Literature DB >> 33648787

Adolescents' Patterns of Well-Care Use Over Time: Who Stays Connected.

Kathryn Van Eck1, Madhuli Thakkar2, Pamela A Matson2, Lingxin Hao3, Arik V Marcell4.   

Abstract

INTRODUCTION: Well-care use can positively impact adolescents' current and future health. Understanding adolescents' longitudinal well-care use is critical to determine to whom and when to target engagement strategies to improve healthcare access. This study describes prospective well-care use patterns from childhood through adolescence stratified by sex.
METHODS: The sample (N=6,872) was drawn from the Child/Young Adult component of the household-based 1979 National Longitudinal Survey of Youth consisting of biological children born to female respondents (1980-1997). Well-care use (routine checkup with a doctor within last year) data were assessed from age 5 years (1986-2003) until age 17 years (1998-2015). Conducted in 2019, latent class analyses stratified by sex identified well-care use patterns reported over 7 biennial time points adjusted for cohort, race/ethnicity, urbanicity, maternal education, and insurance.
RESULTS: A total of 4 well-care use classes emerged for female adolescents: the majority belonged to Engaged (37%) and Moderately Engaged (39%) classes and the remainder belonged to Gradually Re-engaged (14%) and Disengaged-with-Rebound (10%) classes. A total of 3 classes emerged for male adolescents: the majority belonged to the Persistently Disengaged (48%) class and the remainder belonged to Engaged (34%) and Gradually Re-engaged (18%) classes. For both sexes, comparing each cohort with the first, Engaged class membership increased for subsequent cohorts. Less engaged well-care use classes had more non-Hispanic White adolescents living in rural areas with lower insurance coverage. Maternal education differentiated well-care use classes for male but not for female adolescents, being higher for male adolescents in the Engaged class than in other classes.
CONCLUSIONS: These findings highlight that well-care use patterns for both sexes changed during the transition from childhood to adolescence and that class membership differed by covariates. These results suggest that sex-specific strategies may be needed to enhance adolescents' well-care use engagement over time.
Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2021        PMID: 33648787      PMCID: PMC8068632          DOI: 10.1016/j.amepre.2020.12.008

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  26 in total

1.  Developing quality measures for adolescent care: validity of adolescents' self-reported receipt of preventive services.

Authors:  J D Klein; C A Graff; J S Santelli; V A Hedberg; M J Allan; A B Elster
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2.  Does delivering preventive services in primary care reduce adolescent risky behavior?

Authors:  Elizabeth M Ozer; Sally H Adams; Joan K Orrell-Valente; Charles J Wibbelsman; Julie L Lustig; Susan G Millstein; Andrea K Garber; Charles E Irwin
Journal:  J Adolesc Health       Date:  2011-06-08       Impact factor: 5.012

3.  A mixture model of discontinuous development in heavy drinking from ages 18 to 30: the role of college enrollment.

Authors:  Stephanie T Lanza; Linda M Collins
Journal:  J Stud Alcohol       Date:  2006-07

Review 4.  Missing data analysis: making it work in the real world.

Authors:  John W Graham
Journal:  Annu Rev Psychol       Date:  2009       Impact factor: 24.137

5.  Adolescent and Young Adult Preventive Care: Comparing National Survey Rates.

Authors:  Sally H Adams; M Jane Park; Charles E Irwin
Journal:  Am J Prev Med       Date:  2015-04-29       Impact factor: 5.043

6.  Increasing Delivery of Preventive Services to Adolescents and Young Adults: Does the Preventive Visit Help?

Authors:  Sally H Adams; M Jane Park; Lauren Twietmeyer; Claire D Brindis; Charles E Irwin
Journal:  J Adolesc Health       Date:  2018-06-19       Impact factor: 5.012

7.  Annual physical examination reports vary by gender once teenagers become sexually active.

Authors:  Arik V Marcell; Pam Matson; Jonathan M Ellen; Carol A Ford
Journal:  J Adolesc Health       Date:  2011-03-12       Impact factor: 5.012

Review 8.  The children's hour: the State Children's Health Insurance Program.

Authors:  S Rosenbaum; K Johnson; C Sonosky; A Markus; C DeGraw
Journal:  Health Aff (Millwood)       Date:  1998 Jan-Feb       Impact factor: 6.301

9.  Adolescent primary care visit patterns.

Authors:  James D Nordin; Leif I Solberg; Emily D Parker
Journal:  Ann Fam Med       Date:  2010 Nov-Dec       Impact factor: 5.166

10.  Historical overview of children's health care coverage.

Authors:  Cindy Mann; Diane Rowland; Rachel Garfield
Journal:  Future Child       Date:  2003
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