scholarly journals Erratum: Meyer, J., et al. Changes in Physical Activity and Sedentary Behavior in Response to COVID-19 and Their Associations with Mental Health in 3052 US Adults. Int. J. Environ. Res. Public Health 2020, 17(18), 6469

2020 ◽  
Vol 17 (19) ◽  
pp. 6949
Author(s):  
Jacob Meyer ◽  
Cillian McDowell ◽  
Jeni Lansing ◽  
Cassandra Brower ◽  
Lee Smith ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Physical Activity ◽  
Sedentary Behavior

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scholarly journals Changes in Physical Activity and Sedentary Behavior in Response to COVID-19 and Their Associations with Mental Health in 3052 US Adults

2020 ◽  
Vol 17 (18) ◽  
pp. 6469 ◽  
Author(s):  
Jacob Meyer ◽  
Cillian McDowell ◽  
Jeni Lansing ◽  
Cassandra Brower ◽  
Lee Smith ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Social Connectedness ◽  
Anxiety Symptoms ◽  
Cross Sectional ◽  
Societal Changes ◽  
The Impact

The COVID-19 pandemic altered many facets of life. We aimed to evaluate the impact of COVID-19-related public health guidelines on physical activity (PA), sedentary behavior, mental health, and their interrelations. Cross-sectional data were collected from 3052 US adults 3–8 April 2020 (from all 50 states). Participants self-reported pre- and post-COVID-19 levels of moderate and vigorous PA, sitting, and screen time. Currently-followed public health guidelines, stress, loneliness, positive mental health (PMH), social connectedness, and depressive and anxiety symptoms were self-reported. Participants were grouped by meeting US PA guidelines, reporting ≥8 h/day of sitting, or ≥8 h/day of screen time, pre- and post-COVID-19. Overall, 62% of participants were female, with age ranging from 18–24 (16.6% of sample) to 75+ (9.3%). Self-reported PA was lower post-COVID among participants reporting being previously active (mean change: −32.3% [95% CI: −36.3%, −28.1%]) but largely unchanged among previously inactive participants (+2.3% [−3.5%, +8.1%]). No longer meeting PA guidelines and increased screen time were associated with worse depression, loneliness, stress, and PMH (p < 0.001). Self-isolation/quarantine was associated with higher depressive and anxiety symptoms compared to social distancing (p < 0.001). Maintaining and enhancing physical activity participation and limiting screen time increases during abrupt societal changes may mitigate the mental health consequences.

scholarly journals The Comparison of Physical Activity, Sedentary Behavior, and Mental Health between Early Menopausal Women and Age-Matched General Middle-Aged Women

2021 ◽  
Vol 18 (14) ◽  
pp. 7256
Author(s):  
Ji-Su Kim ◽  
Ju-Pil Choe ◽  
Jeong-Hui Park ◽  
Eunhye Yoo ◽  
Jung-Min Lee
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Healthy Lifestyle ◽  
Multinomial Logistic Regression ◽  
Middle Aged ◽  
General Group ◽  
Menopausal Women ◽  
Global Physical Activity Questionnaire ◽  
Causes Of Mortality

The current study is to examine the differences in physical activity (PA), sedentary behavior (SB), and mental health (i.e., stress, depression, and suicidal behaviors) between early menopausal women and age-matched general middle-aged women. Among 1348 participants in South Korea, 674 participants who experienced menopause before the age of 45 were defined as the early menopausal group, and 674 women who experienced menopause from 45 years to 55 years were classified as the general group by matching age based on early menopausal women. PA, SB, and mental health were evaluated by using the Global Physical Activity Questionnaire (GPAQ). An independent t-test was used to compare the associations of PA, SB, and mental health between the two groups. To demonstrate the predictors of early menopause, variables in the study were analyzed by multinomial logistic regression. The main findings were that moderate-to-vigorous PA (MVPA) and light PA (LPA) had significant differences between the two groups, but SB had no significant differences. In mental health, only perceived stress had significant differences in this study. The moderate level of stress in the early menopausal group was twice as high as that of the general group, and the severe level of stress was even 2.6 times higher than the general group. PA plays an essential role in mitigating the causes of mortality and the risk of various chronic diseases and improving quality of life; thus, the main findings of this study could be important to provide insights on the corresponding impact between early menopausal women and PA to encourage their healthy lifestyle. Further longitudinal studies are needed to examine the mechanisms underlying the effects of PA, SB, and mental health on early menopausal women.

scholarly journals Physical activity and mental well-being under COVID-19 lockdown: a cross-sectional multination study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Costas I. Karageorghis ◽  
Jonathan M. Bird ◽  
Jasmin C. Hutchinson ◽  
Mark Hamer ◽  
Yvonne N. Delevoye-Turrell ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Electronic Device ◽  
Well Being ◽  
Middle Aged ◽  
Steps Per Day ◽  
Western Nations

Abstract Background COVID-19 lockdowns have reduced opportunities for physical activity (PA) and encouraged more sedentary lifestyles. A concomitant of sedentariness is compromised mental health. We investigated the effects of COVID-19 lockdown on PA, sedentary behavior, and mental health across four Western nations (USA, UK, France, and Australia). Methods An online survey was administered in the second quarter of 2020 (N = 2541). We measured planned and unplanned dimensions of PA using the Brunel Lifestyle Physical Activity Questionnaire and mental health using the 12-item General Health Questionnaire. Steps per day were recorded only from participants who used an electronic device for this purpose, and sedentary behavior was reported in hours per day (sitting and screen time). Results In the USA and Australia samples, there was a significant decline in planned PA from pre- to during lockdown. Among young adults, Australians exhibited the lowest planned PA scores, while in middle-aged groups, the UK recorded the highest. Young adults exhibited the largest reduction in unplanned PA. Across nations, there was a reduction of ~ 2000 steps per day. Large increases in sedentary behavior emerged during lockdown, which were most acute in young adults. Lockdown was associated with a decline in mental health that was more pronounced in women. Conclusions The findings illustrate the deleterious effects of lockdown on PA, sedentary behavior, and mental health across four Western nations. Australian young and lower middle-aged adults appeared to fare particularly badly in terms of planned PA. The reduction in steps per day is equivalent to the non-expenditure of ~ 100 kcal. Declines in mental health show how harmful lockdowns can be for women in particular.

scholarly journals What Predicts Stable Mental Health in the 18–29 Age Group Compared to Older Age Groups? Results from the Stockholm Public Health Cohort 2002–2014

2018 ◽  
Vol 15 (12) ◽  
pp. 2859 ◽  
Author(s):  
Regina Winzer ◽  
Kimmo Sorjonen ◽  
Lene Lindberg
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Physical Activity ◽  
Social Capital ◽  
Health Behavior ◽  
Social Determinants ◽  
Emotional Support ◽  
Male Gender ◽  
Financial Strain ◽  
Age Group

Mental health has decreased in young people since the 1990s, and mental health promotion is an urgent matter. A first step is to identify which social determinants could be of importance for intervention. We used the Stockholm Public Health Cohort, a longitudinal population-based health survey, completed by 31,000 inhabitants in the Stockholm County. We focused on the 18–29 age group, n = 3373 (60% females, 40% males) and aimed at assessing which social determinants predict stable mental health, measured as scoring <3 points on the General Health Questionnaire 12 at all time points: 2002, 2007, 2010, and 2014. Forty-six percent of males and 36% of females reported stable mental health. Among the 17 predictors on sociodemographics, socioeconomics, social capital, health behavior, and victimization, six predicted stable mental health in the following order: occupation and especially employment, emotional support, male gender, being born in Sweden, absence of financial strain, and consumption of fruit and berries. In the 30–84 age group, 66% males and 55% females reported stable mental health. Nine determinants in the following rank predicted stable mental health: absence of financial strain, occupation and especially being self-employed, emotional support, male gender, physical activity, instrumental support, interpersonal trust, community trust, and absence of hazardous alcohol consumption. Interaction analysis showed significant difference between the younger and older group regarding physical activity and absence of financial strain with importance being higher for the older group. Our findings indicate that the determinants of health differ across the life-course with fewer predictors related to social capital and health behavior in the younger group compared to the older. We conclude that health-promoting interventions should be lifespan-sensitive.

scholarly journals A Structured and Flexible Language for Physical Activity Assessment and Characterization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Pedro Silva ◽  
Maria Teresa Andrade ◽  
Pedro Carvalho ◽  
Jorge Mota
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Activity Patterns ◽  
Public Health Research ◽  
Cognitive Limitations ◽  
Public Health Professionals ◽  
Activity Assessment ◽  
Base Language ◽  
Flexible Base

Developing more accurate assessments of physical activity (PA) and sedentary behavior (SB) is an important public health research priority. Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns. Moreover, they are influenced by several factors including temporal-spatial constraints and social conditions. To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors. The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs. The ontology would establish a flexible base language to facilitate standardized descriptions of these behaviors for researchers and public health professionals.

Assessment of Physical Activity and Sedentary Behavior in Preschool-Age Children: Priorities for Research

2001 ◽  
Vol 13 (2) ◽  
pp. 113-126 ◽  
Author(s):  
Janet E. Fulton ◽  
Charlene R. Burgeson ◽  
Geraldine R. Perry ◽  
Bettylou Sherry ◽  
Deborah A. Galuska ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Expert Panel ◽  
Research Priorities ◽  
Public Health Research ◽  
Preschool Age ◽  
Current State ◽  
Preschool Age Children ◽  
Public Health Functions

An expert panel workshop had two specific aims: (a) to review the current state of knowledge of existing methods for assessing physical activity and sedentary behavior in order to determine their reliability, validity, feasibility, strengths, and limitations and (b) to set research priorities and recommendations to enable the use of reliable and valid instruments for assessing physical activity and sedentary behavior within the context of three public health functions for children ages 2–5 years. Experts presented four major recommendations for research priorities at the conclusion of the 2-day workshop. The need to develop valid methods for measuring physical activity and sedentary behavior was considered the necessary first step to accomplish meaningful physical activity surveillance, public health research, and intervention research for children ages 2–5 years.

scholarly journals Physical Activity and Sedentary Behavior Clustering: Segmentation to Optimize Active Lifestyles

2016 ◽  
Vol 13 (9) ◽  
pp. 921-928 ◽  
Author(s):  
Stephen Zwolinsky ◽  
James McKenna ◽  
Andy Pringle ◽  
Paul Widdop ◽  
Claire Griffiths ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Hierarchical Cluster ◽  
Optimal Number ◽  
Multiple Deprivation ◽  
Highly Active ◽  
Active Lifestyles ◽  
Univariate Analyses ◽  
Indices Of Multiple Deprivation

Background:Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination.Methods:Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences.Results:High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation.Conclusions:Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.

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