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Battaglia E, Greenle MM, Dowdell EB. Adolescent E-cigarette use and associated socio-contextual variables, psychological variables, and problem behaviors. J Pediatr Nurs 2025; 82:109-115. [PMID: 40058096 DOI: 10.1016/j.pedn.2025.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 01/24/2025] [Accepted: 02/20/2025] [Indexed: 05/13/2025]
Abstract
PURPOSE E-cigarette use by adolescents has reached epidemic proportions. This study's purpose was to explore adolescent e-cigarette use and dual use of e-cigarettes with other tobacco products and the relationships between socio-contextual variables (in-school/electronic bullying, threats with a weapon), psychological variables (sadness, suicide attempts) and problem behaviors (alcohol/marijuana use, sexual risk behavior, weapon carrying). DESIGN AND METHODS Cross-sectional descriptive study using secondary data from the 2019 Youth Risk Behavior Survey. Multiple logistic regression was used to examine the relationship between socio-contextual variables, psychological variables, problem behaviors and current adolescent e-cigarette use or dual use. E-cigarette users and dual users were examined in separate regression equations. RESULTS Most adolescent e-cigarette users (59 %) and dual users (63 %) were white with e-cigarette only users being majority female (55 %) and dual users majority male (57 %). E-cigarette use was significantly correlated with experiencing electronic bullying, sadness, threats with a weapon, alcohol use, marijuana use, and sexual risk behaviors. Dual use was significantly correlated with experiencing electronic bullying, sadness, alcohol use, marijuana use, sexual risk behaviors, and weapon carrying. IMPLICATIONS TO PRACTICE Problem behaviors, psychological variables, and socio-contextual variables are associated with e-cigarette use. It is imperative that adolescents are screened for use in addition to other behaviors. CONCLUSIONS E-cigarette use and dual use of e-cigarettes and other tobacco products is linked to other problem behaviors and feelings of sadness, with dual users being at significantly higher risk. Adolescents should be screened for e-cigarette use and dual use at every health care visit.
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Affiliation(s)
- Emily Battaglia
- Widener University School of Nursing, United States of America; Villanova University M. Louise Fitzpatrick College of Nursing, United States of America.
| | | | - Elizabeth B Dowdell
- Villanova University M. Louise Fitzpatrick College of Nursing, United States of America
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Allison K, Koci A. Rural Appalachian Adolescent Alcohol Misuse and the Triple Threat for Marginalization. Issues Ment Health Nurs 2024; 45:816-825. [PMID: 38901012 DOI: 10.1080/01612840.2024.2358932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Rural Appalachian adolescents are disproportionately affected by alcohol misuse, depression, and mortality rates. Disparities in Appalachia influence national health indicators and the social determinants of health, which may lead to marginalization and vulnerability to poorer health outcomes. Geographic and social isolation often results in missed opportunities for preventative and mental health care. There are an estimated 35% fewer mental health providers in rural areas to deal with these issues. This article examines the influence of marginalization on rural Appalachian adolescents. A case example was used to describe rural Appalachian adolescent alcohol misuse within the context of the Triple Threat for Marginalization, utilizing conversation within a natural setting. Marginalization contributes to alcohol misuse and adverse health outcomes. Nurses must advocate for marginalized rural adolescent patients to decrease alcohol misuse, depression, and mortality rates in this vulnerable population.
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Affiliation(s)
- Kendra Allison
- School of Nursing, Clemson University, Clemson, South Carolina, USA
| | - Anne Koci
- Emerita of Nursing, Texas Woman's University, Denton, Texas, USA
- Fellow, American Academy of Nursing
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Rader L, Freis SM, Friedman NP. Associations Between Adolescent Pain and Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study. Behav Genet 2023; 53:232-248. [PMID: 37036551 PMCID: PMC10246734 DOI: 10.1007/s10519-023-10138-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 02/21/2023] [Indexed: 04/11/2023]
Abstract
Pain and psychopathology co-occur in adolescence, but the directionality and etiology of these associations are unclear. Using the pain questionnaire and the Child Behavior Checklist from the Adolescent Brain Cognitive Development study (n = 10,414 children [770 twin pairs] aged 12-13), we estimated longitudinal, co-twin control, and twin models to evaluate the nature of these associations. In two-wave cross-lag panel models, there were small cross-lag effects that suggested bidirectional associations. However, the co-twin control models suggested that most associations were familial. Pain at age 12 and 13 was mostly environmental (A = 0-12%, C = 15-30%, E = 70-73%) and the twin models suggested that associations with psychopathology were primarily due to shared environmental correlations. The exception was externalizing, which had a phenotypic prospective effect on pain, a significant within-family component, and a non-shared environmental correlation at age 12. Environmental risk factors may play a role in pain-psychopathology co-occurrence. Future studies can examine risk factors such as stressful life events.
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Affiliation(s)
- Lydia Rader
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
| | - Samantha M Freis
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
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Dubey VP, Randell KA, Masonbrink AR, Pickett ML, Sherman AK, Ramaswamy M, Miller MK. Justice System Involvement Among Adolescents in the Emergency Department. J Pediatr 2021; 236:284-290. [PMID: 33811870 PMCID: PMC8403109 DOI: 10.1016/j.jpeds.2021.03.048] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 03/04/2021] [Accepted: 03/25/2021] [Indexed: 01/26/2023]
Abstract
OBJECTIVE To assess justice system involvement among adolescents in the pediatric emergency department and identify associations with risk and protective factors. STUDY DESIGN We conducted a cross-sectional, computerized survey of adolescents to assess for personal, justice system involvement, and nonhousehold justice system involvement (ie, important people outside of household). We assessed sexual behaviors, violent behaviors, substance use, school suspension/expulsion, parental supportiveness, and participant mood (score <70 indicates psychological distress). We compared differences between groups using the χ2 tests, Fisher exact tests, t tests, and performed multivariable logistic regression analyses. RESULTS We enrolled 191 adolescents (mean age 16.1 years, 61% female). Most (68%) reported justice system involvement: personal (13%), household (42%), and nonhousehold (40%). Nearly one-half (47%) were sexually active and 50% reported school suspension/expulsion. The mean score for mood was 70.1 (SD 18); adolescents with justice system involvement had had lower mood scores (68 vs 74, P = .03) compared with those without justice system involvement. In a multivariable model, school expulsion/suspension was significantly associated with reporting any justice system involvement (OR 10.4; 95% CI 4.8-22.4). CONCLUSIONS We identified the pediatric emergency department as a novel location to reach adolescents at risk for poor health outcomes associated with justice system involvement. Future work should assess which health promotion interventions and supports are desired among these adolescents and families.
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Affiliation(s)
- Vivek P Dubey
- Pediatric Emergency Medicine, Children's Mercy Hospital, Kansas City, MO; The University of Missouri Kansas City, Kansas City, MO; The University of Kansas, School of Medicine, Kansas City, KS.
| | - Kimberly A Randell
- Pediatric Emergency Medicine, Children's Mercy Hospital, Kansas City, MO; The University of Missouri Kansas City, Kansas City, MO; The University of Kansas, School of Medicine, Kansas City, KS
| | - Abbey R Masonbrink
- Hospital Medicine, Children's Mercy Hospital, Kansas City, MO; The University of Missouri Kansas City, Kansas City, MO; The University of Kansas, School of Medicine, Kansas City, KS
| | - Michelle L Pickett
- Pediatric Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI
| | | | - Megha Ramaswamy
- Population Health, University of Kansas School of Medicine, Kansas City, KS
| | - Melissa K Miller
- Pediatric Emergency Medicine, Children's Mercy Hospital, Kansas City, MO; The University of Missouri Kansas City, Kansas City, MO; The University of Kansas, School of Medicine, Kansas City, KS
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Whitaker V, Oldham M, Boyd J, Fairbrother H, Curtis P, Meier P, Holmes J. Clustering of health-related behaviours within children aged 11-16: a systematic review. BMC Public Health 2021; 21:137. [PMID: 33446174 PMCID: PMC7807795 DOI: 10.1186/s12889-020-10140-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 12/28/2020] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE We aimed to systematically review and synthesise evidence on the clustering of a broad range of health-related behaviours amongst 11-16 year olds. METHOD A literature search was conducted in September 2019. Studies were included if they used cluster analysis, latent class analysis, prevalence odds ratios, principal component analysis or factor analysis, and considered at least three health-related behaviours of interest among 11-16 year olds in high-income countries. Health-related behaviours of interest were substance use (alcohol, cigarettes and other drug use) and other behavioural risk indicators (diet, physical activity, gambling and sexual activity). RESULTS The review identified 41 studies, which reported 198 clusters of health-related behaviours of interest. The behaviours of interest reported within clusters were used to define eight behavioural archetypes. Some included studies only explored substance use, while others considered substance use and/or other health-related behaviours. Consequently, three archetypes were comprised by clusters reporting substance use behaviours alone. The archetypes were: (1) Poly-Substance Users, (2) Single Substance Users, (3) Substance Abstainers, (4) Substance Users with No/Low Behavioural Risk Indicators, (5) Substance Abstainers with Behavioural Risk Indicators, (6) Complex Configurations, (7) Overall Unhealthy and (8) Overall Healthy. CONCLUSION Studies of youth health behavioural clustering typically find both a 'healthy' cluster and an 'unhealthy' cluster. Unhealthy clusters are often characterised by poly-substance use. Our approach to synthesising cluster analyses may offer a means of navigating the heterogeneity of method, measures and behaviours of interest in this literature.
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Affiliation(s)
| | - Melissa Oldham
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Jennifer Boyd
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | | | - Penny Curtis
- Health Sciences School, University of Sheffield, Sheffield, UK
| | - Petra Meier
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - John Holmes
- School of Health and Related Research, University of Sheffield, Sheffield, UK
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Are psychological symptoms a risk factor for musculoskeletal pain in adolescents? Eur J Pediatr 2021; 180:2173-2183. [PMID: 33655417 PMCID: PMC8195761 DOI: 10.1007/s00431-021-04002-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/31/2021] [Accepted: 02/18/2021] [Indexed: 12/21/2022]
Abstract
Adolescent musculoskeletal pain is common and is associated with musculoskeletal pain in adulthood. Psychological symptoms, also common in adolescence, have been shown to be associated with musculoskeletal pain, but the current evidence is mixed and may be dependent on effect modifiers. This study investigated whether adolescents with psychological symptoms (internalizing and externalizing constructs) at age 13 years were at higher odds for musculoskeletal pain at age 17 years and whether the associations were modified by pubertal status and sex. A prospective cohort design examined data on 3865 adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC). Associations between baseline (aged 13 years) internalizing and externalizing symptoms and musculoskeletal pain at follow-up (aged 17 years) were investigated using logistic regression producing odds ratios (OR) and 95% confidence intervals (95% CI). In total 43.1% of adolescents reported musculoskeletal pain at follow-up. Externalizing symptoms at baseline increased the odds of musculoskeletal pain (OR 1.68, 95% CI 1.28, 2.20), and internalizing symptoms demonstrated a non-significant increase (OR 1.26, 95% CI 0.98, 1.62). Effect modification analysis showed an increased effect dependent on pubertal status.Conclusion: Adolescents with externalizing symptoms, and to some extent internalizing symptoms, are at increased odds of later musculoskeletal pain. Future research is now required to understand the reasons for these associations. What is Known: • Current evidence regarding the association between internalizing symptoms and externalizing symptoms and future musculoskeletal pain in adolescents is mixed. What is New: • This study found that adolescents with externalizing symptoms, and to some extent internalizing symptoms, are at increased odds for musculoskeletal pain, with an increased influence dependent on pubertal status. • These results are of interest for the development of timely preventative interventions designed to reduce the risk of musculoskeletal pain.
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Halladay J, Woock R, El-Khechen H, Munn C, MacKillop J, Amlung M, Ogrodnik M, Favotto L, Aryal K, Noori A, Kiflen M, Georgiades K. Patterns of substance use among adolescents: A systematic review. Drug Alcohol Depend 2020; 216:108222. [PMID: 32971420 DOI: 10.1016/j.drugalcdep.2020.108222] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 07/10/2020] [Accepted: 07/28/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE This review characterizes empirically derived patterns of multiple (multi-) substance use among adolescents. A secondary objective was to examine the extent to which mental health symptomatology was included in the empirical analyses examining substance use patterns. METHODS Eligible studies included those that used cluster-based approaches, included the assessment of at least two different substances, and were based on study samples with mean ages between 11 and 18 years. 4665 records were screened including 461 studies for full-text screening. RESULTS 70 studies were included with common clusters being: low use, single or dual substance use, moderate general multi-use, and high multi-use. The most common patterns of single or multi-substance use were: alcohol only, alcohol with cannabis and/or tobacco, and use of alcohol, tobacco, and cannabis with and without other drugs. Lower socioeconomic status, older age, and male gender were consistent predictors of multi-use clusters. Only 37 % of studies compared differences in levels of mental health across clusters with symptoms consistently associated with a greater likelihood of multi-use. Only 29 % of studies included mental health indicators in cluster-based analyses, with over half identifying distinct mental health and substance use clusters. Fit indices in cluster analyses and measurement properties of substance use were heterogeneous and inconsistently reported across studies. CONCLUSIONS Distinct patterns of substance use were derived but methodological differences prevented direct comparison and reduced capacity to generalize across studies. There is a need to establish standardized methodological approaches to identify robust patterns of substance use to enhance etiological, prognostic, and intervention research.
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Affiliation(s)
- Jillian Halladay
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada.
| | - R Woock
- Department of Social Sciences, McMaster University, Canada.
| | - H El-Khechen
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada.
| | - C Munn
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada.
| | - J MacKillop
- Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada.
| | - M Amlung
- Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Michael G. DeGroote Centre for Medicinal Cannabis Research, McMaster University, Canada.
| | - M Ogrodnik
- NeuroFit Lab, Department of Kinesiology, McMaster University, Canada.
| | - L Favotto
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada.
| | - K Aryal
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada.
| | - A Noori
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada.
| | - M Kiflen
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Population Health Research Institute, Hamilton, ON, Canada.
| | - K Georgiades
- Department of Health Research, Evidence, and Impact, McMaster University, 1280 Main Street West, Hamilton ON L8S 4S4, Canada; Department of Psychiatry & Behavioral Neurosciences, McMaster University, Canada; Offord Centre for Child Studies, McMaster University, Canada.
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