Health-risk behaviors and a healthy lifestyle among students from different environmental and cultural backgrounds

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Liat Korn ◽  
Miriam Billig
Keyword(s):  
Health Risk ◽  
Risk Behaviors ◽  
Undergraduate Students ◽  
Healthy Lifestyle ◽  
Decisive Role ◽  
Health Risk Behaviors ◽  
Cross Sectional Study ◽  
Cultural Backgrounds ◽  
Cross Sectional ◽  
Risky Lifestyles

AbstractThe purpose of this study is to examine the differences in health-risk behavior patterns and lifestyles between students residing in the city of Ariel and those residing in communal settlements within the Ariel region. Our research rational is that significant differences can be found between these two groups regarding environmental, cultural and behavioral conditions, which promote healthy or risky lifestyles.This cross-sectional study is based on an anonymous structured self-reported questionnaire that deals with topics of health, welfare and health-risk behaviors, completed by over 1500 undergraduate students.The findings indicate meaningful and significant differences between the groups, both in their socio-demographic levels and in their health and risk behaviors. Students residing in Ariel maintained a better lifestyle, which included a sensible diet and physical activity routine, compared with students from communal settlements and those who reside in other areas of the country.The findings indicate that cultural differences play a decisive role in predicting health and risk behaviors, more so than the residential area itself.

Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study

2018 ◽  
Vol 08 (04) ◽  
pp. 231-235
Author(s):  
Shireen Jawed ◽  
Sundus Tariq ◽  
Zehra Jamil ◽  
Rabiya Ali ◽  
Rehana Rehman
Keyword(s):  
Medical Students ◽  
Health Risk ◽  
Risk Behaviors ◽  
Life Style ◽  
Health Risk Behaviors ◽  
Cross Sectional Study ◽  
P Value ◽  
Positive Health ◽  
Cross Sectional ◽  
Handling Practices

Objective: A health risk behavior like physical inactivity, unhealthy diet, tobacco use, drug abuse, unprotected sexual practices or harmful use of alcohol is linked with serious ailments like liver cirrhosis, hypertension, abnormal lipid profile and number of cardiovascular diseases. Our study is aimed to explore perception of students about health risk behaviors; eating routines, life style and stress handling practices and compare amongst medical students of first and second year. Subjects and Methods: In this cross-sectional study, 233 female students between 1 8–25 years of age, from first two years of medical college were administered a self-structured questionnaire Response of each item was rated on five-point Likert scale. Maximum points in the scale were five and the minimum was one for each item. Mean score was obtained by adding points of all responses. Degree of health awareness was categorized into low, medium and high on the basis of mean cumulative scores. Independent sample t test was used to compare means between study groups based on academic level (Year I and II medical students) Results: The overall results of the study revealed positive health behaviors among medical students. Year I MBBS had superior acquaintance on healthy eating routines (p-value = 0.001), lifestyle patterns (p-value = 0.002), and stress handling practices (p-value < 0.001) as compared to senior class. Tendency to have anxiety attacks was more in 1st year students (p-value=0.002) while capability to withstand stress was better in senior class (p-value=0.004). Conclusion: Majority of medical students practiced positive health behaviors. These attitudes in terms of selection of life style choices; healthy food and physical activity with avoidance of health risk behaviors and supportive practices was better in Year I students.

scholarly journals Self-rated physical health, health-risk behaviors, and disparities: A cross-sectional study of youth in the slums of kampala, Uganda

2021 ◽  
pp. 1-15
Author(s):  
Annabel Q. Patterson ◽  
Rachel E. Culbreth ◽  
Rogers Kasirye ◽  
Senait Kebede ◽  
Jackson Bitarabeho ◽  
...  
Keyword(s):  
Health Risk ◽  
Physical Health ◽  
Risk Behaviors ◽  
Health Risk Behaviors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals ASSOCIATION BETWEEN PHYSICAL ACTIVITY PRACTICE AND CLUSTERING OF HEALTH RISK BEHAVIORS IN ADOLESCENTS

2020 ◽  
Vol 38 ◽  
Author(s):  
Michael Pereira da Silva ◽  
Ana Beatriz Pacífico ◽  
Thiago Silva Piola ◽  
Edmar Roberto Fantinelli ◽  
Edina Maria de Camargo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Health Risk ◽  
Risk Behaviors ◽  
Multinomial Logistic Regression ◽  
Health Risk Behaviors ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Lower Odds ◽  
High Participation

ABSTRACT Objective: To verify the association between participation in physical activity (PA) and the clustering of health risk behaviors (HRB) in adolescents of both genders. Methods: A cross-sectional study involving 862 adolescents (11 to 17 years old) enrolled in 14 randomly selected public schools from Curitiba, Paraná, Brazil. Participation in PA, screen time, consumption of fruit, vegetables, cigarettes and alcoholic beverages were the criteria evaluated. Multinomial logistic regression tested the association between participation in PA and clustering of HRB, and results are expressed Odds Ratio (OR) with 95% confidence intervals (95%CI). Results: Adolescents with high participation in PA had lower odds of clustering 2-3 HRB (OR 0.38, 95%CI 0.21-0.68; p<0.01) and 4-5 HRB (OR 0.29; 95%IC 0.16-0.53; p<0.01). Boys with high participation in PA had lower chances of clustering 2-3 HRB (OR 0.31, 95%CI 0.13-0.75; p=0.01), and girls had lower odds of clustering 2-3 HRB (OR 0.41; 95%CI 0.17-0.99; p=0.04) and 4-5 HRB (OR 0.25; 95%CI 0.10-0.61; p<0.01). Conclusions: High participation in PA was inversely associated with the clustering of HRB in adolescents.

scholarly journals HEALTH RISK BEHAVIOR OF ADOLESCENT SCHOLARS

2016 ◽  
Vol 25 (4) ◽  
Author(s):  
Franck Nei Monteiro Barbosa ◽  
Cezar Augusto Casotti ◽  
Adriana Alves Nery
Keyword(s):  
Public Schools ◽  
Health Risk ◽  
Risk Behaviors ◽  
Dietary Habits ◽  
Tobacco Consumption ◽  
Health Risk Behaviors ◽  
Population Based ◽  
Simple Random Sample ◽  
Cross Sectional ◽  
Significance Level

ABSTRACT The aim of this study was to describe health risk behaviors among adolescents from secondary education in public schools in a city in Brazilian Northeast. Epidemiological cross-sectional, population-based study with a simple random sample. For the data, we used structured validated questionnaires. For data analysis, we used the chi-square Pearson test, with significance level of 5%. It has been found that physical inactivity is associated with the sex, age and studying shift. Tobacco consumption is significantly associated with sex, age, shift studying and alcohol consumption shift to studying, and age. As for poor dietary habits, consumption of fried foods is associated with shift in studying and sweets and sodas to shift on studying and age. Found a high prevalence of risk behaviors among adolescents, focused on policies needed health of this population.

scholarly journals Stress and health risk behaviors among university students

2020 ◽  
Vol 73 (1) ◽  
Author(s):  
Ellaine Santana de Oliveira ◽  
Antonia Fabiana Rodrigues da Silva ◽  
Kadija Cristina Barbosa da Silva ◽  
Tatiana Victória Carneiro Moura ◽  
Açucena Leal de Araújo ◽  
...  
Keyword(s):  
University Students ◽  
Health Risk ◽  
Sleep Quality ◽  
Risk Behaviors ◽  
Sleep Disturbances ◽  
Health Risk Behaviors ◽  
Poor Sleep ◽  
Stress Profile ◽  
Poor Sleep Quality ◽  
Cross Sectional

ABSTRACT Objective: To analyze the level of stress and its relationship with health risk behaviors among university students. Method: Cross-sectional analytical study carried out at a higher education institution in Picos-PI. A total of 377 students were evaluated for socio-demographic and academic variables, stress profile, sleep quality, alcohol use, smoking habits and level of physical activity. The Statistical Package for the Social Sciences (SPSS), version 20.0 was used for data processing and analysis. Results: Sleep quality was poor for 65.3% of the subjects, and sleep disturbances were found in 17.0%. Stress was observed in 68.7% of the sample. Stress was associated with the following variables: gender, time in the institution, poor sleep quality. Conclusion: Most of the students evaluated present some level of stress associated with poor sleep quality, which is a risk to the quality of life of these individuals.

scholarly journals Sociodemographic Disadvantage, Living With a Smoker, and Health Risk Behaviors in Middle-Aged and Older Women

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 337-338
Author(s):  
Carole Holahan ◽  
Charles Holahan ◽  
Sangdon Lim ◽  
Yen Chen ◽  
Daniel Powers
Keyword(s):  
Health Risk ◽  
Risk Behaviors ◽  
Low Income ◽  
Indirect Effects ◽  
Fruits And Vegetables ◽  
Smoking Status ◽  
Health Risk Behaviors ◽  
Unhealthy Lifestyle ◽  
Cross Sectional

Abstract Sociodemographic disadvantage places individuals at risk for an unhealthy lifestyle (Kushi et al., 2012; Shanker et al., 2010), as well as for exposure to second-hand household smoke (Gan et al., 2015; Zhang et al., 2012). However, the role of living with a smoker in the association between sociodemographic status and health behavior is unstudied. This study investigated the role of living with a smoker in partially explaining the link between sociodemographic disadvantage and physical inactivity and poor dietary behaviors. The study used limited access data from the Women’s Health Initiative Observational Study obtained from NHLBI. Participants were 83,597 women ranging in age from 49 to 81; 6038 participants lived with a smoker. Cross-sectional logistic regression analyses examined paths in the models; bias-corrected bootstrapped confidence intervals tested indirect effects in probit analyses. Analyses controlled for age, ethnicity, marital status, and participants’ current smoking status. Results demonstrated a significant association (p &lt; .001) between sociodemographic disadvantage (composite of low education and low income) and living with a smoker (OR = 1.74). The unstandardized indirect effects (CIs are in brackets) from sociodemographic disadvantage through living with a smoker to no exercise, no walking, high percent dietary fat, and low servings of fruits and vegetables through living with a smoker were statistically significant (.023 [.019, .028], .026 [.023, .033], .041 [.037, .047], and .032 [.027, .036], respectively). These findings illustrate the need to address multiple non-smoking health risk behaviors in household smoking interventions for disadvantaged families. This project was supported by the NIH/NCI (R03CA215947).

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