Abstract 219: Characterizing Covid-19 Pandemic Related Anxiety and Its Impact on Cardioprotective Health Behaviors Among Racially and Ethnically Diverse Cardiac Arrest Survivors

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Sachin Agarwal ◽  
Edmund Shen ◽  
Jeffrey L. Birk ◽  
Ari Shechter ◽  
Keith Diaz ◽  
...  

Introduction: Cardiac arrest (CA) patients’ fear of contracting Coronavirus disease 2019 (COVID-19) may limit their ability or willingness to perform cardio-protective health behaviors. We assessed the association of COVID-19 anxiety with physical activity (PA), sleep, and the likelihood of seeking medical care. Methods: Between May 15-28, 2020, a month after the NYC COVID-19 pandemic peak, CA survivors from a prospective cohort were invited to participate in a telephone-based assessment of the pandemic’s impact on psychological and behavioral dimensions. COVID-19 anxiety was assessed using the 7-item Perceived Coronavirus Threat Questionnaire (PCTQ; range 1-42). PA in 7 days both pre- and during COVID-19 was categorized into International Physical Activity Questionnaire-based low, moderate, or high activity levels. Self-reported poor sleep quality and hours of sleep per night in the previous month were assessed via the Pittsburgh Sleep Quality Index. Self-reported likelihood of delay in seeking care for non-COVID related conditions was assessed. Results: Of 100 approached, 75 CA survivors participated (53% male; age 61±15 years; 44% White, 20% Black, and 31% Latinx). The majority (84%) were COVID-19 tests and/or symptoms negative. The median COVID-19 anxiety score was 28 (interquartile range [IQR]: 21-37)- indicating substantial fear. Black and Latinx participants reported greater COVID-19 anxiety than White (33±6 vs 32±8 vs 23±10 respectively, p=0.03). Compared to pre-COVID, CA survivors had reduced their days per week engagement in any PA by an average of 2±3.6 days. COVID-19 anxiety was highest in those who were previously high PA and now were low PA (high-high:25±9, low-low:28±9, and high-low:32±4, ANOVA p=0.06). For every 1 SD increase in COVID-19 anxiety, participants reported 45 min less sleep per night (B= -0.05, p =.06) and poorer sleep quality (OR = 1.07, 95% CI [1.0, 1.1], p=0.017). Participants (48%) who said they were “moderately” to “extremely” likely to delay seeking care for non-COVID related conditions had greater levels of COVID-19 anxiety (32±9 vs 26±10, p=0.02) compared to other responses. Conclusions: COVID-19 anxiety is more frequent in Black and Latinx participants and is associated with poorer health behaviors.

2020 ◽  
pp. 1-20
Author(s):  
Heloísa Marquardt Leite ◽  
Anderson Garcez ◽  
Fernanda Bairros ◽  
Juvenal Soares Dias da Costa ◽  
Maria Teresa Anselmo Olinto

Abstract Objective: This study aimed to investigate the direct and indirect effects of poor sleep quality on body mass index (BMI) and waist circumference (WC), considering behavioral factors as intermediate variables. Design: A population-based cross-sectional study design was adopted. Data were collected between February and October 2015. Poor sleep quality was assessed using the Brazilian version of the Pittsburgh Sleep Quality Index (PSQI-BR). Weight, height (used to calculate BMI), and WC were measured using standard protocols. Physical activity, sedentary behavior, and fast food consumption were considered intermediate variables. Non-standardized effects were estimated by path analysis with bootstrapped confidence intervals (CIs). Setting: Urban region of the city of São Leopoldo, southern Brazil. Participants: Representative sample of 1,117 women aged between 20 and 69 years. Results: Poor sleep quality (higher PSQI-BR scores) was significantly associated with low physical activity levels (β = -0.05; 95%CI = -0.09 to -0.01). High physical activity levels were associated with lower BMI (β = -0.21; 95%CI = -0.37 to -0.07) and WC (β = -0.64; 95% CI = -1.00 to -0.30). There was a non-significant direct effect of poor sleep quality on BMI and WC. However, low physical activity showed a significant indirect effect on the association between poor sleep quality and increased WC (β = 0.03; 95%CI = 0.01 to 0.07). Conclusion: The results indicate that the association between sleep quality and WC is mediated by physical activity. This finding can assist in the development of strategies to prevent and reduce abdominal obesity in adult women.


2021 ◽  
Vol 13 (2) ◽  
pp. 446
Author(s):  
Anna Rutkowska ◽  
Katarzyna Kacperak ◽  
Sebastian Rutkowski ◽  
Luisa Cacciante ◽  
Pawel Kiper ◽  
...  

The lockdown with a prohibition of free mobility introduced in many countries has affected restrictions in physical activity (PA). The purpose of the study was to compare PA during restrictions and the “unfreezing” stage. The study group consisted of 89 healthy adult students. To assess the level of PA, a long version of the International Physical Activity Questionnaire (IPAQ) was used. The first evaluation was carried out in the period from 16 to 20 April 2020 at the time of the lockdown and the second in the period from 11 to 14 May 2020 during the so-called “unfreezing”. The average total PA rate during the first measurement was 8640 metabolic equivalent (MET)-min/week and in the second, 10,560 MET-min/week. The analysis of total energy expenditure showed a statistically significant difference (p < 0.029). The establishment of “unfreezing” laws for sport and recreation and the reduction of restrictions have significantly contributed to an increase in the overall level of PA. Based on our outcomes, we recommend students follow the scientific guidelines for undertaking PA (i.e., WHO) during the pandemic in order to maintain an appropriate pro-healthy dose of exercise.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork

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.


Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  

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.


2018 ◽  
Vol 34 (1) ◽  
pp. 7-13
Author(s):  
Tina Smith ◽  
Sue Reeves ◽  
Lewis G. Halsey ◽  
Jörg Huber ◽  
Jin Luo

The aim of the current study was to compare bone loading due to physical activity between lean, and overweight and obese individuals. Fifteen participants (lower BMI group: BMI < 25 kg/m2, n = 7; higher BMI group: 25 kg/m2 < BMI < 36.35 kg/m2, n = 8) wore a tri-axial accelerometer on 1 day to collect data for the calculation of bone loading. The International Physical Activity Questionnaire (short form) was used to measure time spent at different physical activity levels. Daily step counts were measured using a pedometer. Differences between groups were compared using independent t-tests. Accelerometer data revealed greater loading dose at the hip in lower BMI participants at a frequency band of 0.1–2 Hz (P = .039, Cohen’s d = 1.27) and 2–4 Hz (P = .044, d = 1.24). Lower BMI participants also had a significantly greater step count (P = .023, d = 1.55). This corroborated with loading intensity (d ≥ 0.93) and questionnaire (d = 0.79) effect sizes to indicate higher BMI participants tended to spend more time in very light activity, and less time in light and moderate activity. Overall, participants with a lower BMI exhibited greater bone loading due to physical activity; participants with a higher BMI may benefit from more light and moderate level activity to maintain bone health.


2021 ◽  
Vol 9 (2) ◽  
pp. 474-480
Author(s):  
Nimet Haşıl Korkmaz ◽  

The goal of this study is to investigate whether or not the attention level of middle school students’ changes depends on their physical activity. Fourty middle-school students who have been taking education in Yalova province joined the study as a volunteer. Fifty percent of the participants are male and the others are female. The experimental and the control groups have been formed and each of these groups consisted of 10 male and 10 female students. International physical activity questionnaire short form and Burdon concentration test were used as the information gathering instruments. To compare the experimental groups with the control groups, a T-test was used for independent groups. To compare one to another participant in each group, also T-test was used for dependent groups. Using the international physical activity questionnaire short form, preliminary and final tests were applied to each participant. According to the results of the questionnaire, weekly MET values of each participant were calculated. At the beginning of the study, the Burdon concentration test applied to each participant. Our study has finished in eight weeks. The physical activity levels of the control group were kept constant and no information was given. Twenty pieces of Xiaomi-mi-band-3 smart bracelets were supplied to the experimental group and they were informed about the features of these devices. At the end of 8 weeks period, the international physical activity questionnaire short form and Burdon concentration test were applied to each participant again. According to the physical activity levels of the control group, no significant difference has been found between the results of the Burdon concentration test (p > 0.05). But according to the physical activity levels of the experimental group, a significant difference has been found between the results of the Burdon concentration test (p < 0.05). As a result, it has been observed that an increase in levels of physical activity provides an increase in concentration. In conclusion, it is seen that many students and young people have low levels of physical activity due to both lifestyle and virtual world dependence. Although there are many factors, the decrease in physical activity causes low levels of attention. The better the attention levels of our students and young people, the more successful they will be in their lives. Our study and most of the mentioned studies reveal that attention is a developable skill and a situational factor that is open to influence. Therefore, attention development in children who are directed to recreational activities should be emphasized, especially during periods of rapid physical growth. If we want our students and young people to be more successful, they should be encouraged and supported more about physical activity.


2016 ◽  
Vol 8 (1) ◽  
pp. 131-136
Author(s):  
Alicja Kostencka ◽  
Anna Pastuszak ◽  
Krzysztof Buśko

SummaryStudy aim: The aim of the study was to determine the weekly energy expenditure measuring MET/min/week based on data collected through the Canada Fitness Survey (CFS), according to the classification used in the International Physical Activity Questionnaire (IPAQ), and to verify the adopted method to assess the level of physical activity in students of physical education. Material and methods: The study involved 116 female students (21.1 ± 1.6) and 276 male students (21.2 ± 1.7), studying Physical Education at Kazimierz Wielki University. Physical activity (PA) of respondents assessed using the Canada Fitness Survey was converted to energy expenditure in MET/min/week using the criteria established in the IPAQ. Body composition was assessed according to bioelectrical impedance. Results: A significantly smaller fat fraction was observed in the group of students with high physical activity (PA) (p < 0.01). In women, there was a significant relation between FAT% and all analysed characteristics of physical activity: total physical activity (TPA) – 0.274, vigorous intensity (VI) – 0.216, number of days spent on physical activity (DTPA) – 0.199 and number of days spent on vigorous intensity (DVI) – 0.202 (p < 0.05). In men, a significant relation was found between all the analysed tissue components and the adopted variables of PA (FAT% vs. TPA – 0.145, VI – 0.203, DTPA – 0.187; FATkg vs. TPA – 0.123, VI – 0.186, DTPA – 0.178; FATkg vs. DVI – 0.131). BMI significantly correlated with VI (–0.162) and DVI (–0.140), p < 0.05. Conclusions: Based on data collected using the CFS on the type and frequency of PA during a week, we can determine the level of activity in a measurable way, using the IPAQ classification. There is a significant relationship between thus determined physical activity levels and body composition in both women and men, which proves the accuracy of the adopted method of converting weekly energy expenditure to MET/min/week.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
X. Mayo ◽  
G. Liguori ◽  
E. Iglesias-Soler ◽  
R. J. Copeland ◽  
I. Clavel San Emeterio ◽  
...  

Abstract Background The World Health Organization (WHO) considers physical inactivity (PIA) as a critical noncommunicable factor for disease and mortality, affecting more women than men. In 2013, the WHO set a 10% reduction of the PIA prevalence, with the goal to be reached by 2025. Changes in the 2013–2017 period of physical inactivity prevalence in the 28 European Union (EU) countries were evaluated to track the progress in achieving WHO 2025 target. Methods In 2013 and 2017 EU Special Eurobarometers, the physical activity levels reported by the International Physical Activity Questionnaire of 53,607 adults were analyzed. Data were considered as a whole sample and country-by-country. A χ2 test was used to analyze the physical inactivity prevalence (%) between countries, analyzing women and men together and separately. Additionally, PIA prevalence was analyzed between years (2013–2017) for the overall EU sample and within-country using a Z-Score for two population proportions. Results The PIA prevalence increased between 2013 and 2017 for the overall EU sample (p <  0.001), and for women (p = 0.04) and men (p < 0.001) separately. Data showed a higher PIA prevalence in women versus men during both years (p <  0.001). When separately considering changes in PIA by gender, only Belgium’s women and Luxembourg’s men showed a reduction in PIA prevalence. Increases in PIA prevalence over time were observed in women from Austria, Croatia, Germany, Lithuania, Malta, Portugal, Romania, and Slovakia and in men from Bulgaria, Croatia, Czechia, Germany, Italy, Lithuania, Portugal, Romania, Slovakia, and Spain. Conclusions PIA prevalence showed an overall increase across the EU and for both women and men between 2013 and 2017, with higher rates of PIA reported for women versus men during both years. PIA prevalence was reduced in only Belgium’s women and Luxembourg’s men. Our data indicate a limited gender-sensible approach while tacking PIA prevalence with no progress reaching global voluntary reductions of PIA for 2025.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kenth Louis Joseph ◽  
Hanne Dagfinrud ◽  
Anne Christie ◽  
Kåre Birger Hagen ◽  
Anne Therese Tveter

Abstract Background To tailor physical activity treatment programs for patients with osteoarthritis, clinicians need valid and feasible measurement tools to evaluate habitual physical activity. The widely used International Physical Activity Questionnaire-Short Form (IPAQ-SF) is not previously validated in patients with osteoarthritis. Purpose To assess the concurrent criterion validity of the IPAQ-SF in patients with osteoarthritis, using an accelerometer as a criterion-method. Method Patients with osteoarthritis (n = 115) were recruited at The Division of Rheumatology and Research at Diakonhjemmet Hospital (Oslo, Norway). Physical activity was measured by patients wearing an accelerometer (ActiGraph wGT3X-BT) for seven consecutive days, followed by reporting their physical activity for the past 7 days using the IPAQ-SF. Comparison of proportions that fulfilled physical activity recommendations as measured by the two methods were tested by Pearson Chi-Square analysis. Differences in physical activity levels between the IPAQ-SF and the accelerometer were analyzed with Wilcoxon Signed-Rank Test and Spearman rank correlation test. Bland-Altman plots were used to visualize the concurrent criterion validity for total- and intensity-specific physical activity levels. Results In total, 93 patients provided complete physical activity data, mean (SD) age was 65 (8.7) years, 87% were women. According to the IPAQ-SF, 57% of the patients fulfilled the minimum physical activity recommendations compared to 31% according to the accelerometer (p = 0.043). When comparing the IPAQ-SF to the accelerometer we found significant under-reporting of total physical activity MET-minutes (p = < 0.001), sitting (p = < 0.001) and walking (p < 0.001), and significant over-reporting of moderate-to-vigorous physical activity (p < 0.001). For the different physical activity levels, correlations between the IPAQ-SF and the accelerometer ranged from rho 0.106 to 0.462. The Bland-Altman plots indicated an increased divergence between the two methods with increasing time spent on moderate-to-vigorous intensity physical activity. Conclusion Physical activity is a core treatment of osteoarthritis. Our finding that patients tend to over-report activity of higher intensity and under-report low-intensity activity and sitting-time is of clinical importance. We conclude that the concurrent criterion validity of the IPAQ-SF was weak in patients with osteoarthritis.


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