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 in | Clinical nutrition (Edinburgh, Scotland) Vol. 37; no. 3; pp. 914 - 918 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        England
          Elsevier Ltd
    
        01.06.2018
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0261-5614 1532-1983 1532-1983  | 
| DOI | 10.1016/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. | 
    
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| 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  | 
    
| Author_xml | – sequence: 1 givenname: Jordão surname: Lopes fullname: Lopes, Jordão – sequence: 2 givenname: Samantha Torres surname: Grams fullname: Grams, Samantha Torres – sequence: 3 givenname: Edy Floriano surname: da Silva fullname: da Silva, Edy Floriano – sequence: 4 givenname: Luana Adriano surname: de Medeiros fullname: de Medeiros, Luana Adriano – sequence: 5 givenname: Christina May Moran surname: de Brito fullname: de Brito, Christina May Moran – sequence: 6 givenname: Wellington Pereira surname: Yamaguti fullname: Yamaguti, Wellington Pereira email: wellington.psyamaguti@hsl.org.br, wellpsy@yahoo.com.br  | 
    
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28389120$$D View this record in MEDLINE/PubMed | 
    
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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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