Skip to main content

Physical activity in Sahara Moroccan hemodialysis patients

Abstract

Objective

The evaluation of physical activity for chronic hemodialysis patients is a new approach for patient global care. The objective of this work is to evaluate the physical activity in chronic hemodialysis patients and identify the risk factors associated with reduced physical activity. This is a prospective study for 6 months including 150 chronic hemodialysis patients in the Guelmim-Oued Noun Regionin Moroccan Sahara. We use Baecke's survey, translated and validated in Arabic local language. The socio-demographic, clinical, and biological data were completed during the interrogation and from the medical records of the patients.

Results

The mean age of our patients was 54.6 ± 16.4 years, with male predominance (59%). Most patients have a low education level and 60% were illiterate. Hypertension was found in 54% of our patients, diabetes in 39%, and cardiovascular disease in 10% of patients. Low Physical activity was associated with gender (OR = 4.05), age (OR = 1.03) and high education level (OR = 0.2). Our work has met the various pre-established objectives, however other more specific studies must be conducted to better characterize the profile of physical activity in chronic hemodialysis patients.

Introduction

The prevalence of end-stage renal disease (ESRD) treated with hemodialysis (HD) is increasing dramatically worldwide. In Morocco, the number of hemodialysis patients was around 7000 patients in 2008 while in December 2018 this number reached 30,000 patients according to the Moroccan society of nephrology [1, 2]. HD has completely transformed the course of chronic renal failure by improving patient survival and quality of life. However, HD is still associated with high morbidity and mortality, including the reduction of autonomy and physical activity. In this context, several studies have shown the benefit of maintaining or resuming physical activity on the health of chronic hemodialysis patients [3,4,5,6].

Physical activity is defined by the world health organization as any bodily movement produced by skeletal muscles that require energy expenditure [7]. Popular ways to be active are through walking, cycling, sports, recreation, and can be done at any level of skill and for enjoyment. This includes movements made while working, playing, doing household chores, moving around, and during leisure activities. Baecke developed in the Netherlands a questionnaire for evaluating physical activity and separating it into three representative indices: the work activity index, the sports activity index, and the index leisure activity [8]. This survey was validated as a PA assessment tool by many authors [9].

The objective of our study was to analyze the level of physical activity in chronic hemodialysis patients in Moroccan Sahara and to identify the risk factors for reduced physical activity in this area. The region Guelmim has 433,757 inhabitants, 65% of whom are urban with 9.4 inhabitants / km2 of density and it contains four provinces: Guelmim, Sidi Ifni, Tan-Tan and Assa Zag,

Main text

Methods

It is a prospective descriptive-analytical study spread over 6 months, from April 2019 to October 2019. This study involved a cohort of 150 hemodialysis patients in all hemodialysis centers in the Guelmim-Oued-Noune region:

  • Hemodialysis Center of the Military Hospital at Guelmim (27 patients)

  • Hemodialysis center of the Guelmim regional hospital (60 patients)

  • Guelmim private hemodialysis center (32 patients)

  • Sidi Ifni hemodialysis center (20 patients)

  • Assa Hemodialysis Center (5 patients)

  • Tan-Tan hemodialysis center (6 patients)

Inclusion criteria

we included patients on hemodialysis for more than six months, Clinically stable patients in absence of a major handicap reducing mobility (limb amputation, paraplegic, or requiring a wheelchair to move).

Exclusion criteria

we excluded patients with hearing impairment, Acute renal failure, and patients not consenting.

Data collection

The parameters likely to influence physical activity (PA) in chronic hemodialysis patients were studied. Social—demographic data were completed during the interrogation and clinical – biological data of patients were collected from the medical files: Demographic data, Socio-professional categories, clinical data, biological parameters, and dialysis data.

Physical activity

We assessed the physical activity of our patients using the Baecke survey consisting of 16 questions. It is self-administered, and allows in its initial form, to determine a work activity index (WAI, eight questions), a sports activity index (SAI, four questions), and a leisure activity index (LAI, four questions). An adaptation was made, which reduced the questionnaire to five questions. The answers to the first two questions determine the SAI: the combination of the intensity of the sport, its frequency of practice per week, and over the year, makes it possible to calculate the SAI. The average of the answers to the other three questions on a five-point scale allows the calculation of the leisure activity index (WAI). In our study, we studied the leisure activity of our patients (WAI). The development of the questionnaire involved several stages to adapt it to our Moroccan cultural context. The adaptation methodology we followed can be summarized as follows:

  • Independent translations (from French to Moroccan Dialectal), before the summary translation which was carried out by a group of professionals representing skills in different disciplines (Nephrologists, Professors of the French language…).

  • Modification of the questionnaire according to the equivalence of the Arabic Dialectal version compared to the original questionnaire on the one hand, and according to the remarks and misunderstandings of the patients who participated in the pre-test on the other hand.

  • Counter-translation into French.

Statistical analysis

The descriptive analysis of clinical, socio-demographic, and biological data allowed the calculation of the absolute and relative frequencies for the qualitative variables, and the positioning and dispersion parameters for the quantitative variables (mean, standard deviation).

The normal distribution of variables was studied by the Kolmogorov–Smirnov test.

  • In bivariate analysis, the comparison of continuous variables used the Student test and the Mann Whitney test. In the multivariate analysis, we used binary logistic regression.

  • The significance threshold was retained for a p < 0.05.

  • The statistical analysis was performed using IBM SPSS version 20.0 software.

The study respected patient anonymity and the confidentiality of medical information.

Results

The average age of our 150 included patients was 54.6 ± 16.4 years, with extremes ranging from 18 to 85 years, a male predominance was noted with a sex ratio of 89 M/61F. The demographics of our study population are summarized in Table 1.

Table 1 Characteristics of patients at inclusion

Most patients have a low level of education and 38% of patients have no job. 65% of patients live in an urban location, 30% are retired and 18% are students. The ministry of health paid hemodialysis for up to 61% of patients and others were covered by a social security system (employees, military…).

Clinical data

12% of patients have an arteriopathy and 7% have a lower limb fracture. For comorbidities, we found hypertension in 54%, diabetes in 39%, and cardiopathy in 10%

Physical activity

Only 19% of patients report having regular physical and/or sporting activity (walking, football). 19% of patients report having no physical activity and are mainly patients assisted in their daily activities by a third person. 63% of cases report difficulty performing significant physical efforts (running, lifting a heavy object). Regarding the means of transport used to get to hemodialysis centers, most of our patients (88%) used a vehicle (car, motorbike, etc.) while only 11% came on foot.

The calculation of physical activity indices revealed the following information: in patients who practice sports, the mean sports activity index (SAI) is 0.79 ± 0.7. Moreover, the average leisure activity index (LAI) is 2.45 ± 1.2. The average of these 2 indices is equal to 1.62 ± 0.8 which corresponds to limited physical activity, and this in the different aspects of the daily life of our HD patients.

Low Physical activity risk factors

To search risk factors of low activity, we compare two groups: group A with low physical activity defined by a global activity index (GAI) less than 5 and group B with intermediate or high physical activity (Table 2). In the univariate analysis, we found that low activity is associated with age, female, living in a rural area, diabetes, 2 dialysis sessions by week, use of anti-hypertension drugs, and car for coming to hemodialysis center. However, after including all factors in a multivariate model only three risk factors still significant: elderly patients (OR = 1,03), female (OR = 4,05), and low education level (illiterate and primary school).

Table 2 Risk factors of low physical activity in univariate and multivariate analysis

Discussion

It is a prospective descriptive-analytical study that required fieldwork and a trip between all the centers in the GUELMIM-OUED NOUN region. The distance traveled during the completion of this work is estimated at 648 km. The PA assessment was carried out using the Beacke survey and has been the focus of several studies which is considered to be one of the most reproducible [10, 13].

According to the literature review, the average age varies between 51.6 and 69 years. The results of our series showed an average age of 54.6 years [8, 11]. Several series in the literature report a predominance of men, notably a local Moroccan study carried out by Karimi [14] at the Al Fârâbî hospital in Oujda with a sex ratio of 45 M/38F, that of Fiaccadorie [15] carried out in Italy with a percentage of 67% male, and that of Matsuzawa [16] in Japan had a male predominance of 55%. This joins our study where the male sex is predominant with a percentage of 60%.

During our study, it turned out that the majority of our patients had a low socioeconomic level, with a thatching rate of 38%. Although the illiterate rate has decreased in Morocco thanks to programs to combat illiteracy, 61% of our population, unfortunately, was illiterate as reported by Karimi's study where the majority of patients were unemployed and illiterate [14].

Diabetes, hypertension, and cardiovascular disease are the most prevalent chronic diseases according to the literature review and were also found in our patients (diabetes 39%, hypertension 54%). In particular, diabetes, which was the leading cause of chronic kidney disease (46%) in our patients, followed by hypertension (25%).

The mean duration of hemodialysis in our study was 65.41 months. The majority of our patients are on dialysis twice a week, joining the study by Karimi [14], where most of the patients were also dialyzed twice a week, with an average duration of hemodialysis of 102.4 ± 41,9 months.

During our study, it turned out that only 19% of patients had regular physical activity. This is due to three risk factors: gender, age and low education level.

We found that females on hemodialysis in Moroccan Sahara are at high risk of low physical activity (OR 4.05). This result is supported by some studies showing that men are more active than women [17]. This can be explained by the lack of adherence to recommended physical activity which is significantly more frequent in women as found by Hornick and al [18]. The built environment also has a positive effect on physical activity in women more than men like movability index calculated based on residential density, land use mix, street connectivity, availability of public transport, and public open spaces) [19,20,21]. These conditions are not yet very available in such context of Sahara.

Our study shows that elderly subjects have a decreased PA compared to the youngest subjects, which joins Karimi's study. Older patients spent up to 8 h a day inactive corresponding to around 80% of their waking time [22]. This can be explained by the lack of energy and fatigue reported by several elderly respondents, in addition to the chronic pain experienced by these patients. The impact of chronic pain on the quality of life of patients is currently proven by several authors [23]. Pain is responsible for discomfort in daily activity in 67% of cases [24]. This pain can be explained by amyloidosis b2 microglobulin. The presence of amyloid deposits mainly in articular and para-articular tissues (synovial membranes, tendons, ligaments) and in bones clinically cause the appearance of joint and peri-articular pain syndromes and ductal syndromes [25].

High education level has a positive effect on PA and educated people are more physically active and pay more attention to their health [26, 27]. Varo and al (EU study) showed that people with primary level education were more sedentary than people with higher levels of education [28]. The majority of our hemodialysis patients are illiterate (61%) and the correlation of illiteracy with decreased PA can be explained in part by ignorance of the importance of regular physical activity in these patients. The study by Capitanini [29] carried out in Italy in 2014, showed that the lack of specific advice concerning physical exercise in nephrology establishments favored a sedentary lifestyle. This element should be taken into account especially when it comes to a low educated population.

Limitations

We use a subjective means to quantify the PA of patients and The lack of financial support did not allow us to buy pedometers to better quantify the PA of our patients. We, therefore, used the Baecke survey as a tool to assess PA. We also had Incomplete biological data in some files: During operation, KT/V was mentioned in only 32 files. Only 75 files were complete. In the 75 remaining files, the phosphocalcic balance was incomplete or completely absent.

Availability of data and materials

Data are available any time for control and the datasets used and/or analysed during the current study available from the corresponding author on reasonable request: Bahadi Abdelaali; bahadiali@gmail.com.

Abbreviations

ESRD:

End stage renal disease

HD:

Hemodialysis

PA:

Physical activity

Hb:

Haemoglobin

PTH:

Parathormone

CRP:

C reactive protein

WAI:

Work activity index

SAI:

Sport activity index

LAI:

Leisure activity index

GAI:

Global activity index

OR:

Odds ratio

References

  1. 1.

    Benghanem Gharbi M, Couchoud C. Epidémiologie de l’insuffisance rénale chronique et besoins en greffe dans les pays du Maghreb. Les 2èmes Journées de l’Agence de Biomédecine, 23 & 24 Mai 2011, Paris.

  2. 2.

    Belghiti Alaoui A. Les maladies non transmissibles : quels défis pour le Maroc ? 8ème Congrès National de Néphrologie, 18–20 Mars 2010. Agadir.

  3. 3.

    Lou X, Li Y, Shen H, Juan J, He Q. Physical activity and somatic symptoms among hemodialysis patients: a multi-center study in Zhejiang, China. BMC Nephrol. 2019;20(1):477. https://doi.org/10.1186/s12882-019-1652-z (PMID:31878896;PMCID:PMC6933661).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Müller-Ortiz H, Pedreros-Rosales C, Vera-Calzaretta A, González-Burboa A, Zúñiga-San Martín C, Oliveros-Romero MS. Exercise training in advanced chronic kidney disease. Rev Med Chil. 2019;147(11):1443–1448. Spanish. doi: https://doi.org/10.4067/S0034-98872019001101443. PMID: 32186605.

  5. 5.

    Zhao J, Qi Q, Xu S, Shi D. Combined aerobic resistance exercise improves dialysis adequacy and quality of life in patients on maintenance hemodialysis. Clin Nephrol. 2020;93(6):275–82. https://doi.org/10.5414/CN110033 (PMID: 32271146).

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Ortega-Pérez de Villar L, Martínez-Olmos FJ, Pérez-Domínguez FB, et al. Comparison of intradialytic versus home-based exercise programs on physical functioning, physical activity level adherence, and health-related quality of life pilot study. Sci Rep. 2020;10(1):8302. https://doi.org/10.1038/s41598-020-64372-y.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    WHO. https://www.who.int/news-room/fact-sheets/detail/physical-activity

  8. 8.

    Baecke JAH, Burema J, Frijters ER. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36:936–42.

    CAS  Article  Google Scholar 

  9. 9.

    Bigard AX, Duforez F, Portero P, Guezennec CY. Assessment of physical activity by questionnaire: validity of the Baecke questionnaire. Sci Sports. 1992;7:2015–221.

    Google Scholar 

  10. 10.

    Laëtitia Vassieux, Bérénice Brès, Caroline Heuzé, Benjamin Geniaux, Gaëtan Jeudy. Ativités physiques et sportives pour la santé : Des recommandations à la pratique 2015; 2: 11–12

  11. 11.

    Panaye M, Kolko-Labadens A, Lasseur C, Paillasseur JL, Guillodo MP, Levannier M, Teta D, Fouque D. Phenotypes influencing low physical activity in maintenance dialysis. J Ren Nutr. 2015;25(1):31–9.

    Article  Google Scholar 

  12. 12.

    Avesani CM, Trolonge S, Deléaval P, et al. Physical activity and energy expenditure in haemodialysis patients: an international survey. Nephrol Dial Transplant. 2012;27(6):2430–4.

    Article  Google Scholar 

  13. 13.

    P Bacquaert, Bacquaert MA. Questionnaire d’Auto-évaluation du niveau de sédentarité—Revue de littérature. https://www.irbms.com/questionnaire-dauto-evaluation-du-niveau-de-sedentarite-revue-de-litterature/

  14. 14.

    Karimi I, Benabdellah N, Bentata Y, Yacoubi H, Haddiya I. Evaluation du niveau d’activité physique dans un service Marocain d’hémodialyse chronique. Pan Afr Med J. 2013;15:79.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Fiaccadori E1, Sabatino A, Schito F, Angella F, Malagoli M, Tucci M, Cupisti A, Capitanini A, Regolisti G. Barriers to physical activity in chronic hemodialysis patients a single-center pilot study in an Italian dialysis facility. Kidney Blood Press Res 2014;39(2–3):169–75

  16. 16.

    Matsuzawa R, Roshanravan B, Shimoda T, Mamorita N, Yoneki K, Harada M, Watanabe T, Yoshida A, Takeuchi Y, Matsunaga A. Physical activity dose for hemodialysis patients: where to begin? results from a prospective cohort study. J Ren Nutr. 2018;28(1):45–53.

    Article  Google Scholar 

  17. 17.

    Hornik B, Duława J. Frailty, quality of life, anxiety, and other factors affecting adherence to physical activity recommendations by hemodialysis patients. Int J Environ Res Public Health. 2019;16(10):1827.

    Article  Google Scholar 

  18. 18.

    Hui Kang S, Do JY, Jeong HY, Lee SY, Kim JC. The clinical significance of physical activity in maintenance dialysis patients. Kidney Blood Press Res. 2017;42:575–86.

    Article  Google Scholar 

  19. 19.

    Tcymbal A, Demetriou Y, Kelso A, et al. Effects of the built environment on physical activity: a systematic review of longitudinal studies taking sex/gender into account. Environ Health Prev Med. 2020;25(1):75. https://doi.org/10.1186/s12199-020-00915-z (PMID: 33246405; PMCID: PMC7697377).

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Panter J, Ogilvie D. iConnect C Can environmental improvement change the population distribution of walking? J Epidemiol Comm Health. 2017;71(6):528–35.

    Article  Google Scholar 

  21. 21.

    Brown BB, Werner CM. A new rail stop. Tracking moderate physical activity Bouts and ridership. Am J Prev Med. 2007;33(4):306–9.

    Article  Google Scholar 

  22. 22.

    Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008;167(7):875–81.

    Article  Google Scholar 

  23. 23.

    Nasr M, Hadj Ammar M, Khammouma S, et al. Haemodialysis and its impact on the quality of life. Nephrol Ther. 2008;4(1):21–7.

    Article  Google Scholar 

  24. 24.

    Bouattar T, Skalli Z, Rhou H, Ezzaitouni F, et al. The evaluation and analysis of chronic pain in chronic hemodialysis patients. Nephrol Ther. 2009;5(7):637–41.

    Article  Google Scholar 

  25. 25.

    Ben Salah FZ, Dziri C, Mokni M. Douleurs ostéoarticulaires chez le dialysé chronique et médecine physique et de réadaptation. Journal de Réadaptation Médicale : Pratique et Formation en Médecine Physique et de Réadaptation. 2012;32(1):19–26.

    Google Scholar 

  26. 26.

    Kleinke F, Penndorf P, Ulbricht S, Dörr M, Hoffmann W, van den Berg N. Levels of and determinants for physical activity and physical inactivity in a group of healthy elderly people in Germany: Baseline results of the MOVING-study. PLoS ONE. 2020;15(8):e0237495.

    CAS  Article  Google Scholar 

  27. 27.

    Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):1996–2001.

    Article  Google Scholar 

  28. 28.

    Varo JJ, Martinez-Gonzalez MA, De Irala-Estevez J, Kearney J, Gibney M, Martinez JA. Distribution and determinants of sedentary lifestyles in the European Union. Int J Epidemiol. 2003;32(1):138–46.

    Article  Google Scholar 

  29. 29.

    Capitanini A, Lange S, D’Alessandro C, Salotti E, Tavolaro A, Baronti ME, Giannese D, Cupisti A. Dialysis exercise team: the way to sustain exercise programs in hemodialysis patients. Kidney Blood Press Res. 2014;39(2–3):129–33.

    CAS  Article  Google Scholar 

Download references

Acknowledgements

We thank nephrologist and nurses of hemodialysis centers at Tantan, guelmim, Assa and sidi ifni in Moroccan sahara.

Funding

This work has no funding support.

Author information

Affiliations

Authors

Contributions

AB: writing and literature revue. HL: data collection. SB: data collection. YZ: statistic analysis. DE: manuscript correction. NZ: conception of study and correction.

Corresponding author

Correspondence to A. Bahadi.

Ethics declarations

Ethics approval and consent to participate

The study was carried out with respect for patient anonymity and the confidentiality of medical information. The study was approved by the Moroccan ministry of health at September the 3rd 2019 with a written consent of all participants.

Consent for publication

Not applicable.

Competing interests

Authors declare no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Bahadi, A., Lagtarna, H., Benbria, S. et al. Physical activity in Sahara Moroccan hemodialysis patients. BMC Res Notes 14, 65 (2021). https://doi.org/10.1186/s13104-021-05460-8

Download citation

Keywords

  • Hemodialysis
  • Physical activity
  • Sahara
  • Morocco
  • Education