Protective Association Between Neighborhood Walkability and Depression in Older Men
OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross‐sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study. SETTING: King County, Washington. PARTICIPANTS: Seven hundred forty rand...
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| Published in | Journal of the American Geriatrics Society (JAGS) Vol. 55; no. 4; pp. 526 - 533 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Malden, USA
Blackwell Publishing Inc
01.04.2007
Blackwell Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
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| Abstract | OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults.
DESIGN: Cross‐sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study.
SETTING: King County, Washington.
PARTICIPANTS: Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years.
MEASUREMENTS: Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer‐specific neighborhood walkability score and depressive symptoms.
RESULTS: There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual‐level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women.
CONCLUSION: This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community‐level mental health treatment and focus depression screening in less‐walkable areas. |
|---|---|
| AbstractList | To evaluate the association between neighborhood walkability and depression in older adults.OBJECTIVESTo evaluate the association between neighborhood walkability and depression in older adults.Cross-sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study.DESIGNCross-sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study.King County, Washington.SETTINGKing County, Washington.Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years.PARTICIPANTSSeven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years.Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer-specific neighborhood walkability score and depressive symptoms.MEASUREMENTSDepressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer-specific neighborhood walkability score and depressive symptoms.There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual-level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women.RESULTSThere was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual-level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women.This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community-level mental health treatment and focus depression screening in less-walkable areas.CONCLUSIONThis study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community-level mental health treatment and focus depression screening in less-walkable areas. To evaluate the association between neighborhood walkability and depression in older adults. Cross-sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study. King County, Washington. Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer-specific neighborhood walkability score and depressive symptoms. There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual-level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women. This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community-level mental health treatment and focus depression screening in less-walkable areas. OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross‐sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study. SETTING: King County, Washington. PARTICIPANTS: Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years. MEASUREMENTS: Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer‐specific neighborhood walkability score and depressive symptoms. RESULTS: There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual‐level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii ( P =.02), indicating a protective association with neighborhood walkability. This association was not significant in women. CONCLUSION: This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community‐level mental health treatment and focus depression screening in less‐walkable areas. OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross‐sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study. SETTING: King County, Washington. PARTICIPANTS: Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years. MEASUREMENTS: Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer‐specific neighborhood walkability score and depressive symptoms. RESULTS: There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual‐level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women. CONCLUSION: This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community‐level mental health treatment and focus depression screening in less‐walkable areas. OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross-sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study. SETTING: King County, Washington. PARTICIPANTS: Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years. MEASUREMENTS: Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer-specific neighborhood walkability score and depressive symptoms. RESULTS: There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual-level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women. CONCLUSION: This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community-level mental health treatment and focus depression screening in less-walkable areas. [PUBLICATION ABSTRACT] |
| Author | Berke, Ethan M. Gottlieb, Laura M. Moudon, Anne Vernez Larson, Eric B. |
| Author_xml | – sequence: 1 givenname: Ethan M. surname: Berke fullname: Berke, Ethan M. organization: From the Departments ofFamily Medicine, †Urban Design and Planning, and ‡Medicine, University of Washington, Seattle, Washington§Group Health Cooperative Center for Health Studies, Seattle, Washington – sequence: 2 givenname: Laura M. surname: Gottlieb fullname: Gottlieb, Laura M. organization: From the Departments ofFamily Medicine, †Urban Design and Planning, and ‡Medicine, University of Washington, Seattle, Washington§Group Health Cooperative Center for Health Studies, Seattle, Washington – sequence: 3 givenname: Anne Vernez surname: Moudon fullname: Moudon, Anne Vernez organization: From the Departments ofFamily Medicine, †Urban Design and Planning, and ‡Medicine, University of Washington, Seattle, Washington§Group Health Cooperative Center for Health Studies, Seattle, Washington – sequence: 4 givenname: Eric B. surname: Larson fullname: Larson, Eric B. organization: From the Departments ofFamily Medicine, †Urban Design and Planning, and ‡Medicine, University of Washington, Seattle, Washington§Group Health Cooperative Center for Health Studies, Seattle, Washington |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18720994$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/17397430$$D View this record in MEDLINE/PubMed |
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| Issue | 4 |
| Keywords | Human Mood disorder Social influence Urban environment built environment Mental health Depression Male Prevention walkability Gerontology Association Health and environment Neighbourhood Urbanization older people Elderly Public health Geriatrics |
| Language | English |
| License | http://onlinelibrary.wiley.com/termsAndConditions#vor CC BY 4.0 |
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| Notes | istex:51ECB5D05CE749E44EAFB72E99FF7C05FBB9692E ark:/67375/WNG-P2KKP1PT-X ArticleID:JGS1108 This paper was presented at the 2006 North American Primary Care Research Group annual meeting. SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
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| PublicationDate | April 2007 |
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| PublicationPlace | Malden, USA |
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| PublicationTitle | Journal of the American Geriatrics Society (JAGS) |
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| Publisher | Blackwell Publishing Inc Blackwell Wiley Subscription Services, Inc |
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| References | Kohn R, Epstein-Lubow G. Course and outcomes of depression in the elderly. Curr Psychiatry Rep 2006;8:34-40. Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Appl Psychol Meas 1977;1:385-401. Lim K, Taylor L. Factors associated with physical activity among older people-a population-based study. Prev Med 2005;40:33-40. Macintyre S, Ellaway A, Cummins S. Place effects on health: How can we conceptualise, operationalise and measure them? Soc Sci Med 2002;55:125-139. Silver E, Mulvey EP, Swanson JW. Neighborhood structural characteristics and mental disorder. Faris and Dunham revisited. Soc Sci Med 2002;55:1457-1470. Kubzansky LD, Subramanian SV, Kawachi I et al. Neighborhood contextual influences on depressive symptoms in the elderly. Am J Epidemiol 2005;162:253-260. Giles-Corti B, Macintyre S, Clarkson JP et al. Environmental and lifestyle factors associated with overweight and obesity in Perth, Australia. Am J Health Promot 2003;18:93-102. Johnson J, Weissman MM, Klerman GL. Service utilization and social morbidity associated with depressive symptoms in the community. JAMA 1992;267:1478-1483. Kukull WA, Higdon R, Bowen JD et al. Dementia and Alzheimer disease incidence: A prospective cohort study. Arch Neurol 2002;59:1737-1746. Frank LD, Andresen MA, Schmid TL. Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med 2004;27:87-96. Teng EL, Hasegawa K, Homma A et al. The cognitive abilities screening instrument (CASI): A practical test for cross-cultural epidemiological studies of dementia. Int Psychogeriatr 1994;6:45-58; discussion 62. Moudon AV, Lee C. Walking and bicycling: An evaluation of environmental audit instruments. Am J Health Promot 2003;18:21-37. Moudon AV, Lee C, Cheadle A et al. Attributes of environments supporting walking. Am J Health Promot, in press. Gottfries CG. Late life depression. Eur Arch Psychiatry Clin Neurosci 2001;251 (Suppl 2):II57-II61. Mobley LR, Root ED, Finkelstein EA et al. Environment, obesity, and cardiovascular disease risk in low-income women. Am J Prev Med 2006;30:327-332. Moudon AV, Lee C, Cheadle A et al. Operational definitions of walkable neighborhood: Theoretical and empirical insights. J Phys Activity Health 2006;3:S99-S117. Larson SL, Owens PL, Ford D et al. Depressive disorder, dysthymia, and risk of stroke: Thirteen-year follow-up from the Baltimore Epidemiologic Catchment Area Study. Stroke 2001;32:1979-1983. George LK, Blazer DG, Hughes DC et al. Social support and the outcome of major depression. Br J Psychiatry 1989;154:478-485. Larson EB, Wang L, Bowen JD et al. Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older. Ann Intern Med 2006;144:73-81. Hybels CF, Blazer DG, Pieper CF et al. Sociodemographic characteristics of the neighborhood and depressive symptoms in older adults: Using multilevel modeling in geriatric psychiatry. Am J Geriatr Psychiatry 2006;14:498-506. Fotheringham AS, Wong DWS. The modifiable areal unit problem in multivariate statistical analysys. Environ Plan 1991;23:1025-1044. Penninx BW, Beekman AT, Honig A et al. Depression and cardiac mortality: Results from a community-based longitudinal study. Arch Gen Psychiatry 2001;58:221-227. Krishnan KR, Delong M, Kraemer H et al. Comorbidity of depression with other medical diseases in the elderly. Biol Psychiatry 2002;52:559-588. Lee Y, Choi K, Lee YK. Association of comorbidity with depressive symptoms in community-dwelling older persons. Gerontology 2001;47:254-262. Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: A critical review. J Epidemiol Community Health 2001;55:111-122. Steffens DC, Skoog I, Norton MC et al. Prevalence of depression and its treatment in an elderly population. The Cache County Study. Arch Gen Psychiatry 2000;57:601-607. Collia DV, Sharp J, Giesbrecht L. The 2001 National Household Travel Survey: A look into the travel patterns of older Americans. J Safety Res 2003;34:461-470. Brownson RC, Baker EA, Housemann RA et al. Environmental and policy determinants of physical activity in the United States. Am J Public Health 2001;91:1995-2003. Troped PJ, Saunders RP, Pate RR et al. Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Prev Med 2001;32:191-200. Ostir GV, Eschbach K, Markides KS et al. Neighbourhood composition and depressive symptoms among older Mexican Americans. J Epidemiol Community Health 2003;57:987-992. Haringsma R, Engels GI, Beekman AT et al. The criterion validity of the Center for Epidemiological Studies Depression Scale (CES-D) in a sample of self-referred elders with depressive symptomatology. Int J Geriatr Psychiatry 2004;19:558-563. Propper C, Jones K, Bolster A et al. Local neighbourhood and mental health: Evidence from the UK. Soc Sci Med 2005;61:2065-2083. Fishman PA, Goodman MJ, Hornbrook MC et al. Risk adjustment using automated ambulatory pharmacy data. The RxRisk Model. Med Care 2003;41:84-99. Openshaw S. The Modifiable Areal Unit Problem. Concepts and Techniques in Modern Geography, 38. Norwich, UK: Geobooks, 1984. Fukukawa Y, Nakashima C, Tsuboi S et al. Age differences in the effect of physical activity on depressive symptoms. Psychol Aging 2004;19:346-351. Leyden KM. Social capital and the built environment: The importance of walkable neighborhoods. Am J Public Health 2003;93:1546-1551. Lee C, Moudon AV, Courbois JY. Built environment and behavior: Spatial sampling using parcel data. Ann Epidemiol 2006;16:387-394. Lee C, Moudon AV. Environmental correlates of walking for transportation or recreation purposes [on-line]. J Phys Activity Health 2006;3:S77-S98. Yancey AK, Wold CM, McCarthy WJ et al. Physical inactivity and overweight among Los Angeles County adults. Am J Prev Med 2004;27:146-152. Hybels CF, Pieper CF, Blazer DG. Sex differences in the relationship between subthreshold depression and mortality in a community sample of older adults. Am J Geriatr Psychiatry 2002;10:283-291. King AC. Interventions to promote physical activity by older adults. J Gerontol A Biol Sci Med Sci 2001;56 Spec No 2A:M36-M46. Blazer DG. Depression in late life: Review and commentary. J Gerontol A Biol Sci Med Sci 2003;58A:M249-M265. Yen IH, Kaplan GA. Neighborhood social environment and risk of death: Multilevel evidence from the Alameda County Study. Am J Epidemiol 1999;149:898-907. Berke EM, Koepsell TD, Moudon AV et al. Physical activity and obesity in older persons: Association with the built environment. Am J Public Health, 2007; Jan 31. Lang TA, Secic M. How to Report Statistics in Medicine. Philadelphia: American College of Physicians, 1997. 2001; 91 2002; 59 2006; 30 2002; 52 2004; 27 2006; 16 1992; 267 2006; 14 1989; 154 2002; 10 2002; 55 2003; 57 2005; 40 2006; 8 1997 2007 2006; 3 2003; 18 2005; 61 2003; 93 2001; 47 1999; 149 2001; 56 Spec No 2A 2003; 34 2005; 162 2001; 251 1991; 23 2004; 19 2000; 57 2003; 58A 1977; 1 1984 2001; 55 2001; 58 2003; 41 2006; 144 2001; 32 1994; 6 e_1_2_7_5_2 Larson SL (e_1_2_7_7_2) 2001; 32 Penninx BW (e_1_2_7_6_2) 2001; 58 Macintyre S (e_1_2_7_9_2) 2002; 55 Lee C (e_1_2_7_17_2) 2006; 16 Radloff LS. (e_1_2_7_27_2) 1977; 1 Teng EL (e_1_2_7_26_2) 1994; 6 e_1_2_7_15_2 Yen IH (e_1_2_7_16_2) 1999; 149 e_1_2_7_41_2 e_1_2_7_11_2 e_1_2_7_43_2 Fishman PA (e_1_2_7_30_2) 2003; 41 e_1_2_7_47_2 e_1_2_7_49_2 e_1_2_7_28_2 Pickett KE (e_1_2_7_45_2) 2001; 55 e_1_2_7_23_2 e_1_2_7_31_2 e_1_2_7_21_2 e_1_2_7_33_2 Moudon AV (e_1_2_7_18_2) 2006; 3 e_1_2_7_37_2 e_1_2_7_39_2 e_1_2_7_4_2 e_1_2_7_8_2 Propper C (e_1_2_7_13_2) 2005; 61 Kukull WA (e_1_2_7_25_2) 2002; 59 Johnson J (e_1_2_7_3_2) 1992; 267 e_1_2_7_40_2 e_1_2_7_12_2 e_1_2_7_42_2 e_1_2_7_10_2 e_1_2_7_44_2 e_1_2_7_48_2 Blazer DG. (e_1_2_7_2_2) 2003; 58 e_1_2_7_29_2 Lee C (e_1_2_7_35_2) 2006; 3 Moudon AV (e_1_2_7_24_2) 2003; 18 Openshaw S. (e_1_2_7_46_2) 1984 Berke EM (e_1_2_7_20_2) 2007 e_1_2_7_51_2 Leyden KM. (e_1_2_7_19_2) 2003; 93 e_1_2_7_22_2 e_1_2_7_32_2 Collia DV (e_1_2_7_50_2) 2003; 34 e_1_2_7_34_2 e_1_2_7_36_2 Hybels CF (e_1_2_7_14_2) 2006; 14 Moudon AV (e_1_2_7_38_2) |
| References_xml | – reference: Lee C, Moudon AV, Courbois JY. Built environment and behavior: Spatial sampling using parcel data. Ann Epidemiol 2006;16:387-394. – reference: Larson SL, Owens PL, Ford D et al. Depressive disorder, dysthymia, and risk of stroke: Thirteen-year follow-up from the Baltimore Epidemiologic Catchment Area Study. Stroke 2001;32:1979-1983. – reference: Lim K, Taylor L. Factors associated with physical activity among older people-a population-based study. Prev Med 2005;40:33-40. – reference: Hybels CF, Pieper CF, Blazer DG. Sex differences in the relationship between subthreshold depression and mortality in a community sample of older adults. Am J Geriatr Psychiatry 2002;10:283-291. – reference: Propper C, Jones K, Bolster A et al. Local neighbourhood and mental health: Evidence from the UK. Soc Sci Med 2005;61:2065-2083. – reference: Collia DV, Sharp J, Giesbrecht L. The 2001 National Household Travel Survey: A look into the travel patterns of older Americans. J Safety Res 2003;34:461-470. – reference: Macintyre S, Ellaway A, Cummins S. Place effects on health: How can we conceptualise, operationalise and measure them? Soc Sci Med 2002;55:125-139. – reference: Blazer DG. Depression in late life: Review and commentary. J Gerontol A Biol Sci Med Sci 2003;58A:M249-M265. – reference: Krishnan KR, Delong M, Kraemer H et al. Comorbidity of depression with other medical diseases in the elderly. Biol Psychiatry 2002;52:559-588. – reference: Penninx BW, Beekman AT, Honig A et al. Depression and cardiac mortality: Results from a community-based longitudinal study. Arch Gen Psychiatry 2001;58:221-227. – reference: Hybels CF, Blazer DG, Pieper CF et al. Sociodemographic characteristics of the neighborhood and depressive symptoms in older adults: Using multilevel modeling in geriatric psychiatry. Am J Geriatr Psychiatry 2006;14:498-506. – reference: Frank LD, Andresen MA, Schmid TL. Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med 2004;27:87-96. – reference: Kohn R, Epstein-Lubow G. Course and outcomes of depression in the elderly. Curr Psychiatry Rep 2006;8:34-40. – reference: Lee Y, Choi K, Lee YK. Association of comorbidity with depressive symptoms in community-dwelling older persons. Gerontology 2001;47:254-262. – reference: Gottfries CG. Late life depression. Eur Arch Psychiatry Clin Neurosci 2001;251 (Suppl 2):II57-II61. – reference: Openshaw S. The Modifiable Areal Unit Problem. Concepts and Techniques in Modern Geography, 38. Norwich, UK: Geobooks, 1984. – reference: Fotheringham AS, Wong DWS. The modifiable areal unit problem in multivariate statistical analysys. Environ Plan 1991;23:1025-1044. – reference: Yancey AK, Wold CM, McCarthy WJ et al. Physical inactivity and overweight among Los Angeles County adults. Am J Prev Med 2004;27:146-152. – reference: Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: A critical review. J Epidemiol Community Health 2001;55:111-122. – reference: Giles-Corti B, Macintyre S, Clarkson JP et al. Environmental and lifestyle factors associated with overweight and obesity in Perth, Australia. Am J Health Promot 2003;18:93-102. – reference: Yen IH, Kaplan GA. Neighborhood social environment and risk of death: Multilevel evidence from the Alameda County Study. Am J Epidemiol 1999;149:898-907. – reference: Johnson J, Weissman MM, Klerman GL. Service utilization and social morbidity associated with depressive symptoms in the community. JAMA 1992;267:1478-1483. – reference: Moudon AV, Lee C, Cheadle A et al. Operational definitions of walkable neighborhood: Theoretical and empirical insights. J Phys Activity Health 2006;3:S99-S117. – reference: Lang TA, Secic M. How to Report Statistics in Medicine. Philadelphia: American College of Physicians, 1997. – reference: King AC. Interventions to promote physical activity by older adults. J Gerontol A Biol Sci Med Sci 2001;56 Spec No 2A:M36-M46. – reference: George LK, Blazer DG, Hughes DC et al. Social support and the outcome of major depression. Br J Psychiatry 1989;154:478-485. – reference: Haringsma R, Engels GI, Beekman AT et al. The criterion validity of the Center for Epidemiological Studies Depression Scale (CES-D) in a sample of self-referred elders with depressive symptomatology. Int J Geriatr Psychiatry 2004;19:558-563. – reference: Ostir GV, Eschbach K, Markides KS et al. Neighbourhood composition and depressive symptoms among older Mexican Americans. J Epidemiol Community Health 2003;57:987-992. – reference: Lee C, Moudon AV. Environmental correlates of walking for transportation or recreation purposes [on-line]. J Phys Activity Health 2006;3:S77-S98. – reference: Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Appl Psychol Meas 1977;1:385-401. – reference: Teng EL, Hasegawa K, Homma A et al. The cognitive abilities screening instrument (CASI): A practical test for cross-cultural epidemiological studies of dementia. Int Psychogeriatr 1994;6:45-58; discussion 62. – reference: Berke EM, Koepsell TD, Moudon AV et al. Physical activity and obesity in older persons: Association with the built environment. Am J Public Health, 2007; Jan 31. – reference: Mobley LR, Root ED, Finkelstein EA et al. Environment, obesity, and cardiovascular disease risk in low-income women. Am J Prev Med 2006;30:327-332. – reference: Kubzansky LD, Subramanian SV, Kawachi I et al. Neighborhood contextual influences on depressive symptoms in the elderly. Am J Epidemiol 2005;162:253-260. – reference: Kukull WA, Higdon R, Bowen JD et al. Dementia and Alzheimer disease incidence: A prospective cohort study. Arch Neurol 2002;59:1737-1746. – reference: Larson EB, Wang L, Bowen JD et al. Exercise is associated with reduced risk for incident dementia among persons 65 years of age and older. Ann Intern Med 2006;144:73-81. – reference: Silver E, Mulvey EP, Swanson JW. Neighborhood structural characteristics and mental disorder. Faris and Dunham revisited. Soc Sci Med 2002;55:1457-1470. – reference: Brownson RC, Baker EA, Housemann RA et al. Environmental and policy determinants of physical activity in the United States. Am J Public Health 2001;91:1995-2003. – reference: Troped PJ, Saunders RP, Pate RR et al. Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Prev Med 2001;32:191-200. – reference: Moudon AV, Lee C. Walking and bicycling: An evaluation of environmental audit instruments. Am J Health Promot 2003;18:21-37. – reference: Moudon AV, Lee C, Cheadle A et al. Attributes of environments supporting walking. Am J Health Promot, in press. – reference: Fukukawa Y, Nakashima C, Tsuboi S et al. Age differences in the effect of physical activity on depressive symptoms. Psychol Aging 2004;19:346-351. – reference: Steffens DC, Skoog I, Norton MC et al. Prevalence of depression and its treatment in an elderly population. The Cache County Study. Arch Gen Psychiatry 2000;57:601-607. – reference: Leyden KM. Social capital and the built environment: The importance of walkable neighborhoods. Am J Public Health 2003;93:1546-1551. – reference: Fishman PA, Goodman MJ, Hornbrook MC et al. Risk adjustment using automated ambulatory pharmacy data. The RxRisk Model. Med Care 2003;41:84-99. – volume: 57 start-page: 601 year: 2000 end-page: 607 article-title: Prevalence of depression and its treatment in an elderly population. 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| Snippet | OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults.
DESIGN: Cross‐sectional analysis using data from Adult... OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross‐sectional analysis using data from Adult... To evaluate the association between neighborhood walkability and depression in older adults. Cross-sectional analysis using data from Adult Changes in Thought... OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults. DESIGN: Cross-sectional analysis using data from Adult... To evaluate the association between neighborhood walkability and depression in older adults.OBJECTIVESTo evaluate the association between neighborhood... |
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| SubjectTerms | Adult and adolescent clinical studies Aged Biological and medical sciences built environment Cross-Sectional Studies Depression Depression - diagnosis Depression - epidemiology Female General aspects Geriatrics Health Status Humans Longitudinal Studies Male Medical sciences Mental depression mental health Mood disorders Neighborhoods older people Prevention and actions Probability Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Public health. Hygiene Public health. Hygiene-occupational medicine Regression Analysis Residence Characteristics Sex Factors Social Class walkability Walking Washington - epidemiology |
| Title | Protective Association Between Neighborhood Walkability and Depression in Older Men |
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