MALNUTRITION RISK FACTORS FOR UNDER FIVE YEARS IN TERUMAN BANTUL

2019 ◽  
Keyword(s):  
2019 ◽  
Author(s):  
Lloyd Sampa

BACKGROUND Anemia is a worldwide major problem known to affect people throughout the world. It has an adverse effect on both the social and economic development. The worldwide prevalence of anemia is 9% in developed nations. The global estimate indicates that 293.1 million of children under five years, approximately 43%, are anaemic worldwide and 28.5% of these children are found in sub Saharan Africa. In Zambia specifically Kasempa, no documented studies on prevalence have been done. Despite iron supplementation being given to pregnant women and the availability of blood transfusion. The burden of the disease remains high as determined by high mortality and morbidity. This study aims at determining the prevalence of anemia and the associated risk factors among under-five children at Mukinge Mission Hospital in Kasempa District. Knowledge of prevalence and the associated risk factors of anaemia will enhance early detection and timely management. OBJECTIVE 1.To determine the hemoglobin status of anaemia by its severity among anaemic under-five children admitted at Mukinge Mission Hospital. 2.To assess the association of anaemia with Malaria among under-five children admitted at Mukinge Mission Hospital. METHODS This was a retrospective study review of under-five children that were diagnosed and managed of Anemia at Mukinge Missions Hospital, over the period of period of 2015, 2017 and 2018. .Data of the variables of interest was extracted and analyzed using SPSS. RESULTS A sample population of 52 children was included in our study. The majority of the children were females 28 (53.8 %) and 24 (46.2 %) were Males. It was found that moderate and severe anaemia was 17.3% and 82.7 % respectively. Additionally, Majority of the anaemic children (75%) had Normocytic anaemia. The Pearson Chi square test revealed no statistical relationship between the variables; Malaria (p=0.58), Age (P=0.82), Gender (P=0.91). CONCLUSIONS According to our study, 39 (75%) had normal mean corpuscular volume which could suggest chronic diseases and sickle cell anemia. 11 (21.2%) had a low mean corpuscular volume indicating Microcytic anemia which could suggest diseases such as iron deficiency and thalassemia among many other causes. However, we were unable to determine the specific cause of anemia.


Public Health ◽  
1998 ◽  
Vol 112 (4) ◽  
pp. 233-236
Author(s):  
S P Zodpey ◽  
S G Deshpande ◽  
S N Ughade ◽  
A V Hinge ◽  
S N Shrikhande

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Stephen Omona ◽  
Geoffrey M. Malinga ◽  
Robert Opoke ◽  
Geoffrey Openy ◽  
Robert Opiro

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adeniyi Francis Fagbamigbe ◽  
A. Olalekan Uthman ◽  
Latifat Ibisomi

AbstractSeveral studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.


Author(s):  
Subal Kumar Pradhan ◽  
Sumanta Panigrahi ◽  
Pooja Sagar Padhi ◽  
Arjun Sajeev ◽  
Aravind Dharmaraj ◽  
...  

Author(s):  
Manthankumar N. Kapadiya

A quantitative approach was used to assess the knowledge regarding prevention and management of water borne diseases among mothers of under five children. Simple random sampling technique was used to select the mothers of under five children for study.100 samples collected from selected areas of mehsana. The duration of data collection was 1 day. The results of the study revealed that majority of the study sample (58.63%) have average knowledge regarding water borne diseases, 71.5% of the study sample having knowledge about causes and risk factors of Water borne diseases, 68.22% of the study sample having knowledge about prevention of Water borne diseases and 70.36% of the study sample having knowledge about management of Water borne diseases.


2020 ◽  
Author(s):  
Rafi Amir-ud-Din ◽  
Lubna Naz ◽  
Anila Rubi ◽  
Muhammad Usman ◽  
Umesh Ghimire

Abstract Background: Smaller or older maternal age, smaller inter-pregnancy birth interval, and higher birth order of the child are considered to be high-risk fertility behaviour (HRFB). Under-five mortality being disproportionately concentrated in Asia and Africa, this study analyses the association between HRFB and under-five mortality in selected Asian and African countries. Methods: This study used Integrated Public Microdata Series-Demographic and Health Surveys (IPUMS-DHS) data from 32 countries in Sub-Saharan Africa, Middle East, North Africa, and South Asia from 1986 to 2017 (N=1,467,728). Previous evidence hints at four markers of HRFB: women's age at the birth of index child <18 years or >34 years, smaller preceding birth interval (PBI) <24 months, and child's birth order >3. Using logistic regression, we analysed the change in the odds of under-five mortality as a result of i) exposure to HRFB individually, ii) exposure to any single HRFB risk factor, iii) exposure to multiple HRFB risk factors, and iv) exposure to specific combinations of HRFB risk factors. Results: Mother's age at the birth of index child <18 years and preceding birth interval (PBI) <24 months were significant risk factors of under-five mortality, while a child's birth order >3 was a protective factor against under-five mortality. Presence of any single HRFB was associated with 1.067 times higher risk of under-five mortality (OR = 1.067; 95% CI: 1.042 - 1.090; P < 0.001). Presence of multiple HRFBs was associated with 1.392 times higher risk of under-five mortality (OR = 1.392; 95% CI: 1.355 - 1.431; P < 0.001). Some specific combinations of risky fertility behaviour such as younger maternal age (<18 years) and smaller preceding birth interval (PBI <24) significantly increased the odds of under-five mortality.Conclusion: Younger maternal age and small preceding birth interval significantly increase the risk of under-five mortality. This highlights the need for effective legislation to curb child marriages and increased public investment in reproductive healthcare with a focus on higher contraceptive use for an optimal interpregnancy interval.


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