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Predictors of late-onset smoking and cessation over 10 years.

PURPOSE: To identify predictors of smoking onset and cessation between early (age 13 years) and late adolescence (age 18 years) and between late adolescence (age 18 years) and young adulthood (age 23 years). METHODS: We employed logistic regression to predict smoking initiation and cessation for an ethnically diverse sample of 3056 adolescents recruited from 30 West Coast schools in 1985 and observed from age 13 to age 23 years. Fifty-six percent of the sample was female. Predictors tapping sociodemographic characteristics, environmental influences, attitudes and beliefs about smoking, bonds with school, and problem behavior were measured at age 13 years (older teenager models) and at age 18 years (young adult models). RESULTS: Robust predictors of both initiation and cessation across the two developmental periods included doing poorly in middle/high school and prior smoking behavior. Predictors common to three of the four models included being young for one's grade cohort and intending to smoke in the next 6 months. Early deviant behavior and drinking fostered initiation among older teenagers, but problem behavior as an older teenager did not predict young adult initiation. Smokers who had few or no high school friends who smoked and felt able to resist prosmoking pressures at age 18 years were more likely to quit by age 23 years. Being female predicted initiation by age 18 years; being African-American, Hispanic, or Asian inhibited it. CONCLUSIONS: The strong association of prior smoking behavior and intentions with later smoking status among both adolescents and young adults underscores the importance of starting smoking prevention early and continuing it through high school. Such programs might also consider the greater vulnerability of females, youth who are young for their grade cohort, and those who are doing poorly in school.

Adolescent↗

Examining trajectories of adolescent risk factors as predictors of subsequent high-risk driving behavior.

PURPOSE: To examine the effects on early high-risk driving behavior of changes over time (trajectories) in adolescent alcohol use, friends' support for drinking, susceptibility to peer pressure, and tolerance of deviance. METHODS: Statewide driving data were obtained for 4813 subjects who had completed at least two previous school-based questionnaires. The self-administered questionnaire data provided predictor measures from 5th through 10th grades. Trajectory information on predictor measures was summarized using each measure's slope over time and level at the 10th grade data collection (last value). Regression models used serious offenses, alcohol-related offenses, serious crashes, and alcohol-related crashes as outcomes, trajectory measures as predictors, and produced parameter estimates adjusted for demographic measures. Probabilities of having a serious offense or serious crash for five sample trajectories on each measure were obtained from the estimated regression models. RESULTS: All four predictor measures were important, particularly in predicting serious offenses, alcohol-related offenses, and alcohol-related crashes. The highest probabilities for young adult high-risk driving were found among those with consistently high or increasingly high trajectories of friends' support for drinking, susceptibility to peer pressure, and tolerance of deviance. CONCLUSIONS: Programs to prevent adolescent risk behavior should take into account environmental and personality influences. Prevention efforts need to emphasize preserving low levels, preventing increases, and promoting decreases over time of adolescent risk factors for unhealthy behaviors, such as high-risk driving.

Accidents, Traffic↗

Psychosocial predictors of binge eating and purging behaviors among adolescents with and without diabetes mellitus.

PURPOSE: This study aims to compare dieting, binge eating, and purging behaviors, and to examine predictors of binge eating and purging behaviors among adolescents with and without Diabetes Mellitus (DM). METHODS: The index group included 310 adolescents who reported that they had DM on a statewide population survey of 36,284 adolescents in grades 7-12 in Minnesota. The comparison group included a random sample matched for socioeconomic status (SES), of 850 adolescents without chronic illness. Disordered eating behaviors assessed in the present study included binge eating, vomiting, laxative use, and diuretic use. Potential predictor variables assessed included weight loss behaviors, body image, sexual abuse, sexual attractions, emotional well-being, family connectedness, poor school performance, age, race, Body Mass Index (BMI), and SES. RESULTS: Binge eating and purging were significantly more prevalent among adolescents with DM than among the comparison group. Different risk profiles were found for adolescents with and without DM and for males and females. Predictors of binge eating and purging among females with DM included weight dissatisfaction, bisexual/homosexual attractions, and younger age. Predictors among males with DM included bisexual/homosexual attractions, younger age, sexual abuse, and an interaction between sexual abuse and emotional well-being. CONCLUSIONS: Adolescents with DM should be screened for unhealthy weight control practices and eating disorders. If disordered eating is present, clinicians need to be sensitive to the variety of factors possibly associated with these behaviors among different individuals.

Adolescent↗

Predictors of treatment outcome in intermittent claudication.

OBJECTIVE: To derive formulae to predict the likely 12-month health-related quality of life outcome following different treatments for intermittent claudication (IC). DESIGN: A prospective, randomized, controlled study. MATERIALS: One hundred and seventy-one unselected patients with stable IC were sequentially randomized to invasive therapy, supervised physical training or observation. Hierarchical analysis was used to identify significant predictors of outcome. RESULTS: The strongest outcome predictors were baseline values of the respective outcome variables in all groups. No more than two significant secondary predictors were identified for each outcome variable and no outcome variable was a predictor of any other outcome variable. Resulting prediction equations achieved between 61 and 90% concordance with improvement (75% considered adequate), with best prediction for invasive therapy and poorest for observation. Suggested cutpoints for the various endpoints in the three groups had sensitivities ranging between 65 and 100% and false positive rates between 5 and 50%. CONCLUSIONS: The derived equations adequately predicted improvement on the various outcome variables in invasive therapy and supervised physical training, and may serve as aids in selecting patients likely to benefit most from a particular treatment strategy. The uniqueness of the outcome variables underscores the importance of implementing a comprehensive set of endpoints relevant to the impacts of the condition.

Aged↗

Demographic predictors of asthma treatment site: outpatient, inpatient, or emergency department.

OBJECTIVE: To identify the demographic predictors of asthma treatment site: outpatient clinic, emergency department, or hospital. METHODS: From the November 1993 to July 1995 claims data of the University of Connecticut Health Center, asthmatic patient sex, age, racial/ethnic group, address, and health insurance status were examined to identify predictors of treatment site. Patient addresses generated maps and census data. RESULTS: 3288 visits were made by 1455 patients; 8%, 34%, and 58% came from poverty level, low, and higher income residential areas, respectively. Insurance type and then age were the most significant predictors of treatment site. Adults having commercial insurance or Medicare were most likely treated as outpatients, self-pay patients 5 times more likely in the emergency department, and those receiving public assistance 2.4 times more likely in the hospital. Only 9% of Medicaid children and 22% with commercial insurance were evaluated as outpatients. Neither sex nor race/ethnicity was an important predictor of treatment site. CONCLUSION: Although not population-based, this group of asthmatic patients represents a group diverse in socioeconomic status and racial/ethnic background. Insurance category was the most influential factor predicting asthma treatment site, suggesting that economic status may be the most important determinant of higher morbidity. Children were treated predominantly in acute care settings.

Adolescent↗

Frequency, prognosis and predictors of improvement of systolic left ventricular function in patients with 'classical' clinical diagnosis of idiopathic dilated cardiomyopathy.

In patients with dilated cardiomyopathy (DCM) of different aetiologies, a variable frequency of improvement in the left ventricular (LV) systolic function has been reported, while in patients with a 'classic' idiopathic DCM, the frequency of improvement is still under debate, and clinical and haemodynamic predictors of recovery of the LV function are needed. The aim of the present study was to determine the frequency of improvement in the LV systolic function in idiopathic DCM and to identify predictors of reversibility of the impaired LV contractility. A sample of 98 consecutive patients with idiopathic DCM was retrospectively evaluated. Echocardiographic and Doppler measurements were directly taken from the routine echo-report. LV systolic function was assessed semiquantitatively using a score index (SFSI). According to the improvement in the LV systolic function, the patients were divided into group 1 patients with improvement, and group 2 patients without improvement. During a follow-up of at least 12 months, 19 patients (19%) showed an improvement, with a significant increase in the mean SFSI; all these group 1 patients survived without heart transplant; in group 2, 18 patients (23%) died and 3 (4%) received a heart transplant. Patients in group 1 had a significantly shorter duration of symptoms (P=0.0045), a younger age (P=0.006), a shorter DtE (P=0.04), a lower SFSI (P<0.01), a worse NYHA class (P<0.001) and more frequently had a history of hypertension (P<0.0001). The same variables were significant predictors of improvement at the univariate analysis. At the multivariate logistic regression analysis, a shorter duration of symptoms (P=0.02), a history of hypertension (P=0.003), and a worse NYHA class (P=0.01) were independent predictors of improvement. A relatively large percentage of patients with an idiopathic DCM will have a marked improvement in the LV systolic function. This is more likely to happen in the presence of a short duration of symptoms and a history of hypertension. After an improvement, the prognosis is excellent.

Adult↗

Are there sex differences in the reliability of a lifetime history of major depression and its predictors?

BACKGROUND: Although lifetime major depression (LTMD) is assessed with only moderate reliability in community samples, some predictors have emerged for 'reliable' LTMD. Given the large impact of sex on risk for LTMD, it is of interest to know if there are sex differences in the reliability of LTMD and its predictors. METHODS: A total of 5603 members of male-male and male-female twin pairs from a population-based registry were interviewed twice with a mean inter-interview interval of 19 months. LTMD was assessed on each occasion using DSM-III-R criteria. Univariate and multivariate logistic regression analyses were used, combining forward and back-prediction. RESULTS: The long-term test-retest reliability of LTMD was moderate (kappa = +0.48) and did not differ significantly between males and females. In a multivariate model, the significant predictors of a stable diagnosis of LTMD, none of which differed across sex, were younger age at onset, older current age, history of treatment, increasing number of symptoms, level of impairment or level of distress, longer duration of episodes, higher current level of depression and the presence during the depressive episode of sad mood, weight loss, hypersomnia or fatigue. Using these variables, it was not possible to predict 'stably diagnosed' LTMD with both high sensitivity and high specificity. CONCLUSION: In community samples, LTMD is diagnosed with moderate reliability. Although diagnostic stability can be predicted by variables related to severity, distress and treatment-seeking (probably acting to make depressive episodes more 'memorable'), highly accurate prediction of stably diagnosed cases is not possible. Long-term recall is also significantly influenced by current symptoms. Neither the stability of LTMD nor its predictors differ in men and women.

Adult↗

Syndrome stability and psychological predictors of symptom severity in idiopathic environmental intolerance and somatoform disorders.

BACKGROUND: Previous studies suggest that idiopathic environmental intolerance (IEI) is a variant of somatoform disorders (SFDs) or the so-called functional somatic syndromes. Little is known, however, about the stability and the psychological predictors of IEI. METHOD: This prospective study examined the 1-year stability of somatic symptoms and IEI features in three diagnostic groups: 49 subjects with IEI, 43 subjects with SFD but without IEI, and 54 subjects (control group, CG) with neither IEI nor SFD. The predictive value of typical psychological predictors for somatization was tested using zero-order correlations and multiple linear regression analyses. RESULTS: Somatic symptoms and IEI features proved to be temporally stable over the 1-year follow-up period. The SFD and IEI groups scored significantly higher than CG on all measures of somatic symptoms and on questionnaires assessing psychological predictors for somatization. Measures of trait negative affectivity (NA), somatic symptom attribution and somatosensory amplification predicted somatic symptom severity within the IEI and SFD groups, both at baseline and 1 year later. The strongest predictors of IEI complaints in the IEI group were somatic attributions, followed by prominent cognitions of environmental threat and a tendency to focus on unpleasant bodily sensations and to consider them as pathological. CONCLUSIONS: IEI and SFD are highly stable conditions. In both SFD and IEI, NA and the processes of symptom perception, interpretation and attribution contribute substantially to the persistence of typically somatoform symptoms and IEI complaints. Treatment of IEI and SFD should address these psychological factors and mechanisms.

Adult↗

Predictors of residual defects following closure of defects in the oval fossa using the Amplatzer device: echocardiography recapitulates morphometry.

OBJECTIVES: This study was designed to identify predictors of residual defects following deployment of the Amplatzer device to close septal defects within the oval fossa. METHODS: Between February 1997 and February 2000, we used the Amplatzer device to close defects in the oval fossa in 89 patients. Of these patients, 18 (20%) had residual defects. At 6 or 12 months following placement of the device, 13 defects (14.6%) had persisted. We evaluated several variables derived from clinical features, transesophageal echocardiography and catheterization to establish predictors for residual shunting. RESULTS: Multivariate analysis identified a shorter superior rim of less than 8 mm (Odds ratio = 10.1; 95% confidence intervals = 2.64-38.72; p = 0.001), and a smaller interatrial septum in the 30-degree transesophageal echocardiographic plane of less than 30 mm (Odds ratio = 5.5; 95% confidence intervals = 1.17-26.14; p = 0.03) as independent predictors of residual defects. When the analysis was repeated defining only those 13 patients with persisting residual defects at 6 or 12 months as failures, a short superior rim (p = 0.004) remained a predictor for residual shunting. CONCLUSIONS: Defects with a short superior rim and smaller interatrial septum in the 30-degree transesophageal echocardiographic plane independently and additively predict an increased probability of residual shunting following closure of defects in the oval fossa using the Amplatzer device.

Cardiac Catheterization↗

Predictors of visual acuity and the relative afferent pupillary defect in optic neuropathy.

The relationships among visual acuity (log MAR), diagnostic category, age, the magnitude of a relative afferent pupillary defect (RAPD) in log units, photopic foveal thresholds to white and colored light (dB), and the mean deviation on the Humphrey visual field (dB) were studied in patients with various optic neuropathies. All acuity and dB values were expressed as interocular differences, the majority of cases having normal acuity in the fellow eye. In multiple regression analyses, acuity and RAPD were alternately chosen as the dependent or response variable with all remaining variables serving as the predictors or independent variables. The main finding was that the only significant predictor of a RAPD was the interocular mean deviation difference on the Humphrey field and the only significant predictor of acuity was the foveal threshold to white light. Redundant and insignificant variables were therefore identified with multiple regression analysis. Subsidiary findings include: (a) although diagnostic group was not a significant predictor in the above, simple linear regression line slopes relating RAPD magnitude to the Humphrey mean deviation were significantly different between optic neuritis and compression categories; (b) for a given level of acuity, foveal thresholds were substantially worse in these cases with neuronal damage than in strabismic amblyopia, refractive error, or corneal damage; and (c) sensitivity losses for red vs. blue light were similar.

Adaptation, Ocular↗

Predictors of response to subsequent chemotherapy in platinum pretreated ovarian cancer: a multivariate analysis of 704 patients [seecomments].

BACKGROUND: The probability of response to chemotherapy following platinum based treatment in ovarian cancer has usually been related to the 'platinum-free interval'. However, in a recent European-Canadian trial of paclitaxel, serous histology, tumor bulk, and hemoglobin, but not treatment free interval, were predictors of response. To determine if these observations were unique to this study (or this drug), data from other active agents given as second- or third-line treatment in ovarian cancer were obtained and analyzed. METHODS: In the first part of the study, results of trials in 1185 platinum pretreated ovarian cancer patients were obtained on six agents: paclitaxel, epirubicin, docetaxel, carboplatin, irinotecan, and gemcitabine. Response results according to histology, baseline hemoglobin, tumor size and time from last chemotherapy were determined for each agent and the Cochran-Mantel-Haenszel procedure was used to obtain an overall assessment of significance for each factor. In the second part of the study, individual data from 704 patients in four studies (three agents: paclitaxel, docetaxel and epirubicin) were pooled for univariate and multivariate analysis of factors predictive of response. RESULTS: In the analysis of results of individual agents all factors examined were significant predictors of response: serous histology (P = 0.001), tumor size < or = 5 cm (P = 0.02), normal baseline hemoglobin (P = 0.003), and > or = 6 mo since last treatment (P = 0.001). While these results were interesting, they did not supply definitive answers regarding independent response predictors. Therefore a multifactor analysis was undertaken on the 704 patients for whom individual data were available. Of the 11 factors examined in a univariate analysis, 10 met the criteria for inclusion in a stepwise logistic regression. In the final model only 3 factors remained as significant independent predictors of response: serous histology (P = 0.009), no. disease sites (P = 0.003), and tumor size (P = 0.001). Time from last treatment, when evaluated as a continuous variable, was not in the final model and was highly correlated with tumor size (P = 0.0005). CONCLUSIONS: On the basis of this analysis, we conclude that tumor burden (as assessed by size of the largest lesion and number of disease sites) and histology are factors of importance in response to subsequent chemotherapy in relapsed ovarian cancer. Time from last treatment was correlated with tumor size in this data set and its effect on response was dependent on whether it was examined as a categorical or continuous variable, so we conclude it is not the sole critical factor of biologic importance. We recommend description of these factors in reports of phase II studies, confirmation of these findings in other data sets and further investigation of the mechanism of sensitivity of serous tumors.

Female↗

Patterns and predictors of the breast cancer detection methods in women under 45 years of age (United States).

OBJECTIVES: Few studies have examined methods by which breast cancers are detected, and only one study has been published on predictors of those methods. This study examined patterns and predictors of breast cancer detection methods during 1990-1992 among women age 20-44. METHODS: In-person interview and medical record data were obtained during a population-based case-control study of 1619 women newly diagnosed with breast cancer in three areas of the United States (US). RESULTS: Seventy-one percent of the cancers were identified by self-detection, 9% by routine clinical breast exam (CBE), and 20% by routine mammography. Cancers detected by mammography and CBE, but not those detected by breast self-exam, were much more likely to be early-stage. Detection by mammography increased with age, and a history of mammography use was associated with detection by mammography or CBE. Several commonly studied predictors of screening utilization in the US population were associated with CBE detection, but were less clearly related to or unrelated to mammography detection. CONCLUSION: Findings suggest that, during the 1990s in the US, most breast cancers among women under age 45, including those age 40-44, were self-detected. Few factors other than age and prior screening are verified predictors of method of breast cancer detection.

Adult↗

Nuclear accumulation of basic fibroblast growth factor as a predictor for the recurrence of pituitary adenomas.

Although pituitary adenomas often recur, a reliable predictor for their recurrences has not yet been established. The aim of this study is to assess the utility of the nuclear accumulation of basic fibroblast growth factor (bFGF) as a predictor for the recurrence of pituitary adenomas. We studied 64 patients who had primary pituitary adenomas and underwent operations. The immunohistochemistry for bFGF and MIB-1 was retrospectively examined in paraffin-embedded tissues. The bFGF immunoreactivity in the cytoplasm was assigned one of four grades and the bFGF immunoreactivity in the nucleus was recorded as the bFGF nuclear index (NI), which was calculated as a percentage of tumor cells with the bFGF immunoreactivity in the nuclei in more than 1000 tumor cells. Recurrent adenomas were found in 7 patients during follow-up periods ranging from 8 to 134 months (mean: 57.3). Kaplan-Meier analysis demonstrated that high bFGF NI (>30%) correlated with poor recurrence free rate (p < 0.02). We assessed the relative contribution of bFGF NI to recurrence free by using multivariate (Cox's proportional hazards model) analyses with variable factors. Multivariate analysis showed that only bFGF NI was a potential predictor of recurrence free, independent of all other variables. High bFGF NI (>30%) had a relative risk of 8.9, with a 95% confidence interval of 1.0-74.9 (p < 0.05). We suggest that the bFGF NI may be a potentially useful predictor for the recurrence of pituitary adenomas.

Adenoma↗

Predictors of bleeding complications after rescue coronary interventions.

The purpose of this study was to determine predictors of bleeding complications after current rescue coronary interventions including stenting and adjunctive platelet inhibitors. Previous studies of rescue angioplasty for thrombolytic failure have identified variable rates of bleeding complications with balloon angioplasty alone. Although coronary stents and glycoprotein 2b/3a inhibitors have been shown to improve outcome in a wide variety of coronary interventions, the impact of these therapies on bleeding complications after rescue coronary intervention has not been determined. From 1996 through 1998, we treated 108 consecutive patients with rescue coronary intervention (defined as attempted coronary intervention within 12 hours of thrombolysis for ongoing symptoms or electrocardiogram [ECG] changes) including conventional percutaneous transluminal coronary artery (PTCA), stenting (n = 45), and glycoprotein 2b/3a inhibitor use (n = 31). In-hospital clinical outcomes were obtained in all patients, and univariate and multivariate predictors of bleeding complications were identified. In hospital, moderate to severe bleeding complications occurred in 17.6% of the cohort, but the rate of severe bleeding complications (2.7%) and vascular repair (1.9%) were low. Independent predictors of bleeding complications were age > 60y, female gender, cardiogenic shock, and streptokinase use. Neither the delayed use of abciximab (on average 4 hours after thrombolytic therapy initiation) nor the use of rescue stenting were predictors of increased moderate to severe bleeding complications. Current rescue coronary intervention, including stents and platelet inhibitors, is associated with a low rate of severe bleeding complications. Moderate to severe bleeding complications were more common in selected subgroups of patients but not increased significantly by stenting or delayed abciximab use.

Age Factors↗

Childhood social predictors of adolescent antisocial behavior: gender differences in predictive accuracy and efficacy.

This study examined the ability of several childhood, school-based, social variables to correctly classify antisocial adolescents. Children (N = 314; 163 boys, 151 girls) in the 3rd-5th grade were assessed on academic and social variables (i.e., peer rejection, aggression, withdrawal, and low prosocial behavior) and followed forward for 6-7 years until the 9th and 10th grade. Adolescent antisocial outcomes included a consensus measure formed from diagnostic interviews, contact with juvenile authorities, adolescent self-report, and mother's report. The gender-differential predictive accuracy and efficacy of the early predictor domains to a consensus measure of antisocial behavior were compared with the same estimates found for adolescent self-report of antisocial behavior. Both gender and criterion-method differences were found. For girls, regardless of the measure of antisocial behavior, early academic problems were the strongest predictors of future problems. For boys' self-reported antisocial outcomes, peer rejection was the strongest independent predictor. For consensus-reported antisocial outcomes, both early fighting-anger and withdrawn behavior displayed equally strong predictive relations. For boys, the combination of early fighting-anger and disruptive and withdrawn behavior was the strongest set of predictors for the consensus measure of antisocial functioning. Predictive accuracy and efficacy estimates are discussed in terms of predictive strength as well as the cost-benefit of misidentification.

Adolescent↗

Cyclosporine microemulsion (Neoral) absorption profiling and sparse-sample predictors during the first 3 months after renal transplantation.

UNLABELLED: Recent data suggest that optimal cyclosporine (CsA) exposure early post-transplant significantly reduces the risk of acute graft rejection. They indicate that trough level monitoring is inadequate for precise concentration-controlled therapy, and suggest that absorption profiling may offer a superior approach for guiding clinical immunosuppression with Neoral. An international, prospective, multicenter study examined the feasibility, accuracy, precision and clinical utility of cyclosporine microemulsion (Neoral) absorption profiling in de novo renal transplant recipients receiving basiliximab immunoprophylaxis and cyclosporine microemulsion maintenance immunosuppression. The nested pharmacokinetic study reported here was conducted in 4 study centers in which full (11-point) pharmacokinetic profiles were performed on days 3, 7, 14 and 84 post-transplant to examine absorption profile and absorption efficiency, and to determine optimal sparse-sampling pharmacokinetic methods to predict Neoral exposure. Twenty-four patients had complete 12-h pharmacokinetic (PK) data on all 4 sampling days. Area under the time-concentration curve (AUC) over the first 4 h of the 12-h dosage interval (AUC[0-4]) and AUC over the entire 12-h dosage interval (AUC[0-12]) reached 3803 +/- 1033 and 7462 +/- 2120 microg.h/L respectively, by day 3, remained stable throughout the first 2 weeks, and declined to 2310 +/- 698 and 4062 +/- 1158 microg.h/L by day 84 (p < 0.001). AUC[0-4], capturing the drug absorption phase, represented 52% of the AUC[0-12] values across the four PK study days (mean R2 > 0.90). Between-patient variability was highest for C0 and C1 (mean coefficient of variation [c.v.] 36-47%), and lower for C2 (mean c.v. 28%) and subsequent time-points during the dosing interval. Mean relative CsA absorption, measured by dose- and weight-adjusted AUC[0-4] and AUC[0-12], increased significantly over time. The dose- and weight-corrected AUC[0-4h] (DWC.AUC[0-4]) rose by over 100% (p < 0.001) from 753 +/- 202 at day 3 to 905 +/- 232 at day 7, 1080 +/- 330 at day 14 and 1521 +/- 316 by day 84, while the dose-and weight-corrected AUC[0-12h] (DWC.AUC[0-12]) rose by over 80% (p < 0.001) from 1477 +/- 390 microg.h/L/ mg/kg on day 3, to 1721 +/- 426 on day 7, 2086 +/- 478 on day 14 and 2690 +/- 602 on day 84 (p < 0.001). Relative CsA absorption varied over 5-fold between patients at day 3, but patients tended to remain within the same quartiles over time. Sparse-sample modeling identified optimum 3-point, 2-point and 1-point predictors for AUC[0-4] and AUC[0-12]. C2 was the most accurate and robust .1-point predictor for AUC[0-4] (mean R2: 0.80), while C3 was superior for AUC[0-12] (mean R2: 0.75). C0 was not a good predictor of either AUC[0-4] or AUC[0-12] (mean R2: 0.13 and 0.24, respectively). CONCLUSION: Absorption profiling defines the heterogeneity in CsA exposure and relative absorption post-transplant. A 2-h post-dose blood sample is the most consistent, accurate and robust single-point predictor of the absorption phase measured by AUC[0-4] and should replace trough level monitoring for accurate concentration-control of Neoral therapy in the clinical setting. The use of additional samples at 1 and 3h is more complex and costly, but increases prediction accuracy and may be valuable in selected patients with erratic absorption.

Area Under Curve↗

Anxiety sensitivity, suffocation fear, and breath-holding duration as predictors of response to carbon dioxide challenge.

Predictors of response to carbon dioxide challenge (i.e., breathing deeply and rapidly into a paper bag for 5 min) were evaluated in 78 college students. Zero-order correlations revealed that scores on the Suffocation Fear Scale (SFS; S. Rachman & S. Taylor, 1994) and the Anxiety Sensitivity Index (S. Reiss, R. A. Peterson, D. M. Gursky, & R. J. McNally, 1986) predicted anxiety and self-reported bodily sensations, whereas a behavioral measure of carbon dioxide sensitivity (i.e., maximum breath-holding duration) did not. Multiple regression analyses revealed that the SFS was the only significant predictor of anxiety and bodily sensations. Just as anxiety sensitivity is a better predictor than trait anxiety of the response to biological challenges in general, suffocation fear is a better predictor than anxiety sensitivity for challenges that increase carbon dioxide.

Adolescent↗

Predictors of overall and on-the-job substance use among young workers.

Predictors of overall and on-the-job substance (alcohol and marijuana) use were studied in a sample of young workers. The 18 predictors represent 6 general domains of risk factors: demographic, personality, substance use outcome expectancies, workplace substance availability, workplace social control, and work stressors. Data were obtained from a sample of 319 individuals ages 16 to 19. Hierarchical tobit regression analyses revealed that 5 of the 6 domains of risk factors were related to employee substance use. Similarities and differences were found in the predictors of overall and on-the-job substance use and in the predictors of alcohol and marijuana use.

Adolescent↗