scholarly journals Physical Activity, Health-Related Quality of Life, and Stress among the Chinese Adult Population during the COVID-19 Pandemic

Author(s):  
Meiling Qi ◽  
Ping Li ◽  
Wendy Moyle ◽  
Benjamin Weeks ◽  
Cindy Jones

The COVID-19 pandemic poses a threat to global public health due to home confinement policies impacting on physical activity engagement and overall health. This study aimed to explore physical activity participation, health-related quality of life (HRQoL), and levels of perceived stress among Chinese adults during the COVID-19 pandemic. An online survey was conducted between 25 February and 15 March 2020. A total of 645 surveys were completed. Participants reported increased sedentary time from pre-COVID-19 period to the COVID-19 pandemic period (p < 0.05). Over 80% of the sample engaged in either low or moderate intensity physical activity. Participants’ average physical component summary score (PCS) and mental component summary score (MCS) for HRQoL were 75.3 (SD = 16.6) and 66.6 (SD = 19.3), respectively. More than half of participants (53.0%) reported moderate levels of stress. Significant correlations between physical activity participation, HRQoL, and levels of perceived stress were observed (p < 0.05). Prolonged sitting time was also found to have a negative effect on HRQoL (p < 0.05). During such periods of home confinement, public health strategies aimed at educating Chinese adults to enhance home-based physical activity may be necessary to maintain health on a population level.

2020 ◽  
Author(s):  
Sarah Ann Buckingham ◽  
Karyn Morrissey ◽  
Andrew James Williams ◽  
Lisa Price ◽  
John Harrison

Abstract Background: Policing is a highly stressful and increasingly sedentary occupation. The study aim was to assess the acceptability and impact of a mobile health (mHealth) technology intervention (Fitbit® activity monitor and ‘Bupa Boost’ smartphone app) to promote physical activity (PA), reduce sedentary time, and improve health and wellbeing, perceived stress and perceived productivity in the police force.Methods: Single-group, pre-post, mixed methods pilot study. Police officers and staff (n=180) were recruited from two police forces in South West England. Participants used the technology for 12 weeks (an ‘individual’ then ‘social’ phase) followed by five months of optional use. Data sources included Fitbit®-recorded objective step count, questionnaire surveys and semi-structured interviews (n=32). Outcome assessment points were baseline (week 0), mid-intervention (week 6), post-intervention (week 12) and follow-up (month 8). Paired t-tests were used to investigate changes in quantitative outcomes. Qualitative analysis involved framework and thematic analysis.Results: Engagement with and perceived acceptability of the intervention was high overall, but a small number of participants reported negative physical (skin irritation) and psychological (feelings of guilt and anxiety) consequences of technology use. Changes in mean daily step count were non-significant (p>0.05), but self-reported PA increased in the short term (e.g. +465.4 MET-minutes/week total PA baseline to week 12, p=0.011) and longer term (e.g. +420.5 MET-minutes/week moderate-to-vigorous PA baseline to month 8, p=0.024). The greatest impact on behaviour was perceived by less active officers and staff. Individual app features (such as goal-setting and self-monitoring) were generally preferred to social components (social comparison, competitions and support). There were no significant changes in sedentary time; the findings highlighted the importance of context and external influences on behaviour. From baseline to month 8, there was a significant improvement in mental health-related quality of life (SF-12 mental component score +1.75 points, p=0.020). Despite interview-reported improvements in health and wellbeing, survey-assessed changes in physical health-related quality of life, perceived stress and perceived productivity were non-significant.Conclusions: mHealth technology is an acceptable and potentially impactful intervention for increasing PA in the police force. The intervention was less useful for reducing sedentary time and the impact on secondary outcomes is unclear.Trial registration: Registered with ClinicalTrials.gov on 30th May 2017 – retrospectively registered*. Registration number: NCT03169179, URL: https://clinicaltrials.gov/ct2/show/NCT03169179.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A201-A201
Author(s):  
Ragy Tadrous ◽  
Julie Broderick ◽  
Niamh Murphy ◽  
Lisa Slattery ◽  
Gillian Quinn ◽  
...  

Abstract Introduction Narcolepsy can significantly impact the physical and mental wellbeing of people with narcolepsy, and has been associated with significant reductions in quality of life and physical performance. People with narcolepsy demonstrate many barriers to being physically fit and active, such as sleepiness and social isolation. Despite physical functioning and vitality being the most affected domains of health-related quality of life in this cohort, little is known about how physical performance variables are affected in people with narcolepsy. Methods This cross-sectional study profiled the physical performance of adults with narcolepsy attending the Narcolepsy Centre located in St. James’s Hospital. Participants underwent a physical performance test battery that investigated cardiopulmonary fitness, physical activity, muscle strength and endurance. Furthermore, health-related quality of life (HRQoL), symptom severity and sedentary behaviour was ascertained through self-report questionnaires. Results A total of 23 participants were recruited in this study. The majority of participants were female (n=13, 56.52%) and the mean age was 31.53 (± 13.17) years. Physical performance was generally found to be lower than age-and-gender matched normative values for cardiopulmonary fitness, physical activity and muscle strength and endurance. Participants’ completed 42.20 ± 21.41 minutes of moderate-vigorous physical activity daily as measured by actigraphy. Considerable sedentary behaviour was objectively measured in this sample (10.21 hours). Symptom severity was high as measured by the Epworth Sleepiness Scale and the Narcolepsy Severity Scale, and participants reported reduced quality of life when compared to general population norms (US, UK, France and Norway). Conclusion Markedly reduced physical performance was identified in this sample of people with narcolepsy, irrespective of participant age, gender and BMI. Future research should explore the role of exercise in improving the physical fitness in people with narcolepsy, and the influence of exercise on HRQoL and symptom severity in this cohort. Support (if any) This study was completed as part of Mr Ragy Tadrous’ Master of Science (MSc) degree in Trinity College Dublin. This degree was co-sponsored by the Physiotherapy Department in St. James’s Hospital, Dublin.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047812
Author(s):  
Takuya Aoki ◽  
Shunichi Fukuhara ◽  
Yasuki Fujinuma ◽  
Yosuke Yamamoto

ObjectivesLongitudinal studies, which consider multimorbidity patterns, are useful for better clarifying the effect of multimorbidity on health-related quality of life (HRQoL) and for identifying the target population with poorer clinical outcomes among patients with multimorbidity. This study aimed to examine the effects of different multimorbidity patterns on the decline in HRQoL.DesignNationwide prospective cohort study.SettingJapanese adult residents.ParticipantsResidents aged ≥50 years selected by the quota sampling method.Primary outcome measureClinically relevant decline in HRQoL was defined as a 0.50 SD (5-point) decrease in the 36-Item Short Form Health Survey (SF-36) component summary scores for 1 year.ResultsIn total, 1211 participants completed the follow-up survey. Among the multimorbidity patterns identified using confirmatory factor analysis, multivariable logistic regression analyses revealed that high cardiovascular/renal/metabolic and malignant/digestive/urologic pattern scores were significantly associated with the clinically relevant decline in SF-36 physical component summary score (adjusted OR (aOR)=1.25, 95% CI: 1.08 to 1.44 and aOR=1.28, 95% CI: 1.04 to 1.58, respectively). High cardiovascular/renal/metabolic pattern score was also significantly associated with the clinically relevant decline in SF-36 role/social component summary score (aOR=1.23, 95% CI: 1.06 to 1.42).ConclusionsOur study revealed that multimorbidity patterns have different effects on the clinically relevant decline in HRQoL for 1 year. These findings can be useful in identifying populations at high risk and with poor clinical outcomes among patients with chronic diseases and multimorbidity for efficient resource allocation.


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