FERTILITY DESIRES OF YORUBA COUPLES OF SOUTH-WESTERN NIGERIA

2005 ◽  
Vol 38 (5) ◽  
pp. 605-624 ◽  
Author(s):  
KOLAWOLE AZEEZ OYEDIRAN
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Socioeconomic Background ◽  
Background Characteristics ◽  
Fertility Intention ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Fertility Desires ◽  
Fertility Reduction ◽  
Living Children

Using the matched wife–husband (763) sample from the data collected from Ogbomoso and Iseyin towns in Oyo State, Nigeria, this paper examines factors associated with couples’ fertility intention. The analysis used logistic regression models for predicting the effects of selected socioeconomic background characteristics on a couple’s fertility intention. Results indicate high levels of concurrence among husbands and wives on fertility intention. Where differences exist, husbands are more pronatalists than their wives. About 87% of pairs of partners reported similar fertility preferences. Of these couples, 59·5% wanted more children while only 27·8% reported otherwise. The logistic regression models indicated that a couple’s fertility intention was associated with age, education, place of residence, frequency of television-watching and number of living children. Therefore, programme interventions aimed at promoting fertility reduction in Nigeria should convey fertility regulation messages to both husbands and wives.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

scholarly journals Risk factors associated with stillbirth of piglets born from oxytocin-assisted parturitions

2020 ◽  
Vol 13 (10) ◽  
pp. 2172-2177
Author(s):  
Nguyen Hoai Nam ◽  
Peerapol Sukon
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Significant Risk ◽  
Gestation Length ◽  
Stillbirth Rate ◽  
Multivariate Logistic Regression ◽  
Crown Rump Length ◽  
Logistic Regression Models ◽  
Factors Associated

Aim: The present study aimed to investigate the effects of different risk factors on stillbirth of piglets born from oxytocin-assisted parturitions. Materials and Methods: Data were collected from a total of 1121 piglets born from 74 Landrace x Yorkshire crossbred sows from a herd. Logistic regression models were used to determine the associations between stillbirth and different risk factors including parity (1, 2, 3-5, and 6-10), gestation length (GL) (112-113, 114-116, and 117-119 days), litter size, birth order (BO), sex, birth interval (BI), cumulative farrowing duration, birth weight (BW), crown rump length, BW deviation, body mass index, ponderal index (PI), and the use of oxytocin during expulsive stage of farrowing. Results: The incidence of stillbirth at litter level and stillbirth rate was 59.5% (44/74) and 8.1% (89/1094), respectively. The final multivariate logistic regression selected BO, BI, PI, GL, and parity as the five most significant risk factors for stillbirth. Increased BO and BI, GL <114 and >116 days, parity 6-10, and low PI increased the stillbirth rate in piglets. Conclusion: Several factors previously determined as risks for stillbirth in exogenous oxytocin-free parturitions also existed in exogenous oxytocin-assisted parturitions. One dose of oxytocin at fairly high BO did not increase stillbirth, whereas two doses of oxytocin were potentially associated with increased values.

What Do Québec Children Eat During Their First Six Months?

2004 ◽  
Vol 65 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Marie-Claire Lepage ◽  
Jocelyne Moisan ◽  
Michel Gaudet
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Family Income ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Mineral Supplements ◽  
Factors Associated ◽  
Birth Factors ◽  
Primiparous Women ◽  
Breast Fed

Study objectives were to describe the introduction of foods and beverages and the use of vitamin and/or mineral supplements among infants aged six months, and to identify factors associated with following Québec recommendations on introducing foods and beverages. Study subjects were primiparous women interviewed by phone when their infants were approximately six months old. Data were gathered on foods and beverages offered to infants, the age at which these were introduced, and supplements. The use of each food, beverage, and supplement was evaluated according to recommendations. Mean age at which foods were introduced and proportions of women who followed recommendations were calculated. Multivariate logistic regression models were used to identify the factors associated with following recommendations. Results indicated that among the 1,937 interviewed mothers, 212 (10.9%) exclusively breast-fed their infants before age four months, 1,073 (55.4%) breast-fed their infants at birth but gave them formula or foods before age four months, and 652 (33.7%) formula-fed their infants at birth. Factors associated with adherence to recommendations were breast-feeding exclusively, being older than 30 years, an annual family income of at least $60,000, and being a non-smoker. Few mothers followed all the recommendations.

scholarly journals Factors associated with the serological prevalence of Salmonella enterica in Greek finishing swineherds

2003 ◽  
Vol 131 (1) ◽  
pp. 599-606 ◽  
Author(s):  
L. S. LEONTIDES ◽  
E. GRAFANAKIS ◽  
C. GENIGEORGIS
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Salmonella Enterica ◽  
Regression Models ◽  
Finishing Pigs ◽  
Blood Samples ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Procaine Penicillin

Blood samples were taken from 50 finishing pigs at 90–105 kg in each of 59 randomly selected farrow-to-finish herds. The sera were tested for antibodies to Salmonella enterica by the Danish mix-ELISA. Samples with an optical density of >10% were considered to be positive. Associations between the odds of seropositivity of pigs and possible risk factors were evaluated in multivariable logistic regression models. The results of the analysis indicated that pigs fed non-pelleted dry or wet ration had 11 (P=0·0004) or 9 (P=0·02) times, respectively, lower odds of seropositivity than those fed pelleted ration. The risk of seropositivity was 4 (P=0·0006) times higher in pigs fed a combination of chlortetracycline, procaine penicillin and sulphamethazine during fattening than in those fed an approved growth promotor or a probiotic.

scholarly journals Determinants of Contraceptive Practice in Oman by Using Multilevel Modeling

2015 ◽  
Vol 20 (1) ◽  
pp. 83 ◽  
Author(s):  
Moza S. Al-Balushi ◽  
Mohammed S. Ahmed ◽  
M. Mazharul Islam
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Regional Variation ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Contraceptive Use ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Living Children ◽  
Multilevel Logistic Regression Model

In this paper, multilevel logistic regression models are developed for examining the hierarchical effects of contraceptive use and its selected determinants in Oman using the 2008 Oman National Reproductive Health Survey (ONRHS). Comparison between single level and multilevel logistic regression models has been made to examine the plausibility of multilevel effects of contraceptive use. From the multilevel logistic regression model analysis, it was found that there is real multilevel variation among contraceptive users in Oman. The results indicate that a multilevel logistic regression model is the best fit over ordinary multiple logistic regression models. Generally, this study revealed that women’s age, education, number of living children and region of residence are important factors that affect contraceptive use in Oman. The effect of regional variation for age of women, education of women and number of living children further implies that there exists considerable differences in modern contraceptive use among regions, and a model with a random coefficient or slope is more appropriate to explain the regional variation than a model with fixed coefficients or without random effects. The study suggests that researchers should use multilevel models rather than traditional regression methods when their data structure is hierarchal.  

scholarly journals Prevalence and factors associated with double and triple burden of malnutrition among mothers and children in Nepal: evidence from 2016 Nepal Demographic and Health Survey

2020 ◽  
Author(s):  
Dev Ram Sunuwar ◽  
Devendra Raj Singh ◽  
Pranil Man Singh Pradhan
Keyword(s):  
Logistic Regression ◽  
Short Stature ◽  
Health Survey ◽  
Regression Models ◽  
Secondary Level ◽  
Wealth Quintile ◽  
Anthropometric Measurements ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Mothers And Children

Abstract Background: Malnutrition in mothers and children is a significant public health challenge in developing countries such as Nepal. Although undernutrition in children has been gradually decreasing, the coexistence of various forms of malnutrition in mothers and children has continued to rise globally. There is a gap in knowledge of the coexistence of such multiple burdens of malnutrition in the Nepalese context. The aims of this study were to explore the coexistence of various forms of malnutrition and associated factors among mother-child pairs residing in the same household. Methods: A total sample of 2,261 mother-child pairs from the Nepal Demographic and Health Survey (NDHS) 2016 were included in the study. Anthropometric measurements and hemoglobin levels of children and anthropometric measurements of their mothers were collected. Bivariate and multivariable logistic regression models were used to assess the factors associated with the double burden of malnutrition (DBM) and the triple burden of malnutrition (TBM). Results: Prevalence of DBM and TBM was 6.60 % (95 % CI: 5.13-8.84) and 7.00 % (95 % CI: 5.42-8.99) respectively in the same households. In the adjusted multivariable logistic regression models, mothers with short stature (AOR=4.18, 95 % CI: 2.04-8.52), from the richest wealth quintile (AOR=2.46, 95 % CI: 1.17-5.15), aged over 35 years (AOR=3.08, 95 % CI: 1.20-7.86), and those who had achieved at least secondary level education (AOR=2.05, 95 % CI: 1.03-4.07) were more likely to suffer from the DBM. Similarly, mothers with short stature (AOR=5.01, 95 % CI: 2.45-10.24), from the richest wealth quintile(AOR=2.66, 95 % CI: 1.28-5.54), aged over 35 years (AOR=3.41, 95 % CI: 1.26-9.17), and those who had achieved at least secondary level education (AOR=2.05, 95 % CI: 1.00-4.18) were more likely to suffer from the TBM. Conclusions: Overall, there is a low prevalence of double and triple burden of malnutrition among mother-child pairs in Nepal. Older mothers with short stature and those from richer wealth quintiles were more likely to suffer from double and triple burden of malnutrition.

scholarly journals Prevalence Tobacco Smoking and Factors Associated with the Initiation of Smoking among University Students in Dhaka, Bangladesh

2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Sahadat Hossain ◽  
Shakhaoat Hossain ◽  
Fahad Ahmed ◽  
Rabiul Islam ◽  
Tajuddin Sikder ◽  
...  
Keyword(s):  
Logistic Regression ◽  
University Students ◽  
Tobacco Smoking ◽  
Regression Models ◽  
Survey Study ◽  
Smoking History ◽  
Potential Health ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Preventable Risk Factor

Introuduction: Tobacco smoking is considered to be the key preventable risk factor for morbidity and mortality at the global level. The aim of this study was to determine the prevalence of tobacco smoking and factors associated with the initiation of smoking among university students in Dhaka, Bangladesh.Methods: A cross-sectional survey study was conducted with 264 students of Jahangirnagar University, Dhaka, Bangladesh in 2015. A standard, self-administered questionnaire consisting of questions on socio-demographic variables, tobacco smoking status, family and peer tobacco smoking history, attitudes and beliefs about tobacco smoking, as well as knowledge about the negative health consequences of tobacco smoking was administered to participants. Data were analyzed using logistic regression models, chi square, and Fisher exact tests.Results: The overall prevalence of tobacco smoking was 60.2%, where males smoked at higher rates than females (68.81% and 19.56%, respectively). The influence of friends was the most significant reason for initiating tobacco smoking (OR: 0.862; CI: 0.810-0.917). Perception regarding tobacco smoking was significantly related to continuing tobacco use. Logistic regression models identified that smoking-related attitudes, potential health problems, and family members dying from cardiovascular disease and cancer were significantly associated with tobacco smoking.Conclusion: The current tobacco smoking prevalence among university students in Bangladesh is over 60%. We suggest adopting WHO Framework Convention on Tobacco Control (FCTC) policies, especially for university students.

scholarly journals A Longitudinal Analysis of Moving Desires, Expectations and Actual Moving Behaviour

2011 ◽  
Vol 43 (11) ◽  
pp. 2742-2760 ◽  
Author(s):  
Rory Coulter ◽  
Maarten van Ham ◽  
Peteke Feijten
Keyword(s):  
Logistic Regression ◽  
Residential Mobility ◽  
Regression Models ◽  
British Household Panel Survey ◽  
Panel Survey ◽  
Multinomial Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Different Types ◽  
Actual Mobility

Residential mobility theory proposes that moves are often preceded by the expression of moving desires and expectations. Much research has investigated how individuals form these premove thoughts, with a largely separate literature examining actual mobility. Although a growing number of studies link premove thoughts to subsequent moving behaviour, these often do not distinguish explicitly between different types and combinations of premove thoughts. Using 1998–2006 British Household Panel Survey data, this study investigates whether moving desires and expectations are empirically distinct premove thoughts. Using multinomial regression models we demonstrate that moving desires and expectations have different meanings, and are often held in combination: the factors associated with expecting to move differ depending upon whether the move is also desired (and vice versa). Next, using panel logistic regression models, we show that different desire–expectation combinations have different effects on the probability of subsequent moving behaviour. The study identified two important groups generally overlooked in the literature: those who expect undesired moves and those who desire to move without expecting this to happen.

Sign in / Sign up

Export Citation Format

Share Document