1. Centers for Disease Control and Prevention. 2016 Sexually Transmitted Diseases Surveillance 2017. Available from: https://www.cdc.gov/std/stats16/womenandinf.htm.
2. Centers for Disease Control and Prevention. 10 ways STDs impact women differently from men. CDC fact sheet. 2011.
3. Haggerty CL, Gottlieb SL, Taylor BD, Low N, Xu F, Ness RB. Risk of sequelae after Chlamydia trachomatis genital infection in women. The Journal of infectious diseases. 2010;201(Supplement_2):S134–S55.
4. Centers for Disease Control and Prevention. Reported STDs in the United States, 2016. High Burden of STDs Threaten Millions of Americans 2017. Available from: https://www.cdc.gov/nchhstp/newsroom/docs/factsheets/std-trends-508.pdf.
5. Hogben M, Leichliter JS. Social determinants and sexually transmitted disease disparities. Sex Transm Dis. 2008;35(12 Suppl):S13–8. doi: 10.1097/OLQ.0b013e31818d3cad 18936725.
6. Leichliter JS, Seiler N, Wohlfeiler D. STD Prevention Policies in the United States: Evidence and Opportunities. Sexually transmitted diseases. 2016;43(2 Suppl 1):S113–S21. doi: 10.1097/OLQ.0000000000000289 PMC5283689. 26779683
7. Adimora AA, Schoenbach VJ. Contextual factors and the black-white disparity in heterosexual HIV transmission. Epidemiology. 2002;13(6):707–12. doi: 10.1097/00001648-200211000-00016 12410013
8. Holtgrave DR, Crosby RA. Social capital, poverty, and income inequality as predictors of gonorrhoea, syphilis, chlamydia and AIDS case rates in the United States. Sex Transm Infect. 2003;79(1):62–4. doi: 10.1136/sti.79.1.62 12576618
9. Friedman SR, Tempalski B, Brady JE, West BS, Pouget ER, Williams LD, et al. Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research. International Journal of Drug Policy. 2016;32:11–6. doi: 10.1016/j.drugpo.2016.03.003 27198555
10. Kilmarx PH, Zaidi AA, Thomas JC, Nakashima AK, St Louis ME, Flock ML, et al. Sociodemographic factors and the variation in syphilis rates among US counties, 1984 through 1993: an ecological analysis. American Journal of Public Health. 1997;87(12):1937–43. doi: 10.2105/ajph.87.12.1937 9431280
11. Thomas JC, Thomas KK. Things ain't what they ought to be: social forces underlying racial disparities in rates of sexually transmitted diseases in a rural North Carolina county. Soc Sci Med. 1999;49(8):1075–84. doi: 10.1016/s0277-9536(99)00197-5 10475671
12. Marshall BDL, Kerr T, Shoveller JA, Patterson TL, Buxton JA, Wood E. Homelessness and Unstable Housing Associated with an Increased Risk of HIV and STI Transmission among Street-Involved Youth. Health & place. 2009;15(3):753–60. doi: 10.1016/j.healthplace.2008.12.005 PMC2673329. 19201642
13. Weir BW, Bard RS, O’Brien K, Casciato CJ, Stark MJ. Uncovering Patterns of HIV Risk Through Multiple Housing Measures. AIDS and Behavior. 2007;11(2):31–44. doi: 10.1007/s10461-007-9284-x 17828588
14. Adimora AA, Schoenbach VJ. Social determinants of sexual networks, partnership formation, and sexually transmitted infections. The new public health and STD/HIV prevention: Springer; 2013. p. 13–31.
15. German D, Latkin CA. Social stability and HIV risk behavior: evaluating the role of accumulated vulnerability. AIDS and Behavior. 2012;16(1):168–78. doi: 10.1007/s10461-011-9882-5 21259043
16. Wingood GM, DiClemente RJ. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Health education & behavior. 2000;27(5):539–65.
17. Ford JL, Browning CR. Neighborhood social disorganization and the acquisition of trichomoniasis among young adults in the United States. American journal of public health. 2011;101(9):1696–703. Epub 2011/07/21. doi: 10.2105/AJPH.2011.300213 21778488.
18. Misra J, Moller S, Budig MJ. Work—family policies and poverty for partnered and single women in Europe and North America. Gender & Society. 2007;21(6):804–27.
19. Moller S, Huber E, Stephens JD, Bradley D, Nielsen F. Determinants of relative poverty in advanced capitalist democracies. American Sociological Review. 2003:22–51.
20. Rupasingha A, Goetz SJ. Social and political forces as determinants of poverty: A spatial analysis. The Journal of Socio-Economics. 2007;36(4):650–71. https://doi.org/10.1016/j.socec.2006.12.021.
21. Osypuk TL, Joshi P, Geronimo K, Acevedo-Garcia D. Do Social and Economic Policies Influence Health? A Review. Current epidemiology reports. 2014;1(3):149–64. doi: 10.1007/s40471-014-0013-5 PMC4429302. 25984439
22. American Public Health Association. Improving health by increasing the minimum wage. 2016.
23. Congressional Budget Office. The Effects of Minimum-Wage Increase on Employment and Family Income. 2014.
24. Cooper D. Raising the federal minimum wage to $10.10 would lift wages for millions and provide a modest economic boost. Washington: Economic Policy Institute. 2013.
25. Komro KA, Livingston MD, Markowitz S, Wagenaar AC. The effect of an increased minimum wage on infant mortality and birth weight. American journal of public health. 2016;106(8):1514–6. doi: 10.2105/AJPH.2016.303268 27310355
26. Lenhart O. The impact of minimum wages on population health: evidence from 24 OECD countries. The European Journal of Health Economics. 2017;18(8):1031–9. doi: 10.1007/s10198-016-0847-5 27844176
27. Tsao T-Y, Konty KJ, Van Wye G, Barbot O, Hadler JL, Linos N, et al. Estimating potential reductions in premature mortality in New York City from raising the minimum wage to $15. American journal of public health. 2016;106(6):1036–41. doi: 10.2105/AJPH.2016.303188 27077350
28. Buot ML, Docena JP, Ratemo BK, Bittner MJ, Burlew JT, Nuritdinov AR, et al. Beyond race and place: distal sociological determinants of HIV disparities. PLoS One. 2014;9(4):e91711. doi: 10.1371/journal.pone.0091711 24743728; PubMed Central PMCID: PMC3990614.
29. Office of Management and Budget. Standards for defining metropolitan and micropolitan statistical areas. 2000.
30. Friedman SR, Perlis T, Des Jarlais DC. Laws prohibiting over-the-counter syringe sales to injection drug users: relations to population density, HIV prevalence, and HIV incidence. American Journal of Public Health. 2001;91(5):791. doi: 10.2105/ajph.91.5.791 11344889
31. Miller WC, Ford CA, Morris M, et al. Prevalence of chlamydial and gonococcal infections among young adults in the united states. JAMA. 2004;291(18):2229–36. doi: 10.1001/jama.291.18.2229 15138245
32. Pugsley RA, Chapman DA, Kennedy MG, Liu H, Lapane KL. Residential segregation and gonorrhea rates in US metropolitan statistical areas, 2005–2009. Sex Transm Dis. 2013;40(6):439–43. doi: 10.1097/OLQ.0b013e31828c6416 23677016.
33. Biello KB, Kershaw T, Nelson R, Hogben M, Ickovics J, Niccolai L. Racial residential segregation and rates of gonorrhea in the United States, 2003–2007. American Journal of Public Health. 2012;102(7):1370–7. doi: 10.2105/AJPH.2011.300516 WOS:000306150800023. 22594733
34. Pouget ER. Social determinants of adult sex ratios and racial/ethnic disparities in transmission of HIV and other sexually transmitted infections in the USA. Phil Trans R Soc B. 2017;372(1729):20160323. doi: 10.1098/rstb.2016.0323 28760764
35. Thomas JC, Gaffield ME. Social structure, race, and gonorrhea rates in the southeastern United States. Ethnicity and Disease. 2003;13(3):362–8. 12894961
36. Ibragimov U, Beane S, Adimora AA, Friedman SR, Williams L, Tempalski B, et al. Relationship of Racial Residential Segregation to Newly Diagnosed Cases of HIV among Black Heterosexuals in US Metropolitan Areas, 2008–2015. Journal of Urban Health. 2018:1–12.
37. Strully KW, Rehkopf DH, Xuan Z. Effects of Prenatal Poverty on Infant Health: State Earned Income Tax Credits and Birth Weight. American sociological review. 2010;75(4):534–62. doi: 10.1177/0003122410374086 21643514.
38. Kreider B, Pepper JV, Gundersen C, Jolliffe D. Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported. Journal of the American Statistical Association. 2012;107(499):958–75. doi: 10.1080/01621459.2012.682828
39. Friedman SR, West BS, Tempalski B, Morton CM, Cleland CM, Des Jarlais DC, et al. Do metropolitan HIV epidemic histories and programs for people who inject drugs and men who have sex with men predict AIDS incidence and mortality among heterosexuals? Annals of epidemiology. 2014;24(4):304–11. doi: 10.1016/j.annepidem.2014.01.008 24529517
40. Loza O, Patterson TL, Rusch M, Martínez GA, Lozada R, Staines‐Orozco H, et al. Drug‐related behaviors independently associated with syphilis infection among female sex workers in two Mexico–US border cities. Addiction. 2010;105(8):1448–56. doi: 10.1111/j.1360-0443.2010.02985.x 20456292
41. Geisler WM, Chyu L, Kusunoki Y, Upchurch DM, Hook EW III. Health insurance coverage, health care-seeking behaviors, and genital chlamydial infection prevalence in sexually active young adults. Sexually transmitted diseases. 2006;33(6):389–96. doi: 10.1097/01.olq.0000194584.80513.4a 16505745
42. Chen J, Vargas‐Bustamante A, Mortensen K, Thomas SB. Using quantile regression to examine health care expenditures during the great recession. Health services research. 2014;49(2):705–30. doi: 10.1111/1475-6773.12113 24134797
43. Pines HA, Rusch ML, Vera A, Rangel G, Magis-Rodriguez C, Strathdee SA. Incident syphilis infection among people who inject drugs in Tijuana, Mexico. International Journal of STD & AIDS. 2015;26(14):1022–7. doi: 10.1177/0956462414568394 25614523.
44. Volscho TW. Minimum Wages and Income Inequality in the American States, 1960–2000. Research in Social Stratification and Mobility. 2005;23:343–68. https://doi.org/10.1016/S0276-5624(05)23011-1.
45. The Seattle Minimum Wage Study Team. Report on the impact of Seattle’s minimum wage ordinance on wages, workers, jobs, and establishments through 2015. Seattle: University of Washington, 2016.
46. Su L. The heterogeneous effects of the minimum wage on employment across states. Singapore Management University, 2018.
47. Crofton SO, Anderson WL, Rawe EC. Do Higher Real Minimum Wages Lead to More High School Dropouts? Evidence from Maryland across Races, 1993–2004. The American Journal of Economics and Sociology. 2009;68(2):445–64.
48. Thomas JC, Torrone E. Incarceration as forced migration: effects on selected community health outcomes. American journal of public health. 2008;98(Supplement_1):S181–S4.
49. Executive Office of the President of the United States. Economic perspectives on incarcertation and the criminal justice system. 2016.
50. National Low Income Housing Coalition. Out of reach: the high cost of housing. 2018.
51. Raudenbush SW, Bryk AS. Hierarchical linear models: Applications and data analysis methods: Sage; 2002.
52. Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN, et al. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. European Journal of Epidemiology. 2016;31(4):337–50. doi: 10.1007/s10654-016-0149-3 27209009
53. Figueiredo Filho DB, Paranhos R, Rocha ECd, Batista M, Silva JAd Jr, Santos MLWD, et al. When is statistical significance not significant? Brazilian Political Science Review. 2013;7(1):31–55.
54. Cooper HLF, West B, Linton S, Hunter-Jones J, Zlotorzynska M, Stall R, et al. Contextual Predictors of Injection Drug Use Among Black Adolescents and Adults in US Metropolitan Areas, 1993–2007. American Journal of Public Health. 2016;106(3):517–26. doi: 10.2105/AJPH.2015.302911 PMC4815709. 26691126
55. Guo G, Cai T, editors. Proportion of level-2 units having a single observation in multilevel modeling: linear and binary outcomes. annual meeting of the American Sociological Association, New York City, NY; 2007.
56. Singer JD, Willett JB. Applied longitudinal data analysis: Modeling change and event occurrence: Oxford university press; 2003.
57. Lee PH. Is a Cutoff of 10% Appropriate for the Change-in-Estimate Criterion of Confounder Identification? Journal of Epidemiology. 2014;24(2):161–7. doi: 10.2188/jea.JE20130062 PMC3983286. 24317343
58. Zack M, Singleton J, Wall K, Delaney K. Collinearity diagnostics using the information matrix. SAS macro2010.
59. SAS Institute I. SAS/STAT(R) 9.2 User's Guide. Collinearity Diagnostics 2010. Available from: https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_reg_sect038.htm.
60. Yang J. Interpreting coefficients in regression with log-transformed variables. Cornell University: Ithaca, NY, USA. 2012.
61. Van der Meer T, Te Grotenhuis M, Pelzer B. Influential cases in multilevel modeling: A methodological comment. American Sociological Review. 2010;75(1):173–8.
62. Cook RD. Influential observations in linear regression. Journal of the American Statistical Association. 1979;74(365):169–74.
63. Cooper HLF, Linton S, Kelley ME, Ross Z, Wolfe ME, Chen Y-T, et al. Risk Environments, Race/Ethnicity, and HIV Status in a Large Sample of People Who Inject Drugs in the United States. PLOS ONE. 2016;11(3):e0150410. doi: 10.1371/journal.pone.0150410 26974165
64. Jardim E, Long MC, Plotnick R, Van Inwegen E, Vigdor J, Wething H. Minimum wage increases, wages, and low-wage employment: Evidence from Seattle. National Bureau of Economic Research, 2017.
65. Meer J, West J. Effects of the minimum wage on employment dynamics. Journal of Human Resources. 2015.
66. Sharpe TT, Voûte C, Rose MA, Cleveland J, Dean HD, Fenton K. Social determinants of HIV/AIDS and sexually transmitted diseases among black women: implications for health equity. Journal of Women's Health. 2012;21(3):249–54. doi: 10.1089/jwh.2011.3350 22196231
67. Dunkle KL, Wingood GM, Camp CM, DiClemente RJ. Economically motivated relationships and transactional sex among unmarried African American and white women: results from a US national telephone survey. Public Health Reports. 2010;125(4_suppl):90–100.
68. US Bureau of Labor Statistics. Characteristics of Minimum Wage Workers: 2012 2013.
69. Centers for Disease Control and Prevention. 2017 Sexually Transmitted Diseases Surveillance. STDs in racial and ethnic minorities. 2018.
70. Chesson HW, Sternberg M, Leichliter JS, Aral SO. The distribution of chlamydia, gonorrhoea and syphilis cases across states and counties in the USA, 2007. Sex Transm Infect. 2010;86(Suppl 3):iii52–iii7. doi: 10.1136/sti.2009.040873 21098057
71. Hernán MA, Brumback BA, Robins JM. Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Statistics in medicine. 2002;21(12):1689–709. doi: 10.1002/sim.1144 12111906
72. Centers for Disease Control and Prevention. Sexually Transmitted Disease Surveillance 2005. 2006.