Measuring recovery capital for people recovering from alcohol and drug addiction:A systematic review

Background: Recovery capital (RC) theory provides a biopsychosocial framework for identifying and measuring strengths and barriers that can be targeted to support recovery from alcohol and drug addiction. This systematic review analyzed and synthesized all quantitative approaches that have been used to measured recovery capital RC in the recent literaturesince 2016.Method: Systematic database searches were conducted in three databases to identifyThe reviewed studies were published from 2016 to 2023, . Eligible studiesand explicitly stated they measured RC recovery capital in participants recovering from alcohol and/or drug addiction. Studies focusing on other forms of addiction were excluded.Results: Sixty-nine studies met the inclusion criteria. Forty-six studies (66.7%) used one of the ten identified RC recovery capital questionnaires, and twenty-five studies (36.2%) used a measurement approach other than one of the ten RC recovery capital questionnaires. The ten RC recovery capital questionnaires are primarily developed for adult populations across clinical and community recovery settings, and between them measuredwere identified to measure altogether 41 separate RC recovery capital constructs. They, and are generally considered valid and reliable measures of RCrecovery capital. Nevertheless, a strong evidence base on the psychometric properties across diverse populations and settings is still needs to be established for all RC these questionnaires. Conclusion: The development of RC recovery capital questionnaires has been a significant advance in the addiction recovery field, in alignment with the modern emerging recovery-oriented approach to addiction recovery care. Additionally, the non-RC recovery capital questionnaire-based approaches to RC recovery capital measurement have an important place in the field. They could be used alongside RC recovery capital questionnaires to test RC theory, and in contexts where the application of the RC questionnaires is not feasible, such as analyses of data from online recovery forums

Industrial Hemp as a Resource for Birds in Agroecosystems: Human–Wildlife Conflict or Conservation Opportunity?

Industrial hemp (Cannabis sativa L.; hemp) is an emerging crop in the United States with little known about bird use or the potential for birds to become an agricultural pest. We identified birds associated with hemp fields, using repeated visits to oilseed plots in North Dakota, USA (n = 6) and cannabinoid (CBD) plots in Florida, USA (n = 4) from August to November 2020. We did not control for plot area or density; our observations were descriptive only. We observed 10 species in hemp, 12 species flying over hemp, and 11 species both foraging in and flying over hemp fields in North Dakota. In Florida, we observed 4 species in hemp, 5 species flying over hemp, and 4 species exhibiting both behaviors. When we observed birds in hemp, we found them perched in the canopy or foraging on the ground. Counts were highest in oilseed and lowest in CBD varieties. The Florida sites were mainly CBD varieties, which explains lower species diversity and raw counts of birds given the lack of seeds produced. Maximum raw counts of the most common birds (mourning doves [Zenaida macroura] = 116; house finches [Haemorhous mexicanus] = 53; and American goldfinches [Spinus tristis] = 40) using very small fields (116–324 m2) in North Dakota suggest oilseed hemp could suffer yield losses but potentially benefit farmland bird conservation and act as a decoy crop to protect other commodities (e.g., sunflower [Helianthus annuus L.])

Visualizing the Influence of Social Networks on Recovery:A Mixed-Methods Social Identity Mapping Study with Recovering Adolescents

BackgroundSocial recovery capital (SRC) refers to resources and supports gained through relationships and is vital to adolescent addiction recovery. Much is known about how substance use relates to social networks, but little is known about how other dimensions of social networks influence recovery (e.g., network size/exposure, degree of conflict). MethodsThis mixed-methods study sampled 28 adolescents who received treatment for alcohol and other drug (AOD) use disorder (14-19 yrs.: 71% male; M=17.32 yrs., SD=1.33; White 82%): 20 were recovery high school (RHS) students. Adolescents completed a social identity map for addiction recovery (SIM-AR), survey, and interview. Qualitative data were content analyzed and the data from the SIM-AR were quantified. ResultsOn average, participants reported belonging to five having 5 distinct groups (Range, 2-9; SD=1.63; M=27.89 people, SD = 20.09) in their network. Of their social network connections, on average, 51% drank alcohol and 46% used other substances. Larger networks involved more conflict (r=0.57). Participants were more likely to spend more time with groups that had greater proportions of non-substance usinge members; these relationships were stronger for RHS than for non-RHS students. Qualitative analyses revealed that youth reported their recovery-oriented groups as supportive, yet some felt their substance-using friends also supported their recovery.DiscussionSIM-AR was a useful measurement tool, and, through qualitative interviews, we identified unique aspects of youth’s social networks important for further examination. Research with recovering youth should examine SRC-related elements within their networks including relationship quality, belonging, and conflict, in addition to the substance use behaviors of network members. <br/

Photometric Redshifts of Quasars

We demonstrate that the design of the Sloan Digital Sky Survey (SDSS) filter system and the quality of the SDSS imaging data are sufficient for determining accurate and precise photometric redshifts (``photo-z''s) of quasars. Using a sample of 2625 quasars, we show that photo-z determination is even possible for z<=2.2 despite the lack of a strong continuum break that robust photo-z techniques normally require. We find that, using our empirical method on our sample of objects known to be quasars, approximately 70% of the photometric redshifts are correct to within delta z = 0.2; the fraction of correct photometric redshifts is even better for z>3. The accuracy of quasar photometric redshifts does not appear to be dependent upon magnitude to nearly 21st magnitude in i'. Careful calibration of the color-redshift relation to 21st magnitude may allow for the discovery of on the order of 10^6 quasars candidates in addition to the 10^5 quasars that the SDSS will confirm spectroscopically. We discuss the efficient selection of quasar candidates from imaging data for use with the photometric redshift technique and the potential scientific uses of a large sample of quasar candidates with photometric redshifts.Comment: 29 pages, 8 figures, submitted to A

CMIP and ATP2C2 Modulate Phonological Short-Term Memory in Language Impairment

Specific language impairment (SLI) is a common developmental disorder characterized by difficulties in language acquisition despite otherwise normal development and in the absence of any obvious explanatory factors. We performed a high-density screen of SLI1, a region of chromosome 16q that shows highly significant and consistent linkage to nonword repetition, a measure of phonological short-term memory that is commonly impaired in SLI. Using two independent language-impaired samples, one family-based (211 families) and another selected from a population cohort on the basis of extreme language measures (490 cases), we detected association to two genes in the SLI1 region: that encoding c-maf-inducing protein (CMIP, minP = 5.5 × 10−7 at rs6564903) and that encoding calcium-transporting ATPase, type2C, member2 (ATP2C2, minP = 2.0 × 10−5 at rs11860694). Regression modeling indicated that each of these loci exerts an independent effect upon nonword repetition ability. Despite the consistent findings in language-impaired samples, investigation in a large unselected cohort (n = 3612) did not detect association. We therefore propose that variants in CMIP and ATP2C2 act to modulate phonological short-term memory primarily in the context of language impairment. As such, this investigation supports the hypothesis that some causes of language impairment are distinct from factors that influence normal language variation. This work therefore implicates CMIP and ATP2C2 in the etiology of SLI and provides molecular evidence for the importance of phonological short-term memory in language acquisition

Characterization of M,L and T dwarfs in the Sloan Digital Sky Survey

An extensive sample of M, L and T dwarfs identified in the Sloan Digital Sky Survey (SDSS) has been compiled. The sample of 718 dwarfs includes 677 new objects (629 M dwarfs, 48 L dwarfs) together with 41 that have been previously published. All new objects and some of the previously published ones have new optical spectra obtained either with the SDSS spectrographs or with the Apache Point Observatory 3.5m ARC telescope. Spectral types and SDSS colors are available for all objects; approximately 35% also have near-infrared magnitudes measured by 2MASS or on the Mauna Kea system. We use this sample to characterize the color--spectral type and color--color relations of late type dwarfs in the SDSS filters, and to derive spectroscopic and photometric parallax relations for use in future studies of the luminosity and mass functions based on SDSS data. We find that the (i*-z*) and (i*-J) colors provide good spectral type and absolute magnitude (M_i*) estimates for M and L dwarfs. Our distance estimates for the current sample indicate that SDSS is finding early M dwarfs out to about 1.5 kpc, L dwarfs to approximately 100 pc and T dwarfs to near 20 pc. The T dwarf photometric data show large scatter and are therefore less reliable for spectral type and distance estimation.Comment: 46 pages, 14 figures (24 pages of figures), Accepted for publication in the Astronomical Journa

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P &lt; 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Implementing a recovery capital model into therapeutic courts: Case study and lessons learned:Case study and lessons learned

Recovery capital is a strengths-based and multi-level model for examining the process and outputs of recovery and desistance. Recovery capital posits that the more positive resources one accrues, the better the chances of recovery. Oftentimes growth of one’s recovery capital must be initiated through identifying programs in the community to create supportive scaffolding: this may be especially true for individuals involved in the justice system. This manuscript presents the results of a pilot evaluation of the REC-CAP, a recovery-capital oriented system of measurement, planning, and engagement in two drug treatment courts. We include a description of the implementation process and results from surveys and focus groups with the court staff. Results suggests that the trainings were useful and that court staff meaningfully engaged with the REC-CAP system. Court staff felt the REC-CAP provided important information about court clients’ strengths and barriers and suggested next steps for staff to take to guide their clients. Future work should explore how the REC-CAP score profile may change with progress through the court phases as well as how to incorporate more system-level supports for a REC-CAP orientation among probation officers and other court staff