Multilevel Linear Regression Analysis of Factors Influencing Body Mass Index Among Bangladeshi Married Non-Pregnant Women

Kamruzzaman, Md; Mamun, Abu Sayed Md. Al; Bakar, Sheikh Muhammad Abu; Saw, Aik; Kamarul, Tunku; Islam, Nurul

doi:10.1017/s0021932016000572

Cited by 12 publications

(15 citation statements)

References 22 publications

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“…28 We found that watching TV as a form of media exposure has a link with underweight status, which coincides with a previous study. 19 We found that women not using oral contraceptives have a higher risk of being underweight, consistent with an earlier study. 28 The study found that total children ever born, family size, and age at first birth were not statistically significant risk factors for underweight, which was a contradictory finding compared with two other studies performed in Bangladesh.…”

Section: Discussionsupporting

confidence: 92%

Sociodemographic Risk Factors of Being Underweight Among Ever-Married Bangladeshi Women of Reproductive Age: A Multilevel Analysis

Rahman

Sathi

2020

Asia Pac J Public Health

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The study’s primary goal is to identify a few sociodemographic risk factors associated with women’s underweight status. We have applied multilevel binary logistic regression using the Bangladesh Demographic and Health Survey 2014 data, considering hierarchical effect. The model implies that age <30 years (odds ratio [OR]: 2.19; 95% CI: 1.82-2.63), no education (OR: 1.44; 95% CI: 1.28-1.61), oral contraceptive nonuser (OR: 1.26; 95% CI: 1.14-1.39), and not watching TV (OR: 1.56; 95% CI: 1.41-1.73) are significant risk factors associated with women’s underweight status. Remarkably, women from rural areas and belonging to a community with poverty rates of 50% and higher are 46% and 52% more likely to be underweight, respectively. Policy makers and organizations should create a supportive environment for rural women by controlling education, media coverage, and poverty to enrich their knowledge about healthy weight to reduce community inequality and maintain a healthy life.

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Section: Discussionsupporting

confidence: 92%

Sociodemographic Risk Factors of Being Underweight Among Ever-Married Bangladeshi Women of Reproductive Age: A Multilevel Analysis

Rahman

Sathi

2020

Asia Pac J Public Health

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“…In our opinion, the use of single level statistical model is not appropriate for analyzing this type of nested dataset [18]. We feel that a multilevel regression models should be preferable, and this model has been used for several other studies that were based on BDHS datasets [9, 17, 28, 29]. In this study, two-level logistic regression models were used to determine the effects of socio-economic, demographic, and behavioral factors with anemia among pre-school children in Bangladesh.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2019

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Background Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition. Methods Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis. Results Data from 2231 children aged 6–59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers ( p < 0.01), undernourished children ( p < 0.05), younger children (age < 2 years) ( p < 0.01) and children from poor family ( p < 0.05). Lastly, anemia was more common among children living in Barisal and Rangpur divisions compared to those from Dhaka division ( p < 0.01), and among non-Muslims than Muslim ( p < 0.05). Conclusions Our study showed that prevalence of anemia among pre-school children in Bangladesh was very high (52.10%). We noted that young children of anemic mothers, from poor families, and being undernourished were at higher risk of developing anemia. Since most of these risk factors were related to socioeconomic conditions, they were potentially modifiable. Therefore, our findings may be useful for the health authorities to identify children at risk for remedial action and to plan for preventive measures.

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“…Hierarchical linear models are powerful statistical tools and are the preferred method for processing hierarchical data [17]. Before applying the method, the intraclass correlation coefficient (ICC) was used to check the validity of our hierarchical linear model [18]. The ICC measures the degree of correlation among observations within a cluster and ranges between 0 and 1.…”

Section: Hierarchical Linear Modelmentioning

confidence: 99%

“…Multilevel linear regression analysis was conducted using the natural logarithms of the annual total salary and the annual performance salary values as the dependent variables, which can more accurately reflect the distribution of the salaries of medical personnel [19]. The three levels of multiple linear regression model were calculated using [18]…”

Section: Hierarchical Linear Modelmentioning

confidence: 99%

Does the reform of public hospitals' payment system increase the pay of medical personnel? A nationwide cross-sectional study

Yong¹,

Zhao²,

Hong³

et al. 2021

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Background The reform of public hospitals' payment system (RPHPS) is the focus of medical reform in China. The current medical personnel payment system was formulated under a framework including the whole public sector, and this cannot meet the demands of necessary reform. In 2017, the government piloted the RPHPS to raise the pay of medical personnel and mobilize their work enthusiasm. Here, we examine whether the RPHPS provides a way to influence the pay of medical personnel and examine the factors determining this pay. Methods This study used data from a cross-sectional survey of 699 public hospitals across 21 provinces of China in 2017, the China Public Hospitals Pay Reform Survey. We used a coarsened exact matching method and hierarchical linear analysis to enhance the comparability between groups. A total of 178,622 medical personnel were included in our study. Results We found that the RPHPS was significantly associated with total annual pay and annual performance pay. Those who worked in the treatment group had significantly higher total annual pay and annual performance pay than those in the control group. The pay of medical personnel was strongly associated with the average salary of an urban worker and the hospital type, and their gender, age, education status, work characteristics, position, professional titles, seniority in years and departments. Conclusion There was a strong relationship between the implementation of the RPHPS and the pay of medical personnel. From a policymaker perspective, this shows that there may be value in further promoting the development of the payment system in public hospitals. The government should scale up the piloted areas for RPHPS and increase the total salary and the total performance-based wage-control level of public hospitals to reflect the value of the technical and labor services provided by medical personnel.

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Multilevel Linear Regression Analysis of Factors Influencing Body Mass Index Among Bangladeshi Married Non-Pregnant Women

Cited by 12 publications

References 22 publications

Sociodemographic Risk Factors of Being Underweight Among Ever-Married Bangladeshi Women of Reproductive Age: A Multilevel Analysis

Sociodemographic Risk Factors of Being Underweight Among Ever-Married Bangladeshi Women of Reproductive Age: A Multilevel Analysis

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

Does the reform of public hospitals' payment system increase the pay of medical personnel? A nationwide cross-sectional study

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