Association between depressive symptoms and cognitive performance in middle-aged and older adults across digital divide.

ObjectivesOlder people are more likely to have digital exclusion, which is associated with poor health. This study investigated the relationship between digital exclusion and cognitive impairment in older adults from 23 countries across five longitudinal surveys.Design and measurementsDigital exclusion is defined as self-reported non-use of the Internet. We assessed cognitive impairment on three dimensions: orientation, memory, and executive function. We used generalized estimation equations fitting binary logistic regression with exchangeable correlations to study the relationship between digital exclusion and cognitive impairment, and apply the minimum sufficiently adjusted set of causally directed acyclic graphs as the adjusted variable.Setting and participantsWe pooled a nationally representative sample of older adults from five longitudinal studies, including the China Health and Retirement Longitudinal study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS), the Mexican Health and Ageing Study (MHAS) and the Survey of Health, Ageing and Retirement in European (SHARE).ResultsWe included 62,413 participants from five longitudinal studies. Digital exclusion varied by country, ranging from 21.69% (SHARE) in Denmark to 97.15% (CHARLS) in China. In the original model, digital exclusion was significantly associated with cognitive impairment in all five studies. In the adjusted model, these associations remained statistically significant: CHARLS (Odds ratio [OR] = 2.81, 95% confidence interval [CI] 1.84–4.28, ELSA (1.92 [1.70–2.18]), HRS(2.48[2.28–2.71), MHAS (1.92 [1.74–2.12]), and SHARE (2.60 [2.34–2.88]).ConclusionOur research shows that a significant proportion of older people suffer from digital exclusion, especially in China. Digital exclusion was positively correlated with cognitive impairment. These findings suggest that digital inclusion could be an important strategy to improve cognitive function and reduce the risk of cognitive impairment in older adults.

ObjectiveOlder adults are more vulnerable to digital exclusion, which has been associated with psychological distress. This study investigated the relationship between digital exclusion and loneliness among older adults across three countries using three longitudinal surveys.Design and measurementsDigital exclusion was defined as self-reported non-use of the internet. Loneliness was assessed using the Three-Item Loneliness Scale (T-ILS). We employed Generalized Estimating Equations (GEE) with binary logistic regression and propensity score matching (PSM) to examine the association between digital exclusion and loneliness, adjusting for covariates including Age; Gender; Education; Marital status; Employment status; Cohabitation with children; Self-rated health; and Income.Setting and participantsNationally representative samples of older adults were obtained from three longitudinal studies: the China Health and Retirement Longitudinal Study (CHARLS), the Health and Retirement Study (HRS), and the English Longitudinal Study of Ageing (ELSA). The analysis included 39,190 participants (87,256 observations) across the three studies.ResultsSubstantial cross-national disparities in digital exclusion rates were observed: CHARLS (96.20%), HRS (52.13%), and ELSA (33.54%). In the fully adjusted model (Model 3), digital exclusion was significantly associated with loneliness in all three studies (CHARLS: OR = 1.22; HRS: OR = 1.16; ELSA: OR = 1.30). These associations remained statistically significant after propensity score matching (CHARLS: OR = 1.33; HRS: OR = 1.23; ELSA: OR = 1.23).ConclusionOur findings indicate that a substantial proportion of older adults experience digital exclusion, particularly in China. Digital exclusion demonstrates a positive association with loneliness, suggesting that enhancing digital inclusion may serve as a critical strategy for alleviating loneliness and mitigating psychological distress in ageing populations.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12877-025-06337-2.

BackgroundCognition disorders not only lead to adverse health consequences but also contribute to a range of socioeconomic challenges and diminished capacity for performing routine daily activities. In the digital era, understanding the impact of digital exclusion on cognitive function is crucial, especially in developing countries.ObjectiveThis study aimed to evaluate the association between digital exclusion and cognitive function among elderly populations in developing countries.MethodsUsing data from CHARLS (China Health and Retirement Longitudinal Study) from 2011 to 2020 and MHAS (Mexican Health & Aging Study) from 2012 to 2021, we defined digital exclusion as self-reported absence from the internet. Cognitive function was assessed through 5 tests: orientation, immediate verbal recall, delayed verbal recall, serial 7s, and figure recall. Cognitive function was assessed in 2 categories: worse cognition (a categorical variable that classifies cognition as either better or worse compared to the entire cohort population) and cognitive scores (a continuous variable representing raw cognitive scores across multiple follow-up waves). Logistic regression analyses and generalized estimating equation (GEE) analyses were used to examine the relationship between cognitive function and digital exclusion, adjusting for potential confounders, including demographics, lifestyle factors, history of chronic diseases, basic activities of daily living (BADL) disability, instrumental activities of daily living (IADL) disability, and basic cognitive abilities.ResultsAfter excluding participants with probable cognitive impairment at baseline and those who did not have a complete cognitive assessment in any given year (ie, all tests in the cognitive assessment must be completed in any follow-up wave), a total of 24,065 participants in CHARLS (n=11,505, 47.81%) and MHAS (n=12,560, 52.19%) were included. Of these, 96.78% (n=11,135) participants in CHARLS and 70.02% (n=8795) in MHAS experienced digital exclusion. Adjusted logistic regression analyses revealed that individuals with digital exclusion were more likely to exhibit worse cognitive performance in both CHARLS (odds ratio [OR] 2.04, 95% CI 1.42-2.99; P<.001) and MHAS (OR 1.40, 95% CI 1.26-1.55; P<.001). Gender and age did not significantly modify the relationship between digital exclusion and worse cognition (intervention P>.05). The fully adjusted mean differences in global cognitive scores between the 2 groups were 0.98 (95% CI 0.70-1.28; P<.001) in CHARLS and 0.50 (95% CI 0.40-0.59; P<.001) in MHAS.ConclusionsA substantial proportion of older adults, particularly in China, remain excluded from internet access. Our study examined longitudinal changes in cognitive scores and performed cross-sectional comparisons using Z-score standardization. The findings suggest that digital exclusion is linked to an increased risk of cognitive decline among older adults in developing countries. Promoting internet access may help mitigate this risk and support better cognitive health in these populations.

To analyse how refined living arrangements, in the context of digital access, affect elderly healthcare resource utilisation and satisfaction with healthcare needs. A prospective cohort study. The study reporting is conformed to the STROBE checklist. This longitudinal study utilised data from the 2018-2020 waves of the United States-based Health and Retirement Study and the 2013-2015 waves of the China Health and Retirement Longitudinal Study. Baseline living arrangement was categorised into living alone, intergenerational living, living with spouse, nuclear living and proximate residence. Unmet healthcare needs at follow-up waves (i.e., 2020 wave of Health and Retirement Study and 2015 wave of China Health and Retirement Longitudinal Study) were classified into unmet clinical care needs and unmet preventive care needs, which were measured using three measurements on whether the participant had disorders, whether the participants use any clinical care, and whether the participants use any preventive care. Digital exclusion was assessed using a single question about internet access at baseline. A total of 7116 participants from the China Health and Retirement Longitudinal Study cohort (female: 48.6%, mean age: 57.4 years) and 7266 from the Health and Retirement Study cohort (female: 64.9%, mean age: 65.1 years) were included. Compared with older adults living a nuclear arrangement, those living an inter-generational arrangement with digital exclusion had higher clinical care utilisation, but not necessarily lower risk of unmet clinical needs; they also had lower preventive care utilisation in the Health and Retirement Study cohort, while living with spouse led to higher preventive care utilisation in the China Health and Retirement Longitudinal Study cohort. Living arrangements can affect older adults' healthcare utilisation and unmet healthcare needs, which can be moderated by digital exposure. These findings suggest that healthcare providers should tailor care strategies by considering both living situations and digital literacy. Enhancing digital access, especially for those in inter-generational households, could help address unmet healthcare needs and improve overall care satisfaction. This study using the STROBE CHECKLIST for reporting guideline. No patient or public contribution. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY: By comparing data from both the United States and China, it highlights the importance of considering family structure and digital inclusion when addressing healthcare needs globally. The findings suggest that older adults in inter-generational living arrangements without digital access face higher clinical care demands but still struggle with unmet healthcare needs. This underscores the need for healthcare systems worldwide to address digital exclusion and adapt care strategies to individual living circumstances to enhance healthcare outcomes for the elderly population.

Digital exclusion posed a significant challenge, especially in middle-aged and older adults, which affected their health outcomes. However, the evidence regarding the associations of digital exclusion on physical or cognitive function outcomes was controversial, and no systematic review had been performed to synthesize the pooled associations. This study aimed to explore the relationship between digital exclusion and physical or cognitive function in middle-aged and older adults. We conducted a systematic review and meta-analysis of cohort and cross-sectional studies, including Chinese or English publications retrieved from PubMed, Embase, Web of Science, PsycINFO, Scopus, CNKI, and Wanfang databases up to August 31, 2024. The risk of bias was evaluated using the Newcastle-Ottawa Scale (NOS). The pooled effect size was calculated based on odds ratios (ORs), hazard ratios, risk ratios, and 95% CIs. This study was registered on PROSPERO (CRD42024585459). Nineteen studies met the inclusion criteria, including 13 cohort studies and 6 cross-sectional studies, which had moderate-to-low risk of bias. The pooled analysis indicated that digital exclusion had prospective associations with decreased basic activities of daily living (incidence rate ratio 1.35, 95% CI 1.12-1.64, I2=94.7%) and instrumental activities of daily living (incidence rate ratio 1.46, 95% CI 1.13-1.89, I2=96.2%), or cross-sectional association with activities of daily living (OR 1.23, 95% CI 0.41-3.73, I2=91%), with no statistical significance in the prospective association with frailty (OR 1.21, 95% CI 0.92-1.59, I2=95.2%). There were prospective associations between digital exclusion and dementia (hazard ratio 1.78, 95% CI 1.43-2.22, I2=0%), decreased Mini-Mental State Examination scores (OR 1.96, 95% CI 1.39-2.75, I2=0%), as well as cross-sectional associations with Mini-Mental State Examination scores (OR 2.90, 95% CI 2.07-4.07, I2=0%), and no statistical significance in the prospective association with cognitive impairment (risk ratio 2.08, 95% CI 0.98-4.44, I2=78.2%). Our findings indicated the negative associations of digital exclusion with physical and cognitive functions. Future research and clinical practice should consider designing digital interventions and services that match the physical and cognitive capacities and preferences of middle-aged and older adults, thereby improving digital engagement and reducing the harms associated with digital exclusion. Policies should focus on expanding access, reducing financial barriers, and improving digital literacy. However, due to the presence of heterogeneity and publication bias, the results should be interpreted cautiously.

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Digital exclusion has been linked to adverse health outcomes among older adults. However, its relationship with health literacy, a midstream determinant of health outcomes in aging populations, remains insufficiently explored. To investigate the relationship between digital exclusion and health literacy among older adults, and to assess the mediating effects of social support and self-efficacy. A cross-sectional study. Data from the 2021 Psychology and Behaviour Investigation of Chinese Residents (PBICR) survey were used. Digital exclusion was assessed through self-reported non-use of computers or smartphones. Health literacy, social support and self-efficacy were measured using the Short-Form Health Literacy Instrument, the 12-item Perceived Social Support Scale and the New General Self-Efficacy Scale. Generalised linear models (GLM) were employed to examine the relationships between digital exclusion and health literacy, while mediation analysis with bootstrapping assessed the mediating roles of social support and self-efficacy. A total of 1147 older adults participated in the study, with 27.64% identified as digitally excluded and a moderate level of health literacy. GLM analysis identified several significant factors influencing health literacy, including digital exclusion, social support, self-efficacy, higher education levels, household monthly income per capita > 3000 RMB, non-agricultural hukou, chronic conditions and medication use. Mediation analysis revealed that digital exclusion negatively impacted health literacy. Social support and self-efficacy partially mediated the relationship between digital exclusion and health literacy. Digital exclusion is negatively associated with health literacy among older adults, with social support and self-efficacy partially mediating the relationship. This study underscores the importance of addressing digital exclusion, as well as promoting social support and self-efficacy to enhance health literacy in ageing populations. This study provides insights into the relationship between digital exclusion and health literacy among older adults, as well as the mediating effects of social support and self-efficacy, offering potential targets for health literacy improvement. STROBE Statement (STrengthening the Reporting of OBservational studies in Epidemiology). No patient or public contribution was involved.

Background: Digital exclusion is a global issue that disproportionately affects older individuals especially in low- and middle-income nations. However, there is a wide gap in current research regarding the impact of digital exclusion on the mental health of older adults in both high-income and low- and middle-income countries. Methods: We analyzed data from 5 longitudinal cohorts: the Health and Retirement Study (HRS), the English Longitudinal Study of Aging (ELSA), the Survey of Health, Ageing and Retirement in Europe (SHARE), the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS). These cohorts consisted of nationwide samples from 24 countries. Digital exclusion was defined as the self-reported lack of access to the internet. Depressive symptoms were assessed using comparable scales across all cohorts. We used generalized estimating equation models, fitting a Poisson model, to investigate the association between the digital exclusion and depressive symptoms. We adjusted for the causal directed acyclic graph (DAG) minimal sufficient adjustment set (MSAS), which includes gender, age, retirement status, education, household wealth, social activities, and weekly contact with their children. Results: During the study period (2010-2018), 122,242 participants underwent up to 5 rounds of follow-up. Digital exclusion varied greatly across countries, ranging from 21.1% in Denmark to 96.9% in China. The crude model revealed a significant association between digital exclusion and depressive symptoms. This association remained statistically significant in the MSAS-adjusted model across all cohorts: HRS [incidence rate ratio (IRR), 1.37; 95% confidence interval (CI), 1.28 to 1.47], ELSA (IRR, 1.32; 95% CI, 1.23 to 1.41), SHARE (IRR, 1.30; 95% CI, 1.27 to 1.33), CHARLS (IRR, 1.62; 95% CI, 1.38 to 1.91), and MHAS (IRR, 1.31; 95% CI, 1.26 to 1.37); all Ps < 0.001. Notably, this association was consistently stronger in individuals living in lower wealth quintile households across all 5 cohorts and among those who do not regularly interact with their children, except for ELSA. Conclusions: Digital exclusion is globally widespread among older adults. Older individuals who are digitally excluded are at a higher risk of developing depressive symptoms, particularly those with limited communication with their offspring and individuals living in lower wealth quintile households. Prioritizing the provision of internet access to older populations may help reduce the risks of depression symptoms, especially among vulnerable groups with limited familial support and with lower income.

Older people are more likely to be excluded from the digital world, and this has been linked to poor health outcomes. The extent and direction of the influence of digital exclusion on functional dependency is, however, not well understood. We aimed to investigate the association between digital exclusion and functional dependency among older adults from high-income countries (HICs) and low- and middle-income countries (LMICs). In this multicohort study, we pooled individual-level data from five longitudinal cohort studies that included nationally representative samples of older adults across 23 countries, including the Health and Retirement Study (HRS), the English Longitudinal Study of Aging (ELSA), the Survey of Health, Ageing and Retirement in Europe (SHARE), the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS). The digital exclusion was recorded as an absence from internet use by self-reported. We assessed basic activities of daily living (BADL) and instrumental activities of daily living (IADL), and we used interval-of-need methods to categorize the functional dependency. We applied generalized estimating equations models fitting Poisson model to investigate the association of digital exclusion with difficulties in BADL or IADL and functional dependency, adjusting for the causal-directed-acyclic-graph (DAG) minimal sufficient adjustment set (MSAS), including gender, age level, labour force status, education, household wealth level, marital status, and co-residence with children. We included 108,621 participants recruited between 2010 and 2018 with a median follow-up of 3 phrases. Digital exclusion in older adults varied across countries, ranging from 23.8% in Denmark (SHARE) to 96.9% in China (CHARLS). According to the crude model, digital exclusion was significantly associated with functional dependency. In the MSAS-adjusted model, those associations remained statistically significant: HRS (incidence rate ratio [IRR]=1.40, 95% confidence interval [CI] 1.34-1.48 for BADL; 1.71 [1.61-1.82] for IADL), ELSA (1.31[1.22-1.40] in BADL and 1.37 [1.28-1.46] in IADL), SHARE (1.69 [1.61-1.78] in BADL and 1.70 [1.63-1.78] in IADL), CHARLS (2.15 [1.73-2.67] in BADL and 2.59 [2.06-3.25] in IADL), and MHAS (1.15 [1.09-1.21] in BADL and 1.17 [1.09-1.25] in IADL). In the subgroup analyses, the associations were more pronounced in the oldest-old (aged≥80 years old). There is a substantial proportion of older adults who are excluded from the Internet, especially those in LMIC. Older people excluded from the Internet regardless of whether they live in HICs or LMICs are more likely to develop functional dependency. It should be made a priority to remove barriers to Internet access in order to assist older people in maintaining their independence and, consequently, to reduce the care burden associated with the ageing population worldwide. The National Natural Science Foundation of China (No. 71904004).

Background:Social isolation and digital exclusion are significant public health concerns, particularly among older adults, with potential links to mental, cognitive, and physical health. This study aims to quantify the associations of social isolation and digital exclusion with depression, cognitive decline, and physical functioning in community-dwelling older adults.Methods:We conducted a systematic review and meta-analysis of 11 primary studies (9 observational, 2 randomized controlled trials) published since the year 2000. These studies included over 3,50,000 participants from North America, Europe, and Asia. We performed meta-analysis using random-effects models to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs) for depression and cognitive decline. Physical function outcomes were analyzed qualitatively due to insufficient data for quantitative pooling. We assessed heterogeneity using the I2 statistic and performed subgroup and sensitivity analyses to explore potential biases.Results:For depression risk, the pooled OR from analyses of approximately 1,11,784 participants was 1.60 (95% CI: 1.39–1.84, P < .001). This indicates a 60% higher likelihood of depressive symptoms among socially or digitally disconnected seniors. Cognitive decline, assessed in 3 longitudinal cohorts, showed a nonsignificant pooled OR of 1.03 (95% CI: 0.92–1.15). Physical function outcomes, including reductions in short physical performance battery scores and increased activities of daily living disability, were consistently worse among isolated or digitally excluded individuals. We found moderate heterogeneity for depression (I2 = 43%) and cognition (I2 = 55%), with no evidence of small-study bias.Conclusion:Our findings suggest that both social isolation and digital exclusion are independently and significantly associated with an elevated risk of depression in older adults. Furthermore, these factors correlate with poorer physical functioning. Digital exclusion may be a critical “super-social determinant” of health, underscoring the need for integrated interventions that address both social connectivity and digital literacy to improve the well-being of the elderly.

Advancements in digital technologies have transformed the world by providing more opportunities and possibilities. However, elderly persons have several challenges utilizing modern technology, leading to digital exclusion, which can negatively impact sustainable development. This research attempts to address the current digital exclusion by addressing the challenges older people face considering evolving digital technologies, focusing on economic, social, and environmental sustainability. Three distinct goals are pursued in this study: to perform a detailed literature review to identify gaps in the current understanding of digital exclusion among the elderly, to identify the primary factors affecting digital exclusion in the elderly, and to analyze the patterns and trends in different countries, with a focus on differentiating between High-Income Countries (HICs) and Lower Middle-Income Countries (LMICs). The research strategies used in this study involve a combination of a literature review and a quantitative analysis of the digital exclusion data from five cohorts. This study uses statistical analysis, such as PCA, chi-square test, one-way ANOVA, and two-way ANOVA, to present a complete assessment of the digital issues that older persons experience. The expected results include the identification of factors influencing the digital divide and an enhanced awareness of how digital exclusion varies among different socio-economic and cultural settings. The data used in this study were obtained from five separate cohorts over a five-year period from 2019 to 2023. These cohorts include ELSA (UK), SHARE (Austria, Germany, France, Estonia, Bulgaria, and Romania), LASI (India), MHAS (Mexico), and ELSI (Brazil). It was discovered that the digital exclusion rate differs significantly across HICs and LMICs, with the UK having the fewest (11%) and India having the most (91%) digitally excluded people. It was discovered that three primary factors, including socio-economic status, health-related issues, and age-related limitations, are causing digital exclusion among the elderly, irrespective of the income level of the country. Further analysis showed that the country type has a significant influence on the digital exclusion rates among the elderly, and age group plays an important role in digital exclusion. Additionally, significant variations were observed in the life satisfaction of digitally excluded people within HICs and LMICs. The interaction between country type and digital exclusion also showed a major influence on the health rating. This study has a broad impact since it not only contributes to what we know academically about digital exclusion but also has practical applications for communities. By investigating the barriers that prevent older people from adopting digital technologies, this study will assist in developing better policies and community activities to help them make use of the benefits of the digital era, making societies more equitable and connected. This paper provides detailed insight into intergenerational equity, which is vital for the embedding principles of sustainable development. Furthermore, it makes a strong case for digital inclusion to be part of broader efforts (and policies) for creating sustainable societies.

This paper reports on the progress of a current PhD research study. The research study will evolve through four phases and eventually develop a conceptual framework for effective teaching and learning approaches that influence digital inclusion and exclusion of students from diverse backgrounds. It will also seek to identify differences in learner characteristics and how these characteristics impact on needs, experiences and engagement with technology for learning, specifically within a blended learning programme. The research will move away from traditional definitions of diversity and explore the differing characteristics of a varied learner population. The research adopts a critical realist perspective, using a qualitative multi-phase methodology that will evolve sequentially in the future. The focus of this paper is to outline the research to date. Phase 1 and Phase 2 have been completed and are reported in this paper. Findings suggest that digital exclusion cannot be predicted or dealt with by categorising students into groupings of: gender, age, ethnicity, geography, socio-economic status and educational background. Additionally, the findings indicate that digital exclusion is influenced by organisational factors, such as elements of the course content or navigation of the virtual learning environment rather than intrinsic factors such as individual technological skills.

The COVID‐19 pandemic has meant a rapid transfer of everyday activities to the online world. Information and communication technologies (ICTs) have become more embedded than ever in people's lives. This investigation addresses how this change has affected the lives of people with intellectual disabilities (ID). A two‐step design was used. A rapid review was conducted on empirical studies published between January 2019 and June 2021. Search terms related to ID, ICT use and COVID‐19. A qualitative international bricolage was also conducted corresponding to author nationalities. Data gathered from the review and bricolage were analysed separately using thematic analysis and relationally synthesised. Digital solutions to provide access to COVID‐19 information and guidance seemed inadequate but were seldom empirically studied. Digital poverty, literacy and exclusion remain significant issues for people with ID internationally. People and their carers experienced reduced and removed service provision, loneliness and impoverished daily lives during the pandemic; amelioration of which was facilitated by digital solutions. One solution often used was videoconferencing. Prior experience of digital participation, adequate finances, connection, support and digital literacy mentoring for both people with ID and those providing services and support facilitated digital inclusion. Digital exclusion during COVID‐19 was exacerbated by sociopolitical, structural, individual and support‐related barriers. Although awareness of digital exclusion appears to have been raised, the extent to which this has led to action and change remains unclear. Despite digital exclusion and digital participation benefitting continuation of life, social and emotional well‐being and autonomy, COVID‐19 has not provided the impetus to eradicate digital poverty for people with ID. Governmental support, digital education, creativity and problem solving are required to enable people with ID the human right to be included in the digital world at this essential time and into the future.

Digital exclusion in older adults: A scoping review.

To explore the associations between clustering of cardiometabolic risk factors, physical activity (PA), and digital exclusion with depressive symptoms trajectories, and to assess whether PA and digital exclusion mediate these associations. This study included 8999 participants from the Health and Retirement Study (HRS, n = 4380) and the English Longitudinal Study of Ageing (ELSA, n = 4519). Cardiometabolic risk factors included waist circumference, high-density lipoprotein (HDL) cholesterol, systolic and diastolic blood pressure, type 2 diabetes mellitus, glycated hemoglobin (HbA1c), and C-reactive protein (CRP). Depressive symptoms, PA, and digital exclusion were assessed via self-report. Statistical analyses used multinomial logistic regression and the Karlson-Holm-Breen (KHB) method. We identified three clustering of cardiometabolic risk factors and four depressive symptoms trajectories. Compared to participants classified as healthy obesity, those in the obesity-hypertension group had an OR of 1.26 (95% CI: 1.09-1.46) for the moderately severe depressive symptom trajectory, while those in the complex cardiometabolic group had an OR of 1.31 (95% CI: 1.08-1.58), 1.79 (95% CI: 1.45-2.23), or 2.19 (95% CI: 1.66-2.90) for the moderate, moderately severe, or severe depressive symptom trajectory, respectively. Compared to those with PA insufficiency and digital exclusion, among PA sufficient participants, the OR of being in the moderate, moderately severe, or severe depressive symptom trajectory was 0.74 (95% CI: 0.65-0.84), 0.57 (95% CI: 0.50-0.66), or 0.35 (95% CI: 0.20-0.61), respectively; among digitally engaged participants, the OR of being in the moderately severe or severe trajectory was 0.63 (95% CI: 0.53-0.75) or 0.42 (95% CI: 0.33-0.54), respectively. Compared with the healthy obesity group, those with sufficient PA or digital inclusion in obesity-hypertension and complex cardiometabolic groups had lower odds of depressive symptoms trajectories. Mediation analysis showed that PA and digital inclusion accounted for 12.5% and 6.67% of the association between clustering of cardiometabolic risk factors and the severe depressive symptom trajectory, respectively. The obesity-hypertension was only associated with increased odds of the moderately severe depressive symptom trajectory, while the complex cardiometabolic pattern was associated with increased odds of depressive symptoms trajectories; in contrast, sufficient PA and digital inclusion were associated with reduced odds.