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Evidence of global relevance

Predicting Loneliness in Thailand: A Nationwide Cross-Sectional Analysis of Health, Socio-Demographic, and Geographical Factors

A survey of 714 Thai adults recruited through a telehealth platform and community volunteers found 65.41% without loneliness, while the model explained 27% of variation. Age, sex, gender identity, marital and employment status and geography were associated with loneliness, but recruitment does not support a nationally representative prevalence estimate.

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Key findings

  • A total of 65.41% were classified without loneliness. Younger adults scored higher; men and LGBTQ+ respondents scored higher than women in this sample. Employment, marital status and geography were associated, with higher scores in Bangkok/metropolitan areas and lower scores in the South. Model R² was 0.27 (p
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Why this matters globally

Loneliness is a global public-health concern, and Thai evidence adds a middle-income-country perspective on urban context, social networks and population diversity.

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Thai researcher contribution

Mahasarakham University researchers combined telehealth and community networks to reach respondents across regions and inform future anti-isolation services.

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Limitations to consider

Platform- and volunteer-based recruitment may differ from the general population and is not a national probability sample. Cross-sectional data cannot establish direction. Subgroup sizes and uncertainty are not given in the abstract, and most variation remains unexplained.

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Verify the original sources

International Journal of GeoinformaticsRead the original article

DOI: 10.52939/ijg.v22i6.5037

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