scholarly journals Joint consensus statement of the Saudi Public Health Authority on the recommended amount of physical activity, sedentary behavior, and sleep duration for healthy Saudis: Background, methodology, and discussion

2021 ◽  
Vol 16 (3) ◽  
pp. 225
Author(s):  
AhmedS BaHammam ◽  
AbdullahF Alghannam ◽  
KhalidSaad Aljaloud ◽  
GhadeerS Aljuraiban ◽  
MeznaA AlMarzooqi ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Health Authority ◽  
Consensus Statement ◽  
Public Health Authority

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

scholarly journals Relationship (or its lack) between population and a water and sanitation service: a study of users' perception in Vitória (ES) Brazil

2010 ◽  
Vol 8 (4) ◽  
pp. 764-778 ◽  
Author(s):  
Sara Ramos da Silva ◽  
Léo Heller ◽  
Jorge de Campos Valadares ◽  
Sandy Cairncross
Keyword(s):  
Public Health ◽  
Health Risk ◽  
Water Supply ◽  
Health Authority ◽  
Capital City ◽  
Public Health Authority ◽  
Water And Sanitation ◽  
Local Public Health ◽  
Water Handling ◽  
Inadequate Knowledge

The objective of this paper is to identify and analyse the perception of groups of dwellers of Vitória, Espírito Santo, Brazil, regarding their relationship with the water and sanitation service and aspects of water handling. Participants living in four distinct urban districts of the capital city were interviewed in their own houses and the Discourse of the Collective Subject approach was employed to order the data so obtained. The testimonies revealed the health risk to which individuals were exposed by virtue of: (i) inadequate knowledge concerning the water supply offered, (ii) lack of stimulus to exert their citizens' rights and obligations in relation to the water provided for their consumption and (iii) poor channels of communication between the community, the water and sanitation service and the local public health authority. The study concluded that there is a need to rethink the forms of information provided to the population that are presently adopted by these institutions.

scholarly journals Taken to Court: Defending Public Health Authority to Access Medical Records during an Outbreak Investigation

2015 ◽  
Vol 130 (3) ◽  
pp. 278-283 ◽  
Author(s):  
Elizabeth R. Daly ◽  
Jeanne P. Herrick ◽  
Elizabeth X. Maynard ◽  
José T. Montero ◽  
Christine Adamski ◽  
...  
Keyword(s):  
Public Health ◽  
Health Authority ◽  
Medical Records ◽  
Outbreak Investigation ◽  
Public Health Authority

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

A haláloki diagnózisok megbízhatóságának javítása a népegészségügyi hatóság és a Központi Statisztikai Hivatal együttműködésével

2016 ◽  
Vol 157 (13) ◽  
pp. 504-511
Author(s):  
Mária Szücs ◽  
Dojna Pintérné Grósz ◽  
János Sándor
Keyword(s):  
Public Health ◽  
Cause Of Death ◽  
Health Authority ◽  
Control Method ◽  
International Classification Of Diseases ◽  
Public Health Authority ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Death Data

Introduction: The diagnosis of cause of death is based on the sequence of diagnoses declared by the physician who completes the death certificate that is processed by Central Statistical Office in Hungary. The validity control of the data requires the active involvement of the public health authority. Aim: The authors analyzed the death certificates from Tolna county in order to elaborate and evaluate methods for cause of death data validity control. Method: Diagnoses of cause of death declared by the physician, corrected by the social statistical review in the Central Statistical Office, and revised by public health authority were compared to evaluate the quality of cause of death data. Results: It was found that 5–10% of the cause of death diagnoses declared by physicians required some modification, resulting more than 1% change in county specific mortality statistics of the main International Classification of Diseases groups. Physicians who reported inaccurate cause of death data were identified. 10 indicators were defined to monitor the process elaborated in the project. Conclusions: Co-operation between the Central Statistical Office and public health authorities to improve the quality of cause of death data should be continued because evaluation of public health interventions needs more and more reliable and detailed cause of death statistics. Orv. Hetil., 2016, 157(13), 504–511.

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.

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