Faculty Opinions recommendation of The relations between sleep, time of physical activity, and time outdoors among adult women.

2017 ◽  
Author(s):  
Terri Weaver ◽  
Michael Calik
Keyword(s):  
Physical Activity ◽  
Sleep Time ◽  
Adult Women

scholarly journals The relations between sleep, time of physical activity, and time outdoors among adult women

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0182013 ◽  
Author(s):  
Kate Murray ◽  
Suneeta Godbole ◽  
Loki Natarajan ◽  
Kelsie Full ◽  
J. Aaron Hipp ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Time ◽  
Adult Women

scholarly journals Digital-Based Healthy Bra Top Design That Promotes the Physical Activity of New Senior Women by Applying an Optimal Pressure

2021 ◽  
Vol 18 (9) ◽  
pp. 4651
Author(s):  
Kuengmi Choi ◽  
Jungil Jun ◽  
Youngshil Ryoo ◽  
Sunmi Park
Keyword(s):  
Physical Activity ◽  
Three Dimensional ◽  
Reduction Rate ◽  
The Body ◽  
Adult Women ◽  
Design Development ◽  
Design Elements ◽  
Body Form ◽  
Senior Women ◽  
Clothing Pressure

A bra use can reduce physiological and physical functions because of clothing pressure, which can be a problem for new senior women starting to lose physical function. The present study presents a bra top design development method for promoting new senior women’s physical activity by identifying problems related to bras’ effects on women’s health and minimizing clothing pressure. The analysis utilized the 3D scan data of 42 adult women (age range: 50s) from the 5th Size Korea Project. Bra top design elements were extracted based on new senior consumers’ needs. We developed an average wireframe reflecting the new senior’s physical characteristics, and a standard body form was developed through surface modeling. To produce a consumer-oriented bra with a body shaping effect and reduced clothing pressure that would not affect physical activities, a three-dimensional pattern was developed applying an optimal reduction rate of 80%. To verify the bra’s adequacy for the body form of new senior women, two market-available bras were selected and fit-compared to the developed product. The developed bra received higher expert appearance evaluation and 3D virtual clothing evaluation scores. This study is significant because by using virtual fitting technology, it provides foundational data to quantify the quality of fashion products.

scholarly journals Physical Activity, Study Sitting Time, Leisure Sitting Time, and Sleep Time Are Differently Associated With Obesity in Korean Adolescents

Medicine ◽  
2015 ◽  
Vol 94 (44) ◽  
pp. e1965 ◽  
Author(s):  
Il Gyu Kong ◽  
Hyo-Jeong Lee ◽  
So Young Kim ◽  
Songyong Sim ◽  
Hyo Geun Choi
Keyword(s):  
Physical Activity ◽  
Sleep Time ◽  
Sitting Time ◽  
Korean Adolescents

The Relationship Between Habitual Physical Activity, Sitting Time, and Cognitive Function in Young Adult Women

2021 ◽  
pp. 1-6
Author(s):  
Eka Peng Cox ◽  
Rebecca Cook ◽  
Nicholas O’Dwyer ◽  
Cheyne Donges ◽  
Helen Parker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Information Processing ◽  
Cognitive Function ◽  
Body Mass ◽  
High Intensity ◽  
Analysis Of Covariance ◽  
Sitting Time ◽  
Adult Women ◽  
Normal Ranges

Background: There is evidence that physical activity (PA), sitting time, and obesity may impact cognition, but few studies have examined this in young women. Methods: Healthy women (18–35 y), without conditions that impair cognition, were recruited for this cross-sectional study. Participants completed anthropometric and validated computerized cognitive assessments (IntegNeuro™). Performance on 5 cognitive domains (impulsivity, attention, information processing, memory, and executive function) was reported as z scores. Sitting hours and weekly PA calculated from time in low-, moderate-, and high-intensity activity were obtained via the International Physical Activity Questionnaire. Analysis of variance/analysis of covariance, chi-square, and linear regression were used. Results: 299 (25.9 [5.1] y) women (low PA = 19%; moderate PA = 40%; high PA = 41%) participated. High PA women had lower body mass index (high PA = 26.1 [6.5]; moderate PA = 30.0 [8.7]; low PA = 31.0 [11.1] kg/m2; P < .001) and less sitting time (high PA = 6.6 [3.1]; moderate PA = 7.7 [2.8]; low PA = 9.3 [3.6] hr/weekday; P < .0001). Cognitive function was within normal ranges and did not differ between any PA groups (P = .42). Adjusting for body mass index, C-reactive protein, or sitting hours did not alter results. Weak correlations were found between time in high-intensity activity and impulsivity (b = 0.12, r2 = .015; P = .04), and between sitting hours and information processing efficiency (b = −0.18, r2 = .03; P = .002). Valuesare presented as mean (SD). Conclusions: Cognitive function was within the normal range, regardless of PA or sitting time.

The Role of Body-Related Self-Conscious Emotions in Motivating Women’s Physical Activity

2010 ◽  
Vol 32 (4) ◽  
pp. 417-437 ◽  
Author(s):  
Catherine M. Sabiston ◽  
Jennifer Brunet ◽  
Kent C. Kowalski ◽  
Philip M. Wilson ◽  
Diane E. Mack ◽  
...  
Keyword(s):  
Physical Activity ◽  
Structural Model ◽  
Leisure Time Physical Activity ◽  
Physical Activity Behavior ◽  
Adult Women ◽  
Shame And Guilt ◽  
Intrinsic Regulation ◽  
Activity Behavior ◽  
And Behavior

The purpose of this study was to test a model where body-related self-conscious emotions of shame, guilt, and pride were associated with physical activity regulations and behavior. Adult women (N = 389; M age = 29.82, SD = 15.20 years) completed a questionnaire assessing body-related pride, shame, and guilt, motivational regulations, and leisure-time physical activity. The hypothesized measurement and structural models were deemed adequate, as was a revised model examining shame-free guilt and guilt-free shame. In the revised structural model, body-related pride was positively significantly related to identified and intrinsic regulations. Body-related shame-free guilt was significantly associated with external, introjected, and identified regulations. Body-related guilt-free shame was significantly positively related to external and introjected regulation, and negatively associated with intrinsic regulation. Identified and intrinsic regulations were significantly positively related to physical activity (R2 = .62). These findings highlight the importance of targeting and understanding the realm of body-related self-conscious emotions and the associated links to regulations and physical activity behavior.

OLDER PEOPLE INVOLVED IN PHYSICAL ACTIVITY BENEFIT FROM WATER EXERCISE, SHOWING LONGER TOTAL SLEEP TIME

2006 ◽  
Vol 54 (4) ◽  
pp. 725-727 ◽  
Author(s):  
Katia L. F. G. Alencar ◽  
Luciane B. C. Carvalho ◽  
Lucila B. F. Prado ◽  
Ana Lucia V. Vantini ◽  
Valdirene C. Vieira ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older People ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Water Exercise

scholarly journals Association between physical activity and changes in intestinal microbiota composition: A systematic review

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247039
Author(s):  
Viviana Aya ◽  
Alberto Flórez ◽  
Luis Perez ◽  
Juan David Ramírez
Keyword(s):  
Physical Activity ◽  
Longitudinal Studies ◽  
Intestinal Microbiota ◽  
Gut Microbiome ◽  
Risk Of Bias ◽  
Adult Women ◽  
Activity Levels ◽  
Cross Sectional ◽  
Beneficial Effects ◽  
Type Of Exercise

Introduction The intestinal microbiota comprises bacteria, fungi, archaea, protists, helminths and viruses that symbiotically inhabit the digestive system. To date, research has provided limited data on the possible association between an active lifestyle and a healthy composition of human microbiota. This review was aimed to summarize the results of human studies comparing the microbiome of healthy individuals with different physical activity amounts. Methods We searched Medline/Ovid, NIH/PubMed, and Academic Search Complete between August–October 2020. Inclusion criteria comprised: (a) cross-sectional studies focused on comparing gut microbiome among subjects with different physical activity levels; (b) studies describing human gut microbiome responses to any type of exercise stimulus; (c) studies containing healthy adult women and men. We excluded studies containing diet modifications, probiotic or prebiotic consumption, as well as studies focused on diabetes, hypertension, cancer, hormonal dysfunction. Methodological quality and risk of bias for each study were assessed using the Risk Of Bias In Non-randomized Studies—of Interventions tool. The results from cross-sectional and longitudinal studies are shown independently. Results A total of 17 articles were eligible for inclusion: ten cross-sectional and seven longitudinal studies. Main outcomes vary significantly according to physical activity amounts in longitudinal studies. We identified discrete changes in diversity indexes and relative abundance of certain bacteria in active people. Conclusion As literature in this field is rapidly growing, it is important that studies incorporate diverse methods to evaluate other aspects related to active lifestyles such as sleep and dietary patterns. Exploration of other groups such as viruses, archaea and parasites may lead to a better understanding of gut microbiota adaptation to physical activity and sports and its potentially beneficial effects on host metabolism and endurance.

scholarly journals The Relation of Fiber Intake, Cholesterol, and Physical Activity with Blood Cholesterol Level of Women Adult in Bogor Aerobic Studio

2018 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Adinda Maharani ◽  
Avliya Quratul Marjan ◽  
Luh Desi Puspareni
Keyword(s):  
Physical Activity ◽  
Cholesterol Level ◽  
Cross Sectional Study ◽  
Blood Cholesterol ◽  
P Value ◽  
Adult Women ◽  
Blood Cholesterol Level ◽  
Fiber Intake ◽  
Cross Sectional ◽  
Eating Pattern

<p>This study aims to analyze the relation between fiber intake, cholesterol, nutritional status, and physical activity with blood cholesterol level on adult women. The study design was a cross sectional study. The study involved 60 adult women (aged 40-64 y.o) in the Sanggar Senam Bugar Sehat Bogor as respondent. The analysis used was Chi-square test to assess the relation between variables. The result showed a signinificant relation of physical activity (p value=0,027, OR=0,098 ; 95% CI=0,012-0,809), fiber intake (p value=0,046, OR=7,724 ; 95% CI=0,918-64,260), and cholesterol intake (p value=0,000, OR=16,00 ; 95% CI=3,398-75,345) with blood cholesterol level. It is concluded that blood cholesterol levels are influenced by eating pattern, physical activities, and routine medical check up.</p>

Sign in / Sign up

Export Citation Format

Share Document