Background: Birth weight has been identified as one of the most significant predictors of a child’s physical growth, development, and survival in later life. A quest to provide an answer on the impact of maternal anthropometry on neonatal birth weight necessitated this study. Materials and methods: It is a cross-sectional descriptive hospital based study that involved 130 participants selected using a systematic sampling method, utilizing a semi-structured, pre-tested interviewer administered questionnaire. Data were collected using a standard procedure and were summarized using proportions, and the Chi square test was used to explore the association between categorical variables. Predictors of birth weight were determined using logistic regression. The level of statistical significance was set at p Results: Participants had a mean age of 28.6 ± 5.1 years, mean weight of 72.2 ± 11.2 kg and mean height of 1.63 ± 0.07m while the mean fetal birth weight was 3.10 ± 0.56 kg. There was a significant association between maternal delivery body mass index and neonatal birth weight (p Conclusion: The prevalence of low birth weight and macrosomia in this study population was high. The focus should be geared towards balanced nutrition support for all mothers at booking so as to mitigate the risks associated with these extremes of birth weight.
Chibueze Ogbodo NwekeChijioke Stanley Anyigor-OgahNnaemeka Christopher OguejioforIdika Mba IdikaJohn Okafor EgedeIkenna Alphonsus OziokoChika Christiana AgunanneAugustina Chinweoke Anyigor-OgahChukwuemeka Benjamin AgunanneChinyere Chibuzor Duru
BACKGROUND The weight-to-waist index(WWI)serves as an innovative metric specifically designed to assess central obesity.However,the relationship between WWI and the prevalence of post-stroke depression(PSD)remains inadequately explored in the literature.AIM To elucidate the relationship between WWI and PSD.METHODS Data from the National Health and Nutrition Examination Survey 2005 to 2018 were analyzed.Multivariable logistic regression models and propensity score matching were utilized to investigate the association between WWI and PSD,with adjustments for potential confounders.The restricted cubic spline statistical method was applied to explore non-linear associations.RESULTS Participants with elevated WWI values had a significantly greater risk of developing PSD.Specifically,individuals in the higher WWI range exhibited more than twice the likelihood of developing PSD compared to those with lower WWI values(odds ratio=2.21,95%confidence interval:1.84-2.66,P<0.0001).After propensity score matching,the risk of PSD remained significantly elevated(odds ratio=1.43,95%confidence interval:1.09-1.88,P=0.01).Tertile analysis revealed that participants in the highest WWI tertile faced a significantly higher risk of PSD compared to those in the lowest tertile.Restricted cubic spline analysis further revealed a non-linear association,with the risk of PSD plateauing at higher WWI values.CONCLUSION There is a significant association between elevated WWI and increased risk of PSD.Thus,regular depression screening should be implemented in stroke patients with elevated WWI to enhance patient outcomes.
