Pain-Related Anxiety as a Predictor of Early Lapse and Relapse to Cigarette Smoking

Pain-related anxiety has been positively associated with tobacco dependence, smoking motives, self-reported barriers to smoking cessation, and expectancies for negative affect reduction via smoking. Although emerging research suggests that pain-related anxiety may play a role in the maintenance of tobacco dependence, no previous work has examined pain-related anxiety as a predictor of smoking cessation outcomes. The goal of the current study was to test the hypothesis that pain-related anxiety would predict early lapse and relapse to cigarette smoking among a sample of 55 daily tobacco smokers who participated in an unaided cessation attempt (i.e., without psychosocial or pharmacological intervention). Pain-related anxiety was assessed at baseline using the PASS-20, which yields a total score that ranges from 0-100. Number of days to early lapse (i.e., any instance of smoking during the first 14 days post-quit) and early relapse (i.e., 7 consecutive days of smoking that began during the first 28 days post-quit) were assessed using timeline follow-back procedures. Cox regression analyses indicated that pain-related anxiety was a significant predictor of both early smoking lapse and relapse, such that for every one point increase on the PASS-20, the risk of early lapse increased by 3.7% and the risk of early relapse increased by 3.6%. These effects were evident above and beyond the variance accounted for by tobacco dependence, past four-week pain severity, anxiety sensitivity, and the presence of current Axis I psychopathology. Kaplan-Meier survival analyses further revealed that among early lapsers, greater pain-related anxiety predicted a more rapid trajectory to lapse. Pain-related anxiety was also shown to be a significant predictor of early lapse when the sample was limited to smokers who endorsed past four-week pain. These findings lend support to the notion that pain-related anxiety may contribute to the maintenance of tobacco dependence among smokers who experience varying levels of pain intensity

A Measure of Expectancies for Alcohol Analgesia: Preliminary Factor Analysis, Reliability, and Validity

Rates of alcohol consumption are substantially higher among persons with pain, and recent research has focused on elucidating bidirectional pain-alcohol effects. Expectancies for alcohol analgesia could influence the degree to which alcohol confers acute pain-relieving effects, and may amplify the propensity to respond to pain with drinking behavior. However, no validated measures of expectancies for alcohol analgesia are available. The goal of this project was to examine psychometric properties of a measure of Expectancies for Alcohol Analgesia (EAA) across two samples (current alcohol users with and without chronic pain). Study 1 included 200 moderate-to-heavy drinkers with no current acute/chronic pain (Mage = 33.4; 39% female) who were recruited for a primary laboratory study. Results indicated that the hypothesized single-factor structure of the EAA provided good model fit (Bollen-Stine bootstrap p = .17). The EAA also showed excellent internal consistency (α = .97), and scores were positively associated with average daily drinks, binge drinking frequency, and alcohol outcome expectancies (ps \u3c .01). As expected, EAA scores were not associated with participant height (p \u3e .05). Study 2 included 273 current alcohol users with chronic musculoskeletal pain (Mage = 32.9; 34% female) who completed an online survey of pain and substance use. Results of Study 2 further supported the single-factor structure (Bollen-Stine bootstrap p = .13), and internal consistency of the EAA was excellent (α = .97). EAA scores were positively associated with quantity/frequency of alcohol use, alcohol outcome expectancies, coping-related drinking motives, and pain severity (ps \u3c .01). EAA scores were not associated with height (p \u3e .05). Collectively, these findings provide initial support regarding the single-factor structure, reliability, and validity of the EAA. Examination of predictive utility and further validation will be important next steps

Double Contrast Arthrography of the Knee

Arthrography is a safe and relatively simple diagnostic procedure which provides an accurate and graphic preoperative means of defining pathology of the knee. In those cases where the expeditious evaluation and diagnosis of knee injury are of prime importance, ie, the athlete and industrial compensation case, arthrography provides a significant contribution. The clinical pathological features, salient anatomy and technic of study of internal derangements of the knee are discussed. Selected double contrast arthrograms illustrate normal and abnormal findings. Arthrotomies were performed in 20 of the 32 patients in this study with a positive arthrogram-arthrotomy correlation of 85%

Group additivity calculation of the standard molal thermodynamic properties of aqueous amino acids, polypeptides and unfolded proteins as a function of temperature, pressure and ionization state

International audienceThermodynamic calculation of the chemical speciation of proteins and the limits of protein metastability affords a quantitative understanding of the biogeochemical constraints on the distribution of proteins within and among different organisms and chemical environments. These calculations depend on accurate determination of the ionization states and standard molal Gibbs free energies of proteins as a function of temperature and pressure, which are not generally available. Hence, to aid predictions of the standard molal thermodynamic properties of ionized proteins as a function of temperature and pressure, calculated values are given below of the standard molal thermodynamic properties at 25°C and 1 bar and the revised Helgeson-Kirkham-Flowers equations of state parameters of the structural groups comprising amino acids, polypeptides and unfolded proteins. Group additivity and correlation algorithms were used to calculate contributions by ionized and neutral sidechain and backbone groups to the standard molal Gibbs free energy (? G°), enthalpy (? H°), entropy (S°), isobaric heat capacity (C°P), volume (V°) and isothermal compressibility (?°T) of multiple reference model compounds. Experimental values of C°P, V° and ?°T at high temperature were taken from the recent literature, which ensures an internally consistent revision of the thermodynamic properties and equations of state parameters of the sidechain and backbone groups of proteins, as well as organic groups. As a result, ? G°, ? H°, S° C°P, V° and ?°T of unfolded proteins in any ionization state can be calculated up to T~-300°C and P~-5000 bars. In addition, the ionization states of unfolded proteins as a function of not only pH, but also temperature and pressure can be calculated by taking account of the degree of ionization of the sidechain and backbone groups present in the sequence. Calculations of this kind represent a first step in the prediction of chemical affinities of many biogeochemical reactions, as well as of the relative stabilities of proteins as a function of temperature, pressure, composition and intra- and extracellular chemical potentials of O2 and H2, NH3, H2PO4 and CO2

Reduction of Lunchroom Noise and Other Behaviors Using Feedback and Group Contingent Reinforcement

Reduction of noise levels in an elementary school lunchroom was examined as a function of feedback and feedback plus reinforcement using group contingency procedures. Feedback consisted of signals from a traffic light with green indicating acceptable levels, yellow indicating slightly higher levels and red indicating unacceptable levels. Other behaviors, running, hitting, pushing and kicking, were measured incidentally. Results indicate that feedback plus reinforcement was effective in reducing noise levels. Feedback alone was also effective, but to a lesser degree. No response - response relationship was found to exist between noise level and the other behaviors

Chemolithotrophy in the continental deep subsurface: Sanford Underground Research Facility (SURF), USA

The deep subsurface is an enormous repository of microbial life. However, the metabolic capabilities of these microorganisms and the degree to which they are dependent on surface processes are largely unknown. Due to the logistical difficulty of sampling and inherent heterogeneity, the microbial populations of the terrestrial subsurface are poorly characterized. In an effort to better understand the biogeochemistry of deep terrestrial habitats, we evaluate the energetic yield of chemolithotrophic metabolisms and microbial diversity in the Sanford Underground Research Facility (SURF) in the former Homestake Gold Mine, SD, USA. Geochemical data, energetic modeling, and DNA sequencing were combined with principle component analysis to describe this deep (down to 8100 ft below surface), terrestrial environment. SURF provides access into an iron-rich Paleoproterozoic metasedimentary deposit that contains deeply circulating groundwater. Geochemical analyses of subsurface fluids reveal enormous geochemical diversity ranging widely in salinity, oxidation state (ORP 330 to −328 mV), and concentrations of redox sensitive species (e.g., Fe(2+) from near 0 to 6.2 mg/L and Σ S(2-) from 7 to 2778μg/L). As a direct result of this compositional buffet, Gibbs energy calculations reveal an abundance of energy for microorganisms from the oxidation of sulfur, iron, nitrogen, methane, and manganese. Pyrotag DNA sequencing reveals diverse communities of chemolithoautotrophs, thermophiles, aerobic and anaerobic heterotrophs, and numerous uncultivated clades. Extrapolated across the mine footprint, these data suggest a complex spatial mosaic of subsurface primary productivity that is in good agreement with predicted energy yields. Notably, we report Gibbs energy normalized both per mole of reaction and per kg fluid (energy density) and find the later to be more consistent with observed physiologies and environmental conditions. Further application of this approach will significantly expand our understanding of the deep terrestrial biosphere

Sulfur disproportionating microbial communities in a dynamic, microoxic‐sulfidic karst system

Biogeochemical sulfur cycling in sulfidic karst systems is largely driven by abiotic and biological sulfide oxidation, but the fate of elemental sulfur (S0) that accumulates in these systems is not well understood. The Frasassi Cave system (Italy) is intersected by a sulfidic aquifer that mixes with small quantities of oxygen-rich meteoric water, creating Proterozoic-like conditions and supporting a prolific ecosystem driven by sulfur-based chemolithoautotrophy. To better understand the cycling of S0 in this environment, we examined the geochemistry and microbiology of sediments underlying widespread sulfide-oxidizing mats dominated by Beggiatoa. Sediment populations were dominated by uncultivated relatives of sulfur cycling chemolithoautotrophs related to Sulfurovum, Halothiobacillus, Thiofaba, Thiovirga, Thiobacillus, and Desulfocapsa, as well as diverse uncultivated anaerobic heterotrophs affiliated with Bacteroidota, Anaerolineaceae, Lentimicrobiaceae, and Prolixibacteraceae. Desulfocapsa and Sulfurovum populations accounted for 12%–26% of sediment 16S rRNA amplicon sequences and were closely related to isolates which carry out autotrophic S0 disproportionation in pure culture. Gibbs energy (∆Gr) calculations revealed that S0 disproportionation under in situ conditions is energy yielding. Microsensor profiles through the mat-sediment interface showed that Beggiatoa mats consume dissolved sulfide and oxygen, but a net increase in acidity was only observed in the sediments below. Together, these findings suggest that disproportionation is an important sink for S0 generated by microbial sulfide oxidation in this oxygen-limited system and may contribute to the weathering of carbonate rocks and sediments in sulfur-rich environments