The co-occurrence of anemia and cardiometabolic disease risk demonstrates sex-specific sociodemographic patterning in an urbanizing rural region of southern India.

BACKGROUND/OBJECTIVES: To determine the extent and sociodemographic determinants of anemia, overweight, metabolic syndrome (MetS) and the co-occurrence of anemia with cardiometabolic disease risk factors among a cohort of Indian adults. SUBJECT/METHODS: Cross-sectional survey of adult men (n=3322) and nonpregnant women (n=2895) aged 18 years and older from the third wave of the Andhra Pradesh Children and Parents Study that assessed anemia, overweight based on body mass index, and prevalence of MetS based on abdominal obesity, hypertension and blood lipid and fasting glucose measures. We examined associations of education, wealth and urbanicity with these outcomes and their co-occurrence. RESULTS: The prevalence of anemia and overweight was 40% and 29% among women, respectively, and 10% and 25% among men (P<0.001), respectively, whereas the prevalence of MetS was the same across sexes (15%; P=0.55). The prevalence of concurrent anemia and overweight (9%), and anemia and MetS (4.5%) was highest among women. Household wealth was positively associated with overweight and MetS across sexes (P<0.05). Independent of household wealth, higher education was positively correlated with MetS among men (odds ratio (95% confidence interval): MetS: 1.4 (0.99, 2.0)) and negatively correlated with MetS among women (MetS: 0.54 (0.29, 0.99)). Similar sex-specific associations were observed for the co-occurrence of anemia with overweight and MetS. CONCLUSIONS: Women in this region of India may be particularly vulnerable to co-occurring anemia and cardiometabolic risk, and associated adverse health outcomes as the nutrition transition advances in India.

The WOC nurse in home care.

Visiting nurses have provided care to people in their homes for more than a century. Although their role has changed dramatically during the past 100 years, home care nurses remain committed to the key principle of promoting health and welfare while sustaining the values of patient and the home. Patients referred for home care today have increasingly complex and extensive needs. Financial constraints imposed by the government and insurance carriers have accelerated the need for efficiency and excellence in communication, coordination of care, and management of these patients. The WOC/ET nurse practicing in home care can play an invaluable role in promoting positive patient outcomes, developing patient care policies and treatment plans, and establishing standards of care for patients receiving care for chronic wounds, ostomies, or incontinence.

Reliability of static standing balance in nondisabled children: comparison of two methods of measurement.

Static standing balance is commonly measured with research laboratory systems (LabSys) or clinical systems (ClinSys). The purposes of this study were to (1) assess the reliability of two systems designed to measure static standing balance in nondisabled children, (2) compare the findings derived from the two systems of measurement, and (3) examine the relationship between anthropometric measures and postural sway. Twenty-five nondisabled children (12 male, 13 female) ages 1 year 11 months to 12 years 2 months (mean = 6 years 4 months; SD = 4 years 3 months) participated in the study. Each child stood on the LabSys and the ClinSys for three consecutive 10 second measurement periods. Intraclass correlation coefficients (ICC (2, 1)) for the three trials on each system were 0.62 (LabSys) and 0.63 (ClinSys). The level of agreement between the two systems was 0.61 (ICC (2, 1)). Younger children exhibited more variability and less agreement between measurement trials using the ClinSys. However, older children demonstrated more similar sway indices when comparing the two systems of measurement. Two-way analysis of variance indicated that there were significant differences between sway indices measured by the two systems (p < 0.01) and between the youngest children (aged 2-4 years) and all other children (p < 0.01). In addition, agreement among trials for the two systems was different depending on the age group measured. Correlation coefficients for sway index and age, height, weight, and foot length ranged from -0.52 to -0.64 for the LabSys (p < 0.01) and -0.62 to -0.73 for the Clin-Sys (p < 0.01). Stepwise multiple regression analysis indicated that height was the most significant predictor of sway when measured by the ClinSys (R2 = 0.536, p < 0.01) whereas age was the most significant predictor when sway was measured using the LabSys (R2 = 0.403, p < 0.01). The results suggest that the degree of postural sway and the reliability of the measurement itself are influenced by the age of the child and the measurement system employed.