Campus Recreation Use and Health Behaviors among College Students in Different Academic Disciplines

2017 ◽  
Vol 41 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Patrick C. Gathman ◽  
Nicole R. Grabowski ◽  
Julia Wallace Carr ◽  
Mikel K. Todd
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Vegetable Intake ◽  
Academic Discipline ◽  
Vigorous Physical Activity ◽  
Perceived Health ◽  
Health Science ◽  
Campus Recreation ◽  
Positive Health ◽  
Health Related

Physical activity, campus recreation (CR) use, body mass index (BMI), and varied health indices were compared between academic discipline groups and sex. Participants ( n = 219) were classified as AD I (kinesiology and physical education majors), AD II (health science majors and nursing majors), and AD III (representative sample of non-health-related majors) to make between-group comparisons based on the amount of emphasis placed on physical activity and health-related content within different disciplines. Significant differences ( p < .05) were found between the academic discipline groups for International Physical Activity Questionnaire scores, CR minutes, CR days, CR time per day, vigorous physical activity (VPA), and perceived-health score; and between sex for BMI, VPA, sitting, fiber intake, and fruit and vegetable intake. The results indicate a positive relationship between the emphasis placed physical activity and health within an academic discipline and the degree to which students participate in physical activity, positive health behaviors, and perceived health.

scholarly journals Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review (Preprint)

2018 ◽  
Author(s):  
Nicole Kiss ◽  
Brenton James Baguley ◽  
Kylie Ball ◽  
Robin M Daly ◽  
Steve F Fraser ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Vegetable Intake ◽  
Vigorous Physical Activity ◽  
Risk Of Bias ◽  
Activity Level ◽  
Dietary Behaviour ◽  
Physical Activity Interventions ◽  
Health Related ◽  
Nutrition And Physical Activity

BACKGROUND Nutrition and physical activity interventions are important components of cancer care. With an increasing demand for services, there is a need to consider flexible, easily accessible, and tailored models of care while maintaining optimal outcomes. OBJECTIVE This systematic review describes and appraises the efficacy of technology-supported self-guided nutrition and physical activity interventions for people with cancer. METHODS A systematic search of multiple databases from 1973 to July 2018 was conducted for randomized and nonrandomized trials investigating technology-supported self-guided nutrition and physical activity interventions. Risk of bias was assessed using the Cochrane Risk of Bias tool. Outcomes included behavioural, health-related, clinical, health service, or financial measures. RESULTS Sixteen randomized controlled trials representing 2684 participants were included. Most studies were web-based interventions (n=9) and had a 12-week follow-up duration (n=8). Seven studies assessed dietary behaviour, of which two reported a significant benefit on diet quality or fruit and vegetable intake. Fifteen studies measured physical activity behaviour, of which eight studies reported a significant improvement in muscle strength and moderate-to-vigorous physical activity. Four of the nine studies assessing the health-related quality of life (HRQoL) reported a significant improvement in global HRQoL or a domain subscale. A significant improvement in fatigue was found in four of six studies. Interpretation of findings was influenced by inadequate reporting of intervention description and compliance. CONCLUSIONS This review identified short-term benefits of technology-supported self-guided interventions on the physical activity level and fatigue and some benefit on dietary behaviour and HRQoL in people with cancer. However, current literature demonstrates a lack of evidence for long-term benefit. CLINICALTRIAL PROSPERO CRD42017080346; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80346

Associations between multiple positive health behaviours and cardiometabolic risk using three alternative measures of physical activity: NHANES 2005–2006

2020 ◽  
Author(s):  
Stina Oftedal ◽  
Elroy J Aguiar ◽  
Mitch J. Duncan
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Health Behaviors ◽  
Screen Time ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Single Point ◽  
Index Score ◽  
Linear Regression Models ◽  
Positive Health

Purpose: The study aimed to investigate the association between clustered cardiometabolic risk (CCMR) and health-behavior indices comprising three different measures of physical activity, screen time, diet and sleep in NHANES 2005-2006. Methods: CCMR was calculated by standardizing and summarizing measures of blood pressure, fasting glucose, triglycerides, insulin, high-density lipoprotein and waist circumference to create a Z-score. Three health behavior indices were constructed with a single point allocated to each of the following lower risk behaviors: muscle strengthening activity, healthy eating score, sleep disorder/disruption, sleep duration, screen time and physical activity (self-reported moderate-to-vigorous physical activity [MVPA] (Index Score-SR), accelerometer-measured MVPA (Index Score-MVPA) or accelerometer-measured steps Index Score-Steps). Linear regression models explored associations between index scores and CCMR. Results: In the sample (n=1537, 52% male, aged 45.5 [SE:0.9] years), reporting 0-5 vs. 6 health behaviors using Index Score-SR and Index Score-MVPA, and 0-4 vs. 6 health behaviors using Index Score-Steps, were associated with a significantly higher CCMR. The beta (β [95%CI]) for zero vs. six behaviors were: Index Score-SR (2.86 [2.02, 3.69], Index Score-MVPA (2.41 [1.49, 3.33] and Index Score-Steps (2.41 [1.68, 3.15]). Conclusion: Irrespective of the measure of physical activity, engaging in fewer positive health behaviors was associated with greater CCMR. Novelty bullets • Physical activity, screen time, diet and sleep may exert synergistic/cumulative effects on clustered cardiometabolic risk. • A greater number of positive health behaviors was associated with a lower clustered cardiometabolic risk factor score. • The reduction in cardiometabolic risk was similar irrespective of which physical activity measure was used.

scholarly journals Feasibility of a Digital Intervention to Promote Healthy Weight Management among Postpartum African American/Black Women

2021 ◽  
Vol 18 (4) ◽  
pp. 2178
Author(s):  
Melissa A. Napolitano ◽  
Cherise B. Harrington ◽  
Loral Patchen ◽  
Lindsey P. Ellis ◽  
Tony Ma ◽  
...  
Keyword(s):  
Physical Activity ◽  
African American ◽  
Black Women ◽  
Vegetable Intake ◽  
Vigorous Physical Activity ◽  
Future Research ◽  
Healthy Weight ◽  
Weight Outcomes ◽  
Postpartum Weight ◽  
American Black

The study aim was to implement and evaluate the feasibility of a culturally informed (“BeFAB”) app for African American/Black women to address postpartum weight. Women (n = 136; mean age = 27.8 ± 5.4; mean BMI = 32.5 ± 4.3) were recruited from postpartum units, and randomly assigned to receive BeFAB (n = 65) or usual care (n = 71) for 12 weeks. App content included didactic lessons delivered via a virtual coach, app-based messages, goal setting and tracking, and edutainment videos. Feasibility outcomes included recruitment, retention and engagement, and self-reported acceptability. Behavioral (i.e., diet, physical activity), psychosocial (i.e., stress, coping, support, self-efficacy) and weight outcomes were also examined. Recruitment goals were met, but attrition was high, with 56% retention at 12 weeks. Approximately half of participants accessed the app and set a goal ≥one time, but <10% reported achieving a nutrition or activity goal. Among study completers, ≥60% found the app content at least somewhat helpful. Within-group changes for BeFAB among completers were found for increased moderate-to-vigorous physical activity and decreased fruit/vegetable intake and weight. Findings indicate initial feasibility of recruiting postpartum women to participate in a digital healthy body weight program but limited use, reflecting low acceptability and challenges in engagement and retention. Future research is needed on strategies to engage and retain participants in postpartum interventions.

scholarly journals Utilizing Participatory Research to Engage Underserved Populations to Improve Health-Related Outcomes in Delaware

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2353
Author(s):  
Shannon M. Robson ◽  
Samantha M. Rex ◽  
Katie Greenawalt ◽  
P. Michael Peterson ◽  
Elizabeth Orsega-Smith
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Health Behaviors ◽  
Participatory Research ◽  
Cooperative Extension ◽  
Underserved Populations ◽  
Community Outreach ◽  
Outreach Program ◽  
Health Related ◽  
Improve Health

Cooperative Extension is a community outreach program. Despite its large reach, there is a need for the evaluation of changes in health-related outcomes for individuals engaged with Cooperative Extension. A team-based challenge was developed using community-engaged participatory research integrated with Cooperative Extension to encourage healthy eating and physical activity behaviors through Cooperative Extension programming. Thus, the primary purpose of this secondary analysis was to (1) evaluate changes in anthropometric outcomes and (2) evaluate changes in health behavior outcomes. Associations of anthropometric changes and health behavior changes with engagement in the three-month team-based challenge were explored. Anthropometrics were measured using standard procedures, and intake of fruits and vegetables and physical activity were self-reported. Of the 145 participants in the community-engaged participatory research portion of the study, 52.4% (n = 76) had complete anthropometrics before and after the team-based challenge and were included in this study. At 3 months, there was a significant reduction in body mass index (−0.3 kg/m2, p = 0.024) and no significant change in waist circumference (p = 0.781). Fruit and vegetable intake significantly increased (+0.44 servings/day, p = 0.018). Physical activity did not significantly change based on (1) the number of days 30 or more minutes of physical activity was conducted (p = 0.765) and (2) Godin Leisure-Time Exercise Questionnaire scores (p = 0.612). Changes in anthropometrics and health behaviors were not associated with engagement in the team-based challenge. Using community-engaged participatory research with community outreach programs, such as Cooperative Extension, can improve health-related outcomes in underserved populations. However, despite a participatory approach, changes in anthropometrics and health behaviors were not associated with engagement in the developed team-based challenge.

scholarly journals Relationship between Sedentary Time, Physical Activity, and Health-Related Quality of Life in Spanish Children

2021 ◽  
Vol 18 (5) ◽  
pp. 2702
Author(s):  
Manuel Ávila-García ◽  
María Esojo-Rivas ◽  
Emilio Villa-González ◽  
Pablo Tercedor ◽  
Francisco Javier Huertas-Delgado
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Well Being ◽  
Self Esteem ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Higher sedentary time and lower physical activity (PA) are associated with a poor health-related quality of life (HRQoL) in children. The aims of this study were: (1) to analyze the sedentary time, objectively measured PA levels (light, moderate, vigorous, and moderate-to-vigorous physical activity (MVPA)), and HRQoL dimensions (physical well-being, emotional well-being, self-esteem, family, friends, school, and total score) in children; and (2) to examine the association between sedentary time, PA levels, and HRQoL in children separately by sex. A total of 459 children (8.4 ± 0.4 years old, 50.54% males) from 15 schools in Granada (Spain) participated in the study. A tri-axial accelerometer was used to measure PA levels in the children for 7 consecutive days. The Revidierter KINDer Lebensqualitätsfragebogen (KINDL-R) questionnaire was used to determine the children’s HRQoL dimensions. The results showed that males presented more minutes engaged in MVPA than females. Both sedentary time and PA levels were associated with self-esteem and total score (all p < 0.05). In males, moderate and vigorous PA levels were associated with higher HRQoL, whereas light PA was associated with higher HRQoL in females. Future studies should take into account the use of activities with difference intensities in order to increase HRQoL in males and females.

scholarly journals The Impact of COVID-19 on Informal Caregivers’ Health Behaviors

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 959-959
Author(s):  
Mary Greaney ◽  
Zachary Kunicki ◽  
Megan Drohan ◽  
Steven Cohen
Keyword(s):  
Health Behaviors ◽  
Fruits And Vegetables ◽  
Sedentary Time ◽  
Vegetable Intake ◽  
Informal Caregivers ◽  
Cost Savings ◽  
Positive Health ◽  
Chi Square ◽  
Unpaid Care ◽  
The Impact

Abstract The population of older adults aged 65+ in the US is projected to increase from 15% to 21% in the next 30 years. Aging in place provides cost-savings and familiarity to the older adult, but often requires informal caregivers. Informal caregivers, individuals who provide unpaid care of assistance to family members and friends may have been uniquely impacted by the COVID-19 pandemic and shelter-at-home orders. Research is needed to examine how the pandemic impacted caregivers’ caregiving responsibilities and health behaviors (e.g., physical activity, sedentary time, fruit and vegetable intake, snacking, etc.) as this information will be invaluable to determine if health promotion interventions are needed for informal caregivers. Self-reported data were gathered from informal caregivers providing care to someone aged 50+ (n=835) through Amazon’s Mechanical Turk. Respondents reported their current and pre-pandemic health behaviors and demographics. Chi-square tests were used to examine bivariate associations between pandemic time (pre vs. post) and each examined behavior. The analysis identified some positive health behavior changes due to the pandemic: caregivers felt since the pandemic they ate more fruits and vegetables (p &lt; .001), walked more, exercised more (p &lt; .001), increased amounts of sleep (p &lt; .001), and higher sleep quality (p &lt; .001). However, respondents also had more screen time (p &lt; .001) and sedentary time (p &lt; .001). Future planned analyses will focus on examining whether these changes were consistent across all sociodemographic subgroups of caregivers and whether they persist after the pandemic recedes.

Social Influence and Health

2015 ◽  
Author(s):  
Leslie R. Martin ◽  
M. Robin DiMatteo
Keyword(s):  
Health Behaviors ◽  
Health Care Providers ◽  
Good Deal ◽  
Educational Interventions ◽  
System Level ◽  
Care Providers ◽  
Positive Health ◽  
Public Health Programs ◽  
Media Messages ◽  
Health Related

Early in the lives of children, parental influences are strong, and interventions targeting parents are essential to behavior change. In adolescence, peers emerge as critical additions to the influence of family members; their influence can support the growth and maintenance of positive health behaviors, or it can encourage unhealthy choices. Social groups continue to feature prominently in various ways throughout adulthood. A crucial role is played by supportive social networks in the improvement and maintenance of a wide variety of health behaviors, and the availability of normative information affects health choices. Health care providers hold a good deal of power in the practitioner–patient relationship and influence their patients toward health outcomes in a variety of ways. Finally, system-level influences such as public health programs, health-related media messages, and educational interventions can help motivate individuals toward ideal health behaviors.

Physical Health Promotion through Modern Technologies

2016 ◽  
pp. 889-907
Author(s):  
Sandul Yasobant
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Health Behaviors ◽  
Physical Health ◽  
Interactive Video ◽  
Future Research ◽  
Positive Health ◽  
Physical Activity Interventions ◽  
Future Research Directions

Health promotion and the maintenance of the quality of life are realized recently. Advancement in technologies offer new possibilities for both the promotion of positive health behaviors that were unimaginable even a decade ago. Though promoting physical activity has been proven an important component of health promotion by many researchers, still a lot of efforts on how to improve physical activity being provided by group of researchers. Technology such as pedometers, accelerometers, and heart rate monitors have been used to promote physical activity for years. Newer technologies such as global positioning system (GPS), geographic information systems (GIS), interactive video games, and persuasive technology, Internet-based physical activity interventions have been used recently to promote and change exercise behavior. This chapter seeks to provide a complete insight of technologies used to changing health behaviors especially physical health promotion and will take a forward to analyses all the issues while using these technologies and future research directions.

scholarly journals Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females

2020 ◽  
Vol 17 (19) ◽  
pp. 7211
Author(s):  
Lauren A. Gardner ◽  
Katrina E. Champion ◽  
Belinda Parmenter ◽  
Lucinda Grummitt ◽  
Cath Chapman ◽  
...  
Keyword(s):  
Behavior Change ◽  
Risk Behavior ◽  
Risk Behaviors ◽  
Screen Time ◽  
Latent Class ◽  
Vegetable Intake ◽  
Vigorous Physical Activity ◽  
Health Behavior Change ◽  
Adolescent Females ◽  
Positive Health

Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol use, and smoking) among adolescent females and whether knowledge of health guidelines was associated with adherence. Adolescent females completed an anonymous online questionnaire (N = 687; Mage = 13.82). Logistic regression assessed the association between knowledge and adherence. A Latent Class Analysis (LCA) and three-step procedure identified risk behavior clusters and their correlates. Despite positive health self-ratings (77% good/very good), most participants reported insufficient moderate-to-vigorous physical activity (MVPA; 89%), vegetable intake (89%), and excessive screen time (63%). Knowledge of guidelines was associated with adherence for MVPA, vegetable intake, sleep, and alcohol abstinence. Three classes emerged: “moderate risk” (76%), “relatively active, healthy eaters” (19%), and “excessive screen users” (5%). These risk-behavior clusters were associated with perceived value of academic achievement and physical wellbeing. Adolescent females commonly perceive they are in good health, despite engaging in unhealthy behaviors. Public health interventions should utilize effective behavior change strategies, adopt a multiple health behavior change approach (MHBC), and be tailored to specific risk profiles and values among females.

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