Addiction Rehab: Nicotine Related Brain Activity: The Influence of Smoking History and Blood Nicotine Levels, an Exploratory Study.
Nicotine related brain activity: The influence of smoking history and blood nicotine levels, an exploratory study.
Filed under: Addiction Rehab
Drug Alcohol Depend. 2012 Oct 29;
Yamamoto RT, Rohan ML, Goletiani N, Olson D, Peltier M, Renshaw PF, Mello NK
OBJECTIVE: In this study, we sought to explore brain activity in nicotine-dependent men in response to acute intravenous nicotine using pharmacological magnetic resonance imaging (phMRI). METHODS: phMRI was used to evaluate brain activity in response to 1.5mg/70kg intravenous nicotine or saline. The nicotine and saline were administered on different visits. The time courses of individual subjects’ nicotine levels were used as regressors to assess neural activity relating to the infusions. The influence of smoking history and physiological measures on the response to nicotine were also investigated. RESULTS: Greater lifetime exposure to cigarette smoking was significantly correlated with higher peak serum nicotine levels. PhMRI analysis of the differential response of nicotine compared to the saline condition showed distinctive activation patterns when analyzed with the (a) nicotine time course, (b) nicotine time course controlling for smoking history (pack years), and (c) pack years controlling for nicotine. CONCLUSIONS: These results suggest that smoking exposure history influences serum nicotine levels and the brain’s response to nicotine. Alterations in brain activity may be a result of vascular and neuro-adaptations involved in drug exposure and addiction.
HubMed – addiction
Using administrative health data to identify individuals with intellectual and developmental disabilities: a comparison of algorithms.
Filed under: Addiction Rehab
J Intellect Disabil Res. 2012 Nov 1;
Lin E, Balogh R, Cobigo V, Ouellette-Kuntz H, Wilton AS, Lunsky Y
BACKGROUND: Individuals with intellectual and developmental disabilities (IDD) experience high rates of physical and mental health problems; yet their health care is often inadequate. Information about their characteristics and health services needs is critical for planning efficient and equitable services. A logical source of such information is administrative health data; however, it can be difficult to identify cases with IDD in these data. The purpose of this study is to evaluate three algorithms for case finding of IDD in health administrative data. METHODS: The three algorithms were created following existing approaches in the literature which ranged between maximising sensitivity versus balancing sensitivity and specificity. The broad algorithm required only one IDD service contact across all available data and time periods, the intermediate algorithm added the restriction of a minimum of two physician visits while the narrow algorithm added a further restriction that the time period be limited to 2006 onward. The resulting three cohorts were compared according to socio-demographic and clinical characteristics. Comparisons on different subgroups for a hypothetical population of 50?000 individuals with IDD were also carried out: this information may be relevant for planning specialised treatment or support programmes. RESULTS: The prevalence rates of IDD per 100 were 0.80, 0.52 and 0.18 for the broad, intermediate and narrow algorithms, respectively. Except for ‘percentage with psychiatric co-morbidity’, the three cohorts had similar characteristics (standardised differences?0.1). More stringent thresholds increased the percentage of psychiatric co-morbidity and decreased the percentages of women and urban residents in the identified cohorts (standardised differences?=?0.12 to 0.46). More concretely, using the narrow algorithm to indirectly estimate the number of individuals with IDD, a practice not uncommon in planning and policy development, classified nearly 7000 more individuals with psychiatric co-morbidities than using the intermediate algorithm. CONCLUSIONS: The prevalence rate produced by the intermediate algorithm most closely approximated the reported literature rate suggesting the value of imposing a two-physician visit minimum but not restricting the time period covered. While the statistical differences among the algorithms were generally minor, differences in the numbers of individuals in specific population subgroups may be important particularly if they have specific service needs. Health administrative data can be useful for broad-based service planning for individuals with IDD and for population level comparisons around their access and quality of care. HubMed – addiction
Estrogen receptor ? gene (ESR1) polymorphisms associated with idiopathic premature ovarian failure in Chinese women.
Filed under: Addiction Rehab
Gynecol Endocrinol. 2012 Nov 2;
Liu L, Tan R, Cui Y, Liu J, Wu J
Objective: To evaluate the relationship between Estrogen receptor ? gene (ESR1) polymorphisms and idiopathic premature ovarian failure (POF) in Chinese women. Methods: 155 idiopathic POF and 150 healthy controls were recruited in this study. All subjects were analyzed at the PvuII and XbaI loci of the ESR1 gene using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP). Results: The frequency of the P allele of the PvuII polymorphisms was 38.1% in POF women, which was significantly higher than controls (28.0%) (p = 0.008). And for the XbaI polymorphisms, the X allele was 21.0% in POF patients, compared to 13.3% in control women (p = 0.013). Carriers of the PP genotype had higher increased risk of POF than those of the pp genotypes (p = 0.011), whereas in three genotypes of the XbaI polymorphisms, no difference was found in the prediction value of POF. In addiction, the P-X haplotype was associated with a significantly increased risk for idiopathic POF. Conclusion: These data suggest that the PvuII and XbaI polymorphisms of ESR1 gene are associated with POF, which may be a potential genetic risk factor of idiopathic POF. More researches are needed to determine whether the findings are generalizable to other populations.
HubMed – addiction
Malibu Beach Recovery Center Drug and Alcohol Rehab – Kathy – www.malibubeachrecoverycenter.com Malibu Beach Recovery Center Drug and Alcohol Rehab staff member Kathy Leigh Willis, PhD, Executive Director, discusses the The Malibu Beach Recovery Center. The Malibu Beach Recovery Center uses a neuro-biological approach to restore and balance the chemistry of the brain, and rejuvenate the body’s natural reward system. This system utilizes very specific natural nutritional food supplements in combination with carefully selected yoga-type exercises and a low glycemic Recovery Diet to create a solid foundation for long-term recovery. Clients quickly and efficiently achieve a sense of comfort and well-being, allowing them to get the full benefit of daily educational groups, individual therapy and 12-Step work.
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