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Development and Validation of the Social Capital and Built Environment Questionnaires

사회적 자본과 구축환경 질문지 개발 및 타당화 연구

  • Jeong-A Yu (Department of Neuropsychiatry, Eulji University School of Medicine) ;
  • Ji-Ae Yun (Department of Neuropsychiatry, Eulji University School of Medicine) ;
  • Ji-Hoon Kim (Department of Neuropsychiatry, Eulji University School of Medicine) ;
  • Hye-Min Kim (Department of Neuropsychiatry, Eulji University School of Medicine) ;
  • Kyeong-Sook Choi (Department of Neuropsychiatry, Eulji University School of Medicine)
  • 유정아 (을지대학교 의과대학 정신건강의학교실) ;
  • 윤지애 (을지대학교 의과대학 정신건강의학교실) ;
  • 김지훈 (을지대학교 의과대학 정신건강의학교실) ;
  • 김혜민 (을지대학교 의과대학 정신건강의학교실) ;
  • 최경숙 (을지대학교 의과대학 정신건강의학교실)
  • Received : 2024.01.04
  • Accepted : 2024.03.04
  • Published : 2024.04.30

Abstract

Objective : The objective of this study is to create questionnaires for Social Capital (SCQ) and Built Environment (BEQ) that can be utilized as protective factors for mental health. Methods : A total of 426 adults aged 18 or older, residing in 'D' Metropolitan City in Korea, were included as subjects in this study. Data for subjective evaluation of social capital and built environment were collected through an online survey. Various statistical analyses, such as reliability analysis, exploratory factor analysis, confirmatory factor analysis, and correlation analysis between PHQ-9 and GAD-7, were conducted. Results : The Cronbach's α values for SCQ and BEQ were 0.94 and 0.90, respectively, indicating good reliability. Exploratory factor analysis revealed that SCQ consisted of 4 factors, explaining a total of 71.91%, while BEQ consisted of 4 factors, explaining a total of 62.18%. Confirmatory factor analysis confirmed that both questionnaires had a reasonable configuration, with TLI, CFI, and RMSEA values at an appropriate level. Additionally, both SCQ and BEQ showed negative correlations with depression and anxiety. Conclusion : This study has developed a tool for measuring social capital and the built environment in Korea. It also demonstrates the reliability and validity of this questionnaire. The use of this tool could greatly support preventive mental health interventions within the community.

Keywords

Acknowledgement

본 연구는 질병관리청 연구용역사업 연구비를 지원받아 수행되었음(연구사업번호 2021-11-020).

References

  1. Health NCfM. National Mental Health Survey 2021. Seoul: National Center for Mental Health 2022. 
  2. Connell J, Brazier J, O'Cathain A, Lloyd-Jones M, Paisley S. Quality of life of people with mental health problems: a synthesis of qualitative research. Health and Quality of Life Outcomes 2012;10:1-16.  https://doi.org/10.1186/1477-7525-10-1
  3. Moore S, Kawachi I. Twenty years of social capital and health research: a glossary. J Epidemiol Community Health 2017;71:513-517.  https://doi.org/10.1136/jech-2016-208313
  4. World Health Organizaiton (WHO). A conceptual framework for action on the social determinants of health. Geneva: WHO 2010. 
  5. Kawachi I, Kennedy BP, Lochner K, Prothrow-Stith D. Social capital, income inequality, and mortality. American Journal of Public Health 1997;87:1491-1498.  https://doi.org/10.2105/AJPH.87.9.1491
  6. Evans GW. The built environment and mental health. Journal of Urban Health 2003;80:536-555.  https://doi.org/10.1093/jurban/jtg063
  7. Coleman JS. Social capital in the creation of human capital. American Journal of Sociology 1988;94:95-120.  https://doi.org/10.1086/229033
  8. Egolf B, Lasker J, Wolf S, Potvin L. The Roseto effect: a 50-year comparison of mortality rates. American Journal of Public Health 1992;82:1089-1092.  https://doi.org/10.2105/AJPH.82.8.1089
  9. Cohen-Cline H, Beresford SA, Barrington W, Matsueda R, Wakefield J, Duncan GE. Associations between social capital and depression: a study of adult twins. Health & Place 2018;50:162-167.  https://doi.org/10.1016/j.healthplace.2018.02.002
  10. Kang SG, Lee JL, Koo JH. The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul. International Journal for Equity in Health 2023;22:64-76.  https://doi.org/10.1186/s12939-023-01875-w
  11. Nutakor JA, Zhou L, Larnyo E, Addai-Danso S, Tripura D. Socioeconomic status and quality of life: an assessment of the mediating effect of social capital. Healthcare 2023;11:749-761.  https://doi.org/10.3390/healthcare11050749
  12. Lubben JE. Assessing social networks among elderly populations. Family and Community Health 1988;11:42-52.  https://doi.org/10.1097/00003727-198811000-00008
  13. Buckner JC. The development of an instrument to measure neighborhood cohesion. American Journal of Community Psychology 1988;16:771-791.  https://doi.org/10.1007/BF00930892
  14. Krishna A, Shrader E. Social capital assessment tool. Washington DC;1999. 
  15. Choi JH, Ahn TS, Lee EH. The qualitative study on the development of social capital scale in community - focused on community welfare network. Korean Journal of Social Welfare 2010;62:297-324.  https://doi.org/10.20970/KASW.2010.62.4.013
  16. Oh HS, Doh SG. A Study on the Analysis of the Relationship between Social Capital and Economic Performance: focusing on the effect of associational activities of the elderly and semi-elderly people on personal income and economic satisfaction. The Korean Governance Review 2022;29:195-218. 
  17. Ham HK, Lee KH, Kim SW. A study on the effect of social capital on employment and economic activity: focusing on Korea, Japan and Taiwan. Social Work Practice & Research 2023;20:39-69.  https://doi.org/10.38082/SWPR.2023.20.01.39
  18. Min JH, Yang JJ, Oh SE. Living arrangement and depressive symptoms among older adults in Jeju during COVID-19 Pandemic: focus on moderating effect of social capital. Korean Journal of Gerontological Social Welfare 2023;78:43-69.  https://doi.org/10.21194/kjgsw.78.2.202306.43
  19. Centers for Disease Control and Prevention (CDC). The Built Environment Assessment Tool Manual 2021. 
  20. Wright PA, Kloos B. Housing environment and mental health outcomes: a levels of analysis perspective. Journal of Environmental Psychology 2007;27:79-89.  https://doi.org/10.1016/j.jenvp.2006.12.001
  21. Richardson JG. The Forms of Capital. In: Bourdieu P, editor. Handbook of Theory and Research for the Sociology of Education. New York: Greenwood Press;1986. p.241-258. 
  22. Thomson H, Snell C. Quantifying the prevalence of fuel poverty across the European Union. Energy Policy 2013;52:563-572.  https://doi.org/10.1016/j.enpol.2012.10.009
  23. Melis G, Gelormino E, Marra G, Ferracin E, Costa G. The effects of the urban built environment on mental health: a cohort study in a large northern Italian city. International Journal of Environmental Research and Public Health 2015;12:14898-14915.  https://doi.org/10.3390/ijerph121114898
  24. Won JW, Lee CN, Forjuoh SN, Ory MG. Neighborhood safety factors associated with older adults' health-related outcomes: a systematic literature review. Social Science & Medicine 2016;165:177-186.  https://doi.org/10.1016/j.socscimed.2016.07.024
  25. Tang S, Lee HF, Feng J. Social capital, built environment and mental health: a comparison between the local elderly people and the 'laopiao' in urban China. Ageing & Society 2022;42:179-203.  https://doi.org/10.1017/S0144686X2000077X
  26. Fernandez-Nino JA, Bonilla-Tinoco LJ, Manrique-Espinoza BS, Salinas-Rodriguez A, Santos-Luna R, Roman-Perez S, et al. Neighborhood features and depression in Mexican older adults: a longitudinal analysis based on the study on global AGEing and adult health (SAGE) PloS 2019;14:1-21.  https://doi.org/10.1371/journal.pone.0219540
  27. Handy SL, Boarnet MG, Ewing R, Killingsworth RE. How the built environment affects physical activity: views from urban planning. American Journal of Preventive Medicine 2002;23:64-73.  https://doi.org/10.1016/S0749-3797(02)00475-0
  28. Sallis JF, Kerr J, Carlson JA, Norman GJ, Saelens BE, Durant N, et al. Evaluating a brief self-report measure of neighborhood environments for physical activity research and surveillance: physical activity neighborhood environment scale (PANES). Journal of Physical Activity and Health 2010;7:533-540.  https://doi.org/10.1123/jpah.7.4.533
  29. Kondo K, Lee JS, Kawakubo K, Kataoka Y, Asami Y, Mori K, et al. Association between daily physical activity and neighborhood environments. Environmental Health and Preventive Medicine 2009;14:196-206.  https://doi.org/10.1007/s12199-009-0081-1
  30. Oyeyemi AL, Sallis JF, Oyeyemi AY, Amin MM, De Bourdeaudhuij I, Deforche B. Adaptation, test-retest reliability, and construct validity of the Physical Activity Neighborhood Environment Scale in Nigeria (PANES-N). Journal of Physical Activity and Health 2013;10:1079-1090.  https://doi.org/10.1123/jpah.10.8.1079
  31. Lee HJ, Lee DK. Do sociodemographic factors and urban green space affect mental health outcomes among the urban elderly population? International Journal of Environmental Research and Public Health 2019;16:1-13.  https://doi.org/10.3390/ijerph16050789
  32. Park SH, Choi YM, Seo HL, Kim JH. Perception of pedestrian environment and satisfaction of neighborhood walking - an impact study based on four residential communities in Seoul, Korea. Journal of the Architectural Institute of Korea 2009;25:253-261. 
  33. Murayama H, Nishi M, Matsuo E, Nofuji Y, Shimizu Y, Taniguchi Y, et al. Do bonding and bridging social capital affect self-rated health, depressive mood and cognitive decline in older Japanese? A prospective cohort study. Social Science & Medicine 2013;98:247-252.  https://doi.org/10.1016/j.socscimed.2013.09.026
  34. Stafford M, Mcmunn A, De Vogli R. Neighbourhood social environment and depressive symptoms in mid-life and beyond. Ageing & Society 2011;31:893-910.  https://doi.org/10.1017/S0144686X10001236
  35. KWP. Korea Welfare Panel Study;2019. 
  36. An JY, Seo ER, Lim KH, Shin JH, Kim JB. Standardization of the Korean version of Screening Tool for Depression (Patient Health Questionnaire-9, PHQ-9). Journal of the Korean Society of Biological Therapies in Psychiatry 2013;19:47-56. 
  37. Seo JG, Park SP. Validation of the Generalized Anxiety Disorder-7 (GAD-7) and GAD-2 in patients with migraine. The Journal of Headache and Pain 2015;16:1-7.  https://doi.org/10.1186/1129-2377-16-1
  38. Ahn JK, Kim Y, Choi KH. The psychometric properties and clinical utility of the Korean version of GAD-7 and GAD-2. Frontiers in Psychiatry 2019;10:1-8.  https://doi.org/10.3389/fpsyt.2019.00127
  39. Bae BR. Structural Equation Modeling with Amos 24. Seoul: Cheon-gRam Press;2017. 
  40. Costello AB, Osborne J. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation 2005;10:1-9. 
  41. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociological Methods & Research 1992;21:230-258.  https://doi.org/10.1177/0049124192021002005
  42. Kang HC. A guide on the use of factor analysis in the assessment of construct validity. Journal of Korean Academy of Nursing 2013;43:587-594.  https://doi.org/10.4040/jkan.2013.43.5.587
  43. Lochner K, Kawachi I, Kennedy BP. Social capital: a guide to its measurement. Health & Place 1999;5:259-270.  https://doi.org/10.1016/S1353-8292(99)00016-7
  44. Bassett E, Moore S. Social capital and depressive symptoms: the association of psychosocial and network dimensions of social capital with depressive symptoms in Montreal, Canada. Social Science & Medicine 2013;86:96-102.  https://doi.org/10.1016/j.socscimed.2013.03.005
  45. Kingsbury M, Clayborne Z, Colman I, Kirkbride JB. The protective effect of neighbourhood social cohesion on adolescent mental health following stressful life events. Psychological Medicine 2020;50:1292-1299.  https://doi.org/10.1017/S0033291719001235
  46. Cutrona CE, Wallace G, Wesner KA. Neighborhood characteristics and depression: an examination of stress processes. Current Directions in Psychological Science 2006;15:188-192.  https://doi.org/10.1111/j.1467-8721.2006.00433.x
  47. Anderson CE, Broyles ST, Wallace ME, Bazzano LA, Gustat J. Peer Reviewed: association of the neighborhood built environment with incident and prevalent depression in the Rural South. Preventing Chronic Disease 2021;18:1-13.  https://doi.org/10.5888/pcd18.200605
  48. Wang R, Lu Y, Zhang J, Liu P, Yao Y, Liu Y. The relationship between visual enclosure for neighbourhood street walkability and elders' mental health in China: using street view images. Journal of Transport & Health 2019;13:90-102.  https://doi.org/10.1016/j.jth.2019.02.009
  49. Liu M, Zhao S, Li J. Associations among perceived built environment, attitudes, walking behavior, and physical and mental state of college students during COVID-19. Travel Behaviour and Society 2022;28:170-180.  https://doi.org/10.1016/j.tbs.2022.04.003
  50. Guo S, Yang G, Pei T, Ma T, Song C, Shu H, et al. Analysis of factors affecting urban park service area in Beijing: perspectives from multi-source geographic data. Landscape and Urban Planning 2019;181:103-117. https://doi.org/10.1016/j.landurbplan.2018.09.016