Risk for metabolic control problems in minority youth with diabetes.
(17/5055)
OBJECTIVE: We examined and quantified the degree of risk for poor glycemic control and hospitalizations for diabetic ketoacidosis (DKA) among black, Hispanic, and white children and adolescents with diabetes. RESEARCH DESIGN AND METHODS: We examined ethnic differences in metabolic control among 68 black, 145 Hispanic, and 44 white children and adolescents with type 1 diabetes (mean age 12.9 [range 1-21] years), who were primarily of low socioeconomic status. Clinical and demographic data were obtained by medical chart review. Glycohemoglobins were standardized and compared across ethnic groups. Odds ratios among the ethnic groups for poor glycemic control and hospitalizations for DKA were also calculated. RESULTS: The ethnic groups were not different with respect to age, BMI, insulin dose, or hospitalizations for DKA, but black children were older at the time of diagnosis than Hispanics (P < 0.05) and were less likely to have private health insurance than white and Hispanic children (P < 0.001). Black youths had higher glycohemoglobin levels than white and Hispanic youths (P < 0.001 after controlling for age at diagnosis). Black youths were also at greatest risk for poor glycemic control (OR = 3.9, relative to whites; OR = 2.5, relative to Hispanics). CONCLUSIONS: These results underscore and quantify the increased risk for glycemic control problems of lower-income, black children with diabetes. In the absence of effective intervention, these youths are likely to be overrepresented in the health care system as a result of increased health complications related to diabetes. (+info)
Latino beliefs about diabetes.
(18/5055)
OBJECTIVE: To describe Latino beliefs about diabetes and assess heterogeneity in beliefs across different groups. RESEARCH DESIGN AND METHODS: This study comprised a survey of 161 representative Latino adults from four diverse communities: Hartford, Connecticut; Edinburg, Texas; Guadalajara, Mexico; and rural Guatemala. A 130-item questionnaire covered causes symptoms, and treatments for diabetes. Information on demographics and acquaintanceship with someone with diabetes was also collected. The cultural consensus model was used to analyze the variation in responses to determine whether the degree of consistency within and between samples was sufficient to warrant aggregation and description as a single set of beliefs. RESULTS: Homogeneous beliefs were present within each of the four samples. Although variability in responses increased significantly from Connecticut to Guatemala (P < 0.00005), there was significant agreement between samples on the answers (P < 0.0005). Answers tended to be concordant with the biomedical description of diabetes. Greater acculturation, higher educational attainment, and higher diabetes prevalence were associated with greater cultural knowledge about diabetes. In Connecticut, greater knowledge correlated with longer mainland U.S. residency (P < 0.05). In Mexico, those with average educational attainment knew more (P < 0.05). Finally, average knowledge levels were higher in communities with greater diabetes prevalence. CONCLUSIONS: The cultural consensus model facilitated assessment of cultural beliefs regarding diabetes and diabetes management. Overall, Latino cultural beliefs about diabetes were concordant with the biomedical model. Variation in responses tended to characterize less knowledge or experience with diabetes and not different beliefs. (+info)
Protein metabolism in insulin-treated gestational diabetes.
(19/5055)
OBJECTIVE: To test the hypothesis that protein metabolism is not totally normalized in insulin treated gestational diabetes mellitus (GDM) patients compared with normal, pregnant control subjects. RESEARCH DESIGN AND METHODS: Protein metabolism in eight Hispanic women with insulin-treated GDM and eight healthy Hispanic control women was studied in late gestation and at 6 weeks postpartum. Nitrogen flux was assessed from the disposal rate of [15N]-labeled urea over 12 h after a dose of [15N]-labeled leucine. Plasma amino acid concentrations were determined in fasting and 2-h postprandial samples using an amino acid analyzer. RESULTS: Protein turnover was normalized in insulin-treated GDM; however, fasting and postprandial plasma amino acids were elevated antepartum and postpartum. Nitrogen flux was significantly lower during pregnancy (P = 0.04-0.001) and did not differ between groups. Fasting and postprandial plasma amino acids were elevated in GDM antepartum and postpartum, despite satisfactory glycemic control. Fasting levels of taurine, hydroxyproline, glutamic acid, glutamine, cystine, tyrosine, phenylalanine, tryptophan, and histidine were higher in GDM antepartum and postpartum (P < 0.05). Postprandial concentrations of taurine, hydroxyproline, valine, cystine, isoleucine, leucine, tyrosine, phenylalanine, tryptophan, ornithine, lysine, histidine, and arginine were higher in GDM antepartum and postpartum (P < 0.05). With few exceptions, plasma amino acid concentrations were lower antepartum than postpartum (P < 0.05). CONCLUSIONS: Protein turnover was normalized in insulin-treated women with GDM; however, fasting and postprandial plasma concentrations of amino acids were elevated in the antepartum and postpartum periods, despite satisfactory maternal glycemic control. (+info)
Social environment and year of birth influence type 1 diabetes risk for African-American and Latino children.
(20/5055)
OBJECTIVE: Credible epidemiological data, primarily from European-origin populations, indicate that environmental factors play an important role in the incidence of type 1 diabetes. RESEARCH DESIGN AND METHODS: A population-based registry of incident cases of type 1 diabetes among African-American and Latino children in Chicago was used to explore the influence of individual and neighborhood characteristics on diabetes risk. New cases of insulin-treated diabetes in African-American and Latino Chicagoans aged 0-17 years for 1985-1990 (n = 400) were assigned to one of 77 community areas based on street address. Census tables provided denominators, median household income, percentage of adults > or = 25 years old who had completed high school and college, and a crowding variable for each community area individual-level data were birth cohort, sex, and ethnicity. Outcomes in Poisson regression were sex-, ethnic-, and birth cohort-specific incidence rates. RESULTS: Significant univariate associations between diabetes risk and ethnicity, birth cohort, crowding, and the percentage of adults in each community area who had completed high school and college were observed. African-Americans had a relative risk (RR) of 1.42 (95% CI, 1.14-1.76) compared with Latinos. Risk varied significantly by birth cohort in both ethnic groups. For every 10% increase in the proportion of adults who completed college, the RR for diabetes increased by 25% (RR, 1.25 [95% CI, 1.09-1.44]). Social class variables were significant determinants of risk for African Americans, but not for Latinos. CONCLUSIONS: The strong birth cohort and social class associations observed in this study implicate an infectious exposure linked with age. (+info)
Births: final data for 1997.
(21/5055)
OBJECTIVES: This report presents 1997 data on U.S. births according to a wide variety of characteristics. Data are presented for maternal demographic characteristics including age, live-birth order, race, Hispanic origin, marital status, and educational attainment; maternal lifestyle and health characteristics (medical risk factors, weight gain, and tobacco and alcohol use); medical care utilization by pregnant women (prenatal care, obstetric procedures, complications of labor and/or delivery, attendant at birth, and method of delivery); and infant health characteristics (period of gestation, birthweight, Apgar score, abnormal conditions, congenital anomalies, and multiple births). Also presented are birth and fertility rates by age, live-birth order, race, Hispanic origin, and marital status. Selected data by mother's State of residence are shown including teenage birth rates and total fertility rates, as well as data on month and day of birth, sex ratio, and age of father. Trends in fertility patterns and maternal and infant characteristics are described and interpreted. METHODS: Descriptive tabulations of data reported on the birth certificates of the 3.9 million births that occurred in 1997 are presented. RESULTS: Birth and fertility rates declined very slightly in 1997. Birth rates for teenagers fell 3 to 5 percent. Rates for women in their twenties changed very little, whereas rates for women in their thirties rose 2 percent. The number of births and the birth rate for unmarried women each declined slightly in 1997 while the percent of births that were to unmarried women was unchanged. Smoking by pregnant women overall dropped again in 1997, but continued to increase among teenagers. Improvements in prenatal care utilization continued. The cesarean delivery rate increased slightly after declining for 7 consecutive years. The proportion of multiple birth continued to rise; higher order multiple births (e.g., triplets, quadruplets) rose by 14 percent in 1997, following a 20 percent rise from 1995 to 1996. Key measures of birth outcome--the percents of low birthweight and preterm births--increased, with particularly large increases in the preterm rate. These changes are in large part the result of increases in multiple births. (+info)
Relationship of compliance with hormone replacement therapy to short-term healthcare utilization in a managed care population.
(22/5055)
OBJECTIVE: To identify healthcare utilization characteristics that distinguish female members of a managed care organization (MCO) who remained compliant with hormone replacement therapy (HRT) from those who had poor compliance during an 18-month period and to estimate the cost of HRT to an MCO. STUDY DESIGN: A retrospective cohort design in a population of continuously enrolled female members of an MCO. METHODS: All female members of the Lovelace Health Plan 40 years of age or older who began HRT between January 1, 1993, and June 30, 1994 (n = 1158). Compliance was determined by calculating an estrogen medication possession ratio based on pharmacy fills over 18 months. "High compliers" (n = 427) were defined as those purchasing at least 80% of their recommended days supply, and "low compliers" (n = 269) as those purchasing less than 20%. Healthcare encounters and costs of high and low compliers were compared. RESULTS: High compliers were younger (P < 0.01), more likely to be non-Hispanic white than Hispanic (P < 0.0001), and had higher costs for obstetric/gynecologic care (P < 0.0001) and non-HRT prescriptions (P < 0.0001). Low compliers had higher point estimates of costs and encounters for all other categories of care, but differences were statistically significant only for emergency department visits (P < 0.001). CONCLUSIONS: The added cost of HRT did not result in higher total healthcare utilization and costs, as women who complied well with therapy had decreased utilization and costs in other categories of care. Differences in subcategories of healthcare utilization suggest that level of HRT compliance reflects differences in how women access healthcare. (+info)
Molecular and genetic damage from environmental tobacco smoke in young children.
(23/5055)
To assess the risks of early life exposure to environmental tobacco smoke (ETS), we tested whether four biomarkers in peripheral blood were associated with home ETS exposure in Hispanic and African-American children. The biomarkers included cotinine (a metabolite of nicotine) and three indicators of molecular and genetic damage from mutagens/carcinogens, protein adducts formed by the carcinogens 4-aminobiphenyl (4-ABP) and polycyclic aromatic hydrocarbons (PAHs), and sister chromatid exchanges (SCEs). We also explored possible ethnic differences in biomarkers. The study cohort comprised 109 Hispanic and African-American preschool children (1-6 years of age). Plasma cotinine was analyzed by gas chromatography, 4-ABP-hemoglobin adducts by gas chromatography-mass spectroscopy, PAH-albumin adducts by ELISA, and SCEs by cytogenetic techniques. Data on the amount of smoking by mothers (average 10.5 cigarettes per day) and other household members and regular visitors (average 6.5 cigarettes per day) were obtained by interview-administered questionnaires. Cotinine, 4-ABP-hemoglobin adducts, and PAH-albumin were significantly higher (P < 0.05) in the ETS-exposed children compared with the unexposed. SCEs were marginally higher (P = 0.076). African-American children had higher levels of cotinine (P = 0.059) and PAH-albumin (P = 0.02) than Hispanic children, after controlling for exposure to ETS. These results indicate molecular and genetic damage in minority children with (+info)
Comparison of methods for classifying Hispanic ethnicity in a population-based cancer registry.
(24/5055)
The accuracy of ethnic classification can substantially affect ethnic-specific cancer statistics. In the Greater Bay Area Cancer Registry, which is part of the Surveillance, Epidemiology, and End Results (SEER) Program and of the statewide California Cancer Registry, Hispanic ethnicity is determined by medical record review and by matching to surname lists. This study compared these classification methods with self-report. Ethnic self-identification was obtained by surveying 1,154 area residents aged 20-89 years who were diagnosed with cancer in 1990 and were reported to the registry as being Hispanic or White non-Hispanic. Predictive value positive, sensitivity, and relative bias were used to assess the accuracy of Hispanic classification by medical record and surname. Among those persons classified as Hispanic by either or both of these sources, only two-thirds agreed (predictive value positive = 66%), and many self-identified Hispanics were classified incorrectly (sensitivity = 68%). Classification based on either medical record or surname alone had a lower sensitivity (59% and 61%, respectively) but a higher predictive value positive (77% and 70%, respectively). Ethnic classification by medical record alone resulted in an underestimate of Hispanic cancer cases and incidence rates. Bias was reduced when medical records and surnames were used together to classify cancer cases as Hispanic. (+info)