scholarly journals Health behaviors and health risk awareness in Japanese and English students

2005 ◽  
Vol 18 (2) ◽  
pp. 1-15
Author(s):  
Akira Tsuda ◽  
Kaori Nagatomi ◽  
Yoshiyuki Tanaka ◽  
Hisayoshi Okamura ◽  
Jumpei Yajima ◽  
...  
Author(s):  
Kristin Thomas ◽  
Evalill Nilsson ◽  
Karin Festin ◽  
Pontus Henriksson ◽  
Mats Lowén ◽  
...  

Background: The health behaviors smoking, risky alcohol consumption, insufficient physical activity, and poor diet constitute the main contributors to non-communicable diseases. Clustering of risk behaviors is common and increases the risk of these diseases. Despite health benefits, it is difficult to change health behaviors. Psychosocial factors could play a role in health behavior change, with research showing relationships between unfavorable psychosocial factors and health risk behaviors. However, many studies only investigated one or two health behaviors at a time. The present study, therefore, aimed to investigate associations between a broad range of psychosocial factors and multiple health risk behaviors in a general middle-aged population in Sweden. Methods: A cross-sectional design was used to investigate a random sample from the general population in Sweden (n = 1007, 45–69 years, 50% women). Questionnaire data on health behaviors (smoking, alcohol consumption, physical activity, and fruit/vegetable intake) and psychosocial factors, with both psychological and social resources (social integration, emotional support, perceived control, self-esteem, sense of coherence and trust) and psychological risk factors (cynicism, vital exhaustion, hopelessness and depressiveness), were analyzed. Logistic and ordinal logistic regression were used to analyze associations between psychosocial factors and multiple (0–1, 2 or 3–4) health risk behaviors. Results: A total of 50% of the sample had two health risk behaviors and 18% had three health risk behaviors. After adjusting for age, sex, education, employment status, and immigrant status, eight out of 10 psychosocial factors (exceptions: social integration and self-esteem) showed significant odds ratios (ORs) in the expected directions; low levels of psychosocial resources and high levels of psychosocial risk factors were associated with multiple risk behaviors. The strongest associations with multiple risk behaviors were seen for vital exhaustion (adjusted (adj.) OR 1.28; confidence interval (CI) 1.11–1.46), depressiveness (adj. OR 1.32, CI 1.14–1.52), and trust (adj. OR 0.80, CI 0.70–0.91). When controlling for all psychosocial factors in the same model, only the association with trust remained statistically significant (adj. OR 0.89, CI 0.73–1.00, p = 0.050). Associations with individual health behaviors were fewer and scattered, with no psychosocial factor being related to all four behaviors. Conclusions: Examining associations between a broad range of psychosocial factors and multiple health risk behaviors revealed consistent and significant associations for almost all psychosocial factors. These associations were stronger compared to associations to single health risk behaviors. Our findings support the relevance of considering psychosocial aspects in interventions aimed at health behavior change, especially for people with multiple health risk behaviors.


2012 ◽  
Vol 17 (5) ◽  
pp. 385-393 ◽  
Author(s):  
Yuhui Shi ◽  
Ying Ji ◽  
Jing Sun ◽  
Yanling Wang ◽  
Xinying Sun ◽  
...  

2019 ◽  
Vol 34 (1) ◽  
pp. 95-97 ◽  
Author(s):  
Sue Anne Bell ◽  
HwaJung Choi ◽  
Kenneth M. Langa ◽  
Theodore J. Iwashyna

AbstractObjectiveThe aim of this study was to examine the extent to which an exposure to disaster is associated with change in health behaviors.MethodsFederal disaster declarations were matched at the county-level to self-reported behaviors for participants in the Health and Retirement Study (HRS), 2000-2014. Multivariable logistic regression was used to evaluate the relationship between disaster and change in physical activity, body mass index (BMI), and cigarette smoking.ResultsThe sample included 20,671 individuals and 59,450 interviews; 1,451 unique disasters were declared in counties in which HRS respondents lived during the study period. Exposure to disaster was significantly associated with weight gain (unadjusted RRR=1.19; 95% CI, 1.11-1.27; adjusted RRR=1.21; 95% CI, 1.13-1.30). Vigorous physical activity was significantly lower among those who had experienced a disaster compared to those who had not (unadjusted OR=0.89; 95% CI, 0.84-0.95; adjusted OR=0.84; 95% CI, 0.79-0.89). No significant difference in cigarette smoking was found.ConclusionsThis study found an increase in weight gain and decrease in physical activity among older adults after disaster exposure. Adverse health behaviors such as these can contribute to functional decline among older adults.BellSA, ChoiH, LangaKM, IwashynaTJ. Health risk behaviors after disaster exposure among older adults. Prehosp Disaster Med. 2019;34(1):95–97.


2014 ◽  
Vol 9 (4) ◽  
pp. 343-357 ◽  
Author(s):  
Michael R. Richards ◽  
Joachim Marti

AbstractAn existing literature demonstrates that adverse changes to health can lead to improvements in health behaviors. Although the exact explanations for these empirical findings are debated, some posit that individuals learn about their true health risks through health shocks. Updated health risk information can then induce changes in health behaviors. While we follow a learning framework, we argue that past work has neglected the role of health insurance and medically related financial risk within this decision making context. Using longitudinal data from 11 European countries, we investigate the impact of a new cardiovascular (CV) health shock on smoking decisions among older adults and examine whether personal exposure to medical spending risk influences the smoking response. We then explore two potential mechanisms for this link: larger updates to health risk beliefs and higher medical expenditures to incentivize behavior change. We find that CV shocks impact the propensity to smoke, with relatively more impact among individuals with high financial risk exposure to medical spending. We also see larger increases in out-of-pocket expenditures following a shock for this group – consistent with the latter mechanism for behavior change.


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