34 research outputs found

    A Cross-Sectional Study of Prisoners in Mexico City Comparing Prevalence of Transmissible Infections and Chronic Diseases with That in the General Population.

    Get PDF
    ObjectivesTo describe patterns of transmissible infections, chronic illnesses, socio-demographic characteristics and risk behaviors in Mexico City prisons, including in comparison to the general population, to identify those currently needing healthcare and inform policy.Materials and methodsA cross-sectional study among 17,000 prisoners at 4 Mexico City prisons (June to December 2010). Participation was voluntary, confidential and based on informed consent. Participants were tested for HIV, Hepatitis B & C, syphilis, hypertension, obesity, and, if at risk, glucose and cholesterol. A subset completed a questionnaire on socio-demographic characteristics and risk behaviors. Positive results were delivered with counseling and treatment or referral.Results76.8% (15,517/20,196) of men and 92.9% (1,779/1,914) of women participated. Complete data sets were available for 98.8%. The following prevalence data were established for transmissible infections: HIV 0.7%; syphilis: Anti-TP+/VDRL+ 2.0%; Hepatitis B: HBcAb 2.8%, HBsAg 0.15%; Anti-HCV 3.2%. Obesity: 9.5% men, 33.8% women. Compared with national age- and sex-matched data, the relative prevalence was greater for HIV and syphilis among women, HIV and Hepatitis C in men, and all infections in younger participants. Obesity prevalence was similar for women and lower among male participants. The prevalence of previously diagnosed diabetes and hypertension was lower. Questionnaire data (1,934 men, 520 women) demonstrated lower educational levels, increased smoking and substance use compared to national data. High levels of non-sterile tattooing, physical abuse and histories of sexual violence were found.ConclusionThe study identified that health screening is acceptable to Mexico City prisoners and feasible on a large-scale. It demonstrated higher prevalence of HIV and other infections compared to national data, though low rates compared to international data. Individual participants benefited from earlier diagnosis, treatment and support. The data collected will also enable the formulation of improved policy for this vulnerable group

    Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE)

    Get PDF
    Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata

    Impact of common cardio-metabolic risk factors on fatal and non-fatal cardiovascular disease in Latin America and the Caribbean: an individual-level pooled analysis of 31 cohort studies

    Get PDF
    Background: Estimates of the burden of cardio-metabolic risk factors in Latin America and the Caribbean (LAC) rely on relative risks (RRs) from non-LAC countries. Whether these RRs apply to LAC remains un- known. Methods: We pooled LAC cohorts. We estimated RRs per unit of exposure to body mass index (BMI), systolic blood pressure (SBP), fasting plasma glucose (FPG), total cholesterol (TC) and non-HDL cholesterol on fatal (31 cohorts, n = 168,287) and non-fatal (13 cohorts, n = 27,554) cardiovascular diseases, adjusting for regression dilution bias. We used these RRs and national data on mean risk factor levels to estimate the number of cardiovascular deaths attributable to non-optimal levels of each risk factor. Results: Our RRs for SBP, FPG and TC were like those observed in cohorts conducted in high-income countries; however, for BMI, our RRs were consistently smaller in people below 75 years of age. Across risk factors, we observed smaller RRs among older ages. Non-optimal SBP was responsible for the largest number of attributable cardiovascular deaths ranging from 38 per 10 0,0 0 0 women and 54 men in Peru, to 261 (Dominica, women) and 282 (Guyana, men). For non-HDL cholesterol, the lowest attributable rate was for women in Peru (21) and men in Guatemala (25), and the largest in men (158) and women (142) from Guyana. Interpretation: RRs for BMI from studies conducted in high-income countries may overestimate disease burden metrics in LAC; conversely, RRs for SBP, FPG and TC from LAC cohorts are similar to those esti- mated from cohorts in high-income countries

    Diabetes in Mexico: cost and management of diabetes and its complications and challenges for health policy

    Get PDF
    BACKGROUND: Mexico has been experiencing some of the most rapid shifts ever recorded in dietary and physical activity patterns leading to obesity. Diabetes mellitus has played a crucial role causing nearly 14% of all deaths. We wanted to make a comprehensive study of the role of diabetes in terms of burden of disease, prevalence, cost of diabetes, cost of complications and health policy. METHOD: We review the quantitative data that provides evidence of the extent to which the Mexican health economy is affected by the disease and its complications. We then discuss the current situation of diabetes in Mexico with experts in the field. RESULTS: There was a significant increase in the prevalence of diabetes from 1994 to 2006 with rising direct costs (2006: outpatient USD717,764,787,inpatientUSD 717,764,787, inpatient USD 223,581,099) and indirect costs (2005: USD177,220,390),andrisingcostsofcomplications(2010:RetinopathyUSD 177,220,390), and rising costs of complications (2010: Retinopathy USD 10,323,421; Cardiovascular disease USD12,843,134;NephropathyUSD 12,843,134; Nephropathy USD 81,814,501; Neuropathy USD2,760,271;PeripheralvasculardiseaseUSD 2,760,271; Peripheral vascular disease USD 2,042,601). The health policy focused on screening and the creation of self-support groups across the country. CONCLUSIONS: The increasing diabetes mortality and lack of control among diagnosed patients make quality of treatment a major concern in Mexico. The growing prevalence of childhood and adult obesity and the metabolic syndrome suggest that the situation could be even worse in the coming years. The government has reacted strongly with national actions to address the growing burden posed by diabetes. However our research suggests that the prevalence and mortality of diabetes will continue to rise in the future

    Cross-Sectional Association between Length of Incarceration and Selected Risk Factors for Non-Communicable Chronic Diseases in Two Male Prisons of Mexico City

    Get PDF
    <div><p>Background</p><p>Mexico City prisons are characterized by overcrowded facilities and poor living conditions for housed prisoners. Chronic disease profile is characterized by low prevalence of self reported hypertension (2.5%) and diabetes (1.8%) compared to general population; 9.5% of male inmates were obese. There is limited evidence regarding on the exposure to prison environment over prisoner’s health status; particularly, on cardiovascular disease risk factors. The objective of this study is to assess the relationship between length of incarceration and selected risk factors for non-communicable chronic diseases (NCDs).</p><p>Methods and Findings</p><p>We performed a cross-sectional analysis using data from two large male prisons in Mexico City (n = 14,086). Using quantile regression models we assessed the relationship between length of incarceration and selected risk factors for NCDs; stratified analysis by age at admission to prison was performed. We found a significant negative trend in BMI and WC across incarceration length quintiles. BP had a significant positive trend with a percentage change increase around 5% mmHg. The greatest increase in systolic blood pressure was observed in the older age at admission group.</p><p>Conclusions</p><p>This analysis provides insight into the relationship between length of incarceration and four selected risk factors for NCDs; screening for high blood pressure should be guarantee in order to identify at risk individuals and linked to the prison’s health facility. It is important to assess prison environment features to approach potential risk for developing NCDs in this context.</p></div

    Inmates’ general characteristics, selected risk factors and type 2 diabetes risk factor questionnaire characteristics by prison facility.

    No full text
    <p>Inmates’ general characteristics, selected risk factors and type 2 diabetes risk factor questionnaire characteristics by prison facility.</p

    Median change per year of incarceration for the main outcomes; stratified by age at admission to the prison. (Quantile regression model estimates).

    No full text
    <p>BMI and WC models adjusted by current age, facility and interaction term between length of incarceration and facility. BP models adjusted by age, facility, BMI and interaction term between length of incarceration and facility.</p><p>Median change per year of incarceration for the main outcomes; stratified by age at admission to the prison. (Quantile regression model estimates).</p
    corecore