Two-Level Logistic Regression Analysis of Factors Influencing Anemia Among Nonpregnant Married Women of Reproductive Age in Bangladesh

2017 ◽  
pp. 11-19
Author(s):  
Md. Golam Hossain ◽  
Kamruzzaman ◽  
Abdul Wadood
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Married Women ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Factors Influencing

scholarly journals Factors associated with anaemia among women of reproductive age in Ethiopia: Multilevel ordinal logistic regression analysis

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Lire Lemma Tirore ◽  
Afework Mulugeta ◽  
Abate Bekele Belachew ◽  
Menaseb Gebrehaweria ◽  
Abraham Sahilemichael ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Ordinal Logistic Regression ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Factors Associated ◽  
Ordinal Logistic Regression Analysis

The alternative negative constructions in spoken and written Korean: Logistic regression analysis

2019 ◽  
Vol 15 (2) ◽  
pp. 419-442
Author(s):  
Beom-mo Kang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mixed Effects ◽  
Written Language ◽  
Regression Analyses ◽  
Relevant Factor ◽  
Factors Influencing ◽  
Frequency Of Use ◽  
Relevant Factors

AbstractAdopting quantitative corpus-based methods, this paper focuses on the alternative negative constructions in Korean, [anV] and [Vanhda]. Logistic regression analyses for a mixed-effects model were carried out on data drawn from the Sejong Korean Corpus. Certain features of the verb or adjective in negative constructions significantly affect the use of the two negative constructions. A relevant factor is register/medium (spoken or written), among other significant interactions of factors. Furthermore, the fact that frequency is consistent with other relevant factors, together with certain diachronic facts of Korean, supports the claim that frequency of use plays an important role in linguistic changes. Another finding is that, notwithstanding noticeable differences between spoken and written language, the factors influencing the use of the two negative constructions in Korean are largely similar in the spoken and written registers.

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.

Two Level Logistic Regression Analysis of Factors Influencing Dual Form of Malnutrition in Mother–Child Pairs: A Household Study in Bangladesh

2021 ◽  
pp. 45-54
Author(s):  
Md. Akhtaruzzaman Limon ◽  
Abu Sayed Md. Al Mamun ◽  
Kumkum Yeasmin ◽  
Md. Moidul Islam ◽  
Md. Golam Hossain
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Dual Form ◽  
Factors Influencing

scholarly journals Factors influencing childhood anaemia in Bangladesh: a two level logistic regression analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Abu Yusuf ◽  
A. S. M. A. Mamun ◽  
Md. Kamruzzaman ◽  
Aik Saw ◽  
Nagah M. Abo El-fetoh ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Factors Influencing

scholarly journals Multinominal Logistic Regression Analysis of Risk Factors Influencing The Time Until Secondary Hip Fractures

2015 ◽  
Vol 18 (3) ◽  
pp. A156
Author(s):  
K. Juhász ◽  
J. Gajdácsi ◽  
I. Boncz ◽  
B. Molics ◽  
A. Sebestyén
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Hip Fractures ◽  
Factors Influencing

scholarly journals Knowledge and factors influencing long acting reversible contraceptive use among women of reproductive age in Nigeria

2020 ◽  
Vol 3 ◽  
pp. 7
Author(s):  
Obasanjo Afolabi Bolarinwa ◽  
Olalekan Seun Olagunju
Keyword(s):  
Logistic Regression ◽  
Contraceptive Use ◽  
Target Population ◽  
Household Wealth ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Unintended Pregnancies ◽  
Factors Influencing ◽  
Long Acting ◽  
Long Acting Reversible Contraceptive

Background: Approximately 48% of unintended pregnancies occur as a result of contraceptive failure around the world, which is largely due to incorrect use, poor adherence and/or technology failure. Long-acting reversible contraceptive (LARC) methods have been developed to close this gap because it’s not dependent on compliance with a pill-taking regimen; remembering to change patch or ring; or fixing an appointment with physicians. The main aim of this study is to identify the factors influencing the women associated with use of LARC and to examine the relationship between knowledge of LARC and its current use. Methods: This study assessed the PMA2020 methodology and secondary dataset using female datasets from PMA 2016 (Round 3) exercise. PMA 2016 was a survey carried out in seven states of Nigeria. The target population for this study was women of reproductive age (15-49 years) currently using contraception prior to the survey. The sample size of women meeting inclusion criteria in this study was 1927. The data were analyzed using frequency distribution, chi-square and logistic regression at 5% level of significant. Results: The results showed that 21.0% of women were using traditional methods. Concerning LARC methods, the table showed that 14.8% of the sampled women were using LARC methods. Findings further showed that at both levels of analyses there is a significant relationship (P<0.05 and P=0.00 for binary and multivariable logistic regression, respectively) between knowledge of LARCs and uses in this study. This means that knowledge of LARC & other socio-demographic variables among women of reproductive age in Nigeria can influence the use of it. Conclusions: From the result of the study we concluded that 14.8% of women using contraception were using LARC. Additionally, level of education, age of women, household wealth and number of living children were significantly associated with using LARC.

Low Tibial Valgization Osteotomy for More Severe Varus Ankle Arthritis

2020 ◽  
Vol 41 (9) ◽  
pp. 1122-1132
Author(s):  
Jun Young Choi ◽  
Kun Woo Kim ◽  
Jin Soo Suh
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Ankle Arthritis ◽  
Level Of Evidence ◽  
Opening Wedge ◽  
Hindfoot Alignment ◽  
Factors Influencing

Background: Low tibial valgization osteotomy with medial opening wedge (LTO) is generally indicated for ankle arthritis with a small talar tilt (TT). We addressed the following research questions: the efficacy of LTO for more significant varus ankle arthritis, the effect of additional inframalleolar correction followed by LTO, and the preoperative or operation-related factors influencing postoperative TT decrease. Methods: We retrospectively reviewed the radiographic and clinical findings of 31 patients with more significant varus ankle arthritis (≥8 degrees) who underwent LTO or LTO plus inframalleolar correction. We grouped the included patients according to combination with inframalleolar correction and postoperative decreased TT. Furthermore, a binary logistic regression analysis was performed to determine the factors influencing postoperative TT decrease. Results: Even though the mean TT was unchanged postoperatively (from 12.1 to 9.9 degrees, P = .052), clinical parameters were significantly increased. In the group with concomitant inframalleolar correction, we found that TT was more corrected (3.9 vs 1.8 degrees, P = .023) with a greater lateralization of the talar center and a greater correction of the hindfoot alignment to valgus. The results of the binary logistic regression analysis showed a significant relationship between postoperative decreased TT and preoperative talar center migration ( P = .016), hindfoot alignment angle ( P = .033), hindfoot moment arm ( P = .041), and hindfoot alignment ratio ( P = .016). Conclusion: LTO in more significant varus ankle arthritis could result in clinical improvement, although TT was not significantly changed. We recommend adding inframalleolar correction after LTO for the patients with more significant varus ankle arthritis. Level of Evidence: Level III, comparative series.

scholarly journals FACTORS INFLUENCING MISTIMED AND UNWANTED PREGNANCIES AMONG NEPALI WOMEN

2015 ◽  
Vol 48 (2) ◽  
pp. 249-266 ◽  
Author(s):  
Pawan Acharya ◽  
Rupesh Gautam ◽  
Arja R. Aro
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Unwanted Pregnancy ◽  
Lower Odds ◽  
Factors Influencing ◽  
Western Development ◽  
Mistimed Pregnancy ◽  
Unwanted Pregnancies ◽  
Nepali Women

SummaryThis paper assesses the factors influencing mistimed and unwanted pregnancies in Nepal separately using data from the 2011 Nepal Demographic and Health Survey. Women who had given birth within the five years before the survey were interviewed about the intendedness of their last pregnancy. The data were analysed with a chi-squared test, followed by multiple logistic regression analysis. Among the total 5391 participants, 11.29% and 13.13% reported their last pregnancy as mistimed and unwanted respectively. Logistic regression analysis showed that women from the hill region were more likely to report mistimed pregnancy, while women from the Western and Far-Western development regions were less likely to report mistimed pregnancy. Education status was positively correlated with the reporting of mistimed pregnancy. Women involved in agriculture, with full autonomy on household decision, with some exposure to mass media, belonging to higher age group and having third or higher parity were less likely to report mistimed pregnancy. Similarly, women from the Western development region had relatively higher odds of reporting unwanted pregnancy. Women with husbands involved in a paid job had lower odds of unwanted pregnancy. Women’s autonomy was also positively correlated with unwanted pregnancy. Women with the intention to use contraceptive had lower odds of unwanted pregnancy. Interventions targeting the factors identified by this study could be useful in reduction of mistimed and unwanted pregnancies among Nepali women.

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