Literature DB >> 23408274

Statistical analysis of the different factors affecting the diarrhea.

Qamruz Zaman1, Imtiaz Khan.   

Abstract

Diarrhea is a worldwide problem facing both developing countries and developed countries, especially in pediatric population. Because of shortage of health facilities and lack of good food in developing countries, it is known fact that developing countries are facing this death taking problem more. The main purpose of this study was to examine the various factors which affect the recovery time of diarrhea. A multiple linear regression was applied to analyze the data and to select a model. The response variable for the study was the recovery time of diarrhea. The results of the analysis show that the Zinc is the main factor which affect the recovery time in Peshawar.

Entities:  

Keywords:  Diarrhea; Multiple Regression; Sex.; Zinc

Year:  2011        PMID: 23408274      PMCID: PMC3564179          DOI: 10.5455/aim.2011.19.158-160

Source DB:  PubMed          Journal:  Acta Inform Med        ISSN: 0353-8109


INTRODUCTION

Looseness of the bowels with watery of discharges is called diarrhea. The problem is more common in developing countries due to the shortage of health facilities and lack of good food. Diarrhea causes rapid reduction of water and sodium- if the water and salts are not replaced fast, the body starts to remove water or dry up or get dehy drated all of which are the lost contents of water and salt essential for a normal body function. Diarrhea is the most dangerous disease and is responsible for comparatively maximum deaths ratio among child’s death. Though the mortality rate for children under five suffering from acute diarrhea has fallen from 4.5 million deaths annually in 1979 to 1.6 million deaths in 2002, acute diarrhea contibutes to a high that toll on children in developing countries (1). Over two million children die as a result of diarrhea and dehydration every year (2). In the light of the above statements it is obvious that diarrhea is the most severe and dangerous problem, especially in the pediatric population. Diarrhea may have different forms such as acute diarrhea, dysentery (blood in stool), or persistent diarrhea (lasting more than 14 days). Frequent use of antibiotics should be avoided. Anti-diarrhea drugs and anti-emetics should not be given to young children with either acute or persistent diarrhea since they medications do neither prevent dehydration nor improve nutritional status, and some have dangerous side effects. In many countries, children have a low intake of foods rich in readily absorbable zinc, such as liver, red meat, poultry, fish, oysters and crab. Diarrhea is typically more persistent and severe in infants and young children with malnutrition than in children who are not malnourished. Children with severe zinc deficiency commonly have chronic diarrhea, immune deficiency and growth retardation. Zinc can be produced in both syrup and tablet forms. Sazawal et al. (3) conducted a study to determine the effects of daily zinc supplementation on the duration and severity of diarrhea in pediatric population. In their study, a total of 937 children were included. Of these children, 462 received oral rehydration therapy. Children who received a daily oral preparation of zinc gluconate (20 mg of elemental zinc) had a 23 percent reduction in the risk of continued diarrhea, the mean number of watery stools decreased by 39 percent and the number of days with watery stools decreased by 21 percent. The authors concluded that zinc supplementation in this largely malnourished group of children was associated with a statistically significant in the severity and duration of diarrhea. Bhutta et al. (4) used Cox survival regression analysis to evaluate the overall effect of zinc on continuation of diarrhea and possible differential effects in subgroups divided by sex, age, weight-for-height, and initial plasma zinc concentration. In their study, dichotomous outcomes were analyzed by logistic regression. They concluded that zinc supplementation reduces the duration and severity of acute and persistent diarrhea. Lutfi’s (5) worked to evaluate the effect of daily zinc supplementation for 14 days on diarrhea duration, severity, and morbidity in children. In his study children were randomly assigned to zinc (n = 150) and control (n=130) groups and received dosages of 15-30 mg elemental zinc daily. His data indicated that supplementing children with acute diarrhea in Turkey with 3 Recommended Daily Allowances (RDA) of elemental zinc for 14 days improved neither diarrhea duration nor severity despite significant increments in plasma zinc. So far so many studies have been contacted through the world but no study has been based on the risk factors which affect the duration of diarrhea. This study is an attempt to find the risk factor which directly or indirectly affect the recovery time of diarrhea.

METHODS AND MATERIALS

The multiple linear regression procedure is used for the analysis of data. The multiple linear regression is an extension of linear regression. The multiple linear regression model consists of p explanatory variables and is written as Where ε, i = 1,2,...,n are independent normally distributed random variables with zero mean and constant variance σ2 β0,β1,β2,···β are parameters. In terms of matrix notations we can write the above model as The data of 1000 patients were collected from pediatric department Post Graduate Medical Institute Hayatabad Medical Complex Peshawar to examine the different factors which affect recovery time. Out of 1000 child patients, 500 used ORS with zinc and 500 used ORS without zinc. Zinc is considered as the binary variable and is represented by Zinc, age (in months) is continuous variable and represented by Age, weight (in kg) is continuous variable and is represented by Weight, height (in cm) is continuous variable and is represented by Height, sex is categorical (binary) variable and is represented by Sex, residence is categorical (binary) variable and is represented by Resi, and recovery time of diarrhea (in days), is also a continuous variable represented by ΥR φ , is a response variable (Dependent variable). In this study Z, A, W, H, S, and R are independent variables. The multiple regression model was used, for recovery time of diarrhea which has the following form By using the SPSS package the result of the analysis is given below The table gives the detail about the significance of variable. Basically, ANOVA in the above Table indicates that the independent variables were related to the dependent variable (since F was significant at P=0.0001). Furthermore we find that about 50% of the variation in dependent variable (Recovery Time of diarrhea) is explained by the six explanatory variables. Also, in the above Table, seven parameters are estimated: The intercept, or constant, term; the coefficient for Zinc (Zinc); The coefficient for Age (Age); the coefficient for Weight (Weight); The coefficient for Height (Height); the coefficient for Sex (Sex); The coefficient for Resident (Resi). Each parameter estimate was based on one degree of freedom. For each parameter estimate, a standard error was estimated along with a t-statistic and a P-value for the t-statistic. The t-statistic is simply the parameter estimate divided by its standard error, and it is based on the number of degrees of freedom for the error term. Table indicates that Zinc is significant at alpha=0.01 and is the cause effect of dependent variable Y or in simple words; Zinc is the variables bring changes in the dependent variable Y. Although at alpha=0.05 Sex is al so significant but not at 0.01.

DISCUSSION AND CONCLUSION

The results given in Table tells us that it was really Zinc (Zinc) and somewhat i.e. at 0.05 Sex(Sex) that caused the recovery time. The regression coefficient for Age (Age), Weight(Weight), Height(Height), and Resident(Resi) are not statistically significantly different from zero having respective P-values (P=0.6489, P=0.8474, P=0.3394, and P=0.8067). The fact that the intercept was not significantly different from zero is irrelevant here. The intercept merely tell us where the regression line (or plane, in this case) crosses the y-axis, and does not explain any variation. In our study, zinc is the only independent (explanatory) variable which is significant. The ANOVA technique provided the strong evidence of the significance of the zinc. Thus we infer that zinc is a strong explanatory variable and is a main cause in reducing the recovery time of diarrhea.
Table 1

Information about the risk factors (ANOVA)

  2 in total

1.  Therapeutic effects of oral zinc in acute and persistent diarrhea in children in developing countries: pooled analysis of randomized controlled trials.

Authors:  Z A Bhutta; S M Bird; R E Black; K H Brown; J M Gardner; A Hidayat; F Khatun; R Martorell; N X Ninh; M E Penny; J L Rosado; S K Roy; M Ruel; S Sazawal; A Shankar
Journal:  Am J Clin Nutr       Date:  2000-12       Impact factor: 7.045

2.  Impact of zinc supplementation in children with acute diarrhoea in Turkey.

Authors:  P Boran; G Tokuc; E Vagas; S Oktem; M K Gokduman
Journal:  Arch Dis Child       Date:  2005-12-14       Impact factor: 3.791

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.