Associations of rural residence with timing of HIV diagnosis and stage of disease at diagnosis, South Carolina 2001-2005.

CONTEXT: Rural areas in the southern United States face many challenges, including limited access to health care services and stigma, which may lead to later HIV diagnosis among rural residents. PURPOSE: To investigate the associations of rural residence with timing of HIV diagnosis and stage of disease at diagnosis. METHODS: Timing of HIV diagnosis was categorized as a diagnosis of acquired immune deficiency syndrome within 1 year of a first positive HIV test or HIV-only. Stage of disease was based on initial CD4+ T-cell count taken within 1 year of diagnosis. County of residence at HIV diagnosis was classified as urban if the population of the largest city was at least 25,000; it was classified as rural otherwise. Logistic regression was used to analyze timing of HIV diagnosis, and analysis of covariance was used to analyze stage of disease. FINDINGS: From 2001 to 2005, 4,137 individuals were diagnosed with HIV infection. Of these, 1,129 (27%) were rural and 3,008 (73%) were urban residents. Among rural residents, 533 (47%) were diagnosed late, compared with 1,258 (42%) urban residents. Rural residents were significantly more likely to be diagnosed late (OR 1.19 [95% CI, 1.02-1.38]). Rural residence was associated with lower initial CD4+ T-cell count in crude analysis (P= .01) but not after adjustment (P > .05). CONCLUSIONS: Rural residence is a risk factor for late HIV diagnosis. This may lead to reduced treatment response to antiretroviral medications, increased morbidity and mortality, and greater HIV transmission risks among rural residents. New testing strategies are needed that address challenges to HIV testing and diagnosis specific to rural areas.

A routine HIV screening program in a South Carolina community health center in an area of low HIV prevalence.

In 2006, the Centers for Disease Control and Prevention published guidelines for routine HIV screening in healthcare settings. Feasibility studies have demonstrated that screening is effective in high-volume, urban settings, but there are no data for smaller, more rural settings. The main objective of this study was to describe a routine HIV screening program at a community health center in South Carolina serving both urban and rural populations. Margaret J. Weston Community Health Center implemented routine HIV screening using rapid tests at its three locations on December 1, 2006. All individuals utilizing this center over the age of 13 years were screened for HIV unless they opted out. Nurses completed a survey about their experiences with the program. chi(2) tests and logistic regression models were used to analyze the data. In the first 8 months, among 985 eligible visits, 574 (58%) resulted in the patient being screened. The most common reason for refusal was "doesn't think s/he is at risk." Acceptance rates differed significantly by location (p = 0.01), from 62% in the urban site to 47% in the rural site. Other significant predictors of accepting HIV testing were race/ethnicity, age, and method of payment. Three hundred twenty-four (58%) individuals who were tested reported no history of being previously tested for HIV infection. Participation in the screening program was perceived favorably by nurses. This pilot project in a South Carolina community health center demonstrates that implementation of routine HIV screening is acceptable in small healthcare settings and in smaller cities and rural communities in the South.

Food intake patterns associated with incident type 2 diabetes: the Insulin Resistance Atherosclerosis Study.

OBJECTIVE: Markers of hemostasis and inflammation such as plasminogen activator inhibitor-1 (PAI-1) and fibrinogen have been associated with risk of type 2 diabetes. We aimed to identify food intake patterns influencing this pathway and evaluate their association with incident diabetes. RESEARCH DESIGN AND METHODS: The Insulin Resistance Atherosclerosis Study cohort included 880 middle-aged adults initially free of diabetes. At the 5-year follow-up, 144 individuals had developed diabetes. Usual dietary intake was ascertained with a 114-item food frequency questionnaire. Using reduced rank regression, we identified a food pattern maximizing the explained variation in PAI-1 and fibrinogen. Subsequently, the food pattern-diabetes association was evaluated using logistic regression. RESULTS: High intake of the food groups red meat, low-fiber bread and cereal, dried beans, fried potatoes, tomato vegetables, eggs, cheese, and cottage cheese and low intake of wine characterized the pattern, which was positively associated with both biomarkers. With increasing pattern score, the odds of diabetes increased significantly (Ptrend < 0.01). After multivariate adjustment, the odds ratio comparing extreme quartiles was 4.3 (95% CI 1.7-10.8). Adjustment for insulin sensitivity and secretion and other metabolic factors had little impact (4.9, 1.8-13.7). CONCLUSIONS: Our findings provide support for potential behavioral prevention strategies, as we identified a food intake pattern that was strongly related to PAI-1 and fibrinogen and independently predicted type 2 diabetes.

Food store types, availability, and cost of foods in a rural environment.

OBJECTIVE: To characterize the built nutritional environment in terms of types and number of food stores, availability, and cost of selected food items in a rural area. DESIGN: A cross-sectional survey of food stores conducted in 2004. SUBJECTS/SETTING: We selected a rural county (population 91,582; 1,106 square miles). Food stores identified from a database were mapped and presence, location, and store type verified by ground-truthing. Stores were surveyed for availability and cost of selected foods. MAIN OUTCOME MEASURES: Price and availability of a limited number of staple foods representing the main food groups. STATISTICAL ANALYSES PERFORMED: Availability comparisons used least square means models and price comparisons used t tests. RESULTS: Of 77 stores identified, 16% were supermarkets, 10% grocery stores, and 74% convenience stores. There were seven stores per 100 square miles and eight stores per 10,000 residents. Availability of more healthful foods was substantially higher at supermarkets and grocery stores. For instance, low-fat/nonfat milk, apples, high-fiber bread, eggs, and smoked turkey were available in 75% to 100% of supermarkets and groceries and at 4% to 29% of convenience stores. Foods that were available at both supermarkets and convenience stores tended to be substantially more expensive at convenience stores. The healthful version of a food was typically more expensive than the less healthful version. CONCLUSIONS: In this rural environment, stores offering more healthful and lower-cost food selections were outnumbered by convenience stores offering lower availability of more healthful foods. Our findings underscore the challenges of shopping for healthful and inexpensive foods in rural areas.