In many ways, children worldwide are considered to be fragile and sensitive, especially in health matters. Nutritional and malnutritional deficiencies typically affect children more than any other group. Bad nutrition exists both in developing countries, and in the world's more developed regions. According to the WHO Progress Report (2002), hunger and malnutrition remain the most crippling issues for the poor and vulnerable in the world. Malnutrition refers to a dietary deficit. Malnutrition is, thus, both a health consequence and a risk factor for illness. It can make morbidity and mortality more likely. Child malnutrition in developing countries in 2001 was associated with 54 per cent (10-8 million) child deaths. Worldwide, children under 5 years are considered to be vulnerable in health matters. Nutritional deficiencies typically have more effect on children than any other group. Malnutrition affects as many as 800 million people globally, and more than half of childhood deaths in developed countries are malnutrition-related (Benson and others 2004). About 30 per cent of mankind was suffering from one or more forms of malnutrition (WHO, 2000). According to the United Nations Standing Nutrition Committee (SCN). Malnutrition is the world's greatest single contributor to illness. According to the UNICEF report, in Ghana too many children suffer from health problems caused by malnutrition, which is the underlying cause of one third of all child deaths. In Ghana more than one out of five infants is stunted (suffering from chronic malnutrition). The situation in the northern region is worse, where 37% of children are stunted because of childhood malnutrition. Ghana Health Service (GHS) figures available on September 20, 2012 suggest that 12,000 children in Ghana die each year from malnutrition-related underweight ailments. Statistics also suggest that under nutrition, one out of thirteen (13) children in Ghana die before their fifth birthday mainly as an infant leads to around half of all deaths after early childhood under nutrition. Globally and locally, a number of efforts are being made to reduce the burden of malnutrition, especially in developing nations to which Ghana is no exception. Among other issues, the Fourth Millennium Development Goals (MDGs) target to reduce under five 2/3rd mortality by 2016. As a result, a variety of measures were placed in motion to ensure this is done. Encouraging exclusive breastfeeding, implementing the school feeding system, encouraging balanced

Modelling the Determinants of Babies Weight Using Quantile Regression in Bolgatanga Municipality 1. Background of the Study Traditionally, linear regression analyses have detected increasing trends in the incidence of overweight/obesity among new born babies. However, these previous regression methods were limited in their ability to capture crossdistribution variations among effects. Birth weight according to a USA National Library for Medicine is the first weight of a baby, taken just after he or she is born. How much a baby weights at birth can have a profound impact on the child's life? Babies who weigh less than 5.5 pounds at birth-the cutoff for the low birth weight-may face health challenges after birth including serious digestive issues, difficulty in breathing, and bleeding in the brain. Their risk of developing diabetes, heart diseases, high blood pressure and obesity later in life is also increased. High birth weight babies are those that weigh more than 8.8 pounds at birth and can also face an increased risk of obesity, diabetes, and high blood pressure in adulthood. Genetics certainly play a role in birth weight. Parental health therefore has a lot to do with babies' weight at birth, especially when factors such as high blood pressure, diabetes, heart diseases and the likes are not well checked. The prevalence of childhood obesity increased dramatically during the last decade in industrialized countries (Toschke et al., 2005). TV watching, formula feeding, smoking in pregnancy, maternal obesity, parental social class are well known environmental constitutional or socio-demographic risk factors (Toschke et al., 2005). However, it is uncertain as to whether these factors have effects on the entire weight distribution or just a part of it. Several data such as the birth weight data involves the analysis of highly skewed data. When a distribution of variables is highly skewed, it implies that the mean is sensitive to outliers and definitely not a good measure of central tendency. Quantile regression therefore is one method to analyze such data. Quantile regression as proposed by Koenker and Bassett (1978) has immerged as an important statistical approach for addressing the limitations of simple linear regression. Quantile regression model is a natural extension of the linear regression model estimating various conditional quantile functions. This offers a strategy for determining how the covariates influence the entire response distribution.

The main objective of this paper was to assess the impact personal banking has on customer satisfaction. Descriptive research design was used for the study. 185 participants mainly customers of the bank were chosen from the three branches of the bank. Statistical Package for Social Sciences was used to do the analysis. A relationship between personal banking services and customer satisfaction and loyalty was drawn using multiple regression. The analysis showed that personal banking services had influence on customers' satisfaction and loyalty. Waiting time and long queue was a concern for customers. Staff and customer relationship was not very encouraging. It is suggested that, more customer touch points should be made available within and outside the banking hall to facilitate fast service and reduce waiting time.

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Aims/ Objectives: The paper seeks to investigate the dynamic relationship between drivers licensing, vehicle registration, motorbike registration and accidents.Study Design: Cross-sectional study.Place and Duration of Study: The secondary data was collated on a monthly basis on Accidents, Driver license, Motor Registration and Vehicle Registration that spanned 9 years from January 2010 to December 2018 from the Upper East Regional Oce of the Drivers Vehicle and License Authority. Methodology: The data was analyzed using vector autoregression model to establish the dynamic relationship between the variables. The R and Eviews softwares were used in the analysis.Results: The ndings revealed that in the short-run and long-run neither Driver license, Vehicle Registration, Motor Registration none Accidents cannot in uence much on each other but experienced their own shock. Findings further ascertain that Accidents can granger cause vehicle registration to change but the remaining variable have no much in uence on accidents.Although, accidents can granger cause vehicle registration to change, the remaining variables had noin uence on accidents. The nding nally concluded that ARCH-LM test indicated that there was no ARCH eect present in the series implying that the Vector Autoregression model was appropriate to establish the dynamic relationship between the variables.