Is socioeconomic status related to youth e-cigarette use? Examining family affluence and sexual identity

Azagba, Sunday; Ebling, Todd; Shan, Lingpeng

doi:10.1016/j.addbeh.2023.107636

Cited by 2 publications

(3 citation statements)

References 57 publications

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“…A previous study found SES to be positively associated with frequency of e-cigarette use, 14 while another study found it to be negatively associated with frequency of e-cigarette use 39 ; two other studies found no relationship between SES and e-cigarette use. 15,16 The lack of consistent findings on e-cigarette use and SES could be due to the heterogenous populations across studies (eg, youth and young adults in Connecticut vs Ohio vs California). Although SES approached significance in the univariate model, it was one of the first variables removed during the backward selection process, suggesting that even if a relationship does exist, it may be less important than other behavioral and product-specific factors.…”

Section: Discussionmentioning

confidence: 99%

“…It is also important to consider that AYAs using at high versus low frequency may differ on their personal characteristics. However, the evidence has been limited-and at times inconsistent-regarding how use frequency corresponds to characteristics such as socioeconomic status (SES), [13][14][15][16] gender, [17][18][19] race and ethnicity, 20 and age. 21 Likewise, tobacco-use behaviors, such as dual use of e-cigarettes and other tobacco products, 22 first tobacco product an individual tries, [23][24][25] and use of cannabis 26 warrant further investigation.…”

Section: Introductionmentioning

confidence: 99%

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Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency

Singer,

Tackett,

Klein

et al. 2024

Substance Use & Addiction Journal

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Background: Among adolescents and young adults (AYAs), “current use” of electronic cigarettes (e-cigarettes) is commonly defined as any use in the past 30 days. However, few studies have examined differences among those within this broad category. This study examined characteristics of AYAs who used e-cigarettes at a low frequency (within the last 3 months but <6 days out of the past 30 days) and those who used e-cigarettes at a high frequency (6+ days out of the past 30 days). Methods: We conducted cross-sectional analyses among 551 Ohio AYAs (15- to 24-year-olds) who reported using an e-cigarette to vape nicotine in the past 3 months. We used descriptive statistics and logistic regression to characterize those using e-cigarettes at a low frequency and a high frequency. Results: Among our sample of AYAs who reported past 3-month e-cigarette use, about half (50.8%) reported using an e-cigarette 6 or more days out of the past 30 days (ie, high frequency). In the multivariable analysis, reported nicotine dependence (Odds Ratio [OR]: 7.0, 95% CI: 4.8, 10.3) and current other tobacco product use (OR: 1.8, 95% CI: 1.1, 2.9) were associated with high-frequency e-cigarette use. Conclusion: Our results suggest that frequency of use is an important characteristic in understanding AYA e-cigarette use. Any use in the past 30 days may not be sensitive enough to understand dependence and tobacco-use behaviors. Further characterizing “current” e-cigarette use by frequency of use may provide meaningful information for public health professionals to better target intervention and cessation efforts to AYAs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency

Singer,

Tackett,

Klein

et al. 2024

Substance Use & Addiction Journal

View full text Add to dashboard Cite

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“…The pre-survey found that fourth graders were not able to accurately report their family income. Therefore, with reference to the existing literature [55][56][57], we adopted the commonly used family affluence scale to indicate family income status. The FAS II includes four items: (1) number of cars, (2) whether the participant has his or her own bedroom, (3) number of vacations, and (4) number of computers.…”

Section: Measures 221 Family Incomementioning

confidence: 99%

Family Income and Child Depression: The Chain Mediating Effect of Parental Involvement, Children’s Self-Esteem, and Group Differences

Quan,

Lei,

Zhu

et al. 2024

Children

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Family income is an important factor that affects depression in children and can indirectly be associated with children’s development through family and individual factors. However, few studies have examined the mechanism of multiple risk factors. Therefore, this study focused on the relationship between family income and child depression, as well as the chain mediating the roles of parental involvement and children’s self-esteem both in single-parent families and intact families. A total of 1355 primary school students completed questionnaires that assessed family income, parental involvement, children’s self-esteem, and depression. The results showed that family income influenced child depression through both the mediating roles of parental involvement and children’s self-esteem and the chain mediating role of parental involvement and children’s self-esteem. Meanwhile, family income only influenced child depression through chain mediation in single-parent families. The group differences in the mechanism of depression provide a reference for empirical research on depression intervention in children from different family structures.

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Is socioeconomic status related to youth e-cigarette use? Examining family affluence and sexual identity

Cited by 2 publications

References 57 publications

Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency

Demographic and Behavioral Differences Between Adolescents and Young Adults Who Use E-Cigarettes at Low and High Frequency

Family Income and Child Depression: The Chain Mediating Effect of Parental Involvement, Children’s Self-Esteem, and Group Differences

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