ABSTRACT
BACKGROUND:
Compared to young individuals, older adults participate more in sedentary behavior (SB) and less in physical activity (PA). These behaviors are associated with numerous adverse health factors.
OBJECTIVE:
The purpose of the study was to examine the hypothetical effects of substituting time spent sleeping, performing SB, and performing moderate-to-vigorous physical activity (MVPA) on depressive symptomatology in older adults.
DESIGN AND SETTING:
An analytical cross-sectional study employing exploratory survey methods was conducted in the city of Alcobaça in the state of Bahia, Brazil
METHODS:
The study included 473 older adults who answered a structured questionnaire during an interview. Exposure time to SB and PA level were assessed using the International Physical Activity Questionnaire, and depressive symptoms were analyzed using the short version of the Geriatric Depression Scale. An isotemporal replacement model was used to evaluate the effects of different SB sessions on depressive symptomatology.
RESULTS:
An increase in the risk of depressive symptoms was observed when MVPA and sleep time were substituted for the same SB time at all times tested, with maximum values of 40% and 20%, respectively. Opposite substitution of MVPA and sleep time increments reduced the risk of depressive symptomatology by 28% and 17%, respectively.
CONCLUSIONS:
The results of the present study indicate that replacing SB with the same amount of sleep or MVPA may reduce depressive symptoms. The longer the reallocation time, the greater are the benefits.
KEY WORDS (MeSH terms): Public health, Aging, Health behavior, Statistical Models, Epidemiology
AUTHORS’ KEY WORDS: Sedentary behavior, Sitting time, Elderly, Isotemporal substitution model, Physical exercise
INTRODUCTION
Depression is considered one of the most prevalent mental disorders in many countries. 1 It frequently occurs in older adults and results from the interaction of several factors, including genetic factors, cognitive deficits, and disturbing situations. 2
Depression presents a major economic burden, as it ranks 15th among conditions with the highest healthcare costs, 3 causes a reduced functional capacity to perform basic activities of daily living, decreases quality of life, and is associated with increased use of health services, hospitalization, and mortality. 4 , 5 , 6
Specifically, in older adults, previous studies have noted that several factors contribute to the disease. 2 , 7 Among behavioral factors, a meta-analysis showed that people with depression are less physically active and engage in higher levels of sedentary behavior (SB). 8 Sleep time has also been shown to be associated with depression, with both short (≤ 6 hours) and long durations (> 9 hours) significantly and more strongly associated with depression than sleep durations between 7 and 9 hours. 9
Although there is consensus in the literature that intervention strategies based on increased regular physical activity (PA) are effective in reducing depressive symptoms, 10 it is necessary to consider other behaviors during the day. During a 24-hour period, different behaviors may be adopted: sleep, SB, and PA (light, moderate, and vigorous). 11 In addition, the interaction of behaviors (sleep, SB, and PA) over the course of 24 hours is directly related to an individual’s health. 12
The recommended sleep time for older adults is 7-8 hours per day, and the recommended amount of moderate-to-vigorous physical activity (MVPA) is 30 minutes/day. 13 , 14 Regarding SB, although there is not yet a recommended time per day, its reduction is important for individuals to maintain an active lifestyle, and increases in the time spent in light-intensity activities have been suggested. 15 , 16
Statistical isotemporal substitution modelling was used to assess the hypothetical effects of the replacement of time spent on activities on health conditions. Thus, hypothetical isotemporal replacement models have gained prominence in the literature and have been applied to assess the reallocation of a given time spent on one activity to the same time spent on another. 17
The analysis of isotemporal substitution has been applied in several studies in different populations, as highlighted in a recent systematic review. 18 For example, in a longitudinal study performed in older adults, it was found that the 60-minute replacement of sitting time for standing, walking, MVPA, and sleep for individuals sleeping ≤ 7 hours/day reduced the risk for mortality. 19
Previous studies have estimated the impact of isotemporal substitution on depressive symptoms, and positive effects were found when 60 minutes of television time was reallocated to walking at an average speed 20 and 60 minutes of SB time was reallocated to vigorous PA. 21 Specifically, in older adults, studies have reported the benefits of replacing time spent in SB with time spent in PA on depressive symptoms, 22 , 23 and the benefits of the replacement of only 30 minutes/day, not including a replacement with sleep, was verified. In addition, these studies were conducted in developed countries.
OBJECTIVE
This study aimed to examine the hypothetical effects of substituting time spent sleeping, engaged in SB, and performing MVPA on depressive symptomatology in older adults. We hypothesized that the substitution of time spent engaged in MVPA with the same amount of time spent in SB could increase the likelihood of developing depressive symptomatology and that inverse substitution when replacing SB with MVPA reduces the chances of developing depressive symptomatology.
METHODS
Study sample
A cross-sectional population-based epidemiological survey entitled the Longitudinal Study of the Elderly Health of Alcobaça (ELSIA Project) was conducted with individuals aged ≥ 60 years who were registered with the Family Health Strategy of the Health System of the Brazilian government in the municipality of Alcobaça, Brazil. The exclusion criteria were the presence of cognitive impairment according to the Mini-Mental State Examination, 24 inability to ambulate even with the assistance of a cane or walker, severe difficulty in visual and auditory acuity according to the interviewer’s perception, wheelchair dependence; and severe sequelae of a cerebrovascular accident with a localized loss of strength.
Among the 743 older adults registered in the Family Health Strategy, 54 refused to participate in the survey, 58 were excluded because they did not meet the inclusion criteria, and 158 could not be located. Thus, the analysis included 473 participants, with data collected from July to October 2015.
Data were collected at an older adult residence by a team of students and trained health professionals. Participants responded to a structured questionnaire during a face-to-face interview. The research protocols were evaluated and approved by the Research Ethics Committee of the Universidade Federal do Triangulo Mineiro (Ordinance No. 966.983/2015; February 25, 2015). All participants provided written informed consent before participation.
Outcome measures: depressive symptoms
Depressive symptoms were assessed using the Brazilian short-form version of the Geriatric Depression Scale (GDS-SF; Spearman’s rho test-retest reliability = 0.86). 25 The GDS-SF scale consists of 15 “yes or no” questions. The final score ranges from 0 to 15 points; a score of 6-10 points suggests mild to moderate depression, and a score of 11-15 points suggests serious or severe depression. In this study, the presence of depressive symptoms in older adults was defined as a score of ≥ 6 points.
Outcome measures: sleep, sedentary behavior, and physical activity
Time spent sleeping at night was measured using a single question, which was part of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index: “How many hours of actual sleep do you get at night?” 26
The time in SB and physical activity was determined using the long version of the International Physical Activity Questionnaire (IPAQ), which has been validated for the Brazilian older adult population (Kappa coefficient = 0.27 for women and 0.24 for men; Spearman’s rho test-retest reliability = 0.78 for women and 0.95 for men). 27 , 28 The participants were asked to report the time spent sitting during a typical weekday and weekend day and the time spent performing moderate- to vigorous-intensity physical activity in a standard week in four domains: work, transportation, domestic activities, and leisure activities.
The time spent engaged in SB during a typical day was calculated as [(time spent sitting during a typical weekday × 5 + time spent sitting during a typical weekend day × 2)/7]. The total time spent in moderate-to-vigorous-intensity physical activity (MVPA) per day was determined using the following formula: time spent in MVPA/day = [total minutes in moderate-intensity physical activity/week + (total minutes in vigorous-intensity physical activity/week × 2)]/7. 29
Covariates
Demographic variables included sex (male or female), age (years), and marital status (single/divorced, married, or widowed). These variables were self-reported by participants.
Statistical analysis
Data were entered twice using Epidata software, version 3.1b (EpiData Association, Odense, Denmark). Statistical analyses were performed using Statistical Package for the Social Sciences version 21.0 (SPSS Inc., Chicago, IL, USA).
To compare the participants’ characteristics according to depressive symptoms, t-tests or chi-square tests were used. To verify the hypothetical effects of reallocation of time spent on sleep, SB, and moderate and vigorous activities on depressive symptoms, the isotemporal substitution approach was used. 17 The isotemporal substitution analyses were performed by estimating the prevalence ratio (PR) with the respective 95% confidence interval (CI) using Poisson regression with robust variance. Isotemporal substitution models were performed for 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, and 60 minutes/day spent on sleep, SB, and MVPA and depressive symptoms. All models were adjusted for sex, age, and marital status, and the level of statistical significance was set at P < 0.05.
RESULTS
Of the 473 participants, 62.6% (n = 296) were women, and 46.0% (n = 217) were married. The average age of the participants was 70.2 (± 8.2) years, with a range of 60 to 97 years. On average, the participants spent 436.14 (± 105.94) minutes per day sleeping, 433.68 (± 162.45) minutes engaged in SB, and 52.12 (± 82.08) minutes performing MVPA.
Table 1 presents the participants’ characteristics based on the presence of depressive symptoms. Older adults who were female, were widowers, had longer SB, or had lower MVPA had depressive symptoms (Table 1).
Table 1. Characteristics of the participants by the presence of depressive symptoms.
| Absence of depressive symptoms | Presence of depressive symptoms | P | |
|---|---|---|---|
| Sex, n (%) | 0.041 | ||
| Male | 163 (39.1) | 14 (25.0) | |
| Female | 254 (60.9) | 42 (75.0) | |
| Marital status, n (%) | 0.004 | ||
| Single / divorced | 110 (26.4) | 15 (26.8) | |
| Married | 201 (48.3) | 16 (28.6) | |
| Widowed | 105 (25.2) | 25 (44.6) | |
| Age (years) | 70.01 ± 8.15 | 72.00 ± 8.89 | 0.091 |
| Sleep (min/day) | 438.31 ± 103.24 | 416.50 ± 116.42 | 0.145 |
| Sedentary behavior (min/day) | 424.43 ± 159.49 | 498.74 ± 162.29 | 0.001 |
| MVPA (min/day) | 54.82 ± 84.62 | 31.01 ± 40.22 | 0.001 |
MVPA = moderate to vigorous physical activity.
According to the isotemporal substitution models, more time spent sleeping or performing MVPA and less time spent engaged in SB reduced the likelihood of depressive symptoms (P < 0.05). When more time was substituted, the protective effect was greater, and reallocation to MVPA resulted in a greater reduction in depressive symptoms (Table 2).
Table 2. Isotemporal substitution models for depressive symptoms.
| Isotemporal models | Sleep | SB | MVPA |
|---|---|---|---|
| PR (95%CI) | PR (95%CI) | PR (95%CI) | |
| 5 minutes/day | |||
| Replace sleep | Dropped | 1.01 (1.01-1.03)* | 0.99 (0.96-1.01) |
| Replace SB | 0.98 (0.97-0.99)* | Dropped | 0.97 (0.95-0.99)* |
| Replace MVPA | 1.01(0.99-1.04) | 1.03 (1.01-1.06)* | Dropped |
| 10 minutes/day | |||
| Replace sleep | Dropped | 1.03 (1.01-1.06)* | 0.97 (0.92-1.03) |
| Replace SB | 0.97 (0.95-0.99)* | Dropped | 0.94 (0.89-0.99)* |
| Replace MVPA | 1.02 (0.97-1.08) | 1.06 (1.01-1.11)* | Dropped |
| 15 minutes/day | |||
| Replace sleep | Dropped | 1.05 (1.01-1.08)* | 0.96 (0.89-1.04) |
| Replace SB | 0.95 (0.92-0.99)* | Dropped | 0.92 (0.85-0.99)* |
| Replace MVPA | 1.04 (0.96-1.13) | 1.08 (1.01-1.18)* | Dropped |
| 20 minutes/day | |||
| Replace sleep | Dropped | 1.06 (1.02-1.11)* | 0.95 (0.85-1.06) |
| Replace SB | 0.94 (0.90-0.98)* | Dropped | 0.89 (0.80-0.99)* |
| Replace MVPA | 1.05 (0.94-1.17) | 1.12 (0.01-1.24)* | Dropped |
| 25 minutes/day | |||
| Replace sleep | Dropped | 1.08 (1.02-1.14)* | 0.94 (0.82-1.08) |
| Replace SB | 0.92 (0.88-0.98)* | Dropped | 0.87 (0.76-0.99)* |
| Replace MVPA | 1.06 (0.93-1.22) | 1.15 (1.01-1.31)* | Dropped |
| 30 minutes/day | |||
| Replace sleep | Dropped | 1.10 (1.03-1.17)* | 0.93 (0.79-1.09) |
| Replace SB | 0.91 (0.85-0.97)* | Dropped | 0.85 (0.72-0.99)* |
| Replace MVPA | 1.08 (0.92-1.27) | 1.18 (1.01-1.38)* | Dropped |
| 35 minutes/day | |||
| Replace sleep | Dropped | 1.11 (1.03-1.20)* | 0.92 (0.76-1.11) |
| Replace SB | 0.89 (0.83-0.97)* | Dropped | 0.82 (0.68-0.98)* |
| Replace MVPA | 1.09 (0.90-1.32) | 1.22 (1.01-1.46)* | Dropped |
| 40 minutes/day | |||
| Replace sleep | Dropped | 1.13 (1.04-1.24)* | 0.90 (0.73-1.12) |
| Replace SB | 0.88 (0.81-0.97)* | Dropped | 0.80 (0.65-0.98)* |
| Replace MVPA | 1.10 (0.89-1.37) | 1.25 (1.01-1.54)* | Dropped |
| 45 minutes/day | |||
| Replace sleep | Dropped | 1.15 (1.04-1.27)* | 0.89 (0.70-1.14) |
| Replace SB | 0.87 (0.79-0.96)* | Dropped | 0.77 (0.61-0.98)* |
| Replace MVPA | 1.12 (0.87-1.43) | 1.28 (1.01-1.63)* | Dropped |
| 50 minutes/day | |||
| Replace sleep | Dropped | 1.17 (1.04-1.30)* | 0.88 (0.67-1.16) |
| Replace SB | 0.86 (0.77-0.96)* | Dropped | 0.75 (0.58-0.98)* |
| Replace MVPA | 1.13 (0.86-1.48) | 1.32 (1.02-1.72)* | Dropped |
| 55 minutes/day | |||
| Replace sleep | Dropped | 1.18 (1.05-1.34)* | 0.87 (0.65-1.17) |
| Replace SB | 0.84 (0.75-0.95)* | Dropped | 0.74 (0.55-0.98)* |
| Replace MVPA | 1.15 (0.85-1.55) | 1.36 (1.02-1.82)* | Dropped |
| 60 minutes/day | |||
| Replace sleep | Dropped | 1.20 (1.06-1.37)* | 0.86 (0.62-1.19) |
| Replace SB | 0.83 (0.73-0.95)* | Dropped | 0.71 (0.52-0.98)* |
| Replace MVPA | 1.16 (0.84-1.61) | 1.40 (1.02-1.92)* | Dropped |
CI = confidence interval; PR = prevalence ratio; MVPA = moderate-to-vigorous physical activity; SB = sedentary behavior. The PR was adjusted for sex, age, and marital status. * P < 0.05.
DISCUSSION
This study examined the hypothetical effect of reallocation of time spent on active and sedentary activities on the prevalence of depressive symptoms in older adults. These results suggest that substituting sitting time for MVPA has positive effects on depressive symptoms. In addition, substituting sitting time with sleep resulted in benefits. These findings reinforce the benefits of these measures for preventing depressive symptoms, especially those related to an active lifestyle. 10
A study on SB in older adults has also been highlighted. This age group spent the most time engaged in SB, as evidenced by the results of studies conducted in developed 30 and developing 31 countries. As a consequence, it has been reported that older people who spend more time in SB have worse health conditions 16 and are at higher risk for depressive symptoms. 32
Within a 24-hour period, SB comprises a significant portion of an individual’s time. 12 Therefore, according to the present study, replacing 60 minutes/day of sitting time with MVPA or sleep can reduce the likelihood of depressive symptoms by 29 and 17%, respectively. Significant differences, albeit of lesser magnitude, were also observed when the amount of time replaced was shorter. Replacing activities with shorter durations may be more feasible for older adults. 33
Recent studies have verified that replacing 30 minutes of time spent engaged in SB with the equivalent time in low-intensity physical activity and MVPA 22 and transport time (walking/bicycling) and MVPA 23 is also beneficial. Unlike the results of the present study, those presented by Yasunaga et al. 22 showed no beneficial effects of the reallocation of SB time to MVPA in older Japanese adults. However, the authors found that replacing sedentary time with low-intensity physical activity resulted in decreased depressive symptoms. However, a study conducted by Wei et al. 23 in older adults in the U.S. (National Health and Nutrition Examination Survey) showed that replacing SB with walking/bicycling or MVPA was associated with lower severity of depressive symptoms among older adults.
The practice of MVPA in older adults is considered a protective factor against adverse health conditions 34 and mortality. 6 Moreover, the relationship between MVPA and depressive symptoms has been verified both in cross-sectional studies 35 , 36 and in longitudinal studies; 37 , 38 thus, it can be considered a protective factor.
In addition, exercise programs reduce depressive symptoms. According to a systematic review and meta-analysis of 41 randomized controlled trials conducted with older adults, exercise is an effective treatment option for older adults with depressive symptoms. 39
In addition to demonstrating that increased physical activity can reduce depressive symptoms, the results of the present study indicate that sleep plays a key role. Both long and short sleep durations are negatively associated with health 40 , 41 and a higher risk of mortality in older adults. 42 Furthermore, according to a meta-analysis of longitudinal studies, short and long sleep durations are risk factors for depressive symptoms. 43
Among the studies that evaluated the effect of isotemporal substitution on depressive symptoms, 20 , 22 the reallocation of sitting time was not tested with sleep. However, it has been shown that replacing 30 and 60 minutes of SB with an equivalent amount of time sleeping is associated with benefits in cardiovascular risk biomarkers 43 and a lower mortality risk, respectively, in those who sleep for fewer than 7 hours. 19
Thus, increasing the time spent sleeping seems to be a protective factor against depressive symptoms as sleep plays a role in homeostasis and body regulation, and its imbalance is associated with depression. 45 , 46 According to a two-year follow-up study, older adults who sleep for fewer than 6 hours at night have a higher incidence of depressive symptoms than those who sleep for 7-8 hours. 47
According to the consensus of a National Sleep Foundation expert panel, sleeping for fewer than 6 hours is associated with poorer health conditions, including physical and mental illnesses, compared with sleeping for 6-9 hours. The National Sleep Foundation further notes that sleeping for 9-10 hours or more is associated with diseases and an increased risk of mortality. 13
Thus, it is noteworthy that the results supporting an increase in the time spent sleeping should be interpreted with caution, as duration and previous sleeping time should be taken into consideration in older adults. It is possible that the older adults in the present study who sleep for fewer than 6 hours would benefit from increased sleeping time.
Finally, the results of this study reinforce the need for additional evidence on interventions to reduce SB in older adults. A recent systematic review found that interventions for SB reduction appeared to be effective in the short-term in adults; 48 however, evidence of this effect in older adults remains incipient. 16
With the results presented in the study, health professionals and public policies should focus on the regular practice of PA, encouraging decreased time engaged in SB, reducing the risk of various health hazards, including depressive symptoms.
Some limitations of the present study should be considered, as it is a cross-sectional study, which does not allow the determination of cause-and-effect relationships, and subjective measures were used to measure the level of physical activity and SB. However, it is worth noting that the IPAQ instrument has been validated in Brazil and is widely used. 46 A strong point of this study is the inclusion of sleeping time in the estimation of the hypothetical effect of isotemporal substitution and the different durations tested. This method is valuable and widely used in research, as it allows behavioral changes to be modeled, and can provide important insight for new studies and interventions without expending unnecessary time and resources on inefficient studies.
CONCLUSIONS
Replacing SB time with the same amount of time spent sleeping or performing MVPA can lead to a reduction in depressive symptoms. The longer the reallocation time, the greater are the benefits.
Acknowledgements
We would like to thank all of the participants who volunteered their time to participate in this study.
Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brasil
Sources of funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) with a graduate scholarship and supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (MCTI/CNPQ/Universal 14/2014, grant number: 448184/2014-1)
REFERENCES
- 1.World Health Organization . Depression and other common mental disorders global health estimates. Geneva: World Health Organization; 2017. [2023 (May 5)]. Available from: https://apps.who.int/iris/handle/10665/254610 . [Google Scholar]
- 2.Fiske A, Wetherell JL, Gatz M. Depression in older adults. Annu Rev Clin Psychol. 2009;5:363–389. doi: 10.1146/annurev.clinpsy.032408.153621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Prince MJ, Wu F, Guo Y, et al. The burden of disease in older people and implications for health policy and practice. Lancet. 2015;385(9967):549–562. doi: 10.1016/s0140-6736(14)61347-7. [DOI] [PubMed] [Google Scholar]
- 4.Zivin K, Llewellyn DJ, Lang IA, et al. Depression among older adults in the United States and England. Am J Geriatr Psychiatry. 2010;18(11):1036–1044. doi: 10.1097/jgp.0b013e3181dba6d2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ho CSh, Feng L, Fam J, et al. Coexisting medical comorbidity and depression: multiplicative effects on health outcomes in older adults. Int Psychogeriatr. 2014;26(7):1221–1229. doi: 10.1017/s1041610214000611. [DOI] [PubMed] [Google Scholar]
- 6.Corrêa VP, Confortin SC, d’Orsi E, et al. Depressive symptoms as an independent risk factor for mortality. Braz J Psychiatry. 2021;43(3):247–253. doi: 10.1590/1516-4446-2019-0749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fang H, Tu S, Sheng J, Shao A. Depression in sleep disturbance: a review on a bidirectional relationship, mechanisms and treatment. J Cell Mol Med. 2019;23(4):2324–2332. doi: 10.1111/jcmm.14170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Schuch F, Vancampfort D, Firth J, et al. Physical activity and sedentary behavior in people with major depressive disorder: a systematic review and meta-analysis. J Affect Disord. 2017;210:139–150. doi: 10.1016/j.jad.2016.10.050. [DOI] [PubMed] [Google Scholar]
- 9.Sun Y, Shi L, Bao Y, et al. The bidirectional relationship between sleep duration and depression in community-dwelling middle-aged and elderly individuals: evidence from a longitudinal study. Sleep Med. 2018;52:221–229. doi: 10.1016/j.sleep.2018.03.011. [DOI] [PubMed] [Google Scholar]
- 10.Pearce M, Garcia L, Abbas A, et al. Association between physical activity and risk of depression: a systematic review and meta-analysis. JAMA Psychiatry. 2022;79(6):550–559. doi: 10.1001/jamapsychiatry.2022.0609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tremblay MS, Aubert S, Barnes JD, et al. Sedentary Behavior Research Network (SBRN) - Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75–75. doi: 10.1186/s12966-017-0525-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Chaput JP, Carson V, Gray CE, Tremblay MS. Importance of all movement behaviors in a 24 hour period for overall health. Int J Environ Res Public Health. 2014;11(12):12575–12581. doi: 10.3390/ijerph111212575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hirshkowitz M, Whiton K, Albert SM, et al. National Sleep Foundation’s sleep time duration recommendations: methodology and results summary. Sleep Heal. 2015;1(1):40–43. doi: 10.1016/j.sleh.2014.12.010. [DOI] [PubMed] [Google Scholar]
- 14.World Health Organization . WHO Guidelines on Physical Activity and Sedentary Behaviour. Geneva: World Health Organization; 2020. [2023 (May 8)]. Available from: https://www.who.int/publications/i/item/9789240015128 . [PubMed] [Google Scholar]
- 15.Dogra S, Ashe MC, Biddle SJH, et al. Sedentary time in older men and women: an international consensus statement and research priorities. Br J Sports Med. 2017;51(21):1526–1532. doi: 10.1136/bjsports-2016-097209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Copeland JL, Ashe MC, Biddle SJ, et al. Sedentary time in older adults: a critical review of measurement, associations with health, and interventions. Br J Sports Med. 2017;51(21):1539–1539. doi: 10.1136/bjsports-2016-097210. [DOI] [PubMed] [Google Scholar]
- 17.Mekary RA, Willett WC, Hu FB, Ding EL. Isotemporal substitution paradigm for physical activity epidemiology and weight change. Am J Epidemiol. 2009;170(4):519–527. doi: 10.1093/aje/kwp163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Grgic J, Dumuid D, Bengoechea EG, et al. Health outcomes associated with reallocations of time between sleep, sedentary behaviour, and physical activity: a systematic scoping review of isotemporal substitution studies. Int J Behav Nutr Phys Act. 2018;15(1):69–69. doi: 10.1186/s12966-018-0691-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Stamatakis E, Rogers K, Ding D, et al. All-cause mortality effects of replacing sedentary time with physical activity and sleeping using an isotemporal substitution model: a prospective study of 201,129 mid-aged and older adults. Int J Behav Nutr Phys Act. 2015;12:121–121. doi: 10.1186/s12966-015-0280-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mekary RA, Lucas M, Pan A, et al. Isotemporal substitution analysis for physical activity, television watching, and risk of depression. Am J Epidemiol. 2013;178(3):474–483. doi: 10.1093/aje/kws590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Rethorst CD, Moncrieft AE, Gellman MD, et al. Isotemporal analysis of the association of objectively measured physical activity with depressive symptoms: results from hispanic community health study/study of latinos (HCHS/SOL) J Phys Act Health. 2017;14(9):733–739. doi: 10.1123/jpah.2016-0648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Yasunaga A, Shibata A, Ishii K, Koohsari MJ, Oka K. Cross-sectional associations of sedentary behaviour and physical activity on depression in Japanese older adults: an isotemporal substitution approach. BMJ Open. 2018;8(9):e022282. doi: 10.1136/bmjopen-2018-022282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wei J, Xie L, Song S, Wang T, Li C. Isotemporal substitution modeling on sedentary behaviors and physical activity with depressive symptoms among older adults in the U.S.: the national health and nutrition examination survey, 2007-2016. J Affect Disord. 2019;257:257–262. doi: 10.1016/j.jad.2019.07.036. [DOI] [PubMed] [Google Scholar]
- 24.Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 25.Almeida OP, Almeida SA. Confiabilidade da versão brasileira da escala de depressão em geriatria (GDS) versão reduzida. Arq Neuropsiquiatr. 1999;57(2B):421–426. doi: 10.1590/s0004-282x1999000300013. [DOI] [PubMed] [Google Scholar]
- 26.Bertolazi AN, Fagondes SC, Hoff LS, et al. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med. 2011;12(1):70–75. doi: 10.1016/j.sleep.2010.04.020. [DOI] [PubMed] [Google Scholar]
- 27.Benedetti TRB, Antunes PC, Rodriguez-Añez CR, Mazo GZ, Petroski ÉL. Reprodutibilidade e validade do Questionário Internacional de Atividade Física (IPAQ) em homens idosos. Rev Bras Med Esporte. 2007;13(1):11–16. doi: 10.1590/S1517-86922007000100004. [DOI] [Google Scholar]
- 28.Benedetti TRB, Mazo GZ, Barros MVG. Aplicação do Questionário Internacional de Atividades Físicas para avaliação do nível de atividades físicas de mulheres idosas: validade concorrente e reprodutibilidade teste-reteste. Rev Bras Ciência Mov. 2004;12(1):25–34. doi: 10.18511/rbcm.v12i1.538. [DOI] [Google Scholar]
- 29.Galvão LL, Silva RR, Tribess S, Santos DAT, Virtuoso JS., Junior Physical activity combined with sedentary behaviour in the risk of mortality in older adults. Rev Saúde Pública. 2021;55:60–60. doi: 10.11606/s1518-8787.2021055003461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Diaz KM, Howard VJ, Hutto B, et al. Patterns of sedentary behavior in US middle-age and older adults: The REGARDS Study. Med Sci Sports Exerc. 2016;48(3):430–438. doi: 10.1249/mss.0000000000000792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Malta DC, Andrade SSCA, Stopa SR, et al. Estilos de vida da população brasileira: resultados da Pesquisa Nacional de Saúde, 2013. Epidemiol Serv Saúde. 2015;24(2):217–226. doi: 10.5123/S1679-497420150002000004. [DOI] [Google Scholar]
- 32.Tsutsumimoto K, Makizako H, Doi T, et al. Prospective associations between sedentary behaviour and incident depressive symptoms in older people: a 15-month longitudinal cohort study. Int J Geriatr Psychiatry. 2017;32(2):193–200. doi: 10.1002/gps.4461. [DOI] [PubMed] [Google Scholar]
- 33.Yasunaga A, Shibata A, Ishii K, et al. Associations of sedentary behavior and physical activity with older adults’ physical function: an isotemporal substitution approach. BMC Geriatr. 2017;17(1):280–280. doi: 10.1186/s12877-017-0675-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Taylor D. Physical activity is medicine for older adults. Postgrad Med J. 2014;90(1059):26–32. doi: 10.1136/postgradmedj-2012-131366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Paulo TRS, Tribess S, Sasaki JE, et al. A cross-sectional study of the relationship of physical activity with depression and cognitive deficit in older adults. J Aging Phys Act. 2016;24(2):311–321. doi: 10.1123/japa.2014-0253. [DOI] [PubMed] [Google Scholar]
- 36.Vancampfort D, Stubbs B, Firth J, Van Damme T, Koyanagi A. Sedentary behavior and depressive symptoms among 67,077 adolescents aged 12-15 years from 30 low- and middle-income countries. Int J Behav Nutr Phys Act. 2018;15(1):73–73. doi: 10.1186/s12966-018-0708-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mammen G, Faulkner G. Physical activity and the prevention of depression: a systematic review of prospective studies. Am J Prev Med. 2013;45(5):649–657. doi: 10.1016/j.amepre.2013.08.001.. [DOI] [PubMed] [Google Scholar]
- 38.McDowell CP, Dishman RK, Hallgren M, MacDonncha C, Herring MP. Associations of physical activity and depression: Results from the Irish Longitudinal Study on Ageing. Exp Gerontol. 2018;112:68–75. doi: 10.1016/j.exger.2018.09.004. [DOI] [PubMed] [Google Scholar]
- 39.Rhyner KT, Watts A. Exercise and depressive symptoms in older adults: a systematic meta-analytic review. J Aging Phys Act. 2016;24(2):234–246. doi: 10.1123/japa.2015-0146. [DOI] [PubMed] [Google Scholar]
- 40.Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. Sleep Med. 2017;32(246-56) doi: 10.1016/j.sleep.2016.08.006. [DOI] [PubMed] [Google Scholar]
- 41.Jike M, Itani O, Watanabe N, Buysse DJ, Kaneita Y. Long sleep duration and health outcomes: a systematic review, meta-analysis and meta-regression. Sleep Med Rev. 2018;39:25–36. doi: 10.1016/j.smrv.2017.06.011. [DOI] [PubMed] [Google Scholar]
- 42.da Silva AA, de Mello RGB, Schaan CW, et al. Sleep duration and mortality in the elderly: a systematic review with meta-analysis. BMJ Open. 2016;6(2):e008119. doi: 10.1136/bmjopen-2015-008119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Zhai L, Zhang H, Zhang D. Sleep duration and depression among adults: a meta-analysis of prospective studies. Depress Anxiety. 2015;32(9):664–670. doi: 10.1002/da.22386. [DOI] [PubMed] [Google Scholar]
- 44.Buman MP, Winkler EAH, Kurka JM, et al. Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005-2006. Am J Epidemiol. 2014;179(3):323–334. doi: 10.1093/aje/kwt292. [DOI] [PubMed] [Google Scholar]
- 45.Bouwmans MEJ, Beltz AM, Bos EH, et al. The person-specific interplay of melatonin, affect, and fatigue in the context of sleep and depression. Pers Individ Dif. 2018;123:163–170. doi: 10.1016/j.paid.2017.11.022. [DOI] [Google Scholar]
- 46.Eckel RH, Depner CM, Perreault L, et al. Morning circadian misalignment during short sleep duration impacts insulin sensitivity. Curr Biol. 2015;25(22):3004–3010. doi: 10.1016/j.cub.2015.10.011. [DOI] [PubMed] [Google Scholar]
- 47.Li Y, Wu Y, Zhai L, et al. Longitudinal association of sleep duration with depressive symptoms among middle-aged and older Chinese. Sci Rep. 2017;7(1):11794–11794. doi: 10.1038/s41598-017-12182-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Shrestha N, Grgic J, Wiesner G, et al. Effectiveness of interventions for reducing non-occupational sedentary behaviour in adults and older adults: a systematic review and meta-analysis. Br J Sports Med. 2019;53(19):1206–1213. doi: 10.1136/bjsports-2017-098270. [DOI] [PubMed] [Google Scholar]
