ABSTRACT
Objective:
To identify reference values for handgrip strength through a literature search and compare the agreement of reference values from Brazil with others for handgrip strength in a sample of COPD patients in Brazil, as well as to determine which set of reference values is more discriminative regarding differences in clinical characteristics between individuals with low handgrip strength and normal handgrip strength.
Methods:
To identify reference values for handgrip strength, a literature search was performed; a retrospective cross-sectional analysis of baseline-only data from two unrelated studies was then performed. Individuals were evaluated for handgrip strength, peripheral muscle strength, respiratory muscle strength, pulmonary function, body composition, exercise capacity, dyspnea, and functional status.
Results:
Of the 45 studies that were initially selected, 9 met the criteria for inclusion in the analysis, which included 99 COPD patients in Brazil (52% of whom were male with GOLD stage II-IV COPD). The prevalence of low handgrip strength varied across studies (from 9% to 55%), the set of reference values for handgrip strength in a sample of individuals in Brazil having classified 9% of the study sample as having low handgrip strength. The level of agreement between the reference values for a sample of individuals in Brazil and the other sets of reference values varied from weak to excellent. The reference values for a sample of individuals in Brazil showed the highest number of significantly different characteristics between individuals with low and normal handgrip strength.
Conclusions:
The level of agreement between national and international sets of reference values for handgrip strength varied from weak to excellent in COPD patients in Brazil. Reference values for handgrip strength with higher discriminative capacity are not necessarily those that identify more individuals as having low handgrip strength.
Keywords: Pulmonary disease, chronic obstructive; Hand strength; Muscle weakness; Muscle strength; Reference values
RESUMO
Objetivo:
Identificar valores de referência de força de preensão manual por meio de pesquisa bibliográfica e comparar, em pacientes com DPOC no Brasil, o nível de concordância entre valores de referência de força de preensão manual obtidos no Brasil com outros valores de referência, bem como determinar qual conjunto de valores de referência é mais discriminativo em relação a características clínicas em indivíduos com força de preensão manual baixa e normal.
Métodos:
Para identificar valores de referência de força de preensão manual, foi realizada uma pesquisa bibliográfica. Em seguida, foi realizada uma análise transversal retrospectiva de dados exclusivamente basais provenientes de dois estudos não relacionados. Os indivíduos foram avaliados quanto à força de preensão manual, força muscular periférica, força muscular respiratória, função pulmonar, composição corporal, capacidade de exercício, dispneia e estado funcional.
Resultados:
Dos 45 estudos inicialmente selecionados, 9 preencheram os critérios de inclusão na análise, que incluiu 99 pacientes com DPOC no Brasil (52% dos quais eram homens com DPOC no estágio II-IV da GOLD). A prevalência de força de preensão manual baixa variou entre os estudos (de 9% a 55%), sendo que os valores de referência de força de preensão manual em indivíduos no Brasil classificaram 9% dos pacientes com DPOC como sendo indivíduos com força de preensão manual baixa. O nível de concordância entre os valores de referência para indivíduos no Brasil e os demais valores de referência variou de fraco a excelente. Os valores de referência para indivíduos no Brasil revelaram o maior número de características significativamente diferentes em indivíduos com força de preensão manual baixa e normal.
Conclusões:
O nível de concordância entre valores de referência nacionais e internacionais de força de preensão manual variou de fraco a excelente em pacientes com DPOC no Brasil. Os valores de referência de força de preensão manual com maior capacidade discriminativa não são necessariamente aqueles que identificam mais indivíduos como sendo indivíduos com força de preensão manual baixa.
Descritores: Doença pulmonar obstrutiva crônica, Força da mão, Debilidade muscular, Força muscular, Valores de referência
INTRODUCTION
Handgrip strength has been described as an important prognostic factor, moderately strongly associated with mortality in the general population and in individuals with COPD. 1 , 2 Handgrip strength reflects well overall peripheral muscle strength in individuals with COPD, 3 and assessment of muscle strength in this population is common and highly encouraged because muscle dysfunction is expected as a systemic manifestation of the disease. 4 Reference values or prediction equations are useful tools to identify the presence of abnormal muscle function while accounting for differences in individual characteristics because muscle strength is somehow associated with such characteristics. 4 Correct identification of individuals with peripheral muscle weakness is essential so that those at risk can be referred for specific treatment. 5
Since the publication of reference values for handgrip strength by Mathiowetz et al. 6 in 1985, various studies have reported normative data for handgrip strength. Normative ranges, cutoff points, and reference equations are available in the literature, 7 - 9 but there are differences across studies regarding age ranges and methods. In addition to population-based characteristics, technical issues such as patient positioning for assessment, the instrument used for assessment, the hand selected for assessment, and the number of attempts should be taken into consideration when choosing the most suitable reference values. 10
The objectives of this study were threefold: to identify reference values for handgrip strength through a literature search; to determine the level of agreement between a set of reference values for handgrip strength from Brazil 11 and other sets of reference values for handgrip strength in a sample of COPD patients recruited in Brazil; and to determine which set of reference values is more discriminative regarding differences in clinical characteristics between individuals with low handgrip strength and normal handgrip strength.
METHODS
This was a retrospective cross-sectional study of baseline-only data from two unrelated studies: a previous study conducted by our research group 12 and an as yet unpublished study by our research group (NCT03127878, approved by the local research ethics committee [Protocol no. 1.730.247]). Data from the two studies were collected between 2006 and 2019 in the Laboratory of Research in Respiratory Physiotherapy at the State University of Londrina, located in the city of Londrina, Brazil. The inclusion criteria for the two studies were as follows: a clinical diagnosis of COPD in accordance with the GOLD criteria 13 ; clinical stability, without infections or exacerbations in the previous month; no severe/unstable cardiac disease; and no orthopedic, neurological, or muscular impairment that could hinder the assessments. Participants were evaluated for handgrip strength, peripheral muscle strength (quadriceps, biceps, and triceps muscle strength), respiratory muscle strength, pulmonary function, body composition, exercise capacity, dyspnea, and functional status. All participants gave written informed consent prior to inclusion in the study.
Literature search
A literature search was undertaken in order to identify studies for analysis. Studies reporting reference values and/or prediction equations for handgrip strength were retrieved from the MEDLINE (PubMed) database on September 13, 2021. The search strategy and process of article selection are described in detail in the supplementary material (256.6KB, pdf) .
Handgrip strength assessment
Handgrip strength was assessed for both hands with the use of a validated hydraulic hand dynamometer (SH50011; Saehan Corporation, Changwon, South Korea), 14 with the patient in a seated position with unsupported arms, shoulders in a neutral position along the body, elbows flexed to 90°, and wrists in a neutral position. Three maximal attempts were made for each hand, with 3 s of contraction and 30 s of rest between attempts; the highest value for each hand was used in the analysis. 15 Right- or left-hand dominance was self-reported.
Other assessments
Quadriceps, biceps, and triceps muscle strength was assessed by the one-repetition maximum test; pulmonary function was assessed by spirometry; body composition was assessed by bioelectrical impedance analysis and an equation proposed by Rutten et al. 16 ; and exercise capacity was assessed by the six-minute walk test. All assessments were performed as previously described. 3
Respiratory muscle strength was assessed by measuring maximum respiratory pressures (MIP and MEP) with a digital manometer (MVD 300; Globalmed, Porto Alegre, Brazil), in accordance with recommendations by Black & Hyatt 17 and population-specific reference values. 18 Dyspnea during activities of daily living and functional status were respectively assessed by the Portuguese-language versions of the Medical Research Council scale 19 and the London Chest Activity of Daily Living scale. 20 In addition, the BODE index 21 and the Age, Dyspnea, and airflow Obstruction (ADO) index 22 were calculated.
Statistical analysis
All statistical analyses were performed with the IBM SPSS Statistics software package, version 22.0 (IBM Corporation, Armonk, NY, USA) and Epidat, version 3.1 (Dirección Xeral de Saúde Pública de la Consellería de Sanidade, Xunta de Galicia, Santiago de Compostela, Spain). The normality of the data distribution was examined with the Shapiro-Wilk test. Normally distributed data were described as mean ± standard deviation, and non-normally distributed data were described as median (IQR). Individuals were classified as having normal or reduced handgrip strength in accordance with different sets of reference values, on the basis of the limits proposed by the authors of each study or the number of SDs below the mean and specific for each group of individuals (classified by sex, age, and height in some cases), with the limit of 2 SDs 23 or the 5th percentile if values of mean ± SD were not available. The level of agreement between sets of reference values was determined by calculating the kappa statistic, being classified as weak (< 0.20), fair (0.21-0.40), moderate (0.41-0.60), excellent (0.61-0.80), or almost perfect (0.81-0.99). 24 For comparison of clinical characteristics between individuals with normal and reduced handgrip strength (in accordance with each set of reference values), the Student’s t-test or the Mann-Whitney test was used depending on the normality of the data distribution. A value of p < 0.05 was considered statistically significant for all analyses.
RESULTS
Thirty-seven studies were selected from a total of 895 articles retrieved from the MEDLINE (PubMed) database. An additional 8 were retrieved by manual search, adding up to a total of 45 studies. Of those, 9 were selected for analysis. 6 , 11 , 25 - 31 The selection process is shown in detail in Figure 1. Table 1 shows the characteristics of the 9 studies selected for analysis. The studies reported normative ranges for handgrip strength by sex and age, at least. General characteristics of the 36 studies that were not included in the analysis are shown in Table S1, including the reasons for not including them in the analysis (differences regarding the assessment of handgrip strength and the lack of a representative sample, in most cases).
Figure 1. Flow chart of study selection for inclusion in the analysis.

Table 1. Characteristics of the nine studies included in the analysis.
| Study | Sample Age range, years |
Country | Reference values | Method of handgrip strength evaluation | Criteria used in order to identify reduced handgrip strength |
|---|---|---|---|---|---|
| Amaral et al. 11 | n = 1,462 18-102 |
Brazil | Stratified by sex and age (10-year age groups) | Position in accordance with the ASHT recommendations; measurements were performed with the patient in a seated position, with the elbow at 90° and the handle adjusted to the second position; a familiarization with the instrument was allowed; the procedure was performed three times for each hand alternately, with an interval of 1-min between measurements; a hydraulic hand dynamometer (SH50011; Saehan Corporation, Changwon, South Korea) was used; values were expressed in kg; the highest handgrip strength value for each hand was used. | 2 SDs below the mean and group-specific (by sex and age) |
| Bohannon et al. 25 | n = 3,317 20-75a |
USA, Australia, Canada, UK, and Sweden | Stratified by sex and age (5-year age groups) | Position in accordance with the ASHT recommendations; a Jamar dynamometer (Patterson Medical/Sammons Preston, Bolingbrook, IL, USA) was used. Most of the studies included in the meta-analysis used the mean of three trials and assessed both hands. | Values below the 5th percentile and group-specific (by sex and age) |
| Frederiksen et al. 26 | n = 8,342 45-102 |
Denmark | Stratified by sex, height (5-cm height groups), and age (5-year age groups) | Measurements were performed in a series of three measurements with the elbow at 90° and the upper arm tight against the trunk; a Smedley dynamometer (TTM, Tokyo, Japan) was used; the width of the handle was adjusted to fit the hand size; the second phalanx should rest against the inner stirrup; three trials were performed for each hand, with each hand in two cohorts of the study and three trials for the preferred hand in the other study cohort; values were expressed in kg. | 2 SDs below the mean and group-specific (by sex, height, and age) |
| Massy-Westropp et al. 27 | n = 2,629 20-70 |
Australia | Stratified by sex and age (10-year age groups) | Measurements were performed with the patient in a seated position, with the elbow by the side and flexed to right angles, as well as with a neutral wrist position; the dynamometer handle was on position II, and there was provision of support underneath the dynamometer; a Jamar dynamometer (Patterson Medical/Sammons Preston) was used; three trials were performed for each hand; the mean value for each hand was used. | 2 SDs below the mean and group-specific (by sex and age) |
| Mathiowetz et al. 6 | n = 628 20-94 |
USA | Stratified by sex and age (5-year age groups, the eldest individuals being > 75 years of age) | Measurements were performed with the patient in a seated position, with shoulders adducted and neutrally rotated, elbows flexed at 90°, forearms in a neutral position, and wrists between 0° and 30° of dorsiflexion and between 0° and 15° of ulnar deviation; a Jamar dynamometer (Patterson Medical/Sammons Preston) was used, being set at the second handle position for all individuals; three successive trials were performed for each hand; values were expressed in pounds; the mean of three trials was used. | 2 SDs below the mean and group-specific (by sex and age) |
| Peters et al. 28 | n = 720 20-96 |
The Netherlands | Stratified by sex and age (10-year age groups) | Position in accordance with the ASHT recommendations; a Jamar dynamometer (Patterson Medical/Sammons Preston) was used; three trials were performed for each hand; the mean value for each hand was used. | Values below the 5th percentile and group-specific (by age and sex) |
| Shim et al. 29 | n = 366 13-77 |
Korea | Stratified by sex and age (10-year age groups) | Measurements were performed with the patient in a seated position, with the shoulders adducted and neutrally rotated, the elbows flexed at 90°, the forearms in a neutral position, and the wrists between 0° and 30° of flexion and between 0° and 15° of ulnar deviation; a Jamar hand dynamometer (Patterson Medical/Sammons Preston) was used; three consecutive trials were performed for each hand, 1 min apart; values were expressed in kg. | 2 SDs below the mean and group-specific (by sex and age) |
| Spruit et al. 30 | n = 224,852 39-73 |
UK | Stratified by sex, height (5-cm height groups), and age (5-year age groups) | Measurements were performed with the patient in a seated position, with the elbow of the arm holding the dynamometer against the side of the patient and bent to a 90° angle, the forearm pointing forward, and the thumb in the uppermost position; the wrist was straight so that the hand was either pointing forward or bent slightly outward; a Jamar hydraulic hand dynamometer (Patterson Medical/Sammons Preston) was used; three trials were performed for each hand; values were expressed in kg. | Values below the 5th percentile and group-specific (by sex, height, and age) |
| Werle et al. 31 | n = 1,023 18-96 |
Switzerland | Stratified by sex and age (5-year age groups, the eldest individuals being > 85 years of age) | Position in accordance with the ASHT recommendations; a Jamar dynamometer (Patterson Medical/Sammons Preston) was used and set at the second handle position; both hands were assessed; the mean of three trials was used; values were expressed in kg. | 2 SDs below the mean and group-specific (by sex and age) |
ASHT: American Society of Hand Therapists. aThe eldest individuals were at least that age. Beyond that, the maximum age was not clear.
Table 2 describes the sample characteristics. Ninety-nine individuals with COPD were included in the analysis. Of those, 52% were men with moderate to very severe airflow obstruction and relatively preserved exercise capacity. As can be seen in Figure 2, the prevalence of low handgrip strength ranged from 9% in studies conducted in Brazil 11 and the UK 30 to 55% in a multinational study conducted in the USA, Australia, Canada, the UK, and Sweden. 25 Table 3 shows the kappa statistics for the level of agreement between the set of reference values for a sample of adults and elderly individuals in Brazil 11 and the other sets of reference values. 6 , 25 - 31 The values varied considerably, ranging from as low as 0.1481 in the multinational study 25 to as high as 0.7963 in a study conducted in Korea. 29 Table S2 shows the level of agreement among all sets of reference values except the one for a sample of adults and elderly individuals in Brazil, 11 the kappa values having also varied widely (from 0.02 to 0.90).
Table 2. Characteristics of the study sample (N = 99).a .
| Variable | Result |
|---|---|
| Age, years (min-max) | 65 ± 8 (47-89) |
| Height, m | 1.58 [1.52-1.67] |
| Weight, kg | 70 ± 17 |
| BMI, kg/m2 | 27 ± 6 |
| GOLD stage II/III/IV COPD, n (%) | 39/45/15 (39/46/15) |
| FEV1, L | 1.19 [0.81-1.53] |
| FEV1, % predicted | 46 ± 15 |
| FVC, L | 2.33 [1.91-2.99] |
| FVC, % predicted | 74 ± 20 |
| FEV1/FVC | 51 ± 13 |
| Handgrip strength, kg | 26 ± 10 |
| Quadriceps muscle strength, kg | 17 [9-23] |
| Biceps muscle strength, kg | 12 [10-15] |
| Triceps muscle strength, kg | 14 [11-17] |
| Six-minute walk distance, m | 453 [388-500] |
| Six-minute walk distance, % predicted | 85 [72-95] |
| MIP, cmH2Oa | 74 ± 25 |
| MIP, % predicteda | 81 ± 26 |
| MEP, cmH2Oa | 101 ± 32 |
| MEP, % predictedb | 111 ± 36 |
| Fat-free mass, kgc | 46 ± 10 |
| Fat-free mass, % of body weightc | 66 [60-72] |
| Fat-free mass index, kg/mc | 18 ± 3 |
| Fat mass, kgc | 23 ± 10 |
| Fat mass, % of body weightc | 34 [27-39] |
| MRC scale score | 3 [2-4] |
| LCADL scale - totalb | 23 [18-30] |
| LCADL - self-care | 6 [5-8] |
| LCADL - domestic | 9 [5-13] |
| LCADL - physical | 4 [3-5] |
| LCADL - leisure | 4 [3-6] |
| BODE index | 3 [2-5] |
| ADO index | 4 [4-6] |
LCADL: London Chest Activity of Daily Living; MRC: Medical Research Council; and ADO: Age, Dyspnea, and airflow Obstruction. aValues expressed as mean ± SD or median [IQR], except where otherwise indicated. bn = 96. c n = 97.
Figure 2. Proportions of individuals classified as having low handgrip strength in accordance with different sets of reference values.

Table 3. Level of agreement between a set of reference values proposed by Amaral et al. 11 for a sample of adults and elderly individuals in Brazil and other sets of reference values when classifying individuals with COPD in Brazil as having low handgrip strength.
A comparison of individuals with normal handgrip strength and those with low handgrip strength in accordance with each set of reference values was performed in order to find meaningful clinical differences between these two groups (Table 4). The reference values for a sample of adults and elderly individuals in Brazil 11 had a high number of variables showing statistical differences between groups (15 of 19 variables), with all of the variables showing better results for individuals with normal handgrip strength. Differences were found regarding peripheral muscle strength, exercise capacity, body composition, dyspnea, functional status, the BODE index, and the ADO index (Table 4). In a study conducted in the Netherlands, 28 the number of variables showing statistical differences was the same as that in the study conducted in Brazil. 11 However, in the former study, 28 32% of the individuals were classified as having low handgrip strength, whereas, in the latter, 11 9% were classified as having low handgrip strength (Figure 2), the level of agreement between the two being low (0.3463; Table 3).
Table 4. Comparison between individuals with normal handgrip strength and those with low handgrip strength in accordance with each set of reference values.
| Variable | Amaral et al. 11 | Bohannon et al. 25 | Fredericksen et al. 26 ),b | |||
|---|---|---|---|---|---|---|
| Normal handgrip strength (n = 90) | Low handgrip strength (n = 9) | Normal handgrip strength (n = 44) | Low handgrip strength (n = 55) | Normal handgrip strength (n = 66) | Low handgrip strength (n = 16) | |
| Quadriceps muscle strength, kg | 17 [10-24] | 9 [3.25-11.75]* | 20 [16-29] | 12 [7-18]* | 18 [11.35-24] | 8 [5-17.75]* |
| Biceps muscle strength, kg | 15.5 [10-15] | 2.5 [1.75-7.75]* | 12.5 [10-18] | 12 [10-14]* | 12.5 [10-15] | 11.5 [3.1-13.9] |
| Triceps muscle strength, kg | 13.5 [11.87-17.75] | 5.5 [1.75-10]* | 15 [12-20] | 12 [10-15]* | 13.5 [12-17] | 11 [6.515.87]* |
| Handgrip strength, kg | 26 [20.75-34] | 10 [4-14.5]* | 29 [24-42] | 20 [16-28]* | 26 [21-36] | 24.5 [10-29.5]* |
| FEV1, % predicted | 46 [35-57] | 42 [35-46] | 49 [41-63] | 43 [31-54]* | 47 [35-62] | 41 [30-53] |
| MIP, % predicted | 80 [66-98] | 66 [57-97] | 90 [74-106] | 72 [58-92]* | 80 [65-99] | 66 [57-77]* |
| MEP, % predicted | 107 [89-134] | 82 [62-119] | 107 [89-133] | 108 [83-134] | 108 [90-134] | 97 [65-124] |
| 6MWD, m | 458 [399-506] | 345 [237-456]* | 465 [404-500] | 437 [351-510] | 459 [401-506] | 415 [258-470]* |
| 6MWD, % predicted | 86 [75-96] | 60 [43-82]* | 87 [79-97] | 80 [64-93]* | 86 [77-97] | 68 [46-84]* |
| FFMI, kg/m2 | 18.09 [16.22-20.82] | 16.03 [14.07-17.01]* | 19.23 [17.35-21.24] | 16.48 [15.38-19.77]* | 17.80 [16.06-20.91] | 16.26 [15.80-19.78] |
| FMI, kg/m2 | 9.78 [7.12-12.01] | 8.35 [5.34-8.02]* | 10.23 [7.39-11.82] | 8.76 [6.06-11.19] | 9.52 [7.00-12.00] | 7.45 [4.06-9.87] |
| MRC scale score | 3 [2-4] | 4 [3.5-5]* | 3 [2-4] | 3 [2-4] | 3 [2-4] | 4 [2.25-4.75] |
| LCADL scale, total | 22 [17-28] | 31 [26-42]* | 21 [16-28] | 23 [20-31] | 22 [17-28.75] | 23 [18-28.5] |
| Self-care | 5 [5-7] | 9 [6.5-10.5]* | 5 [5-7] | 6 [5-9] | 5 [5-7] | 6.5 [5-8.75] |
| Domestic | 9 [5-12] | 15 [8.5-23.5]* | 7 [4-12] | 9 [6-15] | 8.5 [4.25-13] | 7 [4-11.25] |
| Physical activity | 4 [3-5] | 5 [4-5]* | 4 [3-5] | 4 [3-5] | 4 [3-5] | 4 [3-5] |
| Leisure | 4 [3-6] | 6 [4-6.5] | 4 [3-5] | 5 [4-6]* | 4 [3-5] | 5 [4-6] |
| BODE index | 3 [2-5] | 6 [3-7]* | 3 [1-3] | 4 [2-6]* | 3 [2-4] | 4 [3-7]* |
| ADO index | 4 [3-5] | 6 [4-7]* | 4 [3-5] | 5 [4-6] | 4 [4-5] | 4 [3-7] |
| Massy-Westropp et al. 27 | Mathiowetz et al. 6 | Peters et al. 28 | ||||
| Normal handgrip strength (n = 88) | Low handgrip strength (n = 11) | Normal handgrip strength (n = 86) | Low handgrip strength (n = 13) | Normal handgrip strength (n = 67) | Low handgrip strength (n = 32) | |
| Quadriceps muscle strength, kg | 17 [10.6-24] | 8 [2-11]* | 17.5 [11.37-24] | 8 [3.5-10.5]* | 18 [11-24] | 11 [8-17]* |
| Biceps muscle strength, kg | 12.5 [10-15] | 3.5 [2-12]* | 12.5 [10-15.2] | 10 [2-12]* | 12 [10-16] | 10 [5-12]* |
| Triceps muscle strength, kg | 13.5 [12-18.25] | 8 [5-12]* | 13.75 [12-18.5] | 10 [5.25-12]* | 14 [12-19] | 11 [7-15]* |
| Handgrip strength, kg | 20 [20.25-34] | 11 [4-20]* | 26 [21-34] | 15 [6.5-19]* | 28 [24-36] | 18 [14-23]* |
| FEV1, % predicted | 46 [35-58] | 40 [33-46] | 47 [36-58] | 38 [28-45]* | 50 [38-62] | 40 [31-46]* |
| MIP, % predicted | 80 [66-99] | 73 [53-93] | 80 [66-98] | 73 [49-97] | 88 [67-100] | 70 [57-91]* |
| MEP, % predicted | 109 [91-135] | 82 [64-101]* | 109 [91-135] | 82 [66-113]* | 114 [95-142] | 92 [74-118]* |
| 6MWD, m | 457 [398-504] | 388 [220-472] | 458 [396-506] | 428 [244-468] | 465 [403-510] | 424 [283-465]* |
| 6MWD, % predicted | 86 [74-97] | 74 [42-82]* | 86 [74-97] | 76 [43-84]* | 88 [77-97] | 76 [83-85]* |
| FFMI, kg/m2 | 18.21 [16.30-20.86] | 16.03 [14.15-16.70]* | 18.48 [16.39-20.96] | 16.01 [14.20-16.48]* | 18.61 [17.02-21.24] | 16.26 [14.42-19.76]* |
| FMI, kg/m2 | 9.78 [7.15-11.99] | 6.13 [4.96-8.96]* | 9.88 [7.17-12.01] | 6.13 [5.22-8.86]* | 10.23 [7.20-12.17] | 8.49 [5.72-9.88]* |
| MRC scale score | 3 [2-4] | 4 [3-4] | 3 [2-4] | 4 [2.5-4.5] | 3 [2-4] | 4 [2.5-4]* |
| LCADL scale, total | 22 [17-28.5] | 29 [20-42] | 22 [17-28] | 29 [20.5-42] | 21.5 [17-26.7] | 28 [20.2-36]* |
| Self-care | 5 [5-7.5] | 8 [5-10] | 5 [5-7] | 8 [5-10.5] | 5 [5-7] | 6.5 [5-9] |
| Domestic | 9 [5-13] | 10 [7-20] | 8 [5-13] | 10 [8-19] | 7 [5-11] | 9.5 [6.25-18]* |
| Physical activity | 4 [3-5] | 5 [3-5] | 4 [3-5] | 5 [3-5] | 4 [3-5] | 4 [3-5] |
| Leisure | 4 [3-6] | 5 [4-6] | 4 [3-6] | 5 [4-6.5] | 4 [3-5] | 5 [4-6] |
| BODE index | 3 [2-4] | 5 [3-7]* | 3 [2-4] | 5 [3-7]* | 3 [1-4] | 4 [3-6]* |
| ADO index | 4 [3-5] | 5 [4-6] | 4 [3-5] | 5 [4-6] | 4 [3-5] | 5 [4-7] |
| Shim et al. 29 | Spruit et al. 30 | Werle et al. 31 | ||||
| Normal handgrip strength (n = 86) | Low handgrip strength (n = 13) | Normal handgrip strength (n = 90) | Low handgrip strength (n = 9) | Normal handgrip strength (n = 63) | Low handgrip strength (n = 33) | |
| Quadriceps muscle strength, kg | 17 [10.37-24] | 9 [3.5-12.75]* | 17 [10-24] | 9.50 [4.12-15.75]* | 19.5 [14-25.5] | 10.75 [6.25-17]* |
| Biceps muscle strength, kg | 12.5 [10-15.25] | 3.5 [2-12]* | 12.50 [10-15] | 3.25 [1.87-13.5]* | 12.5 [10-16] | 11 [7.37-13.37]* |
| Triceps muscle strength, kg | 13.5 [12-18.5] | 8 [3.75-12]* | 13.5 [11.75-17] | 7 [2.15-17]* | 14 [12.5-18.5] | 11.5 [8.62-14.75]* |
| Handgrip strength, kg | 26 [21.75-34] | 11 [6.5-20]* | 26 [20-34] | 10 [4-21]* | 28 [24-36] | 20 [16-27.5]* |
| FEV1, % predicted | 47 [35-58] | 40 [34-46]* | 46 [34-57] | 43 [37-47] | 47 [37-62] | 43 [30-54] |
| MIP, % predicted | 80 [66-98] | 66 [49-97] | 84 [66-99] | 57 [68-40]* | 86 [68-100] | 70 [57-91]* |
| MEP, % predicted | 107 [90-134] | 85 [66-119] | 107 [87-135] | 111 [72-129] | 107 [91-135] | 108 [83-130] |
| 6MWD, m | 459 [401-510] | 370 [237-453]* | 458 [394-507] | 412 [265-467] | 461 [400-505] | 439 [316-490]* |
| 6MWD, % predicted | 86 [75-97] | 74 [43-81]* | 85.87 [73.94-95.5] | 75.32 [49.31-83.01]* | 86 [76-97] | 79 [58-89]* |
| FFMI, kg/m2 | 18.09 [16.22-20.96] | 16.26 [14.62-18.57]* | 17.92 [16.15-20.82] | 16.26 [14.07-19.69] | 18.52 [16.53-21.10] | 16.48 [15.66-19.78]* |
| FMI, kg/m2 | 9.67 [7.12-11.85] | 8.49 [5.66-9.86] | 9.67 [7.03-13.01] | 8.49 [5.93-9.33] | 9.80 [7.15-12.06] | 8.90 [5.92-10.64] |
| MRC scale score | 3 [2-4] | 4 [3-4.5] | 3 [2-4] | 4 [2-4.25] | 3 [2-4] | 3.5 [2-4] |
| LCADL scale, total | 22 [17-28] | 30 [19.5-41] | 22 [18-29.25] | 26 [16.75-40.5] | 22 [17-28] | 24 [18-32.5] |
| Self-care | 5 [5-7] | 8 [5.5-9.5] | 6 [5-8] | 6.5 [5-9.5] | 5 [5-7.75] | 6 [5-9] |
| Domestic | 9 [5-12] | 12 [6.5-21.5] | 9 [5-13] | 9.5 [3.75-20.75] | 9 [5-12.75] | 9 [5.25-16.5] |
| Physical activity | 4 [3-5] | 4 [2-5] | 4 [3-5] | 4 [3-5] | 4 [3-5] | 4 [3-5] |
| Leisure | 4 [3-6] | 5 [3.5-6] | 4 [3-6] | 5 [3-6] | 4 [3-5] | 5 [3.25-6] |
| BODE index | 3 [2-4] | 5 [3-7]* | 3 [2-5] | 4 [2-6] | 3 [1-4] | 4 [2-6] |
| ADO index | 4 [3-5] | 5 [4-6] | 4 [4-5] | 5 [4-7] | 4 [4-5] | 4 [3-6] |
6MWD: six-minute walk distance; FFMI: fat-free mass index; FMI: fat mass index; MRC: Medical Research Council; LCADL: London Chest Activity of Daily Living; and ADO: Age, Dyspnea, and airflow Obstruction. aValues expressed as median [IQR]. bn = 82 (i.e., those who fit into the categories of height, sex, and age). *p < 0.05 in comparison with individuals with normal handgrip strength.
DISCUSSION
In the present study, we analyzed 9 different sets of reference values for handgrip strength. The proportion of COPD patients classified as having low handgrip strength varied substantially across studies, from 9% to 55%. Weak to excellent agreement was observed between reference values for a sample of adults and elderly individuals in Brazil 11 and those for individuals in other countries when classifying individuals with COPD as having low or normal handgrip strength. The reference values that revealed the highest prevalence of individuals with low handgrip strength did not necessarily show better discriminative capacity than did the other sets of values; that is, a greater number of significant differences in clinical characteristics between individuals with normal and low handgrip strength. The reference values proposed by Amaral et al. 11 were found to be the most discriminative when applied to a sample of individuals with moderate to very severe COPD in Brazil, together with the reference values proposed by Peters et al., 28 although the level of agreement between the two sets of reference values was not good. This indicates that the reference values for handgrip strength with the highest discriminative capacity to identify individuals with worse clinical characteristics are not necessarily the same as those that identify the highest number of individuals as having low handgrip strength. These results also indicate that, although handgrip strength might be a good reflection of peripheral muscle strength, 32 it does not necessarily indicate worse clinical characteristics in a broader sense.
One hypothesis as to why the reference values for a sample of adults and elderly individuals in Brazil 11 classified considerably fewer individuals as having low handgrip strength in comparison with other sets of reference values is that the aforementioned reference values 11 were derived from individuals in a single state in northern Brazil, whereas our study sample comprises individuals in a single state in southern Brazil. Brazil is a very large country, with marked differences in population characteristics across regions (especially between the northern and southern regions of the country), and this might have affected the representativeness of the reference values. In countries of continental dimensions, as in the present case, multicenter samples are more likely to be representative of the population as a whole. In addition, the reference values that showed the lowest level of agreement with the reference values for a sample of adults and elderly individuals in Brazil 11 were those from a multinational study by Bohannon et al., 25 who investigated independent samples of individuals in countries in various continents. However, all of the countries involved were well-developed countries. According to Dodds et al., 33 normative values for handgrip strength derived from individuals in developing regions are considerably lower than those derived from individuals in developed regions. Although Bohannon et al. argue that there is homogeneity across studies, 25 reference values derived from individuals in developed countries can overestimate the number of individuals with lower handgrip strength in developing countries 33 and lead to a very low level of agreement.
Reference values derived from individuals in developed countries such as the USA, Australia, and the UK 6 , 27 , 30 are expected to classify a higher number of individuals as having low handgrip strength because the normal values for individuals in developed countries are greater than those for individuals in developing countries, such as Brazil. Factors other than the country of origin might explain this difference in handgrip strength, including genetic factors; body size and composition 33 ; comorbidities; and nutritional status. Discrepancies in the proportions of individuals with low handgrip strength in accordance with reference values for different populations might also have been due to the population profile, with different occupational physical demands, activities of daily living, and leisure activities, 34 for example. This profile can vary depending on the country or region of origin, as well as on how recent the reference values are. 34 This is due to the fact that many influencing characteristics can change over the decades, and this might explain the finding that most of the sets of reference values that had a lower level of agreement with the reference values for a sample of adults and elderly individuals in Brazil 11 originated from studies 25 , 26 , 31 published prior to most of the studies presenting sets of reference values that had a higher level of agreement 29 , 30 with those for the sample in Brazil, 11 with the exception of the reference values derived from individuals in the USA, proposed by Mathiowetz et al. 6
All of the aforementioned factors can lead to underestimation or overestimation of a sample analyzed in accordance with reference values based on different population characteristics and time frames. Regardless of differences in the proportions of individuals classified as having reduced handgrip strength, reference values should be discriminative. Despite having classified fewer individuals as having reduced handgrip strength, the reference values for the sample in Brazil, 11 together with those proposed by Peters et al. in the Netherlands, 28 showed the highest discriminative capacity regarding differences in clinical variables between individuals with normal handgrip strength and those with reduced handgrip strength. Furthermore, the classifications made by the Brazilian reference values 11 and the Dutch reference values 28 were the only ones that showed differences in dyspnea and functional status between individuals with normal handgrip strength and those with low handgrip strength, with the Brazilian reference values 11 also showing differences regarding other London Chest Activity of Daily Living scale domains and the ADO index. These results constitute further evidence of the discriminative capacity of these sets of reference values, suggesting that they were an appropriate choice for use in the present sample. Moreover, the fact that these two sets of reference values had similarly high discriminative capacity suggests that, in the absence of national, population-specific reference values, there might be an acceptable alternative, i.e., reference values for a population whose characteristics more closely resemble those of the sample to be assessed and/or reference values that have similar discriminative capacity.
All of the studies analyzed in the present study provided reference values in table format, stratified at least by sex and age, showing values of mean ± SD, 6 , 11 , 26 , 27 , 29 , 31 mean and 95% CI, 25 or 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles. 30 Three sets of reference values 25 , 28 , 30 were developed on the basis of the lower limit of the confidence interval (5th percentile) rather than 2 SDs. 6 , 11 , 26 , 27 , 29 , 31 It is of note that two of the sets of reference values on the basis of which the prevalence of low handgrip strength was highest 25 , 28 were developed on the basis of the lower limit (5th percentile). Therefore, we speculate that reference values developed on the basis of the lower limit of the confidence interval constitute another factor leading to a difference in prevalence between the reference values proposed by Peters et al. 28 and those proposed by Amaral et al., 11 despite a clear similarity in discriminative capacity between these two sets of reference values.
The present study has limitations. The retrospective nature of the study did not allow us to analyze adequately studies providing predictive equations, because it was impossible to assess some of the predictive variables in those equations. In addition, we did not evaluate comorbidities. Evaluation of comorbidities could have provided additional information on impaired handgrip strength. Furthermore, characteristics of the study sample resulted in the fact that many studies (80% of the studies that were initially retrieved) were not included in the analysis, because of methodological differences such as very specific populations 35 or a very limited age range. 36 Another limitation is that only one reviewer selected the articles, and this is not the ideal methodological scenario. Moreover, despite the high number of studies retrieved from the literature search, a stricter standardization of handgrip strength assessment might be required in order to allow more comprehensive and reliable comparisons between studies and populations.
In summary, a large number of studies providing reference values were identified through a literature search, and there was large variation in the level of agreement (i.e., from weak to excellent) between national and international sets of reference values for handgrip strength used in order to classify individuals with moderate to very severe COPD as having normal or low handgrip strength. Although the set of reference values for a sample of adults and elderly individuals in Brazil 11 classified fewer individuals as having low handgrip strength than did almost all other sets of values, it was one of the sets with the highest discriminative capacity (showing significant differences in clinical characteristics between individuals with normal handgrip strength and those with low handgrip strength), together with the set of reference values for individuals in the Netherlands, which classified a higher proportion of individuals as having low handgrip strength. Therefore, reference values for handgrip strength with higher discriminative capacity to identify individuals with worse clinical characteristics are not necessarily those that identify more individuals as having low handgrip strength.
Footnotes
Study carried out in the Laboratório de Pesquisa em Fisioterapia Pulmonar -LFIP - Hospital Universitário, Universidade Estadual de Londrina, Londrina (PR) Brasil.
Financial support: None.
REFERENCES
- 1.Leong DP, Teo KK, Rangarajan S, Lopez-Jaramillo P, Avezum A, Orlandini A. 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. [DOI] [PubMed] [Google Scholar]
- 2.Puhan MA, Siebeling L, Zoller M, Muggensturm P, ter Riet G. Simple functional performance tests and mortality in COPD. Eur Respir J. 2013;42(4):956–963. doi: 10.1183/09031936.00131612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fonseca J, Machado FVC, Santin LC, Andrello AC, Schneider LP, Fernandes Belo L. Handgrip Strength as a Reflection of General Muscle Strength in Chronic Obstructive Pulmonary Disease. COPD. 2021;18(3):299–306. doi: 10.1080/15412555.2021.1919608. [DOI] [PubMed] [Google Scholar]
- 4.Maltais F, Decramer M, Casaburi R, Barreiro E, Burelle Y, Debigaré R. An official American Thoracic Society/European Respiratory Society statement update on limb muscle dysfunction in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2014;189(9):e15–e62. doi: 10.1164/rccm.201402-0373ST. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Holland AE, Cox NS, Houchen-Wolloff L, Rochester CL, Garvey C, ZuWallack R. Defining Modern Pulmonary Rehabilitation An Official American Thoracic Society Workshop Report. Ann Am Thorac Soc. 2021;18(5):e12–e29. doi: 10.1513/AnnalsATS.202102-146ST. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mathiowetz V, Kashman N, Volland G, Weber K, Dowe M, Rogers S. Grip and pinch strength normative data for adults. Arch Phys Med Rehabil. 1985;66(2):69–74. [PubMed] [Google Scholar]
- 7.Lee YL, Lee BH, Lee SY. Handgrip Strength in the Korean Population Normative Data and Cutoff Values. Ann Geriatr Med Res. 2019;23(4):183–189. doi: 10.4235/agmr.19.0042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Schlüssel MM, dos Anjos LA, de Vasconcellos MT, Kac G. Reference values of handgrip dynamometry of healthy adults a population-based study. Clin Nutr. 2008;27(4):601–607. doi: 10.1016/j.clnu.2008.04.004. [DOI] [PubMed] [Google Scholar]
- 9.Wang YC, Bohannon RW, Li X, Sindhu B, Kapellusch J. Hand-Grip Strength Normative Reference Values and Equations for Individuals 18 to 85 Years of Age Residing in the United States. J Orthop Sports Phys Ther. 2018;48(9):685–693. doi: 10.2519/jospt.2018.7851. [DOI] [PubMed] [Google Scholar]
- 10.Robles PG, Mathur S, Janaudis-Fereira T, Dolmage TE, Goldstein RS, Brooks D. Measurement of peripheral muscle strength in individuals with chronic obstructive pulmonary disease a systematic review. J Cardiopulm Rehabil Prev. 2011;31(1):11–24. doi: 10.1097/HCR.0b013e3181ebf302. [DOI] [PubMed] [Google Scholar]
- 11.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. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Probst VS, Kovelis D, Hernandes NA, Camillo CA, Cavalheri V, Pitta F. Effects of 2 exercise training programs on physical activity in daily life in patients with COPD. Respir Care. 2011;56(11):1799–1807. doi: 10.4187/respcare.01110. [DOI] [PubMed] [Google Scholar]
- 13.Global Initiative for Chronic Obstructive Disease . Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Bethesda: GOLD; 2018. https://goldcopd.org [Google Scholar]
- 14.Reis MM, Arantes PMM. Assessment of hand grip strength- validity and reliability of the saehan dynamometer [Article in Portuguese] Fisiot. Pesqui. 2011;18(2):176–181. doi: 10.1590/S1809-29502011000200013. [DOI] [Google Scholar]
- 15.Nyberg A, Saey D, Maltais F. Why and How Limb Muscle Mass and Function Should Be Measured in Patients with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc. 2015;12(9):1269–1277. doi: 10.1513/AnnalsATS.201505-278PS. [DOI] [PubMed] [Google Scholar]
- 16.Rutten EP, Spruit MA, Wouters EF. Critical view on diagnosing muscle wasting by single-frequency bio-electrical impedance in COPD. Respir Med. 2010;104(1):91–98. doi: 10.1016/j.rmed.2009.07.004. [DOI] [PubMed] [Google Scholar]
- 17.Black LF, Hyatt RE. Maximal respiratory pressures normal values and relationship to age and sex. Am Rev Respir Dis. 1969;99(5):696–702. doi: 10.1164/arrd.1969.99.5.696. [DOI] [PubMed] [Google Scholar]
- 18.Neder JA, Andreoni S, Lerario MC, Nery LE. Reference values for lung function tests II. Maximal respiratory pressures and voluntary ventilation. Braz J Med Biol Res. 1999;32(6):719–727. doi: 10.1590/S0100-879X1999000600007. [DOI] [PubMed] [Google Scholar]
- 19.Kovelis D, Segretti NO, Probst VS, Lareau SC, Brunetto AF, Pitta F. Validation of the Modified Pulmonary Functional Status and Dyspnea Questionnaire and the Medical Research Council scale for use in Brazilian patients with chronic obstructive pulmonary disease. J Bras Pneumol. 2008;34(12):1008–1018. doi: 10.1590/S1806-37132008001200005. [DOI] [PubMed] [Google Scholar]
- 20.Pitta F, Probst VS, Kovelis D, Segretti NO, Mt Leoni A, Garrod R. Validation of the Portuguese version of the London Chest Activity of Daily Living Scale (LCADL) in chronic obstructive pulmonary disease patients. Rev Port Pneumol. 2008;14(1):27–47. doi: 10.1016/S0873-2159(15)30217-8. [DOI] [PubMed] [Google Scholar]
- 21.Celli BR, Cote CG, Marin JM, Casanova C, Montes de Oca M, Mendez RA, et al. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med. 2004;350(10):1005–1012. doi: 10.1056/NEJMoa021322. [DOI] [PubMed] [Google Scholar]
- 22.Puhan MA, Garcia-Aymerich J, Frey M, ter Riet G, Antó JM, Agustí AG. Expansion of the prognostic assessment of patients with chronic obstructive pulmonary disease the updated BODE index and the ADO index. Lancet. 2009;374(9691):704–711. doi: 10.1016/S0140-6736(09)61301-5. [DOI] [PubMed] [Google Scholar]
- 23.Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A. Age-associated changes in skeletal muscles and their effect on mobility an operational diagnosis of sarcopenia. J Appl Physiol (1985) 2003;95(5):1851–1860. doi: 10.1152/japplphysiol.00246.2003. [DOI] [PubMed] [Google Scholar]
- 24.Viera AJ, Garrett JM. Understanding interobserver agreement the kappa statistic. Fam Med. 2005;37(5):360–363. [PubMed] [Google Scholar]
- 25.Bohannon RW, Peolsson A, Massy-Westropp N, Desrosiers J, Bear-Lehman J. Reference values for adult grip strength measured with a Jamar dynamometer a descriptive meta-analysis. Physiotherapy. 2006;92(1):11–15. doi: 10.1016/j.physio.2005.05.003. [DOI] [Google Scholar]
- 26.Frederiksen H, Hjelmborg J, Mortensen J, McGue M, Vaupel JW, Christensen K. Age trajectories of grip strength cross-sectional and longitudinal data among 8,342 Danes aged 46 to 102. Ann Epidemiol. 2006;16(7):554–562. doi: 10.1016/j.annepidem.2005.10.006. [DOI] [PubMed] [Google Scholar]
- 27.Massy-Westropp NM, Gill TK, Taylor AW, Bohannon RW, Hill CL. Hand Grip Strength age and gender stratified normative data in a population-based study. BMC Res Notes. 2011;4:127–127. doi: 10.1186/1756-0500-4-127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Peters M, van Nes S, Vanhoutte EK, Bakkers M, van Doorn PA, Merkies IS. Revised normative values for grip strength with the Jamar dynamometer. J Peripher Nerv Syst. 2011;16(1):47–50. doi: 10.1111/j.1529-8027.2011.00318.x. [DOI] [PubMed] [Google Scholar]
- 29.Shim JH, Roh SY, Kim JS, Lee DC, Ki SH, Yang JW. Normative measurements of grip and pinch strengths of 21st century korean population. Arch Plast Surg. 2013;40(1):52–56. doi: 10.5999/aps.2013.40.1.52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Spruit M, Sillen M, Groenen M, Wouters E, Franssen F. Spruit MA, Sillen MJ, Groenen MT, Wouters EF, Franssen FM New normative values for handgrip strength: results from the UK Biobank. J Am Med Dir Assoc. 2013;14(10):775–775. doi: 10.1016/j.jamda.2013.06.013. [DOI] [PubMed] [Google Scholar]
- 31.Werle S, Goldhahn J, Drerup S, Simmen BR, Sprott H, Herren DB. Age- and gender-specific normative data of grip and pinch strength in a healthy adult Swiss population. J Hand Surg Eur Vol. 2009;34(1):76–84. doi: 10.1177/1753193408096763. [DOI] [PubMed] [Google Scholar]
- 32.Fess EE. Casanova JS. Clinical Assessment Recommendations. 2. Chicago: American Society of Hand Therapists; 1992. Grip Strength; pp. 41–45. [Google Scholar]
- 33.Dodds RM, Syddall HE, Cooper R, Kuh D, Cooper C, Sayer AA. Global variation in grip strength a systematic review and meta-analysis of normative data. Age Ageing. 2016;45(2):209–216. doi: 10.1093/ageing/afv192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Larson CC, Ye Z. Development of an updated normative data table for hand grip and pinch strength A pilot study. Comput Biol Med. 2017;86:40–46. doi: 10.1016/j.compbiomed.2017.01.021. [DOI] [PubMed] [Google Scholar]
- 35.Kunelius A, Darzins S, Cromie J, Oakman J. Development of normative data for hand strength and anthropometric dimensions in a population of automotive workers. Work. 2007;28(3):267–278. [PubMed] [Google Scholar]
- 36.Peolsson A, Hedlund R, Oberg B. Intra- and inter-tester reliability and reference values for hand strength. J Rehabil Med. 2001;33(1):36–41. doi: 10.1080/165019701300006524. [DOI] [PubMed] [Google Scholar]
