The U-shape Association between Population Agglomeration and Individual Depression: the Role of Dialect Diversity

Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P, et al. Time for united action on depression: a Lancet-World Psychiatric Association Commission. Lancet. 2022;399(10328):957–1022.

Article  PubMed  Google Scholar 

Wu P, Wang R, Lin H, Zhang F, Tu J, Sun M. Automatic depression recognition by intelligent speech signal processing: a systematic survey. CAAI T Intell Techno. 2023;8(3):701–11.

Article  Google Scholar 

Patel V, Chisholm D, Parikh R, Charlson FJ, Degenhardt L, Dua T, et al. Addressing the burden of mental, neurological, and substance use disorders: key messages from Disease Control Priorities. Lancet. 2016;387(10028):1672–85.

Article  PubMed  Google Scholar 

Santomauro DF, Herrera AMM, Shadid J, Zheng P, Ashbaugh C, Pigott DM, et al. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet. 2021;398(10312):1700–12.

Article  Google Scholar 

Shi S, Chen Y-C, Yip PSF. Relative deprivation patterns in social and geographical references for health trajectories in China: investigations of gender and urban-rural disparities. Soc Sci Med. 2023;317:115589.

Article  PubMed  Google Scholar 

Akhtar P, Ma L, Waqas A, Naveed S, Li Y, Rahman A, et al. Prevalence of depression among university students in low and middle income countries (LMICs): a systematic review and meta-analysis. J Affect Disorders. 2020;274:911–9.

Article  PubMed  Google Scholar 

Crandall A, Powell EA, Bradford GC, Magnusson BM, Hanson CL, Barnes MD, et al. Maslow’s hierarchy of needs as a framework for understanding adolescent depressive symptoms over time. J Child Fam Stud. 2020;29:273–81.

Article  Google Scholar 

Wang J, Zhang J, Lin H, Han Y, Tu J, Nie X. Economic development, weak ties, and depression: evidence from China. J Affect Disorders. 2023;334:246–57.

Article  PubMed  Google Scholar 

Turney K. The relationship between youth police stops and depression among fathers. J Urban Health. 2023;100(2):269–78.

Article  PubMed  PubMed Central  Google Scholar 

Stier AJ, Schertz KE, Rim NW, Cardenas-Iniguez C, Lahey BB, Bettencourt LM, et al. Evidence and theory for lower rates of depression in larger US urban areas. Proc Natl Acad Sci. 2021;118(31):e2022472118.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Silverstein M, Gong CH, Kendig H. Perceived availability of future care and depressive symptoms among older adults in China: evidence from CHARLS. BMC Geriatr. 2020;20:31.

Article  PubMed  PubMed Central  Google Scholar 

Miles R, Coutts C, Mohamadi A. Neighborhood urban form, social environment, and depression. J Urban Health. 2012;89:1–18.

Article  PubMed  Google Scholar 

Doepke M, Zilibotti F. Parenting with style: altruism and paternalism in intergenerational preference transmission. Econometrica. 2017;85(5):1331–71.

Article  Google Scholar 

Zhu J, Grigoriadis TN. Chinese dialects, culture & economic performance. China Econ Rev. 2022;73:101783.

Article  Google Scholar 

Kim S-Y, Park J-H, Lee MY, Oh K-S, Shin D-W, Shin Y-C. Physical activity and the prevention of depression: a cohort study. Gen Hosp Psychiat. 2019;60:90–7.

Article  Google Scholar 

Zhang C. The Chinese mosaic: cultural diversity and creative cities. J Regional Sci. 2019;59(2):214–27.

Article  Google Scholar 

Sha T, Yan Y, Cheng W. Associations of childhood socioeconomic status with mid-life and late-life cognition in Chinese middle-aged and older population based on a 5-year period cohort study. Int J Geriatr Psych. 2018;33(10):1335–45.

Article  Google Scholar 

Li H, Liu J, Yang Z, Liu RW, Wu K, Wan Y. Adaptively constrained dynamic time warping for time series classification and clustering. Inf Sci. 2020;534:97–116.

Article  Google Scholar 

Hu H, Yu G, Xiong X, Guo L, Huang J. Cultural diversity and innovation: an empirical study from dialect. Technol Soc. 2022;69:101939.

Article  Google Scholar 

Feng W, Wu Y, Fu Y. Dialect diversity and foreign direct investment in China. China World Econ. 2021;29(2):49–72.

Article  CAS  Google Scholar 

Chen H, Mui AC. Factorial validity of the center for epidemiologic studies depression scale short form in older population in China. Int Psychogeriatr. 2014;26(1):49–57.

Article  CAS  PubMed  Google Scholar 

Zhou L, Ma X, Wang W. Relationship between cognitive performance and depressive symptoms in Chinese older adults: the China Health and Retirement Longitudinal Study (CHARLS). J Affect Disorders. 2021;281:454–8.

Article  PubMed  Google Scholar 

Beck A, Davidson AJ, Xu S, Josh Durfee M, Oronce CIA, Steiner JF, et al. A multilevel analysis of individual, health system, and neighborhood factors associated with depression within a large metropolitan area. J Urban Health. 2017;94(6):780–90.

Article  PubMed  PubMed Central  Google Scholar 

Xu Y, Yang J, Gao J, Zhou Z, Zhang T, Ren J, et al. Decomposing socioeconomic inequalities in depressive symptoms among the elderly in China. BMC Public Health. 2016;16(1):1214.

Article  PubMed  PubMed Central  Google Scholar 

Li Y, He Y, Zhao L, Yu D, Ding G. Sociodemographic disparity of the depression prevalence in China: findings from the China Health and Retirement Longitudinal study. Int J Gerontol. 2019;13(1):33–7.

Google Scholar 

Gu D, Zhu H, Brown T, Hoenig H, Zeng Y. Tourism experiences and self-rated health among older adults in China. J Aging Health. 2016;28(4):675–703.

Article  PubMed  Google Scholar 

Thapa B, Torres I, Koya SF, Robbins G, Abdalla SM, Arah OA, et al. Use of data to understand the social determinants of depression in two middle-income countries: the 3-D commission. J Urban Health. 2021;98(1):41–50.

Article  PubMed  PubMed Central  Google Scholar 

Handley TE, Rich J, Lewin TJ, Kelly BJ. The predictors of depression in a longitudinal cohort of community dwelling rural adults in Australia. Soc Psych Psych Epid. 2019;54(2):171–80.

Article  Google Scholar 

Lin H, Chen L, Yu M, Li C, Lampel J, Jiang W. Too little or too much of good things? The horizontal S-curve hypothesis of green business strategy on firm performance. Technol Forecast Soc. 2021;172:121051.

Article  Google Scholar 

Rautio N, Filatova S, Lehtiniemi H, Miettunen J. Living environment and its relationship to depressive mood: a systematic review. Int J Soc Psychiatr. 2017;64(1):92–103.

Article  Google Scholar 

Sundquist K, Frank G, Sundquist J. Urbanisation and incidence of psychosis and depression: follow-up study of 4.4 million women and men in Sweden. Brit J Psychiat. 2004;184(4):293–8.

Article  PubMed  Google Scholar 

Lu S, Chen S, Wang P. Language barriers and health status of elderly migrants: micro-evidence from China. China Econ Rev. 2019;54:94–112.

Article  Google Scholar 

Bernard JD, Baddeley JL, Rodriguez BF, Burke PA. Depression, language, and affect: an examination of the influence of baseline depression and affect induction on language. J Lang Soc Psychol. 2015;35(3):317–26.

Article  Google Scholar 

Dennett JM, Baicker K. Medicaid, health, and the moderating role of neighborhood characteristics. J Urban Health. 2022;99(1):116–33.

Article  PubMed  PubMed Central  Google Scholar 

Chen L, Chang L, Lin H, Tu J, Chen X, Han Y. Depressive disorder benefits of cities: evidence from the China. J Affect Disorders. 2024;350:420–7.

Article  PubMed  Google Scholar 

Comments (0)

No login
gif