scholarly journals Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging

10.2196/24887 ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. e24887
Author(s):  
Zack van Allen ◽  
Simon L Bacon ◽  
Paquito Bernard ◽  
Heather Brown ◽  
Sophie Desroches ◽  
...  
Keyword(s):  
Health Care ◽  
Life Satisfaction ◽  
Longitudinal Study ◽  
Health Behavior ◽  
Health Care Utilization ◽  
Health Behaviors ◽  
Everyday Life ◽  
Baseline Data ◽  
Health Science ◽  
Care Utilization

Background Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are leading risk factors for noncommunicable chronic diseases and play a central role in limiting health and life satisfaction. To date, however, health behaviors tend to be considered separately from one another, resulting in guidelines and interventions for healthy aging siloed by specific behaviors and often focused only on a given health behavior without considering the co-occurrence of family, social, work, and other behaviors of everyday life. Objective The aim of this study is to understand how behaviors cluster and how such clusters are associated with physical and mental health, life satisfaction, and health care utilization may provide opportunities to leverage this co-occurrence to develop and evaluate interventions to promote multiple health behavior changes. Methods Using cross-sectional baseline data from the Canadian Longitudinal Study on Aging, we will perform a predefined set of exploratory and hypothesis-generating analyses to examine the co-occurrence of health and everyday life behaviors. We will use agglomerative hierarchical cluster analysis to cluster individuals based on their behavioral tendencies. Multinomial logistic regression will then be used to model the relationships between clusters and demographic indicators, health care utilization, and general health and life satisfaction, and assess whether sex and age moderate these relationships. In addition, we will conduct network community detection analysis using the clique percolation algorithm to detect overlapping communities of behaviors based on the strength of relationships between variables. Results Baseline data for the Canadian Longitudinal Study on Aging were collected from 51,338 participants aged between 45 and 85 years. Data were collected between 2010 and 2015. Secondary data analysis for this project was approved by the Ottawa Health Science Network Research Ethics Board (protocol ID #20190506-01H). Conclusions This study will help to inform the development of interventions tailored to subpopulations of adults (eg, physically inactive smokers) defined by the multiple behaviors that describe their everyday life experiences. International Registered Report Identifier (IRRID) DERR1-10.2196/24887

scholarly journals Clustering of Unhealthy Behaviors: Protocol for a Multiple Behavior Analysis of Data From the Canadian Longitudinal Study on Aging (Preprint)

2020 ◽  
Author(s):  
Zack van Allen ◽  
Simon L Bacon ◽  
Paquito Bernard ◽  
Heather Brown ◽  
Sophie Desroches ◽  
...  
Keyword(s):  
Health Care ◽  
Life Satisfaction ◽  
Longitudinal Study ◽  
Health Behavior ◽  
Health Care Utilization ◽  
Health Behaviors ◽  
Everyday Life ◽  
Baseline Data ◽  
Health Science ◽  
Care Utilization

BACKGROUND Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are leading risk factors for noncommunicable chronic diseases and play a central role in limiting health and life satisfaction. To date, however, health behaviors tend to be considered separately from one another, resulting in guidelines and interventions for healthy aging siloed by specific behaviors and often focused only on a given health behavior without considering the co-occurrence of family, social, work, and other behaviors of everyday life. OBJECTIVE The aim of this study is to understand how behaviors cluster and how such clusters are associated with physical and mental health, life satisfaction, and health care utilization may provide opportunities to leverage this co-occurrence to develop and evaluate interventions to promote multiple health behavior changes. METHODS Using cross-sectional baseline data from the Canadian Longitudinal Study on Aging, we will perform a predefined set of exploratory and hypothesis-generating analyses to examine the co-occurrence of health and everyday life behaviors. We will use agglomerative hierarchical cluster analysis to cluster individuals based on their behavioral tendencies. Multinomial logistic regression will then be used to model the relationships between clusters and demographic indicators, health care utilization, and general health and life satisfaction, and assess whether sex and age moderate these relationships. In addition, we will conduct network community detection analysis using the clique percolation algorithm to detect overlapping communities of behaviors based on the strength of relationships between variables. RESULTS Baseline data for the Canadian Longitudinal Study on Aging were collected from 51,338 participants aged between 45 and 85 years. Data were collected between 2010 and 2015. Secondary data analysis for this project was approved by the Ottawa Health Science Network Research Ethics Board (protocol ID #20190506-01H). CONCLUSIONS This study will help to inform the development of interventions tailored to subpopulations of adults (eg, physically inactive smokers) defined by the multiple behaviors that describe their everyday life experiences. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/24887

Longitudinal Medication Adherence in Older Adults With Multimorbidity and Association With Health Care Utilization: Results From the Irish Longitudinal Study on Ageing

2020 ◽  
Vol 55 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Caroline A. Walsh ◽  
Caitriona Cahir ◽  
Kathleen E. Bennett
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Longitudinal Study ◽  
Medication Adherence ◽  
Health Care Utilization ◽  
Negative Binomial ◽  
Care Utilization ◽  
Multiple Chronic Conditions ◽  
Visit Rate ◽  
Management Interventions

Background: The association between objectively measured nonadherence and health care utilization in multimorbid older people is unclear. Objective: To measure medication adherence across multiple chronic conditions, identify adherence patterns, and estimate the association between adherence and self-reported health care utilization. Methods: This is a retrospective cohort study of multimorbid participants aged ≥70 years in the Irish LongituDinal Study on Ageing (TILDA). Eligible participants had linked pharmacy claims data and completed TILDA wave 2 (2 years after wave 1). The RxRisk-V tool was used to identify multimorbidity. Average adherence (AA) across RxRisk-V conditions was estimated using the CMA7 function (AdhereR). Group-based trajectory models (GBTMs) identified adherence patterns in the 12 months following wave 1. Negative binomial regression was used to estimate the association between adherence and the rate of subsequent self-reported general practitioner [GP] visits, emergency department (ED) visits, outpatient visits, and hospitalizations in the 12 months following adherence measurement (reported at wave 2). Adjusted Incident Rate Ratios (aIRR) and 95% CIs are presented. Results: Higher AA (CMA7) was associated with a small significant decrease in GP visit rate (aIRR = 0.70; CI = 0.53-0.94) and outpatient visit rate (aIRR = 0.44; CI = 0.23-0.81). GBTM identified 6 adherence groups (n = 1050). Compared with high adherers, group 1 (rapid decline, modest increase) membership (aIRR = 1.72; CI = 1.09-2.73) and group 4 (high adherence, delayed decline) membership (aIRR = 1.92; CI = 1.19-3.05) significantly increased ED visit rate. Conclusion and Relevance: Suboptimal medication adherence in multimorbid older adults is associated with increased health care utilization. Identification of suboptimal adherence groups for medication management interventions may help decrease the health system burden and health care costs.

Dizziness: Anxiety, health care utilization and health behavior—

2009 ◽  
Vol 66 (5) ◽  
pp. 417-424 ◽  
Author(s):  
Jörg Wiltink ◽  
Regine Tschan ◽  
Matthias Michal ◽  
Claudia Subic-Wrana ◽  
Annegret Eckhardt-Henn ◽  
...  
Keyword(s):  
Health Care ◽  
Health Behavior ◽  
Health Care Utilization ◽  
Care Utilization

Health Behaviors, Physical Health, and Health Care Utilization in Children With ADHD

2018 ◽  
Vol 24 (7) ◽  
pp. 1011-1019 ◽  
Author(s):  
Se Jin Park ◽  
Hyesue Jang ◽  
Yeeun Lee ◽  
Chul Eung Kim ◽  
Subin Park
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Health Behaviors ◽  
Health Outcomes ◽  
Physical Health ◽  
Health Care Services ◽  
Care Utilization ◽  
Care Needs ◽  
Children With Adhd ◽  
Care Services

Objective: To compare health behaviors, physical health outcomes, and health care utilization between children with and without ADHD. Method: In this cross-sectional study, we obtained data for children with and without ADHD from the Korean National Health and Nutrition Examination Survey. To investigate the association between ADHD and health outcomes, we estimated the adjusted prevalence ratios (APRs) in these groups. Results: Among 10,838 children aged 7 to 18 years with and without ADHD, those with ADHD had significantly higher APRs for overall health problems, physical illness, and injuries than those without ADHD. Despite having health care needs, children with ADHD were less likely than those without ADHD to use health care services. However, there were no significant associations between most health behaviors and ADHD. Conclusion: Increased efforts are needed to provide quality health care services to address the medical conditions of children with ADHD and to enhance their health care utilization when needed.

scholarly journals Health Behaviors, Mental Health, and Health Care Utilization Among Single Mothers After Welfare Reforms in the 1990s

2016 ◽  
Vol 183 (6) ◽  
pp. 531-538 ◽  
Author(s):  
Sanjay Basu ◽  
David H. Rehkopf ◽  
Arjumand Siddiqi ◽  
M. Maria Glymour ◽  
Ichiro Kawachi
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Care Utilization ◽  
Health Behaviors ◽  
Single Mothers ◽  
Care Utilization ◽  
Welfare Reforms

scholarly journals Impact of FDA Drug Risk Communications on Health Care Utilization and Health Behaviors

Medical Care ◽  
2012 ◽  
Vol 50 (6) ◽  
pp. 466-478 ◽  
Author(s):  
Stacie B. Dusetzina ◽  
Ashley S. Higashi ◽  
E. Ray Dorsey ◽  
Rena Conti ◽  
Haiden A. Huskamp ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Health Behaviors ◽  
Care Utilization ◽  
Drug Risk ◽  
Risk Communications
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