Presidential address: How to improve poverty measurement in the United States

This paper discusses the reasons why the current official U.S. poverty measure is outdated and nonresponsive to many anti-poverty initiatives. A variety of efforts to update and improve the statistic have failed, for political, technical, and institutional reasons. Meanwhile, the European Union is taking a very different approach to poverty measurement. The paper ends with four recommended steps that would allow the U.S. to improve its measurement of poverty and economic need.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/58071/1/20323_ftp.pd

Are quit attempts among U.S. female nurses who smoke different from female smokers in the general population? An analysis of the 2006/2007 tobacco use supplement to the current population survey

<p>Abstract</p> <p>Background</p> <p>Smoking is a significant women's health issue. Examining smoking behaviors among occupational groups with a high prevalence of women may reveal the culture of smoking behavior and quit efforts of female smokers. The purpose of this study was to examine how smoking and quitting characteristics (i.e., ever and recent quit attempts) among females in the occupation of nursing are similar or different to those of women in the general population.</p> <p>Methods</p> <p>Cross-sectional data from the Tobacco Use Supplement of the Current Population Survey 2006/2007 were used to compare smoking behaviors of nurses (n = 2, 566) to those of non-healthcare professional women (n = 93, 717). Smoking characteristics included years of smoking, number of cigarettes, and time to first cigarette with smoking within the first 30 minutes as an indicator of nicotine dependence. Logistic regression models using replicate weights were used to determine correlates of ever and previous 12 months quit attempts.</p> <p>Results</p> <p>Nurses had a lower smoking prevalence than other women (12.1% vs 16.6%, <it>p </it>< 0.0001); were more likely to have ever made a quit attempt (77% vs 68%, <it>p </it>= 0.0002); but not in the previous 12 months (42% vs 43%, <it>p </it>= 0.77). Among those who ever made a quit attempt, nurses who smoked within 30 minutes of waking, were more likely to have made a quit attempt compared to other women (OR = 3.1, 95% CI: 1.9, 5.1). When considering quit attempts within the last 12 months, nurses whose first cigarette was after 30 minutes of waking were less likely to have made a quit attempt compared to other females (OR = 0.69, 95% CI: 0.49, 0.98). There were no other significant differences in ever/recent quitting.</p> <p>Conclusions</p> <p>Smoking prevalence among female nurses was lower than among women who were not in healthcare occupations, as expected. The lack of difference in recent quit efforts among female nurses as compared to other female smokers has not been previously reported. The link between lower level of nicotine dependence, as reflected by the longer time to first cigarette, and lower quit attempts among nurses needs further exploration.</p

The potential of social indicators: Minimum conditions for impact at the national level as suggested by a study of the use of ‘social indicators’ 73

Empirical evidence is presented which suggests that the use of social indicators among upper level government officials in the United States is minimal at present. Further, the level of use is not likely to be increased by improved measurement procedures, aesthetically improved packaging, or more widespread dissemination of such information among persons who influence policy decisions. The power of such information can be expected to be no greater than that of ‘mere’ statistics unless deliberate effort is made to institutionalize the importance of social indicators into government operations in conjunction with policy planning, goal setting, and commitment to the use of indicators as a system of national evaluation of progress toward the achievement of societal objectives. Several recommendations are made to develop the potential of social indicators and to increase their creative and useful application in matters of public policy at the national level.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43692/1/11205_2004_Article_BF00352942.pd

A concept analysis of ‘Meaning in work’ and its implications for nursing

AimTo report an analysis of the concept of ‘meaning in work’.BackgroundAssociated with initiatives to improve the quality of working life and the emerging movement of positive organizations, ‘meaning in work’ has been studied as a positive individual‐level state. ‘Meaning in work’ has potential benefits that will improve the nursing workforce if this concept is embraced in nursing. However, the concept is not clearly defined because it has been approached from diverse theoretical perspectives and used interchangeably with analogous terms.DesignA concept analysis.Data sourcesThree key terms (using ‘work’, ‘meaning’ or ‘meaningful’, ‘meaning of work’, ‘logotherapy’) were searched in the CINAHL, PsycINFO, Business Source Complete and ABI/INFORM Global online databases from January 1940–March 2015. Among 346 articles retrieved, 28 studies were included for this concept analysis.MethodsThe procedure of concept analysis developed by Walker and Avant (2011) was used.ResultsFour critical attributes are identified: (1) experienced positive emotion at work; (2) meaning from work itself; (3) meaningful purpose and goals of work; and (4) work as a part of life that contributes towards meaningful existence. The identified antecedent of ‘meaning in work’ was a cognitive shift and the identified consequences were positive personal experience and positive impact on peers and organizations.ConclusionThis article provides a clear definition of ‘meaning in work’. The resulting coherent definition will facilitate the use of ‘meaning in work’ in nursing research.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/113683/1/jan12695.pd

The “over-educated” Kibbutz: Shifting relations between social reproduction and individual development on the Kibbutz

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42935/1/10780_2005_Article_BF01201513.pd

What Can We Learn about Smoking from 150 Years of Italian Data?

This paper estimates dynamic demand models for tobacco consumption in Italy from 1871 to 2010. The empirical analysis is based on an entirely new dataset. Because the tobacco sector was mostly managed by the state, rich and detailed historical documentation is available. Price elasticities are estimated both for aggregate tobacco consumption and its four major components (cigars, cigarettes, cut to- 25 bacco, and snuff) for three separate sub-periods: 1871–1913, 1919–1939, and 1946–2010. Elasticities consistently belong to a narrow set. We discuss the public policy implications of a seemingly iso-elastic tobacco demand function

Arsenic in drinking water and cerebrovascular disease, diabetes mellitus, and kidney disease in Michigan: a standardized mortality ratio analysis

BACKGROUND: Exposure to arsenic concentrations in drinking water in excess of 300 μg/L is associated with diseases of the circulatory and respiratory system, several types of cancer, and diabetes; however, little is known about the health consequences of exposure to low-to-moderate levels of arsenic (10–100 μg/L). METHODS: A standardized mortality ratio (SMR) analysis was conducted in a contiguous six county study area of southeastern Michigan to investigate the relationship between moderate arsenic levels and twenty-three selected disease outcomes. Disease outcomes included several types of cancer, diseases of the circulatory and respiratory system, diabetes mellitus, and kidney and liver diseases. Arsenic data were compiled from 9251 well water samples tested by the Michigan Department of Environmental Quality from 1983 through 2002. Michigan Resident Death Files data were amassed for 1979 through 1997 and sex-specific SMR analyses were conducted with indirect adjustment for age and race; 99% confidence intervals (CI) were reported. RESULTS: The six county study area had a population-weighted mean arsenic concentration of 11.00 μg/L and a population-weighted median of 7.58 μg/L. SMR analyses were conducted for the entire six county study area, for only Genesee County (the most populous and urban county), and for the five counties besides Genesee. Concordance of results across analyses is used to interpret the findings. Elevated mortality rates were observed for both males (M) and females (F) for all diseases of the circulatory system (M SMR, 1.11; CI, 1.09–1.13; F SMR, 1.15; CI, 1.13,-1.17), cerebrovascular diseases (M SMR, 1.19; CI, 1.14–1.25; F SMR, 1.19; CI, 1.15–1.23), diabetes mellitus (M SMR, 1.28; CI, 1.18–1.37; F SMR, 1.27; CI, 1.19–1.35), and kidney diseases (M SMR, 1.28; CI, 1.15–1.42; F SMR, 1.38; CI, 1.25–1.52). CONCLUSION: This is some of the first evidence to suggest that exposure to low-to-moderate levels of arsenic in drinking water may be associated with several of the leading causes of mortality, although further epidemiologic studies are required to confirm the results suggested by this ecologic SMR analysis

School crime and disruption as a function of student-school fit: An empirical assessment

A theoretical model is described which conceptualizes school crime and disruption as a function of the congruence or fit between the personal characteristics of students and the social environments of the schools they attend. In a direct empirical test of the model, indices representing 10 distinct dimensions of student-school fit are related to three composite measures of school misconduct: school crime, school avoidance, and class misbehavior. A number of significant relationships are found between dimensions of student-school fit and the three indices of school misbehavior, several of which manifest one of the nonlinear forms specified by the model, providing at least modest support for a person-environment fit theory of school crime and disruption.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45305/1/10964_2005_Article_BF02087987.pd