scholarly journals Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Eileen K. Graham ◽  
Sara J. Weston ◽  
Nicholas A. Turiano ◽  
Damaris Aschwanden ◽  
Tom Booth ◽  
...  
Keyword(s):  
Physical Activity ◽  
Data Analysis ◽  
Health Behaviors ◽  
Positive Outcomes ◽  
Life Choices ◽  
Data Transformations ◽  
Integrative Data Analysis ◽  
Heterogeneous Samples ◽  
Weighted Effect ◽  
Comparability Of Results

Current literature suggests that neuroticism is positively associated with maladaptive life choices, likelihood of disease, and mortality. However, recent research has identified circumstances under which neuroticism is associated with positive outcomes. The current project examined whether “healthy neuroticism”, defined as the interaction of neuroticism and conscientiousness, was associated with the following health behaviors: smoking, alcohol consumption, and physical activity. Using a pre-registered multi-study coordinated integrative data analysis (IDA) approach, we investigated whether “healthy neuroticism” predicted the odds of engaging in each of the aforementioned activities. Each study estimated identical models, using the same covariates and data transformations, enabling optimal comparability of results. These results were then meta-analyzed in order to estimate an average (N-weighted) effect and to ascertain the extent of heterogeneity in the effects. Overall, these results suggest that neuroticism alone was not related to health behaviors, while individuals higher in conscientiousness were less likely to be smokers or drinkers, and more likely to engage in physical activity. In terms of the healthy neuroticism interaction of neuroticism and conscientiousness, significant interactions for smoking and physical activity suggest that the association between neuroticism and health behaviors was smaller among those high in conscientiousness. These findings lend credence to the idea that healthy neuroticism may be linked to certain health behaviors and that these effects are generalizable across several heterogeneous samples.

Integrative Data Analysis from a Unifying Research Synthesis Perspective

2018 ◽  
Author(s):  
Eun-Young Mun ◽  
Anne E. Ray
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Research Synthesis ◽  
Alcohol Intervention ◽  
Data Set ◽  
Integrative Data Analysis ◽  
Level Data ◽  
Model Complex ◽  
Wide Range ◽  
Individual Participant

Integrative data analysis (IDA) is a promising new approach in psychological research and has been well received in the field of alcohol research. This chapter provides a larger unifying research synthesis framework for IDA. Major advantages of IDA of individual participant-level data include better and more flexible ways to examine subgroups, model complex relationships, deal with methodological and clinical heterogeneity, and examine infrequently occurring behaviors. However, between-study heterogeneity in measures, designs, and samples and systematic study-level missing data are significant barriers to IDA and, more broadly, to large-scale research synthesis. Based on the authors’ experience working on the Project INTEGRATE data set, which combined individual participant-level data from 24 independent college brief alcohol intervention studies, it is also recognized that IDA investigations require a wide range of expertise and considerable resources and that some minimum standards for reporting IDA studies may be needed to improve transparency and quality of evidence.

Regular consumption of red meat and health behaviors in the Brazilian population

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D de Assumpção ◽  
S M Álvares Domene ◽  
A M Pita Ruiz ◽  
P M Stolses Bergamo Francisco
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Meat Consumption ◽  
Cross Sectional Study ◽  
National Health Survey ◽  
Red Meat ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Unhealthy Eating ◽  
Regular Consumption

Abstract Background The consumption of red meat should not surpass 500 g of cooked weight per week. Regular consumption can exceed this recommendation, increasing the risk of chronic diseases. Objective Estimate the prevalence of the regular consumption of red meat according to health behaviors in Brazilian adults (≥18 years). Methods A cross-sectional study was conducted with data from the 2013 National Health Survey, which is a household inquiry with a representative sample of the population ≥18 years of age. The regular consumption of red meat (beef, pork, goat) was defined as ≥ 5 days/week. Prevalence ratios (PR) and 95% confidence intervals (CI) were estimated according to health behaviors (healthy and unhealthy eating patterns, smoking, practice of physical activity during leisure and alcohol intake). Results A total of 60,202 adults were interviewed, 52.9% of whom were women and mean age was 42.9 years (95%CI: 42.6-43.2). The prevalence of regular red meat consumption was 36.7% (95%CI: 36.0-37.5) and was higher among those who ingested soft drinks/artificial juice (PR = 1.08) and sweets (PR = 1.05) ≥3 days/week, ingested beans (PR = 1.07) and raw vegetables (PR = 1.03) ≥5 days/week, ingested fatty meat (PR = 1.09), smokers (PR = 1.05), individuals who were inactive during leisure (PR = 1.04) and those who consumed alcohol ≥2 times/week (PR = 1.06). The prevalence was lower among those who ate fruit (PR = 0.99) and chicken (PR = 0.95) ≥5 days/week, those who ate fish (PR = 0.90) at least 1 day/week and those who drank no fat/low fat milk rather than whole milk. Conclusions The regular consumption of red meat was higher among individuals who ingested unhealthy foods more often, those who ingested fatty meat, smokers, those who ingested alcoholic beverages and those who did not practice physical activity. Actions are needed to reduce the frequency of red meat consumption. Key messages Regular consumption of red meat can exceed the recommendation of 500 g of cooked weight per week. The regular consumption of red meat was associated with the more frequent ingestion of unhealthy foods and fatty meat.

scholarly journals Can Health-Promoting Schools Contribute to Better Health Behaviors? Physical Activity, Sedentary Behavior, and Dietary Habits among Israeli Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 1183
Author(s):  
Hila Beck ◽  
Riki Tesler ◽  
Sharon Barak ◽  
Daniel Sender Moran ◽  
Adilson Marques ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Confidence Interval ◽  
Health Behaviors ◽  
Sedentary Behavior ◽  
Dietary Habits ◽  
Group Differences ◽  
Time Behavior ◽  
Health Promoting ◽  
The Mean

Schools with health-promoting school (HPS) frameworks are actively committed to enhancing healthy lifestyles. This study explored the contribution of school participation in HPS on students’ health behaviors, namely, physical activity (PA), sedentary behavior, and dieting. Data from the 2018/2019 Health Behavior in School-aged Children study on Israeli adolescents aged 11–17 years were used. Schools were selected from a sample of HPSs and non-HPSs. Between-group differences and predictions of health behavior were analyzed. No between-group differences were observed in mean number of days/week with at least 60 min of PA (HPS: 3.84 ± 2.19 days/week, 95% confidence interval of the mean = 3.02–3.34; non-HPS: 3.93 ± 2.17 days/week, 95% confidence interval of the mean = 3.13–3.38). Most children engaged in screen time behavior for >2 h/day (HPS: 60.83%; non-HPS: 63.91%). The odds of being on a diet were higher among more active children (odds ratio [OR] = 1.20), higher socio-economic status (OR = 1.23), and female (OR = 2.29). HPS did not predict any health behavior. These findings suggest that HPSs did not contribute to health behaviors more than non-HPSs. Therefore, health-promoting activities in HPSs need to be improved in order to justify their recognition as members of the HPS network and to fulfill their mission.

scholarly journals Effects of Two Randomized and Controlled Multi-Component Interventions Focusing On 24-Hour Movement Behavior among Office Workers: A Compositional Data Analysis

2021 ◽  
Vol 18 (8) ◽  
pp. 4191
Author(s):  
Lisa-Marie Larisch ◽  
Emil Bojsen-Møller ◽  
Carla F. J. Nooijen ◽  
Victoria Blom ◽  
Maria Ekblom ◽  
...  
Keyword(s):  
Physical Activity ◽  
Data Analysis ◽  
Cardiorespiratory Fitness ◽  
Leisure Time ◽  
Compositional Data ◽  
Office Workers ◽  
Movement Behavior ◽  
Compositional Data Analysis ◽  
Intervention Effects ◽  
Time In Bed

Intervention studies aiming at changing movement behavior have usually not accounted for the compositional nature of time-use data. Compositional data analysis (CoDA) has been suggested as a useful strategy for analyzing such data. The aim of this study was to examine the effects of two multi-component interventions on 24-h movement behavior (using CoDA) and on cardiorespiratory fitness among office workers; one focusing on reducing sedentariness and the other on increasing physical activity. Office workers (n = 263) were cluster randomized into one of two 6-month intervention groups, or a control group. Time spent in sedentary behavior, light-intensity, moderate and vigorous physical activity, and time in bed were assessed using accelerometers and diaries, both for 24 h in total, and for work and leisure time separately. Cardiorespiratory fitness was estimated using a sub-maximal cycle ergometer test. Intervention effects were analyzed using linear mixed models. No intervention effects were found, either for 24-h behaviors in total, or for work and leisure time behaviors separately. Cardiorespiratory fitness did not change significantly. Despite a thorough analysis of 24-h behaviors using CoDA, no intervention effects were found, neither for behaviors in total, nor for work and leisure time behaviors separately. Cardiorespiratory fitness did not change significantly. Although the design of the multi-component interventions was based on theoretical frameworks, and included cognitive behavioral therapy counselling, which has been proven effective in other populations, issues related to implementation of and compliance with some intervention components may have led to the observed lack of intervention effect.

scholarly journals Novel Analytic Approaches to Investigate Minute-Level Actigraphy and Associations With Physical Function

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 194-195
Author(s):  
Kaiyuan Hua ◽  
Sheng Luo ◽  
Katherine Hall ◽  
Miriam Morey ◽  
Harvey Cohen
Keyword(s):  
Physical Activity ◽  
Data Analysis ◽  
Physical Function ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Gait Speed ◽  
Community Dwelling ◽  
Accelerometer Data ◽  
Single Leg Stance ◽  
Minute Walk

Abstract Background. Functional decline in conjunction with low levels of physical activity has implications for health risks in older adults. Previous studies have examined the associations between accelerometry-derived activity and physical function, but most of these studies reduced these data into average means of total daily physical activity (e.g., daily step counts). A new method of analysis “functional data analysis” provides more in-depth capability using minute-level accelerometer data. Methods. A secondary analysis of community-dwelling adults ages 30 to 90+ residing in southwest region of North Carolina from the Physical Performance across the Lifespan (PALS) study. PALS assessments were completed in-person at baseline and one-week of accelerometry. Final analysis includes 669 observations at baseline with minute-level accelerometer data from 7:00 to 23:00, after removing non-wear time. A novel scalar-on-function regression analysis was used to explore the associations between baseline physical activity features (minute-by-minute vector magnitude generated from accelerometer) and baseline physical function (gait speed, single leg stance, chair stands, and 6-minute walk test) with control for baseline age, sex, race and body mass index. Results. The functional regressions were significant for specific times of day indicating increased physical activity associated with increased physical function around 8:00, 9:30 and 15:30-17:00 for rapid gait speed; 9:00-10:30 and 15:00-16:30 for normal gait speed; 9:00-10:30 for single leg stance; 9:30-11:30 and 15:00-18:00 for chair stands; 9:00-11:30 and 15:00-18:30 for 6-minute walk. Conclusion. This method of functional data analysis provides news insights into the relationship between minute-by-minute daily activity and health.

scholarly journals MEASUREMENT PROPERTIES OF A STANDARDIZED ELICITED IMITATION TEST: AN INTEGRATIVE DATA ANALYSIS

2021 ◽  
pp. 1-27
Author(s):  
Daniel R. Isbell ◽  
Young-A Son
Keyword(s):  
Second Language ◽  
Data Analysis ◽  
Second Language Acquisition ◽  
Item Difficulty ◽  
Measurement Properties ◽  
Linguistic Features ◽  
Elicited Imitation ◽  
Integrative Data Analysis ◽  
Rater Severity ◽  
Study Participants

Abstract Elicited Imitation Tests (EITs) are commonly used in second language acquisition (SLA)/bilingualism research contexts to assess the general oral proficiency of study participants. While previous studies have provided valuable EIT construct-related validity evidence, some key gaps remain. This study uses an integrative data analysis to further probe the validity of the Korean EIT score interpretations by examining the performances of 318 Korean learners (198 second language, 79 foreign language, and 41 heritage) on the Korean EIT scored by five different raters. Expanding on previous EIT validation efforts, this study (a) examined both inter-rater reliability and differences in rater severity, (b) explored measurement bias across subpopulations of language learners, (c) identified relevant linguistic features which relate to item difficulty, and (d) provided a norm-referenced interpretation for Korean EIT scores. Overall, findings suggest that the Korean EIT can be used in diverse SLA/bilingualism research contexts, as it measures ability similarly across subgroups and raters.

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 The Impact of a Workplace Wellness Program on Provider Health in Early Childhood Education Settings

2019 ◽  
Vol 68 (2) ◽  
pp. 65-72 ◽  
Author(s):  
Jamie N. Powers ◽  
Charlotte V. Farewell ◽  
Emily Maiurro ◽  
Jini Puma
Keyword(s):  
Physical Activity ◽  
Early Childhood ◽  
Logistic Regression ◽  
Early Childhood Education ◽  
Health Behaviors ◽  
Healthy Eating ◽  
Fruits And Vegetables ◽  
Workplace Wellness ◽  
Physically Active ◽  
Childhood Education

Background: Early childhood education (ECE) working environments often contribute to poor health outcomes. The purpose of this study was to describe healthy eating–related and physical activity–related awareness and adoption of behavior change of ECE providers after participating in a workplace wellness (WW) program and to explore facilitators and barriers to ECE provider participation in WW program. Methods: The WW program offered healthy eating and physical activity challenges to promote ECE provider health and well-being. Approximately 1,000 ECE providers in Colorado from 35 ECE settings were invited to participate. After the intervention, ECE providers completed two surveys: (a) a provider postsurvey and (b) a WW challenge survey. Multivariable logistic regression modeling was used to examine factors associated with percent agreement that participation in the WW program increased awareness and adoption of health behaviors. Findings: A total of 250 (25%) ECE providers participated in WW program from 2015 to 2017. After participation, approximately 84% of respondents agreed they were more aware of the importance of eating fruits and vegetables and of being physically active, while 81% reported eating more fruits and vegetables, and 80% reported being more physically active in the workplace. Logistic regression models found that the length of time teaching in ECE settings was positively and significantly associated (odds ratio [OR] = 1.10, 95% confidence interval [CI] = [1.00, 1.21]) with the odds of providers agreeing that participation in the WW program increased their awareness of health behaviors. Conclusion/Application to Practice: The design and implementation of WW programs that emphasize facilitators, such as intrinsic and extrinsic motivation, as well as reduce barriers, such as time constraints and unachievable goal setting, may increase the awareness and adoptions of healthy eating–related and physical activity–related behaviors among ECE work settings.

Sign in / Sign up

Export Citation Format

Share Document