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Police-Recorded Crime and Perceived Stress among Patients with Type 2 Diabetes: the Diabetes Study of Northern California (DISTANCE)

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Abstract

While stress has been linked to poor health outcomes, little is known about the impact of objective measures of neighborhood crime on stress in patients with chronic disease. Using the Kaiser Permanente Diabetes Study of Northern California (DISTANCE), we examined associations between police-recorded crime (2005–2007) and stress (Perceived Stress Scale-4) in four large Northern California cities (Oakland, Sacramento, San Francisco, and San Jose). We performed stratified analysis by gender and race/ethnicity using generalized linear regression models. In our study sample (n = 3188, mean age 59, range 30–77), 10 % reported high stress. In adjusted analyses, higher neighborhood all crimes rate was associated with modest increase in high stress for African-American (OR = 1.10; 95 % CI 1.02–1.22) and Latina women (OR = 1.36; 95 % CI 1.10–1.67) and property crime showed similar associations with stress for these groups of women. Visible crime was associated with stress only for Latina women (OR = 1.43; 95 % CI 1.14–1.78). We found no association between crime and stress among men or other racial/ethnic groups of women. High crime levels may disproportionately impact health among certain subpopulations. Studies using additional measures of stress are necessary to differentiate the health impact of crime-related stress from other forms of stressors among individuals living with diabetes.

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References

  1. Diez Roux AV, Mair C. Neighborhoods and health. Ann N Y Acad Sci. 2010; 1186: 125–145.

    Article  PubMed  Google Scholar 

  2. Loukaitou-Sideris A. Is it safe to walk? Neighborhood safety and security considerations and their effects on walking. J Plan Lit. 2006; 20(3): 219–232.

    Article  Google Scholar 

  3. Evenson KR, Block R, Diez Roux AV, McGinn AP, Wen F, Rodriguez DA. Associations of adult physical activity with perceived safety and police-recorded crime: the Multi-ethnic Study of Atherosclerosis. Int J BehavNutr Phys Act. 2012; 9: 146.

    Article  Google Scholar 

  4. McGinn AP, Evenson KR, Herring AH, Huston SL, Rodriguez DA. The association of perceived and objectively measured crime with physical activity: a cross-sectional analysis. J Phys Act Health. 2008; 5(1): 117–131.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Foster S, Giles-Corti B. The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings. Prev Med. 2008; 47(3): 241–251.

    Article  PubMed  Google Scholar 

  6. McDonald NC. The effect of objectively measured crime on walking in minority adults. Am J Health Promot. 2008; 22(6): 433–436.

    Article  PubMed  Google Scholar 

  7. Brown BB, Werner CM, Smith KR, Tribby CP, Miller HJ. Physical activity mediates the relationship between perceived crime safety and obesity. Prev Med. 2014; 66: 140–144.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Browning CR, Cagney KA. Neighborhood structural disadvantage, collective efficacy, and self-rated physical health in an urban setting. J Health Soc Behav. 2002; 43(4): 383–399.

    Article  PubMed  Google Scholar 

  9. American Diabetes Association. Standards of medical care in diabetes—2014. Diabetes Care. 2014; 37(Suppl 1): S14–80.

    Article  Google Scholar 

  10. Centers for Disease Control and Prevention. National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. Atlanta, GA: U.S. Department of Health and Human Services; 2014.

    Google Scholar 

  11. Marcovecchio ML, Chiarelli F. The effects of acute and chronic stress on diabetes control. Sci Signal. 2012; 5(247): t10.

    Article  Google Scholar 

  12. Wiesli P, Schmid C, Kerwer O, et al. Acute psychological stress affects glucose concentrations in patients with type 1 diabetes following food intake but not in the fasting state. Diabetes Care. 2005; 28(8): 1910–1915.

    Article  PubMed  Google Scholar 

  13. Kyrou I, Tsigos C. Stress hormones: physiological stress and regulation of metabolism. Curr Opin Pharmacol. 2009; 9(6): 787–793.

    Article  CAS  PubMed  Google Scholar 

  14. Faulenbach M, Uthoff H, Schwegler K, Spinas GA, Schmid C, Wiesli P. Effect of psychological stress on glucose control in patients with type 2 diabetes. Diabet Med. 2012; 29(1): 128–131.

    Article  CAS  PubMed  Google Scholar 

  15. Leal C, Chaix B. The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda. Obes Rev. 2011; 12(3): 217–230.

    Article  CAS  PubMed  Google Scholar 

  16. Gary TL, Safford MM, Gerzoff RB, et al. Perception of neighborhood problems, health behaviors, and diabetes outcomes among adults with diabetes in managed care: the Translating Research Into Action for Diabetes (TRIAD) study. Diabetes Care. 2008; 31(2): 273–278.

    Article  PubMed  Google Scholar 

  17. Moreno G, Morales LS, Nunez de Jaimes F, et al. Neighborhood perceptions and health-related outcomes among Latinos with diabetes from a rural agricultural community. J Community Health. 2014; 39(6): 1077–1084.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Moffet HH, Adler N, Schillinger D, et al. Cohort profile: the Diabetes Study of Northern California (DISTANCE)—objectives and design of a survey follow-up study of social health disparities in a managed care population. Int J Epidemiol. 2009; 38(1): 38–47.

    Article  PubMed  Google Scholar 

  19. Karter AJ, Schillinger D, Adams AS, et al. Elevated rates of diabetes in Pacific Islanders and Asian subgroups: the Diabetes Study of Northern California (DISTANCE). Diabetes Care. 2013; 36(3): 574–579.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Burdette HL, Whitaker RC. Neighborhood playgrounds, fast food restaurants, and crime: relationships to overweight in low-income preschool children. Prev Med. 2004; 38(1): 57–63.

    Article  PubMed  Google Scholar 

  21. U.S. Department of Justice Federal Bureau of Investigation. Uniform crime reporting handbook, revised 2004. 2004.

    Google Scholar 

  22. ESRI. ArcGIS API v. 2.1.22 [computer program]. Redlands, CA: Environmental Systems Research Institute. 2010.

  23. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983; 24(4): 385–396.

    Article  CAS  PubMed  Google Scholar 

  24. Warttig SL, Forshaw MJ, South J, White AK. New, normative, English-sample data for the Short Form Perceived Stress Scale (PSS-4). J Health Psychol. 2013; 18(12): 1617–1628.

    Article  PubMed  Google Scholar 

  25. Messer LC, Oakes JM, Mason S. Effects of socioeconomic and racial residential segregation on preterm birth: a cautionary tale of structural confounding. Am J Epidemiol. 2010; 171(6): 664–673.

    Article  PubMed  Google Scholar 

  26. Chaix B, Leal C, Evans D. Neighborhood-level confounding in epidemiologic studies: unavoidable challenges, uncertain solutions. Epidemiology. 2010; 21(1): 124–127.

    Article  PubMed  Google Scholar 

  27. Messer LC, Laraia BA, Kaufman JS, et al. The development of a standardized neighborhood deprivation index. J Urban Health. 2006; 83(6): 1041–1062.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Laraia BA, Karter AJ, Warton EM, Schillinger D, Moffet HH, Adler N. Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE). Soc Sci Med. 2012; 74(7): 1082–1090.

    Article  PubMed  PubMed Central  Google Scholar 

  29. McCullagh P, Nelder JA. Generalised Linear Models. New York, NY: Chapman and Hall London; 1983.

  30. Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004; 159(7): 702–706.

    Article  PubMed  Google Scholar 

  31. Yelland LN, Salter AB, Ryan P. Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data. Am J Epidemiol. 2011; 174(8): 984–992.

    Article  PubMed  Google Scholar 

  32. StataCorp. Stata Statistical Software: Release 13 [computer program]. College Station, TX: Statacorp LP. 2013.

  33. Lu M, Lyden PD, Brott TG, Hamilton S, Broderick JP, Grotta JC. Beyond subgroup analysis: improving the clinical interpretation of treatment effects in stroke research. J Neurosci Methods. 2005; 143(2): 209–216.

    Article  PubMed  Google Scholar 

  34. Boslaugh SE, Luke DA, Brownson RC, Naleid KS, Kreuter MW. Perceptions of neighborhood environment for physical activity: is it “who you are” or “where you live”? J Urban Health. 2004; 81(4): 671–681.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Lovasi GS, Hutson MA, Guerra M, Neckerman KM. Built environments and obesity in disadvantaged populations. Epidemiol Rev. 2009; 31(1): 7–20.

    Article  PubMed  Google Scholar 

  36. Roosa MW, White RM, Zeiders KH, Tein JY. An examination of the role of perceptions in neighborhood research. J Community Psychol. 2009; 37(3): 327–341.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Kamphuis CB, Mackenbach JP, Giskes K, Huisman M, Brug J, van Lenthe FJ. Why do poor people perceive poor neighbourhoods? The role of objective neighbourhood features and psychosocial factors. Health Place. 2010; 16(4): 744–754.

    Article  PubMed  Google Scholar 

  38. Pham do Q, Ommerborn MJ, Hickson DA, Taylor HA, Clark CR. Neighborhood safety and adipose tissue distribution in African Americans: the Jackson Heart Study. Plos One. 2014; 9(8): e105251.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Lovasi GS, Goh CE, Pearson AL, Breetzke G. The independent associations of recorded crime and perceived safety with physical health in a nationally representative cross-sectional survey of men and women in New Zealand. BMJ Open. 2014; 4(3): e004058.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Piro FN, Noess O, Claussen B. Physical activity among elderly people in a city population: the influence of neighbourhood level violence and self perceived safety. J Epidemiol Commun H. 2006; 60(7): 626–632.

    Article  Google Scholar 

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Acknowledgments

This study was supported by grants from the National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK065664-01-A1 and R01 DK080744). Dr. Mujahid is supported by the National Heart Lung and Blood Institute of the National Institutes of Health (K01 HL115494).

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Correspondence to Mahasin S. Mujahid.

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Tamayo, A., Mujahid, M.S., Laraia, B. et al. Police-Recorded Crime and Perceived Stress among Patients with Type 2 Diabetes: the Diabetes Study of Northern California (DISTANCE). J Urban Health 93, 745–757 (2016). https://doi.org/10.1007/s11524-016-0069-2

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  • DOI: https://doi.org/10.1007/s11524-016-0069-2

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