THE MULTIPLE LOCATION TIME WEIGHTED INDEX: USING PATIENT ACTIVITY SPACES TO CALCULATE PRIMARY CARE SERVICE AREAS

Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering “free or low cost visits”, meeting “all of the patient’s health care needs”, and seeing “the patient quickly” were all ranked higher than geographic reasons. Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts.

The inhibition of lipid transfer protein by negatively charged liposomes modifies the therapeutic index of amphotericin B

We have shown that liposomal amphotericin B (L-AmpB) decreased renal toxicity and maintains the antifungal activity of amphotericin B (AmpB). We have also observed that L-AmpB is predominantly associated with high density lipoproteins (HDL) as compared to Fungizone (AmpB + deoxycholate). The present experiments were designed to assess the biological relevance of transferring AmpB to HDL. We observed that AmpB was less toxic to kidney cells when associated with HDL, however AmpB toxicity was maintained when associated with LDL. To further understand how HDL-associated AmpB reduces renal cell toxicity the presence of HDL and LDL receptors in this cell line was determined. We observed that these cells expressed high and low affinity LDL receptors, but only low affinity HDL receptors. The reduced renal cell toxicity of HDL-associated AmpB may be due to its lack of interaction with renal cells because of the absence of HDL receptors. Since AmpB interacts with cholesteryl esters whose transfer among lipoproteins is regulated by Lipid transfer Protein (LTP), the role of LTP on the distribution of AmpB to HDL and LDL was next examined. We found that negatively charged liposomes significantly reduced LTP-mediated transfer of CE between HDL and LDL, independent of the presence of AmpB, while Fungizone only significantly inhibited CE transfer at one concentration tested (20$\mu$g/ml). Therefore, we believe that the decreased renal toxicity of L-AmpB is related to its predominant distribution to HDL which is regulated by the inhibition of LTP activity. ^

Does cigarette smoking modify the association between change in body mass index during young adulthood and risk of coronary mortality during middle-age in men? Twenty-five year follow-up results from the Chicago Western Electric Study

Many persons in the U.S. gain weight during young adulthood, and the prevalence of obesity has been increasing among young adults. Although obesity and physical inactivity are generally recognized as risk factors for coronary heart disease (CHD), the magnitude of their effect on risk may have been seriously underestimated due to failure to adequately handle the problem of cigarette smoking. Since cigarette smoking causes weight loss, physically inactive cigarette smokers may remain relatively lean because they smoke cigarettes. We hypothesize cigarette smoking modifies the association between weight gain during young adulthood and risk of coronary heart disease during middle age, and that the true effect of weight gain during young adulthood on risk of CHD can be assessed only in persons who have not smoked cigarettes. Specifically, we hypothesize that weight gain during young adulthood is positively associated with risk of CHD during middle-age in nonsmokers but that the association is much smaller or absent entirely among cigarette smokers. The purpose of this study was to test this hypothesis. The population for analysis was comprised of 1,934 middle-aged, employed men whose average age at the baseline examination was 48.7 years. Information collected at the baseline examinations in 1958 and 1959 included recalled weight at age 20, present weight, height, smoking status, and other CHD risk factors. To decrease the effect of intraindividual variation, the mean values of the 1958 and 1959 baseline examinations were used in analyses. Change in body mass index ($\Delta$BMI) during young adulthood was the primary exposure variable and was measured as BMI at baseline (kg/m$\sp2)$ minus BMI at age 20 (kg/m$\sp2).$ Proportional hazards regression analysis was used to generate relative risks of CHD mortality by category of $\Delta$BMI and cigarette smoking status after adjustment for age, family history of CVD, major organ system disease, BMI at age 20, and number of cigarettes smoked per day. Adjustment was not performed for systolic blood pressure or total serum cholesterol as these were regarded as intervening variables. Vital status was known for all men on the 25th anniversary of their baseline examinations. 705 deaths (including 319 CHD deaths) occurred over 40,136 person-years of experience. $\Delta$BMI was positively associated with risk of CHD mortality in never-smokers, but not in ever-smokers (p for interaction = 0.067). For never-smokers with $\Delta$BMI of stable, low gain, moderate gain, and high gain, adjusted relative risks were 1.00, 1.62, 1.61, and 2.78, respectively (p for trend = 0.010). For ever-smokers, with $\Delta$BMI of stable, low gain, moderate gain, and high gain, adjusted relative risks were 1.00, 0.74, 1.07, and 1.06, respectively (p for trend = 0.422). These results support the research hypothesis that cigarette smoking modifies the association between weight gain and CHD mortality. Current estimates of the magnitude of effect of obesity and physical inactivity on risk of coronary mortality may have been seriously underestimated due to inadequate handling of cigarette smoking. ^

The multiple location time weighted index: Using patient activity spaces to calculate primary care service areas

Geographic health planning analyses, such as service area calculations, are hampered by a lack of patient-specific geographic data. Using the limited patient address information in patient management systems, planners analyze patient origin based on home address. But activity space research done sparingly in public health and extensively in non-health related arenas uses multiple addresses per person when analyzing accessibility. Also, health care access research has shown that there are many non-geographic factors that influence choice of provider. Most planning methods, however, overlook non-geographic factors influencing choice of provider, and the limited data mean the analyses can only be related to home address. This research attempted to determine to what extent geography plays a part in patient choice of provider and to determine if activity space data can be used to calculate service areas for primary care providers. ^ During Spring 2008, a convenience sample of 384 patients of a locally-funded Community Health Center in Houston, Texas, completed a survey that asked about what factors are important when he or she selects a health care provider. A subset of this group (336) also completed an activity space log that captured location and time data on the places where the patient regularly goes. ^ Survey results indicate that for this patient population, geography plays a role in their choice of health care provider, but it is not the most important reason for choosing a provider. Other factors for choosing a health care provider such as the provider offering "free or low cost visits", meeting "all of the patient's health care needs", and seeing "the patient quickly" were all ranked higher than geographic reasons. ^ Analysis of the patient activity locations shows that activity spaces can be used to create service areas for a single primary care provider. Weighted activity-space-based service areas have the potential to include more patients in the service area since more than one location per patient is used. Further analysis of the logs shows that a reduced set of locations by time and type could be used for this methodology, facilitating ongoing data collection for activity-space-based planning efforts. ^

Body mass index trajectories and predictors among 3rd to 12th graders using growth curve mixture modeling the Child and Adolescent Trial for Cardiovascular Health (CATCH) study

This dissertation examined body mass index (BMI) growth trajectories and the effects of gender, ethnicity, dietary intake, and physical activity (PA) on BMI growth trajectories among 3rd to 12th graders (9-18 years of age). Growth curve model analysis was performed using data from The Child and Adolescent Trial for Cardiovascular Health (CATCH) study. The study population included 2909 students who were followed up from grades 3-12. The main outcome was BMI at grades 3, 4, 5, 8, and 12. ^ The results revealed that BMI growth differed across two distinct developmental periods of childhood and adolescence. Rate of BMI growth was faster in middle childhood (9-11 years old or 3rd - 5th grades) than in adolescence (11-18 years old or 5th - 12th grades). Students with higher BMI at 3rd grade (baseline) had faster rates of BMI growth. Three groups of students with distinct BMI growth trajectories were identified: high, average, and low. ^ Black and Hispanic children were more likely to be in the groups with higher baseline BMI and faster rates of BMI growth over time. The effects of gender or ethnicity on BMI growth differed across the three groups. The effects of ethnicity on BMI growth were weakened as the children aged. The effects of gender on BMI growth were attenuated in the groups with a large proportion of black and Hispanic children, i.e., “high” or “average” BMI trajectory group. After controlling for gender, ethnicity, and age at baseline, in the “high BMI trajectory”, rate of yearly BMI growth in middle childhood increased 0.102 for every 500 Kcals increase (p=0.049). No significant effects of percentage of energy from total fat and saturated fat on BMI growth were found. Baseline BMI increased 0.041 for every 30 minutes increased in moderate-to-vigorous PA (MVPA) in the “low BMI trajectory”, while Baseline BMI decreased 0.345 for every 30 minutes increased in vigorous PA (VPA) in the “high BMI trajectory”. ^ Childhood overweight and obesity interventions should start at the earliest possible ages, prior to 3rd grade and continue through grade school. Interventions should focus on all children, but specifically black and Hispanic children, who are more likely to be highest at-risk. Promoting VPA earlier in childhood is important for preventing overweight and obesity among children and adolescents. Interventions should target total energy intake, rather than only percentage of energy from total fat or saturated fat. ^

Characterization of diabetes risk factors of elementary school children in low income areas of San Antonio, Texas

The number of children developing type-2 diabetes mellitus (T2DM) is increasing globally, especially in Western countries. Previous studies have indicated that low socioeconomic status (SES) is a contributing factor to diabetes. This study of children examined the relationship of socioeconomic status and two physiological measures that are risk factors for diabetes: the level of fasting capillary glucose (FCG) and hyperglycemia, in which there is an elevated amount of glucose in the blood. This study utilized data from the study entitled Bienester: A School-Based Diabetes Mellitus Prevention Program. The sample was 1,426 fourth grade students from 27 San Antonio Independent School District elementary schools. The dependent variable was FCG and the independent variable was the median family income associated with the student's zip code based on Census information. Other variables included body mass index, gender, and ethnicity. The statistical results showed no relationship between FCG, continuously defined, and income. In addition, there was no relationship between hyperglycemia and income. Furthermore, there was no relationship of FCG with BMI, gender, or ethnicity. Income measured at the zip code level is likely too aggregate and distal an influence to demonstrate an impact on FCG. Research should continue to examine risk factors associated with the onset of T2DM.^

Why does low dose morphine augment fentanyl analgesia?

Opioids dominate the field of pain management because of their ability to provide analgesia in many medical circumstances. However, side effects including respiratory depression, constipation, tolerance, physical dependence, and the risk of addiction limit their clinical utility. Fear of these side effects results in the under-treatment of acute pain. For many years, research has focused on ways to improve the therapeutic index (the ratio of desirable analgesic effects to undesirable side effects) of opioids. One strategy, combining opioid agonists that bind to different opioid receptor types, may prove successful.^ We discovered that subcutaneous co-administration of a moderately analgesic dose of the mu-opioid receptor (MOR) selective agonist fentanyl (20μg/kg) with subanalgesic doses of the less MOR-specific agonist morphine (100ng/kg-100μg/kg), augmented acute fentanyl analgesia in rats. Parallel [35S]GTPγS binding studies using naïve rat substantia gelatinosa membrane treated with fentanyl (4μM) and morphine (1nM-1pM) demonstrated a 2-fold increase in total G-protein activation. This correlation between morphine-induced augmentation of fentanyl analgesia and G-protein activation led to our proposal that interactions between MORs and DORs underlie opioid-induced augmentation. We discovered that morphine-induced augmentation of fentanyl analgesia and G-protein activity was mediated by DORs. Adding the DOR-selective antagonist naltrindole (200ng/kg, 40nM) at doses that did not alter the analgesic or G-protein activation of fentanyl, blocked increases in analgesia and G-protein activation induced by fentanyl/morphine combinations. Equivalent doses of the MOR-selective antagonist cyprodime (20ng/kg, 4nM) did not block augmentation. Substitution of the DOR-selective agonist SNC80 for morphine yielded similar results, further supporting our conclusion that interactions between MORs and DORs are responsible for morphine-induced augmentation of fentanyl analgesia and G-protein activation. Confocal microscopy of rat substantia gelatinosa showed that changes in the rate of opioid receptor internalization did not account for these effects.^ In conclusion, fentanyl analgesia augmentation by subanalgesic morphine is mediated by increased G-protein activation resulting from functional interactions between MORs and DORs, not changes in MOR internalization. Additional animal and clinical studies are needed to determine whether side effect incidence changes following opioid co-administration. If side effect incidence decreases or remains unchanged, these findings could have important implications for clinical pain treatment. ^

Low birthweight and the risk of developing subsequent high blood pressure and/or dyslipidemia in childhood

The association between birthweight and blood pressure (BP), and birthweight and serum lipid concentrations at age 7 through 11 years was examined in 1446 black and white children. The prevalence ratio (with 95% confidence interval) for being in the race-, sex- and age-specific upper decile of diastolic BP in children born with low birthweight (LBW, $<$2500 grams) versus children with birthweight $\geq$2500 grams was for black boys, 2.66 (1.24-5.70). In the other race-sex groups for diastolic BP, and in all race-sex groups for systolic BP this ratio did not differ from one. Among white boys with LBW, but not in the other race-sex groups, higher than expected percentages of subjects were in the highest decile group of triglyceride concentrations (0.01 $<$ p $<$ 0.05). The prevalence ratio was 2.42 (1.19-4.91). When prematures were excluded only more than expected white girls with LBW were in the highest decile group of triglyceride concentrations. The prevalence ratio was 3.23 (1.16-9.00). Prevalence ratios for triglyceride concentrations in black boys and girls, and for LDL/HDL-C ratio, cholesterol and VLDL-C concentrations in all race-sex groups were not different from one in analyses including and in those excluding prematures. Mean triglyceride concentrations stratified by tertiles of Quetelet Index, race and sex showed a strongly positive association between triglyceride concentrations and Quetelet Index, and in the upper tertile of the Quetelet Index an association between LBW and raised triglyceride concentrations. Multiple linear regression analyses showed that after adjusting for sex, race and age present Quetelet Index (p $<$ 0.001) is a much stronger predictor of systolic and diastolic BP, and also of LDL-C/HDL-C ratio and triglyceride concentrations in this age group than birthweight (p $>$ 0.05). Thus, an association between LBW and subsequent risk for elevated BP was confirmed for diastolic BP in black boys, but not for the other race-sex groups, and not for systolic BP in any group. This is the first study finding an association between LBW and elevated triglyceride concentrations in boys (white and black) and girls (white). A follow-up study to assess whether the findings can be confirmed at adult age is recommended. ^