Gambling problems in treatment for affective disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

BACKGROUND: Gambling problems co-occur frequently with other psychiatric difficulties and may complicate treatment for affective disorders. This study evaluated the prevalence and correlates of gambling problems in a U. S. representative sample reporting treatment for mood problems or anxiety. METHODS: n=3007 respondents indicating past-year treatment for affective disorders were derived from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Weighted prevalence estimates were produced and regression analyses examined correlates of gambling problems. RESULTS: Rates of lifetime and past-year problem gambling (3+DSM-IV symptoms) were 3.1% (95% CI=2.4-4.0%) and 1.4% (95% CI=0.9-2.1%), respectively, in treatment for any disorder. Rates of lifetime problem gambling ranged from 3.1% (95% CI=2.3-4.3%) for depression to 5.4% (95% CI=3.2-9.0%) for social phobia. Past-year conditions ranged from 0.9% (95% CI=0.4-2.1%) in dysthymia to 2.4% (95% CI=1.1-5.3%) in social phobia. Higher levels were observed when considering a spectrum of severity (including 'at-risk' gambling), with 8.9% (95% CI=7.7-10.2%) of respondents indicating a history of any gambling problems (1+ DSM-IV symptoms). Lifetime gambling problems predicted interpersonal problems and financial difficulties, and marijuana use, but not alcohol use, mental or physical health, and healthcare utilisation. LIMITATIONS: Data were collected in 2001-02 and were cross-sectional. CONCLUSIONS: Gambling problems occur at non-trivial rates in treatment for affective disorders and have mainly psychosocial implications. The findings indicate scope for initiatives to identify and respond to gambling problems across a continuum of severity in treatment for affective disorders.

Stringency of workplace air contaminant exposure limits: a case study of OSHA risk management.

Political context may play a large role in influencing the efficiency of environmental and health regulations. This case study uses data from a 1989 update of the Occupational Safety and Health Administration (OSHA) Permissible Exposure Limits (PELs) program to determine the relative effects of legislative mandates, costly acquisition of information by the agency, and pressure applied by special interest groups upon exposure standards. The empirical analysis suggests that federal agencies successfully thwart legislative attempts to limit agency discretion, and that agencies exercise bounded rationality by placing greater emphasis on more easily obtained information. The 1989 PELs were less significantly related to more costly information, contained "safety factors" for chemicals presenting relatively more ambiguous risks, and the proposed standard stringencies showed evidence of being influenced by vying industry and labor interests.

Synthetic risks, risk potency, and carcinogen regulation.

This article analyzes a comprehensive sample of over 350 chemicals tested for carcinogenicity to assess the determinants of the probability of regulation. Controlling for differences in the risk potency and noncancer risks, synthetic chemicals have a significantly higher probability of regulation overall: this is due to the greater likelihood of U.S. Food and Drug Administration (FDA) regulation. Measures of risk potency increase the probability of regulation by the U.S. Environmental Protection Agency (EPA), have a somewhat weaker positive effect on regulation by the U.S. Occupational Safety and Health Administration (OSHA), and decrease the likelihood of regulation by the FDA. The overall regulatory pattern is one in which the FDA targets synthetic chemicals and chemicals that pose relatively minor cancer risk. The EPA particularly performed more sensibly than many critics have suggested.

Mortality risk perceptions: a Bayesian reassessment.

"This study uses data on perceived and actual mortality risks to test several alternative Bayesian models of the factors influencing risk beliefs. The analysis...indicates that while the hazard rate for the individual age group is an influential factor, the overall population death rate and the discounted expected number of life years lost due to the cause of death are also influential in affecting risk perceptions.... The predictive power of a linear perception model increases with the level of the risk and is least accurate for very small risks."