Application of Marginal Models to Identify Risk Factors of Childhood Stunting in Ethiopia

2021 ◽  
Author(s):  
Woldemariam Erkalo Gobena
Keyword(s):  
Risk Factors ◽  
Birth Interval ◽  
Age Groups ◽  
Wealth Index ◽  
Estimating Equation ◽  
Feeding Practice ◽  
Growth Monitoring ◽  
Marginal Models ◽  
Previous Birth ◽  
Childhood Stunting

Abstract Background: Child malnutrition is an underlying cause of almost half (45%) of child deaths, particularly in low socioeconomic communities of developing countries. In Ethiopia, the prevalence of stunting decreased from 47% in 2005 to 39% in 2016. Objective: The main objective of the study was identifying risk factors of stunting among under-five children in Ethiopia using marginal models.Methods: Data was taken from the EDHS 2016, which is a nationally representative survey of children in the 0-59 month age groups. Generalized estimating equation and alternating logistic regression models from marginal models family were used for the analysis. Results: The result of the analysis revealed that the variables child’s age, mother’s education level, mother’s body mass index, place of residence, wealth index and previous birth interval were found to be significant determinants of childhood stunting in Ethiopia and from the result it is revealed that children born with lower previous birth interval (less than 24 months) were more likely to be stunted than those born within higher birth interval. Children of rural Ethiopia were more likely to be stunted than children of urban Ethiopia. Conclusion: It is suggested that for reducing childhood malnutrition, due emphasis should be given in improving the knowledge and practice of parents on appropriate young child feeding practice and frequent growth monitoring together with appropriate and timely interventions.

scholarly journals Faktor risiko kejadian gizi buruk di Kabupaten Lombok Timur, Provinsi Nusa Tenggara Barat

2006 ◽  
Vol 2 (3) ◽  
pp. 108
Author(s):  
Khaerul Anwar ◽  
Muhammad Jufrrie ◽  
Madarina Julia
Keyword(s):  
Risk Factors ◽  
Maternal Education ◽  
Family Income ◽  
Family Characteristics ◽  
Severe Malnutrition ◽  
Feeding Practice ◽  
Growth Monitoring ◽  
Maternal Knowledge ◽  
Number Of Children ◽  
And Performance

Background: Despite numerous interventions, the preva- lence of severe malnutrition in under fives in the District of Lombok Timur during the last 5 years did not changed much and tended to increase.Objective: To assess risk factors for severe malnutrition, considered from points of view of family characteristics, children rearing practice and performance of posyandu, in 12 to 23 month-infants in the district.Methods: This was a case-control study. Cases were 65 severely malnourished children, while controls were a same number of children matched for age.Results:  In bivariate analyses, variables identified as risk factors of severe malnutrition are low family income, OR(95%CI) of 5.0 (1.9-13.5), p=0.001; low maternal education, OR(95%CI) of 2.3 (1.1-4.9), p=0.02; low maternal knowledge on growth monitoring, OR(95%CI) of 15.6 (4.4-55.1), p<0.001; not cared by mother, OR(95%CI) of 7.8 (1.7-36.5), p=0.003; low birth weight, OR(95%CI) of 5.7 (1.2-27.3), p=0.02; short duration of exclusive breastfeeding, OR(95%CI) of 2.6 (1.3-5.2), p=0.008; incomplete immunization, OR(95%CI) of 10.3 (2.3-46.9), p<0.001; and the children’s feeding practice, OR(95%CI) of 3.3 (1.5-7.4), p=0.004. In multiple logistic regression, only maternal knowledge on growth monitoring was significantly associated with the risk of severe malnutrition.Conclusion: Family characteristic and children rearing practice were important risk factors of severe malnutrition in Lombok Timur District. Performance of posyandu is not associated with occurrence of severe malnutrition.

scholarly journals Nutritional status and concomitant factors of stunting among pre-school children in Malda, India: A micro-level study using a multilevel approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rayhan Sk ◽  
Anuradha Banerjee ◽  
Md Juel Rana
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Nutritional Status ◽  
School Children ◽  
Birth Interval ◽  
Health Workers ◽  
Child Growth ◽  
Micro Level ◽  
Childhood Stunting

Abstract Background Malnutrition was the main cause of death among children below 5 years in every state of India in 2017. Despite several flagship programmes and schemes implemented by the Government of India, the latest edition of the Global Nutrition Report 2018 addressed that India tops in the number of stunted children, which is a matter of concern. Thus, a micro-level study was designed to know the level of nutritional status and to study this by various disaggregate levels, as well as to examine the risk factors of stunting among pre-school children aged 36–59 months in Malda. Method A primary cross-sectional quantitative survey was conducted using structured questionnaires following a multi-stage, stratified simple random sampling procedure in 2018. A sum of 731 mothers with at least one eligible child aged 36–59 months were the study participants. Anthropometric measures of children were collected following the WHO child growth standard. Children were classified as stunted, wasted, and underweight if their HAZ, WHZ, and WAZ scores, respectively, were less than −2SD. The random intercept multilevel logistic regression model has been employed to estimate the effects of possible risk factors on childhood stunting. Results The prevalence of stunting in the study area is 40% among children aged 36–59 months, which is a very high prevalence as per the WHO’s cut-off values (≥40%) for public health significance. Results of the multilevel analysis revealed that preceding birth interval, low birth weight, duration of breastfeeding, mother’s age at birth, mother’s education, and occupation are the associated risk factors of stunting. Among them, low birth weight (OR 2.22, 95% CI: 1.44–3.41) and bidi worker as mothers’ occupation (OR 1.92, 95% CI: 1.18–3.12) are the most influencing factors of stunting. Further, about 14 and 86% variation in stunting lie at community and child/household level, respectively. Conclusion Special attention needs to be placed on the modifiable risk factors of childhood stunting. Policy interventions should direct community health workers to encourage women as well as their male partners to increase birth interval using various family planning practices, provide extra care for low birth weight baby, that can help to reduce childhood stunting.

Family-, Media-, and School-Related Risk Factors of Video Game Addiction

2013 ◽  
Vol 25 (3) ◽  
pp. 118-128 ◽  
Author(s):  
Florian Rehbein ◽  
Dirk Baier
Keyword(s):  
Risk Factors ◽  
Video Game ◽  
Age Groups ◽  
Well Being ◽  
Epidemiological Studies ◽  
Prevention Measures ◽  
School Life ◽  
Video Game Addiction ◽  
Effective Prevention ◽  
Game Addiction

In recent years, a variety of epidemiological studies have provided empirical data on the prevalence of video game addiction (GA) in different age groups. However, few studies investigated the causes of GA and could explain why video game playing as a widespread phenomenon leads to a comparatively small percentage of addicted players. Additionally, the existing longitudinal studies mainly consider psychological trait variables and neglect the possible explanatory value of predictors in socialization regarding media availability, media use, and family and everyday school life. In this paper, the results of a two-wave longitudinal study comprising a sample of students from Grades 4 to 9 (N = 406) are presented. The data show that 15-year-old video game addicts had already exhibited a number of specific risk factors at the age of 10. Students from single-parent families seem to be particularly at risk, as are students with low experienced school well-being and with a weaker social integration in class. The data also indicate that problematic use of video games in childhood increases the risk of GA in adolescence. Male students are especially vulnerable for developing GA. The results of this study are an important contribution to understanding risk factors for GA in adolescents, thereby laying the groundwork for effective prevention measures.

scholarly journals Predicting COVID-19 mortality with electronic medical records

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hossein Estiri ◽  
Zachary H. Strasser ◽  
Jeffy G. Klann ◽  
Pourandokht Naseri ◽  
Kavishwar B. Wagholikar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Information ◽  
Age Groups ◽  
Prognostic Models ◽  
Smoking History ◽  
Risk Scores ◽  
Gradient Boosting ◽  
Chronic Obstructive ◽  
Clinical Expertise ◽  
History Of

AbstractThis study aims to predict death after COVID-19 using only the past medical information routinely collected in electronic health records (EHRs) and to understand the differences in risk factors across age groups. Combining computational methods and clinical expertise, we curated clusters that represent 46 clinical conditions as potential risk factors for death after a COVID-19 infection. We trained age-stratified generalized linear models (GLMs) with component-wise gradient boosting to predict the probability of death based on what we know from the patients before they contracted the virus. Despite only relying on previously documented demographics and comorbidities, our models demonstrated similar performance to other prognostic models that require an assortment of symptoms, laboratory values, and images at the time of diagnosis or during the course of the illness. In general, we found age as the most important predictor of mortality in COVID-19 patients. A history of pneumonia, which is rarely asked in typical epidemiology studies, was one of the most important risk factors for predicting COVID-19 mortality. A history of diabetes with complications and cancer (breast and prostate) were notable risk factors for patients between the ages of 45 and 65 years. In patients aged 65–85 years, diseases that affect the pulmonary system, including interstitial lung disease, chronic obstructive pulmonary disease, lung cancer, and a smoking history, were important for predicting mortality. The ability to compute precise individual-level risk scores exclusively based on the EHR is crucial for effectively allocating and distributing resources, such as prioritizing vaccination among the general population.

scholarly journals Femicide Fatal Risk Factors: A Last Decade Comparison between Italian Victims of Femicide by Age Groups

2020 ◽  
Vol 17 (21) ◽  
pp. 7953
Author(s):  
Anna Sorrentino ◽  
Chiara Guida ◽  
Vincenza Cinquegrana ◽  
Anna Costanza Baldry
Keyword(s):  
Risk Factors ◽  
Older Women ◽  
Violence Against Women ◽  
Age Differences ◽  
Policy Implication ◽  
Age Groups ◽  
Intimate Partner ◽  
International Studies ◽  
Wide Spread ◽  
Female Victims

Femicide is a wide-spread lethal form of violence against women. Despite its diffusion, to date, very few studies analyzed possible victims’ age differences in regard to fatal risk factors for femicide. To this aim, we carried out archive research on Italian femicide cases in the last decade, by comparing prior types of violence suffered and motives for femicide, which are considered crucial fatal risk factors for femicide, across adolescent/young (15–24 years), adults (25–64 years) and older women (65–93 years). From 2010 to 2019 we found 1207 female victims. Characteristics of victims, perpetrators, and their relationship were consistent with those found by international studies and underlined that the majority of femicides were perpetrated by an intimate partner. The results regarding fatal risk factors comparisons across age groups showed the existence of significant differences regarding both types of violence suffered prior to femicide and motives for femicide. The results are discussed in terms of policy implication and intervention.

scholarly journals Incidence of childhood injuries and modifiable household risk factors in rural Ghana: a multistage, cluster-randomised, population-based, household survey

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e039243
Author(s):  
Adam Gyedu ◽  
Barclay T Stewart ◽  
Easmon Otupiri ◽  
Kajal Mehta ◽  
Peter Donkor ◽  
...  
Keyword(s):  
Risk Factors ◽  
Protective Factor ◽  
Age Groups ◽  
Secondary Outcome ◽  
Older Children ◽  
Multilevel Regression ◽  
Sampling Weights ◽  
Effective Prevention ◽  
Childhood Injuries ◽  
Rural Ghana

ObjectiveWe aimed to describe the incidence of childhood household injuries and prevalence of modifiable household risk factors in rural Ghana to inform prevention initiatives.Setting357 randomly selected households in rural Ghana.ParticipantsCaregivers of children aged <5 years.Primary and secondary outcome measuresChildhood injuries that occurred within 6 months and 200 metres of the home that resulted in missed school/work, hospitalisation and/or death. Sampling weights were applied, injuries were described and multilevel regression was used to identify risk factors.ResultsCaregivers from 357 households had a mean age of 35 years (SD 12.8) and often supervised ≥2 children (51%). Households typically used biomass fuels (84%) on a cookstove outside the home (79%). Cookstoves were commonly <1 metre of the ground (95%). Weighted incidence of childhood injury was 542 per 1000 child-years. Falls (37%), lacerations (24%), burns (12%) and violence (12%) were common mechanisms. There were differences in mechanism across age groups (p<0.01), but no gender differences (p=0.25). Presence of older children in the home (OR 0.15, 95% CI 0.09 to 0.24; adjusted OR (aOR) 0.26, 95% CI 0.13 to 0.54) and cooking outside the home (OR 0.28, 95% CI 0.19 to 0.42; aOR 0.25, 95% CI 0.13 to 0.49) were protective against injury, but other common modifiable risk factors (eg, stove height, fuel type, secured cabinets) were not.ConclusionsChildhood injuries occurred frequently in rural Ghana. Several common modifiable household risk factors were not associated with an increase in household injuries. Presence of older children was a protective factor, suggesting that efforts to improve supervision of younger children might be effective prevention strategies.

scholarly journals Blood Donation-Related Adverse Reactions: Results of an Online Survey among Donors in Germany (2018)

2021 ◽  
pp. 1-11
Author(s):  
Stefano Orru’ ◽  
Kay Poetzsch ◽  
Marcus Hoffelner ◽  
Margarethe Heiden ◽  
Markus B. Funk ◽  
...  
Keyword(s):  
Risk Factors ◽  
Whole Blood ◽  
Online Survey ◽  
Adverse Reactions ◽  
Blood Donation ◽  
Age Groups ◽  
Female Gender ◽  
Online Questionnaire ◽  
Logistic Analysis ◽  
German Legislation

<b><i>Introduction:</i></b> According to German legislation, reports of suspected serious adverse reactions (AR) associated with the donation of blood and its components are continuously being evaluated by the Paul-Ehrlich-Institut. This survey aimed at providing a more complete picture of the AR associated with the donation of blood and blood components. <b><i>Materials and Methods:</i></b> Eligible donors had the opportunity to anonymously report all AR occurring during or after their last donation by completing an online questionnaire. Reported AR were classified according to the Standard for Surveillance of Complications Related to Blood Donation. Donors’ self-assessment of AR seriousness was compared with the official severity classification as laid down by German legislation. Besides a descriptive statistical analysis, a multiple logistic analysis was performed to identify risk factors for AR. <b><i>Results:</i></b> A total of 8,138 data records were evaluated. Slightly more males (57.9%) participated in the survey and, except for donors aged ≥60 years, all age groups were equally represented. The majority of participants were whole blood donors (85.4%), repeat donors (97.2%), and stayed under observation in the blood establishment (BE) for more than 5 min (63.1%) after donation. Most participants did not report any reaction (72.5%), whereas 2,237 reported at least one AR (27.5%), 475 of whom underwent apheresis and 1,762 donated whole blood. Most AR occurred after leaving the BE (64.4%). Only a minority of participants required medical treatment (5.1%) or assessed the experienced AR as serious (3.9%). The most frequently reported donor AR were haematoma and other local reactions (57.6%). Vasovagal reactions without and with loss of consciousness were developed in 17 and 2% of the participants, respectively, whilst 7.6% experienced citrate reactions. New AR (i.e., allergic reactions and symptoms associated with iron deficiency) were reported as well. The occurrence of AR was linked to risk factors (i.e., female gender, young age, first-time donation, and thrombocytapheresis). <b><i>Discussion:</i></b> This survey yielded a more comprehensive AR spectrum, revealed a prolonged time to symptom onset, and identified risk factors for AR. This novel information could be implemented in an amended informed consent addressing common and rare AR.

scholarly journals A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Fatemeh Hashemi Amin ◽  
Mahtab Ghaemi ◽  
Sayyed Mostafa Mostafavi ◽  
Ladan Goshayeshi ◽  
Khadijeh Rezaei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Dietary Habits ◽  
Age Groups ◽  
Geographical Location ◽  
Geographical Information ◽  
Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

Sign in / Sign up

Export Citation Format

Share Document