Prevalence and correlates of self-reported state of teeth among schoolchildren in Kerala, India

BACKGROUND: Oral health status in India is traditionally evaluated using clinical indices. There is growing interest to know how subjective measures relate to outcomes of oral health. The aims of the study were to assess the prevalence and correlates of self-reported state of teeth in 12-year-old schoolchildren in Kerala, India. METHODS: Cross-sectional survey data were used. The sample consisted of 838 12-year-old schoolchildren. Data was collected using clinical examination and questionnaire. The clinical oral health status was recorded using Decayed, Missing and Filled Teeth (DMFT) and Oral Hygiene Index – Simplified (OHI-S). The questionnaire included questions on sociodemographics, self reports of behaviour, knowledge and oral problems and a single-item measuring self-reported state and satisfaction with appearance of teeth. The Kappa values for test-retest of the questionnaire ranged from 0.55 to 0.97. RESULTS: Twenty-three per cent of the schoolchildren reported the state of teeth as bad. Multivariate logistic regression showed significant associations between schoolchildren who reported to have bad teeth and poor school performance (Odds Ratio (OR) = 2.5), having bad breath (OR = 2.4), food impaction (OR = 1.7) dental visits (OR = 1.6), being dissatisfied with appearance of teeth (OR = 4.2) and caries experience (OR = 1.7). The explained variance was highest when the variables dental visits, bleeding gums, bad breath, food impaction and satisfaction with appearance were introduced into the model (19%). CONCLUSION: A quarter of 12-year-olds reported having bad teeth. The self-reported bad state of teeth was associated with poor school performance, having bad breath and food impaction, having visited a dentist, being dissatisfied with teeth appearance and having caries experience. Information from self-reports of children might help in planning effective strategies to promote oral health

Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines

Abstract\ud \ud Background\ud Meat and egg-type chickens have been selected for several generations for different traits. Artificial and natural selection for different phenotypes can change frequency of genetic variants, leaving particular genomic footprints throghtout the genome. Thus, the aims of this study were to sequence 28 chickens from two Brazilian lines (meat and white egg-type) and use this information to characterize genome-wide genetic variations, identify putative regions under selection using Fst method, and find putative pathways under selection.\ud \ud \ud Results\ud A total of 13.93 million SNPs and 1.36 million INDELs were identified, with more variants detected from the broiler (meat-type) line. Although most were located in non-coding regions, we identified 7255 intolerant non-synonymous SNPs, 512 stopgain/loss SNPs, 1381 frameshift and 1094 non-frameshift INDELs that may alter protein functions. Genes harboring intolerant non-synonymous SNPs affected metabolic pathways related mainly to reproduction and endocrine systems in the white-egg layer line, and lipid metabolism and metabolic diseases in the broiler line. Fst analysis in sliding windows, using SNPs and INDELs separately, identified over 300 putative regions of selection overlapping with more than 250 genes. For the first time in chicken, INDEL variants were considered for selection signature analysis, showing high level of correlation in results between SNP and INDEL data. The putative regions of selection signatures revealed interesting candidate genes and pathways related to important phenotypic traits in chicken, such as lipid metabolism, growth, reproduction, and cardiac development.\ud \ud \ud Conclusions\ud In this study, Fst method was applied to identify high confidence putative regions under selection, providing novel insights into selection footprints that can help elucidate the functional mechanisms underlying different phenotypic traits relevant to meat and egg-type chicken lines. In addition, we generated a large catalog of line-specific and common genetic variants from a Brazilian broiler and a white egg layer line that can be used for genomic studies involving association analysis with phenotypes of economic interest to the poultry industry.CB received a fellowship from the program Science Without Borders - National Council for Scientific and Technological Development (CNPq, grant 370620/2013–5). GCMM and TFG received fellowships from São Paulo Research Foundation (FAPESP, grants 14/21380–9 and 15/00616–7). LLC is recipient of productivity fellowship from CNPq. This project was funded by São Paulo Research Foundation (FAPESP) - thematic project (2014/08704–0)

Depression is linked to uncontrolled hypertension: a case-control study from Karachi, Pakistan.

Background: High blood pressure is an important risk factor for cardiovascular disease and may be more prevalent in persons with psychopathology. Objective: To determine the association between uncontrolled hypertension with depressive and anxiety disorders in two tertiary care centers in Karachi. Methods: It was a case–control study conducted in two hospitals in Karachi. Cases were patients with uncontrolled hypertension and controls were patients with controlled hypertension. History of anxiety or depression as measured by Hospital Anxiety and Depression Scale (HADS) was the exposure. HADS of 48 was suggestive of having anxiety or depression. Results: A total of 700 participants were approached, out of whom 590 fulfilled the inclusion criteria and consented to participate, 323 (54.7%) participants were enrolled as cases and 267 (45.3%) as controls. Mean (SD) age was 54.98 (12.38) years, 229 (38%) were males. Odds ratio (OR) (95% CI) of having uncontrolled hypertension and being depressed (HADS-D48) was 2.02 (1.44–2.83), p value 0.001. The association remained significant even after adjusting for age and gender in Model 1 OR (95% CI): 1.82 (1.27–2.60), p value ¼ 0.001, ethinicity and education in Model 2 OR (95% CI): 1.87 (1.29–2.71), p value ¼ 0.001 and comorbids, history of hospitalization body mass index in Model 3 OR (95% CI): 1.94 (1.31–2.85), p value ¼ 0.001. Conclusion: There is association between uncontrolled hypertension and depression that is independent of sociodemographic factors, comorbids and history of hospitalization