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Biomedical subjects

Youlian Liao

Publications and source records attributed to Youlian Liao.

12 recordsLinked to original sources

Midlife body mass index and hospitalization and mortality in older age.

CONTEXT: Abundant evidence links overweight and obesity with impaired health. However, controversies persist as to whether overweight and obesity have additional impact on cardiovascular outcomes independent of their strong associations with established coronary risk factors, eg, high blood pressure and high cholesterol level. OBJECTIVE: To assess the relation of midlife body mass index with morbidity and mortality outcomes in older age among individuals without and with other major risk factors at baseline. DESIGN: Chicago Heart Association Detection Project in Industry study, a prospective study with baseline (1967-1973) cardiovascular risk classified as low risk (blood pressure < or =120/< or =80 mm Hg, serum total cholesterol level <200 mg/dL [5.2 mmol/L], and not currently smoking); moderate risk (nonsmoking and systolic blood pressure 121-139 mm Hg, diastolic blood pressure 81-89 mm Hg, and/or total cholesterol level 200-239 mg/dL [5.2-6.2 mmol/L]); or having any 1, any 2, or all 3 of the following risk factors: blood pressure > or =140/90 mm Hg, total cholesterol level > or =240 mg/dL (6.2 mmol/L), and current cigarette smoking. Body mass index was classified as normal weight (18.5-24.9), overweight (25.0-29.9), or obese (> or =30). Mean follow-up was 32 years. SETTING AND PARTICIPANTS: Participants were 17,643 men and women aged 31 through 64 years, recruited from Chicago-area companies or organizations and free of coronary heart disease (CHD), diabetes, or major electrocardiographic abnormalities at baseline. MAIN OUTCOME MEASURES: Hospitalization and mortality from CHD, cardiovascular disease, or diabetes, beginning at age 65 years. RESULTS: In multivariable analyses that included adjustment for systolic blood pressure and total cholesterol level, the odds ratio (95% confidence interval) for CHD death for obese participants compared with those of normal weight in the same risk category was 1.43 (0.33-6.25) for low risk and 2.07 (1.29-3.31) for moderate risk; for CHD hospitalization, the corresponding results were 4.25 (1.57-11.5) for low risk and 2.04 (1.29-3.24) for moderate risk. Results were similar for other risk groups and for cardiovascular disease, but stronger for diabetes (eg, low risk: 11.0 [2.21-54.5] for mortality and 7.84 [3.95-15.6] for hospitalization). CONCLUSION: For individuals with no cardiovascular risk factors as well as for those with 1 or more risk factors, those who are obese in middle age have a higher risk of hospitalization and mortality from CHD, cardiovascular disease, and diabetes in older age than those who are normal weight.

Adult↗

The REACH 2010 logic model: an illustration of expected performance.

The Centers for Disease Control and Prevention (CDC) supports 40 Racial and Ethnic Approaches to Community Health (REACH 2010) community coalitions in designing, implementing, and evaluating community-driven strategies to eliminate health disparities in racial and ethnic groups. The REACH 2010 logic model was developed to assist grantees in identifying, documenting, and evaluating local attributes of the coalition and its partners to reduce and eliminate local health disparities. The model emphasizes the program's theory of change for addressing health disparities; it displays five distinct stages of evaluation for which qualitative and quantitative measurement data are collected. The CDC is relying on REACH 2010 grantees to provide credible evidence that explains how community contributions have changed conditions and behaviors, thus leading to the reduction and elimination of health disparities.

Centers for Disease Control and Prevention, U.S.↗

Independent effect and population impact of obesity on fatal coronary heart disease in adults.

BACKGROUND: It is unclear whether the coronary heart disease (CHD) mortality risk associated with obesity is mediated only through traditional CHD risk factors. This analysis evaluated the independent CHD mortality risk due to obesity and determined its population attributable risk (PAR). METHODS: Using the NHANES I Epidemiologic Follow-up Study (1971-1992, n = 10,582), a diabetes-body mass index (BMI) variable was constructed. The hazard ratios (HR) for fatal CHD in the diabetes-BMI categories (adjusting for age, sex, race, exercise, education level, smoking, hypertension, cholesterol, and alcohol use) were determined and the PARs subsequently estimated. RESULTS: Compared to lean non-diabetics, the HR (95% CI) for fatal CHD is 0.8 (0.7, 1.1) in overweight non-diabetics, 1.4 (1.3, 2.0) in obese non-diabetics, 2.2 (1.2, 4.0) in lean diabetics, 2.3 (1.4, 3.9) in overweight diabetics, and 3.3 (1.9, 8.9) in obese diabetics. The PAR% is -6.8 (-15.7, 1.8) in overweight non-diabetics, 6.1 (1.7, 11.1) in obese non-diabetics, 2.0 (0.3, 4.0) in lean diabetics, 2.2 (0.6, 4.3) in overweight diabetics, and 2.2 (0.8, 3.8) in obese diabetics. CONCLUSIONS: Obesity is an independent risk factor for CHD mortality even after controlling for traditional CHD risk factors. The PAR for CHD death in obese non-diabetics is significant. Obesity should be aggressively treated in those without traditional CHD risk factors.

Adult↗

Sex differences in the effect of diabetes duration on coronary heart disease mortality.

BACKGROUND: It is not known whether the coronary heart disease (CHD) mortality risk associated with recent (RDM; <10 years) or long-standing diabetes mellitus (LDM; > or =10 years) varies by sex. METHODS: The relationship between diabetes duration and CHD mortality was evaluated among 10 871 adults (aged 35-74 years at baseline) using the 1971-1992 National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. RESULTS: The CHD mortality rates per 1000 person-years in men with no myocardial infarction (MI) or diabetes, MI only, RDM only, LDM only, MI and RDM, and MI and LDM were 5.5 (95% confidence interval, 4.8-6.2), 15.2 (11.6-20.0), 13.2 (7.9-22.1), 11.4 (6.4-20.3), 36.0 (16.7-77.7), and 35.4 (14.0-89.7), respectively. The corresponding rates in women were 2.9 (2.5-3.3), 7.3 (5.0-10.8), 5.2 (3.5-7.7), 10.7 (7.5-15.5), 9.3 (4.3-19.9), and 21.6 (6.1-76.0), respectively. Compared with MI, the multivariate hazard ratios and their 95% confidence intervals (adjusted for age, race, smoking, hypertension, total cholesterol level, and body mass index) for fatal CHD in men with RDM, LDM, MI and RDM, and MI and LDM were 0.7 (0.3-1.3), 0.8 (0.4-1.4), 3.2 (1.4-7.4), and 2.4 (0.8-6.7), respectively. The corresponding ratios in women were 0.9 (0.6-1.3), 1.8 (1.1-3.2), 1.3 (0.5-3.5), and 1.6 (0.2-10.9), respectively. CONCLUSIONS: In men, RDM and LDM were associated with as high a risk for CHD death as MI. In women, although RDM had a CHD mortality risk similar to MI, LDM had an even greater risk. Because women with LDM are at very high risk for CHD mortality, current guidelines may need to be further refined to match intensity of treatment to risk in these women.

Adult↗

REACH 2010 Surveillance for Health Status in Minority Communities --- United States, 2001--2002.

PROBLEM/CONDITION: The U.S. population continues to diversify, and certain racial/ethnic minorities are growing at a substantially more rapid pace than the majority population. Limited large-scale population-based surveys and surveillance systems are designed to monitor the health status of minority populations. The Racial and Ethnic Approaches to Community Health (REACH) 2010 Risk Factor Survey is conducted annually in minority communities in the United States. The survey focuses on four minority populations (blacks, Hispanics, Asians/Pacific Islanders [A/PIs], and American Indians). REPORTING PERIOD COVERED: 2001-2002. DESCRIPTION OF SYSTEM: Telephone (n = 18 communities) and face-to-face (n = 3 communities) interviews were conducted in 21 communities located in 14 states (Alabama, California, Georgia, Illinois, Louisiana, Massachusetts, Michigan, New York, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, and Washington). An average of 1,000 minority residents aged >/=18 years in each community was sampled. Interviews were administered in English, Spanish, Vietnamese, Khmer, or Mandarin Chinese. The median response rate for household screenings was 74.0% for households that were reached and 72.0% for family members interviewed. The self-reported data from the community were compared with data derived from the Behavioral Risk Factor Surveillance System (BRFSS) for the metropolitan/micropolitan statistical area (MMSA) or the state where the community was located and compared with national estimates from BRFSS. RESULTS: Reported education level and household income were markedly lower in minority communities than the general population living in the comparison MMSA or state. More minorities reported being in fair or poor health, but they did not see a doctor because of the cost. Substantial variations were observed in the prevalence of health-risk factors and selected chronic conditions among minority populations and in communities within the same racial/ethnic minority. The median prevalence of obesity among A/PI men and women was 2.9% and 3.6%, respectively, whereas 39.2% and 37.5% of American Indian men and women were obese, respectively. Cigarette smoking was common in American Indian communities, with a median of 42.2% for men and 36.7% for women. Compared with the national level, fewer minority adults reported eating >/=5 fruits and vegetables daily and met recommendations for moderate or vigorous leisure-time physical activity. American Indian communities had a high prevalence of self-reported cardiovascular disease, hypertension, high blood cholesterol, and diabetes. A high prevalence of hypertension and diabetes was also observed in black communities (32.0% and 10.9%, respectively, for men and 40.4% and 14.3%, respectively, for women). Compared with the general U.S. population, a substantially lower percentage of Hispanics and A/PIs had reported receiving preventive services (e.g., cholesterol screenings; glycosylated hemoglobin tests and foot examinations for patients with diabetes; mammograms and Papanicolaou smear tests; and vaccination for influenza and pneumonia among adults aged >/=65 years). INTERPRETATION: Data from the REACH 2010 Risk Factor Survey demonstrate that residents in the minority communities bear greater risks for disease compared with the general population living in the same MMSA or state. Substantial variations in the prevalence of risk factors, chronic conditions, and use of preventive services among different minority populations and in communities within the same racial/ethnic population provide opportunities for public health interventions. These variations also indicate that different racial/ethnic populations and different communities should have different priorities in eliminating health disparities. PUBLIC HEALTH ACTIONS: The continuous surveillance of health status in minority communities is necessary so that culturally sensitive prevention strategies can be tailored to these communities and program interventions evaluated.

Behavioral Risk Factor Surveillance System↗

Critical evaluation of adult treatment panel III criteria in identifying insulin resistance with dyslipidemia.

OBJECTIVE: The goal of this study was to evaluate the efficacy of the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (ATP III) in identifying insulin resistance. RESEARCH DESIGN AND METHODS: This study included 74 nondiabetic Caucasians who were evaluated for insulin resistance and risk factors associated with the metabolic syndrome. Glucose disposal rate (GDR) was measured by hyperinsulinemic-euglycemic clamp and was used to quantify insulin resistance. Sensitivity and specificity of ATP III criteria in detecting insulin resistance were calculated for various cutoffs of GDR. RESULTS: Insulin resistance was associated with increased waist circumference, fasting glucose, blood pressure, triglycerides, and decreased levels of HDL cholesterol. Only 12.2% of study subjects met ATP III criteria for metabolic syndrome, and ATP III criteria exhibited low sensitivity for detecting insulin resistance. Although high in specificities (>90%), the sensitivities of ATP III criteria ranged only between 20 and 50% when insulin resistance was defined as various GDR cutoff values below 10 to 12 mg.kg(-1).min(-1). The larger number of subjects who were insulin resistant but did not meet ATP III criteria were found to have an adverse cardiovascular disease risk profile, including higher BMI, waist circumference, fasting glucose, triglycerides, and an unfavorable lipoprotein subclass profile determined by nuclear magnetic resonance compared with insulin-sensitive individuals (i.e., increased large VLDL, increased small LDL, and decreased large HDL particle concentrations). CONCLUSIONS: ATP III criteria have low sensitivity for identifying insulin resistance with dyslipidemia in nondiabetic individuals who are at increased risk for cardiovascular disease and diabetes. More sensitive criteria should be developed for clinical assessment of metabolic and cardiovascular disease risk relevant to the metabolic syndrome.

Adult↗

Health status among REACH 2010 communities, 2001-2002.

The REACH 2010 Risk Factor Survey was conducted in 21 minority communities in the United States during June 2001-August 2002. The survey included 10,953 Blacks/African Americans, 4,257 Hispanics/Latinos, 4,204 Asians, and 1,791 American Indians. Data demonstrate that residents in the minority communities bear a greater socioeconomic, risk factor, and disease burden than do members of the general US population. However, substantial variations in the prevalence of risk factors and chronic conditions also indicated that public health priorities should vary among different racial/ethnic groups, and even among communities within each group, and that culturally sensitive primary and secondary prevention strategies should be tailored to meet community-specific needs.

Adolescent↗

Sex differences in risk for coronary heart disease mortality associated with diabetes and established coronary heart disease.

BACKGROUND: The sex-specific independent effect of diabetes mellitus and established coronary heart disease (CHD) on subsequent CHD mortality is not known. METHODS: This is an analysis of pooled data (n = 5243) from the Framingham Heart Study and the Framingham Offspring Study with follow-up of 20 years. At baseline (1971-1975), 134 men and 95 women had diabetes, while 222 men and 129 women had CHD. Risk for CHD death was analyzed by proportional hazards models, adjusting for age, hypertension, serum cholesterol levels, smoking, and body mass index. The comparative effect of established CHD vs diabetes on the risk of CHD mortality was tested by testing the difference in log hazards. RESULTS: The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for death from CHD were 2.1 (95% CI, 1.3-3.3) in men with diabetes only, and 4.2 (95% CI, 3.2-5.6) in men with CHD only compared with men without diabetes or CHD. The HR for CHD death was 3.8 (95% CI, 2.2-6.6) in women with diabetes, and 1.9 (95% CI, 1.1-3.4) in women with CHD. The difference between the CHD and the diabetes log hazards was +0.73 (95% CI, 0.72-0.75) in men and -0.65 (95% CI, -0.68 to -0.63) in women. CONCLUSIONS: In men, established CHD signifies a higher risk for CHD mortality than diabetes. This is reversed in women, with diabetes being associated with greater risk for CHD mortality. Current treatment recommendations for women with diabetes may need to be more aggressive to match CHD mortality risk.

Adult↗

Impact of minor electrocardiographic ST-segment and/or T-wave abnormalities on cardiovascular mortality during long-term follow-up.

Minor ST-T abnormalities are common on the resting electrocardiogram of otherwise healthy persons, but the long-term importance of these findings has not been extensively evaluated, especially in women. In a prospective study, 7,985 women and 9,630 men (aged 40 to 64 years at baseline) without other electrocardiographic abnormalities and free of previous coronary heart disease (CHD) were studied using Cox regression for 22-years of follow-up. Primary outcomes were death from CHD and total cardiovascular disease (CVD); total mortality was a secondary outcome. Minnesota Code was employed to assess the presence or absence of electrocardiographic abnormalities. Analyses compared persons with minor Minnesota Code ST-segment (codes 4-3 or 4-4) or T-wave findings (codes 5-3 or 5-4) to those with normal electrocardiographic findings. In combined analyses of men and women adjusted for age, isolated minor T-wave abnormality, minor ST-segment depression, or a combination of minor ST-segment and T-wave abnormalities were each associated with increased mortality risks. For CHD mortality, hazard ratios (HRs) ranged from 1.60 to 2.10; for CVD mortality, HRs ranged from 1.50 to 1.95; and for total mortality, HRs ranged from 1.31 to 1.50 (p <0.05 for all HRs). In separate analyses by gender adjusted for age, increased risks were observed for combined ST-T-wave abnormalities in both genders for CHD and CVD mortality (HR 1.72 to 1.75 for men, p <0.05; HR 2.07 to 2.51 for women, p <0.001). These data indicate that nonspecific (minor) ST-segment depression and/or T-wave abnormalities have a long-term prognostic impact for CHD and CVD death in middle-aged women and men and can be considered markers of heightened CHD and CVD risk.

Adult↗

Effects of insulin resistance and type 2 diabetes on lipoprotein subclass particle size and concentration determined by nuclear magnetic resonance.

The insulin resistance syndrome (IRS) is associated with dyslipidemia and increased cardiovascular disease risk. A novel method for detailed analyses of lipoprotein subclass sizes and particle concentrations that uses nuclear magnetic resonance (NMR) of whole sera has become available. To define the effects of insulin resistance, we measured dyslipidemia using both NMR lipoprotein subclass analysis and conventional lipid panel, and insulin sensitivity as the maximal glucose disposal rate (GDR) during hyperinsulinemic clamps in 56 insulin sensitive (IS; mean +/- SD: GDR 15.8 +/- 2.0 mg. kg(-1). min(-1), fasting blood glucose [FBG] 4.7 +/- 0.3 mmol/l, BMI 26 +/- 5), 46 insulin resistant (IR; GDR 10.2 +/- 1.9, FBG 4.9 +/- 0.5, BMI 29 +/- 5), and 46 untreated subjects with type 2 diabetes (GDR 7.4 +/- 2.8, FBG 10.8 +/- 3.7, BMI 30 +/- 5). In the group as a whole, regression analyses with GDR showed that progressive insulin resistance was associated with an increase in VLDL size (r = -0.40) and an increase in large VLDL particle concentrations (r = -0.42), a decrease in LDL size (r = 0.42) as a result of a marked increase in small LDL particles (r = -0.34) and reduced large LDL (r = 0.34), an overall increase in the number of LDL particles (r = -0.44), and a decrease in HDL size (r = 0.41) as a result of depletion of large HDL particles (r = 0.38) and a modest increase in small HDL (r = -0.21; all P < 0.01). These correlations were also evident when only normoglycemic individuals were included in the analyses (i.e., IS + IR but no diabetes), and persisted in multiple regression analyses adjusting for age, BMI, sex, and race. Discontinuous analyses were also performed. When compared with IS, the IR and diabetes subgroups exhibited a two- to threefold increase in large VLDL particle concentrations (no change in medium or small VLDL), which produced an increase in serum triglycerides; a decrease in LDL size as a result of an increase in small and a reduction in large LDL subclasses, plus an increase in overall LDL particle concentration, which together led to no difference (IS versus IR) or a minimal difference (IS versus diabetes) in LDL cholesterol; and a decrease in large cardioprotective HDL combined with an increase in the small HDL subclass such that there was no net significant difference in HDL cholesterol. We conclude that 1) insulin resistance had profound effects on lipoprotein size and subclass particle concentrations for VLDL, LDL, and HDL when measured by NMR; 2) in type 2 diabetes, the lipoprotein subclass alterations are moderately exacerbated but can be attributed primarily to the underlying insulin resistance; and 3) these insulin resistance-induced changes in the NMR lipoprotein subclass profile predictably increase risk of cardiovascular disease but were not fully apparent in the conventional lipid panel. It will be important to study whether NMR lipoprotein subclass parameters can be used to manage risk more effectively and prevent cardiovascular disease in patients with the IRS.

Adult↗

Left Ventricular Hypertrophy in the Elderly.

The prevalence of LVH increases markedly with aging approaching one third of men and one half of women 70 years or older. Several determinants of LVH have been defined including systemic hypertension, obesity and several other hemodynamic and nonhemodynamic stimuli. The grave prognostic role of LVH has been well documented and the following potential sequelae of LVH have been identified: myocardial ischemia and infarction, ventricular arrhythmias, heart failure with a preserved or impaired left ventricular systolic function, cerebrovascular disease and cardiovascular mortality. The presence of comorbid conditions coupled with the high prevalence rate of LVH in the elderly population enhances the susceptibility of this population and underscores the urgent need to adopt strategies that help to prevent the development of LVH and explore the potential beneficial effects of reversing it.

Journal Article↗