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Original Article
Cardiovascular
ARTICLE IN PRESS
doi:
10.25259/IJCDW_18_2025

Gender-Specific Associations of Neck-Height Ratio, Physical Activity, and Relative Handgrip Strength with Blood Pressure in Young Indian Adults: Implications for Early Cardiovascular Risk Assessment in Women

Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India
Department of Physiology, Mahatma Gandhi Institute of Medical Science and Research Institute, Pondicherry, India
Division of Cardiology, Department of General Medicine, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidhyapeeth (Deemed to be University), Pondicherry, India.

*Corresponding author: R. Aruna, Department of Physiology, All India Institute of Medical Sciences, Kalyani, West Bengal, India. arunaraju10@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Aruna R, Niveatha S, Rajakumar A. Gender-Specific Associations of Neck-Height Ratio, Physical Activity, and Relative Handgrip Strength with Blood Pressure in Young Indian Adults: Implications for Early Cardiovascular Risk Assessment in Women. Indian J Cardiovasc Dis Women. doi: 10.25259/IJCDW_18_2025

Abstract

Objectives:

Hypertension has emerged as a significant public health issue in India. While traditional anthropometric measures have limitations in accurately evaluating body fat distribution, the neck-to-height ratio (NtHR) has emerged as a promising anthropometric indicator for cardiovascular risk assessment. This study aimed to assess the relationships between NtHR, physical activity levels, and relative handgrip strength with blood pressure (BP) in young Indian adults.

Materials and Methods:

This cross-sectional study recruited 415 healthy young adults (200 males and 215 females) aged 18–30 years. BP was measured using a validated Omron HBP 1300 monitor. Anthropometric measurements included neck circumference, height, weight, and waist circumference. Physical activity was assessed using the International Physical Activity Questionnaire. Relative handgrip strength was calculated by dividing maximum grip strength by body mass index (BMI).

Results:

NtHR demonstrated a strong positive association with both systolic and diastolic BP in both genders, with stronger associations in females. Multiple regression analysis revealed that NtHR was the strongest predictor of systolic BP in both genders (males: β = 0.731 and females: β = 0.763). Relative handgrip strength and physical activity showed significant negative associations with BP, with stronger protective effects in females. Receiver operating characteristic analysis established optimal NtHR cut-off values for detecting hypertension (males: 20.77 and females: 19.87) and prehypertension (males: 19.20 and females: 18.54).

Conclusion:

NtHR is a strong predictor of BP in young adults, with gender-specific patterns observed. The findings emphasize the potential of simple anthropometric measurements as effective screening tools for cardiovascular risk, particularly in resource-limited settings.

Keywords

Blood pressure
Neck-to-height ratio
Physical activity
Relative handgrip strength

ABSTRACT IMAGE

INTRODUCTION

Hypertension affects approximately 220 million Indians, contributing significantly to cardiovascular mortality.[1] The rising prevalence among young adults has been attributed to lifestyle changes, including reduced physical activity and increasing obesity.[2] Traditional anthropometric measures such as body mass index (BMI) and waist circumference have limitations in evaluating upper-body fat distribution.[3]

Recent evidence suggests that upper-body subcutaneous adipose tissue contributes to cardiometabolic risks beyond general adiposity.[4] Neck circumference (NC) and neck-to-height ratio (NtHR) have emerged as promising indicators.[5] The Framingham Heart Study demonstrated significant associations between NC and cardiometabolic risk factors.[6] Cross-sectional studies in Thai adults showed NC correlated with hypertension independently of other risk factors.[7] NtHR offers advantages over traditional measures through simplicity, cultural acceptability, and the ability to account for height variations.[8] While previous studies showed associations between conventional obesity indices and hypertension in young Indians,[9] NtHR associations remained unexplored.

Physical activity and muscular strength are independently associated with cardiovascular outcomes.[10] Relative handgrip strength shows inverse associations with blood pressure (BP) and cardiovascular risk,[11] particularly significant in young adults for preventing long-term complications. Recent studies suggest that reduced muscular strength in young adulthood may precede clinical hypertension.[12]

The interrelationship between NtHR, physical activity, and relative handgrip strength in predicting BP remains poorly understood. Understanding these relationships could inform targeted prevention strategies, considering potential gender-specific variations in young adults.

This study aimed to assess relationships between NtHR, physical activity levels, and relative handgrip strength with BP in young Indian adults.

MATERIALS AND METHODS

Study design

This cross-sectional study recruited 415 healthy adults aged 18–30 years, conducted according to Helsinki Declaration principles with institutional ethics approval.

Sample size

Sample size was calculated using OpenEpi software, assuming 50% sensitivity/specificity for NC in measuring prehypertension, with 35% prevalence in young Indian adults.[9] With 5% precision at 95% confidence interval, the minimum sample size was 415 participants.

BP assessment

BP was measured between 8:00 and 9:30 am using validated Omron HBP 1300 monitors. After 5-min rest, three measurements were taken in the sitting position on the left arm, with the average of the last two readings used for analysis. Hypertension was defined as BP ≥140/90 mmHg and prehypertension as 120–139/80–89 mmHg per Joint National Committee (JNC) 7 criteria.

Anthropometric measurements

All measurements followed International Society for the Advancement of Kinanthropometry (ISAK)recommendations:

  • Weight was measured using digital scale to nearest 0.1 kg

  • Height was measured using calibrated stadiometer to nearest 0.1 cm

  • Waist circumference was measured using nonstretchable tape at midpoint between costal margin and iliac crest

  • NC was measured between mid-cervical spine and mid-anterior neck with subjects upright

  • NtHR calculated as NC (cm)/height (m).

Physical activity and handgrip strength

Physical activity was assessed using the The International Physical Activity Questionnaire (IPAQ) short version. Total metabolic equivalent scores combined walking, moderate-intensity, and vigorous activities weekly. Maximum grip strength was assessed using hand dynamometers on non-dominant hand with three trials and 30-s rest intervals. Relative grip strength was calculated as maximum grip strength/BMI.

Statistical analysis

Data analysis was performed using the Statistical Package for the Social Sciences 17.0. The Shapiro–Wilk test assessed normality distribution. Descriptive statistics were presented as means and standard deviations for normally distributed data. Pearson correlation coefficients were calculated to examine associations between variables. Multiple regression analysis was used to determine independent predictors of BP. Receiver operating characteristic (ROC) analysis was done to determine the area under the curve, sensitivity, and specificity.

RESULTS

The characteristics of study population shown in Table 1 demonstrate that there are significant gender differences observed in anthropometric, cardiovascular, and physical function parameters. Males had significantly higher values compared to females.

Table 1: Characteristics of the study population.
Demographic characteristics Males
(n=200)
Females (n=215) P-value
Age (years) 21.79±3.03 21.60±3.12 0.530
Weight (kg) 73.01±12.92 64.65±13.78 <0.001
Height (cm) 170.49±6.08 158.00±5.94 <0.001
BMI (kg/m2) 25.13±4.29 25.73±5.16 0.198
Waist-to-hip ratio 0.85±0.07 0.81±0.07 <0.001
Neck circumference (cm) 34.80±3.28 29.74±2.38 <0.001
Neck-height ratio 20.43±2.03 18.85±1.65 <0.001
Cardiovascular parameters
  Heart rate (bpm) 78.31±7.42 76.05±8.16 0.003
  Systolic BP (mmHg) 120.25±10.83 116.94±11.03 0.002
  Diastolic BP (mmHg) 77.66±8.07 75.64±8.35 0.013
Physical measures
  Relative hand grip strength 1.30±0.24 0.98±0.23 <0.001
  Total physical activity (MET-min/week) 1388.65±981.47 721.59±360.37 <0.001
  Smoking n(%) 21 (10.5) 21 (9.8) -
  Alcohol n(%) 16 (8) 19 (8.8) -
  Family H/o Hypertension n(%) 32 (15.5) 43 (20) -

Values are presented as mean±standard deviation, number (percentage). P-values are from independent t-tests. BMI: Body mass index, BP: Blood pressure, MET: Metabolic equivalent, H/o: Family history of hypertension. Significance level is P< 0.05

Males had a higher prevalence of both prehypertension (35.2% vs. 31.2%) and hypertension (11.8% vs. 9.3%) compared to females.

Association of anthropometric and physical function parameters with BP among male participants in Figure 1 shows a positive association between neck-height ratio (NHtR) and various cardiovascular parameters. NHtR showed strong positive correlations with NC, body mass index (BMI), and waist circumference. Notably, NHtR demonstrated strong positive correlations with both systolic and diastolic BP. Relative handgrip strength showed significant negative correlations with most anthropometric measures, particularly with BMI (r = −0.652, P < 0.01). Total physical activity demonstrated modest negative correlations with anthropometric measures and BP parameters, with the strongest negative correlation observed with NHtR (r = −0.376, P < 0.01), indicating NHtR may serve as a valuable screening tool for cardiovascular risk in males, given its strong associations with BP parameters. Higher relative handgrip strength and physical activity appear to have a protective effect against elevated BMI and BP, particularly through its inverse relationship with NHtR.

Association of anthropometric and physical function parameters with blood pressure in males (n = 200). (NHtR: Neck height ratio, NC: Neck circumference, BMI: Body mass index, WC: Waist circumferece, HR: Heart rate, SBP: Systolic blood pressure, DBP: Diastolic blood pressure, RHGS: Relative hand grip strength, TPA: Total physical activity)
Figure 1:
Association of anthropometric and physical function parameters with blood pressure in males (n = 200). (NHtR: Neck height ratio, NC: Neck circumference, BMI: Body mass index, WC: Waist circumferece, HR: Heart rate, SBP: Systolic blood pressure, DBP: Diastolic blood pressure, RHGS: Relative hand grip strength, TPA: Total physical activity)

Association of anthropometric and physical function parameters with BP among female participants in Figure 2 revealed some distinct characteristics compared to males. NHtR maintained strong positive correlations with NC and demonstrated significant associations with both systolic and diastolic BP. Notable differences from the male population included stronger negative correlations between relative handgrip strength and anthropometric measures, particularly with BMI (r = −0.755, P < 0.01). Total physical activity showed stronger negative correlations in females compared to males, especially with NHtR (r = −0.573, P < 0.01) and systolic BP (r = −0.516, P < 0.01).

Association of anthropometric and physical function parameters with blood pressure in females (n = 215). NHtR: Neck height ratio, NC: Neck circumference, BMI: Body mass index, WC: Waist circumferece, HR: Heart rate, SBP: Systolic blood pressure, DBP: Diastolic blood pressure, RHGS: Relative hand grip strength, TPA: Total physical activity
Figure 2:
Association of anthropometric and physical function parameters with blood pressure in females (n = 215). NHtR: Neck height ratio, NC: Neck circumference, BMI: Body mass index, WC: Waist circumferece, HR: Heart rate, SBP: Systolic blood pressure, DBP: Diastolic blood pressure, RHGS: Relative hand grip strength, TPA: Total physical activity

Multiple regression analysis in Table 2 revealed that NHtR was the strongest predictor of systolic BP in both genders, with slightly higher predictive value in females (β = 0.763) compared to males (β = 0.731). Physical parameters showed notable gender differences in their associations with systolic BP. Relative handgrip strength demonstrated a stronger protective effect in females (β = −0.600) compared to males (β = −0.200). Similarly, total physical activity showed a stronger negative association with systolic BP in females (β = −0.509) than in males (β = −0.320). The overall model explained more variance in females (R2 = 0.732) than in males (R2 = 0.689).

Table 2: Gender-specific multiple regression analysis for systolic blood pressure.
Variables Males (n=200)
β (95% CI)
Females (n=215)
β (95% CI)
Anthropometric measures
  Neck-height ratio 0.731 (0.624–0.838)** 0.763 (0.658–0.868)**
  Neck circumference 0.693 (0.585–0.801)** 0.714 (0.608–0.820)**
  Waist circumference 0.610 (0.498–0.722)** 0.698 (0.589–0.807)**
Physical parameters
  Heart rate 0.438 (0.321–.555) ** 0.550 (0.437–0.663) **
  RHGS −0.200 (−0.328–−0.072) * −0.600 (−0.712–−0.488) **
  Total physical activity −0.320 (−0.439–−0.201) ** −0.509 (−0.620–−0.398) **
Model statistics
  R2 0.689 0.732
  Adjusted R2 0.671 0.718
  F-value 42.83** 56.94**
  Overall P value <0.001 <0.001

CI: Confidence interval. **P<0.05, *P<0.01. RHGS: Relative hand grip strength

The area under the receiver operating characteristic curve (ROC) curve (AUC) established optimal cutoff values for NHtR in predicting hypertension and prehypertension across both genders as shown in Table 3. For hypertension, the cutoff values were 20.77 in males (sensitivity: 81.6% and specificity: 78.4%) and 19.87 in females (sensitivity: 84.3% and specificity: 81.2%). For prehypertension, cutoffs were 19.20 in males (sensitivity: 78.8% and specificity: 75.2%) and 18.54 in females (sensitivity: 80.2% and specificity: 77.8%). All AUC values were statistically significant (P < 0.001), indicating good discriminative ability of NHtR for both conditions in both genders.

Table 3: NtHR cutoff values for predicting hypertension and prehypertension.
Condition Gender Cutoff Sensitivity Specificity AUC P-value
Hypertension Males 20.77 0.816 0.784 0.842 <0.001
Females 19.87 0.843 0.812 0.867 <0.001
Prehypertension Males 19.20 0.788 0.752 0.814 <0.001
Females 18.54 0.802 0.778 0.836 <0.001

Significance threshold P< 0.05. AUC: Area under the curve, Nthr: Neck height ratio

DISCUSSION

NC is an important indicator of upper-body fat distribution and is associated with potential cardiovascular and respiratory health risks. The relationship between NtHR and BP likely involves multiple pathways. Upper body subcutaneous adipose tissue releases inflammatory cytokines (tumor necrosis factor-α, interleukin-6, and C-reactive protein) that impair endothelial function through reduced nitric oxide bioavailability, increasing vascular resistance. In addition, excess neck adiposity may contribute through mechanical compression of carotid arteries, affecting baroreceptor sensitivity, and predisposing to sleep-disordered breathing with associated sympathetic activation.[13]

Gender-specific mechanisms may include hormonal influences on fat distribution and vascular reactivity, different adipokine profiles, and variations in muscle fiber composition. The stronger protective effects of physical activity and handgrip strength in females suggest gender-specific cardiovascular responses to lifestyle interventions.

Our findings align with previous studies demonstrating NC associations with cardiovascular risk. Začiragić et al. found NtHR correlated with BP in Bosnian students,[14] while Kuciene et al. showed high NC increased BP risk in youth.[15] Our correlations exceeded those reported by Zhou et al. in Chinese adults[16] and the Framingham heart study,[6] possibly reflecting ethnic differences in body composition.

The gender-specific patterns observed highlight the importance of sex-specific cardiovascular risk assessment. Stronger associations in females, along with enhanced protective effects of physical activity and handgrip strength, suggest that women may respond more favorably to lifestyle interventions, consistent with systematic reviews reporting greater BP reductions in women.[17]

Based on ROC analysis, we suggest clinical risk thresholds: males ≥20.77 (hypertension risk) and ≥19.20 (prehypertension risk) and females ≥19.87 and ≥18.54, respectively. NtHR measurement requires only a tape measure, making it valuable for resource-limited settings. This measurement provides physical feedback for patients and can monitor intervention effectiveness.

For clinical implementation, NtHR should complement, not replace, standard BP measurement. Patients exceeding gender-specific thresholds warrant comprehensive cardiovascular assessment and lifestyle counselling. Population screening applications could be particularly valuable in rural or underserved communities.

Limitations

This cross-sectional design precludes causal inferences. While strong associations exist between NtHR and BP, we cannot determine causality direction. Potential confounding from dietary habits, genetic predisposition, and environmental factors requires consideration. Longitudinal studies are essential to establish temporal relationships and determine if NtHR improvements translate to BP reductions.

CONCLUSION

NtHR demonstrates strong predictive value for BP with notable gender-specific patterns in young Indian adults. The stronger associations and protective effects observed in females suggest potential for targeted interventions. These findings support NtHR as an effective, simple cardiovascular screening tool, particularly valuable in resource-constrained settings. Future longitudinal studies should examine causal relationships and intervention effectiveness.

Ethical approval:

The research/study was approved by the Institutional Review Board at MGMCRI, number MGMCRI/2024/53/IHEC/67, dated November 09, 2024.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

References

  1. , . Hypertension: The Most Important Non Communicable Disease Risk Factor in India. Indian Heart J. 2018;70:565-72.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , , . Regional Variation in the Prevalence of Overweight/Obesity, Hypertension and Diabetes and their Correlates Among the Adult Rural Population in India. Br J Nutr. 2016;115:1265-72.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , , , , et al. Evolving Perspectives on Evaluating Obesity: From Traditional Methods to Cutting-Edge Techniques. Ann Med. 2025;57:2472856.
    [CrossRef] [PubMed] [Google Scholar]
  4. , . Human Adipose Tissue Metabolism in Obesity. J Obes Metab Syndr. 2025;34:105-19.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. NECK-to-Height Ratio in Screening for Abdominal Obesity Among Children and Adolescents: A Cross-Sectional Study. BMC Pediatr. 2025;25:651.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , , , , et al. Neck Circumference as a Novel Measure of Cardiometabolic Risk: The Framingham Heart Study. J Clin Endocrinol Metab. 2010;95:3701-10.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. Association of Neck Circumference and Hypertension among Adults in a Rural Community Thailand: A Cross-Sectional Study. PLoS One. 2021;16:e0256260.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , . Assessment of Neck to Height Ratio as a Predictive Tool for Metabolic Dysfunction-Associated Steatotic Liver Disease in Korean Adults: A Cross-Sectional Analysis from Korea National Health and Nutrition Examination Survey 2019-2021. Korean J Fam Med 2025 doi: 10.4082/kjfm.24.0216
    [CrossRef] [Google Scholar]
  9. , , . Anthropometric Indices as a Predictive Screening Tool for Hypertension among Young Indian Adults. Indian J Public Health. 2024;68:513-9.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , , . Associations of Daily Pedometer Steps and Self-Reported Physical Activity with Health-Related Quality of Life: Results from the Alberta Older Adult Health Survey. J Aging Health. 2016;28:661-74.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , , , , , et al. Prognostic Value of Grip Strength: Findings from the Prospective Urban Rural Epidemiology (PURE) Study. Lancet. 2015;386:266-73.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , . Muscular Strength in Risk Factors for Cardiovascular Disease and Mortality: A Narrative Review. Anatol J Cardiol. 2022;26:598-607.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , , , et al. Neck-to-Height Ratio and Arterial Stiffness in Chinese Adults: Cross-Sectional Associations in a Community-Based Cohort. J Hypertens. 2021;39:1195-202.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. Neck-to-Height Ratio in Bosnian University Students According to the 2017 American College of Cardiology/American Heart Association Guidelines on Hypertension Classification. Glo Cardiol. 2024;2:e27.
    [CrossRef] [Google Scholar]
  15. , , . Association of Neck Circumference and High Blood Pressure in Children and Adolescents: A Case-Control Study. BMC Pediatr. 2015;15:127.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , , , et al. Neck Circumference as an Independent Predictive Contributor to Cardio-Metabolic Syndrome. Cardiovasc Diabetol. 2013;12:76.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , . Resting Blood Pressure Reductions Following Handgrip Exercise Training and the Impact of Age and Sex: A Systematic Review and Narrative Synthesis. Syst Rev. 2018;7:229.
    [CrossRef] [PubMed] [Google Scholar]
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