72 research outputs found

    Early Sex Work Initiation and Violence against Female Sex Workers in Mombasa, Kenya

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    Between 20 and 40 % of female sex workers (FSWs) began sex work before age 18. Little is known concerning whether early initiation of sex work impacts later experiences in adulthood, including violence victimization. This paper examines the relationship between early initiation of sex work and violence victimization during adulthood. The sample included 816 FSWs in Mombasa, Kenya, recruited from HIV prevention drop-in centers who were 18 years or older and moderate-risk drinkers. Early initiation was defined as beginning sex work at 17 or younger. Logistic regression modeled recent violence as a function of early initiation, adjusting for drop-in center, age, education, HIV status, supporting others, and childhood abuse. Twenty percent of the sample reported early initiation of sex work. Although both early initiators and other FSWs reported commonly experiencing recent violence, early initiators were significantly more likely to experience recent physical and sexual violence and verbal abuse from paying partners. Early initiation was not associated with physical or sexual violence from non-paying partners. Many FSWs begin sex work before age 18. Effective interventions focused on preventing this are needed. In addition, interventions are needed to prevent violence against all FSWs, in particular, those who initiated sex work during childhood or adolescence

    Early sex work initiation and condom use among alcohol-using female sex workers in Mombasa, Kenya: a cross-sectional analysis

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    Early initiation of sex work is prevalent among female sex workers (FSWs) worldwide. The objectives of this study were to investigate if early initiation of sex work was associated with: (1) consistent condom use, (2) condom negotiation self-efficacy or (3) condom use norms among alcohol-using FSWs in Mombasa, Kenya

    Un análisis multinivel de población y deforestación en el Parque Nacional Sierra de Lacandón (Petén, Guatemala)

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    Este estudio examina los factores demográficos asociados con la deforestación en el Parque Nacional Sierra de Lacandón (PNSL), Guatemala, utilizando un análisis de regresión multinivel. Más del 10% del PNSL ha sido deforestado desde mediados de la década de 1980, a causa del crecimiento demográfico de la población campesina y su subsiguiente manejo de la tierra. Utilizando un análisis de regresión múltiple de dos niveles, este estudio examina datos demográficos y otras características de los hogares para explicar variaciones en el bosque roturado entre 241 fincas agrícolas en ocho comunidades en el PNSL. Esta metodología, novedosa en el estudio de uso del suelo en los trópicos, toma en cuenta la variación espacial entre comunidades, así como entre hogares. Al usar modelos de multinivel, se puede llegar a resultados mejores sobre los impactos de los factores, tanto a nivel de comunidad como a nivel de hogar sobre la deforestación, con implicaciones más adecuadas para políticas de desarrollo.Aquest estudi examina els factors demogràfics associats amb la desforestació al Parc Nacional Sierra de Lacandon (PNSL), Guatemala, mitjançant una anàlisi de regressió multinivell. Més del 10 % del PNSL ha estat desforestat des de la meitat de la dècada de 1980, com a conseqüència del creixement demogràfic i les pràctiques de gestió agrícola. Utilitzant una anàlisi de regressió múltiple de dos nivells, aquest estudi examina dades demogràfiques i unes altres característiques de les llars per explicar variacions en el bosc artigat entre 241 finques agrícoles en vuit comunitats al PNSL. Aquesta metodologia té en compte la variació especial entre comunitats i entre llars, i abans no havia estat mai aplicada als tròpics. El model de regressió multinivell pot ajudar a explicar millor els impactes de factors propis de les comunitats i de les llars en la desforestació, per tant, pot contribuir a millorar les polítiques de desenvolupament.Cette étude a examiné les facteurs démographiques associés au phénomène de déforestation du Parc National Sierra de Lacandón (PNSL, Guatemala) en utilisant une analyse de régression multi-niveau. Depuis le milieu des années 1980, plus de 10 % du PNSL a été déboisé par la croissance démographique de la population rurale, son besoin en surface et l'utilisation variée de la terre. En utilisant une analyse de régression multiple de deux niveaux, cette étude examine des données démographiques et plusieurs caractéristiques liées aux exploitations, dans le but d'expliquer les variations dans le parc défriché entre 241 propriétés agricoles dans huit communautés du PNSL. Cette méthodologie, nouvelle dans l'étude de l'usage du sol dans les tropiques, prend en compte la variation spatiale entre des communautés ainsi que des exploitations. En utilisant ces modèles de multi-niveaux, on peut arriver à de meilleurs résultats concernant les impacts des facteurs au niveau des communautés et des exploitations concernant la déforestation, avec des résultats plus adapatées pour les politiques de développement.The paper examines depopulation factors associated with deforestation in the Natural park of the Sierra de Lacandón (PNSL), using multi-level regresión analysis. More than 10 percent of the park area has been deforested since the mid 1980s because of rural population growth and agricultural practices. By means of a two-level regression analysis the study use dem ographic and other household data to explain variations in deforested land in 241 agricultural estates in 8 communities of the PNSL. The methodology, not applied before in the tropics, takes into account spatial variations between communities and households. Multilvel regression allows for better results on the impacts of socioeconomic factors on deforestation, both at the community and at the household levels with important implications for development policies

    The impact of an alcohol harm reduction intervention on interpersonal violence and engagement in sex work among female sex workers in Mombasa, Kenya: Results from a randomized controlled trial

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    To evaluate whether an alcohol harm reduction intervention was associated with reduced interpersonal violence or engagement in sex work among female sex workers (FSWs) in Mombasa, Kenya

    Does maternal autonomy influence feeding practices and infant growth in rural India?

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    The high prevalence of child under-nutrition remains a profound challenge in the developing world. Maternal autonomy was examined as a determinant of breast feeding and infant growth in children 3 to 5 months of age. Cross-sectional baseline data on 600 mother-infant pairs were collected in 60 villages in rural Andhra Pradesh, India. The mothers were enrolled in a longitudinal randomized behavioral intervention trial. In addition to anthropometric and demographic measures, an autonomy questionnaire was administered to measure different dimensions of autonomy (e.g. decision-making, freedom of movement, financial autonomy, and acceptance of domestic violence). We conducted confirmatory factor analysis on maternal autonomy items and regression analyses on infant breast feeding and growth after adjusting for socioeconomic and demographic variables, and accounting for infant birth weight, infant morbidity, and maternal nutritional status. Results indicated that mothers with higher financial autonomy were more likely to breastfeed 3–5 month old infants. Mothers with higher participation in decision-making in households had infants that were less underweight and less wasted. These results suggest that improving maternal financial and decision-making autonomy could have a positive impact on infant feeding and growth outcomes

    Preconception Stress, Birth Weight, and Birth Weight Disparities Among US Women

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    Objectives. We examined the impact of preconception acute and chronic stressors on offspring birth weight and racial/ethnic birth weight disparities

    Neighborhood Disparities in Incident Hospitalized Myocardial Infarction in Four U.S. Communities: The ARIC Surveillance Study

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    Hospital-based surveillance of myocardial infarction (MI) in the United States (US) typically includes age, gender, and race, but not socioeconomic status (SES). We examined the association between neighborhood median household income (nINC) and incident hospitalized MI in four US communities (1993–2002)

    Redistribution of heart failure as the cause of death: the Atherosclerosis Risk in Communities Study

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    Background Heart failure is sometimes incorrectly listed as the underlying cause of death (UCD) on death certificates, thus compromising the accuracy and comparability of mortality statistics. Statistical redistribution of the UCD has been used to examine the effect of misclassification of the UCD attributed to heart failure, but sex- and race-specific redistribution of deaths on coronary heart disease (CHD) mortality in the United States has not been examined. Methods We used coarsened exact matching to infer the UCD of vital records with heart failure as the UCD from 1999 to 2010 for decedents 55 years old and older from states encompassing regions under surveillance by the Atherosclerosis Risk in Communities (ARIC) Study (Maryland, Minnesota, Mississippi, and North Carolina). Records with heart failure as the UCD were matched on decedent characteristics (five-year age groups, sex, race, education, year of death, and state) to records with heart failure listed among the multiple causes of death. Each heart failure death was then redistributed to plausible UCDs proportional to the frequency among matched records. Results After redistribution the proportion of deaths increased for CHD, chronic obstructive pulmonary disease, diabetes, hypertensive heart disease, and cardiomyopathy, P < 0.001. The percent increase in CHD mortality after redistribution was the highest in Mississippi (12%) and lowest in Maryland (1.6%), with variations by year, race, and sex. Redistribution proportions for CHD were similar to CHD death classification by a panel of expert reviewers in the ARIC study. Conclusions Redistribution of ill-defined UCD would improve the accuracy and comparability of mortality statistics used to allocate public health resources and monitor mortality trends
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