Population amalgamation and genetic variation: observations on artificially agglomerated tribal populations of Central and South America.

The interpretation of data on genetic variation with regard to the relative roles of different evolutionary factors that produce and maintain genetic variation depends critically on our assumptions concerning effective population size and the level of migration between neighboring populations. In humans, recent population growth and movements of specific ethnic groups across wide geographic areas mean that any theory based on assumptions of constant population size and absence of substructure is generally untenable. We examine the effects of population subdivision on the pattern of protein genetic variation in a total sample drawn from an artificial agglomerate of 12 tribal populations of Central and South America, analyzing the pooled sample as though it were a single population. Several striking findings emerge. (1) Mean heterozygosity is not sensitive to agglomeration, but the number of different alleles (allele count) is inflated, relative to neutral mutation/drift/equilibrium expectation. (2) The inflation is most serious for rare alleles, especially those which originally occurred as tribally restricted "private" polymorphisms. (3) The degree of inflation is an increasing function of both the number of populations encompassed by the sample and of the genetic divergence among them. (4) Treating an agglomerated population as though it were a panmictic unit of long standing can lead to serious biases in estimates of mutation rates, selection pressures, and effective population sizes. Current DNA studies indicate the presence of numerous genetic variants in human populations. The findings and conclusions of this paper are all fully applicable to the study of genetic variation at the DNA level as well.

The effects of antipsychotic medications on eye movements in schizophrenia

Schizophrenia is the most prevalent mental disorder in the world, affecting approximately one percent of the population. Antipsychotic medications have successfully treated schizophrenic psychotic symptoms for years, however their positive effects on cognitive dysfunction, a core feature of schizophrenia, are inconclusive. Recent studies have shown that improved cognitive functioning is most often associated with the best long-term prognosis. Thus, clarifying the cognitive effects of commonly prescribed antipsychotic medications is pivotal to improving quality of life and long-term care of schizophrenic patients.^ Previous studies on cognitive dysfunction in schizophrenia utilized complex neuropsychological tasks requiring many intact areas of the brain for proper completion. These complexities make interpretation of acquired data difficult. Recently, eye movements have been identified as a more effective surrogate for investigating cognitive functioning. Eye movements are easily measured, require known discrete areas of the brain for processing, and are ubiquitous. They influence what we attend to and process in the brain; thus they are a pivotal aspect of cognitive functioning. This study sought to examine the effects of antipsychotic medications on eye movements in forty-two schizophrenic patients. These patients were divided equally into the three tested medication groups: haloperidol, olanzapine, and aripiprazole. To the extent possible, these groups were further separated into task-impaired and task-nonimpaired subgroups, and again analyzed. Clinical and neuropsychological scales were administered to assess clinical and eye movement changes.^ The results of this study found the olanzapine-treated group exhibited superior cognitive effects to the aripiprazole-treated group, who was superior to the haloperidol-treated group. Furthermore, upon subdivision into cognitively impaired and nonimpaired subgroups, both olanzapine-treated subgroups continued to show improvement, while only the aripiprazole-treated impaired subgroup showed cognitive benefit. The haloperidol-treated nonimpaired subgroup actually demonstrated worsening effects. Interestingly, despite the cognitive decline of some subgroups, the clinical assessment results indicated virtually all subgroups exhibited significant clinical improvement. Hence, careful selection of an antipsychotic medication is crucial, as this study shows some treatments may help whereas others may hinder cognitive functioning in schizophrenia. ^ The results of this study are extremely important given the relationship between cognitive improvement and long-term prognosis in schizophrenia. Finally, and perhaps most importantly, these results indicate that clinical improvement is not necessarily indicative of cognitive improvement. ^

The relationship between supermarket nutrient movements and the mortality rates from fat-associated and non-fat-associated cardiovascular disease: Development of an ecologic method for determining community food patterns

Supermarket nutrient movement, a community food consumption measure, aggregated 1,023 high-fat foods, representing 100% of visible fats and approximately 44% of hidden fats in the food supply (FAO, 1980). Fatty acid and cholesterol content of foods shipped from the warehouse to 47 supermarkets located in the Houston area were calculated over a 6 month period. These stores were located in census tracts with over 50% of a given ethnicity: Hispanic, black non-Hispanic, or white non-Hispanic. Categorizing the supermarket census tracts by predominant ethnicity, significant differences were found by ANOVA in the proportion of specific fatty acids and cholesterol content of the foods examined. Using ecological regression, ethnicity, income, and median age predicted supermarket lipid movements while residential stability did not. No associations were found between lipid movements and cardiovascular disease mortality, making further validation necessary for epidemiological application of this method. However, it has been shown to be a non-reactive and cost-effective method appropriate for tracking target foods in populations of groups, and for assessing the impact of mass media nutrition education, legislation, and fortification on community food and nutrient purchase patterns. ^

Assessing the relationship between obesity and type II diabetes among South Asian Indians in Houston A population based study

Objective: My study aimed at determining the association between obesity and diabetes prevalence in South Asian Indian immigrants in Houston, Texas. To also compare the prevalence odds of diabetes given obesity, using WHO-BMI criteria and recommended Asian ethnic-specific BMI criteria for obesity, as well as using WHO-standard waist circumference criteria and ethnic-specific criteria for abdominal obesity, across gender and age, in this population. ^ Methods: My study was a secondary data analysis based on a cross-sectional study carried out on adult South Asian Indians who attended a local community health fair in Houston, in 2007. They recruited 213 voluntary, eligible, South Asian Indian participants aged between 18 to 79 years. Self reported history of Diabetes was obtained and height, weight, waist and hip circumference were measured. I classified BMI based on WHO-standard and ethnic-specific criteria, according to gender and age groups of 18–35 years, 36–64 years and 65 years and over. Waist circumference was also classified based on WHO-standard NCEP criteria and currently recommended ethnic-specific IDF criteria and analysis was done stratifying by gender and age groups. ^ Results: The prevalence of diabetes in this population was 14.6%, significantly higher in older age groups (25.8%) and males (19.2%). The prevalence of DM was statistically similar in individuals who were overweight/obese compared to those not overweight/obese, however in overweight/obese individuals, there was a statistically significant difference in the prevalence of DM between WHO and ethnic-specific criteria for both BMI and waist circumference. In older adults and in males, ethnic-specific criteria identified significantly more as overweight/obese compared to WHO-standard criteria. ^ Conclusions: Ethnic-specific criteria for both BMI and waist circumference give a better estimate for obesity in this South Asian Indian population. Diabetes is highly prevalent in migrant South Asian Indians even at low BMI or waist circumference levels and significantly more in males and older age groups, hence adequate awareness should be created for early prevention and intervention.^