Levels and correlates of risk factor control in diabetes mellitus -ELSA-Brasil

被引:2
作者
Chwal, Bruna Cristine [1 ]
dos Reis, Rodrigo Citton Padilha [1 ,2 ]
Schmidt, Maria Ines [1 ,3 ]
Duncan, Bruce B. [1 ,3 ]
Barreto, Sandhi Maria [5 ,6 ]
Griep, Rosane Harter [4 ]
机构
[1] Univ Fed Rio Grande do Sul, Postgrad Program Epidemiol, R Ramiro Barcelos 2600-518, BR-90035003 Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande do Sul, Dept Estat, Porto Alegre, RS, Brazil
[3] Hosp Clin Porto Alegre, R Ramiro Barcelos 2600-518, BR-90035003 Porto Alegre, RS, Brazil
[4] Fundacao Oswaldo Cruz, Inst Oswaldo Cruz, Lab Educ Ambiente & Saude, Rio De Janeiro, RJ, Brazil
[5] Univ Fed Minas Gerais UFMG, Fac Med, Belo Horizonte, MG, Brazil
[6] Univ Fed Minas Gerais UFMG, Hosp Clin EBSERH, Belo Horizonte, MG, Brazil
关键词
Diabetes mellitus; Cardiometabolic risk factors; Glycated hemoglobina A; Hypertension; Hypercholeserolemia; Tobacco smoking; MULTIFACTORIAL INTERVENTION; CARDIOVASCULAR-DISEASE; MORTALITY; TRENDS;
D O I
10.1186/s13098-022-00961-3
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Control of glucose, blood pressure, cholesterol, and smoking improves the prognosis of individuals with diabetes mellitus. Our objective was to assess the level of control of these risk factors in Brazilian adults with known diabetes and evaluate correlates of target achievement.Methods Cross-sectional sample of the Brazilian Longitudinal Study of Adult Health, composed of participants reporting a previous diagnosis of diabetes or the use oof antidiabetic medication. We measured glycated hemoglobin (HbA1c) and LDL-cholesterol at a central laboratory and blood pressure following standardized protocols. We defined HbA1c < 7% as glucose control (target A); blood pressure < 140/90 mmHg (or < 130/80 mmHg in high cardiovascular risk) as blood pressure control (target B), and LDL-c < 100 mg/dl (or < 70 mg/dl in high risk) as lipid control (target C), according to the 2022 American Diabetes Association guidelines.Results Among 2062 individuals with diabetes, 1364 (66.1%) reached target A, 1596 (77.4%) target B, and 1086 (52.7%) target C; only 590 (28.6%) achieved all three targets. When also considering a non-smoking target, those achieving all targets dropped to 555 (26.9%). Women (PR = 1.13; 95%CI 1.07-1.20), those aged & GE; 74 (PR = 1.20; 95%CI 1.08-1.34), and those with greater per capita income (e.g., greatest income PR = 1.26; 95%CI 1.10-1.45) were more likely to reach glucose control. Those black (PR = 0.91; 95%CI 0.83-1.00) or with a longer duration of diabetes (e.g., & GE; 10 years PR = 0.43; 95%CI 0.39-0.47) were less likely. Women (PR = 1.05; 95%CI 1.00-1.11) and those with private health insurance (PR = 1.15; 95%CI 1.07-1.23) were more likely to achieve two or more ABC targets; and those black (PR = 0.86; 95%CI 0.79-0.94) and with a longer duration of diabetes (e.g., > 10 years since diabetes diagnosis, PR = 0.68; 95%CI 0.63-0.73) less likely.Conclusion Control of ABC targets was poor, notably for LDL-c and especially when considering combined control. Indicators of a disadvantaged social situation were associated with less frequent control.
引用
收藏
页数:9
相关论文
共 23 条
[11]   Effect of a multifactorial intervention on mortality in type 2 diabetes [J].
Gaede, Peter ;
Lund-Andersen, Henrik ;
Parving, Hans-Henrik ;
Pedersen, Oluf .
NEW ENGLAND JOURNAL OF MEDICINE, 2008, 358 (06) :580-591
[12]   Social Determinants of Health and Diabetes: A Scientific Review [J].
Hill-Briggs, Felicia ;
Adler, Nancy E. ;
Berkowitz, Seth A. ;
Chin, Marshall H. ;
Gary-Webb, Tiffany L. ;
Navas-Acien, Ana ;
Thornton, Pamela L. ;
Haire-Joshu, Debra .
DIABETES CARE, 2021, 44 (01) :258-279
[13]   County Health Rankings Relationships Between Determinant Factors and Health Outcomes [J].
Hood, Carlyn M. ;
Gennuso, Keith P. ;
Swain, Geoffrey R. ;
Catlin, Bridget B. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2016, 50 (02) :129-135
[14]   Five-Year Cost-effectiveness of the Multidisciplinary Risk Assessment and Management Programme-Diabetes Mellitus (RAMP-DM) [J].
Jiao, Fang Fang ;
Fung, Colman Siu Cheung ;
Wan, Eric Yuk Fai ;
Chan, Anca Ka Chun ;
McGhee, Sarah Morag ;
Kwok, Ruby Lai Ping ;
Lam, Cindy Lo Kuen .
DIABETES CARE, 2018, 41 (02) :250-257
[15]   Comprehensive Management of Cardiovascular Risk Factors for Adults With Type 2 Diabetes: A Scientific Statement From the American Heart Association [J].
Joseph, Joshua J. ;
Deedwania, Prakash ;
Acharya, Tushar ;
Aguilar, David ;
Bhatt, Deepak L. ;
Chyun, Deborah A. ;
Di Palo, Katherine E. ;
Golden, Sherita H. ;
Sperling, Laurence S. .
CIRCULATION, 2022, 145 (09) :E722-E759
[16]   Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status [J].
Kim, Bo-Yeon ;
Won, Jong Chul ;
Lee, Jae Hyuk ;
Kim, Hun-Sung ;
Park, Jung Hwan ;
Ha, Kyoung Hwa ;
Won, Kyu Chang ;
Kim, Dae Jung ;
Park, Kyong Soo .
DIABETES & METABOLISM JOURNAL, 2019, 43 (04) :487-494
[17]   Evolution of Diabetes Care in Hong Kong: From the Hong Kong Diabetes Register to JADE-PEARL Program to RAMP and PEP Program [J].
Ng, Ivy H. Y. ;
Cheung, Kitty K. T. ;
Yau, Tiffany T. L. ;
Chow, Elaine ;
Ozaki, Risa ;
Chan, Juliana C. N. .
ENDOCRINOLOGY AND METABOLISM, 2018, 33 (01) :17-32
[18]   History of Brazil's tobacco control policy from 1986 to 2016 [J].
Portes, Leonardo Henriques ;
Machado, Cristiani Vieira ;
Barretto Turci, Silvana Rubano .
CADERNOS DE SAUDE PUBLICA, 2018, 34 (02)
[19]  
Prevalence and Correlates of Inadequate Glycaemic Control, 2010, ACTA DIABETOL, V47, P137
[20]   Risk Factors, Mortality, and Cardiovascular Outcomes in Patients with Type 2 Diabetes [J].
Rawshani, Aidin ;
Rawshani, Araz ;
Franzen, Stefan ;
Sattar, Naveed ;
Eliasson, Bjorn ;
Svensson, Ann-Marie ;
Zethelius, Bjorn ;
Miftaraj, Mervete ;
McGuire, Darren K. ;
Rosengren, Annika ;
Gudbjornsdottir, Soffia .
NEW ENGLAND JOURNAL OF MEDICINE, 2018, 379 (07) :633-644