Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years
The 6-minute walk distance (6MWD) is used as a measure of functional exercise capacity in clinical populations and research. Reference equations to predict 6MWD in different populations have been established, however, available equations for Chinese population are scarce. This study aimed to develop...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/13701 |
| _version_ | 1848748416038862848 |
|---|---|
| author | Ngai, S. Jones, A. Jenkins, Susan |
| author_facet | Ngai, S. Jones, A. Jenkins, Susan |
| author_sort | Ngai, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The 6-minute walk distance (6MWD) is used as a measure of functional exercise capacity in clinical populations and research. Reference equations to predict 6MWD in different populations have been established, however, available equations for Chinese population are scarce. This study aimed to develop regression equations to predict the 6MWD for a Hong Kong Chinese population. Fifty-three healthy individuals (25 men, 28 women; mean age = 69.3 ± 6.5 years) participated in this cross-sectional study. Each participant performed two 6-minute walk tests (6MWTs) in accordance with a standard protocol. Heart rate (HR) was continuously monitored throughout the 6MWTs and the maximum HR was recorded. Measurements from the 6MWT that resulted in the highest 6MWD were used for regression analysis. The mean 6MWD was 563 ± 62 m and was significantly correlated with age (r = −0.62), height (r = 0.39), and percentage of predicted maximal HR (%predHRmax; r = 0.50). A regression equation derived from the data showed that age, sex, and %predHRmax were independent contributors and together explained 65% of the variance in 6MWD. When HR was excluded, the equation explained 52% of the variance. Application of these equations to a Chinese population living in different parts of China warrants further investigation. |
| first_indexed | 2025-11-14T07:04:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-13701 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:04:41Z |
| publishDate | 2014 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-137012017-09-13T15:02:13Z Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years Ngai, S. Jones, A. Jenkins, Susan Chinese adults healthy individuals regression equation 6-minute walk distance exercise test The 6-minute walk distance (6MWD) is used as a measure of functional exercise capacity in clinical populations and research. Reference equations to predict 6MWD in different populations have been established, however, available equations for Chinese population are scarce. This study aimed to develop regression equations to predict the 6MWD for a Hong Kong Chinese population. Fifty-three healthy individuals (25 men, 28 women; mean age = 69.3 ± 6.5 years) participated in this cross-sectional study. Each participant performed two 6-minute walk tests (6MWTs) in accordance with a standard protocol. Heart rate (HR) was continuously monitored throughout the 6MWTs and the maximum HR was recorded. Measurements from the 6MWT that resulted in the highest 6MWD were used for regression analysis. The mean 6MWD was 563 ± 62 m and was significantly correlated with age (r = −0.62), height (r = 0.39), and percentage of predicted maximal HR (%predHRmax; r = 0.50). A regression equation derived from the data showed that age, sex, and %predHRmax were independent contributors and together explained 65% of the variance in 6MWD. When HR was excluded, the equation explained 52% of the variance. Application of these equations to a Chinese population living in different parts of China warrants further investigation. 2014 Journal Article http://hdl.handle.net/20.500.11937/13701 10.1016/j.hkpj.2014.04.001 Elsevier unknown |
| spellingShingle | Chinese adults healthy individuals regression equation 6-minute walk distance exercise test Ngai, S. Jones, A. Jenkins, Susan Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title | Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title_full | Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title_fullStr | Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title_full_unstemmed | Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title_short | Regression equations to predict 6-minue walk distance in Chinese adults aged 55-85 years |
| title_sort | regression equations to predict 6-minue walk distance in chinese adults aged 55-85 years |
| topic | Chinese adults healthy individuals regression equation 6-minute walk distance exercise test |
| url | http://hdl.handle.net/20.500.11937/13701 |