scholarly journals Accuracy Measure of Separate and Joint Modelling for a Correlated Binary Outcome: The Case Study of Mother Education and Immunization in Bangladesh

2021 ◽  
Keyword(s):  
Urban Areas ◽  
Maternal Education ◽  
Joint Modeling ◽  
Correlated Data ◽  
Binary Outcomes ◽  
Joint Modelling ◽  
Logistic Regression Models ◽  
Accuracy Measure ◽  
Mother Education ◽  
Different Response

Joint modelling is a statistical approach that is used to analyze correlated data when two or more outcome variables are correlated. By joint modeling, we refer to the simultaneous analysis of two or more different response variables from the same individual. But in a separate model, it is unable to measure the effect of covariate simultaneously. This article focuses on separate and joint modelling for correlated discrete data, including logistic regression models for binary outcomes. Since most of the women are illiterate in Bangladesh and most of the people are living in urban areas, as a result, most of the women are not aware of immunization. But an educated mother is always aware of her child's health which is dependent on immunization. Therefore, mother education and immunization are interdependent. We jointly address the effect of maternal education and immunization. Joint modeling of these two outcomes is appropriate because mother education helps raise awareness of the child's health and immunization is the prevention of various diseases for the child's health. We also identified factors influencing maternal education and immunization among women in Bangladesh. By jointly modelling we found the correlation between maternal education and immunization and the most important contributing factor. The joint model removes a less significant impact of covariates as opposed to separate models. These findings further suggested that the simultaneous impact of correlated outcomes can be adequately addressed between different responses, which is overestimated or underestimated when examined separately.

What Kind of People Use Carsharing for Commuting? Case Study in Shanghai

2019 ◽  
Vol 2673 (5) ◽  
pp. 770-778 ◽  
Author(s):  
Jianhong Ye ◽  
Daoge Wang ◽  
Hua Zhang ◽  
Hong Yang
Keyword(s):  
High Frequency ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
User Characteristics ◽  
Logistic Regression Models ◽  
Highly Educated ◽  
Suburban Areas ◽  
Commuting Mode ◽  
Study Offer

Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

Menstrual knowledge and perceptions of schoolgirls in Bangladesh: do socio-economic factors really matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gulsan Ara Parvin ◽  
Nina Takashino ◽  
Md. Shahidul Islam ◽  
Md. Habibur Rahman ◽  
Md. Anwarul Abedin ◽  
...  
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Family Income ◽  
Policy Formulation ◽  
Economic Factors ◽  
Content Type ◽  
Logistic Regression Models ◽  
Professional Occupation ◽  
Menstrual Knowledge ◽  
Socio Economic Factors

Purpose This study aims to explore whether socio-economic factors determine the level of menstrual knowledge and perceptions of schoolgirls in Bangladesh. The aim of this study is to understand how knowledge and perceptions vary with variations in the different socio-economic factors in a schoolgirl’s life such as place of residence, religion, age, grade, parents’ education, parents’ occupation, family income and even family size. Design/methodology/approach Data were collected from four schools (two in urban areas and two in rural areas). A total of 450 schoolgirls from grades V–X were interviewed to examine how knowledge and perceptions varied with different socio-economic aspects. Multiple logistic regression models were used to measure the associations between various socio-economic variables and perceptions of and knowledge about menstruation. Findings Respondents from urban areas were 4.75 times more likely and those 14–16 years old were two times more likely to report higher levels of knowledge about menstruation compared to their counterparts. Based on the father’s occupation, respondents whose father was engaged in a professional occupation were 1.983 times more likely to have a higher level of knowledge on menstruation compared to those whose fathers were in an unskilled profession. Similarly, the odds of positive perceptions on menstruation were 1.456 and 1.987 times higher, respectively, among respondents living in urban areas and those 14–16 years old, compared to their counterparts. Originality/value This study provides evidence that different socio-economic and even demographic factors are important in the development of menstrual knowledge and perceptions. Policy formulation and development actions related to adolescent girls’ physical and reproductive health development need to consider these factors in Bangladesh and in other developing countries, where poor knowledge and perception related to menstruation are hindering girls’ mental and physical development. This is expected that better knowledge and perception will facilitate girls’ right to have better health and social lives.

scholarly journals Trends in stunting and overweight in Peruvian pre-schoolers from 1991 to 2011: findings from the Demographic and Health Surveys

2014 ◽  
Vol 17 (11) ◽  
pp. 2407-2418 ◽  
Author(s):  
Helga Bjørnøy Urke ◽  
Maurice B Mittelmark ◽  
Martín Valdivia
Keyword(s):  
Urban Areas ◽  
Health Surveys ◽  
Maternal Education ◽  
Wealth Quintile ◽  
Household Wealth ◽  
Demographic And Health Surveys ◽  
Sampling Weights ◽  
Cross Sectional ◽  
Growth Standards ◽  
Low Educated

AbstractObjectiveTo examine trends in stunting and overweight in Peruvian children, using 2006 WHO Multicentre Growth Reference Study criteria.DesignTrend analyses using nationally representative cross-sectional surveys from Demographic and Health Surveys (1991–2011). We performed logistic regression analyses of stunting and overweight trends in sociodemographic groups (sex, age, urban–rural residence, region, maternal education and household wealth), adjusted for sampling design effects (strata, clusters and sampling weights).SettingPeru.SubjectsChildren aged 0–59 months surveyed in 1991–92 (n 7999), 1996 (n 14 877), 2000 (n 11 754), 2007–08 (n 8232) and 2011 (n 8186).ResultsChild stunting declined (F(1, 5149) = 174·8, P ≤ 0·00) and child overweight was stable in the period 1991–2011 (F(1, 5147) = 0·4, P ≤ 0·54). Over the study period, levels of stunting were highest in rural compared with urban areas, the Andean and Amazon regions compared with the Coast, among children of low-educated mothers and among children living in households in the poorest wealth quintile. The trend in overweight rose among males in coastal areas (F(1, 2250) = 4·779, P ≤ 0·029) and among males in the richest wealth quintile (F(1, 1730) = 5·458, P ≤ 0·020).ConclusionsThe 2011 levels of stunting and overweight were eight times and three and a half times higher, respectively, than the expected levels from the 2006 WHO growth standards. The trend over the study period in stunting declined in most sociodemographic subgroups. The trend in overweight was stable in most sociodemographic subgroups.

scholarly journals The Relationship between Self-Rated Economic Status and Falls among the Elderly in Shandong Province, China

2020 ◽  
Vol 17 (6) ◽  
pp. 2150
Author(s):  
Zhuang Hong ◽  
Lingzhong Xu ◽  
Jinling Zhou ◽  
Long Sun ◽  
Jiajia Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Urban Areas ◽  
Economic Status ◽  
The Elderly ◽  
Shandong Province ◽  
Prevention Measures ◽  
Logistic Regression Models ◽  
Economic Level ◽  
Significant Difference ◽  
The Relationship

(1) Background: Older people are more vulnerable and likely to have falls and the consequences of these falls place a heavy burden on individuals, families and society. Many factors directly or indirectly affect the prevalence of falls. The aims of this study were to understand the prevalence and risk factors of falls among the elderly in Shandong, China; the relationship between economic level and falls was also preliminary explored. (2) Methods: Using a multi-stage stratified sampling method, 7070 elderly people aged 60 and over were selected in Shandong Province, China. General characteristics and a self-rated economic status were collected through face to face interviews. Chi-square tests, rank sum tests and two logistic regression models were performed as the main statistical methods. (3) Results: 8.59% of participants reported that they had experienced at least one fall in the past half year. There was a significant difference in experienced falls regarding gender, residence, marital status, educational level, smoking, drinking, hypertension, diabetes, coronary disease, and self-reported hearing. The worse the self-rated economic status, the higher the risk of falling, (poor and worried about livelihood, OR = 3.60, 95%; CI = 1.76–7.35). (4) Conclusions: Women, hypertension, diabetes and self-reported hearing loss were identified as the risk factors of falls in the elderly. The difference of economic level affects the falls of the elderly in rural and urban areas. More fall prevention measures should be provided for the elderly in poverty.

scholarly journals Determinants of Childhood Anemia in India

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nkechi G. Onyeneho ◽  
Benjamin C. Ozumba ◽  
S. V. Subramanian
Keyword(s):  
Vitamin A ◽  
Maternal Education ◽  
Multinomial Logistic Regression ◽  
Linear Regression Analysis ◽  
Daily Intake ◽  
Wealth Index ◽  
Nutritional Intake ◽  
Logistic Regression Models ◽  
Iron Deficient ◽  
Childhood Anemia

Abstract We analyzed a sample of 112714 children from the 2015–2016 Indian National Fertility and Health Survey with available data on hemoglobin. Multinomial logistic regression models were used to establish associations between parent anemia, household characteristics and nutritional intake of children. Linear regression analysis was also conducted to see the link between the household characteristic and childhood nutritional intake on one hand and hemoglobin levels on the other hand. A number of socio-demographic factors, namely maternal age, type of residence and maternal education, as well as wealth index, among others correlate with incidence of childhood anemia. For instance, whereas 52.9% of children in the richest households were anemic, 63.2% of children in the poorest household were anemic (p < 0.001). Mean Vitamin A intake in the last six months was 0.63 (0.626–0.634) which was 0.18% of the recommended intake. Mean iron intake, from sources other than breast milk, in the last 24 hours was 0.29 (0.286–0.294) and 2.42% of the recommended daily intake. Fifty-nine percent (58.5%) of the children surveyed were anemic (Hb level: 9.75 g/dL [9.59–9.91]). Children with anemia were more prone to being iron deficient (odds ratio [OR]: 0.981 (0.961–1.001), Vitamin A deficient (OR: 0.813 (0.794–0.833)), and have lower maternal hemoglobin level (OR: 1.992 (1.957–2.027)). Combining nutritional supplementation and food-fortification programmes with reduction in maternal anemia and family poverty may yield optimal improvement of childhood anemia in India.

Neighbourhood Determinants of Caries Experience in Preschool Children: A Multilevel Study

2016 ◽  
Vol 50 (5) ◽  
pp. 455-461 ◽  
Author(s):  
M.C. Priesnitz ◽  
R.K. Celeste ◽  
M.J. Pereira ◽  
C.A. Pires ◽  
C.A. Feldens ◽  
...  
Keyword(s):  
Preschool Children ◽  
Dental Caries ◽  
Urban Areas ◽  
Maternal Education ◽  
Contextual Effect ◽  
Caries Experience ◽  
Contextual Variables ◽  
Treatment Access ◽  
Cross Sectional ◽  
Neighbourhood Level

Objectives: To investigate the association between neighbourhood factors and decayed, missing, and filled teeth (dmft) index among preschool children. Methods: The sample of this cross-sectional study comprised 1,110 children (0-5 years old) clustered in 16 official neighbourhoods of Canoas city, southern Brazil. Multilevel binomial models were used to estimate the association of contextual variables at neighbourhood level (Human Development Index, average income, and public primary health care units) with two oral health outcomes: decayed teeth (dt) and missing or filled teeth (mft), after adjusting for individual variables (gender, age, maternal education, equivalent household income logarithm, household, and point of care). Results: Overall, 24.9% of the sample had dental caries experience (dmft >0), and 92.3% of the dmft was untreated caries. There was no statistical significant association (p > 0.05) of contextual characteristics with the decay component. The teeth of children living in richer areas had 2.87 (95% CI: 1.05-7.86) times more chances of being treated (mft component). Variance attributed to neighbourhood level was estimated as 5.9% (p < 0.01) and 4.1% (p = 0.17) for dt and mft, respectively, in adjusted models. Conclusions: Intra-urban areas seem homogeneous, with small variability between neighbourhoods, having no contextual effect on untreated dental caries (dt). Contextual variables may influence treatment access (mft) through the use of dental services in preschool children.

ANALYSIS OF HEALTH SERVICES USE FOR RESPIRATORY ILLNESS IN INDONESIAN CHILDREN: IMPLICATIONS FOR POLICY

2004 ◽  
Vol 37 (2) ◽  
pp. 129-142 ◽  
Author(s):  
AMARDEEP THIND
Keyword(s):  
Managed Care ◽  
Health Services ◽  
Maternal Education ◽  
Multinomial Logistic Regression ◽  
Respiratory Illness ◽  
Health Services Use ◽  
Logistic Regression Models ◽  
Services Utilization ◽  
Indonesian Government ◽  
Care Plans

Respiratory illness continues to be a leading cause of paediatric morbidity and mortality in Indonesia. The Indonesian government is moving towards a more managed care-based approach as it reforms its health care system following the 1997 financial crisis. In order to better design contractual relationships between the payor and different providers, there needs to be a better understanding of the patterns and predictors of health services utilization for respiratory illness. This study uses the Indonesia Demographic and Health Survey to study the determinants of private, public and non-formal provider utilization for respiratory illness. Multinomial logistic regression models for predicting use were constructed using the Andersen Behavioural Model as the conceptual framework. The findings indicate that age, household size, maternal education, religion, the asset index, location and illness severity play a role in determining use of private, public or non-formal providers. The results indicate that from a policy perspective, the Indonesian government needs be inclusive rather than exclusive in the choice of providers that are contracted by the managed care plans, in order to safeguard the health of the under-five population.

scholarly journals Trends and determinants of undernutrition among young Kenyan children: Kenya Demographic and Health Survey; 1993, 1998, 2003 and 2008–2009

2012 ◽  
Vol 15 (9) ◽  
pp. 1715-1727 ◽  
Author(s):  
Peninah K Masibo ◽  
Donald Makoka
Keyword(s):  
Health Survey ◽  
Urban Areas ◽  
Child Nutrition ◽  
Maternal Education ◽  
Sampling Technique ◽  
Household Wealth ◽  
Demographic And Health Survey ◽  
Demographic And Health Surveys ◽  
Double Burden ◽  
Percentage Points

AbstractObjectiveTo report on the trends and determinants of undernutrition among children <5 years old in Kenya.DesignData from four nationwide Kenya Demographic and Health Surveys, conducted in 1993, 1998, 2003 and 2008–2009, were analysed. The Demographic and Health Survey utilizes a multistage stratified sampling technique.SettingNationwide covering rural and urban areas in Kenya.SubjectsThe analysis included 4757, 4433, 4892 and 4958 Kenyan children aged <5 years in 1993, 1998, 2003 and 2009–2009, respectively.ResultsThe prevalence of stunting decreased by 4·6 percentage points from 39·9 % in 1993 to 35·3 % in 2008–2009, while underweight decreased by 2·7 percentage points from 18·7 % in 1993 to 16·0 % in 2008–2009. The effects of household wealth, maternal education and current maternal nutritional status on child nutrition outcomes have changed dynamically in more recent years in Kenya. Inadequate hygiene facilities increased the likelihood of chronic undernutrition in at least three of the surveys. Small size of the child at birth, childhood diarrhoea and male gender increased the likelihood of undernutrition in at least three of the surveys. Childhood undernutrition occurred concurrently with maternal overnutrition in some households.ConclusionsThe analysis reveals a slow decline of undernutrition among young children in Kenya over the last three decades. However, stunting and underweight still remain of public health significance. There is evidence of an emerging trend of a malnutrition double burden demonstrated by stunted and underweight children whose mothers are overweight.

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