scholarly journals Schüz et al. 2020 Socioeconomic status moderates the effects of health cognitions on health behaviors within participants- two multibehavior studies - POSTPRINT

2020 ◽  
Author(s):  
Benjamin Schüz ◽  
Cameron Brick ◽  
Sarah Wilding ◽  
Mark Conner
Keyword(s):  
Socioeconomic Status ◽  
Health Behavior ◽  
Health Behaviors ◽  
Multilevel Models ◽  
Cross Sectional ◽  
Self Reports ◽  
Health Related ◽  
Attitude Behavior ◽  
Mediation Moderation ◽  
Health Cognitions

Background: Socioeconomic differences in health-related behaviors are a major cause ofhealth inequalities. However, the mechanisms (mediation / moderation) by which socioeconomic status (SES) affects health behavior are a topic of ongoing debate.Purpose: Current research on SES as moderator of the health cognitions - health behavior relation is inconsistent. Previous studies are limited by diverse operationalizations of SES and health behaviors, demographically narrow samples, and between-person designs addressing within-person processes. This paper presents two studies addressing these shortcomings in a within-person multi-behavior framework using hierarchical linear models.Methods: Two online studies, one cross-sectional and one 4-week longitudinal, assessed 1,005 (Study 1; Amazon MTurk; US only) and 1,273 participants (Study 2; Prolific; international). Self-reports of multiple SES indicators (education, income, occupation status; ZIP code in Study 1), health cognitions (from the Theory of Planned Behavior) and measures of 6 health behaviors were taken. Multilevel models with cross-level interactions tested wither the within-person relationships between health cognitions and behaviors differed by between-person SES .Results: Education significantly moderated intention-behavior and attitude-behavior relationships in both studies, with more educated individuals showing stronger positive relationships. In addition, ZIP-level SES (Study 1) moderated attitude-behavior effects such that these relationships were stronger in participants living in areas with higher SES. Conclusions: Education appears to be an important resource for the translation of intentions and attitudes into behavior. Other SES indicators showed less consistent effects. This has implications for interventions aiming at increasing intentions to change health behaviors, as some interventions might inadvertently increase health inequalities.

scholarly journals Schüz et al. 2020 Socioeconomic status moderates the effects of health cognitions on health behaviors within participants- two multibehavior studies - POSTPRINT

2020 ◽  
Author(s):  
Benjamin Schüz ◽  
Cameron Brick
Keyword(s):  
Socioeconomic Status ◽  
Health Behavior ◽  
Health Behaviors ◽  
Multilevel Models ◽  
Cross Sectional ◽  
Self Reports ◽  
Health Related ◽  
Attitude Behavior ◽  
Mediation Moderation ◽  
Health Cognitions

Background: Socioeconomic differences in health-related behaviors are a major cause ofhealth inequalities. However, the mechanisms (mediation / moderation) by which socioeconomic status (SES) affects health behavior are a topic of ongoing debate.Purpose: Current research on SES as moderator of the health cognitions - health behavior relation is inconsistent. Previous studies are limited by diverse operationalizations of SES and health behaviors, demographically narrow samples, and between-person designs addressing within-person processes. This paper presents two studies addressing these shortcomings in a within-person multi-behavior framework using hierarchical linear models.Methods: Two online studies, one cross-sectional and one 4-week longitudinal, assessed 1,005 (Study 1; Amazon MTurk; US only) and 1,273 participants (Study 2; Prolific; international). Self-reports of multiple SES indicators (education, income, occupation status; ZIP code in Study 1), health cognitions (from the Theory of Planned Behavior) and measures of 6 health behaviors were taken. Multilevel models with cross-level interactions tested wither the within-person relationships between health cognitions and behaviors differed by between-person SES .Results: Education significantly moderated intention-behavior and attitude-behavior relationships in both studies, with more educated individuals showing stronger positive relationships. In addition, ZIP-level SES (Study 1) moderated attitude-behavior effects such that these relationships were stronger in participants living in areas with higher SES. Conclusions: Education appears to be an important resource for the translation of intentions and attitudes into behavior. Other SES indicators showed less consistent effects. This has implications for interventions aiming at increasing intentions to change health behaviors, as some interventions might inadvertently increase health inequalities.

scholarly journals Socioeconomic Status Moderates the Effects of Health Cognitions on Health Behaviors within Participants: Two Multibehavior Studies

2019 ◽  
Vol 54 (1) ◽  
pp. 36-48 ◽  
Author(s):  
Benjamin Schüz ◽  
Cameron Brick ◽  
Sarah Wilding ◽  
Mark Conner
Keyword(s):  
Socioeconomic Status ◽  
Health Behavior ◽  
Health Behaviors ◽  
Health Inequalities ◽  
Multilevel Models ◽  
Linear Models ◽  
Cross Sectional ◽  
Health Related ◽  
Attitude Behavior ◽  
Health Cognitions

Abstract Background Socioeconomic differences in health-related behaviors are a major cause of health inequalities. However, the mechanisms (mediation/moderation) by which socioeconomic status (SES) affects health behavior are a topic of ongoing debate. Purpose Current research on SES as moderator of the health cognitions–health behavior relation is inconsistent. Previous studies are limited by diverse operationalizations of SES and health behaviors, demographically narrow samples, and between-person designs addressing within-person processes. This paper presents two studies addressing these shortcomings in a within-person multibehavior framework using hierarchical linear models. Methods Two online studies, one cross-sectional and one 4 week longitudinal, assessed 1,005 (Study 1; Amazon MTurk; USA only) and 1,273 participants (Study 2; Prolific; international). Self-reports of multiple SES indicators (education, income, occupation status; ZIP code in Study 1), health cognitions (from the theory of planned behavior), and measures of six health behaviors were taken. Multilevel models with cross-level interactions tested whether the within-person relationships between health cognitions and behaviors differed by between-person SES. Results Education significantly moderated intention-behavior and attitude-behavior relationships in both studies, with more educated individuals showing stronger positive relationships. In addition, ZIP-level SES (Study 1) moderated attitude-behavior effects such that these relationships were stronger in participants living in areas with higher SES. Conclusions Education appears to be an important resource for the translation of intentions and attitudes into behavior. Other SES indicators showed less consistent effects. This has implications for interventions aiming at increasing intentions to change health behaviors, as some interventions might inadvertently increase health inequalities.

scholarly journals Utilizing Participatory Research to Engage Underserved Populations to Improve Health-Related Outcomes in Delaware

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2353
Author(s):  
Shannon M. Robson ◽  
Samantha M. Rex ◽  
Katie Greenawalt ◽  
P. Michael Peterson ◽  
Elizabeth Orsega-Smith
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Health Behaviors ◽  
Participatory Research ◽  
Cooperative Extension ◽  
Underserved Populations ◽  
Community Outreach ◽  
Outreach Program ◽  
Health Related ◽  
Improve Health

Cooperative Extension is a community outreach program. Despite its large reach, there is a need for the evaluation of changes in health-related outcomes for individuals engaged with Cooperative Extension. A team-based challenge was developed using community-engaged participatory research integrated with Cooperative Extension to encourage healthy eating and physical activity behaviors through Cooperative Extension programming. Thus, the primary purpose of this secondary analysis was to (1) evaluate changes in anthropometric outcomes and (2) evaluate changes in health behavior outcomes. Associations of anthropometric changes and health behavior changes with engagement in the three-month team-based challenge were explored. Anthropometrics were measured using standard procedures, and intake of fruits and vegetables and physical activity were self-reported. Of the 145 participants in the community-engaged participatory research portion of the study, 52.4% (n = 76) had complete anthropometrics before and after the team-based challenge and were included in this study. At 3 months, there was a significant reduction in body mass index (−0.3 kg/m2, p = 0.024) and no significant change in waist circumference (p = 0.781). Fruit and vegetable intake significantly increased (+0.44 servings/day, p = 0.018). Physical activity did not significantly change based on (1) the number of days 30 or more minutes of physical activity was conducted (p = 0.765) and (2) Godin Leisure-Time Exercise Questionnaire scores (p = 0.612). Changes in anthropometrics and health behaviors were not associated with engagement in the team-based challenge. Using community-engaged participatory research with community outreach programs, such as Cooperative Extension, can improve health-related outcomes in underserved populations. However, despite a participatory approach, changes in anthropometrics and health behaviors were not associated with engagement in the developed team-based challenge.

scholarly journals Contributing Factors in Adolescents’ Mental Well-Being—The Role of Socioeconomic Status, Social Support, and Health Behavior

2020 ◽  
Vol 12 (22) ◽  
pp. 9597
Author(s):  
Gabriella Nagy-Pénzes ◽  
Ferenc Vincze ◽  
Éva Bíró
Keyword(s):  
Social Support ◽  
Socioeconomic Status ◽  
Life Satisfaction ◽  
Health Behavior ◽  
Mental Health Problems ◽  
Well Being ◽  
Cross Sectional ◽  
Unhealthy Eating ◽  
The Impact ◽  
Mental Well Being

Mental disorders are common in adolescents, and for effective interventions we should be aware of their determinants. However, there are only a small number of studies investigating the combined effect of multiple factors. Therefore, our aim is to assess the impact of socioeconomic status, social support, and health behavior on adolescents’ mental well-being. A cross-sectional health survey of 1641 children was carried out in accordance with the study protocol of the Hungarian Health Behavior in School-aged Children survey. Multivariate multiple regression was used to analyze the main determinants of mental well-being. The boys’ mental well-being was favorable compared to girls; lower subjective family wealth was associated with lower life satisfaction and depressive mood. Life satisfaction was positively related to healthy eating, social support, and physical activity. Unhealthy eating, sedentary lifestyle, and lower social support were associated with higher depression scores. Higher social support reduces psychosomatic symptoms, while unhealthy eating and spending a lot of time in front of the computer increase them. Both social support and healthy lifestyle seem to be protective against mental health problems among adolescents, and thus interventions should focus on these factors regardless of the socioeconomic status of the participants, with special attention given to girls.

scholarly journals Effect of BMI and Perceived Importance of Health on the Health Behavior of College Students: Cross-Sectional Study

10.2196/17640 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e17640
Author(s):  
Wan-Chen Hsu ◽  
Chia-Hsun Chiang
Keyword(s):  
College Students ◽  
Health Behavior ◽  
Health Behaviors ◽  
Eating Behaviors ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Exercise Behaviors ◽  
Significant Difference ◽  
Perceived Importance ◽  
Perception Of Health

Background Both body mass index (BMI) and the perceived importance of health have received a lot of attention, but few studies have fully investigated the interaction of their effects on health behaviors. Objective This study investigates the effects of BMI and the perceived importance of health on health behaviors (patterns of eating, sleeping, and exercising) among college students in Taiwan. Methods A survey was conducted with 334 students to assess their perception of the importance of health (using indicators) and their health behavior (using the Health Behaviors Scale). Respondent BMI was calculated from self-reported body weight and height. Descriptive statistical analysis, independent t test analysis, two-way analysis of variance (ANOVA), and one-way ANOVA were conducted. Results The results showed a significant difference between genders in health behaviors among college students (eating: t332=2.17, P=.03; exercise: t332=5.57, P<.001; sleep: t332=2.58, P=.01). Moreover, there was an interaction between BMI and perception (of the importance of health) for exercise behaviors (F2,328=3.50, P=.03), but not for eating behaviors (F2,328=0.12, P=.89) or sleep behaviors (F2,328=1.64, P=.20). Conclusions This study establishes, for the first time, the interaction of BMI and the perceived importance of health on health behaviors. The perception of health was found to have a significant effect on exercise behaviors. Thus, the perception of health plays a significant role in the exercise behaviors of college students in Taiwan. This finding provides researchers, policy makers, and practitioners with evidence, and consequently, opportunities for focusing on preventive actions. The findings suggest that increasing the importance of health in the perception of college students, should be the focus of efforts to help students exercise more regularly.

scholarly journals Socioeconomic Status and Health Behavior in Children and Adolescents: A Systematic Literature Review

2021 ◽  
Author(s):  
Nirmal Gautam ◽  
Getenet Dessie ◽  
Mohammad Mafizur Rahman ◽  
Rasheda Khanam
Keyword(s):  
Socioeconomic Status ◽  
Literature Review ◽  
Health Behavior ◽  
Health Behaviors ◽  
Children And Adolescents ◽  
Systematic Literature Review ◽  
Low Socioeconomic Status ◽  
Study Objective ◽  
Low Socioeconomic ◽  
Socioeconomic Status And Health

Abstract Background:Socioeconomic status (SES) is an important determinant of health behaviors in individuals and contributes to a complex relationship with health. Because of this complexity, the relationship between SES and health behavior is still unclear. Thus, this literature review aims to assess the association between socioeconomic inequalities and health behaviors in children and adolescents from both developed and developing countries.Methods:Preferred Reporting for Systematic Review and Meta-Analysis protocol (PRISMA-P) guideline was used to conduct a systematic literature review. The electronic online databases EBSCO Host, PubMed, Web of Science, and Science Direct were utilized to systematically search the published articles. Joanna Briggs Institute of critical appeal tool was deployed to assess the quality of included studies. Eligibilities criteria such as study population, study design, study type, study objective, language, and publication date were used to identify the relevant literature that measured the association between socioeconomic status and health behaviors.Results:Out of 1483 articles, only 31 met the final eligibility criteria and were assessed in this paper. Out of these studies: ten, nine, seven and five studies identified a positive association between socioeconomic status (SES) and (a) drinking alcohol; (b) physical activity; (c) fruits and vegetable consumption; (d) consumption of a healthy diet respectively. On the other hand, a negative association between SES and smoking and SES and consumption of cannabis were found by eleven and one study respectively among the children and adolescents. Conclusions:This review study found that the problem of health behaviors is continuing to be a major concern in children and adolescents, particularly those who are of low socioeconomic status. The findings of this study revealed that some specific intervention packages are needed for reducing these damaging health behaviors and enhancing the protective health behaviors in those children and adolescents from a low socioeconomic status.

Health-related quality of life in children and adolescents with stroke, self-reports, and parent/proxies reports: Cross-sectional investigation

2011 ◽  
Vol 70 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Bruno Neuner ◽  
Sylvia von Mackensen ◽  
Anne Krümpel ◽  
Daniela Manner ◽  
Sharon Friefeld ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Children And Adolescents ◽  
Health Related Quality ◽  
Cross Sectional ◽  
Self Reports ◽  
Related Quality ◽  
Health Related

scholarly journals Longitudinal stability and interrelations between health behavior and subjective well-being in a follow-up of nine years

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259280
Author(s):  
Säde Stenlund ◽  
Niina Junttila ◽  
Heli Koivumaa-Honkanen ◽  
Lauri Sillanmäki ◽  
David Stenlund ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Health Behaviors ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
The Cross

Background The bidirectional relationship between health behavior and subjective well-being has previously been studied sparsely, and mainly for individual health behaviors and regression models. In the present study, we deepen this knowledge focusing on the four principal health behaviors and using structural equation modeling with selected covariates. Methods The follow-up data (n = 11,804) was derived from a population-based random sample of working-age Finns from two waves (2003 and 2012) of the Health and Social Support (HeSSup) postal survey. Structural equation modeling was used to study the cross-sectional, cross-lagged, and longitudinal relationships between the four principal health behaviors and subjective well-being at baseline and after the nine-year follow-up adjusted for age, gender, education, and self-reported diseases. The included health behaviors were physical activity, dietary habits, alcohol consumption, and smoking status. Subjective well-being was measured through four items comprising happiness, interest, and ease in life, and perceived loneliness. Results Bidirectionally, only health behavior in 2003 predicted subjective well-being in 2012, whereas subjective well-being in 2003 did not predict health behavior in 2012. In addition, the cross-sectional interactions in 2003 and in 2012 between health behavior and subjective well-being were statistically significant. The baseline levels predicted their respective follow-up levels, the effect being stronger in health behavior than in subjective well-being. Conclusion The four principal health behaviors together predict subsequent subjective well-being after an extensive follow-up. Although not particularly strong, the results could still be used for motivation for health behavior change, because of the beneficial effects of health behavior on subjective well-being.

scholarly journals Perception of Ophthalmologists to COVID-19 Using Health Belief Model

2020 ◽  
Author(s):  
Enmar Almazyad ◽  
Abeer Ahmad ◽  
Deema Jomar ◽  
Rajiv Khandekar ◽  
Samar Al-Swailem
Keyword(s):  
Risk Perception ◽  
Health Behavior ◽  
Health Belief Model ◽  
Health Belief ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Preventive Health Behavior ◽  
Health Related ◽  
Belief Model ◽  
The Health Belief Model

Abstract Purpose:To assess ophthalmologists preparedness in such a critical period in the history of pandemics, a logical socio-psychological framework assessment using the health belief model (HBM) is essential to evaluate their risk perception, their willingness to actively participate in engaging in protective health behavior and acknowledge its benefits and their capability to perform adequate successful methods in limiting the spread of COVID-19 and overcome the barriers they might encounter while implementing such precautions.Methods:A cross-sectional study conducted in King Khaled Eye Specialist Hospital using a questionnaire-based (HBM) was distributed to 135 ophthalmologists in the institute to evaluate their risk perception on COVID-19, and determine which components of the HBM contribute to preventive health behavior related to the COVID-19 infection.Results:The questionnaire had a reasonable response rate ( 79.3%, 107 ophthalmologists including; 48 consultants, 51 fellows, and 36 residents). The study demonstrated that this model is useful and mapped how several components were significantly correlated to actions. Most significantly, perceived susceptibility was the most important predictor of action. The second most important determinant of action was the perceived benefit.Conclusion:Pandemics such as COVID-19 are more likely to happen again in the future. Explicit attention to factors influencing motivation, such as threat perception to adopt appropriate health-related behavior to limit the spread of communicable diseases, is necessary. This study has successfully represented preparedness and risk behavior perception of ophthalmologists to the novel COVID-19 pandemic in one of the largest tertiary eye hospitals in the middle east using the health belief model.

scholarly journals Archetypes of Gamification: Analysis of mHealth Apps

10.2196/19280 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e19280
Author(s):  
Manuel Schmidt-Kraepelin ◽  
Philipp A Toussaint ◽  
Scott Thiebes ◽  
Juho Hamari ◽  
Ali Sunyaev
Keyword(s):  
Best Practices ◽  
Health Behavior ◽  
Health Behaviors ◽  
Mobile Health ◽  
Positive Reinforcement ◽  
Mobile Apps ◽  
Health Behavior Change ◽  
Future Research ◽  
Research Approach ◽  
Health Related

Background Nowadays, numerous health-related mobile apps implement gamification in an attempt to draw on the motivational potential of video games and thereby increase user engagement or foster certain health behaviors. However, research on effective gamification is still in its infancy and researchers increasingly recognize methodological shortcomings of existing studies. What we actually know about the phenomenon today stems from fragmented pieces of knowledge, and a variety of different perspectives. Existing research primarily draws on conceptual knowledge that is gained from research prototypes, and isolated from industry best practices. We still lack knowledge on how gamification has been successfully designed and implemented within the industry and whether certain gamification approaches have shown to be particularly suitable for certain health behaviors. Objective We address this lack of knowledge concerning best practices in the design and implementation of gamification for health-related mobile apps by identifying archetypes of gamification approaches that have emerged in pertinent health-related mobile apps and analyzing to what extent those gamification approaches are influenced by the underlying desired health-related outcomes. Methods A 3-step research approach is employed. As a first step, a database of 143 pertinent gamified health-related mobile apps from the Apple App Store and Google Play Store is set up. Second, the gamification approach of each app within the database is classified based on an established taxonomy for gamification in health-related apps. Finally, a 2-step cluster analysis is conducted in order to identify archetypes of the most dominant gamification approaches in pertinent gamified health-related mobile apps. Results Eight archetypes of gamification emerged from the analysis of health-related mobile apps: (1) competition and collaboration, (2) pursuing self-set goals without rewards, (3) episodical compliance tracking, (4) inherent gamification for external goals, (5) internal rewards for self-set goals, (6) continuous assistance through positive reinforcement, (7) positive and negative reinforcement without rewards, and (8) progressive gamification for health professionals. The results indicate a close relationship between the identified archetypes and the actual health behavior that is being targeted. Conclusions By unveiling salient best practices and discussing their relationship to targeted health behaviors, this study contributes to a more profound understanding of gamification in mobile health. The results can serve as a foundation for future research that advances the knowledge on how gamification may positively influence health behavior change and guide practitioners in the design and development of highly motivating and effective health-related mobile health apps.

Sign in / Sign up

Export Citation Format

Share Document