Showing posts with label biochemical indices. Show all posts
Showing posts with label biochemical indices. Show all posts

Tuesday, 28 October 2025

Influence of Age, Body Mass Index, and Biochemical Parameters on Renal Function in a Rural Indian Cohort | Chapter 2 | Medical Science: Recent Advances and Applications Vol. 12

 

Background: Chronic kidney disease (CKD) is a significant and growing global health concern, affecting approximately 9.1% of the world's population, with substantial variation across regions and populations. Renal function serves as a critical marker of systemic health, influenced by both physiological ageing and metabolic stress. Rural communities often exhibit unique risk factor profiles, including differences in diet, physical activity, healthcare access, and awareness, making it critical to generate localised evidence. However, limited data exist on how demographic and biochemical variables jointly impact kidney function in rural Indian populations.

 

Aim: The aim of this study is to assess the influence of age, body mass index (BMI), and key biochemical indices on renal function within a rural Indian cohort.

 

Methods: A cross-sectional study of 200 individuals was conducted, analysing estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen (BUN) across age groups. Data were collected using a structured, pre-tested questionnaire to gather demographic details, medical history, and lifestyle factors. Pearson’s correlation and multivariate linear regression were used to explore associations between renal function and demographic/biochemical predictors. Statistical analyses were performed using IBM SPSS Statistics Version 25.0 (IBM Corp., Armonk, NY, USA).

 

Results: The mean age was 59.7 ± 17.2 years, and the mean BMI was 24.5 ± 4.2 kg/m². A significant age-dependent decline in GFR was observed: from 131.2 mL/min in individuals <40 years to 62.1 mL/min in those >60 years. Strong negative correlations were found between age and GFR (r = - 0.71, p < 0.001) and between BMI and GFR (r = -0.35, p = 0.002), while BMI positively correlated with serum creatinine (r = 0.29, p = 0.006). Age also showed a strong positive correlation with BUN (r = 0.64, p < 0.001). In multivariate analysis, age (β = -0.56, p < 0.001), BMI (β = -0.28, p = 0.004), and bicarbonate levels (β = +0.31, p = 0.002) independently predicted GFR.

 

Conclusion: Age and BMI are strong, independent predictors of renal function decline in rural populations. Elevated bicarbonate levels appear to exert a protective effect. These findings underscore the need for age- and weight-adjusted screening protocols in low-resource settings to enable earlier intervention. Limitations of this study include its cross-sectional nature, which precludes causal inference, and potential confounders such as dietary habits and undiagnosed comorbidities that were not controlled. Future longitudinal studies with larger samples and inclusion of inflammatory markers are warranted to validate and extend these findings.

 

 

Author(s) Details

 

Shilpa Rattan
Biochemistry, SMVDIME, Kakryal, India.

 

B. Jahnavia
Biochemistry, MNR Medical College, Telangana, India.

 

Priya Duvedi
Biochemistry, SMVDIME, Kakryal, India.

 

Abid Manzoor
Physiology, SMVDIME, Kakryal, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/msraa/v12/6245

Thursday, 21 October 2021

Determination of Some Biochemical Indices in Catfish from Rivers, Swamp and Commercial Fish Ponds in Oil and Non-oil Polluted Areas in Rivers and Anambra States, Nigeria: A Comparative Assessment | Chapter 9 | New Innovations in Chemistry and Biochemistry Vol. 4

 The ability of activated carbon (CSAC) and polypyrrole coated sawdust (PPy/SD) obtained from the fruit of Cordia sebestena's gardening plant material to adsorb acid orange -7 from aqueous solutions was examined. The adsorption method is a viable treatment option, particularly if the adsorbent is affordable and easily available. Variations in experimental parameters such as pH, initial dye concentration, contact time, and temperature were used to conduct batch mode adsorption investigations. The kinetic data for both adsorbents was analysed using pseudo first order and pseudo second order models at various concentrations and temperatures. Freundlich and Langmuir models were used to analyse the equilibrium data. Thermodynamic research were also taken into consideration. Finally, CSAC's performance was compared to that of PPy/SD. The experimental results showed that PPy/SD is more effective than CSAC at removing Acid Orange 7 from aqueous solutions.

Author (S) Details

F. C. Anacletus
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Nigeria.

G. E. Bekibele
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Nigeria.

S. C. Onuoha
Department of Biochemistry, Faculty of Science, University of Port Harcourt, Nigeria.

K. T. Nwauche
Department of Chemical Sciences (Biochemistry Unit), College of Basic and Applied Sciences, Rhema University, Nigeria.

View Book :- https://stm.bookpi.org/NICB-V4/article/view/4328