scholarly journals Sleep Quality and Recommended Levels of Physical Activity in Older People

2016 ◽  
Vol 24 (2) ◽  
pp. 201-206 ◽  
Author(s):  
Iuliana Hartescu ◽  
Kevin Morgan ◽  
Clare D. Stevinson
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older People ◽  
Sleep Onset ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Sleep Maintenance ◽  
Level Of Activity ◽  
Lower Likelihood

A minimum level of activity likely to improve sleep outcomes among older people has not previously been explored. In a representative UK sample aged 65+ (n = 926), cross-sectional regressions controlling for appropriate confounders showed that walking at or above the internationally recommended threshold of ≥ 150 min per week was significantly associated with a lower likelihood of reporting insomnia symptoms (OR = 0.67, 95% CI = 0.45−0.91, p < .05). At a 4-year follow-up (n = 577), higher walking levels at baseline significantly predicted a lower likelihood of reporting sleep onset (OR = 0.64, 95% CI = 0.42−0.97, p < .05) or sleep maintenance (OR = 0.63, 95% CI = 0.41−0.95, p < .05) problems. These results are consistent with the conclusion that current physical activity guidelines can support sleep quality in older adults.

Effect of exercise on sleep and bi-directional associations with accelerometer-assessed physical activity in men with obesity

2020 ◽  
Author(s):  
Tatiana Plekhanova ◽  
Alex V. Rowlands ◽  
Melanie Davies ◽  
Charlotte L. Edwardson ◽  
Andrew Hall ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Aerobic Exercise ◽  
Sleep Duration ◽  
Exercise Intervention ◽  
Vigorous Physical Activity ◽  
Sleep Onset ◽  
Onset Time ◽  
Post Intervention

This study examined the effect of exercise training on sleep duration and quality and bidirectional day-to-day relationships between physical activity (PA) and sleep. Fourteen inactive men with obesity (49.2±7.9 years, BMI 34.9±2.8 kg/m²) completed a baseline visit, eight-week aerobic exercise intervention, and one-month post-intervention follow-up. PA and sleep were assessed continuously throughout the study duration using wrist-worn accelerometry. Generalised estimating equations (GEE) were used to examine associations between PA and sleep. Sleep duration increased from 5.2h at baseline to 6.6h during the intervention period and 6.5h at one-month post-intervention follow-up (p<0.001). Bi-directional associations showed that higher overall activity volume and moderate-to-vigorous physical activity (MVPA) were associated with earlier sleep onset time (p<0.05). Later timing of sleep onset was associated with lower overall volume of activity, most active continuous 30 minutes (M30CONT), and MVPA (p<0.05). Higher overall activity volume, M30CONT, and MVPA predicted more wake after sleep onset (WASO) (p<0.001), whereas greater WASO was associated with higher overall volume of activity, M30CONT, and MVPA (p<0.001). An aerobic exercise intervention increased usual sleep duration. Day-to-day, more PA predicted earlier sleep onset, but worse sleep quality and vice versa. Novelty: • Greater levels of physical activity in the day were associated with an earlier sleep onset time that night, whereas a later timing of sleep onset was associated with lower physical activity the next day in men with obesity • Higher physical activity levels were associated with worse sleep quality, and vice versa

Effects of sedentary behavior and physical activity on sleep quality in older people: A cross‐sectional study

2019 ◽  
Vol 22 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Jaehoon Seol ◽  
Takumi Abe ◽  
Yuya Fujii ◽  
Kaya Joho ◽  
Tomohiro Okura
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older People ◽  
Sedentary Behavior ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Change in Physical Activity, Sleep Quality, and Psychosocial Variables during COVID-19 Lockdown: Evidence from the Lothian Birth Cohort 1936

2020 ◽  
Vol 18 (1) ◽  
pp. 210
Author(s):  
Judith A. Okely ◽  
Janie Corley ◽  
Miles Welstead ◽  
Adele M. Taylor ◽  
Danielle Page ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Sleep Quality ◽  
Older People ◽  
Birth Cohort ◽  
Mental Wellbeing ◽  
Psychosocial Variables ◽  
Cross Sectional ◽  
Lothian Birth Cohort ◽  
History Of

(1) Objectives: The COVID-19 pandemic has disproportionately affected the lives of older people. In this study, we examine changes in physical activity, sleep quality, and psychosocial variables among older people during COVID-19 lockdown. We build on cross-sectional studies on this topic by assessing change longitudinally. We also examined whether participant characteristics including demographic, cognitive, personality, and health variables were related to more positive or negative changes during lockdown. (2) Methods: 137 older participants (mean age 84 years) from the Lothian Birth Cohort 1936 study were included in the analysis. They completed the same questionnaires assessing physical activity, sleep quality, mental wellbeing, social support, loneliness, neighbourhood cohesion, and memory problems before (mostly 2 years earlier) and again during national lockdown. (3) Results: On average, levels of physical activity were reduced (those doing minimal physical activity increased from 10% to 19%) and perceived social support increased during lockdown (effect size drm = 0.178). More positive change in the psychosocial and behavioural outcome variables during lockdown was associated with personality traits (greater intellect, emotional stability, and extraversion) and having a higher general cognitive ability. Participants with a history of cardiovascular disease, more symptoms of anxiety, or who lived alone were more likely to experience negative changes in the outcome variables during lockdown. (4) Discussion: These results provide further insight into the experiences of older people during the COVID-19 pandemic and could help to identify those at greatest risk of negative psychosocial or behavioural changes during this time.

scholarly journals THU0457 LONGITUDINAL ASSOCIATION OF SEDENTARY TIME AND PHYSICAL ACTIVITY WITH SLEEP QUALITY IN WOMEN WITH FIBROMYALGIA: THE AL-ÁNDALUS PROJECT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 465.2-466
Author(s):  
M. Borges Cosic ◽  
P. Acosta-Manzano ◽  
B. Gavilán Carrera ◽  
F. Estévez-López ◽  
V. A. Aparicio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Sedentary Time ◽  
Statistical Significance ◽  
Behavioural Therapy ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Over Time

Background:Sleep disturbances are common in fibromyalgia, and influences quality of life. Recent literature has suggested that non-pharmacological treatments (e.g., physical exercise and cognitive behavioural therapy) may help to improve sleep quality (SQ) and the management of fibromyalgia1. In this regard, sedentary time (ST) and physical activity (PA) intensity levels could play a role on SQ in this population2. However, evidence is scarce and mainly based on cross-sectional data.Objectives:This study aimed to examine the longitudinal associations (2- and 5-year follow-up) of ST and PA intensity levels with SQ in women with fibromyalgia.Methods:In this prospective cohort study, women diagnosed with fibromyalgia (age: 51.4±7.6 years) with completed data were included at baseline (n=409), at 2-year follow-up (n=214) and at 5-year follow-up (n=218). Sedentary time and PA intensity levels (light and moderate-to-vigorous [MVPA]) were assessed using triaxial accelerometers worn for consecutive 7 days. The percentage of time spent in different behaviours was calculated (e.g., (ST/accelerometer wear time) × 100). The SQ global score was calculated as a sum of all components (score ranges from 0 to 21 where higher values indicate worse SQ) of the Pittsburgh Sleep Quality Index. Linear regressions were performed to analyse the association of changes in ST and PA over time (predictor variables) with SQ at 2- and 5-years follow-up (dependent variables) while considering baseline SQ, age, fat percentage, marital status, educational level, sleep or relaxation medication, and regular menstruation as confounders.Results:Overall, after adjusting for confounders, non-statistical significant associations were found between changes in ST and PA intensity levels from baseline to 2-years follow-up with SQ at 2-year follow-up (P>0.05); except for the change in MVPA from baseline to 2-years follow-up, which showed evidence of statistical significance (B=-0.207;P=0.059). Regarding the 5-year follow-up, we did not observe either any association between changes in ST or PA intensity levels from baseline to 5-year follow-up with SQ at 5-year follow-up (P>0.05).Conclusion:The main findings suggest that neither ST nor PA intensity levels over time predict SQ at 2- and 5-year follow-up in women with fibromyalgia. Future PA-counselling randomised controlled trials might shed more light on the role that ST and PA could play on SQ.References:[1]Macfarlane GJ, et al.Ann Rheum Dis,2017; 76(2):318–328.[2]Borges-Cosic M, et al.Scand J Med Sci Sports2019; 29:266–274.Acknowledgments:This study was supported by the Spanish Ministry of Economy and Competitiveness (I+D+i DEP2010-15639; I+D+I DEP2013-40908-R) and the Spanish Ministry of Education, Culture and Sport (FPU15/00002).Disclosure of Interests: :None declared

scholarly journals POS0733 REAL-LIFE PHYSICAL ACTIVITY IN SLE PATIENTS: ASSOCIATIONS WITH FATIGUE AND QUALITY OF SLEEP

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 617.1-617
Author(s):  
H. Wohland ◽  
N. Leuchten ◽  
M. Aringer
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Real Life ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Fatigue Score ◽  
The Mean

Background:Fatigue is among the top complaints of patients with systemic lupus erythematosus (SLE), but only in part associated with SLE disease activity. Physical activity can help to reduce fatigue and should therefore be recommended to SLE patients. Vice versa, fatigue may arguably lead to reduced physical activity.Objectives:To investigate the extent of physical activity and the perception of fatigue and sleep quality in patients with SLE.Methods:Starting in February 2019, SLE patients were invited to participate in a cross-sectional survey study of fatigue and physical exercise during their routine outpatient clinic visits. Participants filled out a ten-page paper questionnaire focused on physical activity. To evaluate fatigue, we primarily used a 10 cm visual analogue scale (0-100 mm, with 100 meaning most fatigued), but also the FACIT fatigue score (range 0-52). Sleep quality was estimated using grades from 1 (excellent) to 6 (extremely poor).Results:93 SLE patients took part in the study. All patients fulfilled the European League Against Rheumatism/ American College of Rheumatology (EULAR/ACR) 2019 classification criteria for SLE. 91% of the patients were female. Their mean (SD) age was 45.5 (14.3) years and their mean disease duration 12.1 (9.4) years. The mean BMI was 25.2 (5.6). Of all patients, 7.5% had a diagnosis of (secondary) fibromyalgia. The mean fatigue VAS was 32 (27) mm and the mean FACIT fatigue score 35.7 (10.3). As expected, fatigue by VAS and FACIT was correlated (Spearman r=-0.61, p<0.0001). The mean SLEDAI was 1 (1) with a range of 0 to 6. Median glucocorticoid doses were 2 mg prednisolone equivalent, with a range from 0 to 10 mg.Out of 66 patients in payed jobs, 64 (97%) reported details on their working space. One person (2%) worked in a predominanty standing position, 37 (58%) worked in essentially sedentary jobs and 26 (40%) were in positions where they were mildly physically active in part. The mean fatigue VAS was 31 (24) mm for patients with partly active jobs and 27 (30) mm for those in sedentary jobs. Sleep was graded 2.9 (0.9) by those with active and 3.1 (1.3) by those with sedentary jobs.Half of the patients (51%) reported more than one physical recreational activity. 44 (47%) were walking and for five persons (5%) this was the only form of activity. Cycling was reported by 19 patients (20%), 18 of whom also practiced other activities. For transport, 52 (56%) in part chose active modes, such as walking and cycling. Patients who reported any of the above activities showed a mean fatigue VAS of 28 (25) mm, compared to 36 (28) mm in the patient group without a reported activity. Sleep quality was very similar: 3.1 (1.2) and 3.2 (1.1) for more active and more passive patients, respectively.65 (70%) patients regularly practiced sports. Of these, 39 (60%) practiced one kind of sport, 15 (23%) two, 7 (11%) three, and 2 (3%) each four and five kinds of sports. Fatigue VAS of patients practicing sports was 27 (25) mm versus 43 (28) in those who did not (p=0.0075). Sleep quality was 2.9 (1.1) in the sports cohort and 3.5 (1.1) in the no-sports cohort (p=0.0244).Conclusion:A majority of SLE patients in remission or low to moderate disease activity regularly practiced sports, and those doing so reported lesser fatigue and better sleep quality. The absolute values on the fatigue VAS were in a moderate range that made fatigue as the main cause of not performing sports rather unlikely for most patients.Disclosure of Interests:Helena Wohland: None declared, Nicolai Leuchten Speakers bureau: AbbVie, Janssen, Novartis, Roche, UCB, Consultant of: AbbVie, Janssen, Novartis, Roche, Martin Aringer Speakers bureau: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, Chugai, Gilead, GSK, HEXAL, Lilly, MSD, Novartis, Pfizer, Roche, Sanofi, UCB, Consultant of: AbbVie, Astra Zeneca, BMS, Boehringer Ingelheim, GSK, Lilly, MSD, Roche, Sanofi, UCB

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

A Longitudinal Study of Objectively Measured Built Environment as Determinant of Physical Activity in Young Adults: The European Youth Heart Study

2015 ◽  
Vol 12 (7) ◽  
pp. 909-914 ◽  
Author(s):  
Jasper Schipperijn ◽  
Mathias Ried-Larsen ◽  
Merete S. Nielsen ◽  
Anneli F. Holdt ◽  
Anders Grøntved ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Longitudinal Study ◽  
Built Environment ◽  
Cross Sectional ◽  
Environmental Indices ◽  
Domain Specific ◽  
Objectively Measured ◽  
European Youth

Background:This longitudinal study aimed to examine if a Movability Index (MI), based on objectively measured built environment characteristics, was a determinant for objectively measured physical activity (PA) among young adults.Methods:Data collected from 177 persons participating in the Danish part of the European Youth Hearth Study (EYHS) was used to examine the effect of the built environment on PA. A MI was developed using objectively measured built environment characteristics, and included residential density, recreational facilities, daily destinations and street connectivity.Results:Results showed a positive cross-sectional association between MI and PA. PA decreased from baseline to follow-up. MI increased, primarily due to participants relocating to larger cities. An increase in MI from baseline to follow-up was associated with a reduced decrease in PA for females.Conclusions:Our findings suggest that the built environment is a determinant for PA, especially for females. The found gender differences might suggest the need to develop gender specific environmental indices in future studies. The validity of the measures can be further improved by creating domain specific PA measures as well as domain specific environmental indices and this can potentially reveal more specific built environment determinants for PA.

Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Activity Levels ◽  
Cross Sectional ◽  
Good Nutrition ◽  
University Population

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.

Impact of the implantable cardioverter defibrillator on confidence to undertake physical activity in inherited heart disease: A cross-sectional study

2017 ◽  
Vol 16 (8) ◽  
pp. 742-752 ◽  
Author(s):  
Joanna Sweeting ◽  
Kylie Ball ◽  
Julie McGaughran ◽  
John Atherton ◽  
Christopher Semsarian ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Disease ◽  
Implantable Cardioverter Defibrillator ◽  
Vigorous Physical Activity ◽  
Survey Study ◽  
Accelerometer Data ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Cardioverter Defibrillator ◽  
The Impact

Background: Physical activity is associated with improved quality of life. Patients with an implantable cardioverter defibrillator (ICD) face unique clinical and psychological challenges. Factors such as fear of ICD shock may negatively impact on physical activity, while a sense of protection gained from the ICD may instil confidence to be active. Aim: We aimed to examine the impact of an ICD on physical activity levels and factors associated with amount of activity. Methods: Two cross-sectional studies were conducted. Accelerometer data (seven-day) was collected in March–November 2015 for 63 consecutively recruited hypertrophic cardiomyopathy patients, with or without an ICD, aged ⩾18 years. A survey study was conducted in July–August 2016 of 155 individuals aged ⩾18 years with an inherited heart disease and an ICD in situ. Results: Based on the International Physical Activity Questionnaire, mean leisure time physical activity was 239 ± 300 min/week with 51% meeting physical activity guidelines. Accelerometry showed that mean moderate–vigorous physical activity was the same for patients with and without an ICD (254 ± 139 min/week versus 300 ± 150 min/week, p=0.23). Nearly half of survey participants ( n=73) said their device made them more confident to exercise. Being anxious about ICD shocks was the only factor associated with not meeting physical activity guidelines. Conclusions: Patients with inherited heart disease adjust differently to their ICD device, and for many it has no impact on physical activity. Discussion regarding the appropriate level of physical activity and potential barriers will ensure best possible outcomes in this unique patient group.

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