Mental Health

Influence of social networks and digital competency on loneliness and mental health among older adults in Thailand: A structural equation modeling analysis.

TL;DR

Social connectedness significantly mediated mental health outcomes and loneliness had a substantial positive effect on mental health among older Thai adults, while digital competency and traditional social networks showed unexpectedly weak influences on reducing loneliness, suggesting Western social support and digital inclusion frameworks require substantial modification for Thai contexts.

Key Findings

Social connectedness significantly mediated mental health outcomes among older adults in Thailand.

  • The mediation effect of social connectedness on mental health outcomes was β = 0.321, p < 0.001.
  • Structural equation modeling (SEM) was used to test mediation pathways.
  • Sample consisted of 165 older adult participants in Thailand.
  • The finding suggests quality of social connection, rather than quantity, plays a key role in mental health.

Loneliness had a substantial positive effect on mental health outcomes among older Thai adults.

  • The effect of loneliness on mental health was β = 0.677, p < 0.001, representing the strongest path coefficient reported.
  • This was identified as a 'substantial positive effect' in the context of the SEM analysis.
  • The direction of this relationship could not be confirmed as causal due to the cross-sectional design.
  • The authors note the potentially reciprocal relationship between loneliness and mental health as a limitation.

The study model explained 41.6% of the variance in loneliness and 45.9% of the variance in mental health outcomes.

  • Variance explained in loneliness: R² = 41.6%.
  • Variance explained in mental health outcomes: R² = 45.9%.
  • Predictors included social networks, social support, social connectedness, and digital competency.
  • These explanatory values indicate moderate model fit for both outcome variables.

Digital competency showed unexpectedly weak influence on reducing loneliness among older Thai adults.

  • Unlike findings from Western studies, digital competency did not significantly reduce loneliness in this Thai sample.
  • The authors suggest this may reflect Thailand's distinct patterns of technology adoption among older adults.
  • Face-to-face interactions within family and temple-based community structures were identified as the primary mode of social engagement.
  • The weak effect may also reflect the current stage of digital infrastructure development among older populations in Thailand rather than a universal cultural pattern.
  • Digital tools 'may not yet serve as meaningful substitutes for traditional relational practices' in this context.

Traditional social networks showed unexpectedly weak influences on reducing loneliness in the Thai older adult sample.

  • This finding contrasts with Western research frameworks that emphasize social network size and breadth.
  • The result suggests Western social support frameworks require 'substantial modification for Thai contexts.'
  • Cultural values, traditional family structures, and economic development conditions collectively influence social connection patterns in Thailand.
  • The study highlights 'the importance of quality over quantity in social connections.'

The study sample was predominantly female, urban, and relatively well-educated, limiting generalizability.

  • Total sample size was 165 participants.
  • The authors explicitly caution that the sample composition limits broader generalizability of findings.
  • The cross-sectional design precludes causal inference.
  • Findings are described as providing 'preliminary guidance' for Thai healthcare providers and policymakers.

What This Means

This research suggests that for older adults in Thailand, feeling socially connected and experiencing loneliness are both strongly linked to mental health, but the factors that drive those connections differ from what Western research typically finds. In a study of 165 older Thai adults using statistical modeling, feeling genuinely connected to others was an important pathway to better mental health, and loneliness was strongly associated with poorer mental health outcomes. However, having access to digital technology or larger social networks did not meaningfully reduce loneliness—a finding that runs counter to many Western studies promoting digital inclusion as a solution for older adult isolation. The researchers suggest this difference may be because older adults in Thailand rely primarily on in-person relationships through family and temple-based communities, and digital tools have not yet become meaningful substitutes for these traditional forms of connection. This implies that simply providing older Thai adults with smartphones or internet access is unlikely to address loneliness on its own. The study also found that the quality of social connections matters more than the quantity, suggesting that meaningful, culturally grounded relationships are more protective for mental health than broad but shallow social networks. This research matters because it cautions against applying Western-designed mental health and social inclusion programs directly to other cultural settings without adaptation. Programs designed for older adults in Thailand—and potentially in other developing nations with strong traditional family and community structures—may need to work with existing cultural practices rather than importing foreign frameworks. The study's authors note important limitations: the sample was mostly female, urban, and well-educated, the design cannot prove cause and effect, and the weak role of digital technology may partly reflect Thailand's current stage of digital development rather than a permanent cultural feature.

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Citation

Prasertwong W, Nokkaew N, Pitichat T, Phuthong T. (2026). Influence of social networks and digital competency on loneliness and mental health among older adults in Thailand: A structural equation modeling analysis.. Acta psychologica. https://doi.org/10.1016/j.actpsy.2026.106786