OBJECTIVE: The aim of the study was to determine the risk factors for binge-watching (BW) among Polish medical and non-medical students.
METHODS: A STROBE-compliant cross-sectional observational study, was carried out in Poland from July 2022 - March 2023. The web-based survey consisted of a personal questionnaire, a Binge-Watching Behaviour Questionnaire, a Scale of Motivation for Watching TV Series, a shortened version of the Ryff Well-Being Scale, and the De Jong Gierveld Loneliness Scale. Inclusion criteria were being a student and providing informed consent to participate. The study involved 726 respondents (70.5% female) with an average age of 22.41 (SD=3.89), including 308 (44%) medical students.
RESULTS: In the group of Polish medical students, the regression model was well-fitted F(10,287)=30.189; p<0.001, R2=0.496, and the risk factors were escape motivation (β=0.416; p<0.001), psychological well-being (β=-0.165; p=0.003), emotional loneliness (β=0.152; p=0.014), and social loneliness (β=-0.118; p=0.031). Among Polish students of other majors, the regression model was well-fitted F(10,378)=46.188; p<0.001, R2=0.538, and the influence of escape motivation (β=0.456; p<0.001), entertainment motivation (β=0.258; p<0.001), the psychological well-being of students (β=-0.134; p=0.004), and emotional loneliness (β=0.111; p=0.032) was demonstrated.
CONCLUSIONS: Students are in a high-risk group for behavioural addiction known as binge-watching. Emotional loneliness, the desire to escape from everyday life problems, and reduced psychological well-being intensified binge-watching in all the studied groups. Entertainment motivation and social loneliness differentiated the groups of Polish medical and non-medical students in terms of BW risk factors.

BACKGROUND: The association between socioeconomic status and depression is weaker in older adults than in younger populations. Loneliness may play a significant role in this relationship, explaining (at least partially) the attenuation of the social gradient in depression. The current study examined the relationship between socioeconomic status and depression and whether the association was affected by loneliness.
METHODS: A cross-sectional design involving dwelling and nursing homes residents was used. A total of 887 Spanish residents aged over 64 years took part in the study. Measures of Depression (GDS-5 Scale), Loneliness (De Jong-Gierveld Loneliness Scale), Socioeconomic Status (Education and Economic Hardship), and sociodemographic parameters were used. The study employed bivariate association tests (chi-square and Pearson\'s r) and logistic regression analyses.
RESULTS: The percentage of participants at risk of suffering depression was significantly higher among those who had not completed primary education (45.5%) and significantly lower among those with university qualifications (16.4%) (X2 = 40.25;p <.001), and respondents who could not make ends meet in financial terms faced a higher risk of depression (X2 = 23.62;p <.001). In terms of the respondents who experienced loneliness, 57.5% were at risk of depression, compared to 19% of those who did not report loneliness (X2 = 120.04;p <.001). The logistic regression analyses showed that having university qualifications meant a 47% reduction in the risk of depression. This risk was 86% higher among respondents experiencing financial difficulties. However, when scores for the loneliness measure were incorporated, the coefficients relating to education and economic hardships ceased to be significant or were significantly reduced.
CONCLUSIONS: Loneliness can contribute to explaining the role played by socioeconomic inequalities in depression among older adults.

Few studies have explored the relationship between adverse childhood experiences (ACEs) and problematic Internet use (PIU) during young adulthood. Moreover, even fewer studies have explored the roles of loneliness (social and emotional) and hostility in this relationship.
This study used data from the Taiwan Youth Project (2011-2017). The analytical sample included 1885 participants (mean age = 31.3 years). PIU was measured using the short form of Chen\'s Internet Addiction Scale (2017). ACEs were assessed at the baseline of the adolescent phase (mean age = 14.3 years); this indicator has undergone recent revision. Hostility (three items from the Symptom Checklist-90-Revised) and loneliness (six items from the De Jong Gierveld scale) were measured in 2011 and 2014, respectively.
ACEs were associated with hostility and loneliness (emotional and social). Additionally, hostility (β = 0.62, p < .01) and emotional loneliness (β = 0.44, p < .01) were significantly associated with PIU. Most mediating paths (e.g., ACE → hostility → PIU) were significant, based on the bootstrapping results.
This study suggests that ACEs have a long-term shadow effect on PIU in young adults. ACEs show an indirect association with PIU through both hostility and loneliness, as well as involving the relationship between them.

UNASSIGNED: Loneliness is a serious public health problem. This became even more visible during the COVID-19 pandemic. Yet, the key social network aspects contributing to loneliness remain unknown. Here, we evaluated social network structure and function and associations with (moderate/severe) social and emotional loneliness in older adults.
UNASSIGNED: This cross-sectional study includes online questionnaire data (SaNAE cohort, August-November 2020), in independently living Dutch adults aged 40 years and older. For the separate outcomes of social and emotional loneliness, associations with structural social network aspects (e.g., network diversity - having various types of relationships, and density - network members who know each other), and functional social network aspects (informational, emotional, and practical social support) were assessed and risk estimates were adjusted for age, educational level, level or urbanization, comorbidities, and network size. Multivariable logistic regression analyses were stratified by sex.
UNASSIGNED: Of 3396 participants (55 % men; mean age 65 years), 18 % were socially lonely which was associated with a less diverse and less dense network, living alone, feeling less connected to friends, not having a club membership, and fewer emotional supporters (men only) or informational supporters (women only). 28 % were emotionally lonely, which was associated with being socially lonely, and more exclusively online (versus in-person) contacts (men only), and fewer emotional supporters (women only).
UNASSIGNED: Network structure and function beyond the mere number of contacts is key in loneliness. Public health strategies to prevent loneliness in older adults should be sex-tailored and promote network diversity and density, club membership, informational and emotional support, and in-person contact.

UNASSIGNED: Loneliness is a distressful feeling that can affect mental and physical health, particularly among older adults. Cortisol, the primary hormone of the Hypothalamic-Pituitary-Adrenal axis (HPA-axis), may act as a biological transducer through which loneliness affects health. While most previous studies have evaluated the association between loneliness, as a unidimensional construct, and diurnal cortisol pattern, no research has examined this relationship discriminating between social and emotional loneliness in older adults. As sex differences in the negative mental health outcomes of loneliness have been reported, we also investigated whether diurnal cortisol indices and loneliness associations occur in a sex-specific manner.
UNASSIGNED: We analyzed the diurnal cortisol- pattern in 142 community-dwelling, non-depressed, Caucasian older adults (55,6% female) aged 60-90. Social and emotional (family and romantic) loneliness scores were assessed using the Spanish version of the Social and Emotional Loneliness Scale for Adults (SELSA). Five salivary cortisol samples were used to capture key features of the diurnal cortisol pattern, including: awakening and bedtime cortisol levels, awakening response (CAR), post-awakening cortisol output (post-awakening cortisol [i.e., the area under the curve with reference to the ground: AUCG]), total diurnal cortisol release (AUCG), and diurnal cortisol slope (DCS).
UNASSIGNED: After controlling for sociodemographic variables, the hierarchical linear multiple regression analyses revealed that in male older adults, higher scores on social and family loneliness were associated with elevated awakening cortisol levels, total diurnal cortisol output, and a steeper diurnal cortisol slope (DCS). However, these associations were not observed in female older adults. In addition, feelings of romantic loneliness were positively associated with bedtime cortisol levels and AUCG in older males. Multilevel growth curve modeling showed that experiencing more social and emotional loneliness predicted higher diurnal cortisol output throughout the day in older male adults.
UNASSIGNED: The presence of sex differences in the relationship between cortisol indices and loneliness among older adults holds particular significance for diagnostic and screening procedures. Combining loneliness scales as screening tools with diurnal cortisol measures has the potential to be an effective and cost-efficient approach in identifying higher-risk individuals at early stages.

Social loneliness is a prevalent issue in industrialized countries that can lead to adverse health outcomes, including a 26% increased risk of premature mortality, coronary heart disease, stroke, depression, cognitive impairment, and Alzheimer disease. The United Kingdom has implemented a strategy to address loneliness, including social prescribing-a health care model where physicians prescribe nonpharmacological interventions to tackle social loneliness. However, there is a need for evidence-based plans for global social prescribing dissemination.
This study aims to identify global trends in social prescribing from 2018. To this end, we intend to collect and analyze words related to social prescribing worldwide and evaluate various trends of related words by classifying the core areas of social prescribing.
Google\'s searchable data were collected to analyze web-based data related to social prescribing. With the help of web crawling, 3796 news items were collected for the 5-year period from 2018 to 2022. Key topics were selected to identify keywords for each major topic related to social prescribing. The topics were grouped into 4 categories, namely Healthy, Program, Governance, and Target, and keywords for each topic were selected thereafter. Text mining was used to determine the importance of words collected from new data.
Word clouds were generated for words related to social prescribing, which collected 3796 words from Google News databases, including 128 in 2018, 432 in 2019, 566 in 2020, 748 in 2021, and 1922 in 2022, increasing nearly 15-fold between 2018 and 2022 (5 years). Words such as health, prescribing, and GPs (general practitioners) were the highest in terms of frequency in the list for all the years. Between 2020 and 2021, COVID, gardening, and UK were found to be highly related words. In 2022, NHS (National Health Service) and UK ranked high. This dissertation examines social prescribing-related term frequency and classification (2018-2022) in Healthy, Program, Governance, and Target categories. Key findings include increased \"Healthy\" terms from 2020, \"gardening\" prominence in \"Program,\" \"community\" growth across categories, and \"Target\" term spikes in 2021.
This study\'s discussion highlights four key aspects: (1) the \"Healthy\" category trends emphasize mental health, cancer, and sleep; (2) the \"Program\" category prioritizes gardening, community, home-schooling, and digital initiatives; (3) \"Governance\" underscores the significance of community resources in social prescribing implementation; and (4) \"Target\" focuses on 4 main groups: individuals with long-term conditions, low-level mental health issues, social isolation, or complex social needs impacting well-being. Social prescribing is gaining global acceptance and is becoming a global national policy, as the world is witnessing a sharp rise in the aging population, noncontagious diseases, and mental health problems. A successful and sustainable model of social prescribing can be achieved by introducing social prescribing schemes based on the understanding of roles and the impact of multisectoral partnerships.

Loneliness functionally varies and is determined by the degree of interaction with others. We examined weekly fluctuations in reported loneliness as a function of frequency of social interactions in old age. We hypothesized that emotional and social components of loneliness would be related to different types of social relationships.
Participants reported their feeling of loneliness and their social interaction quantity (frequency of meetings) via a weekly based diary, over 6 weeks.
Diary study.
The study included 55 older adults with different dwelling arrangements (M = 73.4, SD = 6.97).
Measures of Loneliness (the De Jong-Gierveld Loneliness Scale), Social Interaction and Contact, and sociodemographic parameters were used.
Social and emotional loneliness fluctuated over the course of the 6-week study. Frequency of meeting friends was related to emotional loneliness and total feelings of loneliness. Frequency of meeting close/trusted figures was related to emotional loneliness which appeared the following week. Other variables were not associated with either changes in loneliness or its dimensions.
Loneliness in old age is changeable. The emotional component of loneliness seems to be dominant in determining overall feelings of loneliness and is more sensitive to externally chosen social interaction.

Loneliness and social isolation are known to be associated with depression, general anxiety, and social anxiety. However, knowledge on the overlapping and unique features of these relationships, while differentiating between social loneliness (perceived absence of an acceptable social network) and emotional loneliness (perceived absence of close connections), is lacking.
We constructed a network analysis to examine the relationships between self-reported social loneliness, emotional loneliness, social isolation, depression, general anxiety and social anxiety in a large sample of university students (N = 7314, 67.4 % female, range 16.3-75.8 years, Mage = 23.9, SDage = 5.7). Hierarchical regression analyses were used to examine whether depression, general anxiety and social anxiety moderated the relationship between social isolation and loneliness types. As comorbidity between anxiety and depression is high, the role of anxiety as a moderator in the relationship between depression and loneliness types was also examined.
The network analysis showed that social loneliness was most strongly explained by social isolation, whereas emotional loneliness was most strongly explained by social anxiety and depression. General anxiety was solely related to loneliness through depression. The regression analyses showed that general and social anxiety and depression did not moderate the relationship between social isolation and loneliness types.
Differences found between loneliness types may be influenced by a methodological artifact of the DJGLS.
These findings highlight the importance of social anxiety over general anxiety in relation to loneliness. Also, it showed unique relationships for social- and emotional loneliness with psycho-social variables, which has important implications for research- and clinical settings.

Late chronotype during adolescence is a critical risk factor for poor physical and mental health among adolescents. While social loneliness is confirmed to negatively influence sleep behaviors, the long-term effect of social loneliness on chronotype remains unknown. This study aims to investigate whether social loneliness trajectories from middle childhood to adolescence are associated with chronotype in late adolescence and examine the potential sex differences in these associations. Data were obtained from 2398 adolescents who participated in the Child and Adolescent Behaviors in Long-Term Evolution project. Chronotype was calculated as the midpoint of sleep on free days adjusted for sleep debt. Group-based trajectory modeling and multiple linear regression were employed to establish social loneliness trajectories and determine their associations with chronotype. Social loneliness trajectories were significantly associated with chronotype and varied by sex. Specifically, boys following a high-decreasing trajectory had earlier chronotype during late adolescence than did those following a low-decreasing trajectory (B =  - 0.07; p < 0.05). By contrast, girls following a low-to-moderate-increasing trajectory exhibited later chronotype than did those following a low-stable trajectory (B = 0.07; p < 0.01). Social loneliness trajectories, especially those displaying significant fluctuations over time, are critical indicators influencing chronotype among adolescents. Furthermore, these trajectories and their associations with chronotype display sex differences. These findings highlight the need for early interventions for psychological factors such as social loneliness to ensure that the late chronotype can be prevented. In addition, sex variations must be considered.

Older age has been considered a risk factor for physical and mental health during the COVID-19 pandemic, yet many middle-aged and older adults showed resilience. This cross-sectional study aimed to examine the protective factors against social loneliness and perceived stress among Turkish middle-aged and older adults. The data were collected from 464 adults aged 55 and above when the curfew restrictions were still in place. Hierarchical regression analyses revealed that resilience, life satisfaction, self-esteem, satisfaction with social support and internet use negatively predicted both social loneliness and stress. The extent of curfew measures, which were more restrictive for the elderly, did not predict social loneliness and stress. The participants living alone showed higher social loneliness and those with chronic disease reported more stress. Results highlight the significant role of protective factors in enhancing well-being and coping in old age under highly stressful situations such as the pandemic.