Active and passive social media usage and depression among the elderly during COVID-19: does race matter?

Chhatwani, Malvika; Mishra, Sushanta Kumar; Rai, Himanshu

doi:10.1080/0144929x.2022.2045359

Cited by 7 publications

(6 citation statements)

References 78 publications

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“…Future studies could be conducted on different age or ethnic samples to increase the generalizability of findings. Thirdly, active social network usage was proven to have an effect on the depressed mood or anxiety of users 59 . Therefore, in addition to PSNU, future studies regarding SNSs could take into account the effect of both PSNU and active social network usage or their interaction on depression/negative emotions.…”

Section: Discussionmentioning

confidence: 99%

The association between passive social network usage and depression/negative emotions with envy as a mediator

Cheng

Nguyen

2023

Sci Rep

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This study aimed to investigate the relationships between passive social network usage (PSNU) and depression/negative emotions over time with the mediating role of envy among Vietnamese adolescents. First, it revealed that PSNU had a simultaneous effect on depression/negative emotions as well as at different time points, indicating that social network site behaviors can predict psychological states over time (explained by the social comparison theory). Second, the autoregressive effect also confirmed a potential reciprocal relationship between PSNU and depression, whereas PSNU appeared to have an impact on negative emotions but not the other way around. Specifically, depression at Time 1 was positively associated with PSNU at Time 2, whereas negative emotions did not exhibit a similar pattern (explained by the cognitive dissonance theory). The different associations were interpreted as depression having cognitive elements, while negative emotions were thought to be purely emotional states. The results demonstrated that behavior may potentially have a long-lasting effect on mental health (both negative emotions and depression), while it was depression, rather than negative emotions, that had a long-term effect on behaviors. Third, envy played a mediating role that connected the changes of PSNU and depression/negative emotions. The implications and limitations of these findings are discussed.

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Section: Discussionmentioning

confidence: 99%

The association between passive social network usage and depression/negative emotions with envy as a mediator

Cheng

Nguyen

2023

Sci Rep

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“…The ambiguity as to whether the association between SMU and depressive symptoms is positive or negative could also be due to the SMU measures used in the studies, which analyze overall use and not the type or purpose of use. Studies analyzing type of use reported that active SMU (e.g., posting) was positively associated with depressive symptoms ( Chhatwani, Kumar Mishra, & Rai, 2023 ; Lewin et al, 2023 ), whereas passive SMU (e.g., browsing) was negatively associated with depressive symptoms (Lewin et al, 2022). Hofer and Hargittai (2021) analyzed purpose of use and found that older adults using social media were more prone to check in on someone who was suddenly missing from an online group and older adults who were more likely to answer questions in a social media forum reported higher depressive symptoms.…”

Section: Social Media Use and Depressive Symptomsmentioning

confidence: 99%

Social Media Use May Not Be As Bad As Some Suggest: Implication for Older Adults

Cotten

Anaraky

Schuster

2023

Innovation in Aging

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Background and Objectives Social media use (SMU) has increased over the past decade among older adults. Cross-sectional studies report SMU is related to negative mental health outcomes (i.e., depression). Given depression is the most common mental health issue for older adults and increases the risk of morbidity and mortality, determining longitudinally whether SMU is related to increased depression is critical. This study examined the longitudinal relationship between SMU and depression. Research Design and Methods Data from six waves (2015-2020) of the National Health and Aging Trends Study (NHATS) was analyzed. Participants included a nationally representative sample of U.S. older adults, aged 65 years and older (N= 7,057). We used a Random Intercept Cross-Lagged Panel Modeling (RI-CLPM) framework to examine the relationship between primary outcomes social media use (SMU) and depression symptoms. Results No pattern was found of SMU predicting depression symptoms, or depression symptoms predicting SMU. The major driver of SMU in each wave was SMU in the previous wave. On average, our model accounted for 3.03% of the variance in SMU. The major predictor of depression in each wave was the pre-existing depression. Our model accounted for an average of 22.81% of the variance in depressive symptoms. Discussion and Implications The results suggest that SMU and depressive symptoms are driven by the previous patterns of SMU and depression, respectively. We did not find any patterns of SMU and depression influencing each other. NHATS measures SMU with a binary instrument. Future longitudinal research should employ measures that account for SMU duration, type, and purpose. These findings suggest that SMU may not be related to negative health outcomes, in this case depression, for older adults.

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“…Las investigaciones académicas sobre personas mayores y redes sociales se circunscriben, principalmente, a las áreas de la salud, la etnografía digital y la educación (Kaewprasert, 2021;Zhao et al, 2021;Zhao y Yu, 2022). Temáticamente, destacan, sobremanera, los trabajos que analizan la usabilidad y satisfacción (Lee y Chon, 2020;McFarlane y Samsioe, 2020), el comportamiento y los efectos que causa la participación de los mayores en redes sociales (Chhatwani et al, 2022). Otro grupo de trabajos analiza la representación de los mayores en los medios de comunicación (Guarinos, 2021) y en las plataformas digitales (Farinosi, 2022), y las propuestas de alfabetización digital para los usuarios mayores (Narayanan et al, 2021).…”

Section: Las Personas Mayores En Las Redes Socialesunclassified

Producción y caracterización de los influencers sénior españoles en Instagram

Martín

Ballesteros-Aguayo

García

et al. 2023

FJC

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El propósito de nuestra investigación es determinar la presencia de instagramers sénior españoles, así como analizar en qué ámbitos ejercen influencia. En este trabajo se ha planteado una metodología cualitativa exploratoria mediante análisis de contenido para estudiar las características de la producción de los 12 perfiles de las personas mayores influenciadores con más de 100.000 seguidores (mega y macro). Los resultados indican que la producción de sus contenidos se caracteriza por una marcada estrategia de marketing digital. Se evidencia rutinas profesionales como la regularidad en la frecuencia de publicación, la calidad y creatividad de los post y la relación que mantienen con los seguidores.

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Active and passive social media usage and depression among the elderly during COVID-19: does race matter?

Cited by 7 publications

References 78 publications

The association between passive social network usage and depression/negative emotions with envy as a mediator

The association between passive social network usage and depression/negative emotions with envy as a mediator

Social Media Use May Not Be As Bad As Some Suggest: Implication for Older Adults

Producción y caracterización de los influencers sénior españoles en Instagram

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