Medical Drama Viewing and Healthy Lifestyle Behaviors: Understanding the Role of Health Locus of Control Beliefs and Education Level

2017 ◽  
Vol 34 (4) ◽  
pp. 392-401 ◽  
Author(s):  
Sungsu Kim ◽  
Young Min Baek
Keyword(s):  
Locus Of Control ◽  
Healthy Lifestyle ◽  
Health Locus Of Control ◽  
Education Level ◽  
Control Beliefs ◽  
Lifestyle Behaviors ◽  
Healthy Lifestyle Behaviors ◽  
Medical Drama

scholarly journals The association of healthy lifestyle behaviors with mental health indicators among adolescents of different family affluence

2019 ◽  
Author(s):  
Laura Maenhout ◽  
Carmen Peuters ◽  
Greet Cardon ◽  
Geert Crombez ◽  
Ann DeSmet
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Healthy Lifestyle ◽  
Health Problems ◽  
Lifestyle Behaviors ◽  
Family Affluence ◽  
Stress Symptoms ◽  
Healthy Lifestyle Behaviors ◽  
Low Levels

Abstract Background Healthy lifestyles may contribute to better mental health, which is particularly important in adolescence, an age at which half of all mental health problems first occur. This association may be even more relevant in adolescents of low family affluence, who show more mental health problems, as well as more unhealthy lifestyles. This study investigated the healthy lifestyle behaviors, namely sufficient sleep and physical activity, daily breakfast intake, low levels of alcohol use or smoking, in relation to mental health and mental health problems (feelings of depression, anxiety, stress and self-esteem) among adolescents from different family affluence. Furthermore, the moderating role of family affluence was examined in those relations.Methods Adolescents aged 12-18y were recruited via a random sample of schools. A total of 1037 adolescents participated (M age=15.2, 49.8% female). Multiple linear regression analyses assessed the association between healthy lifestyles and mental health outcomes and the moderating role of family affluence.Results All healthy lifestyle behaviors were associated with at least one mental health outcome. Adolescents from low-medium family affluence had lower levels of physical activity, less often took breakfast, and reported lower self-esteem than adolescents from high family affluence. The results only showed a moderating effect of family affluence for smoking in relation to stress: at low levels of smoking, high family affluence youngsters experienced more stress symptoms than low-medium family affluence youth. At high levels of smoking, low-medium family affluence youth, however, experienced more stress symptoms than high family affluence youth.Conclusion These findings support the value of integrating healthy lifestyle behaviors in interventions for mental health promotion, for both youth of low-medium and high family affluence.

Role of health locus of control beliefs in cancer screening of elderly Hispanic women.

1993 ◽  
Vol 12 (3) ◽  
pp. 193-199 ◽  
Author(s):  
Nancy I. Bundek ◽  
Gary Marks ◽  
Jean L. Richardson
Keyword(s):  
Cancer Screening ◽  
Locus Of Control ◽  
Health Locus Of Control ◽  
Hispanic Women ◽  
Control Beliefs

Abstract P211: Impact of Healthy Lifestyle Behaviors and Education Level on Cardiovascular Mortality: The Japan Collaborative Cohort Study

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Eri Eguchi ◽  
Hiroyasu Iso ◽  
Kaori Honjo ◽  
Akiko Tamakoshi
Keyword(s):  
Higher Education ◽  
Cardiovascular Mortality ◽  
Healthy Lifestyle ◽  
Population Attributable Fraction ◽  
Reference Population ◽  
Education Level ◽  
Healthy Lifestyles ◽  
Lifestyle Behaviors ◽  
Healthy Lifestyle Behaviors ◽  
Lower Education

Introduction: Magnitude of impact of healthy lifestyle behaviors and education level on cardiovascular mortality is uncertain. Hypothesis: Impact of education on cardiovascular mortality is explained mostly by lifestyle behaviors Methods: The survey cohort was a total of 42,647 subjects (18,442 men and 24,205 women) aged 40-79 years with satisfactory information from 1988 to 1990, and followed up until the end of 2009. Education levels were sub-grouped into higher education (last school age of ≥16 years old) and lower education (<16). We defined the healthy lifestyle score (fruits ≥1/day, fish ≥1/day, milk almost every day, exercise ≥5h/week and/or walking ≥0.5h/day, BMI 21-25kg/m2, ethanol intake <46.0g/day, non-smoker, and sleep 5.5-7.5h/day, ranging 0 to 8), and calculated multivariable hazard ratios (HRs) and 95% confidence intervals (95% CIs) to determine the magnitude of impacts of healthy lifestyle behaviors and education level on cardiovascular mortality with persons who have lower education and 0-3 lifestyle score category as reference. Population attributable fraction (PAF) of lifestyle behaviors on cardiovascular mortality stratified by education level were also calculated. Results: During the 19.3 median years of follow-up, there were 8,314 total deaths and 2,377 CVD deaths. Compared with persons with lower education and 0-3 healthy lifestyle score category, those with lower education and 7-8 healthy lifestyles score category and those with higher education and 7-8 healthy lifestyle score category showed lower risk of mortality from total CVD. The respective multivariable-adjusted HRs (95% CI) were 0.37 (0.28-0.48) for those with lower education and 7-8 lifestyle score category, and 0.37 (0.30-0.46) for those with higher education and 7-8 lifestyle score category in total men and women, 0.25 (0.14-0.44) and 0.43 (0.31-0.59), respectively, for men, and 0.43 (0.31-0.60) and 0.36 (0.27-0.49), respectively, for women. PAF of CVD mortality for those who were not in the category of 7-8 lifestyle behavior were 40.1% in higher education group and 68.5% in lower education. Conclusions: More than 50% of risk reduction of cardiovascular mortality for those who have 7-8 healthy lifestyle score category compared to those who have 0-3 healthy lifestyles were found irrespective of education level which suggests large part of impact of education on cardiovascular mortality is explained by lifestyle behaviors.

scholarly journals The association of healthy lifestyle behaviors with mental health indicators among adolescents of different family affluence

2020 ◽  
Author(s):  
Laura Maenhout ◽  
Carmen Peuters ◽  
Greet Cardon ◽  
Sofie Compernolle New ◽  
Geert Crombez ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Healthy Lifestyle ◽  
Health Indicators ◽  
Health Problems ◽  
Lifestyle Behaviors ◽  
Family Affluence ◽  
Healthy Lifestyle Behaviors ◽  
Moderating Role

Abstract Background Healthy lifestyles may contribute to better mental health, which is particularly important in adolescence, an age at which half of all mental health problems first occur. This association may be even more relevant in adolescents of low family affluence, who show more mental health problems, as well as more unhealthy lifestyles. This study investigated healthy lifestyle behaviors, namely sufficient sleep and physical activity, daily breakfast intake, low levels of alcohol use or smoking, in relation to mental health and symptoms of mental health problems (feelings of depression, anxiety, stress and self-esteem) among adolescents from different family affluence. Furthermore, the moderating role of family affluence was examined in those relations. Methods Adolescents aged 12-18y were recruited via a random sample of schools in Flanders, Belgium. A total of 1037 adolescents participated (M age=15.2, 49.8% female). Independent samples t-tests, Mann Whitney U-tests and χ²-tests determined the differences in healthy lifestyle behaviors and mental health indicators between adolescents of low-medium and high family affluence. Regression analyses assessed the association between healthy lifestyles and mental health outcomes and the moderating role of family affluence. Results All healthy lifestyle behaviors were associated with at least one mental health outcome, with the exception of alcohol consumption. Adolescents from low-medium family affluence had lower levels of physical activity, less often took breakfast, had lower levels of alcohol consumption and reported lower self-esteem than adolescents from high family affluence. The results showed no moderating effect of family affluence for the association between healthy lifestyle and mental health . Conclusion These findings support the value of integrating healthy lifestyle behaviors in interventions for mental health promotion, for both youth of low-medium and high family affluence.

scholarly journals Workplace Healthy Lifestyle Determinants and Wellbeing Needs across the Preconception and Pregnancy Periods: A Qualitative Study Informed by the COM-B Model

2021 ◽  
Vol 18 (8) ◽  
pp. 4154
Author(s):  
Seonad K. Madden ◽  
Claire A. Blewitt ◽  
Kiran D. K. Ahuja ◽  
Helen Skouteris ◽  
Cate M. Bailey ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Intervention Development ◽  
Health Behavior Change ◽  
Overweight And Obesity ◽  
Specific Reference ◽  
Lifestyle Behaviors ◽  
Policy Makers ◽  
Health And Wellbeing ◽  
Healthy Lifestyle Behaviors ◽  
And Control

Overweight and obesity present health risks for mothers and their children. Reaching women during the key life stages of preconception and pregnancy in community settings, such as workplaces, is an ideal opportunity to enable health behavior change. We conducted five focus groups with 25 women aged between 25 and 62 years in order to investigate the determinants of healthy lifestyle behaviors, weight management, and wellbeing needs during the preconception and pregnancy periods in an Australian university workplace. Discussions explored women’s health and wellbeing needs with specific reference to workplace impact. An abductive analytical approach incorporated the capability, opportunity, and motivation of behavior (COM-B) model, and four themes were identified: hierarchy of needs and values, social interactions, a support scaffold, and control. Findings highlight the requirement for greater organization-level support, including top-down coordination of wellbeing opportunities and facilitation of education and support for preconception healthy lifestyle behaviors in the workplace. Interventionists and organizational policy makers could incorporate these higher-level changes into workplace processes and intervention development, which may increase intervention capacity for success.

scholarly journals Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey

2021 ◽  
Vol 18 (8) ◽  
pp. 4364
Author(s):  
Xiaotao Zhang ◽  
Abiodun Oluyomi ◽  
LeChauncy Woodard ◽  
Syed Ahsan Raza ◽  
Maral Adel Fahmideh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Online Survey ◽  
Healthy Lifestyle ◽  
The United States ◽  
Lifestyle Changes ◽  
Lifestyle Behaviors ◽  
Individual Level ◽  
Diet And Physical Activity ◽  
Healthy Lifestyle Behaviors

This study examined individual-level determinants of self-reported changes in healthy (diet and physical activity) and addictive (alcohol use, smoking, and vaping) lifestyle behaviors during the initial COVID-19 lockdown period in the USA. A national online survey was administered between May and June 2020 that targeted a representative U.S. sample and yielded data from 1276 respondents, including 58% male and 50% racial/ethnic minorities. We used univariate and multivariable linear regression models to examine the associations of sociodemographic, mental health, and behavioral determinants with self-reported changes in lifestyle behaviors. Some study participants reported increases in healthy lifestyle behaviors since the pandemic (i.e., 36% increased healthy eating behaviors, and 33% increased physical activity). However, they also reported increases in addictive lifestyle behaviors including alcohol use (40%), tobacco use (41%), and vaping (46%). With regard to individual-level determinants, individuals who reported adhering to social distancing guidelines were also more likely to report increases in healthy lifestyle behaviors (β = 0.12, 95% CI 0.04 to 0.21). Conversely, women (β = −0.37, 95% CI −0.62 to −0.12), and unemployed individuals (β = −0.33, 95% CI −0.64 to −0.02) were less likely to report increases in healthy lifestyle behaviors. In addition, individuals reporting anxiety were more likely to report increases in addictive behaviors (β = 0.26, 95% CI 0.09 to 0.43). Taken together, these findings suggest that women and unemployed individuals may benefit from interventions targeting diet and physical activity, and that individuals reporting anxiety may benefit from interventions targeting smoking and alcohol cessation to address lifestyle changes during the pandemic.

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