Reference equations for handgrip strength: Normative values in young adult and middle-aged subjects

Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are...

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Published inClinical nutrition (Edinburgh, Scotland) Vol. 37; no. 3; pp. 914 - 918
Main Authors Lopes, Jordão, Grams, Samantha Torres, da Silva, Edy Floriano, de Medeiros, Luana Adriano, de Brito, Christina May Moran, Yamaguti, Wellington Pereira
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.06.2018
Subjects
Online AccessGet full text
ISSN0261-5614
1532-1983
1532-1983
DOI10.1016/j.clnu.2017.03.018

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Abstract Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data. This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20–60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov–Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used. HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20–30, 30–40, 40–50 and 50–60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2, adjusted to 0.71 and 0.70, were respectively: HSDkg = −15.490 + (10.787 × Gender male=1; female=0) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg = −9.887 + (12.832 × Gender male=1; female=0) + (2.028 × Hand Length). The variability of HS is largely explained by gender, forearm circumference, and hand length.
AbstractList Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data.This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20–60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov–Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used.HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20–30, 30–40, 40–50 and 50–60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2, adjusted to 0.71 and 0.70, were respectively: HSDkg = −15.490 + (10.787 × Gender male=1; female=0) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg = −9.887 + (12.832 × Gender male=1; female=0) + (2.028 × Hand Length).The variability of HS is largely explained by gender, forearm circumference, and hand length.
Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data. This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20–60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov–Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used. HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20–30, 30–40, 40–50 and 50–60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2, adjusted to 0.71 and 0.70, were respectively: HSDkg = −15.490 + (10.787 × Gender male=1; female=0) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg = −9.887 + (12.832 × Gender male=1; female=0) + (2.028 × Hand Length). The variability of HS is largely explained by gender, forearm circumference, and hand length.
Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data.BACKGROUND & AIMSHandgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data.This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20-60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov-Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used.METHODSThis is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20-60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov-Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used.HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20-30, 30-40, 40-50 and 50-60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2, adjusted to 0.71 and 0.70, were respectively: HSDkg = -15.490 + (10.787 × Gender male=1; female=0) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg = -9.887 + (12.832 × Gender male=1; female=0) + (2.028 × Hand Length).RESULTSHS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20-30, 30-40, 40-50 and 50-60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2, adjusted to 0.71 and 0.70, were respectively: HSDkg = -15.490 + (10.787 × Gender male=1; female=0) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg = -9.887 + (12.832 × Gender male=1; female=0) + (2.028 × Hand Length).The variability of HS is largely explained by gender, forearm circumference, and hand length.CONCLUSIONThe variability of HS is largely explained by gender, forearm circumference, and hand length.
Summary Background & aims Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data. Methods This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20–60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m2 ; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov–Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used. Results HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20–30, 30–40, 40–50 and 50–60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R2 , adjusted to 0.71 and 0.70, were respectively: HSDkg  = −15.490 + (10.787 × Gendermale=1; female=0 ) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSNDkg  = −9.887 + (12.832 × Gendermale=1; female=0 ) + (2.028 × Hand Length). Conclusion The variability of HS is largely explained by gender, forearm circumference, and hand length.
Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a low cost, non-invasive method of simple applicability, widely used in pulmonary rehabilitation and in critical care units. However, there are no reports in the literature of reference equations for the Brazilian population involving young and middle-aged adults. The aim of this study was to establish reference equations to predict normal HS for young and middle-aged adults through demographic and anthropometric data. This is a cross-sectional study with a sample of 80 healthy subjects (40 men and 40 women), aged 20-60 years. Inclusion criteria were: 1) BMI between 18.5 and 30 kg/m ; 2) presence of dominant hand; 3) no cardiac, pulmonary, metabolic, or neurologic diseases; 4) lack of musculoskeletal disorders; 5) no history of fractures or trauma of the UL. Anthropometric measurements of the UL were obtained by a tape (hand length and width, forearm circumference and length). The dominance of hands was defined by the Dutch Handedness Questionnaire. HS measures were obtained by a manual hydraulic dynamometer, according to the recommendations of the American Association of Hand Therapists. Data were analyzed with SPSS for Windows, version 17.0, and treated with descriptive and inferential analysis. Normality was evaluated by Kolmogorov-Smirnov. Pearson or Spearman coefficients and multiple regression analysis were also used. HS was significantly higher for men compared to women, and also higher for the dominant hand (HSD) compared to the non-dominant hand (HSND) (p < 0.05). No significant differences were found for HS between the age groups 20-30, 30-40, 40-50 and 50-60 years (p > 0.05). No correlation was found between HS and age. A weak correlation was found between HS and BMI. A moderate correlation of HS was observed with weight and height. Finally, moderate and high correlations were found between HS and anthropometric variables of UL. The best reference equations with R , adjusted to 0.71 and 0.70, were respectively: HSD  = -15.490 + (10.787 × Gender ) + (0.558 × Forearm circumference) + (1.763 × Hand Length); HSND  = -9.887 + (12.832 × Gender ) + (2.028 × Hand Length). The variability of HS is largely explained by gender, forearm circumference, and hand length.
Author de Brito, Christina May Moran
de Medeiros, Luana Adriano
Grams, Samantha Torres
da Silva, Edy Floriano
Yamaguti, Wellington Pereira
Lopes, Jordão
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Keywords Dynamometry
Nutrition assessment
Muscular function assessment
Hand strength
Anthropometry
Reference values
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Snippet Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement of HS by dynamometry is a...
Summary Background & aims Handgrip strength (HS) has been widely used as a functionality parameter of the upper limbs (UL) and general health. The measurement...
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SubjectTerms Anthropometry
body mass index
cross-sectional studies
data analysis
Dynamometry
equations
Gastroenterology and Hepatology
gender
Hand strength
hands
men
middle-aged adults
Muscular function assessment
musculoskeletal diseases
Nutrition assessment
questionnaires
Reference values
regression analysis
women
young adults
Title Reference equations for handgrip strength: Normative values in young adult and middle-aged subjects
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https://www.clinicalkey.es/playcontent/1-s2.0-S0261561417301097
https://dx.doi.org/10.1016/j.clnu.2017.03.018
https://www.ncbi.nlm.nih.gov/pubmed/28389120
https://www.proquest.com/docview/1885952755
https://www.proquest.com/docview/2010218651
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