. Therefore we wanted to explore the prevalence and risk factors of Helicobacter pylori within this community. We also explored whether household transmission is occurring. ^ Materials and Methods: We conducted a cross-section study on the prevalence of Helicobacter pylori in the Ysleta del Sur Pueblo community. Main household caregivers were interviewed on household conditions, hygiene practices, and household sociodemographics. All household members were tested for IgG urine antibodies against Helicobacter pylori using RAPIRUN test kits. 13C urea breath testing using BREATHTEK kits was provided to study participants that had positive antibody results and utilized as confirmatory results of infection. ^ Results: Prevalence of Ysleta del Sur Pueblo was determined to be 27.4%. When comparing for ethnicity, Native Americans had increased prevalence of infection then Mexican-Americans living on the Pueblo. That prevalence increased from 1.6 to 3.3 when taking account only United States born study participants. The household secondary prevalence rate was found to be 23.8%. Helicobacter pylori infection rates increased with increasing age and decreasing income. ^ Conclusions: Native Americans had an increased risk of infection. As expected risk factors for Helicobacter pylori correlated with previous studies, but we found evidence of limited current transmission within households. However, due to the limited sample size (n=62) and power, we were not able to find statistical significance for some risk factors. A statistical association was found with age where increasing prevalence corresponded with increasing age suggesting that the birth cohort may be in effect within this population.^

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Objective: My study aimed at determining the association between obesity and diabetes prevalence in South Asian Indian immigrants in Houston, Texas. To also compare the prevalence odds of diabetes given obesity, using WHO-BMI criteria and recommended Asian ethnic-specific BMI criteria for obesity, as well as using WHO-standard waist circumference criteria and ethnic-specific criteria for abdominal obesity, across gender and age, in this population. ^ Methods: My study was a secondary data analysis based on a cross-sectional study carried out on adult South Asian Indians who attended a local community health fair in Houston, in 2007. They recruited 213 voluntary, eligible, South Asian Indian participants aged between 18 to 79 years. Self reported history of Diabetes was obtained and height, weight, waist and hip circumference were measured. I classified BMI based on WHO-standard and ethnic-specific criteria, according to gender and age groups of 18–35 years, 36–64 years and 65 years and over. Waist circumference was also classified based on WHO-standard NCEP criteria and currently recommended ethnic-specific IDF criteria and analysis was done stratifying by gender and age groups. ^ Results: The prevalence of diabetes in this population was 14.6%, significantly higher in older age groups (25.8%) and males (19.2%). The prevalence of DM was statistically similar in individuals who were overweight/obese compared to those not overweight/obese, however in overweight/obese individuals, there was a statistically significant difference in the prevalence of DM between WHO and ethnic-specific criteria for both BMI and waist circumference. In older adults and in males, ethnic-specific criteria identified significantly more as overweight/obese compared to WHO-standard criteria. ^ Conclusions: Ethnic-specific criteria for both BMI and waist circumference give a better estimate for obesity in this South Asian Indian population. Diabetes is highly prevalent in migrant South Asian Indians even at low BMI or waist circumference levels and significantly more in males and older age groups, hence adequate awareness should be created for early prevention and intervention.^