| Literature DB >> 29868381 |
Claudia M Lora1, Ana C Ricardo1, Jinsong Chen1, Jianwen Cai2, Michael Flessner3, Ashley Moncrieft4, Carmen Peralta5, Leopoldo Raij4, Sylvia E Rosas6, Gregory A Talavera7, Martha L Daviglus1, James P Lash1.
Abstract
Hispanics/Latinos are burdened by chronic kidney disease (CKD). The role of acculturation in this population has not been explored. We studied the association of acculturation with CKD and cardiovascular risk factor control. We performed cross-sectional analyses of 13,164 U.S. Hispanics/Latinos enrolled in the HCHS/SOL Study between 2008 and 2011. Acculturation was measured using the language and ethnic social relations subscales of the Short Acculturation Scale for Hispanics, and proxies of acculturation (language preference, place of birth and duration of residence in U.S.). CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 or urine albumin-to-creatinine ratio ≥ 30 mg/g. On multivariable analyses stratified by age, lower language subscale score was associated with higher odds of CKD among those older than 65 (OR 1.29, 95% CI, 1.03, 1.63). No significant association was found between proxies of acculturation and CKD in this age strata. Among individuals aged 18-44, a lower language subscale score was associated with lower eGFR (β = -0.77 ml/min/1.73 m2, 95% CI -1.43, -0.10 per 1 SD increase) and a similar pattern was observed for ethnic social relations. Among those older than 65, lower language subscale score was associated with higher log-albuminuria (β = 0.12, 95% CI 0.03, 0.22). Among individuals with CKD, acculturation measures were not associated with control of cardiovascular risk factors. In conclusion, lower language acculturation was associated with a higher prevalence of CKD in individuals older than 65. These findings suggest that older individuals with lower language acculturation represent a high risk group for CKD.Entities:
Keywords: Acculturation; Cardiovascular risk factors; Chronic kidney disease; Hispanics; Latinos
Year: 2018 PMID: 29868381 PMCID: PMC5984224 DOI: 10.1016/j.pmedr.2018.04.001
Source DB: PubMed Journal: Prev Med Rep ISSN: 2211-3355
HCHS/SOL Target population characteristics by acculturation subscales and proxies of acculturation at baseline visits completed between 2008 and 2011.
| Variable | SASH subscale, Mean (se) | Proxies of acculturation, % | ||||||
|---|---|---|---|---|---|---|---|---|
| Language preference | Place of birth | Duration of residence | ||||||
| Language | Social relations | English | Spanish | US-born | Non US-born | ≥10 yrs. in US | <10 yrs. in US | |
| Number of participants | 13,164 | 13,164 | 2521 | 10,643 | 2174 | 10,990 | 8078 | 2912 |
| Age | ||||||||
| 18–44 | 2.2 (0.03) | 2.3 (0.01) | 74.5 | 54.4† | 82.0 | 52.9† | 43.8 | 70.8† |
| 45–64 | 1.8 (0.03) | 2.2 (0.02) | 22.6 | 35.8† | 16.9 | 37.0† | 43.9 | 23.5† |
| >65 | 1.5 (0.04) | 2.1 (0.03) | 2.9 | 9.8† | 1.1 | 10.1† | 12.3 | 5.7† |
| Sex, Male | 2.1 (0.03) | 2.3 (0.02) | 51.0 | 48.3 | 52.0 | 48.1† | 47.7 | 48.9† |
| Female | 1.9 (0.03) | 2.2 (0.01) | 49.0 | 51.7 | 48.0 | 51.9† | 52.3 | 51.1† |
| Background | ||||||||
| Mexican | 2.0 (0.03) | 2.2 (0.01) | 38.7 | 41.9 | 46.3 | 39.7† | 41.3 | 36.5† |
| Cuban | 1.5 (0.03) | 2.0 (0.02) | 6.1 | 24.1† | 6.6 | 23.5† | 18.4 | 33.4† |
| Puerto Rican | 3.0 (0.05) | 2.5 (0.02) | 40.0 | 9.2† | 37.0 | 10.9† | 14.4 | 4.0† |
| Dominican | 1.9 (0.06) | 2.3 (0.02) | 9.1 | 10.2 | 6.5 | 10.9† | 12.0 | 8.6† |
| Central American | 1.6 (0.04) | 2.1 (0.03) | 3.8 | 8.6† | 2.3 | 8.9† | 8.5 | 9.7† |
| South American | 1.6 (0.04) | 2.3 (0.03) | 2.3 | 6.0† | 1.3 | 6.2† | 5.4 | 7.8† |
| Education | ||||||||
| <high school diploma | 1.7 (0.03) | 2.1 (0.02) | 19.8 | 34.9† | 20.6 | 34.3† | 38.9 | 25.2† |
| ≥high school | 2.1 (0.03) | 2.3 (0.01) | 80.2 | 65.1† | 79.5 | 65.7† | 61.1 | 74.8† |
| Income | ||||||||
| ≤ $20,000 | 1.8 (0.03) | 2.2 (0.01) | 35.3 | 50.2† | 33.7 | 50.2† | 47.7 | 55.1† |
| >$20,000 | 2.2 (0.03) | 2.3 (0.01) | 64.7 | 49.8† | 66.3 | 49.8† | 52.3 | 44.9† |
| Insured | 2.3 (0.03) | 2.3 (0.01) | 68.0 | 44.8† | 65.3 | 46.2† | 53.6 | 31.8† |
| Uninsured | 1.7 (0.03) | 2.2 (0.01) | 32.0 | 55.2† | 34.7 | 53.8† | 46.4 | 68.2† |
| Current smoker | ||||||||
| Yes | 2.2 (0.05) | 2.3 (0.02) | 28.4 | 18.7† | 28.2 | 19.0† | 19.2 | 18.8† |
| No | 1.9 (0.02) | 2.2 (0.01) | 71.6 | 81.3† | 71.8 | 81.0† | 80.8 | 81.2† |
| Diabetes | ||||||||
| Yes | 1.7 (0.03) | 2.2 (0.02) | 9.9 | 15.8† | 7.9 | 16.2† | 19.9 | 9.0† |
| No | 2.0 (0.03) | 2.3 (0.01) | 90.1 | 84.2† | 92.1 | 83.8† | 80.2 | 91.0† |
| Hypertension | ||||||||
| Yes | 1.8 (0.03) | 2.2 (0.02) | 15.8 | 24.1† | 12.6 | 24.7† | 28.7 | 16.9† |
| No | 2.1 (0.03) | 2.3(0.01) | 84.2 | 76.0† | 87.5 | 75.3† | 71.3 | 83.1† |
| Cardiovascular disease | ||||||||
| Yes | 1.9 (0.06) | 2.19 (0.03) | 5.5 | 6.1 | 4.1 | 6.5† | 7.9 | 3.9† |
| No | 2.0 (0.03) | 2.23 (0.01) | 94.5 | 93.9 | 96.0 | 93.5† | 92.1 | 96.2† |
| Body mass index | ||||||||
| ≥30 kg/m2 | 2.1 (0.04) | 2.24 (0.02) | 45.6 | 38.8† | 44.4 | 39.3† | 43.0 | 31.9† |
| <30 kg/m2 | 2.0 (0.03) | 2.23 (0.01) | 54.4 | 61.3† | 55.7 | 60.7† | 57.0 | 68.1† |
| CKD | ||||||||
| Yes | 1.9 (0.04) | 2.19 (0.02) | 9.4 | 11.2† | 8.8 | 11.4† | 13.0 | 8.2† |
| No | 2.0 (0.03) | 2.24 (0.01) | 90.6 | 88.8† | 91.2 | 88.7† | 87.0 | 91.8† |
| eGFR | ||||||||
| ≥90 ml/min/1.73m2 | 2.0 (0.03) | 2.3 (0.01) | 84.3 | 80.4† | 87.0 | 79.8† | 76.4 | 86.5† |
| 60–89 ml/min/1.73 m2 | 1.9 (0.04) | 2.2 (0.02) | 13.8 | 17.1† | 11.7 | 17.6† | 20.5 | 12.0† |
| <60 ml/min/1.73 m2 | 1.8 (0.07) | 2.2 (0.05) | 1.9 | 2.5 | 1.4 | 2.6† | 3.2 | 1.5† |
| UACR ≥30 mg/g | 1.9 (0.05) | 2.19 (0.02) | 8.4 | 9.8 | 8.1 | 9.8 | 11.1 | 7.3 |
| UACR <30 mg/g | 2.0 (0.03) | 2.24 (0.01) | 91.6 | 90.2 | 91.9 | 90.2 | 88.9 | 92.7 |
eGFR: † p < 0.05 for comparisons across categories of proxies of acculturation; estimated glomerular filtration rate; UACR: Urine albumin to creatinine ratio.
Referent group.
p < 0.05 for comparisons across categories of proxies of acculturation.
Fig. 1Association of Acculturation with Prevalent CKD.*
*Adjusted for gender, education, income, insurance status, background, site, hypertension, and diabetes.
Fig. 2Association of Acculturation with Kidney Function.*
*Adjusted for age, gender, education, income, insurance status, background, site, background*site. In addition, eGFR models are adjusted for log-albuminuria and albuminuria models are adjusted for eGFR. eGFR-estimated glomerular filtration rate.