ArticleJournal of gerontological nursing2015
A Data Mining Approach for Examining Predictors of Physical Activity Among Urban Older Adults.
Article in Journal of gerontological nursing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Psychosocial-Behavioral Phenotyping: A Novel Precision Health Approach to Modeling Behavioral, Psychological, and Social Determinants of Health Using Machine Learning.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Article
- Trends in Poor Health Indicators Among Black and Hispanic Middle-aged and Older Adults in the United States, 1999-2018.JAMA network open · 2020Article
- Correlates of physical activity behavior in adults: a data mining approach.The international journal of behavioral nutrition and physical activity · 2020Article
- Association Between Health Literacy and Medication Adherence Among Hispanics with Hypertension.Journal of racial and ethnic health disparities · 2019Article
- Machine Learning to Identify Behavioral Determinants of Oral Health in Inner City Older Hispanic Adults.Studies in health technology and informatics · 2018Article
- A Data Mining Approach for Exploring Correlates of Self-Reported Comparative Physical Activity Levels of Urban Latinos.Studies in health technology and informatics · 2016Article
- Understanding the impact of digital technology on the well-being of older immigrants and refugees: A scoping review.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The current study applied innovative data mining techniques to a community survey dataset to develop prediction models for two aspects of physical activity (i.e., active transport and screen time) in a sample of urban, primarily Hispanic, older adults (N=2,514). Main predictors for active transport (accuracy=69.29%, precision=0.67, recall=0.69) were immigrant status, high level of anxiety, having a place for physical activity, and willingness to make time for physical activity. The main predictors for screen time (accuracy=63.13%, precision=0.60, recall=0.63) were willingness to make time for exercise, having a place for exercise, age, and availability of family support to access health information on the Internet. Data mining methods were useful to identify intervention targets and inform design of customized interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.