ABSTRACT
Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes.
Subject(s)
Blood Glucose , Population Groups , Body Mass Index , Cohort Studies , Humans , Outcome Assessment, Health Care , Risk FactorsABSTRACT
BACKGROUND: Though inconsistent, there is evidence that sun exposure is associated with reduced breast cancer risk. Previous studies have been conducted in geographical regions with seasonal variation in UV radiation, including periods of low to no exposure, and among participants mostly of European descent. Puerto Rico has no significant seasonal fluctuation, with continuous exposure to very high UV radiation. METHODS: We conducted a population-based case-control study of breast cancer among women in metropolitan San Juan, Puerto Rico, examining a cumulative sun exposure index (SEI) based on a comparison of reflectance of sun-exposed and non-exposed skin. A chromameter was used to measure skin reflectance and estimate the difference between constitutive (unexposed) and facultative (exposed) skin pigmentation in 307 cases and 328 controls. Breast cancer risk factors were ascertained with interviewer-administered questionnaires. OR and 95% confidence intervals (CI) were estimated with unconditional logistic regression. RESULTS: Adjusted breast cancer odds were lower for the highest tertile of the SEI (ORadj = 0.47; 95% CI, 0.29-0.74). Results were similar within strata of estrogen receptor status. In analyses stratified by constitutive skin pigmentation, among participants with darker skin color, breast cancer risk was lower with more sun exposure (ORadj = 0.33; 95% CI, 0.16-0.70). CONCLUSIONS: We found lower risk of breast cancer associated with greater sun exposure in a population living with high, continuous sun exposure. This beneficial finding should be placed in the context of other effects of sun exposure. IMPACT: Sun exposure is a modifiable factor that may contribute, directly or indirectly, to lower breast cancer risk.
Subject(s)
Breast Neoplasms/epidemiology , Sunlight , Adult , Aged , Case-Control Studies , Female , Humans , Middle Aged , Puerto Rico/epidemiology , Risk AssessmentABSTRACT
Global breast cancer incidence varies considerably, particularly in comparisons of low- and high-income countries; rates may vary even within regions. Breast cancer rates for Caribbean countries are generally lower than for North America and Europe. Rates in Puerto Rico are in the middle of the range between the highest and the lowest Caribbean countries. Populations in transition, with greater variability in risk factor exposures, provide an important opportunity to better understand breast cancer etiology and as potential sources of variation in rates. Understanding of exposures across the life span can potentially contribute to understanding regional differences in rates. We describe here the design and implementation of a population-based, case-control study in the San Juan Metropolitan Area (SJMA) of Puerto Rico, the Atabey Epidemiology of Breast Cancer Study. We describe steps taken to ensure that the study was culturally appropriate, leveraging the Atabey researchers' understanding of the culture, local health system, and other required resources to effectively recruit participants. A standardized, in-person interview was developed, with attention to life course events customized to the study population. In order to understand variation in global breast cancer rates, studies customized to the populations outside of North America and Europe are required.
Subject(s)
Breast Neoplasms , Breast Neoplasms/epidemiology , Case-Control Studies , Female , Humans , Pregnancy , Puerto Rico/epidemiology , Risk FactorsABSTRACT
Mammography for low-income women is an important intervention issue as it is still under utilized in these sectors. Despite evidence in favor of breast cancer screening with mammograms, research indicates that mammogram compliance among low-income females and women over 50 years of age has been slow. This article revolves around the factors that affect compliance with screening mammograms among low-income women ages 40 to 64 in Puerto Rico once they receive a referral from a physician. Although the multivariate analysis demonstrated that only age, work outside of the home and performing breast self-exams significantly increased the probability for middle-aged, low-income women in Puerto Rico to comply with referrals and have mammograms, this research illustrated that certain factors such as knowledge about the disease and screening practices, a satisfactory perception of the patient-physician relationship, and the performance of a clinical breast exam by a physician influence mammogram compliance.
