The influence of environmental constraints within hospitals on physical activity level of cancer patients

Article information

J Exerc Rehabil Vol. 14, No. 3, 382-386, June, 2018
Publication date (electronic) : 2018 June 27
doi : https://doi.org/10.12965/jer.1836240.120
1Department of Community Sport, Korea National Sport University, Seoul, Korea
2Department of Exercise Rehabilitation and Welfare, College of Health Science, Gachon University, Incheon, Korea
*Corresponding author: Eun-Surk Yi, https://orcid.org/0000-0002-9370-5231, Department of Exercise Rehabilitation and Welfare, College of Health Science, Gachon University, 191 Hambangmoe-ro, Yeonsu-gu, Incheon 21936, Korea, Tel: +82-32-820-4442, Fax +82-32-820-4442, E-mail: yies@gachon.ac.kr
Received 2018 April 1; Accepted 2018 May 10.

Abstract

This study aims to examine the influence of hospital environmental constraints on physical activity level of cancer patients. The subjects of this study were 194 cancer patients from five general hospitals in the Seoul metropolitan area (Seoul, Gyeonggi-do, and Incheon). The collected data was analyzed by using SPSS ver. 23.0. As a result of analyzing the effect of environmental constraints on the physical activity level of cancer patients, the constraints related to hospital facilities and programs had no effect on patients’ time spent in a hospital bed and their time spent on daily. However, the time cancer patients spend on intentional physical movements is affected by hospital facilities or programs. This means that hospital facilities or programs play an important role in patients’ intentional physical activities. In conclusion, for hospitalized cancer patients, physical activity levels are influenced by environmental constraints in the hospital. Therefore, it is important to improve the hospital environment to increase physical activities such as walking and physical exercise, which are an important factor for cancer recovery and prevention of recurrence.

INTRODUCTION

Approximately 8.7 million people around the world die from cancer every year (Global Burden of Disease Cancer Collaboration et al., 2017). In providing medical services in a hospital, physical activity has been considered an important factor for patients facing various diseases. Existing studies (Clark et al., 2008; Martin et al., 2009; Meyerhardt et al., 2006; Peddle et al., 2008) that particularly emphasize the benefit of physical activities for recovering patients with cancer have become more important today. Despite the advantages of physical activities, inpatients with cancers, in fact, have a lot of limitations in participating in physical activities due to limitations of the physical environment within a hospital.

According to Weiderpass (2010), 35% of cancer patients, or 3 million lives, could have been saved by physical environment changes. In other words, providing an appropriate environment within the hospital for the physical activities of cancer patients can contribute significantly in helping cancer patients recover from their surgeries and further preventing the recurrence of cancer. Based on these study results, efforts to improve the physical environment within the hospital for cancer patients are undoubtedly crucial (Yang et al., 2015).

Despite evidence supporting the importance of the physical environment in the hospital for cancer patients, the scope of many existing studies is limited to: the effect of physical activities on cancer recurrence (Friedenreich et al., 2010; Oechsle et al., 2014; Persoon et al., 2013; Wiskemann et al., 2014), the effect of physical activities prior to and after cancer surgery (O’Doherty et al., 2013; Singh et al., 2013; West et al., 2015), and the effect after cancer treatments (Kim et al., 2009). There is insufficient analysis of the constraints of patients’ physical activities due to the limitations of current medical services.

Therefore, this study focuses on analyzing the influence of environmental constraints in the hospital on the level of inpatients’ physical activities during hospitalization and identifying the physical space limitations of hospitals in South Korea that may affect the patients’ physical activities. In particular, an empirical study was conducted to verify the physical space constraints patients face in the hospital as the existing studies articulate the importance of cancer patients’ physical activities for their recovery and prevention of recurrence while lacking fundamental supporting evidence.

MATERIALS AND METHODS

Study subjects

In order to analyze the effect of environmental constraints in the hospital on the level of cancer patients’ physical activities, the study subjects—cancer patients who are older than 20 years old—were selected from five general hospitals in the Seoul metropolitan area (Seoul, Gyeonggi-do, and Incheon). The data was collected with a survey conducted on 250 cancer patients from a population selected by purposive sampling. The survey was conducted from March to May 2017, and a total of 194 survey results were used in the final analysis, excluding 56 surveys with disqualifying responses such as unfaithful answers and double or missing entries. Table 1 shows the demographic characteristics of the subjects.

Demographic characteristic

Research tools

To analyze the effect of environmental constraints in the hospital on the level of cancer patients’ physical activities, this study conducted surveys of cancer patients. The first three questions on their sex, age, and diagnosis were used to understand the demographic characteristics of the subjects. Eight questions regarding environmental constraints in hospitals were modified versions of the questions used in the existing studies of Zhu (2001). The last three questions were used to assess the level of cancer patients’ physical activities. The questions consisted of responses regarding three types of activities in terms of patients’ time spent in a hospital: (a) Time spent in a hospital bed (sleeping, watching TV, reading books, and others), (b) Time spent for daily maintenance (eating meals, washing, dressing and others), and (c) Time spent on intentional physical movement (walking, physical exercise, and others).

Reliability and validity of the questionnaire

This study conducted exploratory factor analysis to verify the reliability and validity of the survey results. In order to determine constructive factors, this study used principal component analysis, and to simplify factor qualifications, Varimax rotation was selected. Furthermore, the Kaiser-Meyer-Olkin (KMO) measure of sample adequacy was used for factor analysis. Bartlett’s test of sphericity (χ2) was used for indicating correlation matrices suitable for factor analysis. Question responses were developed by selecting variables with an eigenvalue higher than 1.0.

As a result of exploratory factor analysis, three factors of hospital facilities constraint and four factors of hospital program constraint were identified.

The environmental constraints within the hospital had KMO= 0.724 and χ2=340.928, and in terms of the eigenvalues of hospital facility constraints, the value was 2.695 (variance %: 38.494) while the eigenvalues of hospital program constraints were 1.587 (variance %: 22.673). All factor loadings were based on 0.05 or higher. As a result, one item of the hospital facility constraint factors was removed from eight items of environmental constraints within the hospital. Cronbach α coefficient was used to measure the reliability of each variable. The hospital facility constraint factor was 0.763 and hospital program constraint factor was 0.640.

Data analysis

The purpose of this study was to investigate the effect of environmental constraints on the level of physical activity in cancer patients. In order to conduct the survey, we first requested the collaboration of hospital staff, and researchers and research assistants visited the hospital and met the cancer patients in person to thoroughly explain the purpose and methodology of the survey. The questionnaire was prepared with a self-assessment method. The collected survey data excluded any disqualifying responses such as double or no entry. The qualifying survey data was imported to a computer by independent coding and a statistical program, IBM SPSS Statistics ver. 23.0 (IBM Co., Armonk, NY, USA), was used to conduct analyses such as frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis.

RESULTS

Correlations among the variables

To verify the relationships among variables, this study examined the correlation between each subvariable and analyzed the correlation to confirm multicollinearity. As shown in Table 2, the results show correlations between variables at a level of P<0.05. Furthermore, correlation coefficients between the sub-variables were relatively low (less than 0.80), so there was no issue with multicollinearity. Therefore, the analyses confirmed that each variable is mutually independent. As shown in Table 2, hospital facility constraints were significantly correlated with hospital program constraints and patients’ time spent on intentional physical movement. In addition, hospital program constraints were positively correlated with patients’ time spent on intentional physical movement, and there was also a statistically significant correlation between patients’ time spent on daily maintenance and intentional physical movement.

Correlation analysis

Multiple regression analysis of hospital environmental constraints on the level of physical activity of cancer patients

To identify the effect of environmental constraints on the physical activity level of cancer patients, multiple regression analysis was performed, and the results are shown in Table 3.

Multiple regression analysis of the effects of hospital environment constraints on physical activity of cancer patients

The results in Table 3 show that first, the environmental constraints in the hospital did not affect the physical activity level of cancer patients during the time they spent in a hospital bed, as the descriptive power was 1.5%.

Second, the environmental constraints in the hospital did not affect the cancer patients’ physical activity level during their time spent on daily maintenance, as the descriptive power was approximately 0.8%.

However, the environmental constraints in the hospital had an effect on the cancer patients’ physical activity level during their time spent on intentional physical movement, with a descriptive power of approximately 12.7%. In terms of the environmental effects on patients’ physical activities in the hospital, relative importance was found to be in the order of hospital facility constraint (β=0.286) and hospital program constraint (β=0.147).

DISCUSSION

This empirical study focused on analyzing the effect of environmental constraints of the hospital on the level of cancer patients’ physical activity, and based on the collected data, the results of analyses are as follows:

As a result of analyzing the effect of environmental constraints on the physical activity level of cancer patients, the constraints related to hospital facilities and programs had no effect on patients’ time spent in a hospital bed and their time spent on daily maintenance such as eating meals, washing, and putting on clothes. In other words, regardless of the type of hospital facility or program put in place, the level of patients’ physical activities is unaffected. However, the time cancer patients spend on intentional physical movements is driven by hospital facilities or programs. Existing studies assert that hospital facilities or programs are important factors that affect patients’ intentional physical activities, and thus, patients’ recovery (Codinhoto et al., 2009; Devlin and Arneill, 2003; Huisman et al., 2012). In the same vein, the physical environment of a hospital has a crucial impact on promoting or inhibiting the physical activity of cancer patients. Therefore, as existing studies find that physical activity is an important factor in cancer treatment and the prevention of cancer recurrence, it is necessary that hospitals host an appropriate environment for patients in the effort for cancer treatment and recurrence prevention (Jonas and Chez, 2004; Ulrich, 1992).

In conclusion, for hospitalized cancer patients, physical activity levels are influenced by environmental constraints in the hospital. In particular, it is important to improve the hospital environment to increase physical activities such as walking, which is an important factor for cancer recovery and prevention of recurrence.

Above all, it is important to remember that a more detailed analysis of the characteristics of environmental constraints in hospitals can substantially enhance medical services for cancer patients. Based on the analysis results, this study recommends the following. Since this study did not consider differences in cancer diagnosis characteristics, subsequent studies may conduct in-depth analyses of the medical condition of a hospitalized cancer patient in the hospital considering the possibility that environmental constraints in the hospital may differ by the characteristics of different cancers. Furthermore, this study was limited to analyze the staff members of the hospital in improving the hospital environment. Thus, further research is needed to investigate in depth why hospitals fail to improve the environment in their hospitals, despite widely known existing study results on the benefits of physical activity for the recovery of cancer patients. The findings would contribute greatly to the improvement of the hospital environment for cancer inpatients.

Notes

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

ACKNOWLEDGMENTS

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A5B6913737).

References

Clark, M.M., Novotny, P.J., Patten, C.A., Rausch, S.M., Garces, Y.I., Jatoi, A., Sloan, J.A., & Yang, P. Motivational readiness for physical activity and quality of life in long-term lung cancer survivors. Lung Cancer, (2008). 61, 117–122.
Codinhoto, R., Tzortzopoulos, P., Kagioglou, M., Aouad, G., & Cooper, R. The impacts of the built environment on health outcomes. Facilities, (2009). 27, 138–151.
Devlin, A.S., & Arneill, A.B. Health care environments and patient outcomes. a review of literature. Environ Behav, (2003). 35, 665–694.
Friedenreich, C.M., Woolcott, C.G., McTiernan, A., Ballard-Barbash, R., Brant, R.F., Stanczyk, F.Z., Terry, T., Boyd, N.F., Yaffe, M.J., Irwin, M.L., Jones, C.A., Yasui, Y., Campbell, K.L., McNeely, M.L., Karvinen, K.H., Wang, Q., & Courneya, K.S. Alberta physical activity and breast cancer prevention trial: sex hormone changes in a year-long exercise intervention among postmenopausal women. J Clin Oncol, (2010). 28, 1458–1466.
Global Burden of Disease Cancer Collaboration. Fitzmaurice, C., Allen, C., Barber, R.M., Barregard, L., Bhutta, Z.A., Brenner, H., Dicker, D.J., Chimed- Orchir, O., Dandona, R., Dandona, L., Fleming, T., Forouzanfar, M.H., Hancock, J., Hay, R.J., Hunter-Merrill, R., Huynh, C., Hosgood, H.D., Johnson, C.O., Jonas, J.B., Khubchandani, J., Kumar, G.A., Kutz, M., Lan, Q., Larson, H.J., Liang, X., Lim, S.S., Lopez, A.D., MacIntyre, M.F., Marczak, L., Marquez, N., Mokdad, A.H., Pinho, C., Pourmalek, F., Salomon, J.A., Sanabria, J.R., Sandar, L., Sartorius, B., Schwartz, S.M., Shackelford, K.A., Shibuya, K., Stanaway, J., Steiner, C., Sun, J., Takahashi, K., Vollset, S.E., Vos, T., Wagner, J.A., Wang, H., Westerman, R., Zeeb, H., Zoeckler, L., Abd-Allah, F., Ahmed, M.B., Alabed, S., Alam, N.K., Aldhahri, S.F., Alem, G., Alemayohu, M.A., Ali, R., Al-Raddadi, R., Amare, A., Amoako, Y., Artaman, A., Asayesh, H., Atnafu, N., Awasthi, A., Saleem, H.B., Barac, A., Bedi, N., Bensenor, I., Berhane, A., Bernabé, E., Betsu, B., Binagwaho, A., Boneya, D., Campos-Nonato, I., Castañeda-Orjuela, C., Catalá-López, F., Chiang, P., Chibueze, C., Chitheer, A., Choi, J.Y., Cowie, B., Damtew, S., das Neves, J., Dey, S., Dharmaratne, S., Dhillon, P., Ding, E., Driscoll, T., Ekwueme, D., Endries, A.Y., Farvid, M., Farzadfar, F., Fernandes, J., Fischer, F., G/Hiwot, T.T., Gebru, A., Gopalani, S., Hailu, A., Horino, M., Horita, N., Husseini, A., Huybrechts, I., Inoue, M., Islami, F., Jakovljevic, M., James, S., Javanbakht, M., Jee, S.H., Kasaeian, A., Kedir, M.S., Khader, Y.S., Khang, Y.H., Kim, D., Leigh, J., Linn, S., Lunevicius, R., El Razek, H.M.A., Malekzadeh, R., Malta, D.C., Marcenes, W., Markos, D., Melaku, Y.A., Meles, K.G., Mendoza, W., Mengiste, D.T., Meretoja, T.J., Miller, T.R., Mohammad, K.A., Mohammadi, A., Mohammed, S., Moradi-Lakeh, M., Nagel, G., Nand, D., Le Nguyen, Q., Nolte, S., Ogbo, F.A., Oladimeji, K.E., Oren, E., Pa, M., Park, E.K., Pereira, D.M., Plass, D., Qorbani, M., Radfar, A., Rafay, A., Rahman, M., Rana, S.M., Søreide, K., Satpathy, M., Sawhney, M., Sepanlou, S.G., Shaikh, M.A., She, J., Shiue, I., Shore, H.R., Shrime, M.G., So, S., Soneji, S., Stathopoulou, V., Stroumpoulis, K., Sufiyan, M.B., Sykes, B.L., Tabarés-Seisdedos, R., Tadese, F., Tedla, B.A., Tessema, G.A., Thakur, J.S., Tran, B.X., Ukwaja, K.N., Uzochukwu, B.S.C., Vlassov, V.V., Weiderpass, E., Wubshet Terefe, M., Yebyo, H.G., Yimam, H.H., Yonemoto, N., Younis, M.Z., Yu, C., Zaidi, Z., Zaki, M.E.S., Zenebe, Z.M., Murray, C.J.L., & Naghavi, M. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: a systematic analysis for the global burden of disease study. JAMA Oncol, (2017). 3, 524–548.
Huisman, E.R., Morales, E., van Hoof, J., & Kort, H.S. Healing environment: a review of the impact of physical environmental factors on users. Build Environ, (2012). 58, 70–80.
Jonas, W.B., & Chez, R.A. Toward optimal healing environments in health care. J Altern Complement Med, (2004). 10, (Suppl 1)S1–6.
Kim, C.J., Kang, D.H., & Park, J.W. A meta-analysis of aerobic exercise interventions for women with breast cancer. West J Nurs Res, (2009). 31, 437–461.
Martin, C.K., Church, T.S., Thompson, A.M., Earnest, C.P., & Blair, S.N. Exercise dose and quality of life: a randomized controlled trial. Arch Intern Med, (2009). 169, 269–278.
Meyerhardt, J.A., Heseltine, D., Niedzwiecki, D., Hollis, D., Saltz, L.B., Mayer, R.J., Thomas, J., Nelson, H., Whittom, R., Hantel, A., Schilsky, R.L., & Fuchs, C.S. Impact of physical activity on cancer recurrence and survival in patients with stage III colon cancer: findings from CALGB 89803. J Clin Oncol, (2006). 24, 3535–3541.
O’Doherty, A.F., West, M., Jack, S., & Grocott, M.P. Preoperative aerobic exercise training in elective intra-cavity surgery: a systematic review. Br J Anaesth, (2013). 110, 679–689.
Oechsle, K., Aslan, Z., Suesse, Y., Jensen, W., Bokemeyer, C., & de Wit, M. Multimodal exercise training during myeloablative chemotherapy: a prospective randomized pilot trial. Support Care Cancer, (2014). 22, 63–69.
Peddle, C.J., Au, H.J., & Courneya, K.S. Associations between exercise, quality of life, and fatigue in colorectal cancer survivors. Dis Colon Rectum, (2008). 51, 1242–1248.
Persoon, S., Kersten, M.J., van der Weiden, K., Buffart, L.M., Nollet, F., Brug, J., & Chinapaw, M.J. Effects of exercise in patients treated with stem cell transplantation for a hematologic malignancy: a systematic review and meta-analysis. Cancer Treat Rev, (2013). 39, 682–690.
Singh, F., Newton, R.U., Galvão, D.A., Spry, N., & Baker, M.K. A systematic review of pre-surgical exercise intervention studies with cancer patients. Surg Oncol, (2013). 22, 92–104.
Ulrich, R.S. How design impacts wellness. Healthc Forum J, (1992). 35, 20–25.
Weiderpass, E. Lifestyle and cancer risk. J Prev Med Public Health, (2010). 43, 459–471.
West, M.A., Loughney, L., Lythgoe, D., Barben, C.P., Sripadam, R., Kemp, G.J., Grocott, M.P., & Jack, S. Effect of prehabilitation on objectively measured physical fitness after neoadjuvant treatment in preoperative rectal cancer patients: a blinded interventional pilot study. Br J Anaesth, (2015). 114, 244–251.
Wiskemann, J., Kuehl, R., Dreger, P., Schwerdtfeger, R., Huber, G., Ulrich, C.M., Jaeger, D., & Bohus, M. Efficacy of exercise training in SCT patients--who benefits most? Bone Marrow Transplant, (2014). 49, 443–448.
Yang, E.J., Chung, S.H., Jeon, J.Y., Seo, K.S., Shin, H.I., Hwang, J.H., & Lim, J.Y. Current practice and barriers in cancer rehabilitation: perspectives of Korean physiatrists. Cancer Res Treat, (2015). 47, 370–378.
Zhu, W., Timm, G., & Ainsworth, B. Rasch calibration and optimal categorization of an instrument measuring women’s exercise perseverance and barriers. Res Q Exerc Sport, (2001). 72, 104–116.

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Table 1

Demographic characteristic

Variable No. of subjects (%)
Sex
 Male 72 (37.1)
 Female 122 (62.9)

Age (yr)
 <40 8 (4.1)
 In 40s 32 (16.5)
 In 50s 69 (35.6)
 In 60s 48 (24.7)
 ≥70 37 (19.1)

Cancer diagnosis
 Breast cancer 51 (26.3)
 Colon cancer 33 (17)
 Gastric cancer 20 (10.3)
 Uterine cancer 11 (5.7)
 Lung cancer 11 (5.7)
 Rectal cancer 9 (4.6)
 Leukemia 9 (4.6)
 Brain tumor 8 (4.1)
 Other* 42 (21.7)

Total 194 (100)
*

Other types of cancer: liver cancer (6), lymphoma (6), blood cancer (5), ovarian cancer (5), myeloma (3), gallbladder cancer (2), dermatofibrosarcoma (2), thyroid cancer (2), spinal tumor (2), head and neck cancer (2), cerebral infarction (1), brain cancer (1), pancreatic cancer (1), osteosarcoma (1), biliary cancer (1), esophageal cancer (1), pharynx cancer (1).

Table 2

Correlation analysis

a b c d e
a 1.000
b 0.274** 1.000
c 0.119 0.056 1.000
d −0.042 −0.089 0.088 1.000
e 0.327** 0.225** −0.033 0.161* 1.000

a, hospital facility constraint; b, hospital program constraint; c, time spent in a hospital bed; d, time spent for daily maintenance; e, time spent on intentional physical movement.

*

P<0.05.

**

P<0.01.

Table 3

Multiple regression analysis of the effects of hospital environment constraints on physical activity of cancer patients

Variable Unstandardized factor Standardized factor t P-value


B Standard error β
Time spent in hospital bed
 Hospital facility constraints 0.136 0.091 0.112 1.504 0.134
 Hospital program constraints 0.029 0.086 0.025 0.340 0.734
 F=1.438, R2=0.015

Time spent for daily maintenance
 Hospital facility constraints −0.024 0.098 −0.019 −0.249 0.804
 Hospital program constraints −0.104 0.093 −0.084 −1.117 0.265
 F=0.791, R2=0.008

Time spent on intentional physical movement
 Hospital facility constraints 0.470 0.115 0.286 4.071 0.000
 Hospital program constraints 0.228 0.109 0.147 2.087 0.038
 F=13.839***, R2=0.127
***

P<0.001.