{"id":680616,"date":"2026-09-09T16:47:24","date_gmt":"2026-09-09T16:47:24","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/680616\/"},"modified":"2026-09-09T16:47:24","modified_gmt":"2026-09-09T16:47:24","slug":"depression-risk-associated-with-idealized-sentiment-toward-urban-places-on-social-media","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/680616\/","title":{"rendered":"Depression risk associated with idealized sentiment toward urban places on social media"},"content":{"rendered":"
  • \n

    Herrman, H. et al. Time for united action on depression: a Lancet\u2013World Psychiatric Association Commission. Lancet 399<\/b>, 957\u20131022 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Depressive disorder (depression). World Health Organization https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/depression<\/a> (2025).<\/p>\n<\/li>\n

  • \n

    Risch, N. et al. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis. JAMA 301<\/b>, 2462\u20132471 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    The Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nat. Neurosci. 18<\/b>, 199\u2013209 (2015).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Banay, R. F. et al. Greenness and depression incidence among older women. Environ. Health Perspect. 127<\/b>, 027001 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stenfors, C. U. D. et al. More green, less depressed: residential greenspace is associated with lower antidepressant redemptions in a nationwide population-based study. Landsc. Urban Plan. 249<\/b>, 105109 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Xu, J. et al. Effects of urban living environments on mental health in adults. Nat. Med. 29<\/b>, 1456\u20131467 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    South, E. C., Hohl, B. C., Kondo, M. C., MacDonald, J. M. & Branas, C. C. Effect of greening vacant land on mental health of community-dwelling adults: a cluster randomized trial. JAMA Netw. Open 1<\/b>, e180298 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Purtle, J. et al. Urban\u2013rural differences in older adult depression: a systematic review and meta-analysis of comparative studies. Am. J. Prev. Med. 56<\/b>, 603\u2013613 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Xu, C., Miao, L., Turner, D. & DeRubeis, R. Urbanicity and depression: a global meta-analysis. J. Affect. Disord. 340<\/b>, 299\u2013311 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Stier, A. J. et al. Evidence and theory for lower rates of depression in larger US urban areas. Proc. Natl Acad. Sci. USA 118<\/b>, e2022472118 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sarkar, C., Webster, C. & Gallacher, J. Residential greenness and prevalence of major depressive disorders: a cross-sectional, observational, associational study of 94\u2009879 adult UK Biobank participants. Lancet Planet. Health 2<\/b>, e162\u2013e173 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Wang, J. et al. Long-term exposure to residential greenness and decreased risk of depression and anxiety. Nat. Ment. Health 2<\/b>, 525\u2013534 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mu, Y., Yi, M. & Liu, Q. Association of neighborhood recreational facilities and depressive symptoms among Chinese older adults. BMC Geriatr. 23<\/b>, 667 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Qiao, D., Wu, S., Xiang, L. & Zhang, N. Association of residential environment with depression and anxiety symptoms among older adults in China: a cross-sectional population-based study. Build. Environ. 257<\/b>, 111535 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Infantino, E. et al. Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression. BMC Pediatr 24<\/b>, 774 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Generaal, E., Timmermans, E. J., Dekkers, J. E. C., Smit, J. H. & Penninx, B. W. J. H. Not urbanization level but socioeconomic, physical and social neighbourhood characteristics are associated with presence and severity of depressive and anxiety disorders. Psychol. Med. 49<\/b>, 149\u2013161 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zheng, X. et al. Living environment, service quality satisfaction and depression among Chinese older adults in elderly caring social organizations. J. Affect. Disord. 366<\/b>, 25\u201335 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kou, N., Suo, J., Wu, M. & Song, B. The influence of residential environment and residential experience on psychological depression in older adults: evidence from China and Europe. Health Place 88<\/b>, 103264 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fossa, A. J., D\u2019Souza, J., Bergmans, R. S., Zivin, K. & Adar, S. D. Different types of greenspace within urban parks and depressive symptoms among older U.S. adults living in urban areas. Environ. Int. 192<\/b>, 109016 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zijlema, W. et al. Cities and mental health: the role of the built environment, and environmental and lifestyle factors in Barcelona. Environ. Pollut. 346<\/b>, 123559 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Thekkekara, J. P., Yongchareon, S. & Liesaputra, V. An attention-based CNN-BiLSTM model for depression detection on social media text. Expert Syst. Appl. 249<\/b>, 123834 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yuan, C., Zhang, X., Tang, L. & Xiong, Y. CBEES: a fine-grained commercial built environment perception and evaluation based on social media. Sustain. Cities Soc. 119<\/b>, 106120 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Dai, D., Dong, W., Wang, Y., Liu, S. & Zhang, J. Exploring the relationship between urban residents\u2019 emotional changes and built environment before and during the COVID-19 pandemic from the perspective of resilience. Cities 141<\/b>, 104510 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Succar, R., Ramallo, S., Das, R., Ventura, R. B. & Porfiri, M. Understanding the role of media in the formation of public sentiment towards the police. Commun. Psychol. 2<\/b>, 11 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Kelley, S. W. & Gillan, C. M. Using language in social media posts to study the network dynamics of depression longitudinally. Nat. Commun. 13<\/b>, 870 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bathina, K. C., ten Thij, M., Lorenzo-Luaces, L., Rutter, L. A. & Bollen, J. Individuals with depression express more distorted thinking on social media. Nat. Hum. Behav. 5<\/b>, 458\u2013466 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cai, Y., Wang, H., Ye, H., Jin, Y. & Gao, W. Depression detection on online social network with multivariate time series feature of user depressive symptoms. Expert Syst. Appl. 217<\/b>, 119538 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Helmy, A., Nassar, R. & Ramdan, N. Depression detection for Twitter users using sentiment analysis in English and Arabic tweets. Artif. Intell. Med. 147<\/b>, 102716 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Liu, T. et al. Head versus heart: social media reveals differential language of loneliness from depression. npj Ment. Health Res. 1<\/b>, 16 (2022).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mangalik, S. et al. Robust language-based mental health assessments in time and space through social media. npj Digit. Med 7<\/b>, 109 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Reades, J., Hu, Y., Tranos, E. & Delmelle, E. The city as text. Nat. Cities 2<\/b>, 794\u2013800 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    He, X., Zhou, Y., Yuan, X. & Zhu, M. The coordination relationship between urban development and urban life satisfaction in Chinese cities \u2013 an empirical analysis based on multi-source data. Cities 150<\/b>, 105016 (2024).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Eichstaedt, J. C. et al. Facebook language predicts depression in medical records. Proc. Natl Acad. Sci. USA 115<\/b>, 11203\u201311208 (2018).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Sherdell, L., Waugh, C. E. & Gotlib, I. H. Anticipatory pleasure predicts motivation for reward in major depression. J. Abnorm. Psychol. 121<\/b>, 51\u201360 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Heller, A. S. et al. Reduced capacity to sustain positive emotion in major depression reflects diminished maintenance of fronto-striatal brain activation. Proc. Natl Acad. Sci. USA 106<\/b>, 22445\u201322450 (2009).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Thompson, R. J. et al. The everyday emotional experience of adults with major depressive disorder: examining emotional instability, inertia, and reactivity. J. Abnorm. Psychol. 121<\/b>, 819\u2013829 (2012).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yang, Y. et al. Emotion dynamics prospectively predict depressive symptoms in adolescents: findings from intensive longitudinal data. BMC Psychol. 13<\/b>, 386 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Reinen, J. M. et al. Differential reinforcement learning responses to positive and negative information in unmedicated individuals with depression. Eur. Neuropsychopharmacol. 53<\/b>, 89\u2013100 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bailey, E. R., Matz, S. C., Youyou, W. & Iyengar, S. S. Authentic self-expression on social media is associated with greater subjective well-being. Nat. Commun. 11<\/b>, 4889 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fancourt, D. & Tymoszuk, U. Cultural engagement and incident depression in older adults: evidence from the English Longitudinal Study of Ageing. Br. J. Psychiatry 214<\/b>, 225\u2013229 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Mason, T. B. et al. Self-discrepancy theory as a transdiagnostic framework: a meta-analysis of self-discrepancy and psychopathology. Psychol. Bull. 145<\/b>, 372\u2013389 (2019).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Yu, E. & Kim, H.-C. Is she really happy? A dual-path model of narcissistic self-presentation outcomes for female Facebook users. Comput. Hum. Behav. 108<\/b>, 106328 (2020).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ford, B. Q., Shallcross, A. J., Mauss, I. B., Floerke, V. A. & Gruber, J. Desperately seeking happiness: valuing happiness is associated with symptoms and diagnosis of depression. J. Soc. Clin. Psychol. 33<\/b>, 890\u2013905 (2014).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Gong, Y., Palmer, S., Gallacher, J., Marsden, T. & Fone, D. A systematic review of the relationship between objective measurements of the urban environment and psychological distress. Environ. Int. 96<\/b>, 48\u201357 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fang, C. & Yu, D. Urban agglomeration: an evolving concept of an emerging phenomenon. Landsc. Urban Plan. 162<\/b>, 126\u2013136 (2017).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Elkhidir, E., Mannakkara, S., Henning, T. F. P. & Wilkinson, S. A pathway towards resilient cities: national resilience knowledge networks. Cities 136<\/b>, 104243 (2023).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Bettencourt, L. M. A. The origins of scaling in cities. Science 340<\/b>, 1438\u20131441 (2013).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    van der Wal, J. M. et al. Advancing urban mental health research: from complexity science to actionable targets for intervention. Lancet Psychiatry 8<\/b>, 991\u20131000 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ren, Z., Ma, D., Jiang, B. & Seipel, S. Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data. Geospat. Inf. Sci. 29<\/b>, 530\u2013545 (2026).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Fried, E. I., Epskamp, S., Nesse, R. M., Tuerlinckx, F. & Borsboom, D. What are \u2018good\u2019 depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. J. Affect. Disord. 189<\/b>, 314\u2013320 (2016).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Grattafiori, A. et al. The Llama 3 herd of models. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2407.21783<\/a> (2024).<\/p>\n<\/li>\n

  • \n

    Binz, M. et al. A foundation model to predict and capture human cognition. Nature 644<\/b>, 1002\u20131009 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Cui, Y., Che, W., Liu, T., Qin, B. & Yang, Z. Pre-training with whole word masking for Chinese BERT. IEEE\/ACM Trans. Audio Speech Lang. Process. 29<\/b>, 3504\u20133514 (2021).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Ramezani, E. B. Sentiment analysis applications using deep learning advancements in social networks: a systematic review. Neurocomputing 634<\/b>, 129862 (2025).<\/p>\n

    Article<\/a>\u00a0
    \n
    \n Google Scholar<\/a>\u00a0\n <\/p>\n<\/li>\n

  • \n

    Zhang, Y. et al. Qwen3 embedding: advancing text embedding and reranking through foundation models. Preprint at https:\/\/doi.org\/10.48550\/arXiv.2506.05176<\/a> (2025).<\/p>\n<\/li>\n

  • \n

    Loshchilov, I. & Hutter, F. Decoupled weight decay regularization. In International Conference on Learning Representations https:\/\/openreview.net\/pdf?id=Bkg6RiCqY7<\/a> (2019).<\/p>\n<\/li>\n

  • \n

    Wolf, T. et al. Transformers: state-of-the-art natural language processing. In Proc. 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations 38\u201345 (Association for Computational Linguistics, 2020).<\/p>\n<\/li>\n

  • \n

    Sundararajan, M., Taly, A. & Yan, Q. Axiomatic attribution for deep networks. In Proc. of the 34th International Conference on Machine Learning Vol. 70 (eds Precup, D. & Teh, Y. W.) 3319\u20133328 (PMLR, 2017).<\/p>\n<\/li>\n

  • \n

    Clark, K., Luong, M.-T., Le, Q. V. & Manning, C. D. ELECTRA: pre-training text encoders as discriminators rather than generators. In International Conference on Learning Representations https:\/\/openreview.net\/pdf?id=r1xMH1BtvB<\/a> (2020).<\/p>\n<\/li>\n","protected":false},"excerpt":{"rendered":"Herrman, H. et al. Time for united action on depression: a Lancet\u2013World Psychiatric Association Commission. Lancet 399, 957\u20131022…\n","protected":false},"author":2,"featured_media":680617,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[276],"tags":[4912,16645,20208,287978,18,14643,31719,135,19,17,167,502,3267,29999,133,30000,9301,14646,30002,14645,30001],"class_list":["post-680616","post","type-post","status-publish","format-standard","has-post-thumbnail","category-mental-health","tag-cities","tag-civil-engineering","tag-countries","tag-cultural-and-media-studies","tag-eire","tag-environmental-studies","tag-geography","tag-health","tag-ie","tag-ireland","tag-mental-health","tag-mentalhealth","tag-neurology","tag-regions","tag-science","tag-sustainable-architecture-green-buildings","tag-technology-and-society","tag-towns","tag-urban-economics","tag-urban-geography-urbanism-inc-megacities","tag-urban-studies-sociology"],"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@ie\/117242104856751071","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/680616","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=680616"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/680616\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/680617"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=680616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=680616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=680616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}