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RUM yRϡCOOUkrv׏/ ӥ|@w[^!ň8rԽ͡E+׸zTRp{L>CS {Oa/ls<'N6sK>kA& hv.%J#g)b< CuXFkBAd\qs{x{sˇNY\~a"v0eq?W a꩎/Ղh=ϟVC5>U'8OK@peKգөjdS2}ء\c]/̟X{ߋK/vhy/'L-ˉ~ޝ{rT?~JbLHqXs~$}nhz:$ ØRB9S r:XP$Ҁzw: ؿ <0}@$'"β-a.,ۏn>s_l[swqO==KwO?a1>!|i6Pԁ~}` k%}0.2̓ŰMNuhvF>QϨIغx,vʼ*Oy ..hbKajI ,_ҮOzI9`Y?H]omۆyl9i=۬ΰ.*9Q\&}}: 6$+:>oR~FgPzBbkY{+,yʺ5W 8 kW)bk§`_'֋X0̋; to+z$ϣS@Ft@h*ҏa|"GP o,ׅ&@'26t =#ꚠ~'RRQ(NX(Ƕy_knosF3'R2zYnc꣎04 聱~ձnz @oY+YN p=J3ۘ5-R~&—BS!Kumwɼy ; fyuytP}ZVP;:IB?b߮a}eE~` !Cw_oqm W94^C;b_?B9< >?U"<3+9Uzx'fG?4_UiMW-{G7Hy/TzZNβߟPgPi+dL 3"ڃ|M۫!ne곸!t9VL)31Nȣ<)vi Ҧ?[S!{j8$>1cwܜ <C;CD?]ɢmG/أ/8{NQCnf [^yB9s)ue'^^ Y>95~繒mZv˰F蕸W H7(hAiZ@ :ݜ8R,xX|#xB*h PXR?$ЇEh>̣?ȱG\^2t@b%J ~N2tt4_{o9u]AZT v,(XQkyk:p'>+ƃ~ :d.'ҤĴ֮ttmaR#1:[Tc@۷SEu"j<`&vX'(tv833i RoBElӇ ij0֓W+ò(y:g󵇠M{Q.1ߥG 2 hȕd ZWӏu'>gya z +S Y6!u—N|y8u!%mC;8MR-oδX][aY B2 ?u11)V4V}[oucd 10%S5 [y?-LSUrpO!;ٶO}rlAj?g0+](&]OqkxCn\M^}{Ρq=9sv9xhm-.Ou/3{ܭ;_6f- L|{]TـC\KD H T48J%RFPE"{{L6mܴR9i?4RS|hʧfPT*ֿyy;3;;Ogi &Υ`pT:!Joe屒o\U֑EuʧJͭ-Wǃ a+`ȰA>{ 7XQ10EEiU4WZe ] *Md Ty6a&8~c ˊ4lܛ+}!.7e翶=O/1=mkRJ#.?K/IRee5qSՌKF|bN0ÄW)ԭojY-03>+lOa+`((6 &-LJCd.`́%`b+I+$`}{lFt&ǧe`vUM- /?waGQJ;!v78_9^f)&n0&FItFqGt -be2x"n̮FٯIVw7ҿޖWҿ_`oNRuZ߅ RGWR lka@a0ly̒@OyU%QnuaO"' f0ƅW c|1u0 ' c>Hcp0F"2;DTO))))cA~vvb.YNnP*PUjR4R{'SۤF-jmX Zo=n5S{oRHm1jwP[ ܧ7K=xYV { 9"[Dz'^ԙwďlj # 6G' X6`K/9V911hڬ֐2CO) Fh_a H 7 eZ?e'5vW7{ݻxu,O?$vN Fh[ހ>t|gM_Z!6}B)~S;*\5nFimsAJϢp姅z,zE c _F;ȭ"Im?驶s&LNLv&Fyo}D.x`}-*5ԕ#j~է2ʕE$⇑Rq +b5Uy8_Qr,7MsεC$wPw7Z4u9H;\9P$̜F~ d2%2Թ'+?M(m8R{P ͍'pOfbFּi~ nM;s{_oM+9{4~L;J"G䕞L+}RGtz:l;R⿴]xK.XMM;ɎiIQjMjbbRhYhM$I }hRGd}IWUrI5_\/BcѴiRwPv4fG#͎}P'DAwc#u ьs('Rhf eChBKⁱkKC:mc&RNr+!Jz^9[??taאKvn {t F̂H4Qڐڐ%> endobj 1 0 obj <> endobj 4 0 obj <>stream application/pdf Racial Inequities in Self-Rated Health Across Brazilian Cities: Does Residential Segregation Play a Role? Guimarães Joanna M. N.Yamada GoroBarber SharrelleCaiaffa Waleska TeixeiraFriche Amélia Augusta de LimaMenezes Mariana Carvalho deSantos GervasioSantos IsabelCardoso Leticia de Oliveira ,Diez Roux Ana V. AcademicSubjects/MED00860, DOI: 10.1093/aje/kwac001, American Journal of Epidemiology, 00, 00, 22 1 2001. Abstract: Racial health inequities may be partially explained by area-level factors such as residential segregation. In this cross-sectional study, using a large, multiracial, representative sample of Brazilian adults (n = 37,009 individuals in the 27 state capitals; National Health Survey (Pesquisa Nacional de Saúde), 2013), we investigated 1) whether individual-level self-rated health (SRH) (fair or poor vs. good or better) varies by race (self-declared White, Brown, or Black) and 2) whether city-level economic or racial residential segregation (using dissimilarity index values in tertiles: low, medium, and high) interacts with race, increasing racial inequities in SRH. Prevalence of fair or poor SRH was 31.5% (Black, Brown, and White people: 36.4%, 34.0%, and 27.3%, respectively). Marginal standardization based on multilevel logistic regression models, adjusted for age, gender, and education, showed that Black and Brown people had, respectively, 20% and 10% higher prevalence of fair or poor SRH than did White people. Furthermore, residential segregation interacted with race such that the more segregated a city, the greater the racial gap among Black, Brown, and White people in fair or poor SRH for both income and race segregation. Policies to reduce racial inequities may need to address residential segregation and its consequences for health. Brazilinteraction analysisracial health inequitiesresidential segregationself-rated health © The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. 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0000353914 00000 n 0000354122 00000 n 0000354211 00000 n 0000354303 00000 n 0000354406 00000 n trailer <]/Root 1639 0 R>> startxref 356274 %%EOF