ArticleNpj mental health research2023
Assessment of depression and anxiety in young and old with a question-based computational language approach.
Article in Npj mental health research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The trial behind it
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
- Income, depressive symptoms, and anxiety symptoms in Indonesia: a two-year cross-lagged panel analysis of socioeconomic gradients.Frontiers in public health · 2026Article
- Water, sanitation, and depressive symptoms in Indonesia: The mediating role of life satisfaction.PloS one · 2026Article
- Prevalence and associated factors of anxiety and depression among patients with wounds: An exploratory cross-sectional study in the Taabo health and demographic surveillance system, Côte d'Ivoire.Global mental health (Cambridge, England) · 2026Article
- Psychosocial, Behavioral, and Quality of Life Insights in TMDs: A Comparative Exploration of Young and Mature Patients.Journal of pain research · 2026Article
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- Memory under siege: the cognitive costs of smoking and vaping.Brain, behavior, & immunity - health · 2025Review
- Global Burden of Depressive Disorders, 1990-2021, During the COVID-19 Pandemic and Projections to 2050: A Global Burden of Disease Study 2021.Psychiatry investigation · 2025Article
- The Association Between Age of First Exposure to American Football at a Young Age and Later-Life Health Issues in Healthy, Community-Dwelling Adults.Sports medicine (Auckland, N.Z.) · 2025Article
- Association between depressive symptoms and domestic violence and abuse among Nepali Women: A cross-sectional study.medRxiv : the preprint server for health sciences · 2025Article
- Normative Data for the Swedish Versions of the Beck Anxiety Index and Beck Depression Inventory-Version 2.International journal of methods in psychiatric research · 2025Article
- Fluctuations in Daily Happiness and Nervousness Based on Depressive and Anxious Symptoms in Adolescents or Young Adults Across 3 Latin American Cities: Experience Sampling Study.JMIR formative research · 2025Article
- Article
- Effects of aging on experimentally induced pain perception during a distraction task.Scientific reports · 2025Article
- Improvements in physical activity and depression symptoms: an observational study of users of a multi-modal digital mental health platform.Frontiers in digital health · 2025Article
- 1 km of living area: age differences in the association between neighborhood environment perception and self-rated health among Chinese people.BMC public health · 2024Article
- Article
- Examining the Effects of Social Media on Mental Health Among Adolescents in Saudi Arabia.Cureus · 2024Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Middle aged adults experience depression and anxiety differently than younger adults. Age may affect life circumstances, depending on accessibility of social connections, jobs, physical health, etc, as these factors influence the prevalence and symptomatology. Depression and anxiety are typically measured using rating scales; however, recent research suggests that such symptoms can be assessed by open-ended questions that are analysed by question-based computational language assessments (QCLA). Here, we study middle aged and younger adults' responses about their mental health using open-ended questions and rating scales about their mental health. We then analyse their responses with computational methods based on natural language processing (NLP). The results demonstrate that: (1) middle aged adults describe their mental health differently compared to younger adults; (2) where, for example, middle aged adults emphasise depression and loneliness whereas young adults list anxiety and financial concerns; (3) different semantic models are warranted for younger and middle aged adults; (4) compared to young participants, the middle aged participants described their mental health more accurately with words; (5) middle-aged adults have better mental health than younger adults as measured by semantic measures. In conclusion, NLP combined with machine learning methods may provide new opportunities to identify, model, and describe mental health in middle aged and younger adults and could possibly be applied to the older adults in future research. These semantic measures may provide ecological validity and aid the assessment of mental health.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.