The wildland-urban interface (WUI) is the area where houses and wildland vegetation meet or intermingle, and where wildfire problems are most pronounced. Here we report that the WUI in the United ...States grew rapidly from 1990 to 2010 in terms of both number of new houses (from 30.8 to 43.4 million; 41% growth) and land area (from 581,000 to 770,000 km²; 33% growth), making it the fastest-growing land use type in the conterminous United States. The vast majority of new WUI areas were the result of new housing (97%), not related to an increase in wildland vegetation. Within the perimeter of recent wildfires (1990–2015), there were 286,000 houses in 2010, compared with 177,000 in 1990. Furthermore, WUI growth often results in more wildfire ignitions, putting more lives and houses at risk. Wildfire problems will not abate if recent housing growth trends continue.
Although increases in obesity over the past 30 years have adversely affected the health of the U.S. population, there have been concomitant improvements in health because of reductions in smoking. ...Having a better understanding of the joint effects of these trends on longevity and quality of life will facilitate more efficient targeting of health care resources.
For each year from 2005 through 2020, we forecasted life expectancy and quality-adjusted life expectancy for a representative 18-year-old, assuming a continuation of past trends in smoking (based on data from the National Health Interview Survey for 1978 through 1979, 1990 through 1991, 1999 through 2001, and 2004 through 2006) and past trends in body-mass index (BMI) (based on data from the National Health and Nutrition Examination Survey for 1971 through 1975, 1988 through 1994, 1999 through 2002, and 2003 through 2006). The 2003 Medical Expenditure Panel Survey was used to examine the effects of smoking and BMI on health-related quality of life.
The negative effects of increasing BMI overwhelmed the positive effects of declines in smoking in multiple scenarios. In the base case, increases in the remaining life expectancy of a typical 18-year-old are held back by 0.71 years or 0.91 quality-adjusted years between 2005 and 2020. If all U.S. adults became nonsmokers of normal weight by 2020, we forecast that the life expectancy of an 18-year-old would increase by 3.76 life-years or 5.16 quality-adjusted years.
If past obesity trends continue unchecked, the negative effects on the health of the U.S. population will increasingly outweigh the positive effects gained from declining smoking rates. Failure to address continued increases in obesity could result in an erosion of the pattern of steady gains in health observed since early in the 20th century.
In this brief communication we provide the rationale for and the outcome of the International Astronomical Union (IAU) resolution vote at the XXIXth General Assembly in Honolulu, Hawaii, in 2015, on ...recommended nominal conversion constants for selected solar and planetary properties. The problem addressed by the resolution is a lack of established conversion constants between solar and planetary values and SI units: a missing standard has caused a proliferation of solar values (e.g., solar radius, solar irradiance, solar luminosity, solar effective temperature, and solar mass parameter) in the literature, with cited solar values typically based on best estimates at the time of paper writing. As precision of observations increases, a set of consistent values becomes increasingly important. To address this, an IAU Working Group on Nominal Units for Stellar and Planetary Astronomy formed in 2011, uniting experts from the solar, stellar, planetary, exoplanetary, and fundamental astronomy, as well as from general standards fields to converge on optimal values for nominal conversion constants. The effort resulted in the IAU 2015 Resolution B3, passed at the IAU General Assembly by a large majority. The resolution recommends the use of nominal solar and planetary values, which are by definition exact and are expressed in SI units. These nominal values should be understood as conversion factors only, not as the true solar/planetary properties or current best estimates. Authors and journal editors are urged to join in using the standard values set forth by this resolution in future work and publications to help minimize further confusion.
To understand the cost burden of medical care it is essential to partition medical spending into conditions. Two broad strategies have been used to measure disease-specific spending. The first ...attributes each medical claim to the condition that physicians list as its cause. The second decomposes total spending for a person over a year to their cumulative set of health conditions. Traditionally, this has been done through regression analysis. This paper has two contributions. First, we develop a new cost attribution method to attribute spending to conditions using a more flexible attribution approach, based on propensity score analysis. Second, we compare the propensity score approach to the claims-based approach and the regression approach in a common set of beneficiaries age 65 and older in the 2009 Medicare Current Beneficiary Survey. Our estimates show that the three methods have important differences in spending allocation and that the propensity score model likely offers the best theoretical and empirical combination.
In June 2016, California implemented a Tobacco 21 (T21) policy that increased the minimum sale age of tobacco products from 18 to 21. This study examined the association between California's T21 ...policy and smoking behavior (ever, current, daily, and nondaily) in 18–20 year-olds using data from the 2012–2019 Behavioral Risk Factor Surveillance System (n = 15,863). The annual change in odds of smoking among 18–20 year-olds post-policy (July 2016–December 2019) was compared with the pre-policy period (January 2012 – June 2016) 1) within California and 2) compared with states without a T21 policy. As a sensitivity analysis, 21–23 year-olds in California were used as the referent. Difference-in-difference estimates (D-I-D) were calculated using adjusted logistic regression and compared the post to pre-policy change in trends in California to the referent groups.
Before California's T21 policy, there was an 11% annual decrease in the odds of ever smoking among 18–20 year-olds in California and a 6% decrease in the referent states. After the policy, these trends did not change significantly. Results for current smoking were similar. For daily smoking, there was an 8% annual decrease before the policy and a 26% annual decrease after the policy among 18–20 year-olds in California; D-I-D estimates were 0.80 (95% CI: 0.57, 1.14) using referent states as the comparison and 0.62 (95% CI: 0.41, 0.95) using 21–23 year-olds in California as the comparison. There was an association between California's T21 policy and a decrease in daily smoking among 18–20 year-olds, compared with 21–23 year-olds, more than three years post-implementation.
•California implemented a Tobacco 21 policy in June 2016.•California's Tobacco 21 policy was associated with a decrease in daily smoking, compared to 21–23 year-olds in California.•California's Tobacco 21 policy was not associated with a decrease in current or ever smoking.•May be due to already declining smoking or enforcement challenges.
Abstract Purpose To examine the relationship between family structure, nonresident father involvement, and adolescent eating patterns. Methods Analyses were performed on data from Waves 1 and 2 of ...the National Longitudinal Study of Adolescent Health (Wave 1, N = ∼15,550; Wave 2, N = ∼11,540), and a subsample of adolescents from each wave who had a nonresident father (Wave 1, N = ∼3,745; Wave 2, N = 2,358). Multivariate regression provides estimates of the independent effects of family structure and nonresident father involvement on adolescent eating patterns while controlling for potentially confounding sociodemographic characteristics. Results Compared with children in traditional households (i.e., two biological or adoptive parents), adolescents in nontraditional family households (single parent, step-parent, no parent) were more likely to display unhealthy eating habits such as skipping breakfast and lunch, eating fewer vegetables, consuming more fast food, and had less parental monitoring of meals. Nonresident father involvement was associated with an increased frequency of eating breakfast and lunch and increased consumption of vegetables (Wave 1) but did not affect adolescents’ consumption of fast food. Child support was positively associated with the odds that adolescents would consume dinner. Conclusions Adolescents in living in nontraditional families were more likely than adolescents living with two biological/adoptive parents to display unhealthy eating habits. Nonresident father involvement was generally associated with healthier eating patterns. Health professionals should keep in mind that children's and adolescents’ living arrangements can be complex and have the potential to affect what and how they eat.
Protected areas are crucial for biodiversity conservation because they provide safe havens for species threatened by land-use change and resulting habitat loss. However, protected areas are only ...effective when they stop habitat loss within their boundaries, and are connected via corridors to other wild areas. The effectiveness of protected areas is threatened by development; however, the extent of this threat is unknown. We compiled spatially-detailed housing growth data from 1940 to 2030, and quantified growth for each wilderness area, national park, and national forest in the conterminous United States. Our findings show that housing development in the United States may severely limit the ability of protected areas to function as a modern "Noah's Ark." Between 1940 and 2000, 28 million housing units were built within 50 km of protected areas, and 940,000 were built within national forests. Housing growth rates during the 1990s within 1 km of protected areas (20% per decade) outpaced the national average (13%). If long-term trends continue, another 17 million housing units will be built within 50 km of protected areas by 2030 (1 million within 1 km), greatly diminishing their conservation value. US protected areas are increasingly isolated, housing development in their surroundings is decreasing their effective size, and national forests are even threatened by habitat loss within their administrative boundaries. Protected areas in the United States are thus threatened similarly to those in developing countries. However, housing growth poses the main threat to protected areas in the United States whereas deforestation is the main threat in developing countries.
University community members are critical to the success of their smoke and tobacco free (STF) policies. The present study evaluates changes in social enforcement-related attitudes and behaviors ...following introduction of a new online Tobacco Tracker tool in two university settings.
Campus wide surveys were administered to current students, faculty, and staff at two California public universities with 100% STF policies before (November 2018; N = 5078) and after (December 2019-January 2020; N = 4853) introduction of Tobacco Tracker in February 2019. Prospective surveillance reports over 12 months from Tobacco Tracker, a GIS tool for the campus community to report tobacco use and related litter that displays crowdsourced maps of hotspots, were analyzed. Outcomes included awareness and self-reported use of a tobacco reporting tool, readiness for policy social enforcement, an Intellectual Social Affective (ISA) Engagement scale, and environmental surveillance reports from Tobacco Tracker.
In campus surveys, awareness of a tobacco reporting tool doubled (8.0%-16.9%, p < .0001), use of an online reporting tool tripled (1.1%-3.2%, p < .0001), and readiness to enforce the policy increased (p = .0008). ISA engagement did not change (p = .72). In Tobacco Tracker campus reports (N = 1163), active tobacco use was reported more frequently than tobacco-related litter.
Tobacco Tracker is a promising tool for college communities to support STF policy. Introduction of Tobacco Tracker was associated with an increase in campus awareness and utilization of a reporting tool, readiness to enforce policy, and campus tobacco surveillance. Future research should determine how Tobacco Tracker may improve policy compliance.
Tobacco Tracker is a promising tool for college communities to support smoke and tobacco free (STF) policy through active surveillance of smoking, vaping, and related litter on campus. Introduction of Tobacco Tracker was associated with changes in social enforcement-related attitudes and behaviors critical to realizing the preventive potential of STF policies. A crowdsourcing-based tool for monitoring tobacco use on college campuses can address a major barrier to social enforcement: discomfort confronting tobacco users. Further, it provides an alternative to punitive enforcement approaches and promises a sustainable solution to an infrastructure issue faced by many universities lacking resources to collect data on campus tobacco use and related litter.
PDF
