scholarly journals Factors influencing desired number of children among Ethiopian women: Application of count regression models.

2019 ◽  
Author(s):  
Habitu Liyew Molla ◽  
Essey Kebede Muluneh
Keyword(s):  
Family Size ◽  
Women's Education ◽  
Regression Models ◽  
Wealth Index ◽  
Reproductive Age ◽  
Number Of Children ◽  
First Marriage ◽  
Factors Influencing ◽  
Age At First Marriage ◽  
Desired Family Size

Abstract Background: Desired family size, the number of children wanted in one’s lifetime, is one of the major factors influencing the population dynamics. Knowledge of factors influencing the desired family size is crucial in regulating the population growth. This study assesses the desired family size and its determinants among Ethiopian women. Methods: The study was based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total of 13,941 women with complete information were considered in the study. Count regression models, a family of generalized linear models, were used to identify determinant factors for the desired number of children among women in Ethiopia. Results: Results showed that the average number of children per women was 4.5. The highest average was recorded in Somali region (10.58) and the lowest in Addis Ababa city administration (3.56). The random intercept negative binomial regression model was found to be the most appropriate model for the data. Women’s age, household head, contraception using, wealth index, women’s education, religion, marital status, husband’s work, family size and age at first marriage were significantly associated with the desired number of children by women at reproductive age. The study also showed that there was significant regional variation in desired number of children among Ethiopian women. Conclusions: Variables such as women’s age and family size were positively associated with the desired number of children by women at reproductive age while age at first marriage, contraception using, wealth index and women’s education were negatively associated with the desired number of children by women. Women who attained higher level of education preferred small family size compared to women with no formal education. Desire for children was high among mothers from rural areas, women in the poorest economic level and woman having no work. Keywords: Desired number of children, statistical weight, EDHS, Count regression models, multilevel analysis.

MULTILEVEL LINEAR REGRESSION ANALYSIS OF FACTORS INFLUENCING BODY MASS INDEX AMONG BANGLADESHI MARRIED NON-PREGNANT WOMEN

2016 ◽  
Vol 49 (4) ◽  
pp. 498-508 ◽  
Author(s):  
Md Kamruzzaman ◽  
A. S. M. A. Mamun ◽  
Sheikh Muhammad Abu Bakar ◽  
Aik Saw ◽  
T. Kamarul ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Reproductive Age ◽  
Cluster Effect ◽  
Women Of Reproductive Age ◽  
First Marriage ◽  
Factors Influencing ◽  
Age At First Marriage

SummaryThe aim of this study was to investigate the socioeconomic and demographic factors influencing the body mass index (BMI) of non-pregnant married Bangladeshi women of reproductive age. Secondary (Hierarchy) data from the 2011 Bangladesh Demographic and Health Survey, collected using two-stage stratified cluster sampling, were used. Two-level linear regression analysis was performed to remove the cluster effect of the variables. The mean BMI of married non-pregnant Bangladeshi women was 21.60±3.86 kg/m2, and the prevalence of underweight, overweight and obesity was 22.8%, 14.9% and 3.2%, respectively. After removing the cluster effect, age and age at first marriage were found to be positively (p<0.01) related with BMI. Number of children was negatively related with women’s BMI. Lower BMI was especially found among women from rural areas and poor families, with an uneducated husband, with no television at home and who were currently breast-feeding. Age, total children ever born, age at first marriage, type of residence, education level, level of husband’s education, wealth index, having a television at home and practising breast-feeding were found to be important predictors for the BMI of married Bangladeshi non-pregnant women of reproductive age. This information could be used to identify sections of the Bangladeshi population that require special attention, and to develop more effective strategies to resolve the problem of malnutrition.

scholarly journals Spatial distribution and determinants of undernutrition among reproductive age women of Ethiopia: A multilevel analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257664
Author(s):  
Ayenew Kassie Tesema ◽  
Alemneh Mekuriaw Liyew ◽  
Adugnaw Zeleke Alem ◽  
Yigizie Yeshaw ◽  
Getayeneh Antehunegn Tesema ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Wealth Index ◽  
Reproductive Age ◽  
Food Storage ◽  
Dietary Intakes ◽  
Tigray Region ◽  
Maternal Undernutrition ◽  
First Marriage ◽  
Reproductive Age Women ◽  
Age At First Marriage

Introduction Malnutrition is one of the most devastating problems in Ethiopia and is inextricably linked with poverty. Women in the reproductive age group and children are most vulnerable to malnutrition due to low dietary intakes, inequitable distribution of food within the household, improper food storage and preparation, dietary taboos, infectious diseases, and care. Therefore, this study aimed to assess the spatial distribution and determinants of undernutrition among reproductive age of Ethiopia. Methods The study was based on the 2016 Ethiopian Demographic and Health Survey. The study included a total sampled weight of 15,139 women aged 15–49 years. The ArcGIS version 10.7 and SaTScan version 9.6 statistical software were used for exploring the spatial distribution of undernutrition. A multilevel logistic regression model was fitted to determine the individual and community level factors associated with women undernutrition. Finally, the factors which were significant at 95% confidence interval were reported. Result The spatial analysis revealed that women undernutrition was significantly varied across the country. The SaTScan analysis identified a total of 144 significant hotspot areas of maternal undernutrition with three significant spatial windows. Of these, 134 clusters were primary. The primary spatial window was identified in the southeast Tigray, northwest Afar, central and north Amhara regions (LLR = 57.48, P<0.01, RR = 1.51). Age at first marriage (AOR = 1.57: CI 1.33, 1.99), middle wealth index (AOR = 3.15: CI 1.4, 6.97), rural residence (AOR = 2.82: CI 1.22, 6.52), being in Afar region, Tigray region and Harari region (AOR = 4.88: CI 1.71, 13.91), (AOR = 4.17: CI 1.57, 11.06) and (AOR = 3.01: CI 1.05, 8.68) respectively were significantly associated with women undernutrition. Conclusion In Ethiopia, undernutrition had significant spatial variations across the country. Residence, age at first marriage, wealth index and region were significantly associated with undernutrition. Therefore, public health interventions that reduce reproductive age women undernutrition and enhance women awareness towards undernutrition in hotspot areas of undernutrition is crucial.

scholarly journals DETERMINANT FACTORS OF FERTILITY IN REPRODUCTIVE AGE WOMEN IN WEST JAVA PROVINCE INDONESIA

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Rindang Ekawati ◽  
Laili Rahayuwati ◽  
Ikeu Nurhidayah ◽  
Habsyah Saparidah Agustina ◽  
Endah Rahayu
Keyword(s):  
National Development ◽  
Wealth Index ◽  
Fertility Rate ◽  
Reproductive Age ◽  
Elderly Age ◽  
West Java ◽  
Significance Level ◽  
Number Of Children ◽  
Population Policies ◽  
First Marriage

The target of the 2015 Medium-Term National Development Plan is the fertility rate of 2.1 children. However, based on The Indonesian National Demographic and Health Survey 2017, the fertility rate of West Java Province is similar to the national, which is 2.4 children. West Java is a barometer of the national fertility rate since one-fifth of Indonesia's population is in West Java. This study aims to analyze the factors that influence fertility (number of children ever born). Data derived from the 2018 Survey of Accountability Programs Performance covered 12,350 women aged 15-49 years. Eligible sample was 9,814 ever married women. The statistical test utilized univariate, bivariate, and multivariate (significance level p=0.05). Bivariate results found that five variables that affected fertility were the age of first marriage, frequency of marriage, use of contraceptive, ideal family size, and wealth index, while the area of residence was not related to fertility. Indeed there are three most dominant factors that have been related to fertility were age of first marriage, frequency of marriage, and use of contraceptive. The conclusion was that women who marry at an elderly age and use contraception have lower fertility rates.  This study can be considered in population policies.

IDEAL VERSUS ACTUAL: THE CONTRADICTION IN NUMBER OF CHILDREN BORN TO NIGERIAN WOMEN

2010 ◽  
Vol 43 (2) ◽  
pp. 233-245 ◽  
Author(s):  
LATIFAT IBISOMI ◽  
STEPHEN GYIMAH ◽  
KANYIVA MUINDI ◽  
JONES ADJEI
Keyword(s):  
Family Size ◽  
Child Death ◽  
Demographic And Health Surveys ◽  
Nigerian Women ◽  
Number Of Children ◽  
Fertility Desires ◽  
Poor Households ◽  
The Difference ◽  
Desired Family Size ◽  
Late Childbearing

SummaryAlthough desired family size is often different from actual family size, the dynamics of this difference are not well understood. This paper examines the patterns and determinants of the difference between desired and actual number of children (unmet fertility desires) among women aged 15–49 years using pooled data from the 1990, 1999 and 2003 Nigeria Demographic and Health Surveys (NDHSs). The results show that more than two-thirds of the sample have unmet fertility desires (18.1% have more while 52.4% have fewer than desired). It was found that early and late childbearing increased the odds of unmet fertility desires. Also, women with low levels of education, from poor households, rural residents as well as those who had experienced child death were at a higher risk of unmet fertility desires in the multivariate context. The study highlights the policy and programme implications of the findings.

Occupation and Divorce

1985 ◽  
Vol 6 (3) ◽  
pp. 347-357 ◽  
Author(s):  
THEODORE N. GREENSTEIN
Keyword(s):  
Occupational Prestige ◽  
Marriage Education ◽  
Transport Equipment ◽  
Occupational Category ◽  
Social Surveys ◽  
Number Of Children ◽  
Female Workers ◽  
First Marriage ◽  
Age At First Marriage ◽  
Males And Females

Analyses of the combined General Social Surveys for 1972-1983 are used to estimate propensity to divorce (proportion of ever-married persons who have ever been divorced or legally separated) for major occupational categories and for selected occupations. Separate analyses for males and females show significant estimated effects of occupation on propensity to divorce even when occupational prestige, age, age at first marriage, income, education, and number of children are statistically controlled. Contrary to the findings of previous studies, male professional and technical workers do not have the lowest propensity to divorce. Propensity to divorce for male professional and technical workers, when adjusted for income, occupational prestige, age, age at first marriage, education, and number of children, is higher than for any occupational category except transport equipment operatives. For female workers, on the other hand, professional and technical workers do have the lowest propensity to divorce among nonfarm workers.

MARRIAGE STRUCTURE AND CONTRACEPTION IN NIGER

1999 ◽  
Vol 31 (1) ◽  
pp. 93-104 ◽  
Author(s):  
SARA ANN PETERSON
Keyword(s):  
Birth Control ◽  
Social Factors ◽  
Multivariate Logistic Regression Model ◽  
Intention To Use ◽  
Multivariate Logistic Regression ◽  
Number Of Children ◽  
First Marriage ◽  
Age At First Marriage ◽  
Ideal Number ◽  
Marriage Structure

Analysis of the 1992 Niger Demographic and Health Survey showed that although roughly two-thirds of both polygamous and monogamous women approve of birth control, polygamous wives are less likely than monogamous wives to discuss family size or birth control with their husband or to plan on using birth control. The study suggests that characteristics of polygamous couples have caused polygamous women to be more resistant to birth control use than monogamous women. The polygamous women tended to be married to older men who had not gone to primary school and who desired more children than monogamous husbands. The influence of marital structure is not significantly associated with intention to use birth control when the husband's age and the wife's ideal number of children were controlled for in the multivariate logistic regression model suggesting that background social factors may be more influential. In fact, educational level and age at first marriage were significantly associated with attitudes towards birth control and also with marital structure.

scholarly journals Uterine prolapse and associated factors among reproductive age women in Dawro zone, southwest Ethiopia: a community based cross sectional study

2020 ◽  
Author(s):  
Abebe Sorsa Badacho ◽  
Mengistu Auro Lelu ◽  
Zegeye Gelan
Keyword(s):  
Logistic Regression ◽  
Uterine Prolapse ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Cross Sectional ◽  
First Marriage ◽  
Age At First Marriage ◽  
Assisted Delivery ◽  
History Of

Abstract Background: Uterine Prolapse is an important but one of the most neglected public health problems causing maternal morbidity and mortality among women of reproductive age in developing countries including Ethiopia. However, yet few data are available with respect to uterine prolapse. The objective of this study was to assess the prevalence of, and factors associated with uterine prolapse among women of reproductive age.Methods: A community based cross-sectional study was conducted in Loma Woreda, Dawro southwest Ethiopia, from November to December 2019. A total of 422 randomly selected women of reproductive age were participated in the study. Data were collected by face-to-face interview with pre-structured questionnaire and clinical diagnoses were carried out. Epi data 3.2.1 and SPSS version 24 were used for data entry, processing and analysis. Binary Logistic regression was used to find out the association between dependent and independent variables. Variables with P-value less than 0.25 in bivariate logistic regression were further examined using multivariate logistic regression to investigate an association between dependent variable and independent variables. Results: The mean age of the respondents was 35.4 years (±7.994 SD). This study identified that the prevalence of symptomatic and anatomical uterine prolapse was 6.6 %(28) and 5.9%(25) respectively. The prevalence of anatomical prolapse was used as a reference when determining the associated factors. Age at first marriage (AOR: 0.25, 95%CI (0.07, 0.89), place of delivery (AOR: 3.33, 95%CI (1.21, 9.13), birth attendant assisted delivery (AOR 0.21; 95%CI (0.06, 0.71) and history of abortion (AOR: 2.94, 95%CI (1.08, 7.97) were found to have significantly and independently associated with prevalence of uterine prolapse. Conclusion: Uterine prolapse is common among women of reproductive age group age at first marriage, place of delivery, birth attendant assisted delivery, and history of abortion were found to be independent predictors of prevalence of uterine prolapse.

scholarly journals Determinants of desire for more children among women in Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mitiku Wale Muluneh ◽  
Yikeber Abebaw Moyehodie
Keyword(s):  
Formal Education ◽  
Binary Logistic Regression ◽  
Odds Ratios ◽  
Binary Logistic Regression Model ◽  
Number Of Children ◽  
First Marriage ◽  
Age At First Marriage ◽  
Catholic Religion ◽  
Ideal Number ◽  
Living Children

Abstract Background Desire for more children has an impact on couple’s fertility behaviors. It can be a precursor of actual fertility performance. However, the desire for more children is declining over time in Ethiopia. Therefore, this study aimed to identifying the determinants of the desire for more children among women in Ethiopia. Methods The 2016 Ethiopian Demographic and Health Survey data were used for the analysis. The sample consisted of 15,683 women. The binary logistic regression model was used to assess the determinants of desire for more children among women in Ethiopia. The results are presented as crude odds ratios (COR) and adjusted odds ratios (AOR) together with their corresponding 95% confidence intervals. Results No education (having no formal education) (AOR = 1.85, 95% CI 1.61–2.13), attained primary education (AOR = 1.62, 95% CI 1.43–1.83), age at first marriage 10–19 years (AOR = 1.80, 95% CI 1.27–2.54), Orthodox religion (AOR = 1.48, 95% CI 1.01–2.19), Catholic religion (AOR = 2.15, 95% CI 1.17–3.97), Muslim religion (AOR = 1.70, 95% CI 1.15–2.50), living in Amhara (AOR = 1.45, 95% CI 1.18–1.78), Oromia (AOR = 2.10, 95% CI 1.73–2.54), Benishangul (AOR = 1.17, 95% CI 1.01–1.45), SNNPR (AOR = 1.30, 95% CI 1.05–1.60), Gambela (AOR = 1.25, 95% CI 1.02–1.57), Harari (AOR = 2.24, 95% CI 1.82–2.76), ideal number of children four or fewer (AOR = 0.47, 95% CI 0.42–0.53), number of living children four or fewer (AOR = 2.12, 95% CI 1.90–2.37), and not use of contraceptives (AOR = 1.51, 95% CI 1.35–1.68) were associated with a higher desire for more children. Conclusion This finding showed that the age of women, educational level, age at first marriage, religion, region, occupation, ideal number of children, number of living children, and use of contraceptives were significant determinants of desire for more children. Therefore, it is important to adopt programs to encourage the desire for more children, implement policies in an attempt to increase the total fertility rate in Ethiopia ought to critically consider these factors. Moreover, continuous education and knowledge on reproductive health will help for better fertility behaviour for the women.

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