Literature DB >> 25702853

Longitudinal Correlates of Health Risk Behaviors in Children and Adolescents with Type 2 Diabetes.

Carolyn E Ievers-Landis1, Natalie Walders-Abramson2, Nancy Amodei3, Kimberly L Drews4, Joan Kaplan5, Lorraine E Levitt Katz6, Sylvia Lavietes7, Ron Saletsky8, Daniel Seidman9, Patrice Yasuda10.   

Abstract

OBJECTIVES: To characterize, during a 2-year period, the proportion of youth with type 2 diabetes (T2D) enrolled in the Treatment Options for Type 2 Diabetes in Adolescents and Youth study that reported ever at least trying smoking cigarettes and/or drinking alcohol. STUDY
DESIGN: Longitudinal data were examined for participants with T2D ages 10-18 years at baseline. Youth psychosocial, parent/family, environmental, and biological correlates of trying health risk behaviors were tested via cross-sectional multivariate models at each time point. Longitudinal models were explored for selected factors.
RESULTS: Data were obtained from the Treatment Options for Type 2 Diabetes in Adolescents and Youth study's ethnically diverse participants at baseline (N=644), 6-month (N=616), and 24-month (N=543) assessments. The percentage of youth ever trying only smoking remained stable at 4%; only drinking alcohol increased from 17% to 26%, and both smoking and drinking increased from 10% to 18% during the 2-year period. Factors related to trying health risk behaviors were older age, male sex, non-Hispanic white race-ethnicity, lower grades, more depressive symptoms, and stressful life events. Depressive symptoms, stressful life events, and body mass index Z-score (the latter with smoking only) were related to engagement in health risk behaviors over time.
CONCLUSIONS: Youth with T2D who are already at risk for health complications and who reported engaging in activities that further increase the likelihood of life-threatening morbidities were characterized. Although most correlates of trying these risk behaviors are nonmodifiable, intervention efforts may need to focus on potentially modifiable factors, such as depressive symptoms and lower grades.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25702853      PMCID: PMC4414713          DOI: 10.1016/j.jpeds.2015.01.019

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  21 in total

1.  Vulnerability to smoking after trying a single cigarette can lie dormant for three years or more.

Authors:  J A Fidler; J Wardle; N Henning Brodersen; M J Jarvis; R West
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

2.  Age at drinking onset and alcohol dependence: age at onset, duration, and severity.

Authors:  Ralph W Hingson; Timothy Heeren; Michael R Winter
Journal:  Arch Pediatr Adolesc Med       Date:  2006-07

3.  Psychiatric and psychosocial predictors of substance use disorders among adolescents: longitudinal study.

Authors:  Susan S F Gau; Mian-Yoon Chong; Pincheng Yang; Cheng-Fang Yen; Kung-Yee Liang; Andrew T A Cheng
Journal:  Br J Psychiatry       Date:  2007-01       Impact factor: 9.319

4.  Images of smokers and willingness to smoke among African American pre-adolescents: an application of the prototype/willingness model of adolescent health risk behavior to smoking initiation.

Authors:  Meg Gerrard; Frederick X Gibbons; Michelle L Stock; Linda S Vande Lune; Michael J Cleveland
Journal:  J Pediatr Psychol       Date:  2005-02-23

5.  Longitudinal examination of underage drinking and subsequent drinking and risky driving.

Authors:  Jennifer S Zakrajsek; Jean T Shope
Journal:  J Safety Res       Date:  2006-11-22

6.  Health-compromising behaviors: why do adolescents smoke or drink?: identifying underlying risk and protective factors.

Authors:  E Simantov; C Schoen; J D Klein
Journal:  Arch Pediatr Adolesc Med       Date:  2000-10

7.  The effect of age at smoking initiation on lung cancer risk.

Authors:  K T Hegmann; A M Fraser; R P Keaney; S E Moser; D S Nilasena; M Sedlars; L Higham-Gren; J L Lyon
Journal:  Epidemiology       Date:  1993-09       Impact factor: 4.822

8.  Substance use among adolescents with diabetes mellitus: preliminary findings.

Authors:  M A Gold; J Gladstein
Journal:  J Adolesc Health       Date:  1993-03       Impact factor: 5.012

9.  Treatment options for type 2 diabetes in adolescents and youth: a study of the comparative efficacy of metformin alone or in combination with rosiglitazone or lifestyle intervention in adolescents with type 2 diabetes.

Authors:  P Zeitler; L Epstein; M Grey; K Hirst; F Kaufman; W Tamborlane; D Wilfley
Journal:  Pediatr Diabetes       Date:  2007-04       Impact factor: 4.866

10.  Health risk behavior assessment: nutrition, weight, and tobacco use in one urban seventh-grade class.

Authors:  Elizabeth Burgess Dowdell; Mary Ellen Santucci
Journal:  Public Health Nurs       Date:  2004 Mar-Apr       Impact factor: 1.462

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  2 in total

Review 1.  Hypertriglyceridemia in Diabetes Mellitus: Implications for Pediatric Care.

Authors:  Jacob C Hartz; Sarah de Ferranti; Samuel Gidding
Journal:  J Endocr Soc       Date:  2018-05-01

2.  Metformin monotherapy in children and adolescents with type 2 diabetes mellitus in Japan.

Authors:  Nobuo Matsuura; Shin Amemiya; Shigetaka Sugihara; Tatsuhiko Urakami; Nobuyuki Kikuchi; Hiroshi Kato; Yasuhide Yodo
Journal:  Diabetol Int       Date:  2018-06-27
  2 in total

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