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1.
J Community Psychol ; 49(2): 481-498, 2021 03.
Article in English | MEDLINE | ID: mdl-33190240

ABSTRACT

This paper proposes and tests a theoretical model to investigate the mechanism underpinning local social support exchange via online neighborhood networks (ONNs). We drew on community psychology, social support, and social media literature and used a survey conducted in the Dutch-speaking part of Belgium among 561 ONN users (nfemales = 409; 72.9%) between 18 and 82 years old (Mage = 43.73; SDage = 15.37). We found that engaging in online neighboring behaviors was associated to both online and offline neighborhood sense of community. Subsequently, these provide access to perceived local social support and the intention to mobilize local social support online. The latter was predominantly explained via the path along online sense of community. ONNs facilitate local bridging behavior, connecting otherwise distinct local networks and ties. At the same time, online neighboring behaviors provide the normative context that supports the exchange process.


Subject(s)
Social Media , Social Support , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Intention , Middle Aged , Residence Characteristics , Surveys and Questionnaires , Young Adult
2.
Sex Health ; 17(2): 178-181, 2020 04.
Article in English | MEDLINE | ID: mdl-32164818

ABSTRACT

Background The vast differences in sampling techniques, cultural contexts between international studies, the differences in age groups of the samples and various definitions used to measure sexting make it hard to compare how sexting behaviour has evolved over the past years. This exploratory study aims to address this critical gap in the research by using two datasets of a biennial study on adolescents' media use. The first aim of this study is to compare the sexting prevalence and correlates (i.e. age, gender and smartphone ownership) of youth in 2015 and 2017. The second aim is to investigate the risk mitigation behaviours of youth who engage in sexting and to assess how their behaviours differ between the two time points. METHODS: The data for cohort 1 were collected in October and November 2015 and comprise of 2663 students from 11 secondary schools in the Dutch-speaking community of Belgium. For the second cohort, the data were collected in October and November 2017 and comprise of 2681 students from 10 secondary schools. A weighing factor was implemented on the dataset. RESULTS: The results show sexting behaviour has significantly increased between cohorts, with 8.3% of the respondents having sent a sext in the first cohort, compared with 12.1% in the second cohort. The sexting prevalence rates also significantly increased between cohorts when taking into account students who owned a smartphone. Furthermore, engagement in sexting was associated with being older, and no gender differences were found. In the second cohort, 36.8% of youth who had sent a sext were identifiable in those images. There were no differences between cohorts. CONCLUSION: The results indicate that other factors next to smartphone ownership may be associated with an increase in sexting prevalence. The findings also highlight the need for the development of age-appropriate sexting educational materials.


Subject(s)
Adolescent Behavior/psychology , Sexual Behavior/psychology , Text Messaging/statistics & numerical data , Adolescent , Belgium , Cohort Studies , Female , Humans , Male , Prevalence , Sexual Behavior/statistics & numerical data , Smartphone , Students , Young Adult
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