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Ushio M, Makimoto K, Fujita K, Tanaka S, Kanaoka M, Kosai Y, Harada N. Validation of the LPA-SQUASH in post-liver-transplant patients. Jpn J Nurs Sci 2023; 20:e12540. [PMID: 37199019 DOI: 10.1111/jjns.12540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/28/2023] [Accepted: 04/16/2023] [Indexed: 05/19/2023]
Abstract
AIM This study aimed to validate the revised Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH) to measure sedentary activity in post-liver-transplant patients. The proposed scale could be useful for transplantation nurses to assess and modify sedentary lifestyles and increase physical activity. METHODS The SQUASH was modified to include items on sitting time and light-intensity physical activity (LPA-SQUASH). A pilot study was conducted with 20 liver transplant patients, and an expert panel validated the scale contents. Then, post-liver-transplant outpatients at a Japanese university hospital participated in the main study (September-October 2020), in which questionnaires were mailed twice to assess test-retest reliability, and accelerometers used to establish criterion validity. Intra-class correlation coefficients (ICC) were calculated for test-retest reliability. Spearman correlations and Bland-Altman plots were used to assess validity and measurement error. RESULTS In total, 173 participants returned the questionnaires, and 106 and 71 completed the reliability and validation studies, respectively. The range of LPA-SQUASH correlation coefficients for test-retest was .49-.58. ICCs ranged from .72 to .80 for items other than leisure. Accelerometer data and the LPA-SQUASH total physical activity amount and light-intensity physical activity correlated moderately. CONCLUSION We modified the SQUASH, which was developed to measure physical activity in healthy adults, to assess light-intensity physical activity in post-liver-transplant patients. The LPA-SQUASH showed acceptable validity and reliability. The questionnaire may be used by transplantation nurses to examine light-intensity physical activity content/duration, deliver patient education considering patients' sedentary lifestyle, and facilitate goal setting for physical activity interventions to prevent metabolic syndrome.
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Affiliation(s)
- Miyuki Ushio
- Fukuoka Jo Gakuin Nursing University, Fukuoka, Japan
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Kimie Fujita
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Satomi Tanaka
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Maki Kanaoka
- School of Nursing, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yukiko Kosai
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noboru Harada
- Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Du L, Hong F, Luo P, Wang Z, Zeng Q, Guan H, Liu H, Yuan Z, Xu D, Nie F, Wang J. The relationship between occupational physical activity and dyslipidaemia in farmers with varying working modes in southwest China: the China multi-ethnic cohort study. BMC Public Health 2022; 22:840. [PMID: 35473489 PMCID: PMC9044674 DOI: 10.1186/s12889-022-13266-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Farmers are the integral members of rural communities. In the present study, we determined the association between occupational physical activity (OPA) of farmers and dyslipidaemia. Methods We included 7649 farmers from The China Multi-Ethnic Cohort (CMEC) Study. The working modes of all farmers were divided into four types according to their self-reported seasonal changes in farming work and/or other job changes (1: no change; 2: changing job; 3: seasonal changes; and 4: seasonal and job changes). OPA was self-reported, and the OPA levels in the four groups were classified as Q1, Q2–Q3, and Q4 by quantile. Dyslipidaemia was defined as the presence of abnormalities in lipid indicators. Binary logistic regression was used to estimate the association between OPA and dyslipidaemia. Results Compared with those in the no change group, the participants in other three groups were younger with lower level of education, annual income, and leisure-time physical activity (LTPA). Active OPA could reduce the risk of dyslipidaemia in the no change [men: odds ratios (OR) = 0.21, 95% confidence intervals (CI): 0.07–0.64; women: OR = 0.43, 95% CI: 0.20–0.93] and seasonal change (men: OR = 0.46, 95% CI: 0.27–0.77; women: OR = 0.59, 95% CI: 0.41–0.86) groups. However, in the seasonal and job change group (men: OR = 3.23, 95% CI: 1.06–9.80; women: OR = 3.24, 95% CI: 1.42–7.41), active OPA increased the risk of dyslipidaemia. Conclusions Different OPA levels might lead to differences in association with blood lipid levels. Thus, OPA guidelines must be developed for farmers, especially for those who experience seasonal changes in farming work and job changes. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13266-x.
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Affiliation(s)
- Lunwei Du
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Peng Luo
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Qibing Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Haiyan Liu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Zhiping Yuan
- University Town of Hospital, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Degan Xu
- Guiyang Center for Disease Control and Prevention, Guiyang, 550003, People's Republic of China
| | - Fang Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China
| | - Junhua Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, People's Republic of China.
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