Correlates and outcomes associated with sexting among justice involved youth: The role of developmental adversity, emotional disinhibitions, relationship context, and dating violence

Yoder, Jamie; Hansen, Jesse; Precht, Madison

doi:10.1016/j.childyouth.2018.08.020

Cited by 11 publications

(7 citation statements)

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“…Recapitulating, this paper shows how certain conceptual and methodological choices influence prevalence estimates of sexting experiences among youths. Similar operationalizations of sexting [38] and a more detailed report of its defining elements would allow us to more accurately compare the prevalences of sexting and study the causes of its heterogeneity. In a nutshell, consensual methodological procedures must be established for use in both the fieldwork (e.g., sampling techniques, administration procedures) and analysis of sexting (e.g., actions, media content type, explicitness, temporal framework).…”

Section: Regarding Demographic Factors Our Results Lead To the Conclmentioning

confidence: 99%

Prevalence of sending, receiving and forwarding sexts among youths: A three-level meta-analysis

2020

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By systematic review with a three-level, mixed-effects meta-analysis, this paper examines the prevalence of sexting experiences among youths aimed at analyzing conceptual and methodological moderators that might explain its heterogeneity. A search was conducted of five bibliographic databases and grey literature up until February 2020. The risk of bias in primary studies was assessed. A total of seventy-nine articles met the set inclusion criteria. Mean prevalences for sending, receiving and forwarding sexts were .14 (95% CI: .12, .17), .31 (95% CI: .26, .36) and .07 (95% CI: .05, .09), respectively, expressed as fractions over one. Moderator analyses showed that all sexting experiences increased with age (e.g., the mean prevalence for sending sexts at the age of 12 was .04, whereas, at the age of 16, it was .21) and year of data collection (e.g., the mean prevalence for sending sexts in studies collecting data in 2009 was .07, whereas, in studies collecting data in 2018, it was .33). Subgroup analysis revealed that studies with probabilistic samples led to significantly lower mean prevalences for the sexting experiences of sending (.08, 95% CI: .06, .11), receiving (.19, 95% CI: .15, .24) and forwarding sexts (.04, 95% CI: .03, .07). Self-reported administration procedures also led to more homogeneous prevalence estimates than interviews. Prevalence estimates also varied according to the type of media content (e.g., the mean prevalence for sending sexual text messages was .22, whereas, for sending sexual images or videos, it was .12). Overall, our meta-analysis results suggest high and increasing prevalences of sending and receiving sexts among youths.

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Section: Regarding Demographic Factors Our Results Lead To the Conclmentioning

confidence: 99%

Prevalence of sending, receiving and forwarding sexts among youths: A three-level meta-analysis

2020

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“…In line with these findings, sexting has been related to emotional problems (Ševčíková, 2016), emotional dysregulation, and low emotional self-efficacy (Trub & Starks, 2017). Yoder, Hansen, and Precht (2018) shed light on emotional motivations for sexting, specifically anger, loneliness, and attention seeking. These sexting motives, predicted by negative family experiences during childhood, were correlated to sexting outside of a dating relationship and with dating violence.…”

Section: Positive and Risky Facets Of Sextingmentioning

confidence: 99%

Family functioning patterns predict teenage girls’ sexting

Bianchi

Morelli

Baiocco

et al. 2019

International Journal of Behavioral Development

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Online exchange of sexual content (“sexting”) is associated with potentially negative consequences, especially for girls. We investigated possible associations between family functioning and girls’ sexting. Italian teenage girls ( N = 250; Mage = 16.36 years; SDage = 1.88) completed online surveys that evaluated family functioning (communication, flexibility, cohesion, disengagement, chaos, enmeshment, and rigidity) and five sexting behaviors: (a) engaging in sexting, (b) sexting with a partner, (c) number of people with whom girls share sexts, (d) nonconsensual forwarding of sexts, and (e) sexting for emotion regulation. We found that engaging in sexting, sexting for emotion regulation, and the number of people with whom girls share sexts were predicted by age and low family communication. Sexting with a partner was predicted by age and high flexibility, and nonconsensual forwarding of sexts was positively predicted by enmeshment.

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“…Higher likelihood to engage in sexting has been found indeed for young people who make alcohol and drugs use (Mori et al, 2019 ), and for youths who meet strangers online (Crimmins & Seigfried-Spellar, 2014 ). Recent studies (Bianchi et al, 2019a ; Yoder et al 2018 ) also shed light on a facet more akin to Internet addiction: the use of sexting to escape negative feelings, in absence of more effective emotion regulation skills (i.e., emotional sexting). Yoder et al ( 2018 ) uncovered emotional motivations for sexting, related to anger, loneliness, and attention seeking, which correlate with more risky behaviors.…”

Section: Introductionmentioning

confidence: 99%

“…Recent studies (Bianchi et al, 2019a ; Yoder et al 2018 ) also shed light on a facet more akin to Internet addiction: the use of sexting to escape negative feelings, in absence of more effective emotion regulation skills (i.e., emotional sexting). Yoder et al ( 2018 ) uncovered emotional motivations for sexting, related to anger, loneliness, and attention seeking, which correlate with more risky behaviors. Emotion dysregulation and emotional problems are proven to predict sexting, as well as other risky sexual behaviors, in young people (Ševčíková, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Love in Quarantine: Sexting, Stress, and Coping During the COVID-19 Lockdown

et al. 2021

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Introduction This study investigated the relationships of pandemic-related stress and coping strategies with different kinds of sexting (i.e., experimental, risky, and emotional) during the COVID-19 lockdown in the Italian context. Methods A sample of 1929 emerging adults (Mage = 24.17, SDage = 2.75; 71.6% girls) completed an online survey about their sexting behaviors during the national lockdown in Italy. Data were gathered in April/May 2020, from 6th to 11th week of home confinement due to COVID-19 pandemic. Hierarchical regression and mediation analyses were performed. Results Pandemic-related stress directly predicted only risky and emotional sexting. Experimental and emotional sexting were positively predicted by social support, and negatively predicted by turning to religion. Risky and emotional sexting were positively predicted by avoidance, and negatively predicted by problem solving. Adaptive coping (i.e., social support) mediated the relationships from pandemic-related stress to both experimental and emotional sexting. Maladaptive coping (i.e., avoidance and problem solving) mediated the relationships from pandemic related-stress to risky and emotional sexting. Conclusions Sexting was a coping tool during COVID-19 lockdown, showing both adaptive and maladaptive facets. Policy Implications Findings suggest new directions for implementing programs of sexual education and safer Internet use targeted to young people.

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Correlates and outcomes associated with sexting among justice involved youth: The role of developmental adversity, emotional disinhibitions, relationship context, and dating violence

Cited by 11 publications

References 46 publications

Prevalence of sending, receiving and forwarding sexts among youths: A three-level meta-analysis

Prevalence of sending, receiving and forwarding sexts among youths: A three-level meta-analysis

Family functioning patterns predict teenage girls’ sexting

Love in Quarantine: Sexting, Stress, and Coping During the COVID-19 Lockdown

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