The relationship between social frailty and cognitive impairment among older adults: the role of various types of internet use.

Introduction: This study aimed to explore the role of internet use in the relationship between social frailty and cognitive function among Korean older adults. Methods: A nationally representative survey of community-dwelling older adults in Korea was used in the analysis (N = 8,639). Results: All types of internet use were significantly associated with cognitive impairment and played a significant role in the relationship between social frailty and cognitive impairment. The advantage of internet use for information searching (OR 0.40, 95% CI 0.35-0.46) was the greatest for cognitive function, followed by internet use for instrumental use (OR 0.59, 95% CI 0.53-0.66). Internet use for entertainment exhibited the greatest influence in the relationship between social frailty and cognitive impairment, with interpersonal communication ranking second in significance. Internet use regulates the relationship between social frailty and cognitive impairment in older adults. The influences of internet use vary depending on the type of online activity and the levels of social frailty. Discussion: This highlights the importance of considering various forms of internet use when developing non-pharmacological interventions to mitigate the impact of social frailty on cognitive decline.

Internet Use and Higher-Level Functional Capacity Decline Suppression in Japanese Older Adults With Low Education: JAGES 2016-2019 Longitudinal Study.

BACKGROUND: Higher-level functional capacity (HLFC) is crucial for the independent living of older adults. While internet use positively impacts the health of older adults, its effect on HLFC and how this effect varies with educational attainment remains uncertain. OBJECTIVE: This longitudinal study aimed to investigate whether internet use could mitigate the risk of HLFC decline and if this benefit extends to older adults with lower levels of education. METHODS: The data were sourced from the Japan Gerontological Evaluation Study (JAGES), encompassing 8050 community-dwelling adults aged 65 years and older from 2016 to 2019. The study focused on those who remained self-sufficient from 2016 to 2019, identifying participants with independent HLFC in 2016. The Tokyo Metropolitan Institute of Gerontology Index of Competence defined HLFC operationally, consisting of 3 subscales, namely instrumental activities of daily living, intellectual activity, and social role. The primary variable was the frequency of internet use in 2016; participants who reported using the internet were classified as internet users, while those who answered "No" were identified as nonusers. The study compared the effects of internet use on HLFC decline across educational levels of ≤9 years, 10-12 years, and ≥13 years using Poisson regression analysis adjusted for robust SE to calculate the risk ratio (RR) and 95% CI for HLFC decline in 2019. RESULTS: After adjusting for demographic and health condition risk factors, internet use was significantly linked to a decreased risk of HLFC decline in older adults over 3 years, including those with lower educational levels. Internet users with ≤9 years of educational attainment experienced a suppressed decline in the total score (RR 0.57, 95% CI 0.43-0.76; P<.001); instrumental activities of daily living (RR 0.58, 95% CI 0.38-0.91; P=.02), intellectual activity (RR 0.60, 95% CI 0.41-0.89; P=.01), and social role (RR 0.74, 95% CI 0.56-0.97; P=.03) compared with nonusers. Participants with 10-12 years of education showed suppression rates of 0.78 (95% CI 0.63-0.98; P=.03), 0.59 (95% CI 0.39-0.90; P=.01), 0.91 (95% CI 0.63-1.31; P=.61), and 0.82 (95% CI 0.68-1.00; P=.05), respectively, and those with ≥13 years displayed suppression rates of 0.65 (95% CI 0.51-0.85; P=.001), 0.55 (95% CI 0.36-0.83; P=.01), 0.64 (95% CI 0.37-1.10; P=.11), and 0.83 (95% CI 0.64-1.08; P=.17), respectively. CONCLUSIONS: These findings indicate that internet use supports the maintenance of HLFC independence in older adults with higher education and those with lower educational levels. Encouraging internet use among older adults with lower levels of education through future policies could help narrow functional health disparities associated with educational attainment.

Internet use and adolescent development in rural China: A scoping review protocol of research landscape and gaps.

INTRODUCTION: In the digital era, the Internet has become a necessity in adolescents' daily lives. Many studies globally are exploring the influences of Internet use on adolescent development, but they focus on the negative impacts of simplistic "screen time" on adolescents' physical and mental health, rather than both positive and negative influences of multifaceted Internet use on multidimensional adolescent development. Specifically in rural China, adolescents live in disadvantageous and marginalizing contexts, and Internet use is widespread among this population. However, knowledge on Internet use and adolescent development in rural China is fragmented. It is still unclear in what ways Internet use would bring benefits or risks for Chinese rural adolescents' healthy growth. Therefore, the objective of this scoping review is to identify the current research landscape, gaps, and future directions in rural China contexts. It aims to provide a comprehensive overview of elements, findings, and limitations in existing empirical studies on the influences of Internet use on adolescent development in rural China. MATERIALS AND METHODS: The standard for conducting this scoping review is the five-stage model proposed by Arksey and O'Malley, and the reporting standard is the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Reviews (PRISMA-ScR). The overall research question is: What are the influences of Internet use on adolescent development in rural China? In consultation with librarians, to locate articles, subject headings (controlled vocabularies) and textwords (keywords) in article titles, abstracts, and author-assigned keywords will be searched in APA PsycInfo (psychology), China National Knowledge Infrastructure (interdisciplinary), Communication Abstracts (media and communication), Education Source (education), MEDLINE (public health), Social Services Abstracts (social work), Social Work Abstracts (social work), and Sociological Abstracts (sociology). The review process via Covidence will consist of two sequential steps based on inclusion/exclusion criteria: the title and abstract review and the full-text review. Then study characteristics and research findings will be charted, and the results will be analyzed and synthesized quantitatively and qualitatively via visualizations and narratives, guided by the typological frameworks of Internet use and adolescent development. DISCUSSION: The scoping review will be a pioneering review to inform the current research landscape and gaps in the Internet use influences on adolescent development in rural China. It will advance the research agenda on this issue conceptually, theoretically, and empirically. In addition, it can provide contextual implications for designing prevention and intervention programs.

The impact of internet usage on the mental health of older adults in China: empirical analysis from a multi-dimensional perspective.

Background: The process of population aging in China is currently undergoing rapid acceleration. Simultaneously, the swift advancement of digitalization is fundamentally transforming individuals' lifestyles. The usage of the internet and mobile internet tools by the older adults population is relatively inadequate. The issue of digital exclusion and its impact on the life quality of the older adult population has received significant attention. Objective: This study utilized microdata from the China Health and Retirement Longitudinal Study (CHARLS 2020) to empirically investigate the impact of internet usage on the mental health of older adult individuals. The depression index was utilized to assess the mental health, while four variables were employed to evaluate internet usage among the older adults in this study. Methods: The Center for Epidemiological Studies Depression Scale (CES-D) in CHARLS data was used to measure the depression index of older adults. Four variables including usage of internet, usage of WeChat, usage of WeChat moments and usage of mobile payment were used to represent the internet use of older adults, and there was progressive relationship between these four variables. In the empirical study, multiple regression analysis was adopted to empirically analysis the impact of internet usage on the mental health of older adults. In order to reduce the influence of endogenous problems on regression results, the propensity score matching method was used to verify the validity and robustness of regression results. Results: (1) Internet usage can significantly reduce the psychological depression of older adults and promote the formation of positive psychology; (2) With the increase of the depth of internet usage, especially the use of mobile internet and mobile payment, the internet use will have greater improvement effect on the depression; (3) The heterogeneity test found that there were certain differences in the impact of internet usage on different older adult groups; (4) Through a step-by-step analysis of 10 sub-indicators of depression index, the study found that Internet use mainly affected four indicators: "life hope," "happiness," "loneliness" and "life confidence," while demonstrating no significant effect on other sub-indicators. Conclusion: According to the research, internet usage can significantly reduce the psychological depression index of the older adults and promote the formation of positive psychology. In China, digital exclusion is more prevalent in rural areas and among the less educated older adults. Public policies can be formulated to enhance internet adoption among these older adults population.

Dose-Response Associations of Internet Use Time and Internet Addiction With Depressive Symptoms Among Chinese Children and Adolescents: Cross-Sectional Study.

Background: Children's lives are increasingly mediated by digital technologies, yet evidence regarding the associations between internet use and depression is far from comprehensive and remains unclear. Objective: This study aimed to investigate the dose-response association between internet use, including use time and addiction behaviors, and depressive symptoms among children and adolescents in Zhejiang Province. Methods: Data were collected from a school-based health survey China Common Disease and Risk Factor Surveillance Among Students, encompassing 21,336 students in Zhejiang Province. The daily internet use time, internet addiction (IA) behaviors, and depressive symptoms were assessed with questionnaires. Logistic regression models were used to explore the associations of internet use time and IA behaviors with depressive symptoms among children and adolescents. Restricted cubic spline curves were used to determine the dose-response associations. Results: A total of 6225 (29.2%) students had depressive symptoms. Compared to those reporting no internet use, boys using the internet for >2 hours/day (odds ratio [OR] 1.53, 95% CI 1.34-1.74) and girls using internet for 1.1-2 hours/day (OR 1.22, 95% CI 1.06-1.39) and >2 hours/day (OR 1.70, 95% CI 1.50-1.93) were at higher risks of depressive symptoms. A significant J-shaped association was identified between internet use time and depressive symptoms among children and adolescents, especially in boys and primary school students (nonlinear P values were .006, .003, and <.001, respectively). Increased IA behaviors were associated with a higher odd of depressive symptoms (1 IA behavior: OR 2.01, 95% CI 1.83-2.21; 2 IA behaviors: 2.91, 95% CI 2.57-3.29; and ≥3 IA behaviors: 4.72, 95% CI 4.26-5.22). A positive nonlinear association between the number of IA behaviors and depressive symptoms was found in total population, girls, and primary school students (nonlinear P values were .02, .002, .007, respectively). Conclusions: Findings suggested that excessive internet use time and IA behaviors were significantly associated with an increased risk of depressive symptoms, highlighting the importance of interventions to regulate and educate about adequate internet use during childhood and adolescence.

Effect of internet usage on the life satisfaction of the elderly spousal caregivers of disabled elderly.

This empirical study examines the impact of internet usage on the life satisfaction of spousal caregivers responsible for elderly individuals with disabilities. Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS), released in November 2023, we analyzed the health status and life satisfaction of these caregivers in the context of the recent rapid development of the internet. A stratified Proportionate to Size Sampling (PPS) approach was employed in this investigation. We assessed whether the life satisfaction of spousal caregivers is associated with internet use and whether internet adoption can moderate intergenerational relationships, interpersonal interactions, and political engagement among these caregivers. The study analyzed a sample of 760 individuals, with an average age of 60.31 years, and rural households comprising 77.14% of the sample. Our findings indicate a positive correlation between internet usage and the life satisfaction of spousal caregivers. This result enhances our understanding of the relationship between internet usage and life satisfaction in this context. Furthermore, this study supports the advancement of internet access for the aging population, assists elderly individuals in bridging the digital divide, and provides a theoretical foundation for the development of targeted, elderly-friendly internet policies by the government.

Association between internet use and annual health checkups among older Japanese adults: propensity score-matched analysis, Japan gerontological evaluation study cross-sectional study 2016.

BACKGROUND: The integration of the Internet into daily life has potential implications for public health, especially in promoting preventive healthcare measures like annual health checkups. This study explores the association between Internet use and the likelihood of participating in these checkups among older Japanese citizens. METHODS: Participants aged 65 and older were randomly selected from 37 municipalities in Japan, ensuring they required no long-term care. Out of 24,313 responses to a postal questionnaire, 11,495 participants were deemed eligible for analysis, achieving a valid participation rate of 70.1%. We applied propensity score matching to balance Internet users and non-users, resulting in 6,504 matched cases. Poisson regression analysis was then used to adjust for demographic, socioeconomic, and behavioral variables that could act as potential confounders. RESULTS: Our findings show that 55.1% of participants used the Internet several times a month, and among these, 63.5% had attended an annual health checkup in the preceding year. After adjusting for potential confounders, Internet users were found to be 9% more likely to participate in annual health checkups compared to non-users (95% Confidence Interval: 1.02-1.15). CONCLUSIONS: This study concludes that there is a positive association between Internet use and participation in annual health checkups among older individuals in Japan. The results suggest that Internet use may serve as a tool to promote preventive healthcare practices in older populations. However, the study underscores the need for further investigation to understand the underlying mechanisms of this association and to establish a causal relationship.

Clicks and checks: investigating the association between internet usage frequency and women's uptake of clinical breast examination in Ghana.

BACKGROUND: In resource-constrained settings, availability and access to mammography is a challenge. As such, the World Health Organization (WHO) recommends clinical breast examination (CBE) for women in such settings. Yet, CBE uptake remains low. We, therefore, aimed to contribute to the discourse on factors that influence women's screening practice by investigating the association between the frequency of internet use and women's uptake of CBE in Ghana. METHODS: This study was based on data from 15,013 women who participated in the 2022 Ghana demographic and health survey. We performed descriptive analysis, computed Pearson's chi-square test, and fitted multivariable logistic regression models. The findings from the regression model were presented in adjusted odds ratio (AOR) at a 95% confidence interval. RESULTS: Only 18.39% of women 15-49 years had their breasts examined by a healthcare provider. About 38.22% of the total sample often used the internet. Compared to women who did not use the internet at all, those who often used it had twice the odds of getting screened (COR = 2.86; 95%CI: 2.62-3.13). The odds of CBE uptake remained significantly higher among those who often used the internet (AOR = 1.26; 95%CI: 1.12-1.43) even after adjusting for the covariates. CONCLUSION: We conclude that CBE uptake is significantly high among women who frequently use the internet. This association persists even when considering other influential factors such as age, education level, marital status, and socioeconomic status. As such, it is imperative for the Ministry of Health in collaboration with the Ghana Health Service to recognize the potential of digital health interventions, including online health education campaigns and telehealth services, in reaching and engaging women to get their breast examined by a healthcare provider.

Mediating Effects of Information Access on Internet Use and Multidimensional Health Among Middle-Aged and Older Adults: Nationwide Cross-Sectional Study.

BACKGROUND: With the exacerbation of population aging, the health issues of middle-aged and older adults have increasingly become a focus of attention. The widespread use of the internet has created conditions for promoting the health of this demographic. However, little is known about the effects of information access in promoting the relationship between internet use and the health of middle-aged and older adults. OBJECTIVE: This study aims to examine the relationship between internet use and multidimensional health in middle-aged and older adults, as well as the mediating effect of information access. Moreover, this study will explore the relationship between other dimensions of internet use (purposes and frequency) and health. METHODS: Data were sourced from the China General Social Survey conducted in 2018. Health outcomes, including self-rated, physical, and mental health, were assessed using the 5-level self-rated health scale, the 5-level basic activities of daily living scale, and the 5-level depression scale, respectively. The ordinal logistic regression model was used to examine the relationship between internet use and health among middle-aged and older adults. Additionally, the Karlson-Holm-Breen decomposition method was used to examine the mediation effect of information access. To address endogeneity issues, the two-stage least squares approach was applied. RESULTS: In our sample, nearly half (n=3036, 46.3%) of the respondents use the internet. Regression analyses revealed that internet use was positively associated with self-rated health (odds ratio [OR] 1.55, 95% CI 1.39-1.74; P<.001), physical health (OR 1.39, 95% CI 1.25-1.56; P<.001), and mental health (OR 1.33, 95% CI 1.19-1.49; P<.001) of middle-aged and older adults. Various dimensions of internet use positively contribute to health. In addition, information access significantly mediated the relationship between internet use and self-rated health (ß=.28, 95% CI 0.23-0.32), physical health (ß=.40, 95% CI 0.35-0.45), and mental health (ß=.16, 95% CI 0.11-0.20). Furthermore, there were significant differences in the relationship between internet use and health among advantaged and disadvantaged groups. CONCLUSIONS: The study showed that different dimensions of internet use are associated with better self-rated health, better physical health, and better mental health in middle-aged and older adults. Information access mediates the relationship between internet use and health. This result emphasizes the significance of promoting internet access as a means to enhance the health of middle-aged and older adults in China.

Internet use, spatial variation and its determinants among reproductive age women in Ethiopia.

BACKGROUND: The Internet is the preferred source of health information for retrieving relevant information. In Ethiopia, the Internet penetration rate is improving year to year, but it is still at a low level compared to the rest of the world and neighboring African countries. Due to a lack of adequate information, it is important to assess Internet use, spatial variation, and determinants of Internet use among reproductive-age group women in Ethiopia. METHOD: Secondary data from EDHS 2016 were used to analyze 15,683 women aged 15-49 years. Spatial analysis was performed using ArcGIS 10.7. The Bernoulli model was used by applying Kuldorff's methods using SaTScan 10.1.2 software to analyze the purely spatial clusters of Internet use. A multilevel mixed-effect logistic regression was applied to estimate community variance to identify individual- and community-level factors associated with Internet use. All models were fitted in STATA version 17.0, and finally, the adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was reported. RESULT: The magnitude of Internet use was 4.97% ± 95% CI (4.63-5.32). The overall average age of women was 24.21 ± 8.06 years, with the age range 15-24 years constituting the larger group (39.2%). Women with secondary and above education [AOR = 6.47; 95% CI (5.04, 8.31)], unmarried [AOR = 2.60; 95% CI (1.89, 3.56)], rich [AOR = 1.95; 95% CI (1.00, 3.80)], own a mobile phone [AOR = 3.74; 95% CI (2.75, 5.09)], media exposure [AOR = 2.63; 95% CI (2.03, 3.42)], and urban [AOR = 1.80; 95% CI (1.08, 3.01)] had higher odds of Internet use. The spatial variation in Internet use was found to be nonrandom (global Moran's I = 0.58, p value < 0.001). Fifty-seven primary clusters were identified that were located in Addis Ababa city with a relative likelihood of 10.24 and a log-likelihood ratio of 425.16. CONCLUSIONS: Internet use among reproductive-age women in Ethiopia is 4.97 and has significant spatial variation across the country. Both community- and individual-level factors affect Internet use in Ethiopia. Therefore, educating women, improving access to media, encouraging women to use family planning, and supporting household wealth could improve women's Internet use.

Socioeconomic inequalities in the relationship between internet usage patterns and depressive symptoms: Evidence from a Chinese longitudinal study.

Background: The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association. Methods: We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals' internet usage patterns and multiple linear regression to determine their association with depressive symptoms. Results: Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20). Conclusions: Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

The impact of Internet use and involvement on residents' attitudes to healthcare in China: A propensity score matching analysis.

The recent surge in Internet growth has significantly altered how residents obtain health information and services, underscoring the need to investigate its impact on healthcare perceptions. However, current studies often fail to distinguish between Internet use and involvement, as well as the diverse range of healthcare stakeholders, resulting in incomplete and inconsistent understanding. To address this, this study utilized data from the 2018 China Family Panel Study (CFPS 2018), categorizing attitudes toward healthcare into three dimensions: doctor trust, satisfaction with medical institutions, and perception of systemic healthcare issues. Employing propensity score matching (PSM) to control for thirteen confounding variables, this study examined the Internet's impact on public attitudes toward healthcare among similar demographic, psychological, and health-related variables. Results revealed that both Internet use and involvement affect residents' attitudes toward healthcare to some extent, with involvement having a more pronounced effect. While Internet use increased the perception of systemic healthcare issues, Internet involvement enhanced doctor trust, yet reduced satisfaction with medical institutions and exaggerated the perception of systemic healthcare issues. These findings have significant theoretical and practical implications. They enhance the comprehension of diverse levels and purposes of Internet use, thereby advancing our knowledge of its multi-faced influence on public attitudes toward healthcare. Furthermore, they offer insights for medical institutions to improve service quality, assist Internet media in optimizing information delivery, and illuminate the implications for residents who effectively use the Internet to assess health information.

Problematic Internet Use and Personality Traits: Results in Working Age Adults.

INTRODUCTION: Problematic Internet use has become a growing problem worldwide; several factors, including personality, play an essential role in understanding this disorder. The Big Five personality traits and their association with problematic Internet use were examined in a large and diverse population. METHODS: A survey was applied to a total of 1,109 adults of working age. Each answered the Big Five Inventory and the Internet Addiction Test. RESULTS: Problematic Internet use was found in 10.6% of them (n=112). The personality traits extraversion and openness to experience were significantly associated with those with the disorder. With adjustment models, a positive association was found between these traits and being single and higher education. CONCLUSIONS: This study represents the largest of its kind in the Spanish-speaking population, highlighting the importance of recognising the factors involved in problematic Internet use.

Aging wisely: The impact of Internet use on older adults' mental health.

This study aims to explore the impact of Internet use on the mental health of older adults and its pathway mechanisms and to provide a theoretical basis and practical guidance for improving the mental health of older adults and better realizing active aging. Using cross-sectional data from the 2020 China Health and Retirement Longitudinal Survey, 6722 older adults over 60 were finally included. We conducted descriptive and correlation analyses of the data; we analyzed the correlation of Internet use on the depression level and cognitive ability of older adults using seemingly unrelated regression; we further explored the mediating role of socialization frequency in the relationship between Internet use and the depression level and cognitive ability of older adults and its differences through mediation analysis. The results showed that the mean age of older adults in this study was (68.52 ± 5.97), the mean Internet use score was (1.12 ± 1.63), the mean depression score was (8.44 ± 6.31), and the mean cognitive score was (12.17 ± 3.27). Internet use had a positive impact on the mental health of older adults, including lowering depression (ß = -0.275, P < 0.05) and improving cognition (ß = 0.300, P < 0.05). Socialization frequency mediated the relationship between Internet use and depression/cognitive ability (95 % CI = -0.034 to -0.008, 95 % CI = 0.007-0.022). Therefore, it is essential to encourage older adults to use the Internet, actively integrate into the digital society, promote wise aging, share the fruits of technological development, and utilize the Internet to maintain the mental health of older adults.

The impact of internet usage preferences on labor income: Evidence from China.

BACKGROUND: The widespread application and iterative updating of computers and Internet communication technologies have not only increased productivity and enhanced intra- and inter-enterprise collaboration, but have also led to significant changes in the labor market and residents' labor income. In the digital era, accepting digital technology and possessing a certain degree of digital literacy have become the necessary abilities for people to survive and develop. However, the differences in digital literacy caused by individual differences will inevitably bring about a series of chain reactions. Therefore, it is necessary to study the subtle impact of Internet usage preference on residents' labor income in the context of digital transformation to promote digital equity. OBJECTIVE: This study aims to empirically analyze micro-level survey data to reveal the impact of individual differences in internet usage preferences on their labor income. The findings provide theoretical references for government policy formulation and individual development. METHODS: A function model was established to analyze the impact of individual internet usage preferences on labor income. Relevant data from the authoritative Chinese General Social Survey (CGSS2017) were selected, and empirical analyses for significance, heterogeneity, and robustness were conducted using the ZINB and CMP models in the Stata statistical software. CONCLUSION: (1) Higher Internet Usage Frequency (IUF) increases the likelihood of higher income. (2) Engaging in Online Social Networking (OSN) helps in accumulating social capital, leading to higher labor income. Meanwhile, participating in Online Entertainment (OE) relieves work and life stresses, thereby increasing labor income. Proficiency in Accessing Online Information (AOI) is associated with higher labor income, while frequent involvement in Online Business (OB) is correlated with higher personal income. Additionally, the Marginal utility of these internet usage preferences indicate that OB > AOI > OSN > OE. (3) Individual variations in physical, psychological, and social characteristics significantly influence the labor income effects of internet usage preferences. (4) There are substantial differences in the labor income effects of internet usage preferences between urban and rural areas and across different regions. (5) Education attainment has a positive mediating effect on the labour income effect of individual Internet use preferences, and enhancing residents' digital literacy has a positive effect on increasing their labour income and alleviating inequality in digital gains. (6) The popularity of Internet technology is the background that triggers an individual's Internet use, and the acceptance of a particular Internet technology is catalyzed by an individual's perception of the value and difficulty of mastering that technology; an individual's biased learning or proficiency in a particular Internet technology in order to gain higher competitiveness and value in the labour market is an important internal driving force.

Associations between personality and problematic internet use among Chinese adolescents and young adults: A network analysis.

BACKGROUND: With the number of internet users booming, problematic internet use (PIU) has become a public health threat. This study aims to figure out the inter-relationships between PIU symptoms and personality traits with network-based analysis among young people and to discuss the gender difference in the above networks. METHODS: Based on a national cross-sectional study in 2022, 4655 Chinese adolescents and young adults aged 14 to 25 were included. We adopted the 6-item Short-Form Problematic Internet Use Questionnaire (PIUQ-SF-6) and the 10-item version of the Big Five Inventory (BFI-10) to measure PIU and personality traits, respectively. Network analysis was used to identify influential nodes and edges and compare the network models between male and female participants. RESULTS: The mean age of 4655 participants was 19.84, and 52.1 % (2424) of them were females. There are differences in age and gender between participants with and without PIU (P < 0.05). The network of personality and PIU showed that 22 out of the 28 edges were estimated to be nonzero, and "obsession-neuroticism" was the strongest positive edge between the two communities. Central symptoms (i.e., "obsession" and "control disorder") and bridge symptoms (i.e., "obsession" and "neuroticism") have been identified. Gender differences existed in network global strength: female = 3.71, male = 3.18 (p < 0.001). LIMITATIONS: The cross-sectional study needs more evidence to build causal inference. CONCLUSIONS: The results of PIU-personality networks may contribute to the personalized prevention and treatment of PIU. The gender difference in PIU-personality networks also requires more attention and discussion.

Can internet use promote farmers to adopt chemical fertilizer reduction and efficiency enhancement technology in China?-an empirical analysis based on endogenous switching probit model.

This study examines the impact of internet usage on farmer's adoption behavior of fertilizer reduction and efficiency enhancement technologies in China. Based on 1,295 questionnaires in Henan Province, this study constructs a counterfactual analysis framework and used endogenous switching probit model to analyze the effects and pathways of internet usage on farmer's adoption behavior of chemical fertilizer reduction and efficiency enhancement technologies. The results indicate that. (1) The proportion of farmers adopting chemical fertilizer reduction and efficiency enhancement technologies is 60.15%, while the proportion of farmers not adopting these technologies is 39.85%. (2) Internet usage directly influences farmers' adoption of fertilizer reduction and efficiency enhancement technologies. According to counterfactual assumption analysis, if farmers who currently use the Internet were to stop using it, the probability of them adopting these technologies would decrease by 28.09%. Conversely, for farmers who do not currently use the Internet, if they were to start using it, the probability of them adopting fertilizer reduction and efficiency enhancement technologies would increase by 40.67%. (3) Internet usage indirectly influences farmers' adoption behavior through mediating pathways of expected benefits and risk perception. In addition, social networks negatively moderate the impact of internet usage on farmers' behavior of chemical fertilizer reduction and efficiency enhancement technologies.

Cognitive functioning and sustained internet use amid the COVID-19 pandemic: longitudinal evidence from older adults in Switzerland.

This study aimed to investigate the relationship between pre-pandemic objective and subjective cognitive functioning and sustained Internet use during the pandemic among older adults in Switzerland. Data from 1299 respondents of the Survey of Health, Ageing and Retirement in Europe (SHARE) in 2019/2020 and a supplementary technology use questionnaire during the pandemic in 2021 were used. Cognitive functioning was assessed in 2019/2020 through objective measures (delayed and immediate memory, verbal fluency) and self-rated memory. Sustained Internet use was defined as having used the Internet at least once in the past seven days in 2019/2020 and reporting daily or weekly use in 2021. We found that 73.1% of respondents consistently used Internet between 2019/2020 and 2021. Using multivariable probit regression models controlling for sociodemographic and health variables, we found that higher global cognition z-scores, especially in immediate and delayed memory, were associated with a higher likelihood of sustained Internet use. Additionally, respondents with good, very good, or excellent self-rated memory were more likely to sustain their Internet use. These findings highlight the potential critical role of cognitive health in shaping older adults' digital engagement, suggesting that cognitive assessments and training should be further considered in digital literacy initiatives for this population.