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Demographic and anthropometrical analysis and genotype distribution of chronic hepatitis C patients treated in public and private reference centers in Brazil.

Hepatitis C virus (HCV) infection is a serious public health problem, since 80% to 85% of HCV carriers develop a persistent infection that can progress into liver cirrhosis and hepatocarcinoma. Considering that the response of hepatitis C patients to combination therapy with interferon and ribavirin depends on HCV characteristics as well as on host features, we made a retrospective analysis of demographic and anthropometrical data and HCV genotype distribution of chronic hepatitis C patients treated in public and private reference centers in Brazil. The medical records of 4,996 patients were reviewed, 81% from public and 19% from private institutions. Patients' median age was 46 years, and there was a higher prevalence of male (62%) and white patients (80%). The analysis of HCV-infecting strains showed a predominance of genotype 1 (64%) over genotypes 2 and 3. The patients' mean weight was 70.6 kg, and 65% of the patients weighed less than 77 kg. Overweight and obesity were observed in 37.8% and 13.6% of the patients, respectively. Since a body weight of 75 kg or less has been considered an independent factor that significantly increases the odds of achieving a sustained virological response, the Brazilian population seems to have a more favorable body weight profile to achieve a sustained response than the American and European populations. The finding that 65% of chronic hepatitis C patients have a body weight of 77 kg or less may have a positive pharmacoeconomic impact on the treatment of genotype 1 HCV patients with weight-based doses of peginterferon.

Adolescent↗

Spatio-temporal growth dynamics of a subAlpine Pinus uncinata stand in the French Alps.

Natural forests are characterised by a high level of both spatial and temporal heterogeneity. The major processes involved in the creation and maintenance of forest heterogeneity in temperate climates are small-sized canopy disturbances. The resulting openings also modify the growth conditions for the remaining trees. The analysis of tree growth responses using dendrochronological techniques allows the reconstruction of the time sequence of the disturbances. The radial growth analysis is coupled here with both a spatial analysis and a demographic analysis of the forest structure. The age classes are temporally organised in cohorts and spatially distributed in spatial aggregates. The analysis of the most documented disturbance event allowed us to determine the size of the disturbance response patch (between 0.036 and 0.073 ha) and the duration of the disturbance (six years). We considered that this small-scale disturbance event may have been caused by the fall of a single tree and has freed the surrounding trees of its competition.

Altitude↗

Predicting "charge outliers" after spinal cord injury: a multicenter analysis of demographics, injury characteristics, outcomes, and rehabilitation charges.

OBJECTIVE: To describe the distribution of charges, to distinguish between "charge outliers" and nonoutliers, and to identify a model that uses demographics and injury characteristics to predict charge outlier status in individuals with spinal cord injury (SCI). DESIGN: Retrospective data analysis of patients admitted to 24 acute inpatient rehabilitation national Spinal Cord Injury Model Systems centers. Statistical analysis, including proportions, means, and standard deviations (SDs), were compiled for the following variables: demographic and injury information, rehabilitation charges, medical complications, associated injuries, and surgical procedures. SETTING: Tertiary, university medical centers participating in the National Institute on Disability and Rehabilitation Research's SCI Model Systems project. PARTICIPANTS: A total of 13,392 patients who were admitted to 24 acute, intensive, interdisciplinary rehabilitation settings after traumatic SCI between November 1972 and August 1996. MAIN OUTCOME MEASURES: Statistical data analysis was used to determine significance between charge outliers and nonoutliers on the basis of demographic, injury characteristics, and clinical factors. Outliers, under the current diagnostic-related group system, are defined as cases in which lengths of stay exceed the mean by the lesser of 20 days or 1.94 SDs. RESULTS: Statistically significant differences were found between SCI charge outliers and nonoutliers based on ethnicity, education, employment, level of injury, American Spinal Injury Association impairment classification, and sponsor of hospitalization. On average, outliers were 4 years older than nonoutliers, and tended to have more associated injuries, pressure ulcers, surgical procedures, and medical complications. A forward-conditional stepwise multiple logistic regression analysis was used to confirm univariate analysis and to predict the presence or absence of outliers based on the predictor variables. A model for the prediction of SCI charge outlier status was defined. CONCLUSIONS: SCI charge outliers are most likely to be retired, insured, have high cervical level injuries, and be educated beyond high school. Improved treatment efficiency serves as a means of cost reduction and is a reason to identify outlier characteristics.

Adolescent↗

Misinformation and misbeliefs in the Tuskegee Study of Untreated Syphilis fuel mistrust in the healthcare system.

The Tuskegee Study of Untreated Syphilis (TSUS) is an important issue in research, healthcare, ethics and race relations. The assumed consequences of knowledge of this study on the African-American community include mistrust of the healthcare system. In the July 2005 issue of the Journal of the National Medical Association, Brandon, Isaac and LaVeist (the authors), who were at the Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, reported the results of black-white differences in awareness of and knowledge about the TSUS and the effect of that awareness and knowledge on medical mistrust. The study surveyed blacks, whites and others in the Baltimore, MD community about their knowledge of and attitudes about the TSUS. The respondents who were aware of the TSUS were asked survey items to assess specific factual information about the TSUS. The respondents who were not aware of the TSUS were read a brief description of the TSUS taken from the CDC website. Both groups were asked if a similar study was possible today. The authors performed a regression analysis of mistrust of medical care based on race, knowledge of the TSUS and demographic variables. The editorial identified and explained challenges in the article, i.e., challenges in calculations, demographic analysis by race, knowledge of TSUS, cultural sensitivity and methodology. The authors miscalculated the "similar proportions" of blacks and whites who were aware of the TSUS; the recalculated proportions, favoring whites, were different than reported by others. There was no demographic analysis by race in their article--also different than other published reports. Most respondents--blacks and whites--who were aware of the TSUS at baseline answered incorrectly the author-selected questions about the TSUS, particularly the fact-based question of whether the TSUS researchers gave syphilis to the men-not dissimilar to one other report. The source for TSUS information (the CDC website) that was used to educate respondents who were not aware of the TSUS at baseline had contradictions, errors and challenges in black history, medical and public health history, and women's studies. The content of what was actually read to respondents was unknown. Proportionally more whites who were not aware of the TSUS but who were read author-selected information about the TSUS believed that a similar study could happen today-a belief and possibly mistrust of medical care that appeared to be induced-compared to whites with prestudy awareness of the TSUS but not read information from the CDC website. Both black groups were not dissimilar from each other. The authors used a survey that measured a race difference in response to a medical event (TSUS) specific to only one racial group (blacks) when there were inclusive examples specific to other groups available. The authors used "Tuskegee" as a single-word sound bite for the TSUS--a misuse that was inappropriate in scientific and research discourse and that may fuel mistrust of medical care. Whether knowledge of the TSUS was a predictor of mistrust of the healthcare system was inconclusive based on the results in the authors' article. The core findings of the article made believing their case difficult. The editorial suggested that bias and misinformation in undertaking, analysis and reporting the study may in itself fuel mistrust in medical care in the community. Because of these challenges, the editorial urged caution with regard to any change in research direction or policy debate based on the results reported in the article.

Adult↗

Long-acting reversible contraception, condom use and sexually transmitted infections in developing countries: a multi-country serial cross-sectional analysis using demographic and health surveys.

INTRODUCTION: Unintended pregnancy and sexually transmitted infections (STIs) are major public health issues in developing countries. While long-acting reversible contraception (LARC) effectively prevents unintended pregnancy, there is limited evidence from large multinational studies on its association with condom use and STI-related outcomes. This study aimed to investigate the association between LARC use, condom use and STIs among women in developing countries. METHODS: This serial cross-sectional study extracted data from Demographic and Health Surveys (DHS), a series of nationally representative household surveys conducted in developing countries. The analysis included women aged 15 to 49 years, with data on contraceptive methods and demographics. Generalised linear mixed effect models (GLMMs) were used to estimate adjusted prevalence ratios (aPRs) for condom use and self-reported STI-related outcomes, comparing LARC users with both non-LARC users and oral contraceptive users. Subgroup analyses were conducted at the individual level and at the country level. RESULTS: Data from 2 171 884 women across 31 countries were analysed. Overall, the prevalence of self-reported STI-related outcomes was 7.4%, 3.9% of participants used LARC, and 7.5% of participants reported consistent condom use. LARC users were significantly less likely to use condoms compared with non-LARC users (aPR=0.40, 95% CI 0.30 to 0.53) and compared with oral contraceptive users (aPR=0.61, 95% CI 0.48 to 0.78). LARC use was associated with a higher prevalence of STI-related outcomes compared with non-LARC users (aPR=1.19, 95% CI 1.10 to 1.28) and compared with oral contraceptives users (aPR=1.14, 95% CI 1.05 to 1.24). Associations were stronger in low-Human Development Index (HDI) countries, especially among younger women (15-19 years), but were not significant in high-HDI countries. Country-level heterogeneity was observed. CONCLUSIONS: LARC use is associated with reduced condom use and higher self-reported STI prevalence, particularly among younger women and in lower HDI developing countries. These findings support integrating STI prevention into LARC services and promoting dual-method use to prevent both unintended pregnancies and STIs.

Humans↗

The importance of demographics in economic analysis: the unusual suspects.

"The proper use of demographic information can add significantly to the ability to analyze and forecast economic activity. With housing, short-run forecasting is difficult and long-term forecasting impossible without considering changing demographic factors. Combining detailed demographic analysis with sound structural econometric modeling of the cyclical factors underlying the demand for and the supply of housing has resulted in significantly more accurate analyses and forecasts of the [U.S.] housing market."

Americas↗

WHO/ISBRA Study on State and Trait Markers of Alcohol Use and Dependence: analysis of demographic, behavioral, physiologic, and drinking variables that contribute to dependence and seeking treatment. International Society on Biomedical Research on Alcoholism.

BACKGROUND: Discussions between the World Health Organization (WHO) and the International Society on Biomedical Research on Alcoholism (ISBRA) identified the need for a multiple-center international study on state and trait markers of alcohol abuse and alcohol dependence. The reasoning behind the generation of such a project included the need to understand the alcohol use characteristics of diverse populations and the performance of biological markers of alcohol use in a variety of settings throughout the world. A second major reason for initiating this study was to collect DNA for well-structured and stratified association studies between genetic markers and/or "candidate" genes and behavioral/physiological phenotypes of importance to predisposition to alcohol dependence. METHODS: An extensive interview instrument was developed with leadership from the U.S. National Institute on Alcohol Abuse and Alcoholism (NIAAA). The instrument was translated from English to Finnish, French, German, Japanese, and Portuguese (Brazilian). One thousand eight hundred sixty-three subjects were recruited at five clinical centers (Montreal, Canada; Helsinki, Finland; Sapporo, Japan; São Paulo, Brazil; and Sydney, Australia). The subjects responded to the structured interview and provided blood and urine samples for biochemical analysis. This article focuses on the demographic characteristics of the study subjects, their drinking habits, alcohol-dependence characteristics, comorbid psychiatric and other drug variables, and predictors for seeking treatment for alcohol dependence. Multiple logistic regression models were constructed and used to explore variables that contribute to various levels of alcohol consumption, to a diagnosis of alcohol dependence, and to seeking treatment for alcohol dependence. ANOVA with post hoc comparisons, chi2, and Pearson moment calculations were used as necessary to assess additional relationships between variables. RESULTS: A number of factors previously noted in disparate studies were confirmed in our analysis. Men consumed more alcohol than women, Asians consumed less alcohol than whites or Blacks, alcohol-dependent subjects consumed more alcohol than nondependent subjects, alcohol consumption increased with age, and an increased level of education (university or postgraduate education) reduced the percentage of such individuals in the category designated as heavy drinkers (>210 g alcohol/week) and in the group who were currently in treatment for dependence. However, our analysis allowed for much more detailed comparisons; for example, although men drank more than women on a g/day basis, the differences were less pronounced on g/kg/day basis, and alcohol-dependent women drank equal amounts of alcohol as alcohol-dependent men on a g/kg/day basis. Antisocial personality characteristics or reports of trouble sleeping when an individual stops drinking were associated with higher alcohol intake. The most important of the tested factors that contributed to a DSM-IV diagnosis of dependence, however, was the report of anxiety if an individual stopped drinking. In terms of the various criteria within the DSM-IV criteria for alcohol dependence, no one criterion seemed to be prominent for individuals who sought alcohol dependence treatment, but the higher the number of criteria met by the individual, the higher was the probability that he or she would be in treatment. CONCLUSIONS: This initial report is the beginning of the "data mining" of this rich data set. The cross-national/cross-cultural aspects of this study allowed for multiple comparisons of variables across several ethnic/racial groups and allowed for assessment of biochemical markers for alcohol intake and predisposition to alcohol dependence in diverse settings.

Adult↗

The contemporary demography of indigenous Australians.

"Increased public policy focus on indigenous Australians over the past 30 years has resulted in a substantial expansion of demographic analysis over the same period. This paper reviews these efforts and summarizes the main topics, findings and debates. The accumulated evidence points to both demographic change and continuity. Change: in that mortality has declined; fertility levels have been much reduced; urbanization has burgeoned and population growth has entered a phase of rapid increase. Continuity: because mortality is still much higher than the Australian average; fertility remains at a level well above that reported for all women; most individuals still live away from major cities; and the estimation of overall numbers still hinges on a social construction of identity."

Australia↗

[Multivariate analysis of demographic parameters of the population].

Strong associations between demographic parameters characterizing age, ethnic composition, and migrational processes in the population have been revealed by means of multivariate methods (correlation and cluster analyses; the method of principal components). Formation of the demographic structure of a population has been shown to be related to these associations, their directions and strength. In the long term, these associations determine features of subdivision (territorial, hierarchic, etc.) of the demographic structure of a particular population.

Age Distribution↗

Spotlight on teenage pregnancy--defining the demographics and the family planning requirements.

This study aims to provide a demographic analysis of teenage pregnancy and a needs-assessment for teenage family planning. A questionnaire was sent to all teenage mothers delivered in 2000 in Waterford Regional Hospital (WRH), and demographic analysis was performed. There were 118 teenage pregnancies, only 88% were primigravid, and 24% were aged <17 years. The response rate was 43%. The uptake of contraception before pregnancy was 74%, (42% using barrier methods only), and post-partum, the uptake was 98%, (12% barrier methods). The majority of teenagers (72%) prefer to attend the General Practitioner, preferably with an out-of-hours, weekday service. Teenage family planning is an area of need, particularly in the younger teen-years and following a pregnancy. We have shown how this can be addressed.

Adolescent↗

[Causality, systems, and dynamic models. Three approaches of the explanation in demography].

The authors compare three methods of demographic analysis: "causal analysis, the transition models and the dynamic models. The purpose of these three approaches is not the same: transition models examine the transformation of a system during a given period; the dynamic model outlines the evolution of a social process through time; the causal analysis describes the mechanism through which the causes produce its effects. The three approaches differ also in the way they take time into account...[In particular,] causal static models are not pertinent in demographic research." (SUMMARY IN ENG)

Demography↗

Survival in systemic lupus erythematosus. A multivariate analysis of demographic factors.

We analyzed survival rate and important clinical outcomes in 411 patients with systemic lupus erythematosus who were seen at our center between 1969 and 1984. All eligible subjects met 4 of the revised American Rheumatism Association criteria for systemic lupus erythematosus and all were seen within 2 years of diagnosis. Mean followup was 75.6 months. Multivariate analysis suggested significant independent effects of race (P = 0.0139) and socioeconomic status (P = 0.0326) on survival. No evidence of diminished lupus-related mortality with age was documented. Previously reported findings of improved survival rate with age may have been confounded by differences in race distribution between the younger- and older-onset groups.

Adult↗

Sexual Coercion in India: an exploratory analysis using demographic variables.

A 14-item Sexual Coercion Inventory (SCI) was administered to an urban university sample in Western India. Twenty-six percent of the sample reported a total of 160 incidents of sexual coercion ranging in severity from unwanted kissing to sexual intercourse. The most common outcome was intercourse and was followed by kissing and fondling. No gender differences were discovered regarding victim status or types of coercion tactics experienced. A MANOVA analysis found no overall gender effect, but marital status and protected class membership did have a significant effect with people who are married and protected class members reporting more sexual coercion. Reasons for the lack of an overall gender effect and limitations of this research are discussed.

Adult↗

Epidemiology of tuberculosis in North Carolina, 1966 to 1986: analysis of demographic features, geographic variation, AIDS, migrant workers, and site of infection.

We analyzed all cases of tuberculosis reported in North Carolina between 1966 and 1986, and related the incidence rate of tuberculosis (per 100,000 population) to age (0 to 4 years, 7.59; 5 to 14 years, 3.44; 15 to 24 years, 6.30; 25 to 44 years, 15.92; 45 to 64 years, 33.85; greater than 65 years, 51.54), race (white 9.03, nonwhite 47.40), and gender (male 25.49, female 11.25). Over the 21-year study period the annual number of cases declined from 1,248 to 711 (43%), and the incidence rate from 25.56 to 11.25 (56%). Although the incidence rate of tuberculosis fell for all subgroups, nonwhites continued to have an incidence rate 3.2 to 22.5 times higher than whites, depending on age. The standardized morbidity ratio (SMR) (by age, race, and gender) of tuberculosis in the eastern region of North Carolina was nearly twice that of the western region and unexplainable by its demographics. Between 1983 and 1986 only a small percentage of cases of tuberculosis in North Carolina were accounted for by migrant farm workers (1.7% to 2.7%) and patients with the acquired immunodeficiency syndrome (less than 1%). Tuberculosis is increasingly a disease of the elderly, especially nonwhite men. Tuberculosis is a geographically and demographically focal disease in North Carolina, and preventive strategies should be appropriately targeted.

Acquired Immunodeficiency Syndrome↗

The need for consumer behavior analysis in health care coverage decisions.

Demographic analysis has been the primary form of analysis connected with health care coverage decisions. This paper reviews past demographic research and shows the need to use behavioral analyses for health care coverage policy decisions. A behavioral model based research study is presented and a case is made for integrated study into why consumers make health care coverage decisions.

Arkansas↗

Microsatellite analysis of demographic genetic structure in fragmented populations of the tropical tree Symphonia globulifera.

We developed genetic markers for three microsatellite loci in the tropical tree Symphonia globulifera and used them to examine the demographic genetic consequences of forest fragmentation. High levels of genetic variation were revealed in samples of adults, saplings, and seedlings. The more-variable loci exhibited less stability in allelic composition across sites and stages. The number of alleles per hectare (ha) of forest was similar when continuous forest plots were compared to plots from fragmented forest for all three stages. This pattern also held for the number of unique multilocus adult and sapling genotypes, but the number of unique seedling genotypes per ha of fragmented forest greatly exceeded expectations based on continuous forest data, probably due to the concentration of seeds into remnant forest patches by foraging bats. Significant inbreeding and genetic differentiation were most often associated with the fragmented forest and the seedlings. Finally, principal component analysis reaffirmed that a bottleneck, acting in concert with pre-existing genetic structure in the adults, had led to enhanced and rapid divergence in the seedlings following deforestation, a result that is of central interest for landscape management.

Age Factors↗

[A biographical approach to demography].

The merits of a biographical approach to demographic analysis are examined using survey data. "The analysis of complex interaction between diverse phenomena, using bivariate or multivariate models has been elaborated, and it allows the discovery of various types of dependence between events (reciprocal or unilateral) or of their independence. At this stage, heterogeneity of the observed populations was introduced, with the help of parametric or semi-parametric models, which point out the different strategies followed. The problems caused by non-observed heterogeneity have been partially solved but interdisciplinary collaboration would now appear to be necessary." (SUMMARY IN ENG AND GER AND SPA)

Demography↗