American Indian and Alaska Native peoples (AI/AN) have a disproportionately high rate of obesity, but little is known about the social determinants of obesity among older AI/AN. Thus, our study assessed social determinants of obesity in AI/AN aged ≥ 50 years.

We conducted a cross-sectional analysis using multivariate generalised linear mixed models to identify social determinants associated with the risk of being classified as obese (BMI ≥ 30·0 kg/m2). Analyses were conducted for the total study population and stratified by median county poverty level.

Indian Health Service (IHS) data for AI/AN who used IHS services in FY2013.

Totally, 27 696 AI/AN aged ≥ 50 years without diabetes.

Mean BMI was 29·8 ± 6·6 with 43 % classified as obese. Women were more likely to be obese than men, and younger ages were associated with higher obesity risk. While having Medicaid coverage was associated with lower odds of obesity, private health insurance was associated with higher odds. Living in areas with lower rates of educational attainment and longer drive times to primary care services were associated with higher odds of obesity. Those who lived in a county where a larger percentage of people had low access to a grocery store were significantly less likely to be obese.

Our findings contribute to the understanding of social determinants of obesity among older AI/AN and highlight the need to investigate AI/AN obesity, including longitudinal studies with a life course perspective to further examine social determinants of obesity in older AI/AN.

Two pilot studies were conducted to produce efficacy data on an observational tool designed to assess the use of Universal Precautions (UP) in patient care settings. The instrument addresses barrier precautions, hand-washing, handling of sharps, and avoidance of unprotected mouth to mouth resuscitation.

The Universal Precautions Assessment Tool was submitted to a panel of 3 experts to establish consensual validity. It was pilot tested by 2 simultaneous observers to establish interrater reliability.

Pilot Study I was conducted in 3 different units within a 100-bed U.S. Army hospital. Pilot Study II was conducted in the emergency department of a large university-based hospital.

Subjects observed were registered nurses providing acute patient care.

Two simultaneous raters calculated UP compliance rates of 76.4% and 78.6%, respectively, for 9 nurses in Pilot Study I, and 62% and 65%, respectively, for 5 nurses in Pilot Study II. The intraclass correlation coefficient for the raters' scores in Pilot Study I was 0.992 with a 95% confidence interval (0.979, 0.997). Consensual validity was established.

The instrument has acceptable interrater reliability under the conditions used. Limitations to use include the possibility of a Hawthorne effect and the fact that assessing proper implementation of UP occasionally relies on a “judgment call” by the observer. With test conditions adjusted to minimize these limitations and with proper consideration of sample size, the tool can be used by researchers and by monitors of hospital quality control to measure UP compliance of caregivers individually or collectively.