Screening Low-Income Women of Reproductive Age for Cardiovascular Disease Risk Factors

Identifying and treating chronic diseases, their precursors, and other cardiovascular disease (CVD) risk factors during family planning visits may improve long-term health and reproductive outcomes among low-income women. A cross-sectional study design was used to describe the prevalence of chronic diseases (hypertension, high cholesterol, and diabetes), their precursors (pre-hypertension, borderline high cholesterol, and pre-diabetes), and related CVD risk factors (such as obesity, smoking, and physical inactivity) among low-income women of reproductive age

Screening Low-Income Women of Reproductive Age for Cardiovascular Disease Risk Factors

BACKGROUND: Identifying and treating chronic diseases, their precursors, and other cardiovascular disease (CVD) risk factors during family planning visits may improve long-term health and reproductive outcomes among low-income women. A cross-sectional study design was used to describe the prevalence of chronic diseases (hypertension, high cholesterol, and diabetes), their precursors (pre-hypertension, borderline high cholesterol, and pre-diabetes), and related CVD risk factors (such as obesity, smoking, and physical inactivity) among low-income women of reproductive age. METHODS: Prevalence of chronic diseases, their precursors, and related CVD risk factors were assessed for 462 out of 859 (53.8%) female family planning patients, ages 18–44 years, who attended a Title X clinic in eastern North Carolina during 2011 and 2012 and consented to participate. Data were obtained from clinical measurements, blood test results, and questionnaire. Differences in distribution of demographic and health care characteristics and CVD risk factors by presence of prehypertension and pre-diabetes were assessed by Pearson chi-square tests. RESULTS: The prevalence of hypertension was 12%, high cholesterol 16%, and diabetes 3%. Nearly two-thirds of women with hypertension were newly diagnosed (62%) as were 75% of women with diabetes. The prevalence of pre-hypertension was 35%, pre-diabetes 31%, obesity 41%, smoking 32%, and physical inactivity 42%. The majority of participants (87%) had one or more chronic disease or related cardiovascular disease risk factor. CONCLUSIONS: CVD screening during family planning visits can identify significant numbers of women at risk for poor pregnancy outcomes and future chronic disease and can provide prevention opportunities if effective interventions are available and acceptable to this population

Evolution of genes and genomes on the Drosophila phylogeny

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species

Evolution of genes and genomes on the Drosophila phylogeny

Affiliations des auteurs : cf page 216 de l'articleInternational audienceComparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species