
Journal of Shanghai Jiao Tong University (Medical Science) ›› 2022, Vol. 42 ›› Issue (11): 1582-1588.doi: 10.3969/j.issn.1674-8115.2022.11.010
• Public health • Previous Articles Next Articles
HUANG Kanghui(
), LI Mengyao, SHI Lan, ZHENG Ziyi, WEN Fule(
), ZHANG Yaqing(
)
Received:2022-05-23
Accepted:2022-10-18
Online:2022-11-28
Published:2023-01-04
Contact:
WEN Fule,ZHANG Yaqing
E-mail:huangkanghui@sjtu.edu.cn;wenfule@sjtu.edu.cn;zhangyqf@shsmu.edu.cn
Supported by:CLC Number:
HUANG Kanghui, LI Mengyao, SHI Lan, ZHENG Ziyi, WEN Fule, ZHANG Yaqing. Validity and reliability of Chinese version of Occupational Sitting and Physical Activity Questionnaire among intensive care nurses[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(11): 1582-1588.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2022.11.010
| Characteristic | n (%) |
|---|---|
| Gender | |
| Male | 16 (14.16) |
| Female | 97 (85.84) |
| Educational level | |
| Junior college | 38 (33.63) |
| Undergraduate | 75 (66.37) |
| Marital status | |
| Married | 57 (50.44) |
| Unmarried | 56 (49.56) |
| Age | |
| ≤29 years | 54 (47.79) |
| 30‒39 years | 49 (43.36) |
| ≥40 years | 10 (8.85) |
| Seniority | |
| ≤5 years | 49 (43.36) |
| 6‒10 years | 33 (29.20) |
| ≥10 years | 31 (27.43) |
| Practice department | |
| ICU | 50 (44.25) |
| EICU | 32 (28.32) |
| RICU | 16 (14.16) |
| CCU | 15 (13.27) |
| Position | |
| Nurse | 104 (92.04) |
| Preceptor | 3 (2.65) |
| Head Nurse | 6 (5.31) |
| Clinical ladder of nurses① | |
| N0 | 3 (2.70) |
| N1 | 12 (10.60) |
| N2 | 80 (70.80) |
| N3 | 14 (12.39) |
| N4 | 4 (3.54) |
| BMI | |
| <18.5 kg·m-2 | 16 (14.16) |
| 18.5‒23.9 kg·m-2 | 77 (68.14) |
| 24.0‒26.9 kg·m-2 | 10 (8.85) |
| ≥27.0 kg·m-2 | 10 (8.85) |
| Number of valid work days of accelerometer | |
| 3 | 10 (8.85) |
| 4 | 44 (38.94) |
| 5 | 59 (52.21) |
| Working hours in the last week | |
| 32 h | 5 (4.42) |
| 36 h | 10 (8.85) |
| 40 h | 68 (60.18) |
| 44 h | 17 (15.04) |
| 48 h | 13 (11.50) |
| Work schedule | |
| Day shifts | 20 (17.70) |
| Rotating shifts | 93 (82.30) |
Tab 1 General information of participants (n=113)
| Characteristic | n (%) |
|---|---|
| Gender | |
| Male | 16 (14.16) |
| Female | 97 (85.84) |
| Educational level | |
| Junior college | 38 (33.63) |
| Undergraduate | 75 (66.37) |
| Marital status | |
| Married | 57 (50.44) |
| Unmarried | 56 (49.56) |
| Age | |
| ≤29 years | 54 (47.79) |
| 30‒39 years | 49 (43.36) |
| ≥40 years | 10 (8.85) |
| Seniority | |
| ≤5 years | 49 (43.36) |
| 6‒10 years | 33 (29.20) |
| ≥10 years | 31 (27.43) |
| Practice department | |
| ICU | 50 (44.25) |
| EICU | 32 (28.32) |
| RICU | 16 (14.16) |
| CCU | 15 (13.27) |
| Position | |
| Nurse | 104 (92.04) |
| Preceptor | 3 (2.65) |
| Head Nurse | 6 (5.31) |
| Clinical ladder of nurses① | |
| N0 | 3 (2.70) |
| N1 | 12 (10.60) |
| N2 | 80 (70.80) |
| N3 | 14 (12.39) |
| N4 | 4 (3.54) |
| BMI | |
| <18.5 kg·m-2 | 16 (14.16) |
| 18.5‒23.9 kg·m-2 | 77 (68.14) |
| 24.0‒26.9 kg·m-2 | 10 (8.85) |
| ≥27.0 kg·m-2 | 10 (8.85) |
| Number of valid work days of accelerometer | |
| 3 | 10 (8.85) |
| 4 | 44 (38.94) |
| 5 | 59 (52.21) |
| Working hours in the last week | |
| 32 h | 5 (4.42) |
| 36 h | 10 (8.85) |
| 40 h | 68 (60.18) |
| 44 h | 17 (15.04) |
| 48 h | 13 (11.50) |
| Work schedule | |
| Day shifts | 20 (17.70) |
| Rotating shifts | 93 (82.30) |
| Item | Total sample (n=113) | Day shifts nurse (n=20) | Rotating shifts nurse (n=93) |
|---|---|---|---|
| Sitting/% | |||
| OSPAQ | 29.00 (20.00, 30.50) | 30.50 (25.50, 40.00) | 25.00 (20.00, 30.00) |
| Accelerometer | 36.00 (30.50, 42.00) | 38.50 (33.25, 45.75) | 36.00 (30.00, 42.00) |
| Standing/% | |||
| OSPAQ | 30.00 (28.00, 37.50) | 32.00 (26.00, 40.00) | 30.00 (28.00, 36.00) |
| Accelerometer | 35.00 (33.00, 38.00) | 35.50 (34.00, 38.75) | 35.00 (33.00, 38.00) |
| Walking/% | |||
| OSPAQ | 33.00 (30.00, 40.00) | 29.00 (20.25, 38.75) | 35.00 (30.00, 40.00) |
| Accelerometer | 27.00 (22.00, 33.00) | 24.50 (20.00, 28.75) | 28.00 (23.00, 33.00) |
| Heavy labour/% | |||
| OSPAQ | 6.00 (0, 10.00) | 2.00 (0, 8.00) | 7.00 (0, 10.00) |
| Accelerometer | 0 (0, 0) | 0 (0, 0) | 2.00 (0, 8.00) |
Tab 2 Description of Chinese version of OSPAQ and accelerometer measures of four occupational activities [M(P25, P75)]
| Item | Total sample (n=113) | Day shifts nurse (n=20) | Rotating shifts nurse (n=93) |
|---|---|---|---|
| Sitting/% | |||
| OSPAQ | 29.00 (20.00, 30.50) | 30.50 (25.50, 40.00) | 25.00 (20.00, 30.00) |
| Accelerometer | 36.00 (30.50, 42.00) | 38.50 (33.25, 45.75) | 36.00 (30.00, 42.00) |
| Standing/% | |||
| OSPAQ | 30.00 (28.00, 37.50) | 32.00 (26.00, 40.00) | 30.00 (28.00, 36.00) |
| Accelerometer | 35.00 (33.00, 38.00) | 35.50 (34.00, 38.75) | 35.00 (33.00, 38.00) |
| Walking/% | |||
| OSPAQ | 33.00 (30.00, 40.00) | 29.00 (20.25, 38.75) | 35.00 (30.00, 40.00) |
| Accelerometer | 27.00 (22.00, 33.00) | 24.50 (20.00, 28.75) | 28.00 (23.00, 33.00) |
| Heavy labour/% | |||
| OSPAQ | 6.00 (0, 10.00) | 2.00 (0, 8.00) | 7.00 (0, 10.00) |
| Accelerometer | 0 (0, 0) | 0 (0, 0) | 2.00 (0, 8.00) |
| Item | Total sample (n=113) | Day shifts nurse (n=20) | Rotating shifts nurse (n=93) |
|---|---|---|---|
| Sitting/% | 0.456① | 0.570② | 0.425① |
| Standing/% | 0.200③ | -0.045 | 0.250④ |
| Walking/% | 0.428① | 0.660⑤ | 0.339⑥ |
| Heavy labour/% | n/a | n/a | n/a |
Tab3 Criterion validity of Chinese version of OSPAQ when compared to accelerometer (Spearman ρ)
| Item | Total sample (n=113) | Day shifts nurse (n=20) | Rotating shifts nurse (n=93) |
|---|---|---|---|
| Sitting/% | 0.456① | 0.570② | 0.425① |
| Standing/% | 0.200③ | -0.045 | 0.250④ |
| Walking/% | 0.428① | 0.660⑤ | 0.339⑥ |
| Heavy labour/% | n/a | n/a | n/a |
| 1 | 何静, 王军, 杨涛. 慢性下肢静脉疾病的流行病学研究现状[J]. 中国血管外科杂志(电子版), 2018, 10(1): 71-78. |
| HE J, WANG J, YANG T. Epidemiology of chronic venous disease: current status[J]. Chin J Vasc Surg (Electronic Version), 2018, 10(1): 71-78. | |
| 2 | VAN HOOF W, O′SULLIVAN K, O′KEEFFE M, et al. The efficacy of interventions for low back pain in nurses: a systematic review[J]. Int J Nurs Stud, 2018, 77: 222-231. |
| 3 | 孙菲, 黄红铃, 江会, 等. 中英两国护士对自身体力活动及健康促进的态度与体验[J]. 中国实用护理杂志, 2013, 29(10): 12-16. |
| SUN F, HUANG H L, JIANG H, et al. Nurses′ attitude to and experience of physical activity and associated health promotion in UK and China[J]. Chin J Prac Nurs, 2013, 29(10): 12-16. | |
| 4 | ROSENBERGER M E, HASKELL W L, ALBINALI F, et al. Estimating activity and sedentary behavior from an accelerometer on the hip or wrist[J]. Med Sci Sports Exerc, 2013, 45(5): 964-975. |
| 5 | CHAU J Y, VAN DER PLOEG H P, DUNN S, et al. Validity of the occupational sitting and physical activity questionnaire[J]. Med Sci Sports Exerc, 2012, 44(1): 118-125. |
| 6 | JANCEY J, TYE M, MCGANN S, et al. Application of the Occupational Sitting and Physical Activity Questionnaire (OSPAQ) to office based workers[J]. BMC Public Health, 2014, 14: 762. |
| 7 | PEDERSEN S J, KITIC C M, BIRD M L, et al. Is self-reporting workplace activity worthwhile? Validity and reliability of occupational sitting and physical activity questionnaire in desk-based workers[J]. BMC Public Health, 2016, 16(1): 836. |
| 8 | DILLON K, HIEMSTRA M, MITCHELL M, et al. Validity of the occupational sitting and physical activity questionnaire (OSPAQ) for home-based office workers during the COVID-19 global pandemic: a secondary analysis[J]. Appl Ergon, 2021, 97: 103551. |
| 9 | MAES I, KETELS M, VAN DYCK D, et al. The occupational sitting and physical activity questionnaire (OSPAQ): a validation study with accelerometer-assessed measures[J]. BMC Public Health, 2020, 20(1): 1072. |
| 10 | 王丽敏, 万巧琴, 谷水, 等. 临床护士感知的工作负荷水平及其对工作投入的影响[J]. 护理学杂志, 2020, 35(17): 57-61. |
| WANG L M, WAN Q Q, GU S, et al. The level of self-rated workload among clinical nurses and its impact on work engagement[J]. J Nurs Sci, 2020, 35(17): 57-61. | |
| 11 | 李潮, 徐斐, 叶青, 等. 儿童青少年体力活动量表信效度评价[J]. 中华疾病控制杂志, 2019, 23(2): 172-175. |
| LI C, XU F, YE Q, et al. Evaluation of an item-specific physical activity scale for Chinese children and adolescents(I-PASCA)[J]. Chin J Dis Control Prev, 2019, 23(2): 172-175. | |
| 12 | CICCHETTI D V. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology[J]. Psychol Assess, 1994, 6(4):284-290. |
| 13 | COHEN J. Statistical power analysis for the behavioral sciences[M]. 2nd ed. Hillsdale: Lawrence Erlbaum Associates, 1988: 83. |
| 14 | CLELAND C, FERGUSON S, ELLIS G, et al. Validity of the International Physical Activity Questionnaire (IPAQ) for assessing moderate-to-vigorous physical activity and sedentary behaviour of older adults in the United Kingdom[J]. BMC Med Res Methodol, 2018, 18(1): 176. |
| 15 | WICK K, FAUDE O, SCHWAGER S, et al. Deviation between self-reported and measured occupational physical activity levels in office employees: effects of age and body composition[J]. Int Arch Occup Environ Health, 2016, 89(4): 575-582. |
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