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Handgrip Strength

Handgrip strength (HGS) is a simple, noninvasive measure of isometric grip force that has emerged as one of the most powerful and versatile biomarkers of overall health, nutritional status, and mortality risk across the lifespan.[1][2][3] It is now a core diagnostic criterion in the EWGSOP2 sarcopenia definition, the Fried frailty phenotype, and is increasingly recognized as a functional complement to the GLIM malnutrition criteria.[4][5][6]

For the reconstructive urologist and urogynecologist, HGS is the single most actionable bedside tool for preoperative risk stratification — a $200–400 dynamometer takes 60 seconds, requires no lab, no imaging, and produces an outcome-validated number that predicts complications, LOS, and mortality across virtually every reconstructive surgical population. It is especially valuable when CT-based body composition or BIA is unavailable (most outpatient clinics).

Measurement Protocol​

The recommended protocol, per ASHT, uses a calibrated Jamar hydraulic dynamometer with the handle in the second position:[7][8][9]

  • Patient seated with feet flat on the floor.
  • Shoulder adducted and neutrally rotated.
  • Elbow flexed at 90°, forearm in neutral position, wrist in 0–30° extension.
  • Maximal voluntary contraction held for 3–6 seconds.
  • Three trials on the dominant (or both) hands, with 30–60 seconds rest between trials.
  • Maximum of three trials recorded (most common in sarcopenia definitions).

Test-retest reliability is excellent — reliability coefficients ≥ 0.80 in over 90% of studies in older adults.[7] However, measurement protocol (seated vs standing, elbow flexed vs extended) significantly affects results — in cancer patients, protocol differences produced clinically meaningful HGS differences in > 60% of men and > 40% of women.[10]

Normative Values and Age-Sex Trajectory​

HGS increases through adolescence, peaks in the 30s–40s, maintains through midlife, and declines progressively thereafter.[11][12][13] Decline accelerates after age 50–60, with values at age 80–90 approximately 40–50% lower than peak.[14][15]

Age groupMen (kg, median)Women (kg, median)
20–2947–5128–31
30–3947–51 (peak)29–31 (peak)
40–4945–5027–30
50–5942–4725–28
60–6938–4323–26
70–7932–3819–23
80+24–3014–18

Critically, normative values vary substantially by ethnicity and geography. The PURE study (125,462 adults, 21 countries) demonstrated European / North American populations have the highest absolute HGS, followed by South American and Asian populations, supporting the need for population-specific reference ranges.[3]

Sarcopenia Cutoffs​

  • EWGSOP2 (European) — Men < 27 kg, women < 16 kg.[4][16][17]
  • AWGS 2019 (Asia) — Men < 28 kg, women < 18 kg.
  • SDOC (US, 2020) — Men < 35.5 kg, women < 20 kg (higher thresholds, more inclusive).
  • Different threshold choices dramatically affect the prevalence of "low grip strength" in the same population — anchor to your local reference and recognize that a value in the borderline range (e.g., 28–32 kg in men) means different things under different frameworks.

Sarcopenia Diagnosis (EWGSOP2)​

HGS is the first-line screening measure in the EWGSOP2 stepwise algorithm:[4]

  1. Screen with HGS (or SARC-F questionnaire).
  2. Confirm with body-composition measurement (DXA, BIA — see Body Composition) if HGS is below cutoff.
  3. Assess severity with physical performance tests (gait speed, SPPB, TUG).

In a Japanese cohort, HGS demonstrated consistent inverse dose-response relationships with disability risk that persisted even after adjusting for body composition — indicating muscle strength independently protects against functional decline beyond its association with muscle mass.[18]

Prognostic Value — Mortality and Cardiovascular Disease​

The evidence linking HGS to mortality is among the most robust in epidemiological medicine.

All-cause mortality — UK Biobank (502,293 participants): each 5 kg decrease in HGS was associated with 16–20% higher all-cause mortality (HR 1.16 men, 1.20 women).[19] PURE (139,691 participants, 17 countries) confirmed that HGS is a stronger predictor of all-cause mortality than systolic blood pressure.[3]

Cardiovascular mortality — Each 5 kg decrease in HGS → 19–22% higher cardiovascular mortality (UK Biobank).[19] Using marginal structural models, a 5 kg increase in HGS associated with 14% reduction in all-cause mortality, 14% reduction in CV mortality, and 10% reduction in heart attack mortality.[20]

Cancer mortality — Each 5 kg lower HGS → 10–17% higher cancer mortality (colorectal, lung, breast; not prostate).[19]

Disease-specific incidence — HGS also predicts incident cardiovascular disease, respiratory disease, COPD; adding HGS to an office-based risk score (age, sex, diabetes, BMI, SBP, smoking) significantly improves prediction of cardiovascular and all-cause mortality.[19][21]

Functional Decline and Disability​

Low HGS is a powerful predictor of ADL disability. In a nationally representative US sample (17,747 older adults), every 5 kg decrease in HGS was associated with increased odds of limitations in eating (20%), walking (14%), bathing (14%), dressing (9%), transferring (8%), toileting (6%).[22] In the Jerusalem Longitudinal Cohort, low HGS (lowest quartile) predicted subsequent ADL dependence from age 78 → 85 (OR 2.68) and 85 → 90 (OR 2.31), independent of education, physical activity, diabetes, depression, and cognition.[14]

Surgical Outcomes​

Preoperative HGS is an increasingly validated tool for surgical risk stratification. A meta-analysis of 8 studies (2,291 patients with GI tumors) found that low preoperative HGS was associated with:[23]

  • Total complications — OR 2.23 (95% CI 1.43–3.50).
  • Pneumonia — OR 5.16 (3.17–8.38).
  • Ileus — OR 2.48 (1.09–5.65).
  • Short-term mortality — OR 7.28 (1.90–27.92).

In a 2026 multicenter prospective study of 223 adults undergoing elective abdominal surgery, higher preoperative HGS was independently associated with shorter length of stay, while chronological age was not — reinforcing that physiological reserve (as captured by HGS) outperforms age in predicting surgical recovery.[24] In older surgical patients, low HGS independently predicts complications beyond multidimensional frailty score and gait speed.[25]

Nutritional Assessment​

HGS responds early to nutritional deprivation — often declining before measurable changes in body composition — making it a sensitive functional marker of nutritional status.[2] In the GLIM framework, while HGS is not a formal diagnostic criterion, it is strongly associated with GLIM-defined malnutrition and serves as a practical surrogate for reduced muscle mass when body composition devices are unavailable.[5][6][26]

The KDOQI 2020 guidelines for nutrition in CKD specifically recommend HGS as a valid measure of nutritional status — in incident dialysis patients, HGS was more predictive of mortality than muscle mass measured by DXA.[27]

In hospitalized patients, HGS correlated with malnutrition severity grading — cutoffs for severe malnutrition were approximately < 20 kg in men < 70 years and proportionally lower in women, with AUC 0.78–0.82.[6]

Chronic Kidney Disease​

CKD is independently associated with low HGS. In a Korean population study (18,765 adults), CKD (eGFR < 60 mL/min/1.73 m²) was associated with reduced HGS.[28] In community-dwelling older men, mild-to-moderate renal impairment (eGFR 30–60) was associated with declines in muscle strength.[29] In ESRD patients, the uremic toxin indoxyl sulfate was independently associated with low HGS (OR 8.5), and low HGS predicted hospitalization during 600-day follow-up.[30]

Interventions to Improve HGS​

Resistance training is the most effective intervention for improving HGS. A meta-analysis of 24 trials (3,018 older adults) found a small but significant overall effect (SMD 0.28, 95% CI 0.13–0.44), with task-specific and multimodal training showing the largest transfer effects.[31]

For sarcopenic older adults specifically, a Bayesian network meta-analysis of 13 RCTs identified the optimal resistance training dose as:[32]

  • 3 sessions/week at ~ 49% 1RM intensity
  • 19 weeks duration
  • ~ 1,400 reps/week total
  • Expected improvement: ~ 7–8 kg in HGS

Combining resistance exercise with protein supplementation produces larger effect sizes than exercise alone. A network meta-analysis found that adding nutrition to resistance + balance exercise improved HGS by 4.19 kg (95% CI 2.55–5.83), exceeding the minimal important difference threshold.[33] A cluster RCT of home-based exercise + protein counseling in community-dwelling older adults showed sustained HGS improvements at 6 and 12 months.[34]

Reconstructive Relevance​

1. The Single Most Practical Bedside Preoperative Risk Tool​

HGS is the most actionable bedside number for preoperative risk stratification in reconstructive practice. A handheld Jamar dynamometer ($200–400) takes 60 seconds, requires no lab, no imaging, no consultation — and produces an outcome-validated number with mortality OR 7.28 for low preoperative values in GI tumor surgery. Routine integration into any major elective reconstruction clinic (cystectomy, urinary diversion, complex prolapse, GAS, BMG urethroplasty, exenteration revision) is high-yield.

Use it for:

  • Pre-cystectomy and urinary diversion — Most reconstructive patients in this cohort are older, comorbid, and oncologic. Low HGS predicts pneumonia (OR 5.16), ileus (OR 2.48), total complications (OR 2.23), and short-term mortality (OR 7.28) after GI tumor surgery — extrapolates strongly to radical cystectomy with bowel-anastomosis-based diversion.
  • Pre-complex prolapse / pelvic floor reconstruction — Older urogyn patients with sarcopenia have worse perioperative outcomes; HGS captures functional reserve missed by BMI alone.
  • Pre-gender-affirming surgery — Particularly staged procedures (phalloplasty, vaginoplasty) where total operative burden is high.
  • Pre-BMG urethroplasty — Graft healing depends on host nutritional state.
  • Pre-fistula repair — Especially radiation-induced or post-pelvic-cancer fistulae in survivors with cachectic phenotypes.

2. EWGSOP2 First-Line Sarcopenia Screen​

HGS is step 1 of the EWGSOP2 sarcopenia algorithm — screen with HGS, then confirm with body composition (DXA, BIA, CT) if low, then assess severity with physical performance.

Cutoffs (anchor to your local reference):

  • EWGSOP2 (European) — Men < 27 kg, women < 16 kg.
  • AWGS 2019 (Asia) — Men < 28 kg, women < 18 kg.
  • SDOC (US, 2020) — Men < 35.5 kg, women < 20 kg.

The SDOC cutoffs are substantially more inclusive — borderline patients may screen positive under SDOC but normal under EWGSOP2. Adopt the framework your institution uses and apply consistently.

3. GLIM Practical Surrogate When Body-Composition Imaging Is Unavailable​

In outpatient settings without CT or BIA, HGS combined with calf circumference is the GLIM-endorsed surrogate combination for the reduced-muscle-mass phenotypic criterion. Combine with CRP for inflammation status and weight-loss / intake history for full GLIM diagnosis.

4. Prehabilitation Tracking — The Serial Measurement Argument​

HGS is trendable. For any patient deferred from elective reconstruction for prehabilitation (low PhA, sarcopenia, frailty, malnutrition), serial monthly HGS provides an objective response marker:

  • Resistance training alone: ~ SMD 0.28 improvement in older adults; ~ 7–8 kg over 19 weeks in sarcopenic patients on optimal protocol.
  • Resistance training + protein supplementation: ~ 4.19 kg HGS improvement over standard care (network meta-analysis).
  • Re-list for surgery when HGS crosses local cutoff and is trending up over ≥ 3 months.

5. CKD / Dialysis Patients Facing Reconstruction​

HGS is more predictive of mortality than DXA muscle mass in incident dialysis patients per KDOQI 2020. For the dialysis patient being worked up for urinary diversion, fistula repair, or other major reconstruction, HGS is the right preoperative marker — not BMI, not albumin (low in CKD), not DXA in isolation.

6. Trauma Reconstruction in Older Patients​

For older pelvic-fracture-associated urethral injury patients facing posterior urethroplasty or pelvic reconstruction, HGS captures pretrauma functional reserve and helps stratify operative timing. Combine with full frailty workup.

See Also​

References​

1. Vaishya R, Misra A, Vaish A, Ursino N, D'Ambrosi R. "Hand Grip Strength as a Proposed New Vital Sign of Health: A Narrative Review of Evidences." Journal of Health, Population, and Nutrition. 2024;43(1):7. doi:10.1186/s41043-024-00500-y

2. Norman K, Stobäus N, Gonzalez MC, Schulzke JD, Pirlich M. "Hand Grip Strength: Outcome Predictor and Marker of Nutritional Status." Clinical Nutrition. 2011;30(2):135–142. doi:10.1016/j.clnu.2010.09.010

3. Leong DP, Teo KK, Rangarajan S, et al. "Prognostic Value of Grip Strength: Findings From the Prospective Urban Rural Epidemiology (PURE) Study." Lancet. 2015;386(9990):266–273. doi:10.1016/S0140-6736(14)62000-6

4. Cruz-Jentoft AJ, Sayer AA. "Sarcopenia." Lancet. 2019;393(10191):2636–2646. doi:10.1016/S0140-6736(19)31138-9

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6. Matsumoto Y, Iwai K, Namikawa N, et al. "The Relationship Between Existing Nutritional Indicators and GLIM Criteria: A One-Institution Cross-Sectional Analysis." Clinical Nutrition. 2020;39(10):3099–3104. doi:10.1016/j.clnu.2020.01.016

7. Bohannon RW. "Considerations and Practical Options for Measuring Muscle Strength: A Narrative Review." BioMed Research International. 2019;2019:8194537. doi:10.1155/2019/8194537

8. Wiśniowska-Szurlej A, Ćwirlej-Sozańska A, Wołoszyn N, Sozański B, Wilmowska-Pietruszyńska A. "Association between Handgrip Strength, Mobility, Leg Strength, Flexibility, and Postural Balance in Older Adults under Long-Term Care Facilities." BioMed Research International. 2019;2019:1042834. doi:10.1155/2019/1042834

9. Lee SC, Wu LC, Chiang SL, et al. "Validating the Capability for Measuring Age-Related Changes in Grip-Force Strength Using a Digital Hand-Held Dynamometer in Healthy Young and Elderly Adults." BioMed Research International. 2020;2020:6936879. doi:10.1155/2020/6936879

10. Chen X, Xie L, Xia X, et al. "Effects of measurement protocols and repetitions on handgrip strength weakness and asymmetry in patients with cancer." Journal of Cachexia, Sarcopenia and Muscle. 2024;15(1):220–230. doi:10.1002/jcsm.13373

11. Steiber N. "Strong or Weak Handgrip? Normative Reference Values for the German Population Across the Life Course Stratified by Sex, Age, and Body Height." PLoS One. 2016;11(10):e0163917. doi:10.1371/journal.pone.0163917

12. Dodds RM, Syddall HE, Cooper R, et al. "Grip Strength Across the Life Course: Normative Data From Twelve British Studies." PLoS One. 2014;9(12):e113637. doi:10.1371/journal.pone.0113637

13. He H, Pan L, Wang D, et al. "Normative values of hand grip strength in a large unselected Chinese population: Evidence from the China National Health Survey." Journal of Cachexia, Sarcopenia and Muscle. 2023;14(3):1312–1321. doi:10.1002/jcsm.13223

14. Stessman J, Rottenberg Y, Fischer M, Hammerman-Rozenberg A, Jacobs JM. "Handgrip Strength in Old and Very Old Adults: Mood, Cognition, Function, and Mortality." Journal of the American Geriatrics Society. 2017;65(3):526–532. doi:10.1111/jgs.14509

15. Amaral CA, Amaral TLM, Monteiro GTR, Vasconcellos MTL, Portela MC. "Hand Grip Strength: Reference Values for Adults and Elderly People of Rio Branco, Acre, Brazil." PLoS One. 2019;14(1):e0211452. doi:10.1371/journal.pone.0211452

16. Westbury LD, Beaudart C, Bruyère O, et al. "Recent sarcopenia definitions — prevalence, agreement and mortality associations among men: Findings from population-based cohorts." Journal of Cachexia, Sarcopenia and Muscle. 2023;14(1):565–575. doi:10.1002/jcsm.13160

17. Huemer MT, Kluttig A, Fischer B, et al. "Grip Strength Values and Cut-Off Points Based on Over 200,000 Adults of the German National Cohort — A Comparison to the EWGSOP2 Cut-Off Points." Age and Ageing. 2023;52(1):afac324. doi:10.1093/ageing/afac324

18. Seino S, Kitamura A, Abe T, et al. "Dose-response relationships of sarcopenia parameters with incident disability and mortality in older Japanese adults." Journal of Cachexia, Sarcopenia and Muscle. 2022;13(2):932–944. doi:10.1002/jcsm.12958

19. Celis-Morales CA, Welsh P, Lyall DM, et al. "Associations of Grip Strength With Cardiovascular, Respiratory, and Cancer Outcomes and All Cause Mortality: Prospective Cohort Study of Half a Million UK Biobank Participants." BMJ. 2018;361:k1651. doi:10.1136/bmj.k1651

20. López-Bueno R, Andersen LL, Calatayud J, et al. "Longitudinal Association of Handgrip Strength With All-Cause and Cardiovascular Mortality in Older Adults Using a Causal Framework." Experimental Gerontology. 2022;168:111951. doi:10.1016/j.exger.2022.111951

21. Lee WJ, Peng LN, Chiou ST, Chen LK. "Physical Health Indicators Improve Prediction of Cardiovascular and All-Cause Mortality Among Middle-Aged and Older People." Scientific Reports. 2017;7:40427. doi:10.1038/srep40427

22. McGrath RP, Vincent BM, Lee IM, Kraemer WJ, Peterson MD. "Handgrip Strength, Function, and Mortality in Older Adults: A Time-Varying Approach." Medicine and Science in Sports and Exercise. 2018;50(11):2259–2266. doi:10.1249/MSS.0000000000001683

23. Jiang X, Xu X, Ding L, et al. "Predictive Value of Preoperative Handgrip Strength on Postoperative Outcomes in Patients With Gastrointestinal Tumors: A Systematic Review and Meta-Analysis." Supportive Care in Cancer. 2022;30(8):6451–6462. doi:10.1007/s00520-022-06983-x

24. Montanari E, Boccardi V, Semeraro E, et al. "From Age to Physiological Reserve: Frailty and Muscle Strength in Early Postoperative Outcomes After Abdominal Surgery." American Journal of Surgery. 2026;258:117014. doi:10.1016/j.amjsurg.2026.117014

25. Choi JY, Kim KI, Choi Y, et al. "Comparison of multidimensional frailty score, grip strength, and gait speed in older surgical patients." Journal of Cachexia, Sarcopenia and Muscle. 2020;11(2):432–440. doi:10.1002/jcsm.12509

26. Leandro-Merhi VA, Mazzini LR, Barbieri VAC, et al. "Malnutrition by the GLIM Criterion and Reduced HGS Are Associated With Anthropometric Indicators in Hospitalized Patients." Scientific Reports. 2026. doi:10.1038/s41598-026-50959-4

27. Ikizler TA, Burrowes JD, Byham-Gray LD, et al. "KDOQI Clinical Practice Guideline for Nutrition in CKD: 2020 Update." American Journal of Kidney Diseases. 2020;76(3 Suppl 1):S1–S107. doi:10.1053/j.ajkd.2020.05.006

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29. Toyama T, van den Broek-Best O, Ohkuma T, et al. "Associations of Impaired Renal Function With Declines in Muscle Strength and Muscle Function in Older Men: Findings From the CHAMP Study." The Journals of Gerontology. Series A. 2019;74(11):1812–1820. doi:10.1093/gerona/glz100

30. Hou YC, Liu YM, Liao MT, et al. "Indoxyl Sulfate Mediates Low Handgrip Strength and Is Predictive of High Hospitalization Rates in Patients With End-Stage Renal Disease." Frontiers in Medicine. 2023;10:1023383. doi:10.3389/fmed.2023.1023383

31. Labott BK, Bucht H, Morat M, Morat T, Donath L. "Effects of Exercise Training on Handgrip Strength in Older Adults: A Meta-Analytical Review." Gerontology. 2019;65(6):686–698. doi:10.1159/000501203

32. Hua-Rui L, Shouliang H, Zhengze Y, et al. "Optimal Dose of Resistance Training to Improve Handgrip Strength in Older Adults With Sarcopenia: A Systematic Review and Bayesian Model-Based Network Meta-Analysis." Frontiers in Physiology. 2025;16:1564988. doi:10.3389/fphys.2025.1564988

33. Shen Y, Shi Q, Nong K, et al. "Exercise for sarcopenia in older people: A systematic review and network meta-analysis." Journal of Cachexia, Sarcopenia and Muscle. 2023;14(3):1199–1211. doi:10.1002/jcsm.13225

34. van den Helder J, Mehra S, van Dronkelaar C, et al. "Blended home-based exercise and dietary protein in community-dwelling older adults: a cluster randomized controlled trial." Journal of Cachexia, Sarcopenia and Muscle. 2020;11(6):1590–1602. doi:10.1002/jcsm.12634