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 Examining the relationship between Orthorexia Nervosa and healthy lifestyle behaviors in students

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B Oktay ◽  
A Gokce ◽  
A Oze
Keyword(s):  
Parental Education ◽  
Healthy Lifestyle ◽  
Eating Habits ◽  
Female Students ◽  
Orthorexia Nervosa ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Lifestyle Behavior ◽  
Healthy Lifestyle Behaviors ◽  
The Relationship

Abstract Background Orthorexia Nervosa (ON) is an eating disorder characterized by a pathological obsession to healthy eating and excessive preoccupation with the consumption of healthy food. The ON levels of individuals are affected by their healthy lifestyle behaviors. The aim of this study is to determine the relationship between ON levels as well as associated factors and healthy lifestyle behaviors in female students at Malatya Battalgazi Dormitory. Methods Our descriptive cross-sectional study was conducted in 2019 and included 300 female dormitory students. The survey form used in the study consisted of questions regarding sociodemographic characteristics and eating habits; the Orthorexia Nervosa Evaluation Scale and Healthy Lifestyle Behaviors Scale were also utilized. The Chi-Square, Student t, One Way ANOVA, Mann-Whitney U and Kruskal Wallis tests were used in the statistical analysis of data and p < 0.05 was found to be significant. Results It was found that 16.7% of students had an inclination towards ON. Students who had 2 meals a day or less exhibited significantly lower ON tendencies compared to those who had 3 meals a day or more (p < 0.05). The groups showed statistical variations in total Healthy Lifestyle Behavior scores and sub-class scores when compared according to levels of parental education (p < 0.05). While the average Healthy Lifestyle Behavior score total was 124.8±14.61 in students who displayed ON tendencies, those that did not show such tendencies had a mean score of 120.0±19.74. Conclusions Students with ON tendencies have a higher healthy lifestyle behavior score. In addition, students consuming less than 2 main meals daily showed less signs of ON. In this case, it is necessary to prioritise updating and improving the methods evaluating the ON trends. It is thought that ON tendencies can be reduced and healthy lifestyle behaviors can be improved in students with education concerning nutritional awareness. Key messages The female students staying at Malatya Battalgazi Dormitory show low signs of ON. Healthy lifestyle behaviors of female students staying at Malatya Battalgazi Dormitory are above average.

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

JMIR Diabetes ◽  
10.2196/21183 ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. e21183
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 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 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.

Personal Health Practices and Perceptions of Lifestyle Counseling and Preventive Services Among Residents

2020 ◽  
pp. 155982761989630
Author(s):  
Jenny Sunghyun Lee ◽  
April Wilson ◽  
Oluwatimilehin Okunowo ◽  
Jennifer Trinh ◽  
Jon Sivoravong
Keyword(s):  
Healthy Lifestyle ◽  
Preventive Services ◽  
Medical Residents ◽  
Personal Health ◽  
Training Level ◽  
Lifestyle Behaviors ◽  
Cross Sectional ◽  
Lifestyle Counseling ◽  
Healthy Lifestyle Behaviors ◽  
And Training

Background. Primary care residents are expected to provide lifestyle counseling and preventive services for patients with chronic diseases; also, physicians’ personal lifestyle practice impacts patient care. The purpose of this article is to assess healthy lifestyle behaviors and attitudes to engage in lifestyle counseling and preventive services among residents and fellows in different training levels and specialty. Methods. A cross-sectional pilot study was conducted on medical residents and fellows (n = 57). Surveys collected information on lifestyle behaviors and perceptions of lifestyle counseling and preventive services. Comparisons of study measures were made across residents’ specialty and training levels. Fisher’s exact and analysis of variance tests were used for statistical analysis. Results. There were several significant differences in perceptions of counseling and screening by specialty and training level. There were no significant differences in personal lifestyle behaviors between all resident specialties and training levels. Conclusion. Our findings suggest that there are opportunities to improve healthy lifestyle behaviors and perceptions of lifestyle counseling and preventive services among residents in different specialties and training levels. This knowledge can inform development of training programs in lifestyle and preventive medicine practice during residency and fellowship.

scholarly journals Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study

2015 ◽  
Vol 24 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Mitch J Duncan ◽  
Christopher E Kline ◽  
Amanda L Rebar ◽  
Corneel Vandelanotte ◽  
Camille E Short
Keyword(s):  
Healthy Lifestyle ◽  
Cross Sectional Study ◽  
Time Variability ◽  
Lifestyle Behaviors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Wake Time ◽  
Healthy Lifestyle Behaviors

scholarly journals Hubungan Antara Sumber Informasi, Uang Saku Dengan Perilaku Gaya Hidup Sehat Mahasiswi Tingkat Tiga Prodi DIII Kebidanan Universitas MH Thamrin Jakarta Timur

2019 ◽  
Vol 2 (2) ◽  
pp. 1-6
Author(s):  
Ella Nurlelawati ◽  
Kursih Sulastriningsih ◽  
Riza Umami
Keyword(s):  
Information Sources ◽  
Dietary Habits ◽  
Healthy Lifestyle ◽  
Information Source ◽  
Lifestyle Behaviors ◽  
Sources Of Information ◽  
Lifestyle Behavior ◽  
Pocket Money ◽  
Healthy Lifestyle Behaviors ◽  
The Media

Globalization and technological development in each field also influence changes in behavior, people’s lifestyles, such as dietary habits, physical activity, smoking behavior, length of sleep, stress control clean and healthy living behavior. The study’s aims to determine the relationship between information sources, and pocket money with healthy lifestyle behaviors for third-level female students at the Diploma III of Midwifery study program at MH Thamrin University, East Jakarta 2016. Methods that is used is a cross- sectional design carried out for two months produced by Midwifery MH Thamrin University, East Jakarta. Information Source test results are information with healthy lifestyle behaviors indicate that information sourced from the media has healthier healthy lifestyle behaviors (79.7%). In proportion, pocket money with healthy lifestyle behavior shows that an allowance of more than one million five hundred thousand rupiahs has a healthy lifestyle behavior of 88.9% (56 respondents) compared to an allowance of less than one million five hundred thousand rupiahs of 66, 7% (20 respondents), p = 0.02, OR = 4.00 which means that respondents with an allowance of more than one million five hundred thousand rupiahs have a 4 times chance of having a healthy lifestyle compared to respondents with an allowance of less than one million five hundred thousand rupiah. Conclusion of the research are respondent with sources of information through the media have a one-time opportunity to have a healthy lifestyle an respondents with a monthly allowance of more than one million five hundred thousand rupiahs have a 4 times opportunity to have a healthy lifestyle Keywords: Healthy Lifestyle Behavior, Information Sources, Pocket Money

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.

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