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Objectives. We analyzed singleton births to determine the relationship between birth weight and altitude exposure. Methods. We analyzed 715 213 singleton births across 74 counties from the western states of Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, and Washington from January 1, 2000, to December 31, 2000. Birth data were obtained from the Division of Vital Statistics, National Center for Health Statistics, for registered births. Results. Regression analyses supported previous research by showing that a 1000-meter increase in maternal altitude exposure in pregnancy was associated with a 75.9-gram reduction in birth weight (95% confidence interval = -84.1, -67.6). Quantile regression models indicated significant and near-uniform depressant effects from altitude exposure across the conditional distribution of birth weight. Bivariate sample-selection models showed that a 1000-meter increase in altitude exposure, over and above baseline residential altitude, decreased birth weight by an additional 58.8 grams (95% confidence interval = -98.4, -19.2). Conclusions. Because of calculable health care-related costs associated with lower birth weight, our reported results might be of interest to clinicians practicing at higher altitudes. [ABSTRACT FROM AUTHOR]

Abstract: Public land designations have been shown to have significant impact on their contextual regional economies. This paper reviews the existing literature on how public lands impact the proximate regional economies in which they are situated. Based on this collected wisdom the paper synthesizes past lessons into a comprehensive impact methodology. This methodology distinguishes quality effects in terms of visitors’ willingness to pay for sites of higher quality and quantity effects in terms of additional visitation to such sites to give a more comprehensive methodology for characterizing visitation and economic impact of protected area designation. We focus on National Monuments and National Parks, given that these two types of public lands have the broadest popular exposure and feature the most reliable data. A case study is then presented for a hypothetical protected area in Ferry County, Washington, USA, applying this new methodology to assess the likely economic effects of different types of protected areas. [Copyright &y& Elsevier]