| Literature DB >> 35087633 |
Ana Paula Leão Maia Fonseca1, Carolina Virginia Macêdo de Azevedo2, Rute Marina Roberto Santos3,4.
Abstract
OBJECTIVES: The aim of this systematic review was to summarize the evidence on the associations between the sleep duration or sleep quality and cardiorespiratory and muscular fitness in children and adolescents aged 6-19 years.Entities:
Keywords: Adolescents; Children; Physical fitness; Sleep; Sleep duration; Sleep quality
Year: 2021 PMID: 35087633 PMCID: PMC8776269 DOI: 10.5935/1984-0063.20200125
Source DB: PubMed Journal: Sleep Sci ISSN: 1984-0063
Risk of Bias of the included studies.
| Q1 (Was eligibility criteria applied?) | Q2 (Were participants selected randomly?) | Q3(Did the participants represent a specific population? (that is, country or region) | Q4 (Is the sample size of the study larger than 100?) | Q5 Were the source and details of the variables used to evaluate sleep and physical ftness reported? | Q6 (Were the measurements used valid and reliable to adolescents or children?) | Score final | |
|---|---|---|---|---|---|---|---|
| Lee and Lin (2007)[ | 1 | 0 | 0 | 1 | 1 | 1 | 4 |
| Countryman et al. (2013)[ | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Thivel et al. (2015)[ | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Zaqout et al. (2016)[ | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Mota and Vale (2010)[ | 0 | 0 | 1 | 1 | 1 | 1 | 4 |
| García-Hermoso et al.
(2015)[ | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
Notes: Q = Question; Yes = 1; No or doubt = 0.
Figure 1Flow chart of studies selection process. * Reasons described in the exclusion criteria.
Summary of included studies.
| Author & date | Study Design | Sample size | Girls | Age | Location | Tools | Outcome measures | Absolute effect |
|---|---|---|---|---|---|---|---|---|
| Lee & Lin, 2007[ | Cross-sectional | 291 | 291 | 19.3 ± 0.6 yrs | Taiwan |
Digital Height-Weight measurement; Pittsburgh Sleep Quality Index (PSQI) Questionnaire; Sit and reach test, curl-up test and 800m run/walk test; |
BMI; Sleep quality evaluation (sleep quality, sleep onset latency, sleep duration, sleep efficiency, sleep disturbances); Physical fitness (cardiovascular endurance, body composition, muscular strength and endurance, fexibility) | Sleep duration was negatively correlated with 800m run/walk test (r=-0.34; p<0.05) and with the sit-andreach test (r=-0.24; p<0.05). Thus, there is a significant relationship between sleep duration and cardiovascular fitness and flexibility. Subjects with poor sleep quality (PSQI score >5) showed less sleep duration (t-test=9.57; p<0.05) and were more likely to have lower levels of muscular endurance (t-test =4.42; p<0.05), flexibility (t-test=-5.12; p<0.05), and cardiovascular fitness (t-test=7.27; p<0.05) than subjects with good sleep quality. |
| Countryman et al, 2013[ | Cohort (2000-2005) | 367 | 99 | 16.1 ± 0.7 yrs | EUA |
Mercury sphygmomanometer; Balance beam scale and height rod; Waist circumference; Blood collection; Self-report of sleep duration, quality and fatigue; Maximal treadmill test (modified Balke (walk–jog) exercise protocol); |
BMI, Blood pressure, Fasting Blood Measures (serum cholesterol, triglycerides, lipoproteins, glucose, insulin, fibrinogen, high-sensitivity CRP and IL-6); Sleep duration; Children’s Depression Inventory; Seven-Day Physical Activity Recall; Aerobic fitness (peak VO2); | The sleep may in part influence cardiometabolic outcomes through associations with fitness. Specifically, reduced sleep duration (7.7h ±1.2) and a composite score based on poor sleep quality and fatigue were associated with decreased cardiorespiratory fitness, which was in turn related to increased risk of metabolic syndrome and inflammation. The sleep latent variable was positively associated with aerobic fitness (coefficient=2.52, z=2.67, p=0.01). |
| Thivel et al, 2015[ | Cross-sectional | 236 | 224 | 7.5 ± 0.6 yrs | France |
Anthropometric parameters (stadiometer, Digital scale Seca model 873, waist circumference); BMI; Skinfold thickness (skinfold caliper); Children’s Eating Habits questionnaire; Self-report (parental factors); Cardiorespiratory fitness (20-m shuttle run test (20-MST); musculoskeletal (squat jump and cycling peak power) fitness (cycle ergometer; Plateform Ergo Jump PlusF Bosco System). |
Anthropometric Characteristics (Body weight, Height); Body composition (BMI, Index of adiposity); Eating habits; Sleep patterns (bedtime, wake-up time and sleep duration); Physical Fitness (cardiorespiratory and, Musculoskeletal Fitness, Squat jump - lower limb explosive strength); | Neither cardiorespiratory fitness level nor musculoskeletal fitness level were significantly different between late and normal sleepers and none of the physical fitness parameters was associated with sleep duration, bedtime and wake-up time (p>0.05 for all). |
| Zaqout et al, 2016[ | Follow up (2006-2012) | 4903 | 2481 | 8.7 ± 1.2 yr | Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain, Sweden |
TANITA scale and a portable stadiometer; Questionnaire from parental-reported bedtime and get-up time of children, separately for weekdays and weekends, self-report (parental factors); Proxy-reported KINDL for parents, Food Frequency Questionnaire. ALPHA health-related fitness test battery, Actigraph accelerometers Anthropometric measurement; |
Sleep duration and Parental factors; Psychosocial well-being, Dietary habits. Physical activity, Physical fitness (cardio-respiratory, muscular strength, flexibility, balance and speed) | There was no significant association between sleep duration and cardiorespiratory fitness, muscle strength, speed, flexibility and balance levels (p> 0.05 for all). |
| Mota & Vale, 2010[ | Cross-sectional | 886 | 886 | 15.4 ± 1.9 yrs | Portugal |
Electronic weight scale (portable digital beam scale; stadiometer); Quality of Sleeping Time (QST) status by responding to the question, ‘‘In general, how is your sleeping time?’’ Items are scored on a Likert scale with 1 ‘‘poor’’ to 5 ‘‘excellent.’’ Maximal multistage 20 m shuttle-run test according to procedures described from FITNESSGRAM; Shuttle Run Test. |
Anthropometric measures (height, weight); BMI; Quality of Sleeping Time (QST) CRF (cardiorespiratory fitness – aerobic capacity) | Statistically significant association was observed between the QST and CRF (Rho=0.17; p < 0.05). Poor sleep quality in adolescent girls was associated with lower CRF. Additionally, girls who were classified as fit were twice as much higher odd to report better sleep quality compared to their unfit peers. |
| García-Hermoso et al,
2015[ | Cross-sectional | 395 | 196 | 12.1 ± 0.7 yrs | Chile |
Digital scale and stadiometer; Self-report (Sleep self-report Spanish version; self-reported screen time, self-reported physical activity -Questionnaire for Adolescents (PAQ-A) and socioeconomic status); 20-m shuttle-run test (Alpha Battery ). |
BMI (Weight, Height, waist circumference); Sleep patterns (sleep quality, sleep-related anxiety, bedtime refusal, and sleep routines) CRF (cardiorespiratory fitness); PA (physical activity); Screen Time | In both sexes, sleep-related anxiety problems were correlated with CRF (boys, r=-0.202, p<0.05; girls, r=- 0.0064, p<0.05). However, sleep quality was correlated with CRF only in girls (r=-0.0065, p<0.05). A higher CRF level was associated with a lower likelihood of having sleep-related anxiety problem in girls (OR = 0.20, 95% CI, 0.01 to 0.53, p = 0.031). |