Monthly number of preterm births and environmental physical activity

2007 ◽  
Vol 18 (2) ◽  
Author(s):  
E. Stoupel ◽  
L. Sirotal ◽  
M. Osovsky ◽  
G. Klinger ◽  
E. Abramson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preterm Births ◽  
Environmental Physical Activity

Association of Time of Occurrence of Electrical Heart Storms with Environmental Physical Activity

2014 ◽  
Vol 37 (8) ◽  
pp. 1067-1070 ◽  
Author(s):  
ELIIYAHU STOUPEL ◽  
JAIRO KUSNIEC ◽  
GREGORY GOLOVCHINER ◽  
EVGENY ABRAMSON ◽  
UDI KADMON ◽  
...  
Keyword(s):  
Physical Activity ◽  
Environmental Physical Activity

Chromosome aberration and environmental physical activity: Down syndrome and solar and cosmic ray activity, Israel, 1990–2000

2005 ◽  
Vol 50 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Eliahu G. Stoupel ◽  
Helena Frimer ◽  
Zvi Appelman ◽  
Ziva Ben-Neriah ◽  
Hanna Dar ◽  
...  
Keyword(s):  
Physical Activity ◽  
Down Syndrome ◽  
Chromosome Aberration ◽  
Cosmic Ray ◽  
Environmental Physical Activity

Suicide-Homicide Temporal Interrelationship, Links with Other Fatalities, and Environmental Physical Activity

Crisis ◽  
2005 ◽  
Vol 26 (2) ◽  
pp. 85-89 ◽  
Author(s):  
E. Stoupel ◽  
R. Kalëdienë ◽  
J. Petrauskiene ◽  
S. Starkuviene ◽  
E. Abramson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Environmental Physical Activity

Physical Activity During Pregnancy and Preterm Birth: Findings From the 2015 Pelotas (Brazil) Birth Cohort Study

2020 ◽  
Vol 17 (11) ◽  
pp. 1065-1074
Author(s):  
Werner de Andrade Müller ◽  
Grégore Iven Mielke ◽  
Inácio Crochemore M. da Silva ◽  
Mariangela F. Silveira ◽  
Marlos Rodrigues Domingues
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Preterm Birth ◽  
Birth Cohort ◽  
Child Outcomes ◽  
Preterm Births ◽  
Birth Cohort Study ◽  
Premature Delivery ◽  
Third Trimester ◽  
The Third

Background: Physical activity (PA) during pregnancy is associated with several benefits in maternal and child outcomes, and its relationship with preterm birth is still conflicting. This study aims to examine the associations between PA during pregnancy and occurrence of preterm birth. Methods: PA was assessed by questionnaire (for each trimester) and accelerometry (second trimester) in women enrolled in a birth cohort study that started during pregnancy and included births that occurred between January 1 and December 31, 2015. Gestational age was based on the last menstrual period and ultrasonography. All deliveries before 37 weeks of gestation were considered preterm births. A Poisson regression model was used to measure associations controlling for potential confounders. Results: PA information was available for 4163 women and 13.8% of births were preterm. A total of 15.8% of women were engaged in PA during pregnancy. Multivariate analysis showed that only PA performed in the third trimester of pregnancy (prevalence ratio = 0.58; 95% confidence interval, 0.36–0.96) was associated with the outcome. Conclusions: PA performed in the third trimester of pregnancy was associated with a protection to preterm birth. Pregnant women should be counseled to engage in PA to lower the risk of premature delivery.

scholarly journals Pregnant women’s daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246494
Author(s):  
Hannakaisa Niela-Vilén ◽  
Jennifer Auxier ◽  
Eeva Ekholm ◽  
Fatemeh Sarhaddi ◽  
Milad Asgari Mehrabadi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Low Frequency ◽  
Preterm Births ◽  
Well Being ◽  
Smartphone Application ◽  
Daily Patterns ◽  
At Home

Background Technology enables the continuous monitoring of personal health parameter data during pregnancy regardless of the disruption of normal daily life patterns. Our research group has established a project investigating the usefulness of an Internet of Things–based system and smartwatch technology for monitoring women during pregnancy to explore variations in stress, physical activity and sleep. The aim of this study was to examine daily patterns of well-being in pregnant women before and during the national stay-at-home restrictions related to the COVID-19 pandemic in Finland. Methods A longitudinal cohort study design was used to monitor pregnant women in their everyday settings. Two cohorts of pregnant women were recruited. In the first wave in January-December 2019, pregnant women with histories of preterm births (gestational weeks 22–36) or late miscarriages (gestational weeks 12–21); and in the second wave between October 2019 and March 2020, pregnant women with histories of full-term births (gestational weeks 37–42) and no pregnancy losses were recruited. The final sample size for this study was 38 pregnant women. The participants continuously used the Samsung Gear Sport smartwatch and their heart rate variability, and physical activity and sleep data were collected. Subjective stress, activity and sleep reports were collected using a smartphone application developed for this study. Data between February 12 to April 8, 2020 were included to cover four-week periods before and during the national stay-at-home restrictions. Hierarchical linear mixed models were exploited to analyze the trends in the outcome variables. Results The pandemic-related restrictions were associated with changes in heart rate variability: the standard deviation of all normal inter-beat intervals (p = 0.034), low-frequency power (p = 0.040) and the low-frequency/high-frequency ratio (p = 0.013) increased compared with the weeks before the restrictions. Women’s subjectively evaluated stress levels also increased significantly. Physical activity decreased when the restrictions were set and as pregnancy proceeded. The total sleep time also decreased as pregnancy proceeded, but pandemic-related restrictions were not associated with sleep. Daily rhythms changed in that the participants overall started to sleep later and woke up later. Conclusions The findings showed that Finnish pregnant women coped well with the pandemic-related restrictions and lockdown environment in terms of stress, physical activity and sleep.

Perceived Environmental Physical Activity Correlates Among Asian Pacific Islander Americans

2012 ◽  
Vol 9 (8) ◽  
pp. 1098-1104 ◽  
Author(s):  
Timothy J. Bungum ◽  
Merrill Landers ◽  
Maria Azzarelli ◽  
Sheniz Moonie
Keyword(s):  
Physical Activity ◽  
Educational Attainment ◽  
Pacific Islander ◽  
Physical Activity Behavior ◽  
Neighborhood Safety ◽  
Asian Pacific Islander ◽  
Activity Behavior ◽  
Pacific Islander Americans ◽  
Asian Pacific ◽  
Environmental Physical Activity

Background:Little is known about correlates of physical activity of Asian and Asian-Pacific Islander Americans (AAPI). Knowledge of these correlates could be useful in promoting physical activity. Purpose: to identify demographic and environmental correlates of physical activity among AAPI.Methods:Participants resided in the Las Vegas, Nevada area, and completed a 52-item telephone administered questionnaire that assessed physical activity behavior, environmental supports for physical activity and demographic factors. Environmental factors included the presence of neighborhood sidewalks, park availability, and nearby grocery stores were combined to create the variable “environmental physical activity supports” (EPAS). Neighborhood crime, pleasantness of the neighborhood for walking, and the presence of loose dogs combined to form “neighborhood safety.” Logistic regression was used to identify predictors of physical activity. Potential predictors included age, gender, BMI, employment, educational attainment, neighborhood safety, and EPAS.Results:263 respondents completed the survey. With the exception of living near a grocery store, respondents reported residing in neighborhoods that are generally supportive of physical activity. However, EPAS was the sole significant predictor of physical activity behavior (OR = 1.52, CI = 1.06–2.17). Age and educational attainment unexpectedly failed to predict physical activity.Conclusions:Supportive physical activity environments associate with physical activity behavior among AAPI.

scholarly journals Cognitive resources moderate the adverse impact of poor perceived neighborhood conditions on physical activity

2019 ◽  
Author(s):  
Boris Cheval ◽  
Amanda L. Rebar ◽  
Matthew W Miller ◽  
Stefan Sieber ◽  
Dan Orsholits ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Cognitive Resources ◽  
Neighborhood Conditions ◽  
Local Services ◽  
Poor Neighborhood ◽  
Adverse Influence ◽  
Environmental Physical Activity ◽  
Moderating Role

Poor neighborhood conditions are associated with lower levels of physical activity in older age, but socio-ecological models put forth that physical activity is dependent on both environmental and individual factors. Older adults’ abilities to overcome environmental physical activity barriers may partially rely on cognitive resources. However, evidence on the moderating role of these cognitive resources in environmental barrier and physical activity behavior associations is still lacking. We analyzed cross-national and longitudinal data on 28,876 adults aged 50 to 96 years in SHARE survey. Lack of access to local services and neighborhood nuisances were used as indicators of poor neighborhood conditions. Delayed recall, verbal fluency, and time orientation were used as indicators of cognitive resources. Confounder-adjusted linear mixed models were conducted to test associations between neighborhood conditions and self-reported physical activity, as well as the moderating role of the cognitive resources. We found that poor neighborhood conditions, especially low access to local services, were associated with less frequent engagement in physical activity and with a steeper decline of engagement in physical activity across aging. Moreover, cognitive resources robustly reduced the adverse influence of poor neighborhood conditions on physical activity. These findings suggest that cognitive resources can temper the detrimental effect of poor neighborhood conditions on physical activity. Public policies should target both individual and environmental factors to tackle the current pandemic of physical inactivity more comprehensively.

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