scholarly journals Determination of the Impact Between Varying Lifestyle Factors and Health Status Concerns Among College-Age Students (P04-100-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Lisa Dalrymple ◽  
Prudence Pollard
Keyword(s):  
Physical Activity ◽  
Health Status ◽  
Health Behavior ◽  
Intervention Program ◽  
Health Concern ◽  
Health Concerns ◽  
College Age ◽  
Funding Sources ◽  
Lifestyle Choices ◽  
The Impact

Abstract Objectives The significance and objective of this study is to (1) investigate the influence current health concerns have on lifestyle choices using self-reporting assessment surveys, and (2) determine the correlation and/or impact between the stated variables on overall health status of college-age students. Methods A Health Behavior Study was conducted by the office of Healthy Campus 2020(R)(HC2020(R)), a campus-wide comprehensive wellness intervention program. IRB approved surveys were disseminated to students, (N = 59), to investigate student's health status, health behavior, possible changes in health status after one-year exposure to HC2020(R) principles, and relationships between health variables and behavior. Coded responses were obtained and analyzed. Results Descriptive analysis and correlation coefficient are used to analyze data responses. Among 14 significant ongoing health concerns listed as options, diabetes ranked highest as a health concern at 34%. Heart disease & stroke (29%), asthma and/or lung disease (24%), and both cancer and obesity at 20% followed, respectively. Consequently, 64% of students indicated they engaged in exercise or physical activity daily, emphasizing their awareness of the importance of physical activity and living a healthy lifestyle. Conclusions Results indicate health concerns among college-age students conducting self-reporting assessment surveys may influence positive lifestyle choices. Seventy-eight % (%) of students who participated in the study, ages 17–20, reported at least 4 of the same concerns of the CDC's top 10 public health problems and leading cause of death in the US. Funding Sources Funding sources for the research conducted through the office of HC2020(R) at Oakwood University was provided by The Department of Education, Title III.

Analyzing the Impact of Healthy Behavior on Weight Change with a Provable Mathematical Model (Preprint)

2020 ◽  
Author(s):  
Ayan Chatterjee ◽  
Ram Bajpai ◽  
Pankaj Khatiwada
Keyword(s):  
Physical Activity ◽  
Mathematical Model ◽  
Health Behavior ◽  
Weight Change ◽  
Simulated Data ◽  
Negative Behavior ◽  
Healthy Behavior ◽  
Healthy Habits ◽  
Lifestyle Diseases ◽  
The Impact

BACKGROUND Lifestyle diseases are the primary cause of death worldwide. The gradual growth of negative behavior in humans due to physical inactivity, unhealthy habit, and improper nutrition expedites lifestyle diseases. In this study, we develop a mathematical model to analyze the impact of regular physical activity, healthy habits, and a proper diet on weight change, targeting obesity as a case study. Followed by, we design an algorithm for the verification of the proposed mathematical model with simulated data of artificial participants. OBJECTIVE This study intends to analyze the effect of healthy behavior (physical activity, healthy habits, and proper dietary pattern) on weight change with a proposed mathematical model and its verification with an algorithm where personalized habits are designed to change dynamically based on the rule. METHODS We developed a weight-change mathematical model as a function of activity, habit, and nutrition with the first law of thermodynamics, basal metabolic rate (BMR), total daily energy expenditure (TDEE), and body-mass-index (BMI) to establish a relationship between health behavior and weight change. Followed by, we verified the model with simulated data. RESULTS The proposed provable mathematical model showed a strong relationship between health behavior and weight change. We verified the mathematical model with the proposed algorithm using simulated data following the necessary constraints. The adoption of BMR and TDEE calculation following Harris-Benedict’s equation has increased the model's accuracy under defined settings. CONCLUSIONS This study helped us understand the impact of healthy behavior on obesity and overweight with numeric implications and the importance of adopting a healthy lifestyle abstaining from negative behavior change.

scholarly journals Health literacy, health status and health behaviors of German students– study protocol for the “Healthy Habits” cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Martin Lange ◽  
Alexandra Löwe ◽  
Gerrit Stassen ◽  
Andrea Schaller
Keyword(s):  
Cohort Study ◽  
Health Status ◽  
Health Literacy ◽  
Health Behavior ◽  
Health Behaviors ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
The State ◽  
The Impact ◽  
Study Format

Abstract Background The emerging adulthood is traditionally viewed as a time of optimal health, but also as a critical life span, characterized by changing life circumstances and the establishment of an individual lifestyle. Especially university life seems to hold several challenges impeding the manifestation of a health supporting manner, as many students tend to show a poorer health behavior and a higher amount of health-related problems than comparable age groups. This, along with a steady growth of the higher education sector, brings increased attention to the university setting in the context of prevention. To date, there are few empirical longitudinal and coherent cross-sectional data on the status of students’ health literacy, health status, and health behaviors, and on the impact of the study format on students’ health. The aim of this prospective cohort study is to reduce this research gap. Methods Starting during winter semester 2020/21, the prospective cohort study collects data on health literacy, health status and health behavior on a semester-by-semester basis. All enrolled students of the IST University of Applied Sciences, regardless of study format and discipline, can participate in the study at the beginning of their first semester. The data are collected digitally via a specifically programmed app. A total of 103 items assess the subjectively perceived health status, life and study satisfaction, sleep quality, perceived stress, physical activity, diet, smoking, alcohol consumption, drug addiction and health literacy. Statistical analysis uses (1) multivariate methods to look at changes within the three health dimensions over time and (2) the association between the three health dimensions using multiple regression methods and correlations. Discussion This cohort study collects comprehensive health data from students on the course of study. It is assumed that gathered data will provide information on how the state of health develops over the study period. Also, different degrees of correlations of health behavior and health literacy will reveal different impacts on the state of students’ health. Furthermore, this study will contribute to empirically justified development of target group-specific interventions. Trial registration German Clinical Trials Register: DRKS00023397 (registered on October 26, 2020).

Parent-reported health status of preterm survivors in a Canadian cohort

2021 ◽  
pp. fetalneonatal-2021-321635
Author(s):  
Satvinder Ghotra ◽  
David Feeny ◽  
Ronald Barr ◽  
Junmin Yang ◽  
Saroj Saigal ◽  
...  
Keyword(s):  
Health Status ◽  
Age Groups ◽  
Severity Of Illness ◽  
Preschool Age ◽  
Health Concern ◽  
Health Concerns ◽  
Related Quality ◽  
National Cohort ◽  
Reported Health ◽  
Prospective Longitudinal

ObjectivesHealth status (HS)/ health-related quality of life measures, completed by self or proxy, are important outcome indicators. Most HS literature on children born preterm includes adolescents and adults with limited data at preschool age. This study aimed to describe parent-reported HS in a large national cohort of extreme preterm children at preschool age and to identify clinical and sociodemographic variables associated with HS.MethodsInfants born before 29 weeks’ gestation between 2009 and 2011 were enrolled in a prospective longitudinal national cohort study through the Canadian Neonatal Network (CNN) and the Canadian Neonatal Follow-Up Network (CNFUN). HS, at 36 months’ corrected age (CA), was measured with the Health Status Classification System for Pre-School Children tool completed by parents. Information about HS predictors was extracted from the CNN and CNFUN databases.ResultsOf 811 children included, there were 79, 309 and 423 participants in 23–24, 25–26 and 27–28 weeks’ gestational age groups, respectively. At 36 months’ CA, 78% had a parent-reported health concern, mild in >50% and severe in 7%. Most affected HS attributes were speech (52.1%) and self-care (41.4%). Independent predictors of HS included substance use during pregnancy, infant male sex, Score for Neonatal Acute Physiology-II, bronchopulmonary dysplasia, severe retinopathy of prematurity, caregiver employment and single caregiver.ConclusionMost parents expressed no or mild health concerns for their children at 36 months’ CA. Factors associated with health concerns included initial severity of illness, complications of prematurity and social factors.

scholarly journals Demographics and Health Behavior of Video Game and eSports Players in Germany: The eSports Study 2019

2020 ◽  
Vol 17 (6) ◽  
pp. 1870 ◽  
Author(s):  
Kevin Rudolf ◽  
Peter Bickmann ◽  
Ingo Froböse ◽  
Chuck Tholl ◽  
Konstantin Wechsler ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Status ◽  
Health Behavior ◽  
Video Game ◽  
Vegetable Consumption ◽  
Vigorous Physical Activity ◽  
Negative Association ◽  
Target Group ◽  
Game Play ◽  
Video Game Play

The number of video game and eSports players is steadily rising. Since little is known about their health behavior to date, the present study examines the demographics and health behavior of video game and eSports players. In this cross-sectional study, data on demographics, health status, physical activity, nutrition, sleep, and video game usage were assessed via a web-based survey of n = 1066 players (91.9% male; 22.9 ± 5.9 years; body mass index (BMI): 24.6 ± 4.8 kg/m²) in Germany in 2018. The majority of respondents (95%) reported a good to excellent health status. Two thirds (66.9%) engaged in moderate to vigorous physical activity for more than 2.5 h/week. The average duration of sitting and sleep time was 7.7 ± 3.6 h/day and 7.1 ± 1.3 h/day, respectively. Mean fruit and vegetable consumption was 2.7 ± 1.8 portions/day. Video games were played for 24.4 ± 15.9 h/week on average. Partial Spearman correlations revealed poor positive associations of video game play time to sedentary behavior (rho = 0.15; p < 0.01) and BMI (rho = 0.11; p < 0.01), as well as a poor negative association to self-reported health status (rho = −0.14; p < 0.01). These results indicate the good subjective health of this target group. Nevertheless, the high amount of video game play time and its poor negative association to health status indicate a need for specific health promotion strategies for this target group.

Habitual and Low-Intensity Physical Activity in People with Multiple Sclerosis

2016 ◽  
Vol 17 (1) ◽  
pp. 77-86 ◽  
Author(s):  
Hannah L. Gullo ◽  
Anna L. Hatton ◽  
Sally Bennett ◽  
Jennifer Fleming ◽  
David H. K. Shum
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Health Status ◽  
Activity Level ◽  
Low Intensity ◽  
Habitual Activity ◽  
Intensity Physical Activity ◽  
Insufficient Physical Activity ◽  
Potential Benefits ◽  
The Impact

People with Multiple Sclerosis (MS) undertake insufficient physical activity based on current guidelines. Recent work points to the benefits of increasing the amount of time spent in all non-sedentary physical activity. The current study sought to explore the potential benefits to community participation, as well as examine factors predictive, of engagement in ‘habitual’ and/or low-intensity physical activity. Seventy-four people with MS were compared to 67 healthy controls using the Frenchay Activities Index (FAI). Findings revealed differences in habitual activity level (p < .001), and low-intensity physical activity (p < .001), with people with MS having a lower level of engagement than healthy people. After controlling for the impact of MS on mobility, years since symptom onset, physical fatigue and reduced positive affect were the most significant predictors of engagement in ‘at least weekly’ low-intensity physical activity. Higher frequency of low-intensity physical activity was significantly associated with greater home, social and occupational participation (all p < .05), and physical health status (p < .01), but not mental health status (p = .964) in people with MS. Results suggest that improving habitual activity level and engagement in low-intensity physical activity may be of benefit for people with MS.

scholarly journals Promoting Healthy Eating and Physical Activity Behaviors: A Systematic Review of Multiple Health Behavior Change Interventions Among Cancer Survivors

2016 ◽  
Vol 12 (3) ◽  
pp. 184-199 ◽  
Author(s):  
Steve Amireault ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Healthy Eating ◽  
Health Behavior Change ◽  
Cochrane Library ◽  
Multiple Health Behavior Change ◽  
The Impact ◽  
Multiple Health

Multiple health behavior change (MHBC) interventions have great potential for enhancing health and well-being following cancer diagnosis and treatment. However, the characteristics and effects of MHBC interventions remain elusive for cancer survivors. The main purpose of this study was to evaluate the effectiveness of MHBC interventions on healthy eating and physical activity behaviors among cancer survivors. A secondary aim was to examine the effect of using a simultaneous and sequential design approach to MHBC (ie, changing both behaviors at the same time or one after the other). Randomized controlled trials reporting the impact of a MHBC intervention on both healthy eating and physical activity behaviors among cancer survivors were retrieved from MEDLINE, Cochrane Library, and PsycINFO. A total of 27 MHBC interventions were identified; most (92.6%) were designed to promote simultaneous change in both behaviors and assessed end-of-treatment effect among breast cancer survivors. MHBC interventions led by nurses or multidisciplinary teams showed the most compelling evidence for small to moderate improvement in both behaviors, with interventions that lasted ≥17 weeks more likely to improve both behaviors. This study identifies research priorities and provides preliminary evidence for clinical decision making and advancements in MHBC intervention design and delivery for clinical oncology.

scholarly journals The Use of an Online Tennis Learning Platform for Sedentary Adults

GYMNASIUM ◽  
2020 ◽  
Vol XXI (2) ◽  
pp. 101
Author(s):  
Radu Tiberiu Șerban ◽  
Iacob Hanțiu
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Intervention Program ◽  
Leisure Time Physical Activity ◽  
Physical Activity Program ◽  
Recreational Physical Activity ◽  
Learning Platform ◽  
Activity Program ◽  
The Impact ◽  
Web Platform

The purpose of this research was to analyse the impact of a web platform as a result of its use to support a leisure-time physical activity program based on the organized practice oftennis. The hypothesis of this research is based on the assumption that the use of a web platform for a recreational physical activity program, in particular a tennis one, will havebeneficial effects on the effectiveness of learning the game technique. The research was carried out on a sample of 47 volunteer subjects, all of them working in a sedentaryenvironment. The subjects of the study were divided into 3 groups, the intervention program consisted of 90-minute tennis training sessions, twice a week, for 4 months. Thestatistical analysis of the data was accomplished by using the IBM SPSS Statistics 20 program. At the end of the study, could be observed in total technical score, staticforehand, dynamic forehand, static backhand, dynamic backhand and serve score.

Obesity

2011 ◽  
Author(s):  
R. Mark Beattie ◽  
Anil Dhawan ◽  
John W.L. Puntis
Keyword(s):  
Physical Activity ◽  
Middle Age ◽  
Premature Death ◽  
Health Concern ◽  
Childhood And Adolescence ◽  
Public Health Concern ◽  
Lifestyle Choices ◽  
Healthy Diets ◽  
Prevalence Of Obesity ◽  
Genetically Determined

Definitions 150Epidemiology 150Evaluation 151Treatment 152Complications 153Weight gain in an individual is the result of an energy intake from food in excess of energy expenditure. Unhealthy diets and lack of physical activity are considered to be the leading causes of avoidable illness and premature death in Europe, and the rising prevalence of obesity is a major public health concern. There is a strong tendency for excess weight to continue to accumulate from childhood through to middle age. While 40–70% of the variation in fat mass between individuals may be genetically determined, environmental factors remain crucial. Important lifestyle choices predetermining health risks in adulthood are made during childhood and adolescence. Schools must come to play a key role in promoting healthy diets and enjoyment of physical activity....

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