Abstract
Introduction
Social isolation and lifestyle changes provoked by the COVID-19 pandemic have negatively affected the level of physical activity of the elderly people.
Objective
To evaluate the available evidence related to the level of physical activity (PA) of elderly people during the COVID-19 pandemic.
Methods
This is a systematic review, registered on PROSPERO (CRD42021241116), which included cross-sectional and cohort studies. Embase, Pubmed, Cochrane, Web of Science and Scopus databases were used to search for the studies. Finally, the New Castle-Ottawa Quality Assessment scale was used to measure the quality of the studies.
Results
25 studies were found, being 14 cross-sectional and 11 cohort studies. The studies showed that the elderly population was highly affected in relation to the level of physical activity and lifestyle during restrictions, quarantine and lockdowns caused by the COVID-19. There was a significant reduction in physical activity levels, leading to declines in physical fitness and increased sedentary lifestyle, factors directly related to the increase in frailty in this population.
Conclusion
The level of physical activity in the elderly population decreased during the quarantine period of COVID-19 worldwide. Strategies to maintain physical condition must be encouraged with physical exercises that meets the needs of the elderly in the current pandemic scenario, in order to maintain and improve the health of this population.
Keywords: COVID-19, Physical activity, Physical exercise, Elderly people
1. Introduction
The SARS-CoV-2 virus, originated in China in December 2019, spread around the world causing a catastrophic pandemic, which led to the collapse of the healthcare systems in several countries and caused millions of deaths (Johns Hopkins University, 2021; World Health Organization Report, 2020). Because it has a high potential for transmission between humans, mainly by aerosols (WHO, 2020a), several government restrictions involving social distancing were created around the world, as a strategy to contain the COVID-19 outbreak (Centers for Disease Control and Prevention (CDC), 2020).
The positive results of these measures leave no doubt that social distancing reduces the transmission of the virus (Matrajt and Leung, 2020; Wang et al., 2020a). However, it is equally undeniable that such restrictions have harmed the quality of life and reduced the levels of physical activity (PA) of the global population (Martinez et al., 2020; Stockwell et al., 2021), leading to concerns secondary to the pandemic (Hall et al., 2021).
The World Health Organization defines PA as “any bodily movement produced by skeletal muscles that required energy expenditure”, and determines the quantity of PA that must be performed by age groups (WHO, 2020b). For elderly people, it is recommended to do at least 150–300 min of moderate-intensity aerobic PA or at least 75–150 min or vigorous-intensity aerobic PA throughout the week (WHO, 2020b).
The need for social distancing during the COVID-19 pandemic has resulted in drastic changes in lifestyle and social behavior (Hall et al., 2021). This leads to abrupt physical inactivity, which is associated not only with a reduction in skeletal muscle mass, but also with a loss of strength, which is an independent risk factor for mortality (Newman et al., 2006).
In an observational study including a total of 117 elderly people, conducted to investigate the influence of six weeks of lockdown on PA levels, perceived physical function, and mood of people aged ≥70 years, Richardson et al. (2021) found a significant increase in the time of sedentary behavior during the period of restrictions, which is related to negative impacts on health.
In addition to that, the increase in sedentary behavior during the pandemic is expected to lead to significant reductions in musculoskeletal strength and endurance and in cardiorespiratory capacity. Also concerning is the loss of lean mass, muscle function and motor control, that can lead to sarcopenia, cardiometabolic disorders and the emergence and/or worsening of other comorbidities, with more significant impacts on the elderly (Pelicioni and Lord, 2020; Rodrigues et al., 2020; Roschel et al., 2020). All of these factors lead to functional decline, which culminates in limitations in daily life and increased risk of falls, which can lead to serious trauma (Pérez-Ros et al., 2019), increasing morbidity and mortality rates (Rodrigues et al., 2020), especially in the elderly population (19 e 22).
Given the above, it is undeniable that social distance policies and changes in lifestyle during the COVID-19 pandemic have negatively affected the physical health of the elderly. Such losses bring concerns to the post-pandemic period, as the current scenario shows an increase in sedentary behavior and in the body mass index (Ekelund et al., 2019), which is associated with several diseases such as high blood pressure, diabetes, cardiovascular and respiratory diseases, among others (Lin et al., 2019; Powell-Wiley et al., 2021; Ten Hacken, 2009; Ahima, 2009).
In this sense, with a focus on elucidating the current evidence on this topic, the aim of this systematic review was to assess the available evidence related to the level of PA of the elderly people during the COVID-19 pandemic. We hypothesized that the elderly population was severely affected in relation to the level of PA during restrictions, quarantines and lockdowns caused by the COVID-19 pandemic.
2. Methods
2.1. Study design and ethical approval
This systematic review was performed based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) (Page et al., 2020; Page et al., 2021) guidelines, specific for observational studies. The review was prospectively registered on PROSPERO (registration number: CRD42021241116).
2.2. Inclusion and exclusion criteria
The following inclusion criteria were considered in this review: [1] observational studies that assessed the level of [2] PA in [3] elderly (60 years and over) during the [4] COVID-19 pandemic (December 2019 to October of 2021). Studies carried out beyond the stipulated period (December 2019 to October 2021) and studies with mixed populations (under 60 years) were not included.
The exclusion criteria consisted of [1] studies that retrieved information on PA levels based on ad hoc questionnaires or other questionnaires that have not been previously validated for elderly people, [2] comments, letters to the editor or studies not published in journals or [3] studies published in journals without peer review.
2.3. Search strategy
The search for studies was systematically performed in October 2021, at the following databases, via Capes Periodicals (https://www.periodicos.capes.gov.br/): 1) Embase; 2) PubMed; 3) Cochrane; 4) Web of Science; and 5) Scopus. The English terms used in the search were based on the literature corresponding to the purpose of the systematic review and on the encyclopedia of Medical Subject Headings (MeSH) terms. The primary descriptor “physical exercise” and its similar descriptors (e.g., “physical activity”; “sedentary behavior”) was crossed with the secondary descriptors “elderly” and its similar ones (e.g. “older adults”; “aged”) and “COVID-19”.
The search only restricted the following factors: “publication period”, defined from December 2019, when the first cases of COVID-19 appeared in China, until the day the search was carried out (October 2021); and “study type”, including only complete observational studies. Other factors such as language and type of access (free or paid) were not restricted.
The manual search was performed based on the reference lists of the selected articles and on the simple search on the databases mentioned above.
2.4. Study selection
Two reviewers (IPS and VMK) independently performed the selection of the studies based on titles, abstracts and descriptors/keywords of all studies identified by the search strategy, according to the PRISMA guidelines (Page et al., 2020; Page et al., 2021). In case of disagreement, a third reviewer (e.g., MRO) was included as a tiebreaker (screening phase).
Subsequently, two reviewers (IPS and VMK) fully read all the pre-selected studies according to the eligibility criteria, where the same tiebreaker strategy was adopted as described in the previous phase (eligibility phase). The software State of the Art Through Systematic Reviews (StArt) (Luís et al., 2016) was used to conduct the study selection process.
2.5. Extract data and bias assessment
Finally, the data extraction was performed by two reviewers (IPS and VMK) independently regarding the characteristics of the studies and participants, assessment method of PA levels and main outcomes (inclusion phase).
The assessment of methodological quality was performed by two reviewers (IPS and VMK), following the New Castle - Ottawa Quality Assessment Scale for Cohort Studies and adapted for Cross-Sectional Studies, that contemplates three categories (Selection, Comparability and Outcomes) (Wells et al., n.d.). Studies with Newcastle-Ottawa form scores (Stang, 2010) of ≥7 were considered as high-quality, 5–6 as moderate quality and 0–4 as low-quality studies.
3. Results
3.1. Selection of the studies
A total of 1328 studies were found by searching the following databases: PubMed (165), Scopus (199), Web of Science (349), Cochrane library (47) and Embase (568). After excluding duplicate articles (442) and studies not meeting the inclusion criteria based on titles and abstracts (794), 92 studies showed potential relevance for full analysis. However, only 25 studies met the predefined eligibility criteria (14 cross-sectional and 11 cohort studies) (Figure 1 ).
Fig. 1.
Study flowchart.
3.2. Study characteristics
The characteristics of the studies included in this systematic review are described in Table 1 . Regarding the nationality of the studies found, a prevalence of Japan, Spain and Italy was observed. Because the studies evaluated PA levels during the COVID-19 pandemic, all articles are recently published (from 2020 to 2021). The total number of individuals evaluated, including samples of all studies, was 15,964 elderly subjects. In most studies, the female gender was predominant. Few studies addressed comorbidities, with arterial hypertension, Parkinson's disease and diabetes mellitus being the most prevalent.
Table 1.
Sample characteristics and sociodemographic data.
| Author (Year) | Study design | Country | Sample size (n) | Male (%) | Age (years) | Main comorbidities |
|---|---|---|---|---|---|---|
| Maugeri et al. (2020) | Cross-Sectional | Italy | 296 | NM | Over 60 | NM |
| Sasaki et al. (2021) | Cross-Sectional | Japan | 999 | 462 (46) | 74.5 ± 6.3 | NM |
| Visser et al. (2020) | Cohort | The Netherlands | 1119 | 528 (47.2) | 74 ± 7.0 | NM |
| Song et al. (2020) | Cohort | Korea | 100 | 54 (54) | 70 (62.3–76.0) | PD |
| Balci et al. (2021) | Cross-Sectional | Turkish | 88 | 54 (61) | PD: 67 (60.0–73.5); Healthy: 66 (58.0–71.0) |
PD |
| Pérez et al. (2021) | Cross-Sectional | Spain | 98 | 33 (34) | 82.4 ± 6.1 | NM |
| Browne et al. (2020) | Cohort | Brazil | 35 | 12 (34.3) | 65.6 ± 3.8 | HT; Db; Dl; Ow; Ob. |
| Meyer et al. (2020) | Cross-Sectional | USA | 1062a | NMa | ≥65a | NM |
| Richardson et al. (2021) | Cross-Sectional | UK | 117 | 52 (44.4) | 75 ± 4 | NM |
| Di Santo et al. (2020) | Cross-Sectional | Italy | 126 | 24 (19) | 74.29 ± 6.51 | Ob; Db; Ht; Hl; CVd; Mskd; Thd; Aid; Respd. |
| Wang et al. (2020b) | Cohort | China | 621a | 383 (16.5) | ≥60a | NM |
| Suzuki et al. (2020) | Cohort | Japan | 165 | 50 (30.7) | 78.6 ± 8.0 | Ht; Hl; Db; CVd; Mskd; Thd; Aid; Respd. |
| Ruiz-Roso et al. (2020) | Cohort | Spain | 37a | NMa | 68.2a | Db |
| Qin et al. (2020) | Cross-sectional | China | 184a | 93 (50.54) | ≥60 | NM |
| Yamada et al. (2020) | Cross-sectional | Japan | 1600 | 800 (50) | 74 ± 5.6 | NM |
| de Matos et al. (2020) | Cross-sectional | Brazil | 47 | 32 (69) | 66.3 ± 5.07 | NM |
| Chambonniere et al. (2021) | Cross-sectional | France | 1178 | 568 (48.2) | 69.7 ± 4.2 | NM |
| Miyahara et al. (2021) | Cohort | Japan | 13 | 2 (15,4) | 77,5 ± 3,5 | Ht; D1 |
| Yamada et al. (2021) | Cohort | Japan | 937 | 479 (51.1) | 73.5 | NM |
| Carvalho et al. (2021) | Cross-sectional | Portugal | 68 | 40 (59) | 74.24 | NM |
| Lage et al. (2021) | Cross-sectional | Brazil | 1123 | 101 (9) | 67.6 | Dp |
| Nascimento et al. (2021) | Cohort | Brazil | 72 | 13 (18) | 67.2 | NM |
| García-Esquinas et al. (2021) | Cohort | Spain | 829b | 330 (39.8) | 81.5 | NM |
| Leavy et al. (2021) | Cross-sectional | Sweden | 89 | 48 (54) | 71 | PD |
| Salman et al. (2021) | Cohort | UK | 4961 | 2208 (44.5) | >65 | NM |
Legend: Not mentioned (NM); United Kingdom (UK); Hypertension (Ht); Diabetes (Db); Parkinson's disease (PD); Dyslipidemia (Dl); Overweight (Ow); Obesity (Ob); United States of America (USA); Hyperlipidemia (Hl); Cardiovascular Diseases (CVd); Musculoskeletal Disorder (Mskd); Thyroid Dysfunction (Thd); Autoimmune Disease (Aid); Pré-existing respiratory illness (Respd); Depression (Dp).
When the sample was mixed, only the population ≥60 years was considered.
When the sample was mixed, only the population of validated assessment was considered.
3.3. Main results of the studies
The methods for assessing the PA level and the main results of the studies are described in Table 2 . The studies found aimed to evaluate and compare the levels of PA during the COVID-19 pandemic and lockdowns and to demonstrate the clinical impact of this period on the health of the elderly population.
Table 2.
PA level during the COVID-19 pandemic.
| Author (Year) (n = 25) |
Activity level assessment method | Cut-off points for PA level | Main outcomes |
|---|---|---|---|
| Maugeri et al. (2020) | IPAQ-SF. | - Low active (<600 MET–minutes/week); - Moderate active (>600 MET–minutes/week); - High active (>3000 MET–minutes/week). |
- Statistically significant difference between before and during COVID-19 pandemic (Mean: 2429 vs. 1577 MET–min/wk.; p < 0.0001) - Low active individuals increased up to 39.62% - ↓ of total weekly PA energy |
| Sasaki et al. (2021) | IPAQ-SF. | - Walking (3.3 METs) - Moderate-intensity activity (4.0 METs) - Vigorous-intensity activity (8.0 METs) |
- PA was reduced by approximately 5–10% for moderate-intensity activity, walking, and total PA. After the restrictions, there was an increase in sitting time (5% increase for men,10% increase for women). |
| Visser et al. (2020) | LAPAQ. | - <150 versus ≥150 min/week | - Negative impact on PA behaviors (48.3–54.3% of the sample); - Half of the sample reported to be always (8%) or sometimes (41.3%) less physically active than normal. |
| Song et al. (2020) | PASE. | NM | - Significant decrease in the amount of exercise (duration and frequency and number of patients who do not exercise at all increased). |
| Balci et al. (2021) | PASE. | - Higher scores indicate greater physical activity. | - PA level was reduced in healthy and PD groups. |
| Pérez et al. (2021) | BPAAT. | - Insufficiently active (score 0–3 points); - Sufficiently active (score 4–8 points). |
- A general decrease in PA level during the lockdown (BPAAT total score: −1.1/8 (95 CI% 0.6; 1.5) points; p < 0.001). |
| Browne et al. (2020) | Accelerometer. | - Sedentary behavior (≤0 99 cpm); - Light PA (100–1951 cpm); - Moderate-vigorous (≥1952 cpm). |
- Increase in sedentary behavior (p = 0.032) and decrease in steps/day (p = 0.018). |
| Meyer et al. (2020) | IPAQ-SF. | - Inactive (0 min); - Insufficiently active (1–150 min/day); - Sufficiently active (150–300 min/day); - Highly active (>300 min/day). |
- 42.6% reported sitting for more than 8 h per day; - 72.5% reported being either sufficiently or highly active. |
| Richardson et al. (2021) | IPAQ-E; LLFDI. | - High, moderate, or low PA (according to IPAQ-SV scoring protocol - http://www.ipaq.ki.se/) | - Both males and females maintained their PA levels but also increased their sedentary time. |
| Di Santo et al. (2020) | IPAQ-SF. | - 600 MET/week roughly corresponding to 150 min of moderate intensity activity; | - 46 participants declared having decreased their PA; - 69.60% reported an increase in the time spent sitting or lying down; - 5 of the 25 respondents who, before the lockdown did not reach the recommended threshold of 600 MET/week, increased their PA levels during quarantine. |
| Wang et al. (2020b) | Daily step counts collected through a smartphone linked to a social network platform (WeChat). | - Low daily step (≤1500 steps/day) - Frequent low daily steps (≥14 days of low daily step counts over a 30-day period) |
- Daily steps dropped rapidly (by 2678 steps) and substantially and was more pronounced among females. - The prevalence of frequent low daily steps increased to 7.4% (196/2655) during the COVID-19 epidemic period, after physical distancing measures were implemented. |
| Suzuki et al. (2020) | PAQ-EJ | - Light housework (2.0 METs) - Moderate or somewhat heavy housework (2.5 METs) - Labor (2.8 METs) - Transportation (2.8 METs) - Light exercise/sports (3.0 METs) - Resistance exercise/sports (3.0 METs) - Moderate or somewhat strenuous exercise/sports (4.3 METs) |
- 47.3% of the participants were less active and decreased their PA per week. - The light and moderate or strenuous exercise/sports and housework categories were the most affected. |
| Ruiz-Roso et al. (2020) | IPAQ | - Moderate-intensity activities (>3 and <6 METs); - Vigorous-intensity activities (≥6 METs). |
- Increase in sitting without doing any PA; - Decrease in average minutes per week spent walking; - Patients with DM with a BMI > 30 kg/m2 showed a significant increment in the hours they spent sitting; - Patients with DM with a BMI between 25 and 30 kg/m2 did not increase hours they spent sitting. |
| Qin et al. (2020) | IPAQ | - High, moderate, or low PA (according to IPAQ-SV scoring protocol - http://www.ipaq.ki.se/) | - 41.3% of insufficient PA was found during home quarantine induced by COVID-19. - The prevalence of insufficient PA more than doubled during the initial stage of COVID-19 epidemic in China (global: 27.5% vs. China in epidemic stage: 57.5%, 2, p < 0.0001) |
| Yamada et al. (2020) | IPAQ | - Moderate-intensity activities (>3 and <6 METs); - Vigorous-intensity activities (≥6 METs). |
- Significant decrease in total PA time in April 2020 (median [IQR], 180 [0 to 420]) when compared to January 2020 (median [IQR], 245 [90 to 480]) (P < 0.001). |
| de Matos et al. (2020) | IPAQ | - Inactive - <600 MET-min/week; - Insufficiently active - ≥600 and <3000 met-min/week; - Active - ≥3000 MET-min/week. |
- In the pandemic period, 84% of the sample was considered inactive, 13% moderate active, and 3% high active; - In relation to the periods before and during the pandemic, it was observed that: in elderly (p < 0.0001) the weekly energy expenditure reduced significantly. |
| Chambonniere et al. (2021) | IPAQ; ONAPS-PAQ | - Inactive (≤ 2 h and 30 min per week of moderate to vigorous PA). | - 39.2% decreased PA during the confinement; - PA decreased among 43.4% of old people who lived in urban areas; - PA decreased 32.4% (p = 0.001) of old people who lived in rural areas; |
| Miyahara et al. (2021) | Accelerometer | - Light-intensity PA (1.5–2.9 METs); - Moderate-intensity PA (≥3 METs); |
- The PA level of daily activity decreased by 32.6%; - Light-intensity PA decreased by 18.2%; - Walking activity decreased by 17.0%; - The average daily number of steps decreased by 38.9%. - In the High-PA group, the number of steps, activity time, moderate-intensity PA, light-intensity PA, and total PA decreased after self-restraint (p > 0.02) |
| Yamada et al. (2021) | IPAQ-SF. | - Moderate-intensity activities (>3 and <6 METs); - Vigorous-intensity activities (≥6 METs). |
- Significant decrease in total PA time in April 2020, August 2020 and January 2021 than in January 2020 (P < 0.001). |
| Carvalho et al. (2021) | IPAQ-SF. | - High, moderate, or low PA (according to IPAQ-SV scoring protocol - http://www.ipaq.ki.se/) | - 90% of older adults self-reported a decrease in overall PA levels; - 64.7% increased daily sitting time during the home confinement. |
| Lage et al. (2021) | IPAQ-SF | - <150 min per week" or “>150 min per week” of moderate to vigorous PA. | - 83.80% self-reported a decrease in daily PA levels (p < 0.001); - 73.90% increased sitting time (p < 0.001). |
| Nascimento et al. (2021) | IPAQ-SF | - Low PA level (0 to <600 MET·min weekly); - Medium PA level (600 to <1200 MET·min weekly); - High PA level (≥1200 MET·min weekly). |
- At the beginning of the study, 56.8% of the older adults were classified as active, and after the first month, 18.5% reported changes in this condition; - Changes in MET'S, which presented lower values when compared with April and August (p < 0.01, for both); - There was an increase in sitting time compared with April independent of the measure period (week and weekend, p < 0.01 for both). |
| García-Esquinas et al. (2021) | PASE | NM | - Mean reduction in the PASE score of 16.66 points |
| Leavy et al. (2021) | Accelerometer | - Sedentary behavior (<100 counts per minute) - Light-intensity PA (100–1040 counts per minute); - Moderate to vigorous intensity PA (≥1041 counts per minute). |
- No statistically significant difference in overall PA level (steps per day) was seen between prepandemic and postpandemic measures (P = 0.429). |
| Salman et al. (2021) | IPAQ-SF | - Low active (<600 MET–minutes/week); - Moderate active (>600 MET–minutes/week); - High active (>3000 MET–minutes/week). |
- Mean PA was significantly lower following the introduction of lockdown from 3519 to 3185 MET min/week (p < 0.001) |
Legend: Physical Activity (PA); International Physical Activity Questionnaire-Short form (IPAQ-SF); Longitudinal Aging Study Amsterdam Physical Activity Questionnaire (LAPAQ); Parkinson's disease (PD); Physical Activity Scale for the Elderly (PASE); Brief Physical Activity Assessment Tool (BPAAT); Late-Life Function and Disability Instrument (LLFDI); Metabolic Equivalent Task (MET); International Physical Activity Questionnaire Environment Module (IPAQ-E); Physical Activity Questionnaire for Elderly Japanese (PQA-EJ); Body Mass Index (BMI); World Health Organization (WHO); Not mentioned (NM); Interquartile range (IQR).
Regarding the instruments used in the studies to assess the PA level, the International Physical Activity Questionnaire (IPAQ) predominated, either in its full, short (IPAQ-SF), or Environment Module (IPAQ-E) form. In addition, studies also used the Physical Activity Scale for the Elderly (PASE) questionnaire and the accelerometer.
From the application of such instruments, the authors found that quarantine and restrictions to prevent the spread of COVID-19 induced a significant reduction in PA levels in both sexes and changes in lifestyle. The main causes of the reduction in the level of PA, mentioned by the studies, in this period were the increase in sitting time, reduction in equivalent metabolic tasks (METs) and decrease in the number of steps. In addition, there was a reduction in exercise frequency and duration.
3.4. Quality of studies
Table 3, Table 4 show the quality of the 25 studies included, classified based on the Newcastle-Ottawa Quality Assessment Scale for cohort studies and the adapted scale for cross sectional studies (Wells et al., n.d.).
Table 3.
Quality assessments for cross-sectional studies included (NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE).
| Cross-sectional studies (n = 14) |
Selection |
Comparability |
Outcome |
Total Score | ||||
|---|---|---|---|---|---|---|---|---|
| Representativeness of the sample | Sample size | Non-respondents | Ascertainment of the exposure (risk factor) | The subjects in different outcome groups are comparable | Assessment of the outcome | Statistical test | ||
| Balci et al. (2021) | – | – | ☆ | ☆☆ | ☆☆ | ☆ | ☆ | ☆☆☆☆☆☆☆ (7) |
| Pérez et al. (2021) | – | ☆ | ☆ | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆☆ (7) |
| Maugeri et al. (2020) | – | – | – | – | – | ☆ | ☆ | ☆☆ (2) |
| Sasaki et al. (2021) | ☆ | ☆ | – | ☆☆ | – | ☆ | ☆ | ☆☆☆☆☆☆ (6) |
| Qin et al. (2020) | – | ☆ | – | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆ (6) |
| Yamada et al. (2020) | – | ☆ | – | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆ (6) |
| de Matos et al. (2020) | – | – | – | ☆ | ☆☆ | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Meyer et al. (2020) | – | ☆ | ☆ | ☆☆ | – | ☆ | – | ☆☆☆☆☆☆ (6) |
| Richardson et al. (2021) | – | ☆ | ☆ | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆☆ (7) |
| Di Santo et al. (2020) | – | ☆ | ☆ | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆☆ (7) |
| Ruiz-Roso et al. (2020) | – | – | ☆ | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆☆ (6) |
| Carvalho et al. (2021) | – | – | – | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Lage et al. (2021) | ☆ | ☆ | – | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆ ☆☆ (7) |
| Leavy et al. (2021) | – | – | – | ☆☆ | ☆ | ☆ | ☆ | ☆☆☆☆☆ (5) |
Table 4.
Quality assessments for cohort studies included (NEWCASTLE-OTTAWA QUALITY ASSESSMENT SCALE).
| Cohort studies (n = 11) |
Selection |
Comparability |
Outcome |
Total Score | |||||
|---|---|---|---|---|---|---|---|---|---|
| Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts on the basis of the design or analysis | Assessment of outcome | Was follow-up long enough for outcomes to occur | Adequacy of follow up of cohorts | ||
| Song et al. (2020) | – | – | ☆ | ☆ | ☆ | – | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Visser et al. (2020) | – | – | – | – | ☆ | – | ☆ | ☆ | ☆☆☆ (3) |
| Browne et al. (2020) | – | – | ☆ | ☆ | – | ☆ | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Wang et al. (2020b) | ☆ | – | – | ☆ | ☆ | – | – | ☆ | ☆☆☆☆ (4) |
| Suzuki et al. (2020) | – | – | – | ☆ | ☆☆ | – | – | ☆ | ☆☆☆☆ (4) |
| Chambonniere et al. (2021) | ☆ | – | – | – | ☆ | ☆ | – | ☆ | ☆☆☆☆ (4) |
| Miyahara et al. (2021) | – | – | – | ☆ | ☆☆ | – | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Yamada et al. (2021) | ☆ | – | – | ☆ | ☆ | – | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Nascimento et al. (2021) | – | – | – | ☆ | ☆ | – | ☆ | ☆ | ☆☆☆☆ (4) |
| García-Esquinas et al. (2021) | ☆ | – | – | ☆ | ☆ | – | ☆ | ☆ | ☆☆☆☆☆ (5) |
| Salman et al. (2021) | ☆ | – | – | ☆ | ☆ | – | ☆ | ☆ | ☆☆☆☆☆ (5) |
In Table 3, of the 14 cross-sectional studies, 5 were classified as “high-quality” (7 stars), 8 as “moderate quality” (4 to 6 stars) and 1 as “low-quality” (≤ 3 stars). In Table 4, all 11 cohort studies were classified as “low-quality” (≤ 5 stars).
4. Discussion
The studies included in this systematic review confirmed the hypothesis that the elderly population had the PA levels affected during restrictions, quarantines and lockdowns due to the COVID-19 pandemic, regardless of the country of origin of the study, given that each country followed its sanitary rules. The studies showed that there was a reduction in PA levels in the elderly due to the increase in sitting time, reduction in METs and decrease of the number of steps, which can lead to a decline in physical fitness and an increase in sedentary lifestyle.
Maugeri et al. (2020) showed a significant reduction in the total energy for weekly PA of the elderly in Italy. Pérez et al. (2021) in Spain, Meyer et al. (2020) in USA, Qin et al. (2020) in China and Yamada et al., 2020, Yamada et al., 2021 in Japan found similar data, each one in their countries. Such data point to a PA reduction at a global level, reinforcing the need to develop strategies to change this condition, regardless of the country of origin. However, although the studies in this systematic review showed that the elderly people had PA levels affected by the pandemic independently in the country of origin of the study, it is important to emphasize that majority of the studies included in this systematic review were conducted in Europe and Asia (21 of 25 studies).
Both continents (Europe and Asia) suffered drastically with the COVID-19 pandemic and had high infection rates in 2020. Not coincidentally, countries in these continents had more severe social distancing and quarantine policies (China's aggressive measures have slowed the coronavirus, 2020; Woskie et al., 2021), which surely affected the lifestyle of these populations. This can be observed by the infection and mortality rates worldwide. Currently, the American continent leads the ranking of infections and mortality by COVID-19 (COVID-19 ranking, n.d.), which reflects the most flexible social distancing policies in these countries, especially in the United States and Brazil. Asia and Europe adopted early and aggressive social distancing policies to contain the outbreak (China's aggressive measures have slowed the coronavirus, 2020; Woskie et al., 2021), and despite there is no clear evidence comparing the impact of these policies between countries worldwide on PA levels, this leads us to the understanding that these measures had a greater impact on mobility and lifestyle of the European and Asian population when comparing to other continents.
In an accelerometer-based analysis on the PA level of 35 hypertensive elderly adults before and after the COVID-19 pandemic, Browne et al. (2020) showed that the pandemic significantly reduced steps/day (β = −886 steps/day, SE = 361, p = 0.018), moderate-vigorous PA (β = −2.8 min/day, SE = 2.4, p = 0.018), and a trend in light PA (β = −26.6 min/day, SE = 13.4, p = 0.053) of elderly. The authors also showed that sedentary behavior increased during the pandemic outbreak (β = 29.6 min/day, SE = 13.4, p = 0.032) in this population.
It is noteworthy that during the period when the study of Browne et al. (2020) was carried out, Brazil was experiencing a partial blockage of outdoor activities in many regions of the country, and the fact that this study assessed elderly people, allows us to clarify the results found. As the mortality rate was high in elderly and considering the daily disclosure by the media in relation to the number of deaths as well as the “stay at home” recommendations, this population may have had an even more severe impact on the reduction of the level of physical activity in relation to other age groups, favoring an increase in sedentary behavior, corroborating the findings of the Browne et al. (2020) study. In addition, in the study by Miyahara et al. (2021), carried out in Japan, in which they used accelerometers to objectively measure physical activity, the government officials imposed strict rules for the lockdown, affecting the level of physical activity, as shown by the results. On the other hand, in Sweden study, it is known that the impact of lockdowns and government-imposed blocks was smaller, with no impact on the level of physical activity of the elderly, as shown in the study by Leavy et al. (2021).
In addition to the reduction in PA level, studies also associated this with other factors, such as frailty, pointed out by Shinohara et al. (2021). The worse self-perception of health reported by the elderly indicated a greater frailty, and those who were aware of a decrease in their lower limb muscle strength were significantly more fragile (Shinohara et al., 2021). Makizako et al. (2021) also underscore this decline in health perception and associate lower rates of exercise with a decline in cognitive function during a state of emergency.
Therefore, the pandemic not only caused a reduction in the level of PA in this population, but also the self-perception of health, muscle strength and cognitive function, which may result in irreversible consequences in this critical period. It is still not possible to state the reasons why this level of PA has decreased, requiring studies with better methodological quality and validated assessments. These studies should consider personal, environmental and other factors that may influence the level of PA and should be better studied as potential preventive aspects and intervention targets.
It is known the importance of physical exercise in the elderly. Cunningham et al. (2020) and McPhee et al. (2016) identified that physically active elderly people have a reduced risk of cardiovascular mortality, breast and prostate cancer, fractures, limitations in activities of daily living (ADLs), functional limitations, risk of falls, cognitive declines and depression. In addition, the active elderly also experiences healthier aging trajectories and better quality of life. The authors also emphasize that starting with small increases in PA can encourage this population to progressively incorporate more activities into their daily routine (Cunningham et al., 2020; McPhee et al., 2016). Oliveira et al. (2020) corroborate that there is an association between PA and prevention of frailty and sarcopenia. Thus, encouraging physical exercise and PA in the elderly in this pandemic period becomes essential.
Hammami et al. (2020) complemented that for optimal health, dietary guidelines must be combined with a physically active lifestyle and that during the prolonged “stay at home” policies, regular activity hours were changed, leading to an increase in sedentary behavior. The study also suggests that, currently, exercise is crucial, as PA is capable of improving sleep quality, mood and attenuating the manifestations of stress and anxiety, increased by social isolation. In addition, exercising at an appropriate intensity is associated with better immune system responses against viral respiratory infections (Hammami et al., 2020). Chen et al. (2021) propose that the immunological hypothesis for the vulnerability of COVID-19 in the elderly involves an age-related impairment of the immune defense (immunosenescence) and consequently an increased risk of immunopathology.
Curiously, despite the fact that the elderly population is more susceptible to suffer from COVID-19, being a high-risk population for the disease, there is evidence that higher ages may not turn the elderly more likely to isolate, when compared to people with 50 to 60 years old (Daoust, 2020). However, it is important to mention that the minimum social isolation may have greater impact in elderly people, especially when it comes to decreases in PA and functional capacity, since it is already known that muscle mass decreases 3 to 8% per decade after the age of 30 and it comes even worse after de age of 60 (Volpi et al., 2004).
Regarding the methodological quality of the studies, most of the cross-sectional studies were classified as “moderate quality”, whereas for the cohort studies, “low quality” methodologies were prevalent, mainly because the studies did not perform the selection and comparability recommendations as suggested by the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) (Von Elm et al., 2007). However, since COVID-19 is a new disease, which still needs further studies for its better understanding, this preliminary evidence was able to provide important information to direct strategies for the development of exercise protocols focused on the elderly population, which lack scientific support at the current time.
There are limitations in our systematic review that must be considered. Among them, there is a bias in the subjectivity of the responses to the questionnaires in relation to the level of PA and referred symptoms applied in the included studies, as these are often self-reported. In addition, the heterogeneity of the measures of the studies found can be mentioned, which limits the use of more robust methods for the synthesis of results. Also, due to the fact that this review includes observational studies (cross-sectional and cohort), we cannot confirm these data, as they do not prove cause and effect. However, it is important to highlight that we seek the best evidence, with validated assessments and that COVID-19 is a new disease and we still have many gaps that only time will allow scientists and researchers to answer. As it is a recent and relevant topic at the moment, the results of the present study may provide important contribution to clinical practice, given the scarcity of data to guide health professionals.
Furthermore, we must consider that the included studies did not classify individuals according to their PA level before and after the pandemic, however, few studies used gold standard measures to objectively measure physical activity (i.e. accelerometers). Finally, the most of studies did not report the severity of the lockdown imposed in each region in which the study was developed in order to consider the impact of lockdown in the active behavior and if some physical approaches were made to attenuate these changes. Therefore, we recommend that future studies consider the points above mentioned so that more consistent analyzes can confirm the findings of active behavior impairment caused by the COVID-19 pandemic.
4.1. Clinical implications
Since the end of 2019 the general population and mainly the elderly have been suffering from the loss of public spaces, such as gyms, physiotherapy clinics, outdoor leisure areas and social exercise groups. As a consequence, the present systematic review showed the reduction in the PA levels, with studies consistently showing this reduction mainly from the IPAQ (increase in sitting time and reduction in the amount of METs) and accelerometry (reduction in the number of steps). This is an important factor for the loss of muscle strength, mobility, balance, cardiorespiratory endurance, functional independence, increased depression index and, consequently, increased frailty syndrome in the elderly (Battaglia et al., 2014; Bellafiore et al., 2011; Cesari et al., 2015; O'Connor et al., 1993). All these consequences are related to an increased risk of mortality.
As an alternative, in times of PA restriction due to the pandemic, home and outdoor exercises can maintain and improve the health and fitness of the elderly, given the decrease in PA levels observed in this population, as seen in this systematic review. Finally, Chen et al. (2021) suggest that exercise supervision, whether through weekly visits or telephone calls, is recommended to improve the effects of exercise at home and reduce the risk of falls.
Thus, this review provides data to guide health professionals, such as geriatricians, physiotherapists, physical educators, nutritionists and health assistants, to focus on the need to implement/maintain exercise promotion, reducing functional losses during the pandemic of COVID-19 and to encourage the continuity of activities and physical exercise safely, in order to maintain their healthy lifestyle and, consequently, improve their autonomy and quality of life.
5. Conclusion
The level of PA in the elderly population decreased during the quarantine period of COVID-19 worldwide. The increase in sitting time, reduction in the amount of METs and the decrease in the number of steps were important factors for the reduction of PA levels. However, most studies presented a low to moderate methodological quality and assessed the level of PA through questionnaires, which may underestimate the findings. Therefore, more accurate methods to assess PA levels in the elderly and clinical studies to find the cause and effect of symptoms are needed in future studies.
In addition, strategies to maintain physical condition must be developed with exercise protocols and interventions that match the needs of the elderly in the current pandemic scenario, in order to maintain/improve the health, muscle strength, cognitive function and, consequently, quality of life of the elderly population.
Funding acknowledgement
This study is supported by a research grant by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior- Brasil (CAPES - 001) and by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Audrey Borghi-Silva is an established Investigator (level IB) of the CNPq, Brazil.
Declaration of competing interest
No potential conflict of interest was reported by the authors.
Section editor: Christiaan Leeuwenburgh
References
- Ahima R.S. Connecting obesity, aging and diabetes. Nat. Med. 2009;15(9):996–997. doi: 10.1038/nm0909-996. [DOI] [PubMed] [Google Scholar]
- Balci B., Aktar B., Buran S., Tas M., Donmez Colakoglu B. Impact of the COVID-19 pandemic on physical activity, anxiety, and depression in patients with Parkinson’s disease. Int. J. Rehabil. Res. 2021;44(2):173–176. doi: 10.1097/MRR.0000000000000460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Battaglia G., Bellafiore M., Caramazza G., Paoli A., Bianco A., Palma A. Changes in spinal range of motion after a flexibility training program in elderly women. Clin. Interv. Aging. 2014;9:653–660. doi: 10.2147/CIA.S59548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bellafiore M., Battaglia G., Bianco A., Paoli A., Farina F., Palma A. Improved postural control after dynamic balance training in older overweight women. Aging Clin. Exp. Res. 2011;23(5–6):378–385. doi: 10.1007/BF03337762. [DOI] [PubMed] [Google Scholar]
- Browne R.A.V., Macêdo G.A.D., Cabral L.L.P., Oliveira G.T.A., Vivas A., Fontes E.B., et al. Initial impact of the COVID-19 pandemic on physical activity and sedentary behavior in hypertensive older adults: an accelerometer-based analysis. Exp. Gerontol. 2020;142(October) doi: 10.1016/j.exger.2020.111121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carvalho J., Borges-Machado F., Pizarro A.N., Bohn L., Barros D. Home confinement in previously active older adults: a cross-sectional analysis of physical fitness and physical activity behavior and their relationship with depressive symptoms. Front. Psychol. 2021;12(May):1–10. doi: 10.3389/fpsyg.2021.643832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention (CDC) 2020. Social Distancing - Keep a Safe Distance to Slow the Spread. [Google Scholar]
- Cesari M., Vellas B., Hsu F.C., Newman A.B., Doss H., King A.C., et al. A physical activity intervention to treat the frailty syndrome in older persons - results from the LIFE-P study. Journals Gerontol - Ser A Biol Sci Med Sci. 2015;70(2):216–222. doi: 10.1093/gerona/glu099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chambonniere C., Lambert C., Tardieu M., Fillon A., Genin P., Larras B., et al. Physical activity and sedentary behavior of elderly populations during confinement: results from the FRENCH COVID-19 ONAPS survey. Exp. Aging Res. 2021;47(5):401–413. doi: 10.1080/0361073X.2021.1908750. [DOI] [PubMed] [Google Scholar]
- Chen Y., Klein S.L., Garibaldi B.T., Li H., Wu C., Osevala N.M., et al. Aging in COVID-19: Vulnerability, immunity and intervention. Ageing Res Rev [Internet] 2021;65(October 2020):101205. doi: 10.1016/j.arr.2020.101205. Available from. [DOI] [PMC free article] [PubMed] [Google Scholar]
- COVID-19 ranking.
- Cunningham C., Caserotti P., Tully M.A., O’Sullivan R. Consequences of physical inactivity in older adults: A systematic review of reviews and meta-analyses. Scand J Med Sci Sport. 2020;30(5):816–827. doi: 10.1111/sms.13616. [DOI] [PubMed] [Google Scholar]
- Daoust J.F. Elderly people and responses to COVID-19 in 27 countries. PLoS One. 2020;15(7):1–13. doi: 10.1371/journal.pone.0235590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Matos D.G., Aidar F.J., de Almeida-Neto P.F., Moreira O.C., de Souza R.F., Marçal A.C., et al. The impact of measures recommended by the government to limit the spread of coronavirus (COVID-19) on physical activity levels, quality of life, and mental health of Brazilians. Sustainability. 2020;12(21):1–13. [Google Scholar]
- Di Santo S.G., Franchini F., Filiputti B., Martone A., Sannino S. The effects of COVID-19 and quarantine measures on the lifestyles and mental health of people over 60 at increased risk of dementia. Front Psychiatry. 2020;11(October):1–14. doi: 10.3389/fpsyt.2020.578628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ekelund U., Brage S., Ong K.K., De Lucia Rolfe E., et al. Silva B.G.C.D., Silva I.C.M.D. Associations of physical activity and sedentary time with body composition in Brazilian young adults. Sci Rep. 2019;9(1):1–10. doi: 10.1038/s41598-019-41935-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- García-Esquinas E., Ortolá R., Gine-Vázquez I., Carnicero J.A., Mañas A., Lara E., et al. Changes in health behaviors, mental and physical health among older adults under severe lockdown restrictions during the covid-19 pandemic in Spain. Int. J. Environ. Res. Public Health. 2021;18(13) doi: 10.3390/ijerph18137067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hall G., Laddu D.R., Phillips S.A., Lavie C.J., Arena R. A tale of two pandemics: how will COVID-19 and global trends in physical inactivity and sedentary behavior affect one another? Prog. Cardiovasc. Dis. 2021;64(xxxx):108–110. doi: 10.1016/j.pcad.2020.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hammami N., Jdidi H., Frih B. COVID-19 pandemic: physical activity as prevention mean. Open Sports Sci J. 2020;13(1):120–122. [Google Scholar]
- Johns Hopkins University . 2021. COVID-19 Mortality Analyses. [Google Scholar]
- Lage A., Carrapatoso S., de Queiroz Sampaio, Neto E., Gomes S., Soares-Miranda L., Bohn L. Associations between depressive symptoms and physical activity intensity in an older adult population during COVID-19 lockdown. Front. Psychol. 2021;12(June) doi: 10.3389/fpsyg.2021.644106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leavy B., Hagströmer M., Conradsson D.M., Franzén E. Physical activity and perceived health in people with Parkinson disease during the first wave of COVID-19 pandemic: a cross-sectional study from Sweden. J. Neurol. Phys. Ther. 2021;45(4):266–272. doi: 10.1097/NPT.0000000000000372. [DOI] [PubMed] [Google Scholar]
- Lin Y.A., Chen Y.J., Tsao Y.C., Yeh W.C., Li W.C., Tzeng I.S., et al. Relationship between obesity indices and hypertension among middle-aged and elderly populations in Taiwan: a community-based, cross-sectional study. BMJ Open. 2019;9(10):1–8. doi: 10.1136/bmjopen-2019-031660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luís R.W., Carlos S., Fabbri S., Silva C., Luís R.W., Piracicaba S.C., et al. EASE ’16 Proc 20th Int Conf Eval Assess Softw Eng Assoc Comput Mach. Vol. 21. 2016. Improvements in the StArt tool to better support the systematic review process; pp. 1–5. [Google Scholar]
- Makizako H., Nakai Y., Shiratsuchi D., Akanuma T., Yokoyama K., Matsuzaki-Kihara Y., et al. Perceived declining physical and cognitive fitness during the COVID-19 state of emergency among community-dwelling japanese old-old adults. Geriatr Gerontol Int. 2021;21(4):364–369. doi: 10.1111/ggi.14140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martinez E.Z., Silva F.M., Morigi T.Z., Zucoloto M.L., Silva T.L., Joaquim A.G., et al. Physical activity in periods of social distancing due to covid-19: a cross-sectional survey. Cienc e Saude Coletiva. 2020;25:4157–4168. doi: 10.1590/1413-812320202510.2.27242020. [DOI] [PubMed] [Google Scholar]
- Matrajt L., Leung T. Evaluating the effectiveness of social distancing interventions to delay or flatten the epidemic curve of coronavirus disease. Emerg. Infect. Dis. 2020;26(8):1740–1748. doi: 10.3201/eid2608.201093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maugeri G., Castrogiovanni P., Battaglia G., Pippi R., D’Agata V., Palma A., et al. The impact of physical activity on psychological health during Covid-19 pandemic in Italy. Heliyon [Internet] 2020;6(6):e04315. doi: 10.1016/j.heliyon.2020.e04315. Available from. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McPhee J.S., French D.P., Jackson D., Nazroo J., Pendleton N., Degens H. Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology. 2016;17(3):567–580. doi: 10.1007/s10522-016-9641-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meyer J., Herring M., McDowell C., Lansing J., Brower C., Schuch F., et al. Joint prevalence of physical activity and sitting time during COVID-19 among US adults in april 2020. Prev Med Reports. 2020;20 doi: 10.1016/j.pmedr.2020.101256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miyahara S., Tanikawa Y., Hirai H., Togashi S. Impact of the state of emergency enacted due to the COVID-19 pandemic on the physical activity of the elderly in Japan. J. Phys. Ther. Sci. 2021;33(4):345–350. doi: 10.1589/jpts.33.345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nascimento R.J.do, Barbosa Filho V.C., Rech C.R., Brasil R.B., Junior R.C., Streit I.A., et al. Changes in health-related quality of life and physical activity among older adults in the first-wave COVID-19 outbreak: a longitudinal analysis. J Aging Phys Act. 2021;(October):1–8. doi: 10.1123/japa.2021-0104. [DOI] [PubMed] [Google Scholar]
- Newman A.B., Kupelian V., Visser M., Simonsick E.M., Goodpaster B.H., Kritchevsky S.B., et al. Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. Journals Gerontol - Ser A Biol Sci Med Sci. 2006;61(1):72–77. doi: 10.1093/gerona/61.1.72. [DOI] [PubMed] [Google Scholar]
- O’Connor P.J., Louis E.A.I., Dishman R.K. Physical activity and depression in the elderly. J. Aging Phys. Act. 1993;1(1):34–58. [Google Scholar]
- Oliveira J.S., Pinheiro M.B., Fairhall N., Walsh S., Franks T.C., Kwok W., et al. Evidence on physical activity and the prevention of frailty and sarcopenia among older people: a systematic review to inform the World Health Organization physical activity guidelines. J. Phys. Act. Health. 2020;17(12):1247–1258. doi: 10.1123/jpah.2020-0323. [DOI] [PubMed] [Google Scholar]
- Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., The P.R.I.S.M.A., et al. Statement: an updated guideline for reporting systematic reviews. BMJ. 2020;2021:372. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Page M.J., Moher D., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:1–36. doi: 10.1136/bmj.n160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pelicioni P.H.S., Lord S.R. Brazilian journal of COVID-19 will severely impact older people's lives, and. Braz. J. Phys Ther. 2020;24(4):293–294. doi: 10.1016/j.bjpt.2020.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pérez L.M., Castellano-Tejedor C., Cesari M., Soto-Bagaria L., Ars J., Zambom-Ferraresi F., et al. Depressive symptoms, fatigue and social relationships influenced physical activity in frail older community-dwellers during the spanish lockdown due to the covid-19 pandemic. Int. J. Environ. Res. Public Health. 2021;18(2):1–13. doi: 10.3390/ijerph18020808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pérez-Ros P., Martínez-Arnau F.M., Orti-Lucas R.M., Tarazona-Santabalbina F.J. A predictive model of isolated and recurrent falls in functionally independent community-dwelling older adults. Braz. J. Phys. Ther. 2019;23(1):19–26. doi: 10.1016/j.bjpt.2018.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Powell-Wiley T.M., Poirier P., Burke L.E., Després J.-P., Gordon-Larsen P., Lavie C.J., et al. Obesity and cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2021;143(21) doi: 10.1161/CIR.0000000000000973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qin F., Song Y., Nassis G.P., Zhao L., Dong Y., Zhao C., et al. Physical activity, screen time, and emotional well-being during the 2019 novel coronavirus outbreak in China. Int. J. Environ. Res. Public Health. 2020;17(14):1–16. doi: 10.3390/ijerph17145170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richardson D.L., Duncan M.J., Clarke N.D., Myers T.D., Tallis J. The influence of COVID-19 measures in the United Kingdom on physical activity levels, perceived physical function and mood in older adults: a survey-based observational study. J. Sports Sci. 2021;39(8):887–899. doi: 10.1080/02640414.2020.1850984. [DOI] [PubMed] [Google Scholar]
- Rodrigues G.D., de DA Junior E., Soares P.P. da S. Stay active, stay at home and stay safe: the risk of falls in older adults in the COVID-19 quarantine. Geriatr Gerontol Aging. 2020;14(3):216–217. [Google Scholar]
- Roschel H., Artioli G.G., Gualano B. Risk of increased physical inactivity during COVID-19 outbreak in older people: a call for actions. J. Am. Geriatr. Soc. 2020;68(6):1126–1128. doi: 10.1111/jgs.16550. [DOI] [PubMed] [Google Scholar]
- Ruiz-Roso M.B., Knott-Torcal C., Matilla-Escalante D.C., Garcimartín A., Sampedro-Nuñez M.A., Dávalos A., et al. Covid-19 lockdown and changes of the dietary pattern and physical activity habits in a cohort of patients with type 2 diabetes mellitus. Nutrients. 2020;12(8):1–16. doi: 10.3390/nu12082327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salman D., Beaney T., De Jager Loots C.A., Giannakopoulou P., Udeh-Momoh C.T., et al. C E.Robb. Impact of social restrictions during the COVID-19 pandemic on the physical activity levels of adults aged 50-92 years: abaseline survey of the CHARIOT COVID-19 Rapid Response prospective cohort study. BMJ Open. 2021;11(8):1–12. doi: 10.1136/bmjopen-2021-050680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sasaki S., Sato A., Tanabe Y., Matsuoka S., Adachi A., Kayano T., et al. Associations between socioeconomic status, social participation, and physical activity in older people during the COVID-19 pandemic: a cross-sectional study in a northern japanese city. Int. J. Environ. Res. Public Health. 2021;18(4):1–10. doi: 10.3390/ijerph18041477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shinohara T., Saida K., Tanaka S., Murayama A. Association between frailty and changes in lifestyle and physical or psychological conditions among older adults affected by the coronavirus disease 2019 countermeasures in Japan. Geriatr Gerontol Int. 2021;21(1):39–42. doi: 10.1111/ggi.14092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Song J., Hyeon J., Choi I., Kyu J., Whan J. The changes of exercise pattern and clinical symptoms in patients with Parkinson’s disease in the era of COVID-19 pandemic. Park Relat Disord. 2020;80:148–151. doi: 10.1016/j.parkreldis.2020.09.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 2010;25(9):603–605. doi: 10.1007/s10654-010-9491-z. [DOI] [PubMed] [Google Scholar]
- Stockwell S., Trott M., Tully M., Shin J., Barnett Y., Butler L., et al. Changes in physical activity and sedentary behaviours from before to during the COVID-19 pandemic lockdown: a systematic review. BMJ Open Sport Exerc. Med. 2021;7(1):1–8. doi: 10.1136/bmjsem-2020-000960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Suzuki Y., Maeda N., Hirado D., Shirakawa T., Urabe Y. Physical activity changes and its risk factors among community-dwelling japanese older adults during the COVID-19 epidemic: associations with subjective well-being and health-related quality of life. Int. J. Environ. Res. Public Health. 2020;17(18):1–12. doi: 10.3390/ijerph17186591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ten Hacken N.H.T. Physical inactivity and obesity: relation to asthma and chronic obstructive pulmonary disease? Proc. Am. Thorac. Soc. 2009;6(8):663–667. doi: 10.1513/pats.200907-070DP. [DOI] [PubMed] [Google Scholar]
- Visser M., Schaap L.A., Wijnhoven H.A.H. Self-reported impact of the covid-19 pandemic on nutrition and physical activity behaviour in dutch older adults living independently. Nutrients. 2020;12(12):1–11. doi: 10.3390/nu12123708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Volpi E., Nazemi R., Fujita S. Muscle tissue changes with aging. Curr Opin Clin Nutr Metab Care. 2004;7(4):405–410. doi: 10.1097/01.mco.0000134362.76653.b2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Von Elm E., Altman D.G., Egger M., Pocock S.J., Gøtzsche P.C., Vandenbrouckef J.P. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–1457. doi: 10.1016/S0140-6736(07)61602-X. [DOI] [PubMed] [Google Scholar]
- Wang Y., Tian H., Zhang L., Zhang M., Guo D., Wu W., et al. Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing: a cohort study in Beijing. China. BMJ Glob Health. 2020;5(5):1–9. doi: 10.1136/bmjgh-2020-002794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y., Zhang Y., Bennell K., White D.K., Wei J., Wu Z., et al. Physical distancing measures and walking activity in middle-aged and older residents in Changsha, China, during the COVID-19 epidemic period: longitudinal observational study. J. Med. Internet Res. 2020;22(10) doi: 10.2196/21632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- . GA Wells B Shea D O’Connell J Peterson V Welch M Losos PT . The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-analyses.
- WHO . 2020. Transmission of SARS-CoV-2: Implications for Infection Prevention Precautions. [Google Scholar]
- WHO . 2020. Physical Acitivity. [Google Scholar]
- Woskie L.R., Hennessy J., Espinosa V., Tsai T.C., Vispute S., Jacobson B.H., et al. Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020. PLoS One. 2021;16(6 June):1–12. doi: 10.1371/journal.pone.0253071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yamada M., Kimura Y., Ishiyama D., Otobe Y., Suzuki M., Koyama S., et al. Effect of the COVID-19 epidemic on physical activity in community-dwelling older adults in Japan: a cross-sectional online survey. J Nutr Heal Aging. 2020;24(April):948–950. doi: 10.1007/s12603-020-1501-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yamada M., Kimura Y., Ishiyama D., Otobe Y., Suzuki M., Koyama S., et al. The influence of the COVID-19 pandemic on physical activity and new incidence of frailty among initially non-frail older adults in Japan: a follow-up online survey. J Nutr Heal Aging. 2021;25(6):751–756. doi: 10.1007/s12603-021-1634-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- World Health Organization Report . 2020. Pneumonia of unknown cause – China. [Google Scholar]
- China’s aggressive measures have slowed the coronavirus . 2020. They may not work in other countries. [Google Scholar]