Longitudinal Description and Prediction of Smoking Among Borderline Patients: An 18-Year Follow-Up Study.

Objective: The objectives of this study were (1) to compare smoking between recovered and non-recovered patients with borderline personality disorder (BPD) over the course of 18 years and (2) to assess baseline predictors of tobacco use in patients with BPD.Methods: A total of 264 borderline patients were interviewed concerning their smoking history beginning at the 6-year follow-up wave in a longitudinal study of the course of BPD (McLean Study of Adult Development) and re-interviewed at 2-year intervals over the next 18 years. Initial data collection of the larger study happened between June 1992 and December 1995, and the DSM-III-R and the Revised Diagnostic Interview for Borderlines (DIB-R) were used as the diagnostic instruments for BPD.Results: Recovered patients had a 48% lower prevalence of smoking than non-recovered patients at 6-year follow-up (a significant difference; P = .01). Also, the rate of decline in smoking for the recovered group was 68% and was significantly faster (P = .008) than for the non-recovered group over the subsequent 18 years. Alcohol abuse or dependence (relative risk [RR] = 1.22; 95% CI, 1.06-1.40; P = .005), lower levels of education (RR = 1.28; 95% CI, 1.15-1.42; P < .001), and higher levels of the defense mechanism of denial (RR = 1.08; 95% CI, 1.03-1.13; P = .002) were significant predictors of smoking in borderline patients in multivariate analyses.Conclusions: Taken together, the results of this study suggest that recovery status was an important element in the prevalence of smoking among borderline patients over time. They also suggest that smoking was predicted by 3 factors: prior psychopathology, demographics, and psychological maturity.

Impact of pediatric versus adult colonoscope on terminal ileum intubation: a retrospective study.

Background: Various possible predictors of successful terminal ileal intubation (TII) have been explored but the role of the type of colonoscope is unclear. Methods: We carried out a retrospective review of a prospectively collected database of all colonoscopies performed at a single endoscopy unit between May 2015 and July 2020. The primary outcome measure was successful TII in patients with specific indications for ileal examination. The primary predictor was the type of endoscope, pediatric or adult, used during the procedure. Univariate and multivariate analyses were performed. Results: In 5845 colonoscopies fulfilling the study criteria, the overall TII rate was 67.8%. In univariate analysis, the use of a pediatric colonoscope was associated with a higher TII rate (72.1% vs. 58.8%, P<0.001). Other variables associated with successful TII based on univariate analysis included the patient's age, male sex, body mass index, endoscopists' specialty, place of training, shorter colonoscope insertion time, shorter duration of the procedure, longer withdrawal time, procedures performed in the afternoon, type of sedation administered during colonoscopy, and cleanliness of the colon. Multivariate analysis yielded an adjusted odds ratio (OR) of 1.40 (95% confidence interval [CI] 1.21-1.62) for the use of a pediatric colonoscope. Propensity score-matching analysis also showed superiority of the pediatric colonoscope in achieving TII compared to an adult colonoscope, OR 1.35 (95%CI 1.17-1.57). Conclusions: Pediatric colonoscope increases the success of TII during colonoscopy. For endoscopists performing colonoscopy with intent to examine the terminal ileum, it is recommended to choose a pediatric colonoscope to maximize the success rate.

Associations between patterns of modifiable risk factors in mid-life to late life and longevity: 36 year prospective cohort study.

Objective: To examine the associations between patterns of mid-life to late life modifiable risk factors and longevity. Design: Prospective cohort study. Setting: Data collected from the Nurses' Health Study starting in 1984 and the Health Professionals Follow-up Study starting in 1986. Participants: 85 346 participants from the Nurses' Health Study and the Health Professionals Follow-up Study. Main outcome measures: Death from any cause by 31 October 2020 for the Nurses' Health Study and Health Professionals Follow-up Study. Risk factors investigated were body mass index, physical activity, alcohol intake, smoking status, and quality of diet. Trajectories of each risk factor and trajectories of changes in the risk factor were identified from baseline with smoothing mixture models, and the joint group memberships of participants was used to most efficiently capture patterns of the factor over time. For each risk factor, three trajectories (patterns with high, medium, and low values) and three trajectories of change in the risk factor (patterns with increase, no change, and decrease in the factor from baseline) were assumed, giving nine joint patterns: high-stable, high-increase, high-decrease, medium-stable, medium-increase, medium-decrease, low-stable, low-increase, and low-decrease. Associations between patterns of modifiable risk factors and longevity (age at death ≥85 years) and life expectancy were examined with logistic regression and accelerated failure time models, respectively. Results: The analysis included 85 346 participants, with 46 042 participants achieving longevity and 25 322 participants achieving healthy longevity (those who did not have a diagnosis of cardiovascular disease, type 2 diabetes, or cancer). Mean age at baseline was 56 years (standard deviation 5 years). Maximum longevity was achieved in participants with a low-stable pattern for body mass index (compared with a medium-stable pattern, odds ratio of longevity of 1.05, 95% confidence interval 1.00 to 1.10); those with a medium-increase pattern for physical activity (compared with a medium-stable pattern, odds ratio 1.08, 1.01 to 1.15); those with a medium-stable pattern for alcohol intake (high-increase v medium-stable pattern, odds ratio 0.83, 0.74 to 0.93); those who never smoked (low-stable v medium-stable pattern, odds ratio 3.09, 2.84 to 3.37); and those who with a high-increase pattern for quality of diet (compared with a medium-stable pattern, odds ratio 1.09, 1.01 to 1.18). The associations between each factor and life expectancy and healthy longevity (no diagnosis of cardiovascular disease, type 2 diabetes, or cancer) were similar to those for longevity. Conclusions: During mid-life and late life, maximum longevity was achieved in participants who maintained a normal body mass index, never smoked, ate a healthy diet, and had physical activity levels and alcohol consumption that met public health recommendations.

Impact of transversus abdominis plane blocks versus non-steroidal anti-inflammatory on post-operative opioid use in ERAS ovarian cancer surgery.

BACKGROUND: Treatment of ovarian cancer often requires extensive surgical resection. The transversus abdominis plane (TAP) block has been utilized in benign gynecologic surgery to decrease post-operative pain and opioid use. We hypothesized that TAP blocks would decrease total opioid use in the first 24 hours and decrease length of stay following staging and cytoreductive surgery for ovarian cancer compared with either no local anesthetic or local wound infiltration alone. METHODS: All patients undergoing surgery for ovarian cancer from November 2016 to June 2017 were included in this retrospective cohort study. Median opioid use at 24, 48, and 72 hours post-operatively, as well as length of stay, were assessed. Multivariate median regression analysis was performed to adjust for potential confounders: post-operative non-steroidal anti-inflammatory drug (NSAID) usage, pre-operative opioid consumption, and extent of cytoreductive surgery. Length of stay was compared using Cox regression analysis. RESULTS: One-hundred-and-twenty patients were included in the analysis. Eighty-two patients had a TAP block, while 38 did not. After adjusting for potential confounders there was no difference in median 24 hours opioid consumption (p=0.29) or length of stay (HR 0.95, p=0.78) between patients receiving TAP block compared with those without. After adjusting for potential confounders, patients receiving scheduled NSAIDs had a 2.6-fold greater likelihood of being discharged (p<0.0005) and a significant reduction in median opioid use at 24 hours (23.5 vs 14.5 mg) (p=0.017) compared with those patients without NSAIDs. DISCUSSION: Post-operative administration of NSAIDs, but not TAP block, was associated with a decrease in post-operative opioid use and length of stay following surgery for ovarian cancer. Further investigation into alternative regional anesthetics for Enhanced Recovery after Surgery (ERAS) protocols is warranted.

Efficient Computation of Reduced Regression Models.

We consider settings where it is of interest to fit and assess regression submodels that arise as various explanatory variables are excluded from a larger regression model. The larger model is referred to as the full model; the submodels are the reduced models. We show that a computationally efficient approximation to the regression estimates under any reduced model can be obtained from a simple weighted least squares (WLS) approach based on the estimated regression parameters and covariance matrix from the full model. This WLS approach can be considered an extension to unbiased estimating equations of a first-order Taylor series approach proposed by Lawless and Singhal. Using data from the 2010 Nationwide Inpatient Sample (NIS), a 20% weighted, stratified, cluster sample of approximately 8 million hospital stays from approximately 1000 hospitals, we illustrate the WLS approach when fitting interval censored regression models to estimate the effect of type of surgery (robotic versus nonrobotic surgery) on hospital length-of-stay while adjusting for three sets of covariates: patient-level characteristics, hospital characteristics, and zip-code level characteristics. Ordinarily, standard fitting of the reduced models to the NIS data takes approximately 10 hours; using the proposed WLS approach, the reduced models take seconds to fit.

Bias-corrected estimates for logistic regression models for complex surveys with application to the United States' Nationwide Inpatient Sample.

For complex surveys with a binary outcome, logistic regression is widely used to model the outcome as a function of covariates. Complex survey sampling designs are typically stratified cluster samples, but consistent and asymptotically unbiased estimates of the logistic regression parameters can be obtained using weighted estimating equations (WEEs) under the naive assumption that subjects within a cluster are independent. Despite the relatively large samples typical of many complex surveys, with rare outcomes, many interaction terms, or analysis of subgroups, the logistic regression parameters estimates from WEE can be markedly biased, just as with independent samples. In this paper, we propose bias-corrected WEEs for complex survey data. The proposed method is motivated by a study of postoperative complications in laparoscopic cystectomy, using data from the 2009 United States' Nationwide Inpatient Sample complex survey of hospitals.

Approximate median regression for complex survey data with skewed response.

The ready availability of public-use data from various large national complex surveys has immense potential for the assessment of population characteristics using regression models. Complex surveys can be used to identify risk factors for important diseases such as cancer. Existing statistical methods based on estimating equations and/or utilizing resampling methods are often not valid with survey data due to complex survey design features. That is, stratification, multistage sampling, and weighting. In this article, we accommodate these design features in the analysis of highly skewed response variables arising from large complex surveys. Specifically, we propose a double-transform-both-sides (DTBS)'based estimating equations approach to estimate the median regression parameters of the highly skewed response; the DTBS approach applies the same Box-Cox type transformation twice to both the outcome and regression function. The usual sandwich variance estimate can be used in our approach, whereas a resampling approach would be needed for a pseudo-likelihood based on minimizing absolute deviations (MAD). Furthermore, the approach is relatively robust to the true underlying distribution, and has much smaller mean square error than a MAD approach. The method is motivated by an analysis of laboratory data on urinary iodine (UI) concentration from the National Health and Nutrition Examination Survey.

Impact of persistent and adolescent-limited antisocial behaviour on adult health outcomes.

BACKGROUND: Persistent engagement in antisocial behaviour across developmental periods is thought to increase the risk for early disease morbidity. However, less is known about potential adverse health outcomes among the much larger subset of individuals with antisocial behaviour limited to adolescence. METHODS: Using data from the Providence, Rhode Island cohort of the Collaborative Perinatal Project, we examined the association between developmentally based subtypes of antisocial behaviour and health outcomes (n=801). Official arrest records and self-reports of engagement in antisocial behaviour were used to classify participants into antisocial groups (persistent into adulthood, adolescent-limited, no significant problems) that were contrasted across important adult health indicators. RESULTS: With few exceptions, those with persistent antisocial behaviour had the highest prevalence of each health problem. Compared to those with no antisocial behaviour, participants with persistent problems had poorer overall health and significantly elevated odds of cardiovascular problems, wheezing, lower back pain, cancer, serious injury and emergency department visits. Those with adolescent-limited behaviour experienced significantly increased odds of health concerns including poorer overall health, hypercholesterolaemia, acute respiratory problems and wheezing, lower back pain and emergency department visits compared to participants with no antisocial behaviour. Both antisocial groups reported barriers to healthcare access. CONCLUSIONS: Findings highlight the impact of persistent antisocial behaviour on adult health, and suggest that antisocial behaviour limited to adolescence is also an important marker of poor health. Given that antisocial behaviour during adolescence is an important early marker of adverse health outcomes, youth exhibiting serious behavioural problems should be targeted for preventive interventions.

A prospective investigation of neurodevelopmental risk factors for adult antisocial behavior combining official arrest records and self-reports.

Neurodevelopmental deficits are postulated to play an important role in the etiology of persistent antisocial behavior (ASB). Yet it remains uncertain as to which particular deficits are most closely associated with ASB. We seek to advance this understanding using prospectively collected data from a birth cohort in which multiple indices of neurodevelopmental functioning and ASB were assessed. Participants (n = 2776) were members of the Providence, Rhode Island cohort of the Collaborative Perinatal Project. Information on demographic and neurodevelopmental variables was collected from pregnancy through age 7. When all offspring had reached 33 years of age an adult criminal record check was conducted. A subset of subjects also self-reported on their engagement in serious ASB. Bivariate logistic regression was used to examine the relationship between each neurodevelopmental factor and adult ASB and test whether associations varied depending on how ASB was ascertained. After controlling for background and contextual characteristics, maternal smoking during pregnancy, lower childhood verbal and performance IQ, and age 7 aggressive/impulsive behavior all significantly increased the odds of adult ASB. Associations were not modified by sex and did not depend on how ASB was assessed. However, while both males and Black participants were more likely to engage in ASB than their respective female and White counterparts, relationships were significantly stronger for official records than for self-reports. Results point to a particular subset of early neurodevelopmental risks for antisocial outcomes in adulthood. Findings also suggest that prior contradictory results are not due to the use of official records versus self-reported outcomes.

Improving the efficiency of drug use disorder screening in psychiatric settings: validation of a single-item screen.

BACKGROUND: Co-occurring drug use disorders are under-detected in psychiatrically ill populations highlighting the need for more efficient screening tools. OBJECTIVES: This study compares a single-item screening tool, previously validated in a primary care setting, to the 10-item Drug Abuse Screening Test (DAST-10) for identifying co-occurring drug use disorders among patients with severe psychiatric illness. METHODS: A total of 395 patients attending a psychiatric partial hospital program completed both the single-item screen and DAST-10. A subsample of consecutive patients (n = 67) was also administered the Structure Clinical Interview for DSM-IV (SCID-IV) as a diagnostic reference standard. RESULTS: Concordance between screening measures was moderate (κ = 0.4, p < 0.01). Sensitivity and specificity of the single-item screen and DAST-10 as compared to the SCID-IV were comparable, while area under the receiver operating curve showed better discriminatory power for the identification of drug use disorders with the single-item screen. CONCLUSIONS: In comparison to the DAST-10, the single-item screen appears to be a more efficient tool to identify co-occurring drug use disorders in a psychiatric treatment setting among patients with a range of psychiatric diagnoses.

Using the jackknife for estimation in log link Bernoulli regression models.

Bernoulli (or binomial) regression using a generalized linear model with a log link function, where the exponentiated regression parameters have interpretation as relative risks, is often more appropriate than logistic regression for prospective studies with common outcomes. In particular, many researchers regard relative risks to be more intuitively interpretable than odds ratios. However, for the log link, when the outcome is very prevalent, the likelihood may not have a unique maximum. To circumvent this problem, a 'COPY method' has been proposed, which is equivalent to creating for each subject an additional observation with the same covariates except the response variable has the outcome values interchanged (1's changed to 0's and 0's changed to 1's). The original response is given weight close to 1, while the new observation is given a positive weight close to 0; this approach always leads to convergence of the maximum likelihood algorithm, except for problems with convergence due to multicollinearity among covariates. Even though this method produces a unique maximum, when the outcome is very prevalent, and/or the sample size is relatively small, the COPY method can yield biased estimates. Here, we propose using the jackknife as a bias-reduction approach for the COPY method. The proposed method is motivated by a study of patients undergoing colorectal cancer surgery.

Identifying patients with problematic drug use in the emergency department: results of a multisite study.

STUDY OBJECTIVE: Drug-related emergency department (ED) visits have steadily increased, with substance users relying heavily on the ED for medical care. The present study aims to identify clinical correlates of problematic drug use that would facilitate identification of ED patients in need of substance use treatment. METHODS: Using previously validated tests, 15,224 adult ED patients across 6 academic institutions were prescreened for drug use as part of a large randomized prospective trial. Data for 3,240 participants who reported drug use in the past 30 days were included. Self-reported variables related to demographics, substance use, and ED visit were examined to determine their correlative value for problematic drug use. RESULTS: Of the 3,240 patients, 2,084 (64.3%) met criteria for problematic drug use (Drug Abuse Screening Test score ≥ 3). Age greater than or equal to 30 years, tobacco smoking, daily or binge alcohol drinking, daily drug use, primary noncannabis drug use, resource-intense ED triage level, and perceived drug-relatedness of ED visit were highly correlated with problematic drug use. Among primary cannabis users, correlates of problematic drug use were age younger than 30 years, tobacco smoking, binge drinking, daily drug use, and perceived relatedness of the ED visit to drug use. CONCLUSION: Clinical correlates of drug use problems may assist the identification of ED patients who would benefit from comprehensive screening, intervention, and referral to treatment. A clinical decision rule is proposed. The correlation between problematic drug use and resource-intense ED triage levels suggests that ED-based efforts to reduce the unmet need for substance use treatment may help decrease overall health care costs.

Almost efficient estimation of relative risk regression.

Relative risks (RRs) are often considered the preferred measures of association in prospective studies, especially when the binary outcome of interest is common. In particular, many researchers regard RRs to be more intuitively interpretable than odds ratios. Although RR regression is a special case of generalized linear models, specifically with a log link function for the binomial (or Bernoulli) outcome, the resulting log-binomial regression does not respect the natural parameter constraints. Because log-binomial regression does not ensure that predicted probabilities are mapped to the [0,1] range, maximum likelihood (ML) estimation is often subject to numerical instability that leads to convergence problems. To circumvent these problems, a number of alternative approaches for estimating RR regression parameters have been proposed. One approach that has been widely studied is the use of Poisson regression estimating equations. The estimating equations for Poisson regression yield consistent, albeit inefficient, estimators of the RR regression parameters. We consider the relative efficiency of the Poisson regression estimator and develop an alternative, almost efficient estimator for the RR regression parameters. The proposed method uses near-optimal weights based on a Maclaurin series (Taylor series expanded around zero) approximation to the true Bernoulli or binomial weight function. This yields an almost efficient estimator while avoiding convergence problems. We examine the asymptotic relative efficiency of the proposed estimator for an increase in the number of terms in the series. Using simulations, we demonstrate the potential for convergence problems with standard ML estimation of the log-binomial regression model and illustrate how this is overcome using the proposed estimator. We apply the proposed estimator to a study of predictors of pre-operative use of beta blockers among patients undergoing colorectal surgery after diagnosis of colon cancer.

The use of prescription opioid medication by patients with borderline personality disorder and axis II comparison subjects: a 10-year follow-up study.

OBJECTIVE: The first purpose was to determine the rate of use of prescription opioid medication reported by patients with borderline personality disorder and to compare that to the rate reported by Axis II comparison subjects during a 10-year period of prospective follow-up. The second purpose was to determine the most clinically relevant predictors of prescription opioid use among borderline patients. METHOD: The medical conditions and Axis I disorders of 264 borderline patients and 63 Axis II comparison subjects were assessed at 6-year follow-up and 5 contiguous follow-up waves that were 2 years apart. These assessments were conducted between July 1998 and December 2010. Family history of psychiatric disorder was assessed at baseline by interviewers blind to the diagnostic status of the subjects. All 3 areas were assessed using semistructured interviews with proven psychometric properties: the Medical History and Services Utilization Interview (MHSUI), the Structured Clinical Interview for DSM-III-R Axis I Disorders (SCID-I), and the Revised Family History Questionnaire. RESULTS: Borderline patients were significantly more likely to report the use of prescription opioid medication over time than Axis II comparison subjects (OR = 1.79; 95% CI, 1.01-3.17). The best predictors of opioid use among borderline patients were the time-varying presence of back pain (OR = 1.95; 95% CI, 1.41-2.70), fibromyalgia (OR = 3.29; 95% CI, 1.70-6.36), and osteoarthritis (OR =3.32; 95% CI, 2.08-5.29) as well as a baseline history of drug abuse (OR= 1.89; 95% CI, 1.27-2.81). CONCLUSIONS: The sustained use of prescription opioids is common among and discriminating for patients with borderline personality disorder. The results also suggest that these borderline patients may be particularly sensitive to physical pain-mirroring their well-known heightened sensitivity to emotional pain.

Bias correction for the proportional odds logistic regression model with application to a study of surgical complications.

The proportional odds logistic regression model is widely used for relating an ordinal outcome to a set of covariates. When the number of outcome categories is relatively large, the sample size is relatively small, and/or certain outcome categories are rare, maximum likelihood can yield biased estimates of the regression parameters. Firth (1993) and Kosmidis and Firth (2009) proposed a procedure to remove the leading term in the asymptotic bias of the maximum likelihood estimator. Their approach is most easily implemented for univariate outcomes. In this paper, we derive a bias correction that exploits the proportionality between Poisson and multinomial likelihoods for multinomial regression models. Specifically, we describe a bias correction for the proportional odds logistic regression model, based on the likelihood from a collection of independent Poisson random variables whose means are constrained to sum to 1, that is straightforward to implement. The proposed method is motivated by a study of predictors of post-operative complications in patients undergoing colon or rectal surgery (Gawande et al., 2007).

Effectiveness of alcohol treatment interventions integrated into routine tuberculosis care in Tomsk, Russia.

AIMS: To test the feasibility and effectiveness of brief counseling intervention (BCI) and naltrexone integrated into tuberculosis (TB) care in Tomsk, Russia. DESIGN: Using a factorial randomized controlled trial design, patients were randomized into: naltrexone (NTX), brief behavioral compliance enhancement therapy (BBCET), treatment as usual (TAU) and BCI. SETTING AND PARTICIPANTS: In the Tomsk Oblast, hospitalized TB patients diagnosed with alcohol use disorders (AUDs) by the DSM-IV were referred at the start of TB treatment. Of the 196 participants, the mean age was 41 years and 82% were male. Severe TB (84.7% had cavitary disease) and smoking (92.9%) were common. The majority had a diagnosis of an AUD (63.0%); 27.6% reported nearly daily drinking and consumed a median of 16 standard drinks per day. MEASUREMENTS: Primary outcomes were 'favorable' TB outcome (cured, completed treatment) and change in mean number of abstinent days in the last month of study compared with baseline. Change in mean number of heavy drinking days, defined as four drinks per day and five drinks per day for women and men, respectively, and TB adherence, measured as percentage of doses taken as prescribed under direct observation, were secondary outcomes. Analysis based on 'intention-to-treat' was performed for multivariable analysis. FINDINGS: Primary TB and alcohol end-points between naltrexone and no-naltrexone or BCI and no-BCI groups did not differ significantly. TB treatment adherence and change in number of heavy drinking days also did not differ significantly among treatment arms. Among individuals with a prior quitting attempt (n = 111), naltrexone use was associated with an increased likelihood of favorable TB outcomes (92.3% versus 75.9%, P = 0.02). CONCLUSIONS: In Tomsk Oblast, Russia, tuberculosis patients with severe alcohol use disorders who were not seeking alcohol treatment did not respond to naltrexone or behavioral counselling integrated into tuberculosis care; however, those patients with past attempts to quit drinking had improved tuberculosis outcomes.

Surveillance after resection for colorectal cancer.

BACKGROUND: Professional societies recommend posttreatment surveillance for colorectal cancer (CRC) survivors. This study describes the use of surveillance over time, with a particular focus on racial/ethnic disparities, and also examines the role of area characteristics, such as capacity for CRC screening, on surveillance. METHODS: Surveillance, Epidemiology, and End Results (SEER)-Medicare data were used to identify individuals aged 66 to 85 years who were diagnosed with CRC from 1993 to 2005 and treated with surgery. The study examined factors associated with subsequent receipt of a colonoscopy, carcinoembryonic antigen (CEA) testing, primary care (PC) visits, and a composite measure of overall surveillance. RESULTS: Of eligible subjects, 61.0% had a colonoscopy, 68.0% had CEA testing, 77.1% had PC visits, and 43.0% received overall surveillance. After adjustment, blacks were less likely than whites to undergo colonoscopy (odds ratio [OR] 0.76, 95% confidence interval [CI] = 0.69-0.83) and to receive CEA testing and overall surveillance, whereas white/Hispanic rates did not differ. Rates for all outcomes increased from 1993 to 2005, but black/white disparities remained. Individuals in areas with greatest capacity for CRC screening were more likely (OR = 1.09, 95% CI = 1.02-1.18) to receive colonoscopy, and those in areas with the greatest percentage of blacks were less likely (OR = 0.89, 95% CI = 0.83-0.95) to receive colonoscopy. Those living in areas with shortage of PC were less likely to receive PC visits (OR = 0.55, 95% CI = 0.48-0.64) and overall surveillance (OR = 0.83, 95% CI = 0.71-0.98). CONCLUSIONS: Many CRC survivors do not get recommended surveillance, and black/white disparities in rates of surveillance have not improved. Characteristics of the area where an individual lives contribute to the use of surveillance.

Use of annual mammography among older women with ductal carcinoma in situ.

BACKGROUND: As ductal carcinoma in situ (DCIS) is a risk factor for invasive breast cancer, ongoing annual mammography is important for cancer control, yet little is known about racial/ethnic and other disparities in use among older women with DCIS. METHODS: SEER-Medicare data was used to identify women age 65-85 years, diagnosed with DCIS from 1992 to 2005 and treated with surgery, but not bilateral mastectomy. We examined factors associated with receipt of an initial mammogram within 1 year of treatment and subsequent annual mammograms for 3 and 5 years. We examined whether follow-up care, by a primary care physician or cancer specialist, or neighborhood characteristics mediated disparities in mammography use. RESULTS: Overall, 91.3% of women had an initial mammogram. After adjustment, blacks and Hispanics were less likely than whites to receive an initial mammogram (odds ratio (OR) 0.74, 95% confidence interval (CI) 0.55-0.99 and OR 0.65, CI 0.46-0.93, respectively, as were women of lower socioeconomic status (SES), women who had a mastectomy or breast conserving surgery without radiation therapy, and women who did not have a physician visit. Overall rates of annual mammography decreased over time. Disparities by SES, initial treatment type, and physician visit did not diminish over time. Physician visits had a modest effect on reducing initial racial/ethnic disparities. CONCLUSIONS: Annual mammography among women age 65 to 85 with DCIS declines as women get further from diagnosis. Interventions should focus on reducing disparities in the use of initial surveillance mammography, and increasing surveillance over time.

Association of area sociodemographic characteristics and capacity for treatment with disparities in colorectal cancer care and mortality.

BACKGROUND: Disparities in treatment and mortality for colorectal cancer (CRC) may reflect differences in access to specialized care or other characteristics of the area where an individual lives. METHODS: Surveillance, Epidemiology and End Results Program-Medicare data for seniors diagnosed with CRC were linked to area measures of the sociodemographic characteristics and the capacity of surgeons, medical oncologists, and radiation oncologists. Outcomes included receipt of stage-appropriate CRC care and mortality. RESULTS: After adjustment, blacks and Hispanics were less likely than whites to undergo surgery (odds ratio [OR] 0.57, 95% confidence interval (CI) 0.52-0.63 and OR 0.82, 95% CI 0.70-0.95, respectively). Individuals who lived in areas with the highest tertile of surgeon capacity were more likely to undergo resection than those in the lowest, and use of surgery declined as the percentage of blacks in the area increased. Adjustment for the area measures resulted in a modest decline in disparities in care relative to whites (5.3% for black). Blacks also experienced greater all-cause and cancer-specific mortality than whites. Further adjustment for area sociodemographics and surgeon capacity reduced the disparity in mortality between blacks and whites. Although there was a similar black/white disparity in the use of adjuvant chemotherapy, the disparity remained after adjustment for area characteristics, although use of chemotherapy was greater in areas with the greatest capacity of medical oncologists. CONCLUSIONS: Sociodemographic characteristics and measures of the availability of specialized cancer providers in the area in which an individual resides modestly mediated disparities in the receipt of CRC care and mortality, suggesting that other factors may also be important.

Maternal smoking during pregnancy and criminal offending among adult offspring.

BACKGROUND: Although a number of previous studies have reported an association between maternal smoking during pregnancy (MSP) and externalising behaviour problems among offspring, it has been suggested that this relationship is spurious due to the failure of these studies to properly account for important confounding factors. METHODS: The relationship between MSP and adult criminal offending was examined using data from 3766 members of the Providence, Rhode Island, cohort of the Collaborative Perinatal Project. Information on MSP and most potential confounders was collected prospectively throughout pregnancy. In 1999-2000 all offspring had reached 33 years of age and an adult criminal record check was performed. Because previous research has been criticised for not properly accounting for confounding influences, our primary aim was to determine whether the MSP-criminal offending relationship held after efficiently adjusting for a wide range of sociodemographic and family background characteristics using propensity score methods. RESULTS: The association between MSP and adult criminal offending remained after controlling for propensity scores. Offspring of mothers who smoked heavily during pregnancy (≥20 cigarettes per day) had the greatest odds of an adult arrest record (OR 1.31, 95% CI 1.06 to 1.62). Findings also suggest that MSP may be an independent risk factor for adult criminal histories marked by multiple arrests. Lastly, our findings show that the impact of MSP operates similarly across both genders. CONCLUSION: Results from this study provide evidence of an association between heavy MSP and long-term criminal offending. Any causal association is likely to be weak to moderate in strength.