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Article

Accelerometer-Measured Physical Activity, Inactivity, and Related Factors in Family Caregivers of Patients with Terminal Cancer

by
Inmaculada Valero-Cantero
1,
Cristina Casals
2,3,*,
Juan Corral-Pérez
2,3,
Francisco Javier Barón-López
4,5,
Julia Wärnberg
5,6 and
María Ángeles Vázquez-Sánchez
6,7
1
Puerta Blanca Clinical Management Unit, Malaga-Guadalhorce Health District, 29004 Malaga, Spain
2
ExPhy Research Group, Department of Physical Education, University of Cadiz, Puerto Real, 11519 Cadiz, Spain
3
Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, 11009 Cadiz, Spain
4
Department of Preventive Medicine, Public Health and Science History, University of Malaga, 29071 Malaga, Spain
5
Malaga Biomedical Research Institute (IBIMA), 29590 Malaga, Spain
6
Department of Nursing, Faculty of Health Sciences, University of Malaga, 29071 Malaga, Spain
7
PASOS Research Group, UMA REDIAS Network of Law and Artificial Intelligence Applied to Health and Biotechnology, University of Malaga, 29071 Malaga, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(1), 179; https://doi.org/10.3390/ijerph20010179
Submission received: 6 October 2022 / Revised: 6 December 2022 / Accepted: 16 December 2022 / Published: 22 December 2022
(This article belongs to the Special Issue Research on Informal Caregivers)
Browse Figure
Review Reports Versions Notes

Abstract

:
The physical activity (PA) and inactivity of family caregivers of cancer patients were investigated and related to burden and quality of life through a cross-sectional multicentre study. A total of 75 caregivers were recruited from June 2020 to March 2021. The levels of PA and inactivity were estimated with a wrist accelerometer, 24 h a day, for 7 consecutive days. The Quality of Life Family Version, the Caregiver Strain Index, the total duration of care, the average number of hours spent in care, and the assistance received were registered. Our results showed that moderate-to-vigorous PA was 96.40 ± 46.93 min/day, with 90.7% of participants performing more than 150 min/week of physical activity, and this was significantly associated with age (r = −0.237). Daily inactivity was 665.78 ± 94.92 min, and inactivity for 20–30 min was significantly associated with caregiver burden (r = 0.232) and quality of life (r = −0.322). Compliance with the World Health Organization recommendations was significantly associated with a lower quality of life (r = −0.269). The strength of these associations was limited (r ~0.2). In conclusion, the PA performed by most caregivers met the established recommendations, although older caregivers (>65 years old) performed lower moderate-to-vigorous PA than younger ones. In addition, the mean inactive time was high (11 h/day), showing slight relationships with the burden and quality of life of caregivers.

1. Introduction

Informal caregivers of patients in home palliative care are usually family members who spend a large part of their day providing accompaniment, care, and attention. Indeed, the time dedicated to this care may approach 24 h a day, especially for caregivers who do not have paid work outside the home [1]. Moreover, palliative care is often maintained over many months, and even before this (terminal) stage, many caregivers have spent long periods providing for the person with cancer [2]. This situation can lead to social isolation resulting in physical inactivity [3].
The World Health Organization (WHO) currently recommends that adults should engage in at least 150 min per week of physical activity of moderate-to-vigorous intensity (MVPA). Previous WHO recommendations stipulated that aerobic activity should be performed in sessions lasting at least ten minutes. However, new evidence, obtained via electronic monitoring devices, shows that physical activity of any duration (i.e., with no minimum threshold) is also associated with a better health outcome [4].
Caregivers may experience physical harm of varying degrees of severity, especially among older caregivers, such as musculoskeletal disorders [5,6], pain [7], and weight gain [8]. Furthermore, they are at an increased risk of mental disorders, such as depression and anxiety, of caregiver burden, and worsening of the overall quality of life [9]. This is relevant to highlight that these outcomes are often related to the presence and intensity of the patient’s symptoms [10,11,12].
Regular physical activity is beneficial in many ways, including improved mental health [13] and reduced depression [14,15] and anxiety [16]. It also has cardiorespiratory benefits, contributing to the prevention of chronic non-communicable diseases such as cardiovascular disease [17] and has a protective effect against Alzheimer’s disease [18]. In contrast, physical inactivity and a sedentary lifestyle provide no such advantages and may provoke tangible harm [19,20,21].
Little is known about the physical activity of family caregivers and associated factors, especially in caregivers of patients with advanced cancer, and the relationship between the levels of physical activity and inactivity with the caregiver’s situation. A recent systematic review considered the contribution of a programme of physical exercise for the family caregivers of patients with chronic diseases, concluding that it achieved minor-to-moderate improvements in the caregivers’ mental and physical health. However, after eliminating the studies probably subject to bias, the observed improvement was no longer significant [22].
Hence, the aim of the present study was to evaluate the accelerometer-measured physical activity and inactivity time of caregivers of patients with advanced cancer in home palliative care and also to examine the relationship between the caregiver burden and quality of life.

2. Materials and Methods

2.1. Design

Cross-sectional descriptive study, carried out in six clinical management units in the context of primary healthcare in Andalusia, Spain. A sample of 75 participants was estimated as necessary using the Epidat 4.2 program for an alpha error of 0.05 and an estimation error of 0.5, according to previous research [23]. According to our main associations, the relationship between quality of life and sustained inactivity bouts of 20 to 30 min and with total MVPA, we obtained a computing-achieved power of 0.82 and 0.86, respectively, using the G*Power software (v. 3.1.9.6, University of Kiel, Germany).

2.2. Participants

The following inclusion criteria were applied: (i) family caregiver of a cancer patient receiving home palliative care; (ii) aged at least 18 years. The exclusion criteria were: (i) allergy to plastic or metal; (iii) not acting as a caregiver during the entire seven days of the study period. Potential study participants were identified from the patient lists of the Palliative Care Assistance Process.
The 75 caregivers participating in the study were recruited between June 2020 and March 2021. At the initial contact with the caregiver, the researcher concerned checked that all inclusion criteria were met. If so, full information about this study was given, and the caregiver’s signed informed consent to participate was requested. Each family caregiver was interviewed by a nurse in the patient’s home and asked to complete the study questionnaire and to wear the wrist accelerometer 24 h a day for seven consecutive days.

2.3. Data Collection

2.3.1. Sociodemographic Factors

For each participant, the following sociodemographic factors were considered: age, sex, education, employment status, marital status, number of children, and relationship with the patient.

2.3.2. Physical Activity and Inactivity Measured by Accelerometry

Study data were obtained using a GeneActiv triaxial accelerometer (Activinsights Ltd., Kimbolton, Cambs, UK), set to 40 Hz, and worn on the wrist of the non-dominant hand, 24 h a day for seven days. Data were downloaded as “bin” files using GENEActiv PC software (Activinsights Ltd., Kimbolton, Cambs, UK) and processed using the open-source R-package GGIR v.2.7-0 (R Core Team, Vienna, Austria) (https://cran.r-project.org/web/packages/GGIR/index.html) (accessed on 4, July, 2022) to determine periods of sustained inactivity and physical activity and sleep patterns. This open-source code was validated for self-calibrated functions. The sensor calibration error was minimised by auto-calibration of the data based on local gravity, as described by van Hees et al. [24].
Accelerations were determined as the Euclidean norm minus one (ENMO), i.e., √(x2 + y2 + z2) − 1G (where 1G ~9.8 m/s2) (negative values rounded to zero). Non-wear periods (based on the raw acceleration of the three axes, each 15 min block was classified as non-wear time if the SD of two of the three axes was <13 mG during the surrounding 60 min moving window or if the value range for two of the three axes was <50 mG) and sustained abnormally high accelerations (higher than 5.5 G for at least 15 min, related to device malfunctioning) were discounted [25]. Waking and sleeping hours were identified using an automatized algorithm [26]. Only results from participants with a wear time ≥16 h/d for at least four days (at least three weekdays and at least one weekend day) were considered valid. In each category, bouts of sustained inactivity were recorded when 80% of the threshold criteria were met.
Sustained inactivity bouts (SIB) are periods that during the night would be labelled as sleep but which during the day form a subclass of inactivity, which may represent daytime sleep or wakefulness while being motionless for a sustained period of time. During the day, SIB may refer to napping or similar sustained wrist inactivity. Sustained inactivity is detected as the absence of change in arm angle greater than five degrees for five minutes or more and is classified using the ENMO threshold of <40 mG in the non-dominant wrist [26,27,28,29]. The following SIB-related variables were considered: total duration of SIB (minutes/day), time spent in SIB in bouts of 1–10, 10–20, 20–30, and >30 min, and total number of SIBs.
For physical activity, the following variables were considered: total time of light physical activity (total LPA), defined as 40–100 mG; time spent in LPA in bouts of 1–10 min and >10 min; number of bouts of LPA; total time of moderate physical activity (total MPA), defined as 100–430 mG; total time in vigorous physical activity (total VPA), defined as ≥430 mG; total time in moderate-to-vigorous physical activity (total MVPA), defined as ≥100 mG; time spent in MVPA in bouts of 1–10 min and >10 min; number of bouts of MVPA [28,29,30,31]. Compliance with WHO criteria was scored as one if at least 150 min per week of MVPA were performed and as zero when this was not the case.
Sleep analysis was performed taking into account total time spent in bed (calculated as the difference between sleep onset and waking time), total sleep time (the accumulated nocturnal SIB during the sleep period), and sleep efficiency (the ratio between total sleep time and total time in bed) [26].

2.3.3. Assessment of Caregiver’s Quality of Life

The caregiver’s quality of life was assessed using the Quality of Life Family Version (QoL-FV) instrument [32], as validated for use in Spanish [33]. This instrument was created to determine the quality of life of family caregivers of patients with cancer. It contains 37 items, scored on a scale from 0 to 10, with 10 being the best possible result. Some of these items produce an inverse score, which must be adjusted in the subsequent coding. The scale consists of four domains: physical well-being, psychological well-being, social concerns, and spiritual well-being.

2.3.4. Assessment of Caregiver Strain

The Caregiver Strain Index (CSI) questionnaire [34], in the version translated and adapted to Spanish [35], was applied. This instrument measures the perceived workload of family caregivers and the effort involved in providing care. The CSI is composed of 13 items with dichotomous answer options. Each affirmative answer is scored as one. A total CSI score of seven or more represents a high level of strain, often referred to as burden of care or caregiver burden.
Other aspects considered in assessing caregiver strain: time spent providing palliative care (months), the number of hours dedicated to daily care, and the receipt of assistance for this task. These data were obtained by personal interview.

2.3.5. Ethical Considerations

This study was approved by the Malaga Provincial Ethics Committee (project code: 0638-N-18). The study participants were informed in writing and verbally about the project, and all gave signed informed consent to take part.

2.3.6. Data Analysis

In the descriptive analysis performed of the study variables, the quantitative variables were expressed as mean values with the corresponding standard deviation, and the qualitative ones as the absolute frequency percentage. Relationships were determined, according to Spearman’s correlation, between the accelerometry-related variables (LPA, MPA, VPA, MVPA, inactive time, nocturnal sleeping, napping, sleep efficiency, and compliance with WHO-recommended activity criteria) and the other study variables (quality of life, CSI, daily hours spent providing care, total duration of care provision, duration of palliative care, assistance in care provision, sex, and age). All statistical analyses were performed using the SPSS 22 statistical program with p ≤ 0.05 considered significant and marked with an asterisk (*).

3. Results

3.1. Characteristics of the Caregivers

Initial contact was made with 83 family caregivers. However, one did not meet the inclusion criteria; in four cases, the patient in home palliative care died before the study interview was conducted; and three caregivers refused to participate. Thus, the final study sample consisted of 75 caregivers; the demographic characteristics are detailed in Table 1.

3.2. Descriptive Information on the Study Variables

A descriptive analysis of the variables measured by accelerometry is presented in Table 2, and strain and quality of life outcomes are presented in Table 3.

3.3. Bivariate Results

The following significant bivariate associations between the accelerometry variables and the other study variables were determined:
-
The total duration of care is associated with a greater total LPA (r = 0.231, p = 0.046 *) and with an LPA of 1–10 min (r = 0.259, p = 0.025 *).
-
Care provision per day is associated with greater total LPA (r = 0.230, p = 0.047 *).
-
Caregiver age is associated with lower total VPA (r = −0.236, p = 0.041 *) and total MVPA (r = −0.237, p = 0.042 *).
-
CSI is positively associated with an SIB of 20–30 min (r= 0.232, p = 0.046 *).
-
Total QoL-FV is associated with an SIB of 20–30 min (r = −0.322, p = 0.005 *).
-
A physical well-being subscale of QoL-FV is associated with an SIB of 20–30 min (r= −0.261, p = 0.024 *).
-
A psychological well-being subscale of QoL-FV is associated with an SIB of 20–30 min (r= −0.327, p = 0.04 *).
-
Compliance with the WHO recommendation of MVPA ≥150 min/week is associated with total QoL-FV (r = −0.269, p = 0.020 *).
-
Moreover, mean nocturnal sleep is 359.11 min (SD, 46.60) for men and 400.18 (SD, 67.11) minutes for women (p = 0.042 *).
All significant bivariate associations are presented in Figure 1. Other analysed outcomes did not show significant relationships.

4. Discussion

In our study group, most of the caregivers for patients with advanced cancer were women, usually the wife or daughter, a profile similar to that observed in previous studies of caregivers in this situation [36]. Only a third of the caregivers also worked outside the home, hence the significant time spent providing care and attention (on average, 17 h per day), as also reported in previous studies [37]. This level of commitment lasts for an average of almost 18 months, during which the caregiver is exposed to extra work, responsibility, and preoccupation, which may worsen their own mental and physical situation [38]. Only a third of these caregivers received help to carry out the tasks involved in caring for a patient with advanced cancer. Over 60% presented a high level of strain, which corroborates previous reports in this respect [39].
The caregivers’ overall quality of life was in the middle of the QoL-FEV range, which is in line with previous findings [40]. The highest scores were obtained for the physical QoL subscale and the lowest ones for spiritual well-being. From this, we conclude that care duties mainly affect the caregiver’s spiritual well-being and have much less impact on physical aspects. The above results illustrate the complexity of providing home palliative care for cancer patients, a complexity that is also present in caregivers’ daily physical activity.
A previous study, which applied multiple regression analysis, showed that depression, the self-efficacy of caregiving, the subcaregiver, and satisfaction with the home care service were associated with family caregivers’ QoL [41]. Furthermore, being female has been associated with a higher prevalence of anxiety according to multiple analyses in informal caregivers of terminally ill breast and gynaecologic cancer patients [42]. However, despite the relationship between these outcomes with the levels of physical activity and inactivity, both variables were not included in the aforementioned studies.
Moreover, multiple analyses have shown that depression and poor sleep quality did not predict physical activity levels of caregivers of patients with breast, prostate, or colorectal cancer [43]. Notwithstanding, the physical activity level and sleep quality were estimated through questionnaires [43], which do not lead to accurate measurements [44]. Thus, a strength of this study is that physical activity was assessed through an objective method consisting of accelerometry.
LPA accounted for most of the daily activity time and was positively associated with the total duration of care. This finding suggests that greater care is provided (and hence MVPA is reduced) as the disease progresses. The daily time dedicated to care was also positively associated with LPA by the caregiver. In our study group, the caregivers performed MVPA for more than 90 min a day, in line with WHO recommendations according to which at least 150 min of this activity should be performed per week. This target was met by 90% of the caregivers, and 88% performed at least 300 min a week, which confers additional health benefits [4].
Our findings show, therefore, that only about 10% of these caregivers present an insufficient level of physical activity, compared to international prevalence data of 27.5% [38]. The contrast is greater still with respect to data from Western countries alone (36.8%) and from women alone (42.3%) since the caregivers in our group of caregivers in Spain were mostly female [45].
However, MVPA with a minimum continuity of ten minutes was only achieved by 8% of the caregivers. From this, we conclude that the exercise performed is sufficient, overall, but the duration of MVPA is usually short, lasting less than ten minutes. Furthermore, in our group, MVPA and VPA were inversely associated with caregiver age, i.e., younger caregivers were more likely to engage in this level of activity. Thus, MVPA should be promoted in older caregivers (over 65 years old) in order to ensure active ageing.
Moreover, although the WHO recommends more than 150 min a week of MPA or 75 min a week of VPA, it is important to highlight the role of higher intensities of effort (i.e., VPA and very VPA). Along these lines, in our participants, the MVPA mostly consisted of MPA instead of VPA (94 vs. 2 min/day, see Table 2). Previous research has shown that changes in VPA are positively associated with higher cardiorespiratory fitness, but MPA showed better associations with lower body fat [46].
Some experimental designs have shown greater benefits on health outcomes with higher intensities than moderate intensities in different populations [47,48,49]. In addition, the level of MVPA has been shown to reduce the risk of cardiovascular diseases independently of the sedentary or inactive time, which is only a preventive factor in people with a low level of physical activity [50]. Therefore, the possible benefits of MVPA sustained in bouts of 10 min and the level of VPA in family caregivers are proposed according to our results.
Despite meeting WHO criteria for physical activity, the caregivers presented an average of total inactive time exceeding 11 h per day. The WHO recommends that the activity time should be raised as much as possible, even if the effort involved is only light [4]. This question requires further investigation to determine the causes; for example, it may be due to physical fatigue or because the caregiver is unable to leave the patient alone or with anyone else.
Among other bivariate associations detected, our analysis shows that caregivers who present more periods of inactivity lasting 20–30 min tend to experience higher levels of strain. We also found that caregivers with fewer moments of inactivity lasting 20–30 min had a better quality of life, overall, and reported better physical and psychological well-being. Therefore, caregiver strain and poorer quality of life seem to be more related to the inactivity time than to the physical activity level.
According to the study results, the majority of caregivers comply with the WHO recommendations on physical activity. However, although providing this type of home care for cancer patients requires a certain degree of MVPA, the question arises as to whether this activity produces the same physical and mental benefits as other types of activity, such as walking, dancing, or practicing sports. The situation of caregivers is often complicated. On the one hand, there is known to be an association between a better quality of life and less compliance with WHO criteria for physical activity. However, on the other hand, with a better quality of life there are fewer periods of inactivity lasting 20–30 min.
This study assesses important aspects for the prevention of health problems in family caregivers in relation to physical activity and inactivity time. To enable caregivers to reduce their inactivity, strain must be alleviated and the quality of life improved. The WHO recommendations for physical activity could be applied with caution in this population; therefore, public health actions must adapt the recommendations making them more specific since family caregivers with a better quality of life are less likely to meet WHO guidelines. Those caregivers who comply with the WHO guidelines of PA are probably achieving it by a higher care time, showing higher caregiver burden, and lower self-reported quality of life. Strategies to reduce inactivity time are encouraged, especially with ageing, in which MVPA levels are reduced, compromising the healthy ageing of the family caregiver.
The study data reflect the need to develop strategies enabling family nurses to enhance the care and health status of caregivers. Such an advance would also benefit the patients. However, this study has some limitations since, as we described, it is cross-sectional in nature, and therefore causality cannot be inferred. In addition, the outcomes observed in the study variables may be influenced by aspects other than those considered; in fact, the strength of the mentioned associations was limited with r coefficients of 0.2–0.3. Experimental designs are encouraged with a higher simple size of caregivers of palliative cancer patients, despite the difficulties due to the little free time of this population.

5. Conclusions

Most of the caregivers in our study sample presented a high level of physical activity, in line with WHO recommendations, possibly due to the requirements inherent in caring for a terminal patient. However, the total duration of inactivity was also high, at an average of over 11 h per day, which increases the risk of health problems. Inactivity periods of 20–30 min are slightly associated with greater caregiver burden and a poorer quality of life. Our findings also show that family caregivers with a better quality of life are less likely to meet the WHO criteria for physical activity, with slight associations. Older caregivers achieved lower levels of MVPA than the younger ones, highlighting the needed for active ageing also in this population in which a large part of the time is dedicated to care.

Author Contributions

Conceptualisation, I.V.-C., C.C. and M.Á.V.-S.; methodology, F.J.B.-L., J.W. and M.Á.V.-S.; software, J.C.-P. and F.J.B.-L.; formal analysis J.C.-P. and M.Á.V.-S.; investigation, I.V.-C. and M.Á.V.-S.; writing—original draft preparation, I.V.-C., C.C. and M.Á.V.-S.; writing—review and editing, J.C.-P. and J.W.; funding acquisition, I.V.-C., C.C. and M.Á.V.-S. All authors have read and agreed to the published version of the manuscript.

Funding

External funding for this study involving research, development, and innovation (R + D + I) in biomedical and health sciences in Andalusia was obtained from the Regional Health Ministry of “Junta de Andalucia”, under Project AP-0225-2019. This work was partially funded by Junta de Andalucia and ERDF with the project “UMA20-FEDERJA-154” of financial support for R + D + I projects in the ERDF-Andalusia Operational Programme 2014–2020 (Programa Operativo FEDER Andalucía 2014-2020). J.C.-P. is supported by a predoctoral grant from the Spanish Ministry of Education (Ministerio de Educación), grant number FPU19/02326.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Malaga Provincial Ethics Committee (project code 0638-N-18).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data available under reasonable request to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Valero-Cantero, I.; Wärnberg, J.; Carrión-Velasco, Y.; Martínez-Valero, F.J.; Casals, C.; Vázquez-Sánchez, M.Á. Predictors of sleep disturbances in caregivers of patients with advanced cancer receiving home palliative care: A descriptive cross-sectional study. Eur. J. Oncol. Nurs. 2021, 51, 101907. [Google Scholar] [CrossRef] [PubMed]
  2. Lee, K.C.; Hsieh, Y.L.; Lin, P.C.; Lin, Y.P. Sleep Pattern and Predictors of Sleep Disturbance Among Family Caregivers of Terminal Ill Patients with Cancer in Taiwan: A Longitudinal Study. Am. J. Hosp. Palliat. Care 2018, 35, 1109–1117. [Google Scholar] [CrossRef] [PubMed]
  3. Sonza, A.; da Cunha de Sá-Caputo, D.; Sartorio, A.; Tamini, S.; Seixas, A.; Sanudo, B.; Süßenbach, J.; Provenza, M.M.; Xavier, V.L.; Taiar, R.; et al. COVID-19 Lockdown and the Behavior Change on Physical Exercise, Pain and Psychological Well-Being: An International Multicentric Study. Int. J. Environ. Res. Public Health 2021, 18, 3810. [Google Scholar] [CrossRef] [PubMed]
  4. World Health Organization. WHO Guidelines on Physical Activity and Sedentary Behaviour. 2020. Available online: https://www.who.int/publications/i/item/9789240015128 (accessed on 10 February 2022).
  5. Darragh, A.R.; Sommerich, C.M.; Lavender, S.A.; Tanner, K.J.; Vogel, K.; Campo, M. Musculoskeletal Discomfort, Physical Demand, and Caregiving Activities in Informal Caregivers. J. Appl. Gerontol. 2015, 34, 734–760. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Gomes, N.P.; Pedreira, L.C.; Nunes, S.F.L.; Alvarez, A.M.; Siewert, J.S.; Oliveira, L.M.S. Musculoskeletal disorders of older adults: An integrative literature review. Rev. Bras. Enferm. 2021, 74, e20200626. [Google Scholar] [CrossRef]
  7. Fagerström, C.; Elmståhl, S.; Wranker, L.S. Analyzing the situation of older family caregivers with a focus on health-related quality of life and pain: A cross-sectional cohort study. Health Qual. Life Outcomes 2020, 18, 79. [Google Scholar] [CrossRef] [Green Version]
  8. Beesley, V.L.; Price, M.A.; Webb, P.M.; Australian Ovarian Cancer Study Group, Australian Ovarian Cancer Study—Quality of Life Study Investigators. Loss of lifestyle: Health behaviour and weight changes after becoming a caregiver of a family member diagnosed with ovarian cancer. Support Care Cancer 2011, 19, 1949–1956. [Google Scholar] [CrossRef]
  9. Govina, O.; Vlachou, E.; Kalemikerakis, I.; Papageorgiou, D.; Kavga, A.; Konstantinidis, T. Factors Associated with Anxiety and Depression among Family Caregivers of Patients Undergoing Palliative Radiotherapy. Asia Pac. J. Oncol. Nurs. 2019, 6, 283–291. [Google Scholar] [CrossRef]
  10. Cai, Y.; Simons, A.; Toland, S.; Zhang, J.; Zheng, K. Informal caregivers’ quality of life and management strategies following the transformation of their cancer caregiving role: A qualitative systematic review. Int. J. Nurs. Sci. 2021, 8, 227–236. [Google Scholar] [CrossRef]
  11. Perpiñá-Galvañ, J.; Orts-Beneito, N.; Fernández-Alcántara, M.; García-Sanjuán, S.; García-Caro, M.P.; Cabañero-Martínez, M.J. Level of Burden and Health-Related Quality of Life in Caregivers of Palliative Care Patients. Int. J. Env. Res. Public Health 2019, 16, 4806. [Google Scholar] [CrossRef]
  12. Valero-Cantero, I.; Casals, C.; Carrión-Velasco, Y.; Barón-López, F.J.; Martínez-Valero, F.J.; Vázquez-Sánchez, M.Á. The influence of symptom severity of palliative care patients on their family caregivers. BMC Palliat. Care 2022, 21, 27. [Google Scholar] [CrossRef]
  13. Chekroud, S.R.; Gueorguieva, R.; Zheutlin, A.B.; Paulus, M.; Krumholz, H.M.; Krystal, J.H.; Chekroud, A.M. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: A cross-sectional study. Lancet Psychiatry 2018, 5, 739–746. [Google Scholar] [CrossRef]
  14. Bennie, J.A.; De Cocker, K.; Biddle, S.J.H.; Teychenne, M.J. Joint and dose-dependent associations between aerobic and muscle-strengthening activity with depression: A cross-sectional study of 1.48 million adults between 2011 and 2017. Depress. Anxiety 2020, 37, 166–178. [Google Scholar] [CrossRef]
  15. Repple, J.; Opel, N. Sport und körperliche Bewegung bei unipolarer Depression: Prävention, Therapie und neurobiologische Wirkmechanismen [Sport and physical exercise in unipolar depression: Prevention, therapy, and neurobiological mechanisms of action]. Nervenarzt 2021, 92, 507–514. [Google Scholar] [CrossRef]
  16. Kandola, A.; Vancampfort, D.; Herring, M.; Rebar, A.; Hallgren, M.; Firth, J.; Stubbs, B. Moving to Beat Anxiety: Epidemiology and Therapeutic Issues with Physical Activity for Anxiety. Curr. Psychiatry Rep. 2018, 20, 63. [Google Scholar] [CrossRef] [Green Version]
  17. Lavie, C.J.; Ozemek, C.; Carbone, S.; Katzmarzyk, P.T.; Blair, S.N. Sedentary Behavior, Exercise, and Cardiovascular Health. Circ. Res. 2019, 124, 799–815. [Google Scholar] [CrossRef]
  18. López-Ortiz, S.; Pinto-Fraga, J.; Valenzuela, P.L.; Martín-Hernández, J.; Seisdedos, M.M.; García-López, O.; Toschi, N.; Di Giuliano, F.; Garaci, F.; Mercuri, N.B.; et al. Physical Exercise and Alzheimer’s Disease: Effects on Pathophysiological Molecular Pathways of the Disease. Int. J. Mol. Sci. 2021, 22, 2897. [Google Scholar] [CrossRef]
  19. Booth, F.W.; Roberts, C.K.; Laye, M.J. Lack of exercise is a major cause of chronic diseases. Compr. Physiol. 2012, 2, 1143–1211. [Google Scholar] [CrossRef] [Green Version]
  20. Narici, M.; Vito, G.; Franchi, M.; Paoli, A.; Moro, T.; Marcolin, G.; Grassi, B.; Baldassarre, G.; Zuccarelli, L.; Biolo, G.; et al. Impact of sedentarism due to the COVID-19 home confinement on neuromuscular, cardiovascular and metabolic health: Physiological and pathophysiological implications and recommendations for physical and nutritional countermeasures. Eur. J. Sport. Sci. 2021, 21, 614–635. [Google Scholar] [CrossRef]
  21. Silva, L.R.B.; Seguro, C.S.; de Oliveira, C.G.A.; Santos, P.O.S.; de Oliveira, J.C.M.; de Souza Filho, L.F.M.; de Paula Júnior, C.A.; Gentil, P.; Rebelo, A.C.S. Physical Inactivity Is Associated with Increased Levels of Anxiety, Depression, and Stress in Brazilians During the COVID-19 Pandemic: A Cross-Sectional Study. Front. Psychiatry 2020, 11, 565291. [Google Scholar] [CrossRef]
  22. Epps, F.; To, H.; Liu, T.T.; Karanjit, A.; Warren, G. Effect of Exercise Training on the Mental and Physical Well-Being of Caregivers for Persons Living with Chronic Illnesses: A Systematic Review and Meta-Analysis. J. Appl. Gerontol. 2021, 40, 18–27. [Google Scholar] [CrossRef] [PubMed]
  23. Connell, C.M.; Janevic, M.R. Effects of a Telephone-Based Exercise Intervention for Dementia Caregiving Wives: A Randomized Controlled Trial. J. Appl. Gerontol. 2009, 28, 171–194. [Google Scholar] [CrossRef] [PubMed]
  24. van Hees, V.T.; Fang, Z.; Langford, J.; Assah, F.; Mohammad, A.; da Silva, I.C.; Trenell, M.I.; White, T.; Wareham, N.J.; Brage, S. Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: An evaluation on four continents. J. Appl. Physiol. 2014, 117, 738–744. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. van Hees, V.T.; Gorzelniak, L.; Dean León, E.C.; Eder, M.; Pias, M.; Taherian, S.; Ekelund, U.; Renström, F.; Franks, P.W.; Horsch, A.; et al. Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS ONE 2013, 8, e61691. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. van Hees, V.T.; Sabia, S.; Jones, S.E.; Wood, A.R.; Anderson, K.N.; Kivimäki, M.; Frayling, T.M.; Pack, A.I.; Bucan, M.; Trenell, M.I.; et al. Estimating sleep parameters using an accelerometer without sleep diary. Sci. Rep. 2018, 8, 12975. [Google Scholar] [CrossRef]
  27. van Hees, V.T.; Sabia, S.; Anderson, K.N.; Denton, S.J.; Oliver, J.; Catt, M.; Abell, J.G.; Kivimäki, M.; Trenell, M.I.; Singh-Manoux, A. A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLoS ONE 2015, 10, e0142533. [Google Scholar] [CrossRef] [Green Version]
  28. Rowlands, A.V.; Edwardson, C.L.; Davies, M.J.; Khunti, K.; Harrington, D.M.; Yates, T. Beyond Cut Points: Accelerometer Metrics that Capture the Physical Activity Profile. Med. Sci. Sport. Exerc. 2018, 50, 1323–1332. [Google Scholar] [CrossRef]
  29. Hildebrand, M.; Hansen, B.H.; van Hees, V.T.; Ekelund, U. Evaluation of raw acceleration sedentary thresholds in children and adults. Scand. J. Med. Sci. Sport. 2017, 27, 1814–1823. [Google Scholar] [CrossRef]
  30. Hildebrand, M.; VAN Hees, V.T.; Hansen, B.H.; Ekelund, U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med. Sci. Sport. Exerc. 2014, 46, 1816–1824. [Google Scholar] [CrossRef]
  31. Menai, M.; van Hees, V.T.; Elbaz, A.; Kivimaki, M.; Singh-Manoux, A.; Sabia, S. Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: Results from the Whitehall II study. Sci. Rep. 2017, 8, 45772. [Google Scholar] [CrossRef]
  32. Ferrell, B.; Grant, M.; Padilla, G.; Vemuri, S.; Rhiner, M. The experience of pain and perceptions of quality of life: Validation of a conceptual model. Hosp. J. 1991, 7, 9–24. [Google Scholar] [CrossRef]
  33. Ortiz, L.B. Construct validity and reliability of quality of life instrument family version in Spanish. Enferm. Global 2015, 14, 239–249. [Google Scholar]
  34. Robinson, C.A.; Pesut, B.; Bottorff, J.L. Supporting rural family palliative caregivers. J. Fam. Nurs. 2012, 18, 467–490. [Google Scholar] [CrossRef]
  35. López, S.R.; Morqal, M.S. Validation of the caregiver strain index in Spanish population. Enferm. Comunitaria. 2005, 1, 12–17. [Google Scholar]
  36. Ahn, S.; Romo, R.D.; Campbell, C.L. A systematic review of interventions for family caregivers who care for patients with advanced cancer at home. Patient. Educ. Couns. 2020, 103, 1518–1530. [Google Scholar] [CrossRef]
  37. Longacre, M.L.; Weber-Raley, L.; Kent, E.E. Cancer Caregiving While Employed: Caregiving Roles, Employment Adjustments, Employer Assistance, and Preferences for Support. J. Cancer Educ. 2021, 36, 920–932. [Google Scholar] [CrossRef]
  38. Unsar, S.; Erol, O.; Ozdemir, O. Caregiving burden, depression, and anxiety in family caregivers of patients with cancer. Eur. J. Oncol. Nurs. 2021, 50, 101882. [Google Scholar] [CrossRef]
  39. Jadalla, A.; Ginex, P.; Coleman, M.; Vrabel, M.; Bevans, M. Family Caregiver Strain and Burden: A Systematic Review of Evidence-Based Interventions When Caring for Patients with Cancer. Clin. J. Oncol. Nurs. 2020, 24, 31–50. [Google Scholar] [CrossRef]
  40. Kilic, S.T.; Oz, F. Family Caregivers’ Involvement in Caring with Cancer and their Quality of Life. Asian Pac. J. Cancer Prev. 2019, 20, 1735–1741. [Google Scholar] [CrossRef] [Green Version]
  41. Ito, E.; Tadaka, E. Quality of life among the family caregivers of patients with terminal cancer at home in Japan. Jpn. J. Nurs. Sci. 2017, 14, 341–352. [Google Scholar] [CrossRef] [Green Version]
  42. Rezende, V.L.; Derchain, S.F.M.; Botega, N.J.; Sarian, L.O.; Vial, D.L.; Morais, S.S. Depression and anxiety in caregivers of terminally-ill breast and gynecological cancer patients. Rev. Bras. Ginecol. Obs. 2005, 27, 737–743. [Google Scholar] [CrossRef]
  43. Cuthbert, C.A.; King-Shier, K.; Tapp, D.; Ruether, D.; Culos-Reed, S.N. Exploring Gender Differences in Self-Reported Physical Activity and Health Among Older Caregivers. Oncol. Nurs. Forum 2017, 44, 435–445. [Google Scholar] [CrossRef] [PubMed]
  44. Skender, S.; Ose, J.; Chang-Claude, J.; Paskow, M.; Brühmann, B.; Siegel, E.M.; Steindorf, K.; Ulrich, C.M. Accelerometry and physical activity questionnaires—A systematic review. BMC Public Health 2016, 16, 515. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob. Health 2018, 6, e1077–e1086. [Google Scholar] [CrossRef] [Green Version]
  46. Drenowatz, C.; Prasad, V.K.; Hand, G.A.; Shook, R.P.; Blair, S.N. Effects of moderate and vigorous physical activity on fitness and body composition. J. Behav. Med. 2016, 39, 624–632. [Google Scholar] [CrossRef]
  47. Gomes-Neto, M.; Durães, A.R.; Reis, H.F.C.D.; Neves, V.R.; Martinez, B.P.; Carvalho, V.O. High-intensity interval training versus moderate-intensity continuous training on exercise capacity and quality of life in patients with coronary artery disease: A systematic review and meta-analysis. Eur. J. Prev. Cardiol. 2017, 24, 1696–1707. [Google Scholar] [CrossRef]
  48. Costa, E.C.; Hay, J.L.; Kehler, D.S.; Boreskie, K.F.; Arora, R.C.; Umpierre, D.; Szwajcer, A.; Duhamel, T.A. Effects of High-Intensity Interval Training Versus Moderate-Intensity Continuous Training on Blood Pressure in Adults with Pre- to Established Hypertension: A Systematic Review and Meta-Analysis of Randomized Trials. Sport. Med. 2018, 48, 2127–2142. [Google Scholar] [CrossRef]
  49. De Strijcker, D.; Lapauw, B.; Ouwens, D.M.; Van de Velde, D.; Hansen, D.; Petrovic, M.; Cuvelier, C.; Tonoli, C.; Calders, P. High intensity interval training is associated with greater impact on physical fitness, insulin sensitivity and muscle mitochondrial content in males with overweight/obesity, as opposed to continuous endurance training: A randomized controlled trial. J. Musculoskelet Neuronal Interact. 2018, 18, 215–226. [Google Scholar]
  50. Ekelund, U.; Tarp, J.; Steene-Johannessen, J.; Hansen, B.H.; Jefferis, B.; Fagerland, M.W.; Whincup, P.; Diaz, K.M.; Hooker, S.P.; Chernofsky, A.; et al. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis. BMJ 2019, 366, l4570. [Google Scholar] [CrossRef]
Ijerph 20 00179 g001 550
Figure 1. Significant bivariate associations.
Figure 1. Significant bivariate associations.
Ijerph 20 00179 g001
Table
Table 1. Demographic characteristics of the family caregivers (n = 75).
Table 1. Demographic characteristics of the family caregivers (n = 75).
MeanSD
Age (years)62.7112.80
N%
Gender
Female6688.0
Male912.0
Relationship with patient
Spouse4154.7
Daughter2533.3
Sister45.3
Mother22.7
Daughter-in-law11.3
Sister-in-law11.3
Mother-in-law11.3
Caregiver’s marital status
Married5269.3
Single1216.0
Divorced912.0
Widowed22.7
Caregiver’s children (n)
None1520.0
One1013.3
Two2938.7
Three1722.7
Four or more45.3
Caregiver’s education
Primary studies3952.0
Secondary studies2026.7
No formal studies810.7
University studies810.7
Employment status
No paid employment3648.00
In paid employment2634.67
Retired 1317.33
SD: standard deviation.
Table
Table 2. Accelerometry outcomes in the family caregivers (n = 75).
Table 2. Accelerometry outcomes in the family caregivers (n = 75).
MeanSD
SIB total (min/day)665.7894.92
SIB 1–10 min (min/day)69.4025.93
SIB 10–20 min (min/day)57.1121.88
SIB 20–30 min (min/day)46.8418.91
SIB >30 min (min/day)500.43155.20
Total LPA (min/day)201.6459.06
LPA 1–10 min (min/day)40.3419.73
LPA >10 min (min/day)4.2410.59
Total MPA (min/day)93.9245.63
Total VPA (min/day)2.475.46
Total MVPA (min/day)96.4046.93
MVPA 1–10 min (min/day)26.1419.00
MVPA >10 min (min/day)9.4815.95
Napping (min/day)70.1564.11
Nocturnal sleep (min/day)395.2566.12
Sleep efficiency0.840.09
N%
Compliance with WHO recommendation (MVPA ≥150 min/week) in episodes of at least 1 min/day
Yes6890.7
No79.3
MVPA (≥150 min/week) in episodes of at least 10 min/day
Yes68.0
No6992.0
MVPA (≥300 min/week) in episodes of at least 1 min/day
Yes6688.0
No912.0
SD: standard deviation, SIB: sustained inactivity bouts, LPA: light physical activity, MPA: moderate physical activity, VPA: vigorous physical activity, MVPA: moderate-to-vigorous physical activity, and WHO: World Health Organization.
Table
Table 3. Strain and quality of life of the family caregivers (n = 75).
Table 3. Strain and quality of life of the family caregivers (n = 75).
MeanSD
Quality of Life Family Version
Physical domain6.992.52
Social domain5.921.97
Psychological domain5.571.5
Spiritual domain3.981.85
Total quality of life5.621.46
Care provision (hours/day)17.197.18
Duration of care (months)17.3327.04
Duration of palliative care (months)3.934.82
N%
Assistance received for care provision
No 4864.0
Yes 2736.0
Caregiver Strain Index
≥7 points: 46 61.3 4661.3
<7 points: 29 38.72938.7
SD: standard deviation.
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Valero-Cantero, I.; Casals, C.; Corral-Pérez, J.; Barón-López, F.J.; Wärnberg, J.; Vázquez-Sánchez, M.Á. Accelerometer-Measured Physical Activity, Inactivity, and Related Factors in Family Caregivers of Patients with Terminal Cancer. Int. J. Environ. Res. Public Health 2023, 20, 179. https://doi.org/10.3390/ijerph20010179

AMA Style

Valero-Cantero I, Casals C, Corral-Pérez J, Barón-López FJ, Wärnberg J, Vázquez-Sánchez MÁ. Accelerometer-Measured Physical Activity, Inactivity, and Related Factors in Family Caregivers of Patients with Terminal Cancer. International Journal of Environmental Research and Public Health. 2023; 20(1):179. https://doi.org/10.3390/ijerph20010179

Chicago/Turabian Style

Valero-Cantero, Inmaculada, Cristina Casals, Juan Corral-Pérez, Francisco Javier Barón-López, Julia Wärnberg, and María Ángeles Vázquez-Sánchez. 2023. "Accelerometer-Measured Physical Activity, Inactivity, and Related Factors in Family Caregivers of Patients with Terminal Cancer" International Journal of Environmental Research and Public Health 20, no. 1: 179. https://doi.org/10.3390/ijerph20010179

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