scholarly journals Physical activity and Retirement: Original analysis of responses to the English Adult Active Lives Survey 2016/17

2020 ◽  
Author(s):  
Julii Brainard ◽  
Rachel Cooke ◽  
Kathleen Lane ◽  
Charlotte Salter
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Active Travel ◽  
Full Time ◽  
Binomial Regression ◽  
Original Analysis ◽  
Part Time ◽  
Time Part

AbstractObjectivesOpportunities for older adults to do physical activity may depend on other commitments. To see if reported physical activity was higher or lower among older adults depending on work status: full time, part-time or retired.MethodsThe Active Lives Survey 2016/17 in England was used to see how active people were depending on employment or retirement status. Types of physical activity (PA) considered were: leisure, gardening, active travel and combined total, adjusted for age, sex, BMI, disability, rurality and deprivation in models using hurdle negative binomial regression.ResultsTotal PA was significantly greater for retired persons compared to both full- and part-time workers age 55-64, while being retired or working part-time at age 65-74 meant more PA. People did more leisure or gardening with less work, but active travel decreased with fewer work hours, at all ages. Retirement meant more leisure and gardening PA but less active travel.ConclusionsDemand for opportunities to engage in leisure and gardening PA appears to be high among retired people. Greater promotion of active travel in this cohort may be possible.

scholarly journals School Parks as a Community Health Resource: Use of Joint-Use Parks by Children before and during COVID-19 Pandemic

2021 ◽  
Vol 18 (17) ◽  
pp. 9237
Author(s):  
Kevin Lanza ◽  
Casey Durand ◽  
Melody Alcazar ◽  
Sierra Ehlers ◽  
Kai Zhang ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Resource Use ◽  
Social Distance ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Health Resource ◽  
Physical And Mental Health ◽  
Binomial Regression ◽  
The Impact

Parks are settings for physical activity that can support the physical and mental health of children during the COVID-19 pandemic. We determined the impact of the pandemic on the use of joint-use parks outside of school hours by children in Austin, TX, United States. In autumn of 2019 and autumn of 2020 (i.e., before and during the COVID-19 pandemic), we used an adapted version of the System for Observing Play and Recreation in Communities to observe whether children aged 1–12 participated in physical activity (i.e., sedentary, light and moderate, vigorous) at three parks located at schools serving mostly economically disadvantaged Latinx families. In 2020, we also observed whether children maintained social distance and wore face coverings. Results of negative binomial regression modeling revealed the pandemic was associated with a 46% [95% CI: 20–63%] and 62% [95% CI: 39–76%] decrease in the number of girls and boys at parks, respectively, and a 42% [95% CI: 16–59%] and 60% [95% CI: 36–75%] decrease in the number of girls and boys engaging in physical activity, respectively (p < 0.01). In total, 60.6% of girls and 73.6% of boys were not social distancing, and 91.8% of the time no children wore masks. Interventions should be considered to safely reintroduce children to parks for health benefits during pandemics.

scholarly journals Loneliness, physical activity and mental health during Covid-19: a longitudinal analysis of depression and anxiety between 2015 and 2020

2020 ◽  
Author(s):  
Byron Creese ◽  
Zunera Khan ◽  
William Henley ◽  
Siobhan O’Dwyer ◽  
Anne Corbett ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Risk Factors ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Annual Data ◽  
Activity Levels ◽  
Binomial Regression ◽  
Mental Health Questionnaire ◽  
The Impact

BackgroundLoneliness and physical activity are important targets for research into the impact of COVID-19 because they have established links with mental health, could be exacerbated by social distancing policies and are potentially modifiable.MethodWe analysed mental health data collected during COVID-19 from adults aged 50 and over alongside comparable annual data collected between 2015 and 2019 from the same sample. Trajectories of depression (PHQ-9) and anxiety (GAD-7) were analysed with respect to loneliness, physical activity levels and a number of socioeconomic and demographic characteristics using zero-inflated negative binomial regression.Results3,281 people completed the COVID-19 mental health questionnaire, all had at least one data point prior to 2020. In 2020, the adjusted PHQ-9 score for loneliness was 3.2. (95% CI: 3.0-3.4), an increase of one point on previous years and 2 points higher than people not rated lonely, whose score did not change in 2020 (1.2, 95% CI: 1.1-1.3). PHQ-9 was 2.6 (95% CI: 2.4-2.8) in people with decreased physical activity, an increase of 0.5 on previous years. In contrast, PHQ-9 in 2020 for people whose physical activity had not decreased was 1.7 (95% CI: 1.6-1.8), similar to previous years. A similar relationship was observed for GAD-7 though the differences were smaller and the absolute burden of symptoms lower.ConclusionsAfter accounting for pre-COVID-19 trends, we show that experiencing loneliness and decreased physical activity are risk factors for worsening mental health during the pandemic. Our findings highlight the need to examine policies which target these potentially modifiable risk factors.

Abstract P330: Chronic Kidney Disease is Associated With Short-Term Risk of Hospitalization Among Older Adults

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Eugenia Wong ◽  
Shoshana H Ballew ◽  
Natalie Daya ◽  
Junichi Ishigami ◽  
Casey M Rebholz ◽  
...  
Keyword(s):  
Older Adults ◽  
Chronic Kidney Disease ◽  
African American ◽  
Kidney Disease ◽  
Incidence Rate ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Serum Cystatin C ◽  
Binomial Regression ◽  
Rate Ratios

Background: Chronic kidney disease (CKD) is now staged by estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR). Risks of cardiovascular disease, dialysis, and mortality are well described, but risks of hospitalization at older age have not been explored to the same depths. Hypothesis: CKD stages will be associated with risk of all-cause hospitalizations. Methods: The analysis was conducted on 5669 white and African-American participants of the ARIC Visit 5 (2011-2013) cohort (mean age, 76 y; female, 57%; African-American, 23%). CKD was staged according to KDIGO 2012 criteria with eGFR from serum cystatin C (eGFRcys) and ACR. The primary outcome of all-cause hospitalization risk was analyzed by using negative binomial regression to estimate incidence rate ratios (IRR), adjusted for demographics, behaviors, and comorbidities. Results: Over a median follow-up period of 3.5 years (by December 31 st , 2015), 6124 hospitalizations occurred over 19788 person-years (Crude Incidence Rate, 309 per 1000 person-years). Risk of hospitalization increased markedly with lower eGFRcys and higher albuminuria ( Table 1 ). Other baseline comorbidities were also associated with hospitalization risk (IRR [95% CI] for heart failure, coronary heart disease (CHD), stroke, cancer were 1.7 [1.4-2.0], 1.5 [1.3-1.7], 1.3 [1.1-1.6], and 1.2 [0.9-1.5]). Conclusions: Among older adults, both low eGFR and high ACR are strongly related to risk of hospitalization. These findings provide insight for risk stratification and prevention of CKD at older ages. Table 1. Risk of hospitalization by CKD stages defined by eGFR and ACR

Age-Friendly Environments, Active Lives? Associations Between the Local Physical and Social Environment and Physical Activity Among Adults Aged 55 and Older in Ireland

2020 ◽  
Vol 28 (1) ◽  
pp. 140-148
Author(s):  
Mark Ward ◽  
Sarah Gibney ◽  
David O’Callaghan ◽  
Sinead Shannon
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Social Connectedness ◽  
Negative Binomial ◽  
Short Form ◽  
Negative Binomial Regression ◽  
Population Data ◽  
Local Environment ◽  
Activity Levels ◽  
Behavior Change Interventions

Despite the benefits, one in three older adults in Ireland has low activity levels. This study examined associations between the local social and built environment and physical activity of older adults to identify age-friendly factors that support physical activity among the aging population. Data were from the population-representative Healthy and Positive Ageing Initiative Age-Friendly City and Counties Survey (N = 10,540). Physical activity was measured using a short-form of the International Physical Activity Questionnaire. Mixed-effects negative binomial regression models were adjusted for known health and sociodemographic correlates of physical activity. Results are reported as unstandardized beta coefficients (β) with standard errors. Loneliness, community participation, and difficulty in accessing green spaces partially explained the differences in the number of minutes that respondents were physically active. Combined with individual-level behavior change interventions, improvements to the local environment and promoting social connectedness may also be useful in promoting physical activity among older adults.

scholarly journals Is area deprivation associated with greater impacts of COVID-19 in care homes across England? A preliminary analysis of COVID-19 outbreaks and deaths

2021 ◽  
pp. jech-2020-215039 ◽  
Author(s):  
Anders Malthe Bach-Mortensen ◽  
Michelle Degli Esposti
Keyword(s):  
Negative Binomial ◽  
Care Home ◽  
Negative Binomial Regression ◽  
Population Characteristics ◽  
Care Homes ◽  
Future Research ◽  
Area Deprivation ◽  
Binomial Regression ◽  
Index Of Multiple Deprivation

IntroductionThe COVID-19 pandemic has disproportionately impacted care homes and vulnerable populations, exacerbating existing health inequalities. However, the role of area deprivation in shaping the impacts of COVID-19 in care homes is poorly understood. We examine whether area deprivation is linked to higher rates of COVID-19 outbreaks and deaths among care home residents across upper tier local authorities in England (n=149).MethodsWe constructed a novel dataset from publicly available data. Using negative binomial regression models, we analysed the associations between area deprivation (Income Deprivation Affecting Older People Index (IDAOPI) and Index of Multiple Deprivation (IMD) extent) as the exposure and COVID-19 outbreaks, COVID-19-related deaths and all-cause deaths among care home residents as three separate outcomes—adjusting for population characteristics (size, age composition, ethnicity).ResultsCOVID-19 outbreaks in care homes did not vary by area deprivation. However, COVID-19-related deaths were more common in the most deprived quartiles of IDAOPI (incidence rate ratio (IRR): 1.23, 95% CI 1.04 to 1.47) and IMD extent (IRR: 1.16, 95% CI 1.00 to 1.34), compared with the least deprived quartiles.DiscussionThese findings suggest that area deprivation is a key risk factor in COVID-19 deaths among care home residents. Future research should look to replicate these results when more complete data become available.

scholarly journals Association between fatality rate of COVID-19 and selenium deficiency in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hai-Yang Zhang ◽  
An-Ran Zhang ◽  
Qing-Bin Lu ◽  
Xiao-Ai Zhang ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Negative Binomial ◽  
Viral Infections ◽  
Case Fatality ◽  
Selenium Deficiency ◽  
Negative Binomial Regression ◽  
Negative Binomial Regression Model ◽  
Fatality Rate ◽  
Selenium Content ◽  
Individual Level ◽  
Binomial Regression

Abstract Background COVID-19 has impacted populations around the world, with the fatality rate varying dramatically across countries. Selenium, as one of the important micronutrients implicated in viral infections, was suggested to play roles. Methods An ecological study was performed to assess the association between the COVID-19 related fatality and the selenium content both from crops and topsoil, in China. Results Totally, 14,045 COVID-19 cases were reported from 147 cities during 8 December 2019–13 December 2020 were included. Based on selenium content in crops, the case fatality rates (CFRs) gradually increased from 1.17% in non-selenium-deficient areas, to 1.28% in moderate-selenium-deficient areas, and further to 3.16% in severe-selenium-deficient areas (P = 0.002). Based on selenium content in topsoil, the CFRs gradually increased from 0.76% in non-selenium-deficient areas, to 1.70% in moderate-selenium-deficient areas, and further to 1.85% in severe-selenium-deficient areas (P < 0.001). The zero-inflated negative binomial regression model showed a significantly higher fatality risk in cities with severe-selenium-deficient selenium content in crops than non-selenium-deficient cities, with incidence rate ratio (IRR) of 3.88 (95% CIs: 1.21–12.52), which was further confirmed by regression fitting the association between CFR of COVID-19 and selenium content in topsoil, with the IRR of 2.38 (95% CIs: 1.14–4.98) for moderate-selenium-deficient cities and 3.06 (1.49–6.27) for severe-selenium-deficient cities. Conclusions Regional selenium deficiency might be related to an increased CFR of COVID-19. Future studies are needed to explore the associations between selenium status and disease outcome at individual-level.

scholarly journals Statistical models for analyzing count data: predictors of length of stay among HIV patients in Portugal using a multilevel model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ahmed Nabil Shaaban ◽  
Bárbara Peleteiro ◽  
Maria Rosario O. Martins
Keyword(s):  
Length Of Stay ◽  
Regression Model ◽  
Random Effects ◽  
Count Data ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Comprehensive Approach ◽  
Negative Binomial Regression Model ◽  
Hiv Patients ◽  
Binomial Regression

Abstract Background This study offers a comprehensive approach to precisely analyze the complexly distributed length of stay among HIV admissions in Portugal. Objective To provide an illustration of statistical techniques for analysing count data using longitudinal predictors of length of stay among HIV hospitalizations in Portugal. Method Registered discharges in the Portuguese National Health Service (NHS) facilities Between January 2009 and December 2017, a total of 26,505 classified under Major Diagnostic Category (MDC) created for patients with HIV infection, with HIV/AIDS as a main or secondary cause of admission, were used to predict length of stay among HIV hospitalizations in Portugal. Several strategies were applied to select the best count fit model that includes the Poisson regression model, zero-inflated Poisson, the negative binomial regression model, and zero-inflated negative binomial regression model. A random hospital effects term has been incorporated into the negative binomial model to examine the dependence between observations within the same hospital. A multivariable analysis has been performed to assess the effect of covariates on length of stay. Results The median length of stay in our study was 11 days (interquartile range: 6–22). Statistical comparisons among the count models revealed that the random-effects negative binomial models provided the best fit with observed data. Admissions among males or admissions associated with TB infection, pneumocystis, cytomegalovirus, candidiasis, toxoplasmosis, or mycobacterium disease exhibit a highly significant increase in length of stay. Perfect trends were observed in which a higher number of diagnoses or procedures lead to significantly higher length of stay. The random-effects term included in our model and refers to unexplained factors specific to each hospital revealed obvious differences in quality among the hospitals included in our study. Conclusions This study provides a comprehensive approach to address unique problems associated with the prediction of length of stay among HIV patients in Portugal.

scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required. Objective The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods We used data from the Korea National Health and Nutrition Examination Surveys from 2013 to 2018. A total of 21,193 (9022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03–1.27). Conclusions The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

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