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📢 Latest Update: Call for Papers: Special Issue on Medical and Health Research – Submit to British Journal (BJMHR) by March 31, 2026

📢 Latest Update: Call for Papers: Special Issue on Medical and Health Research – Submit to British Journal (BJMHR) by March 31, 2026

Volume 11, Issue 3 - 2024 (March 2024 Issue 3)

Volume 11 Issue 3 Cover

Issue Details:

Volume 11 Issue 3
Published:Invalid Date

Editorial: March 2024 Issue 3

Welcome to the 2024 issue of British Journal of Medical and Health Research. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Dr Hemangi J Patel
Editor-in-Chief
British Journal of Medical and Health Research

Articles in This Issue

Showing 3 of 3 articles
Research PaperID: BJMHR1103001

NUTRITIONAL STATUS OF HOUSEHOLDS USING ANTHROPOMETRIC MEASUREMENTS IN NORTH WEST REGION, CAMEROON.

Ebai Nee Besong Patricia Ange, Gustave Mabiama, Eyenga Manga

This study examined the nutritional status of rural households using anthropometric measurements in North West Region of Cameroon. Twenty –two rural and 106 urban households were randomly selected for anthropometric studies... Anthropometric indices of respondents 6 months - 60 years from urban and rural households were obtained using standard procedures. Descriptive and inferential statistics were used to analyze collected data and significance at p<0.05 accepted. Data obtained and analyzed showed that stunting was the most prevalent form of malnutrition in the study, followed by underweight and wasting. Overweight and obesity in the urban households was 6.32% and 2.37% respectively while overweight and obesity in the rural households was 7.69% and 4.48% respectively. Mild (12.59% and 12.50%) and severe (8.66% and 8.33%) malnutrition were similar in urban and rural households respectively. Increased Risk of Metabolic Complication was 28.68% in the urban and 23.63% in rural households while Substantially Increased Risk of Metabolic Complication was 31.78% in the urban and 28.07% in the rural households

Nutritional statusanthropometric measurementshousehold
59,085 views
17,807 downloads
DOI:
10.5281/zenodo.10907040

Contributors:

 Ebai Nee Besong Patricia Ange
,
 Gustave Mabiama
,
 Eyenga Manga
Research PaperID: BJMHR1103002

Exploring the Link between Postterm Birth and Developmental Coordination Disorder: A Comprehensive Review on Developmental Coordination Disorder

Manish Prasad Gupta, Hua . Jing, Dhiraj . Gupta

A postterm birth is one that occurs after completed 42 weeks of pregnancy, is linked to higher rates of newborn morbidity and mortality. Despite the fact that babies delivered one or two weeks early have lifetime effects, there is scant evidence that babies born after their due date have lasting detrimental effects. The infant's risk of infection, delayed stillbirth, and difficulties during delivery increases if crossed their due date. Hence, if more hazards were associated with extending the pregnancy than with intervening, procedures might be utilized to accelerate delivery. The majority of the research currently available on postterm consequences focused on short-term observations, even though long-term effects might be far more significant. The incidence of DCD which ranges from 5% to 6%, is sufficient to designate it as one of the most common disorders among school-age children. Previous research indicated significant risk of DCD in infants born preterm. Whether infants born at varying gestational ages including postterm birth are more likely to experience developmental coordination disorder DCD than children born at full term is yet uncertain. Therefore, the purpose of this review study is to present a summary of the data connecting postterm birth to DCD. Using specific keywords, a comprehensive systematic search of internet databases (PubMed, Google Scholar) revealed up very few research on the topic of postterm births which demand for further postterm cohorts throughout adolescence in order to completely identify the long-term health concern and provide remedies designed to lessen the negative impacts of post-term births.

Child developmentChild motor impairmentDevelopmental Coordination Disorder (DCD)Gestational agePostterm birth
59,063 views
17,852 downloads
DOI:
10.5281/zenodo.10907058

Contributors:

 Manish Prasad Gupta
,
 Hua . Jing
,
 Dhiraj . Gupta
Research PaperID: BJMHR1103003

The Rule of link functions on Binomial Regression Model: A Cross Sectional Study on Child Malnutrition, Bangladesh

Md Mehedi Hasan Bhuiyan, Md Mahbub Alam

Link function is a key tool in the binomial regression model defined as non-linear model under GLM approach. It transforms the nonlinear regression to linear model with converting the interval (-∞,∞) to the probability [0,1]. The binomial model with link functions (logit, probit, cloglog and cauchy) are applied on the proportional of child malnutrition age 0-5 years in each household level. Multiple Indicator Cluster survey (MICS)-2019, Bangladesh was conducted by a joint cooperation of UNICEF and BBS . The survey covered 64000 households using two stage stratified sampling technique, where around 21000 household have children age 0-5 years. We use bi-variate analysis to find the statistical association between response and sociodemographic features. In the binary regression model, probit model provides the best result based on the lowest standard error of covariates and goodness of fit test (deviance, AIC).

Proportion of child Malnutrition Age 0-5 yearsBinomial Regression ModelLink functionBangladesh
59,468 views
17,795 downloads
DOI:
10.5281/zenodo.10907064

Contributors:

 Md Mehedi Hasan Bhuiyan
,
 Md Mahbub Alam

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