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

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
L. Maenhout ◽  
C. Peuters ◽  
G. Cardon ◽  
S. Compernolle ◽  
G. Crombez ◽  
...  
Keyword(s):  
Mental Health ◽  
Healthy Lifestyle ◽  
Health Indicators ◽  
Lifestyle Behaviors ◽  
Family Affluence ◽  
Healthy 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 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.

scholarly journals Predicting Factors among Healthy Lifestyle Beliefs, Behaviors and Mental Health Indicators in Taiwanese Adolescents

2021 ◽  
pp. 20-30
Author(s):  
Shu-Min Chan ◽  
Bernadette Mazurek Melnyk ◽  
Angela Chia-Chen Chen
Keyword(s):  
Mental Health ◽  
Healthy Lifestyle ◽  
Negative Relationship ◽  
Health Indicators ◽  
Lifestyle Changes ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Lifestyle Behavior ◽  
Perceived Difficulty ◽  
Healthy Lifestyle Behaviors

Aims: The prevalence of overweight adolescents in Taiwan has dramatically increased in recent years. A survey shows that 66.6% of adolescents do not get the recommended amount of vegetables and fruit (i.e., two portions of fruit and three portions of vegetables per day each week). The purpose of this study was to explore relationships between individual understanding of activity and nutrition, healthy lifestyle beliefs, perceived difficulty of efficacy in reaching health goals, mental health variables, and healthy lifestyle behavior on BMI in Taiwanese adolescents. Study Design: This is a theoretically-based and cross-sectional research study. Place and Duration of Study: Data were conducted from two middle schools in Taiwan between Sep 2011 to November 2011. Methodology: We used a convenience sampling to recruit 453 adolescents with a mean age of 13.42 years. The instruments used were demographics, Beck Youth Inventory II (Depression, Anxiety, Self-concept), Healthy Lifestyle Belief Scale, Healthy Lifestyle Behavior Scale, Perceived Difficulty Scale, Nutrition and Activity Knowledge Scales. We conducted path analysis to test our theoretical model by using Mplus 5.21. Results: Fit indices included χ2 (23, 453) =33.75, P= .05, CFI=.98, and RMSEA=.03, indicating that the model fit the model well. Healthy lifestyle beliefs had a significant positive effect on healthy lifestyle behaviors (β= .41, P= .01). Moreover, there was a significant negative relationship between perceived difficulty and healthy lifestyle behaviors (β= -.54, P= .01). Conclusion: Our findings suggest that promoting positive beliefs about healthy lifestyle among adolescents may facilitate healthy lifestyle changes and help them perceive less difficulty in maintaining a healthy lifestyle. School nurses and health professionals in Taiwan need to coordinate essential resources and implement theoretical-based educational program that address issues on increasing adolescents’ healthy lifestyle beliefs.

scholarly journals Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study (Preprint)

2020 ◽  
Author(s):  
Yan Du ◽  
Brittany Dennis ◽  
Shanae Lakel Rhodes ◽  
Michelle Sia ◽  
Jisook Ko ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Intervention Group ◽  
Health Indicators ◽  
Lifestyle Change ◽  
Lifestyle Changes ◽  
Ease Of Use ◽  
Future Research ◽  
Lifestyle Behaviors ◽  
Self Monitoring ◽  
Healthy Lifestyle Behaviors

BACKGROUND Self-monitoring is key to successful behavior change in diabetes and obesity, and the use of traditional paper-based methods of self-monitoring may be time-consuming and burdensome. OBJECTIVE This study aimed to explore participant experiences while using technology-assisted self-monitoring of lifestyle behaviors and health indicators among overweight or obese adults with type 2 diabetes. METHODS Qualitative data collected from the intervention group of a 6-month, three-arm (control, paper diary, and technology-assisted self-monitoring groups) randomized clinical trial were analyzed. Study participants in the intervention group monitored their diet, exercise, and weight using the LoseIt! app, and their blood glucose levels using a glucometer and the Diabetes Connect app. Semistructured group discussions were conducted at 6 weeks (n=10) from the initiation of the behavioral lifestyle intervention and again at 6 months (n=9). All group interviews were audiotaped and transcribed verbatim. Using a combination of thematic and comparative analysis approaches, two trained professionals coded the transcriptions independently and then discussed and concluded common themes for the 6-week and 6-month discussions separately. RESULTS The sample (n=10), which primarily involved African American participants (n=7) and female participants (n=8), had a mean age of 59.4 years. The following eight themes emerged: (1) perceived benefits of technology-assisted self-monitoring; (2) perceived ease of use (eg, barriers: technical difficulties and lack of self-discipline; facilitators: help from family, friends, and the program); (3) use of technology-assisted self-monitoring; (4) facilitators of engaging in healthy lifestyle behaviors (eg, visualization and awareness of calorie input/expenditure); (5) positive lifestyle change; (6) barriers of engaging in healthy lifestyle behaviors (eg, event influence); (7) learning curve; and (8) monitored data sharing. The first six of these themes were shared between the 6-week and 6-month timepoints, but the codes within these themes were not all the same and differed slightly between the two timepoints. These differences provide insights into the evolution of participant thoughts and perceptions on using technology for self-monitoring and subsequent behavioral lifestyle changes while participating in lifestyle interventions. The findings from the 6-week and 6-month data helped to paint a picture of participant comfort and the integration of technology and knowledge overtime, and clarified participant attitudes, difficulties, behavioral processes, and modifications, as well as health indicators that were experienced throughout the study. CONCLUSIONS Although there were some barriers, participants were able to identify various individual and external facilitators to adjust to and engage in technology-assisted self-monitoring, and it was concluded that the technology-assisted self-monitoring approach was beneficial, safe, and feasible to use for positive lifestyle change. These patient perspectives need to be considered in future research studies when investigating the effectiveness of using technology-assisted self-monitoring, as well as in clinical practice when recommending technology-assisted self-monitoring of lifestyle behaviors and health indicators to improve health outcomes.

scholarly journals Health lifestyles and Chinese oldest-old’s subjective well-being—evidence from a latent class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li Zhang ◽  
Xiangyang Bi ◽  
Zhihong Ding
Keyword(s):  
Mental Health ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Healthy Lifestyle ◽  
Well Being ◽  
Class Analysis ◽  
Lifestyle Behaviors ◽  
Subjective Well Being ◽  
Health Lifestyles ◽  
Healthy Lifestyle Behaviors

Abstract Background Previous research on the associations between lifestyle behaviors and health has largely focused on morbidity, mortality and disease prevention. More attention should be paid to examining relationships between lifestyle behaviors and positive health outcomes such as well-being. The aim of the study was to classify Chinese oldest-old’s health lifestyles and evaluate the manner in which health lifestyles have impacted Chinese oldest-old’s subjective well-being. Methods Analyzing the 2014 Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese oldest-old aged 85 to 105. Ordinary Least Square (OLS) regression models were used to assess the effects of health lifestyles on Chinese oldest-old’s subjective well-being, adjusting for socio-demographic characteristics. Results Four distinct classes representing health lifestyles emerged. Health lifestyles were found to be strongly associated with Chinese oldest-old’s subjective well-being, even after controlling for demographic features as well as individual and parental socioeconomic disadvantage. Findings showed that healthy lifestyle behaviors stimulated Chinese oldest-old’s positive feelings and led to better evaluative subjective well-being. In contrast, less healthy lifestyle behaviors can be a predictor of negative feelings. Conclusions The regression results highlighted the importance of integrating health lifestyle choices in promoting oldest-old’s psychological well-being. Elders can tackle healthier lifestyle behaviors in their daily lives to reduce the risk of mental health problems. Practicing healthy lifestyles should be integrated in programs for mental health promotion.

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