P531 - COMPARATIVE REGRESSION ANALYSIS OF HAND GRIP STRENGTH AGAINST CARDIOVASCULAR AND INFLAMMATORY PARAMETERS IN HYPERTENSIVE HOSPITALISED ADULT PATIENTS OF KOLKATA, INDIA: CROSS SECTIONAL OBSERVATIONAL STUDY

P531

COMPARATIVE REGRESSION ANALYSIS OF HAND GRIP STRENGTH AGAINST CARDIOVASCULAR AND INFLAMMATORY PARAMETERS IN HYPERTENSIVE HOSPITALISED ADULT PATIENTS OF KOLKATA, INDIA: CROSS SECTIONAL OBSERVATIONAL STUDY

B. Bhattacharjee^1,2,3, T. Chaudhuri⁴, M. Maity², I. Dutta¹, P. Deb⁵, J. Khaitan^3,5, A. M. Raza¹, S. Bhowmick⁶, D. Ghosh^7,*

¹Dietetics and Applied Nutrition, Amity University Kolkata, Kolkata, ²Food and Nutrition, Swami Vivekananda University, Barrackpore, ³Dietetics, Clinical Nutrition and Wellness Solutions, Newtown, Kolkata, ⁴Statistics, Amity University Kolkata, Kolkata, ⁵Dietetics and Applied Nutrition, Amity University Kolkata, Newtown, Kolkata, ⁶Pharmacology, Peerless Hopsital and B.K. Roy Research Centre, ⁷Computer Application, Eminent College of Management and Technology , Kolkata, India

 

Rationale: Hypertension and associated metabolic disorders represent a global public health burden. Hand Grip Strength (HGS), an accessible measure of muscular function, has gained prominence as a potential biomarker for evaluating cardiovascular and systemic inflammation status. This study investigates the associations between HGS and key health indicators in hypertensive male and female cohorts.

Methods: A cross-sectional study of 544 hypertensive adult patients (272 males, 272 females) was conducted at Peerless Hospital, Kolkata, with ethical clearance (PHH&RCLCREC/4020/2023) and patient consent. OLS regression was run separately by sex, using HGS as the independent variable and SBP, DBP, body fat %, CRP, and ESR as dependent variables. No constant was included in the models. Tools used: Camry Handgrip Dynamometer, Beat XP Body Composition Analyser, stadiometer, and measuring tape. Subjects with cognitive impairment and physical inability were excluded.Convenient sampling done. Sample size calculated at 95% CI and 5 % allowable error.

Results: HGS is a strong, non-invasive marker of cardiovascular stress, with modest links to CRP and ESR. The lower R² values with CRP and ESR indicate other contributing systemic factors not captured by HGS alone.

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Conclusion: HGS predicts BP and body fat %, with moderate links to CRP and ESR, supporting its role in health assessment. Future studies should track HGS across ages and hypertension levels for deeper insights.

References: Bhattacharjee B, et al. (2024). HGS and cardiovascular risk in elderly, Clin Nutr ESPEN, 63, 1144–1145.

Bhattacharjee B, et al. (2024). Body comp. and inflammation in COPD, Clin Nutr ESPEN, 63, 1096.

Bhattacharjee B, et al. (2023). HGS, BP, WHR, VAI, CRP in adults, Clin Nutr ESPEN, 58, 523.

Serón-Arbeloa C. (2022). Malnutrition screening, Nutrients, 14(12), 2392.

Disclosure of Interest: None declared