7 results match your criteria: "stanek@schoolph.umass.edu.[Affiliation]"

Estimating the range of the maximum hormetic stimulatory response.

Environ Res

March 2019

Department of Environmental Health Sciences, University of Massachusetts, Morrill I, N344, Amherst, MA, USA. Electronic address:

An ever-expanding hormetic database (HDB) was used to demonstrate that the median maximal hormetic stimulatory response (MHSR) of biphasic dose-response relationships increases in value with an increase in the number of stimulatory doses/concentrations that are administered below the estimated threshold/ZEP (zero equivalent point - i.e., the dose where the response crosses the control group value).

View Article and Find Full Text PDF

Background: The proportion of women entering pregnancy overweight or obese has been rising and, in turn, is associated with adverse maternal and fetal outcomes. Gestational weight gain (GWG) exceeding Institute of Medicine (IOM) guidelines further increases health risks and has been independently associated with postpartum weight retention. Hispanic women are disproportionately affected by overweight and obesity, but have had limited access to interventions that promote healthy lifestyles due to cultural, socioeconomic, and language barriers.

View Article and Find Full Text PDF

The impact of an exercise intervention on C - reactive protein during pregnancy: a randomized controlled trial.

BMC Pregnancy Childbirth

June 2015

Department of Biostatistics & Epidemiology, School of Public Health & Health Sciences, University of Massachusetts, Amherst, MA, USA.

Background: C-reactive protein (CRP) during pregnancy has been associated with adverse maternal outcomes such as preeclampsia and gestational diabetes mellitus. Randomized trials suggest that exercise programs may be associated with reductions in CRP in non-pregnant populations; however, such studies have not been conducted among pregnant women. The purpose of this study was to evaluate the impact of an individually-tailored motivationally-matched exercise intervention on CRP in pregnant women.

View Article and Find Full Text PDF

Bioavailability of arsenic in soil: pilot study results and design considerations.

Hum Exp Toxicol

November 2010

Division of Biostatistics and Epidemiology, School of Public Health & Health Sciences, Arnold House, University of Massachusetts, Amherst, Massachusetts 01003, USA.

Bioavailability of arsenic (As) from ingested soil is estimated in a two-period experimental study involving 11 subjects/period. In the first period, a 7-day mass-balance study measured As in food/beverages, urine, and stool to estimate bioavailability of As in food and beverages. Food/beverage As bioavailability (percentage ingested that is not in stool samples) is estimated as 91.

View Article and Find Full Text PDF

Predicting Random Effects with an Expanded Finite Population Mixed Model.

J Stat Plan Inference

October 2008

Department of Public Health, 401 Arnold House, University of Massachusetts, 715 North Pleasant Street, Amherst, MA 01003-9304 USA,

Daily soil ingestion estimates for children at a Superfund site.

Risk Anal

October 2000

Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst 01002, USA.

Ingestion of contaminated soil by children may result in significant exposure to toxic substances at contaminated sites. Estimates of such exposure are based on extrapolation of short-term-exposure estimates to longer time periods. This article provides daily estimates of soil ingestion on 64 children between the ages of 1 and 4 residing at a Superfund site; these values are employed to estimate the distribution of 7-day average soil ingestion exposures (mean, 31 mg/day; median, 17 mg/day) at a contaminated site over different time periods.

View Article and Find Full Text PDF

Why not routinely use best linear unbiased predictors (BLUPs) as estimates of cholesterol, per cent fat from kcal and physical activity?

Stat Med

November 1999

404 Arnold House, Department of Biostatistics and Epidemiology, University of Massachusetts at Amherst, MA 01002, USA.

Measures of biologic and behavioural variables on a patient often estimate longer term latent values, with the two connected by a simple response error model. For example, a subject's measured total cholesterol is an estimate (equal to the best linear unbiased estimate (BLUE)) of a subject's latent total cholesterol. With known (or estimated) variances, an alternative estimate is the best linear unbiased predictor (BLUP).

View Article and Find Full Text PDF