scholarly journals Victimization as a Result of Non-Consensual Dissemination of Sexting and Psychopathology Correlates: An Exploratory Analysis

2021 ◽  
Vol 18 (12) ◽  
pp. 6564
Author(s):  
Aina M. Gassó ◽  
Katrin Mueller-Johnson ◽  
Esperanza L. Gómez-Durán
Keyword(s):  
Mental Health ◽  
College Students ◽  
Health Outcomes ◽  
Online Survey ◽  
Sexual Victimization ◽  
Empirical Studies ◽  
Electronic Devices ◽  
Exploratory Analysis ◽  
Sexual Content ◽  
The Relationship

Sexting is generally known as creating, sending and/or forwarding of sexual content using electronic devices. When such content is non-consensually disseminated, it becomes a criminally relevant behavior. To date, very few empirical studies have examined the prevalence of non-consensual dissemination of sexting, and none of them have analyzed the relationship with psychopathology and further victimization outcomes. Therefore, the aims of this study were (1) to examine the prevalence of non-consensual dissemination of sexual content, (2) to analyze the prevalence of further victimization as a result of non-consensual dissemination of sexting and (3) to investigate the association between secondary victimization as a result of non-consensual dissemination of sexting and psychopathology. The sample comprised 1370 Spanish college students (73.6% female; mean age = 21.4 years; SD = 4.85) who answered an online survey about their engagement in sexting behaviors, online sexual victimization and psychopathology, measured by a sexting scale and the Listado de Síntomas Breve (LSB-50), respectively. Overall, 43 participants (3.14) were victims of non-consensual dissemination of sexting, and results showed those participants who had suffered further victimization reported higher psychopathology scores than those who were not victimized and that being victimized by an ex-partner was associated with poorer mental health outcomes in the victim. Further implications are discussed.

scholarly journals Sexting, Online Sexual Victimization, and Psychopathology Correlates by Sex: Depression, Anxiety, and Global Psychopathology

2020 ◽  
Vol 17 (3) ◽  
pp. 1018 ◽  
Author(s):  
Aina M. Gassó ◽  
Katrin Mueller-Johnson ◽  
Irene Montiel
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
Sexual Victimization ◽  
New Technology ◽  
Total Sample ◽  
Anxiety And Depression ◽  
Sexual Content ◽  
Men And Women ◽  
Male And Female ◽  
Depression Prevalence

Recent research on sexting highlighted a relationship between this new technology-mediated behavior and psychopathology correlates, although up to date results are mixed, and so far, studies have often used simple and not clinically validated measures of mental health. This study aimed to investigate sexting behaviors, online sexual victimization, and related mental health correlates using clinically validated measures for global psychopathology, anxiety, and depression; and doing so separately for men and women. The sample consisted of 1370 Spanish college students (73.6% female; 21.4 mean age; SD = 4.85) who took part in an online survey about their engagement in sexting behaviors, online sexual victimization behaviors, and psychopathological symptomatology, measured by a sexting scale and the Listado de Síntomas Breve (brief symptom checklist) (LSB-50), respectively. Out of our total sample, 37.1% of participants had created and sent their own sexual content (active sexting), 60.3% had received sexual content (passive sexting), and 35.5% had both sent and received sexual content, with significant differences between male and female engagement in passive sexting. No differences were found between men and women in the prevalence of their victimization by nonconsensual dissemination of sexual content; however, women were more pressured and threatened into sexting than men. Sex differences in psychopathology were found only for depression prevalence rates but not for global psychopathology or anxiety. Furthermore, for male participants, our results showed a significant association only between online sexual victimization and psychopathology but not for consensual active and passive sexting. However, for the female participants, active sexting, passive sexting, and online sexual victimization were all associated with poorer mental health. Implications for prevention and intervention are discussed.

scholarly journals College Student Sleep Quality and Mental and Physical Health are Associated with Food Insecurity in a Multi-Campus Study

2021 ◽  
pp. 1-23
Author(s):  
Rebecca L. Hagedorn ◽  
Melissa D. Olfert ◽  
Lillian MacNell ◽  
Bailey Houghtaling ◽  
Lanae B. Hood ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Sleep Quality ◽  
Food Insecurity ◽  
Physical Health ◽  
Online Survey ◽  
Daily Activities ◽  
Poor Sleep ◽  
The Relationship ◽  
Mental And Physical Health

Abstract Objective: To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students. Design: An online survey was administered. Food insecurity was assessed using the 10-item Adult Food Security Survey Module. Sleep was measured using the 19-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health. Setting: Twenty-two higher education institutions. Participants: College students (n=17,686) enrolled at one of 22 participating universities. Results: Compared to food secure students, those classified as food insecure (43.4%) had higher PSQI scores indicating poorer sleep quality (p<.0001) and reported more days with poor mental (p<.0001) and physical (p<.0001) health as well as days when mental and physical health prevented them from completing daily activities (p<.0001). Food insecure students had higher adjusted odds of having poor sleep quality (adjusted odds ratio [AOR]:1.13, 95% confidence interval [CI]: 1.12-1.14), days with poor physical health (AOR: 1.01, 95% CI: 1.01-1.02), days with poor mental health (AOR: 1.03, 95% CI: 1.02-1.03), and days when poor mental or physical health prevented them from completing daily activities (AOR: 1.03, 95% CI: 1.02-1.04). Conclusions: College students report high food insecurity which is associated with poor mental and physical health and sleep quality. Multi-level policy changes and campus wellness programs are needed to prevent food insecurity and improve student health-related outcomes.

Cultural Values Influence Mental-Health Help-Seeking in Asian and Latinx College Students

2019 ◽  
Author(s):  
Elayne Zhou ◽  
Yena Kyeong ◽  
Cecilia Cheung ◽  
Kalina Michalska;Michalska
Keyword(s):  
Mental Health ◽  
College Students ◽  
Cultural Values ◽  
Mental Health Treatment ◽  
Help Seeking ◽  
Online Survey ◽  
Negative Attitudes ◽  
Help Seeking Behaviors ◽  
Seeking Behavior ◽  
Ethnic Group Membership

The current study examined the influence of cultural values on mental health attitudes and help-seeking behaviors in college students of diverse ethnic backgrounds. Asian and Latinx college students (N = 159) completed an online survey in which they reported their adherence to cultural values and general attitudes towards mental health and help-seeking behavior. Factor analysis revealed two common factors of cultural values irrespective of ethnic background: Interdependent Orientation (IO) and Cultural Obligation (CO). Regardless of ethnicity, the more students endorsed IO values, the less likely they were to perceive a need for mental health treatment. IO value adherence also predicted more negative attitudes towards mental health. CO values were not predictive of perceived need or help-seeking behaviors. Findings highlight the importance of assessing certain cultural values independently from ethnicity and considering how the multidimensionality of culture may help explain shared mental health behaviors across ethnic group membership.

scholarly journals Income-related health inequality among Chinese adults during the COVID-19 pandemic: evidence based on an online survey

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Peng Nie ◽  
Lanlin Ding ◽  
Zhuo Chen ◽  
Shiyong Liu ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Family Member ◽  
Health Inequalities ◽  
Online Survey ◽  
Mainland China ◽  
Decomposition Analysis ◽  
National Sample ◽  
Vulnerable Groups

AbstractBackgroundPartial- or full-lockdowns, among other interventions during the COVID-19 pandemic, may disproportionally affect people (their behaviors and health outcomes) with lower socioeconomic status (SES). This study examines income-related health inequalities and their main contributors in China during the pandemic.MethodsThe 2020 China COVID-19 Survey is an anonymous 74-item survey administered via social media in China. A national sample of 10,545 adults in all 31 provinces, municipalities, and autonomous regions in mainland China provided comprehensive data on sociodemographic characteristics, awareness and attitudes towards COVID-19, lifestyle factors, and health outcomes during the lockdown. Of them, 8448 subjects provided data for this analysis. Concentration Index (CI) and Corrected CI (CCI) were used to measure income-related inequalities in mental health and self-reported health (SRH), respectively. Wagstaff-type decomposition analysis was used to identify contributors to health inequalities.ResultsMost participants reported their health status as “very good” (39.0%) or “excellent” (42.3%). CCI of SRH and mental health were − 0.09 (p < 0.01) and 0.04 (p < 0.01), respectively, indicating pro-poor inequality in ill SRH and pro-rich inequality in ill mental health. Income was the leading contributor to inequalities in SRH and mental health, accounting for 62.7% (p < 0.01) and 39.0% (p < 0.05) of income-related inequalities, respectively. The COVID-19 related variables, including self-reported family-member COVID-19 infection, job loss, experiences of food and medication shortage, engagement in physical activity, and five different-level pandemic regions of residence, explained substantial inequalities in ill SRH and ill mental health, accounting for 29.7% (p < 0.01) and 20.6% (p < 0.01), respectively. Self-reported family member COVID-19 infection, experiencing food and medication shortage, and engagement in physical activity explain 9.4% (p < 0.01), 2.6% (the summed contributions of experiencing food shortage (0.9%) and medication shortage (1.7%),p < 0.01), and 17.6% (p < 0.01) inequality in SRH, respectively (8.9% (p < 0.01), 24.1% (p < 0.01), and 15.1% (p < 0.01) for mental health).ConclusionsPer capita household income last year, experiences of food and medication shortage, self-reported family member COVID-19 infection, and physical activity are important contributors to health inequalities, especially mental health in China during the COVID-19 pandemic. Intervention programs should be implemented to support vulnerable groups.

scholarly journals The impact of sitting time and physical activity on mental health during COVID-19 lockdown

2021 ◽  
Author(s):  
Matthew Pears ◽  
Susanna Kola-Palmer ◽  
Liane Beretta De Azevedo
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Online Survey ◽  
Depression Score ◽  
Sitting Time ◽  
Multiple Stepwise Regression Analysis ◽  
Previous Diagnosis ◽  
The Uk ◽  
The Impact

Abstract Objective The primary aim of this study was to investigate the association between physical activity (PA) and sitting time on adults’ mental health (i.e., depression, anxiety and wellbeing) and the influence of mediators and confounders. Methods An online survey was disseminated in the UK between May and June 2020. A total of 284 participants (33.5 ± 12.4 years) self-reported their PA, sitting time and mental health through validated questionnaires. Results Multiple stepwise regression analysis revealed that being of younger age, female, on a lower income, with one or more comorbid health conditions, with a previous diagnosis of mood disorder and increased sitting time independently correlated with higher depression scores (F (13,219) = 12.31, p < 0.001), and explained 42% of the variance. Similar results were found for wellbeing where socio-demographic, health outcomes and sitting time influenced the subjective wellbeing (F (14,218) = 5.77, p < 0.001, 27% variance), although only socio-demographic and health outcomes contributed to the variation in anxiety score (F (13,219) = 7.84, p < 0.001, 32% variance). PA did not explain variation when sitting time was taken into account in any of the models. Combined analysis revealed that participants with lower sedentary time (< 8 h) and with both low or moderate and high PA presented a significantly lower depression score [low PA: (B = −2.7, 95% CI −4.88, −0.52); moderate and high PA (B = −2.7, −4.88, −0.52)]. Conclusion Sitting time was strongly associated with adverse mental health during COVID-19 lockdown and should be considered in future public health recommendations.

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