A latent class analysis of health lifestyles and suicidal behaviors among US adolescents

Yunyu Xiao, Meghan Romanelli, Michael Lindsey

Research output: Contribution to journalArticle

Abstract

Background: Previous studies have documented the link between individual health behaviors and suicide, but little is known about the influence of health lifestyles on suicide among adolescents. This study aims to identify the unobserved patterns of health behaviors and to examine their associations with adolescent suicidal behaviors to inform screening of suicidality. Methods: Data were derived from a nationally representative sample of adolescents (n = 14,506, ages 12–18, 50.9% female) in the national school-based 2017 Youth Risk Behavior Survey. Latent class analysis was performed based on 13 health behaviors related to diet (e.g., frequency of consuming breakfast, fruits/vegetables, soda), physical activity (frequencies of physical activity, sports team participation), sleep, and media use (TV/computers). Suicidal behaviors were measured by three dichotomized variables, including suicidal ideation, plan, and attempts. Multivariate logistic regressions were used to examine associations between identified classes and suicidal behaviors. Results: Four classes of health lifestyles were identified. Class 1 (23.6%) consistently engaged in health-promoting behaviors, including eating breakfast daily, high intake of fruits/vegetables, physically active, and infrequent use of TV/computers. Class 2 (37.7%) had an irregular diet, moderate exercise, and high computer use. Class 3 (31.8%) had moderate diet, frequent exercise, and moderate sleep. Class 4 (6.9%) had the lowest engagement in health-promoting behaviors. Class 4 had higher odds of suicide plan than Class 1 (OR = 1.50, 95% CI = 1.10–2.05). Notably, Class 2 and 3 were less likely to attempt suicide than Class 1 (OR = 0.74, 95% CI = 0.57–0.95 for Class 2; OR = 0.65, 95% CI = 0.48–0.89 for Class 3). Limitations: Due to the cross-sectional design, no causal inference can be drawn. Conclusions: Both Class 1 (consistent) and Class 4 (lowest) engagement in health-promoting behaviors were associated with increased suicidal behaviors. Suicide prevention efforts that examine both lifestyles are keys to early detection of suicidal ideation and plans, and prevention of suicide attempts.

Original languageEnglish (US)
Pages (from-to)116-126
Number of pages11
JournalJournal of Affective Disorders
Volume255
DOIs
StatePublished - Aug 1 2019

Fingerprint

Suicide
Life Style
Health Behavior
Health
Exercise
Suicidal Ideation
Breakfast
Diet
Vegetables
Fruit
Sleep
Adolescent Behavior
Feeding Behavior
Risk-Taking
Sports
Logistic Models

Keywords

  • Adolescents
  • Health behaviors
  • Health lifestyles
  • Latent class analysis
  • Suicidal behaviors

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Cite this

A latent class analysis of health lifestyles and suicidal behaviors among US adolescents. / Xiao, Yunyu; Romanelli, Meghan; Lindsey, Michael.

In: Journal of Affective Disorders, Vol. 255, 01.08.2019, p. 116-126.

Research output: Contribution to journalArticle

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title = "A latent class analysis of health lifestyles and suicidal behaviors among US adolescents",
abstract = "Background: Previous studies have documented the link between individual health behaviors and suicide, but little is known about the influence of health lifestyles on suicide among adolescents. This study aims to identify the unobserved patterns of health behaviors and to examine their associations with adolescent suicidal behaviors to inform screening of suicidality. Methods: Data were derived from a nationally representative sample of adolescents (n = 14,506, ages 12–18, 50.9{\%} female) in the national school-based 2017 Youth Risk Behavior Survey. Latent class analysis was performed based on 13 health behaviors related to diet (e.g., frequency of consuming breakfast, fruits/vegetables, soda), physical activity (frequencies of physical activity, sports team participation), sleep, and media use (TV/computers). Suicidal behaviors were measured by three dichotomized variables, including suicidal ideation, plan, and attempts. Multivariate logistic regressions were used to examine associations between identified classes and suicidal behaviors. Results: Four classes of health lifestyles were identified. Class 1 (23.6{\%}) consistently engaged in health-promoting behaviors, including eating breakfast daily, high intake of fruits/vegetables, physically active, and infrequent use of TV/computers. Class 2 (37.7{\%}) had an irregular diet, moderate exercise, and high computer use. Class 3 (31.8{\%}) had moderate diet, frequent exercise, and moderate sleep. Class 4 (6.9{\%}) had the lowest engagement in health-promoting behaviors. Class 4 had higher odds of suicide plan than Class 1 (OR = 1.50, 95{\%} CI = 1.10–2.05). Notably, Class 2 and 3 were less likely to attempt suicide than Class 1 (OR = 0.74, 95{\%} CI = 0.57–0.95 for Class 2; OR = 0.65, 95{\%} CI = 0.48–0.89 for Class 3). Limitations: Due to the cross-sectional design, no causal inference can be drawn. Conclusions: Both Class 1 (consistent) and Class 4 (lowest) engagement in health-promoting behaviors were associated with increased suicidal behaviors. Suicide prevention efforts that examine both lifestyles are keys to early detection of suicidal ideation and plans, and prevention of suicide attempts.",
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N2 - Background: Previous studies have documented the link between individual health behaviors and suicide, but little is known about the influence of health lifestyles on suicide among adolescents. This study aims to identify the unobserved patterns of health behaviors and to examine their associations with adolescent suicidal behaviors to inform screening of suicidality. Methods: Data were derived from a nationally representative sample of adolescents (n = 14,506, ages 12–18, 50.9% female) in the national school-based 2017 Youth Risk Behavior Survey. Latent class analysis was performed based on 13 health behaviors related to diet (e.g., frequency of consuming breakfast, fruits/vegetables, soda), physical activity (frequencies of physical activity, sports team participation), sleep, and media use (TV/computers). Suicidal behaviors were measured by three dichotomized variables, including suicidal ideation, plan, and attempts. Multivariate logistic regressions were used to examine associations between identified classes and suicidal behaviors. Results: Four classes of health lifestyles were identified. Class 1 (23.6%) consistently engaged in health-promoting behaviors, including eating breakfast daily, high intake of fruits/vegetables, physically active, and infrequent use of TV/computers. Class 2 (37.7%) had an irregular diet, moderate exercise, and high computer use. Class 3 (31.8%) had moderate diet, frequent exercise, and moderate sleep. Class 4 (6.9%) had the lowest engagement in health-promoting behaviors. Class 4 had higher odds of suicide plan than Class 1 (OR = 1.50, 95% CI = 1.10–2.05). Notably, Class 2 and 3 were less likely to attempt suicide than Class 1 (OR = 0.74, 95% CI = 0.57–0.95 for Class 2; OR = 0.65, 95% CI = 0.48–0.89 for Class 3). Limitations: Due to the cross-sectional design, no causal inference can be drawn. Conclusions: Both Class 1 (consistent) and Class 4 (lowest) engagement in health-promoting behaviors were associated with increased suicidal behaviors. Suicide prevention efforts that examine both lifestyles are keys to early detection of suicidal ideation and plans, and prevention of suicide attempts.

AB - Background: Previous studies have documented the link between individual health behaviors and suicide, but little is known about the influence of health lifestyles on suicide among adolescents. This study aims to identify the unobserved patterns of health behaviors and to examine their associations with adolescent suicidal behaviors to inform screening of suicidality. Methods: Data were derived from a nationally representative sample of adolescents (n = 14,506, ages 12–18, 50.9% female) in the national school-based 2017 Youth Risk Behavior Survey. Latent class analysis was performed based on 13 health behaviors related to diet (e.g., frequency of consuming breakfast, fruits/vegetables, soda), physical activity (frequencies of physical activity, sports team participation), sleep, and media use (TV/computers). Suicidal behaviors were measured by three dichotomized variables, including suicidal ideation, plan, and attempts. Multivariate logistic regressions were used to examine associations between identified classes and suicidal behaviors. Results: Four classes of health lifestyles were identified. Class 1 (23.6%) consistently engaged in health-promoting behaviors, including eating breakfast daily, high intake of fruits/vegetables, physically active, and infrequent use of TV/computers. Class 2 (37.7%) had an irregular diet, moderate exercise, and high computer use. Class 3 (31.8%) had moderate diet, frequent exercise, and moderate sleep. Class 4 (6.9%) had the lowest engagement in health-promoting behaviors. Class 4 had higher odds of suicide plan than Class 1 (OR = 1.50, 95% CI = 1.10–2.05). Notably, Class 2 and 3 were less likely to attempt suicide than Class 1 (OR = 0.74, 95% CI = 0.57–0.95 for Class 2; OR = 0.65, 95% CI = 0.48–0.89 for Class 3). Limitations: Due to the cross-sectional design, no causal inference can be drawn. Conclusions: Both Class 1 (consistent) and Class 4 (lowest) engagement in health-promoting behaviors were associated with increased suicidal behaviors. Suicide prevention efforts that examine both lifestyles are keys to early detection of suicidal ideation and plans, and prevention of suicide attempts.

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