Non-communicable diseases among children in Ghana: health and social concerns of parent/caregivers.

Background: Globally, there is a progressive rise in the burden of non-communicable diseases (NCDs). This paper examined the health and social concerns of parents/caregivers on in-patient care for children with NCDs in Ghana. Methods: This was a cross-sectional study in three large health facilities in Ghana (the largest in the South, the largest in the North and the largest in the Eastern part of Ghana. Data was collected with a structured questionnaire among 225 caregivers (≥18 years) of 149 children with NCDs in health facilities in the three regions. Data was analyzed with simple descriptive statistics. Results: Most caregivers 169(75.0%) were women, relatively young (median age 35years), mostly married and resided in urban areas. Sickle cell disease was the commonest NCD among the children. All 169(75.0%) caregivers believed children suffer NCDs because of sins of parents/ancestors, 29(12.9%) believed herbalists/spiritualists have insights into treating NCDs and 73(32.6%) have previously used herbs/traditional medicine for child's illness. NCD in children was a burden and caused financial difficulties for families. Most caregivers (>96.0%) indicated NCDs in children should be included in national health insurance benefits package and a comprehensive national NCD policy is needed. Conclusion: Absence of national NCD policy for children is a major challenge. The burden of care rests mainly on the parents/ caregivers. A national strategic intervention on the importance of awareness generation on the causes, risk factors, prevention and treatment of NCDs for families and communities is essential. Government support through national health and social policy initiatives are essential.

ALCOHOL AS A SOCIAL MEDIATOR AMONG UNIVERSITY STUDENTS

Objective: To identify the prevalence of alcohol consumption in Psychology students of a higher education institution in the city of Montes Claros, MG. Methods: Quantitative crosssectional descriptive research conducted from September to October 2014. The population consisted of 116 Psychology students from the city of Montes Claros, MG. Data were collected using the Alcohol Use Disorders Identification Test (AUDIT), the Inventário de Expectativas e Crenças Pessoais Acerca do Álcool – IECPA (Inventory of Expectations and Personal Beliefs about Alcohol), the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and the Escala de Satisfação com o Suporte Social – ESSS (Social Support Satisfaction Scale). Descriptive analysis of data was performed using SPSS 19.0. Results: The sample had a predominance of female gender (82.75%, n=96), pardos (65.51%, n=76) and single (60.34%, n=70) individuals. Regarding the AUDIT risk classification, it was found that 49.13% (n=57) of the respondents were in the level 4, considered alcohol dependence. They reported occasional use of alcohol, smoking and other substances, which refer to ASSIST level 1 classification, with 94.82% (n=110). Regarding the IECPA, 87.06% (n=101) of the individuals were classified as level 1, with low vulnerability to the effects of alcohol. As to the ESSS, 68.10% (n=79) of the students showed high social support. Conclusion: Regarding the sample studied, it was found a high prevalence of dependence on alcohol and other legal and illegal drugs.

Efficient representation of texture details in medical images by fusion of Ripplet and DDCT transformed images

Purpose: To evaluate and compare the performance of Ripplet Type-1 transform and directional discrete cosine transform (DDCT) and their combinations for improved representation of MRI images while preserving its fine features such as edges along the smooth curves and textures. Methods: In a novel image representation method based on fusion of Ripplet type-1 and conventional/directional DCT transforms, source images were enhanced in terms of visual quality using Ripplet and DDCT and their various combinations. The enhancement achieved was quantified on the basis of peak signal to noise ratio (PSNR), mean square error (MSE), structural content (SC), average difference (AD), maximum difference (MD), normalized cross correlation (NCC), and normalized absolute error (NAE). To determine the attributes of both transforms, these transforms were combined to represent the entire image as well. All the possible combinations were tested to present a complete study of combinations of the transforms and the contrasts were evaluated amongst all the combinations. Results: While using the direct combining method (DDCT) first and then the Ripplet method, a PSNR value of 32.3512 was obtained which is comparatively higher than the PSNR values of the other combinations. This novel designed technique gives PSNR value approximately equal to the PSNR’s of parent techniques. Along with this, it was able to preserve edge information, texture information and various other directional image features. The fusion of DDCT followed by the Ripplet reproduced the best images. Conclusion: The transformation of images using Ripplet followed by DDCT ensures a more efficient method for the representation of images with preservation of its fine details like edges and textures.