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Background With the advent of modern endoscopes and a better anatomic understanding of the skull base, the indications of endonasal approaches are increasing. These procedures may be complicated by high rates of postoperative cerebrospinal fluid (CSF) leak, and reconstruction of the defect remains challenging. In the anterior skull base, vascularized grafts have been reported as superior in preventing CSF leakage and infection. The Hadad-Bassagasteguy flap, being a pedicled flap, is our first line flap to reconstruct the skull base. When we were not successful with this flap, we resorted to different flaps. Objective We modified the originally described temporoparietal fascial flap by Fortes et al and applied clinically. The objective of this paper is to briefly describe the modification of the flap and to review the clinical outcome. Methods From 2014 to 2018, in 6 cases of CSF leak with the appropriate indication, we used the temporoparietal myofascial flap repair that is a modification of the temporoparietal fascial flap by Fortes et al. We took all the 6 patients in our study and followed them up. Results All of the 6 repairs were successful, and no CSF leak was found just after the operation in 6- to 48-month follow-up. Conclusion We recommend our modified novel temporoparietal myofascial flap as a very good option in case of failed cases of postoperative CSF leak.

Background and aim Medically managed opioid withdrawal (detox) can increase the risk of subsequent opioid overdose. We assessed the association between mortality following detox and receipt of medications for opioid use disorder (MOUD) and residential treatment after detox. Design Cohort study generated from individually linked public health data sets. Setting Massachusetts, USA. Participants A total of 30 681 opioid detox patients with 61 819 detox episodes between 2012 and 2014. Measurements Treatment categories included no post-detox treatment, MOUD, residential treatment or both MOUD and residential treatment identified at monthly intervals. We classified treatment exposures in two ways: (a) 'on-treatment' included any month where a treatment was received and (b) 'with-discontinuation' individuals were considered exposed through the month following treatment discontinuation. We conducted multivariable Cox proportional hazards analyses and extended Kaplan-Meier estimator cumulative incidence for all-cause and opioid-related mortality for the treatment categories as monthly time-varying exposure variables. Findings Twelve months after detox, 41% received MOUD for a median of 3 months, 35% received residential treatment for a median of 2 months and 13% received both for a median of 5 months. In on-treatment analyses for all-cause mortality compared with no treatment, adjusted hazard ratios (AHR) were 0.34 [95% confidence interval (CI) = 0.27-0.43] for MOUD, 0.63 (95% CI = 0.47-0.84) for residential treatment and 0.11 (95% CI = 0.03-0.43) for both. In with-discontinuation analyses for all-cause mortality, compared with no treatment, AHRs were 0.52 (95% CI = 0.42-0.63) for MOUD, 0.76 (95% CI = 0.59-0.96) for residential treatment and 0.21 (95% CI = 0.08-0.55) for both. Results were similar for opioid-related overdose mortality. Conclusions Among people who have undergone medically managed opioid withdrawal, receipt of medications for opioid use disorder, residential treatment or the combination of medications for opioid use disorder and residential treatment were associated with substantially reduced mortality compared with no treatment.

Aims To examine how the risks of incident opioid use disorder (OUD), non-fatal and fatal overdose have changed over time among opioid-naive individuals receiving an initial opioid prescription. Design Retrospective, longitudinal study using the Massachusetts Chapter 55 data set, which linked multiple administrative data sets to study the opioid epidemic. We identified the cumulative incidence of OUD, non-fatal and fatal overdose among the opioid-naive initiating opioid treatment in Massachusetts from 2011 to 2014 and estimated rates of these outcomes at 6 months and at 1, 2, 3 and 4 years to 2015. We used Cox regression to examine the association between characteristics of the initial prescription and risk of these outcomes. Setting Massachusetts, USA. Participants Massachusetts residents aged ≥ 11 years in 2011-15 who were opioid-naive (no opioid prescriptions or evidence of OUD in the 6 months prior to the index prescription) (n = 2 154 426). The mean age was 49.1 years, 55.3% were female and 47.3% had commercial insurance. Measurements Opioid prescriptions were identified in the Prescription Monitoring Program (PMP) database, as were the characteristics of the initial prescription database. The outcomes of OUD and non-fatal overdose were identified from claims in the All Payer Claims Database (APCD) and hospital encounters in the acute hospital case mix files. Fatal overdoses were identified using Registry of Vital Records and Statistics (RVRS) death certificates and the Office of the Chief Medical Examiner (OCME) circumstances of death and toxicology reports. Findings Among opioid-naive individuals receiving an initial opioid prescription, the risk of incident OUD appears to have declined between 2011 and 2014, while rates of overdose were largely unchanged. For example, the 1-year OUD rate was 1.18% in 2011, 1.11% in 2012, 1.26% in 2013 and 0.94% in 2014. Longer therapy duration was associated with higher risk of OUD [hazard ratio (HR) = 2.24, 95% confidence interval (CI) = 2.19-2.29 for duration of 3 or more months], non-fatal (HR = 1.67, 95% CI = 1.53-1.82) and fatal opioid overdose (HR = 2.24, 95% CI = 1.91-2.61). Concurrent benzodiazepine treatment was also associated with higher risk of OUD (HR = 1.14, 95% CI = 1.12-1.17), non-fatal (HR = 1.20, 95% CI = 1.10-1.30) and fatal overdose (HR = 1.86, 95% CI = 1.61-2.16). Conclusions Among opioid-naive individuals in Massachusetts receiving an initial opioid prescription, the risk of incident opioid use disorder appears to have declined between 2011 and 2014, while rates of overdose were largely unchanged. Longer therapy duration and concurrent benzodiazepines were associated with higher rates of opioid use disorder and opioid overdose.

Objectives: Opioid-related overdoses are commonly attributed to prescription opioids. We examined data on opioid-related overdose decedents in Massachusetts. For each decedent, we determined which opioid medications had been prescribed and dispensed and which opioids were detected in postmortem medical examiner toxicology specimens. Methods: Among opioid-related overdose decedents in Massachusetts during 2013-2015, we analyzed individually linked postmortem opioid toxicology reports and prescription drug monitoring program records to determine instances of overdose in which a decedent had a prescription active on the date of death for the opioid(s) detected in the toxicology report. We also calculated the proportion of overdoses for which prescribed opioid medications were not detected in decedents’ toxicology reports. Results: Of 2916 decedents with complete toxicology reports, 1789 (61.4%) had heroin and 1322 (45.3%) had fentanyl detected in postmortem toxicology reports. Of the 491 (16.8%) decedents with ≥1 opioid prescription active on the date of death, prescribed opioids were commonly not detected in toxicology reports, specifically: buprenorphine (56 of 97; 57.7%), oxycodone (93 of 176; 52.8%), and methadone prescribed for opioid use disorder (36 of 112; 32.1%). Only 39 (1.3%) decedents had an active prescription for each opioid detected in toxicology reports on the date of death. Conclusion: Linking overdose toxicology reports to prescription drug monitoring program records can help attribute overdoses to prescribed opioids, diverted prescription opioids, heroin, and illicitly made fentanyl.

Objectives. To estimate the annual prevalence of opioid use disorder (OUD) in Massachusetts from 2011 to 2015. Methods. We performed a multisample stratified capture–recapture analysis to estimate OUD prevalence in Massachusetts. Individuals identified from 6 administrative databases for 2011 to 2012 and 7 databases for 2013 to 2015 were linked at the individual level and included in the analysis. Individuals were stratified by age group, sex, and county of residence. Results. The OUD prevalence in Massachusetts among people aged 11 years or older was 2.72% in 2011 and 2.87% in 2012. Between 2013 and 2015, the prevalence increased from 3.87% to 4.60%. The greatest increase in prevalence was observed among those in the youngest age group (11–25 years), a 76% increase from 2011 to 2012 and a 42% increase from 2013 to 2015. Conclusions. In Massachusetts, the OUD prevalence was 4.6% among people 11 years or older in 2015. The number of individuals with OUD is likely increasing, particularly among young people.

Each of Kant’s three Critiques offers an account of the nature of a mental faculty and arrives at this account by means of a procedure I call ‘faculty analysis’. Faculty analysis is often regarded as among the least defensible aspects of Kant’s position; as a consequence, philosophers seeking to inherit Kantian ideas tend to transpose them into a different methodological context. I argue that this is a mistake: in fact faculty analysis is a live option for philosophical inquiry today. My argument is as follows: Faculty analysis is a live option for certain kinds of philosophical theories if so-called “agentialist” views about the nature of belief are correct. There are good reasons for thinking that such views are correct. So faculty analysis should not be dismissed out of hand. Since the first premise in this argument bears a lot of weight, a large part of the paper is devoted to clarifying and defending it, in part by arguing that Kant himself holds a version of agentialism about belief.

Background Recent studies have demonstrated the effectiveness of family-centered, pediatric weight management programs in reducing childhood obesity. Yet, programs to optimize the care of low-income children with obesity are needed. We sought to examine the comparative effectiveness of two, potentially scalable pediatric weight management programs delivered to low-income children in a clinical or community setting. Materials and methods The Clinic and Community Approaches to Healthy Weight Trial is a randomized trial in two communities in Massachusetts that serve a large population of low-income children and families. The two-arm trial compares the effects of a pediatric weight management program delivered in the Healthy Weight Clinics of two federally qualified health centers (FQHC) to the Healthy Weight and Your Child programs delivered in two YMCAs. Eligible children are 6 to 12 years old with a body mass index (BMI) ≥ 85th percentile seen in primary care at the two FQHCs. Both programs are one-year in duration and have at least 30 contact hours throughout the year. Measures are collected at baseline, 6 months, and 1 year. The main outcome is 1-year change in BMI (kg/m2) and percent change of the 95th percentile (%BMIp95). Conclusion The Clinic and Community Approaches to Healthy Weight Trial seeks to 1) examine the comparative effects of a clinical and community based intervention in improving childhood obesity, and 2) inform the care of >7 million children with obesity covered by the Children's Health Insurance Program or Medicaid.

Objective To examine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project compared to controls. Methods MA-CORD was implemented in two low-income communities. School-level prevalence of obesity among students in first, fourth, and seventh grades was calculated for the intervention communities and nine matched control communities pre and post intervention. Fourth- and seventh-grade students’ self-reported health behaviors were measured in intervention communities at baseline and post intervention. Results Among seventh-graders (the student group with greatest intervention exposure), a statistically significant decrease in prevalence of obesity from baseline to post intervention in Community 2 (−2.68%, P = 0.049) and a similar but nonsignificant decrease in Community 1 (−2.24%, P = 0.099) was observed. Fourth- and seventh-grade students in both communities were more likely to meet behavioral targets post intervention for sugar-sweetened beverages (both communities: P

Objective To examine the extent to which a clinical intervention resulted in reduced BMI z scores among 2- to 12-year-old children compared to routine practice (treatment as usual [TAU]). Methods The Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project is a multifaceted initiative to prevent childhood obesity among low-income children. At the federally qualified community health centers (FQHCs) of two communities (Intervention Site #1 and #2), the following were implemented: (1) pediatric weight management training, (2) electronic decision supports for clinicians, (3) on-site Healthy Weight Clinics, (4) community health worker integration, and (5) healthful clinical environment changes. One FQHC in a demographically matched community served as the TAU site. Using electronic health records, we assessed BMI z scores and used linear mixed models to examine BMI z score change over 2 years in each intervention site compared to a TAU site. Results Compared to children in the TAU site (n = 2,286), children in Intervention Site #2 (n = 1,368) had a significant decline in BMI z scores following the start of the intervention (−0.16 units/y; 95% confidence interval: −0.21 to −0.12). No evidence of an effect was found in Intervention Site #1 (n = 111). Conclusions The MA-CORD clinical interventions were associated with modest improvement in BMI z scores in one of two intervention communities compared to a TAU community.

Introduction Massachusetts developed and used bidirectional electronic referrals to connect clinical patients across the state to interventions run by community organizations. The objective of our study was to determine whether the use of Massachusetts's electronic referral system (MA e-Referral) reached racial/ethnic groups experiencing health disparities and whether it was associated with improved health outcomes. Methods We assembled encounter-level medical records from September 2013 through June 2017 for patients at Massachusetts clinics funded by the Clinical Community Partnerships for Prevention into 2 cohorts. First, all patients meeting program eligibility guidelines for an e-Referral (N = 21,701) were examined to assess the distribution of e-Referrals among populations facing health disparities; second, a subset of 3,817 people with hypertension were analyzed to detect changes in blood pressure after e-Referral to an evidence-based community intervention. Results Non-Hispanic black (OR, 1.4; 95% confidence interval [CI], 1.2-1.6) and Hispanic patients (OR, 1.3; 95% CI, 1.1-1.4) had higher odds than non-Hispanic white patients of being referred electronically. Patients completing their hypertension intervention had 74% (95% CI, 1.2-2.5) higher odds of having an in-control blood pressure reading than patients who were not electronically referred. Conclusion Clinical to community linkage to interventions through MA e-Referral reached non-Hispanic black, Hispanic, and Spanish-speaking populations and was associated with improved blood pressure control.

Background Medical care, public health, and criminal justice systems encounters could serve as touchpoints to identify and intervene with individuals at high-risk of opioid overdose death. The relative risk of opioid overdose death and proportion of deaths that could be averted at such touchpoints are unknown. Methods We used 8 individually linked data sets from Massachusetts government agencies to perform a retrospective cohort study of Massachusetts residents ages 11 and older. For each month in 2014, we identified past 12-month exposure to 4 opioid prescription touchpoints (high dosage, benzodiazepine co-prescribing, multiple prescribers, or multiple pharmacies) and 4 critical encounter touchpoints (opioid detoxification, nonfatal opioid overdose, injection-related infection, and release from incarceration). The outcome was opioid overdose death. We calculated Standardized Mortality Ratios (SMRs) and Population Attributable Fractions (PAFs) associated with touchpoint exposure. Results The cohort consisted of 6,717,390 person-years of follow-up with 1315 opioid overdose deaths. We identified past 12-month exposure to any touchpoint in 2.7% of person-months and for 51.8% of opioid overdose deaths. Opioid overdose SMRs were 12.6 (95% CI: 11.1, 14.1) for opioid prescription and 68.4 (95% CI: 62.4, 74.5) for critical encounter touchpoints. Fatal opioid overdose PAFs were 0.19 (95% CI: 0.17, 0.21) for opioid prescription and 0.37 (95% CI: 0.34, 0.39) for critical encounter touchpoints. Conclusions Using public health data, we found eight candidate touchpoints were associated with increased risk of fatal opioid overdose, and collectively identified more than half of opioid overdose decedents. These touchpoints are potential targets for development of overdose prevention interventions.

The aim of this study was to evaluate whether veterans in Massachusetts receiving opioids and/or benzodiazepines from both Veterans Health Administration (VHA) and non-VHA pharmacies are at higher risk of adverse events compared with those receiving opioids at VHA pharmacies only.A cohort study of veterans who filled a prescription for any Schedule II through V substance at a Massachusetts VHA pharmacy. Prescriptions were recorded in the Massachusetts Department of Public Health Chapter 55 data set.The study sample included 16,866 veterans residing in Massachusetts, of whom 9238 (54.8%) received controlled substances from VHA pharmacies only and 7628 (45.2%) had filled prescriptions at both VHA and non-VHA pharmacies ("dual care users") between October 1, 2013, and December 31, 2015. Our primary outcomes were nonfatal opioid overdose, fatal opioid overdose, and all-cause mortality.Compared with VHA-only users, more dual care users resided in rural areas (12.6% vs 10.6%), received high-dose opioid therapy (26.3% vs 7.3%), had concurrent prescriptions of opioids and benzodiazepines (34.8% vs 8.2%), and had opioid use disorder (6.8% vs 1.6%) (P.0001 for all). In adjusted models, dual care users had higher odds of nonfatal opioid overdose (odds ratio [OR], 1.29; 95% CI, 0.98-1.71) and all-cause mortality (OR, 1.66; 95% CI, 1.43-1.93) compared with VHA-only users. Dual care use was not associated with fatal opioid overdoses.Among veterans in Massachusetts, receipt of opioids from multiple sources was associated with worse outcomes, specifically nonfatal opioid overdose and mortality. Better information sharing between VHA and non-VHA pharmacies and prescribers has the potential to improve patient safety.

Homelessness is poorly captured in most administrative data sets making it difficult to understand how, when, and where this population can be better served. This study sought to develop and validate a classification model of homelessness. Our sample included 5,050,639 individuals aged 11 years and older who were included in a linked dataset of administrative records from multiple state-maintained databases in Massachusetts for the period from 2011–2015. We used logistic regression to develop a classification model with 94 predictors and subsequently tested its performance. The model had high specificity (95.4%), moderate sensitivity (77.8%) for predicting known cases of homelessness, and excellent classification properties (area under the receiver operating curve 0.94; balanced accuracy 86.4%). To demonstrate the potential opportunity that exists for using such a modeling approach to target interventions to mitigate the risk of an adverse health outcome, we also estimated the association between model predicted homeless status and fatal opioid overdoses, finding that model predicted homeless status was associated with a nearly 23-fold increase in the risk of fatal opioid overdose. This study provides a novel approach for identifying homelessness using integrated administrative data. The strong performance of our model underscores the potential value of linking data from multiple service systems to improve the identification of housing instability and to assist government in developing programs that seek to improve health and other outcomes for homeless individuals.

BACKGROUND/OBJECTIVES: Potentially inappropriate opioid prescribing (PIP) may contribute to risk for fatal opioid overdose among older adults (age 50+). Our objective was to examine the effect of age on the likelihood of PIP exposure, as well as the effect of PIP exposure on adverse outcomes. DESIGN: Retrospective cohort study SETTING: Data from multiple state agencies in Massachusetts, 2011–2015 PARTICIPANTS: Over 3 million adult Massachusetts residents (3,078,163) who received at least one prescription opioid during the study period; approximately half (1,589,365) were older adults (age 50+). MEASUREMENTS: We measured exposure to five types of PIP: high-dose opioids, co-prescription with benzodiazepines, multiple opioid prescribers, multiple opioid pharmacies, and continuous opioid therapy without a pain diagnosis. We examined three adverse outcomes: non-fatal opioid overdose, fatal opioid overdose, and all-cause mortality. RESULTS: The rate of any PIP exposure increased with age, ranging from 2% among individuals age 18–29 to 14% among those age 50 and older. Older adults also had elevated rates of exposure to two or more different types of PIP, including 5% of adults age 50–69 and 4% of adults age 70 or older, in comparison to 2.5% of age 40–49 and lower percentages in younger age groups. Among covariates assessed, increasing age was the greatest positive predictor of PIP exposure. In analyses stratified by age, exposure to both any PIP and specific types of PIP were associated with non-fatal overdose, fatal overdose, and all-cause mortality among both younger and older adults. CONCLUSION: Older adults are more likely to be exposed to PIP, which elevates their risk for adverse events. Strategies to reduce exposure to PIP, and to improve outcomes among those already exposed, will be instrumental to addressing the opioid crisis as it manifests among older adults.

BACKGROUND: Opioid-related overdoses and deaths among adolescents in the United States continue to increase, but little is known about adolescents who experience opioid-related non-fatal overdose (NFOD). Our objective was to describe (1) the characteristics of adolescents aged 11-17 who experienced NFOD and (2) their receipt of medications for opioid use disorder (MOUD) in the 12 months following NFOD, compared with adults. METHODS: We created a retrospective cohort using six Massachusetts state agency datasets linked at the individual level, with information on 98% of state residents. Individuals entered the cohort if they experienced NFOD between January 1, 2012 and December 31, 2014. We compared adolescents to adults experiencing NFOD, examining individual characteristics and receipt of medications for opioid use disorder (MOUD)—methadone, buprenorphine, or naltrexone. RESULTS: Among 22,506 individuals who experienced NFOD during the study period, 195 (0.9%) were aged 11-17. Fifty-two percent (102/195) of adolescents were female, whereas only 38% of adults were female (P

INTRODUCTION: Opioid overdose deaths quintupled in Massachusetts between 2000 and 2016. Potentially inappropriate opioid prescribing practices (PIP) are associated with increases in overdoses. The purpose of this study was to conduct spatial epidemiological analyses of novel comprehensively linked data to identify overdose and PIP hotspots. METHODS: Sixteen administrative datasets, including prescription monitoring, medical claims, vital statistics, and medical examiner data, covering >98% of Massachusetts residents between 2011–2015, were linked in 2017 to better investigate the opioid epidemic. PIP was defined by six measures: ≥100 morphine milligram equivalents (MMEs), co-prescription of benzodiazepines and opioids, cash purchases of opioid prescriptions, opioid prescriptions without a recorded pain diagnosis, and opioid prescriptions through multiple prescribers or pharmacies. Using spatial autocorrelation and cluster analyses, overdose and PIP hotspots were identified among 538 ZIP codes. RESULTS: More than half of the adult population (n=3,143,817, ages 18 and older) were prescribed opioids. Nearly all ZIP codes showed increasing rates of overdose over time. Overdose clusters were identified in Worcester, Northampton, Lee/Tyringham, Wareham/Bourne, Lynn, and Revere/Chelsea (Getis-Ord Gi*; p< 0.05). Large PIP clusters for ≥100 MMEs and prescription without pain diagnosis were identified in Western Massachusetts; and smaller clusters for multiple prescribers in Nantucket, Berkshire, and Hampden Counties (p

BACKGROUND: Potentially inappropriate prescribing (PIP) may contribute to opioid overdose. OBJECTIVE: To examine the association between PIP and adverse events. DESIGN: Cohort study. PARTICIPANTS: Three million seventy-eight thousand thirty-four individuals age ≥ 18, without disseminated cancer, who received prescription opioids between 2011 and 2015. MAIN MEASURES: We defined PIP as (a) morphine equivalent dose ≥ 100 mg/day in ≥ 3 months; (b) overlapping opioid and benzodiazepine prescriptions in ≥ 3 months; (c) ≥ 4 opioid prescribers in any quarter; (d) ≥ 4 opioid-dispensing pharmacies in any quarter; (e) cash purchase of prescription opioids on ≥ 3 occasions; and (f) receipt of opioids in 3 consecutive months without a documented pain diagnosis. We used Cox proportional hazards models to identify PIP practices associated with non-fatal opioid overdose, fatal opioid overdose, and all-cause mortality, controlling for covariates. KEY RESULTS: All six types of PIP were associated with higher adjusted hazard for all-cause mortality, four of six with non-fatal overdose, and five of six with fatal overdose. Lacking a documented pain diagnosis was associated with non-fatal overdose (adjusted hazard ratio [AHR] 2.21, 95% confidence interval [CI] 2.02–2.41), as was high-dose opioids (AHR 1.68, 95% CI 1.59–1.76). Co-prescription of benzodiazepines was associated with fatal overdose (AHR 4.23, 95% CI 3.85–4.65). High-dose opioids were associated with all-cause mortality (AHR 2.18, 95% CI 2.14–2.23), as was lacking a documented pain diagnosis (AHR 2.05, 95% CI 2.01–2.09). Compared to those who received opioids without PIP, the hazard for fatal opioid overdose with one, two, three, and ≥ four PIP subtypes were 4.24, 7.05, 10.28, and 12.99 (test of linear trend, p

Objectives. We evaluated the overall and sociodemographic disparities in trends in prevalence of childhood overweight and obesity in Massachusetts public school districts between 2009 and 2014. Methods. In 2009, Massachusetts mandated annual screening of body mass index for students in grades 1, 4, 7, and 10. This was part of the statewide Mass in Motion prevention programs. We assessed trends in the prevalence of overweight and obesity between 2009 and 2014 by district, gender, grade, and district income. Results. From 2009 to 2014, prevalence decreased 3.0 percentage points (from 34.3% to 31.3%) statewide. The 2014 district-level rates ranged from 13.9% to 54.5% (median = 31.2%). When stratified by grade, the decreasing trends were significant only for grades 1 and 4. Although rates of districts with a median household income greater than $37 000 improved notably, rates of the poorest remain unchanged and were approximately 40%. Conclusions. Although overall prevalence began to decrease, the geographic and socioeconomic disparities in childhood obesity are widening and remain a public health challenge in Massachusetts. Special efforts should be made to address the needs of socioeconomically disadvantaged districts and to narrow the disparities in childhood obesity.

ObjectiveThis study examines the extent to which insufficient sleep is associated with diet quality in students taking part in the Massachusetts Childhood Obesity Research Demonstration Project.MethodsData were collected in Fall 2012 for all 4th and 7th grade children enrolled in public schools in two Massachusetts communities. During annual body mass index (BMI) screening, students completed a survey that assessed diet, physical activity, screen time, and sleep. Of the 2456 enrolled students, 1870 (76%) had complete survey data. Generalized estimating equations were used to examine associations between sleep duration and dietary outcomes (vegetables, fruits, 100% juice, juice drinks, soda, sugar-sweetened beverages and water), accounting for clustering by school. Models were adjusted for community, grade, race/ethnicity, gender, television in the bedroom, screen time, and physical activity.ResultsIn adjusted models, students who reported sleeping < 10 hours/day consumed soda more frequently (β = 0.11, 95% CI: 0.03, 0.20) and vegetables less frequently (β = -0.09, 95% CI: -0.18, -0.01) compared with students who reported ≥ 10 hours/day. No significant associations were observed between sleep duration and fruits, 100% juice, juice drinks or water.ConclusionsIn this population, insufficient sleep duration was associated with more frequent soda and less frequent vegetable consumption. Longitudinal research is needed to further examine these relationships.

Background: The Massachusetts Childhood Obesity Research Demonstration (MA-CORD) project is a 2-year, multilevel, multisector community intervention to prevent and control obesity among children 2–12 years of age from two predominantly low-income communities in Massachusetts. MA-CORD includes evidence-based interventions in multiple sectors, including community health centers, early care and education centers, schools, afterschool programs, the Special Supplemental Nutrition Program for Women, Infants and Children, and the broader community. Currently, implementation of MA-CORD is complete and the final year of data collection is in progress. Here, the MA-CORD evaluation plan is described and baseline data are presented. Methods/Design: The impact of MA-CORD on children's BMI, lifestyle behaviors, obesity-related care, and quality of life will be assessed using sector-specific, pre/post, time-series, and quasi-experimental designs. Change in the primary outcomes will be compared for intervention ...

BACKGROUND AND OBJECTIVE: Associations of inadequate sleep with numerous health outcomes among youth necessitate identifying its modifiable determinants. Television (TV) has been associated with sleep curtailment, but little is known about small screens (eg, smartphones), which can be used in bed and emit notifications. Therefore, we examined associations of different screens in sleep environments with sleep duration and perceived insufficient rest or sleep. METHODS: Participants included 2048 fourth- and seventh-graders participating in the Massachusetts Childhood Obesity Research Demonstration Study in 2012 to 2013. Using linear and log binomial regression, we examined cross-sectional associations of small screens and TVs in sleep environments and screen time with weekday sleep duration and perceived insufficient rest or sleep in the past week. RESULTS: Children who slept near a small screen (compared with never) reported 20.6 fewer minutes of sleep (95% confidence interval [CI], −29.7 to −11.4) and had a higher prevalence of perceived insufficient rest or sleep (prevalence ratio, 1.39; 95% CI, 1.21 to 1.60). Children who slept in a room with a TV (compared with no TV) reported 18.0 fewer minutes of sleep (95% CI, −27.9 to −8.1). TV or DVD viewing and video or computer game playing were associated with both sleep outcomes (P < .01). Some associations were stronger among Hispanic, non-Hispanic black, and older children (P < .05 for heterogeneity). CONCLUSIONS: Sleeping near a small screen, sleeping with a TV in the room, and more screen time were associated with shorter sleep durations. Presence of a small screen, but not a TV, in the sleep environment and screen time were associated with perceived insufficient rest or sleep. These findings caution against unrestricted screen access in children’s bedrooms.

I give an argument against nonconceptualist readings of Kant’sFirst Critique, according to which one can enjoy a Kantian intuition without possessing any concepts, and present an alternative reading. The argument is that nonconceptualist readings are forced to construe the Transcendental Deduction in one of three ways, none of which is acceptable: The Deduction is seen either (i) as inconsistent with the Transcendental Aesthetic; or (ii) as addressing a question of fact rather than a question of legitimacy; or (iii) as articulating a position that Kant himself criticizes as a form of scepticism. Consideration of the third alternative, in particular, shows that a more promising construal of the Deduction must be based on a different interpretation of Kant’s claim that intuitions and concepts constitute two distinct kinds of representation than is assumed by proponents of nonconceptualist readings. I present such an interpretation and outline the alternative reading of the Deduction that results.

According to the Judgmentalist Reading of Kant (JR), he holds that every act of using a concept is an act of judging. Against this it has been argued that, on the contrary, Kant thinks that concepts are also employed in the perceptual apprehension of objects. However, advocates of this Non-Judgmentalist Reading face the problem that the evidence for JR (primarily in the Metaphysical Deduction) appears to be very strong. The aim of this paper is to address this problem and thus to strengthen the case for the Non-Judgmentalist Reading. I provide an interpretation of the Metaphysical Deduction that shows that in fact the evidence does not support JR over its competitor. According to this interpretation, Kant holds that the capacity to use concepts depends on the capacity to employ them in judgment. But this does not entail that every exercise of the first capacity is an act of judgment. So Kant can consistently hold that concepts are employed outside judgment.

Electronic health record systems contain clinically detailed data from large populations of patients that could significantly enrich public health surveillance. Clinical practices’ security, privacy, and proprietary concerns, however, have limited their willingness to share these data with public health agencies. We describe a novel distributed network for public health surveillance called MDPHnet. The system allows the Massachusetts Department of Public Health (MDPH) to initiate custom queries against participating practices’ electronic health records while the data remain behind each practice’s firewall. Practices can review proposed queries before execution and approve query results before releasing them to the health department. MDPH is using the system for routine surveillance for priority conditions and to evaluate the impact of public health interventions.

The aim of this paper is to show that attention to Kant’s philosophy of mathematics sheds light on the doctrine that there are two stems of the cognitive capacity, which are distinct, but equally necessary for cognition. Specifically, I argue for the following four claims: (i) The distinctive structure of outer sensible intuitions must be understood in terms of the concept of magnitude. (ii) The act of sensibly representing a magnitude involves a special act of spontaneity Kant ascribes to a capacity he calls the productive imagination. (iii) Contrary to what is assumed by many commentators, it is not the case that the Two Stems Doctrine implies that a representation is either sensible or spontaneity-dependent, but not both. (iv) Outer sensible intuitions are both sensible and spontaneity-dependent – they are sensible because they exhibit the kind of structure Kant takes to be distinctive of outer sensible intuitions, and they depend on spontaneity because they are cases of sensibly representing a magnitude.

Objectives. To assess the feasibility of chronic disease surveillance using distributed analysis of electronic health records and to compare results with Behavioral Risk Factor Surveillance System (BRFSS) state and small-area estimates. Methods. We queried the electronic health records of 3 independent Massachusetts-based practice groups using a distributed analysis tool called MDPHnet to measure the prevalence of diabetes, asthma, smoking, hypertension, and obesity in adults for the state and 13 cities. We adjusted observed rates for age, gender, and race/ethnicity relative to census data and compared them with BRFSS state and small-area estimates. Results. The MDPHnet population under surveillance included 1 073 545 adults (21.8% of the state adult population). MDPHnet and BRFSS state-level estimates were similar: 9.4% versus 9.7% for diabetes, 10.0% versus 12.0% for asthma, 13.5% versus 14.7% for smoking, 26.3% versus 29.6% for hypertension, and 22.8% versus 23.8% for obesity. Correlation coefficients for MDPHnet versus BRFSS small-area estimates ranged from 0.890 for diabetes to 0.646 for obesity. Conclusions. Chronic disease surveillance using electronic health record data is feasible and generates estimates comparable with BRFSS state and small-area estimates.

Objective To examine the extent to which a clinical intervention resulted in reduced body mass index (BMI) z-scores among 2–12 year old children compared to routine practice (treatment as usual, TAU). Methods The Massachusetts Childhood Obesity Research Demonstration project (MA-CORD) is a multifaceted initiative to prevent childhood obesity among low-income children. In the federally qualified community health centers (FQHC) of two communities (Intervention Site #1 and #2), we implemented (1) pediatric weight management training; (2) electronic decision supports for clinicians; (3) on-site Healthy Weight Clinics; (4) community health worker integration; and (5) healthful clinical environment changes. One FQHC in a demographically-matched community served as the TAU site. Using electronic health records, we assessed BMI z-scores and used linear mixed models to examine BMI z-score change over 2 years in each intervention site compared to a TAU site. Results Compared to children in the TAU site (n=2286), children in Intervention site #2 (n=1368) had a significant decline in BMI z-scores following the start of the intervention (−0.16 units/year; 95% CI: −0.21, −0.12). We found no evidence of an effect in Intervention site #1 (n=111). Conclusions The MA-CORD clinical interventions were associated with modest improvement in BMI z-scores in one of two intervention communities compared to a TAU community.

Introduction: Shortening onset-to-arrival (OTA) time among acute ischemic stroke (AIS) patients is an important public health goal in order to increase the proportion of patients eligible for disability-reducing treatment. Understanding factors associated with delays in OTA will help to focus educational interventions. Hypothesis: AIS patients with greater stroke severity are more likely to arrive early (OTA≤3.5 hours); and among AIS patients arriving acutely (within 8 hours), stroke severity will also predict shorter OTA time. Methods: Prospective study of all AIS patients presenting to the 60 of 70 Massachusetts hospitals participating in the Coverdell Registry from 2005-13, excluding patients transferred from another acute care facility or with symptom onset after hospital arrival. Logistic and linear regression analyses identified predictors of OTA within 3.5 hours, and predictors of shorter OTA among patients presenting within 8 hours, accounting for clustering by hospital. Results: Among 51,631 AIS patients, 6,904 patients (13.4%) were transferred or presented from another acute care facility and complete time data were documented in 82% of the remaining patients for a final sample of 36,680. Median OTA was 6.2 hours (IQR 1.2-18.8 hours). Predictors of OTA within 3.5 hours included stroke severity, younger age, male gender, race, private insurance, ambulance arrival, later year of presentation, and medical history (Table). Among the 19,831 patients arriving acutely (OTA≤8 hours), predictors of shorter OTA duration included stroke severity, non-black race, ambulance arrival, and medical history (Table). Conclusions: Black patients and patients with lower NIHSS are more likely to have delayed arrival. Future work should focus on reducing disparities in care-seeking behavior.

Introduction: Shorter onset-to-arrival (OTA) time is critical for acute ischemic stroke (AIS) patients potentially eligible for disability-reducing treatment including intravenous tPA and endovascular thrombectomy. Hypothesis: Patients with earlier arrival would be more likely to be discharged home and have lower 30-day and 1-year mortality. Methods: Prospective study of all AIS patients presenting to the 60 of 70 Massachusetts hospitals participating in the Coverdell Registry from 2005-13, excluding patients without documented onset or arrival times. Logistic regression analyses identified predictors of discharge disposition, in-hospital, 30-day, and 1-year mortality, accounting for clustering by hospital. Results: Among the 41,856 patients in the sample, 30-day mortality was 6.7% and 1-year mortality was 12.6%. Of the 17,664 patients from 2011-13 with confirmed discharge disposition, 43.1% were discharged home, 8.4% died in-hospital or were discharged to hospice. Predictors of discharge disposition and mortality are outlined in the Table. OTA within 3.5 hours was associated with discharge to home, but had no affect on in-hospital, 30-day, or 1-year mortality. This pattern persisted both with and without tPA administration included in the model. Patients treated with tPA were more likely to be discharged to home. tPA administration was associated with in-hospital mortality, but reduced 1-year mortality. 30-day and 1-year mortality improved over the 8 years in the study period. Conclusions: Patients arriving within 3.5 hours are more likely to be discharged to home, and patients treated with tPA are more likely to be discharged to home and have lower 1-year mortality.

Introduction: Rapid evaluation and treatment are critical for improving outcomes of acute ischemic stroke patients. Arrival by ambulance is associated with more rapid imaging and tPA administration. Predictors of arrival by ambulance have not been well described. Hypothesis: Ischemic stroke patients with increased stroke severity are more likely to arrive to the hospital by ambulance. Methods: Prospective study of all ischemic stroke patients presenting to Massachusetts hospitals participating in the Coverdell Registry from 2005-13 (60 of the states’ 70 hospitals license to receive stroke patients). Logistic regression analysis identified predictors of ambulance use, accounting for clustering by hospital. Results: Among 54,164 acute ischemic stroke patients in the sample, 60.2% (n=32,622) arrived by ambulance. Among the 29,236 patients in whom NIHSS was documented, 59.5% (n=17,380) arrived by ambulance. In bivariate analysis, patients arriving by ambulance had higher NIHSS (mean 8.3 versus 4.5, p Conclusions: While patients with increased stroke severity are more likely to present via EMS, the use of ambulance transport by stroke patients decreased significantly over time. Widespread public education efforts are still needed to stress the importance of ambulance use for suspected stroke symptoms.

Thomas Land argues that Kant’s theory of spatial representation supports a moderately conceptualist view of his theory of intuition. In making the case for this he focuses on three aspects of he theory of spatial representation: the distinction Kant draws between the original representation of space and the representations of determinate spaces, the doctrine of the productive imagination and the doctrine of the a priori determination of sensibility by the understanding. He explains why these three aspects support a moderately conceptualist view and considers a number of objections.

Background Opioid overdose survivors have an increased risk for death. Whether use of medications for opioid use disorder (MOUD) after overdose is associated with mortality is not known. Objective To identify MOUD use after opioid overdose and its association with all-cause and opioid-related mortality. Design Retrospective cohort study. Setting 7 individually linked data sets from Massachusetts government agencies. Participants 17 568 Massachusetts adults without cancer who survived an opioid overdose between 2012 and 2014. Measurements Three types of MOUD were examined: methadone maintenance treatment (MMT), buprenorphine, and naltrexone. Exposure to MOUD was identified at monthly intervals, and persons were considered exposed through the month after last receipt. A multivariable Cox proportional hazards model was used to examine MOUD as a monthly time-varying exposure variable to predict time to all-cause and opioid-related mortality. Results In the 12 months after a nonfatal overdose, 2040 persons (11%) enrolled in MMT for a median of 5 months (interquartile range, 2 to 9 months), 3022 persons (17%) received buprenorphine for a median of 4 months (interquartile range, 2 to 8 months), and 1099 persons (6%) received naltrexone for a median of 1 month (interquartile range, 1 to 2 months). Among the entire cohort, all-cause mortality was 4.7 deaths (95% CI, 4.4 to 5.0 deaths) per 100 person-years and opioid-related mortality was 2.1 deaths (CI, 1.9 to 2.4 deaths) per 100 person-years. Compared with no MOUD, MMT was associated with decreased all-cause mortality (adjusted hazard ratio [AHR], 0.47 [CI, 0.32 to 0.71]) and opioid-related mortality (AHR, 0.41 [CI, 0.24 to 0.70]). Buprenorphine was associated with decreased all-cause mortality (AHR, 0.63 [CI, 0.46 to 0.87]) and opioid-related mortality (AHR, 0.62 [CI, 0.41 to 0.92]). No associations between naltrexone and all-cause mortality (AHR, 1.44 [CI, 0.84 to 2.46]) or opioid-related mortality (AHR, 1.42 [CI, 0.73 to 2.79]) were identified. Limitation Few events among naltrexone recipients preclude confident conclusions. Conclusion A minority of opioid overdose survivors received MOUD. Buprenorphine and MMT were associated with reduced all-cause and opioid-related mortality. Primary funding source National Center for Advancing Translational Sciences of the National Institutes of Health.

Objectives. We developed a method to evaluate geographic and temporal variations in community-level risk factors and prevalence estimates, and used that method to identify communities in Massachusetts that should be considered high priority communities for smoking interventions. Methods. We integrated individual-level data from the Behavioral Risk Factor Surveillance System from 1999 to 2005 with community-level data in Massachusetts. We used small-area estimation models to assess the associations of adults’ smoking status with both individual- and community-level characteristics and to estimate community-specific smoking prevalence in 398 communities. We classified communities into 8 groups according to their prevalence estimates, the precision of the estimates, and temporal trends. Results. Community-level prevalence of current cigarette smoking among adults ranged from 5% to 36% in 2005 and declined in all but 16 (4%) communities between 1999 and 2005. However, less than 15% of the communities met the national prevalence goal of 12% or less. High smoking prevalence remained in communities with lower income, higher percentage of blue-collar workers, and higher density of tobacco outlets. Conclusions. Prioritizing communities for intervention can be accomplished through the use of small-area estimation models. In Massachusetts, socioeconomically disadvantaged communities have high smoking prevalence rates and should be of high priority to those working to control tobacco use.

Methods: We conducted 40 semi-structured interviews with stakeholders from five community sectors (school, afterschool, WIC, health clinics, Park & Recreation) in two cities participating in the Ma...

To analyze geographic and income disparities in access to healthy foods in central Massachusetts.We surveyed 106 (92% of all) food stores longitudinally in the study area between 2007 and 2010. We analyzed the geographic and temporal variations in community- and store-level healthy food availability indices (HFAI) and unhealthy food availability indices (UFAI) overall and by select store and community characteristics.Twenty-seven of 68 communities in the study area (39.7%) had no food store and 5 (8.3%) had one or few stores with very limited availability of healthy foods, affecting 23.7% of the county population. Lack of food stores was associated strongly with lower housing density and upper tertile of median household income. About 45% of the surveyed stores had inadequate availabilities of healthy food. Store-level HFAI and UFAI scores were highly correlated, and higher among larger stores affiliated with a chain (vs independent). Though healthy foods were usually most available in larger stores, unhealthy foods were widely available in all stores.Over half of central Massachusetts communities, mostly rural and small, had either no food store or few stores with limited availabilities of healthy foods. Immediate policy interventions on the food environment are necessary in these communities. Further, without examining what is actually sold in stores, analysis of disparities in access to healthy food relies on the number of food stores, which can lead to a distorted picture of accessibility and mislead community health policies.

Introduction The etiology of childhood obesity is multidimensional and includes individual, familial, organizational, and societal factors. Policymakers and researchers are promoting social–ecological approaches to obesity prevention that encompass multiple community sectors. Programs that successfully engage low-income families in making healthy choices are greatly needed, yet little is known about the extent to which stakeholders understand the complexity of barriers encountered by families. The objective of this study was to contextually frame barriers faced by low-income families reported by community stakeholders by using the Family Ecological Model (FEM). Methods From 2012 through 2013, we conducted semistructured interviews with 39 stakeholders from 2 communities in Massachusetts that were participating in a multisector intervention for childhood obesity prevention. Stakeholders represented schools; afterschool programs; health care; the Special Supplemental Nutrition Program for Women, Infants, and Children; and early care and education. Interviews were audio-recorded, transcribed, coded, and summarized. Results Stakeholder reports of the barriers experienced by low-income families had a strong degree of overlap with FEM and reflected awareness of the broader contextual factors (eg, availability of community resources, family culture, education) and social and emotional dynamics within families (eg, parent knowledge, social norms, distrust of health care providers, chronic life stressors) that could affect family adoption of healthy lifestyle behaviors. Furthermore, results illustrated a level of consistency in stakeholder awareness across multiple community sectors. Conclusion The congruity of stakeholder perspectives with those of low-income parents as summarized in FEM and across community sectors illustrates potential for synergizing the efforts necessary for multisector, multilevel community interventions for the prevention of childhood obesity.

Objectives. We examined electronic health records (EHRs) to assess the impact of systems change on tobacco use screening, treatment, and quit rates among low-income primary care patients in Louisiana. Methods. We examined EHR data on 79 777 patients with more than 1.2 million adult primary care encounters from January 1, 2009, through January 31, 2012, for evidence of systems change. We adapted a definition of “systems change” to evaluate a tobacco screening and treatment protocol used by medical staff during primary care visits at 7 sites in a public hospital system. Results. Six of 7 sites met the definition of systems change, with routine screening rates for tobacco use higher than 50%. Within the first year, a 99.7% screening rate was reached. Sites had a 9.5% relative decrease in prevalence over the study period. Patients were 1.03 times more likely to sustain quit with each additional intervention (95% confidence interval = 1.02, 1.04). Conclusions. EHRs can be used to demonstrate that routine clinical interventions with low-income primary care patients result in reductions in tobacco use and sustained quits.

At the heart of the Critique of Pure Reason lies a distinction between two fundamental cognitive powers, sensibility and understanding. It is a measure of how important this distinction is that Kant singles it out as the feature which makes his own position superior to those of his most prominent predecessors, on both the Empiricist and the Rationalist side.1 In light of this, it is perhaps unsurprising that this distinction has also been at the center of a number of recent attempts by contemporary analytic philosophers to inherit Kant. If sensibility is the capacity for perception and the understanding the power of conceptual thought, a crucial question for both Kant and contemporary Kantians is exactly how are these two capacities related? In the context of contemporary Kantianism, this issue gained prominence through Wilfrid Sellars’ classic paper “Empiricism and the Philosophy of Mind.”2 Sellars is concerned with the problem of how the interaction between sensibility and understanding must be conceived if a certain kind of rational relation is to obtain between their respective exercises. The relation is captured by the image, borrowed from Quine, that exercises of the power of thought must face the “tribunal of experience.”3 The idea is that it must be possible, in principle, to assess thoughts as true or false, and as justified or unjustified, in light of sensory experience. But for this to be possible the deliverances of sensibility must have the right kind of structure. They must, that is, have the kind of structure which makes it possible for thought to be answerable to them. Exactly what this requirement amounts to, however, has been a subject of debate.

[Author Affiliation]Elsie M. Taveras. 1 Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA. 2 Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA.Kirsten K. Davison. 2 Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA. 3 Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.Meghan E. Perkins. 1 Division of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, MA.Steven Gortmaker. 3 Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.Thomas Land. 4 Bureau of Community Health and Prevention, Massachusetts Department of Public Health, Boston, MA.Address correspondence to: Elsie M. Taveras, MD, MPH, Chief, Division of General Academic Pediatrics, Department of Pediatrics, Director, Pediatric Population Health Management, MassGeneral Hospital for Children, Associate Professor of Pediatrics and Population Medicine, Harvard Medical School, Associate Professor of Nutrition, Harvard T.H. Chan School of Public Health, 125 Nashua Street, Suite #860, Boston, MA 02114-1101, E-mail: elsie.taveras@mgh.harvard.eduTo the Editor:While we agree with Dr. Anchondo and colleagues that it is time to think differently about childhood obesity prevention, we profoundly disagree that "WIC, schools, afterschool, and community-wide programs, as well as society at large ... should not encourage children to eat foods (deemed healthy) or exercise in prescribed ways." The approach adopted by the Massachusetts and the other Childhood Obesity Research Demonstration (CORD) sites has been to optimize and promote the use of best available evidence in these environments where children spend their time eating, sleeping, playing, and learning and to evaluate the effects of collaborative programs such as ours that are integrated across multiple settings. Evidence reviews using transparent methodology have shown that interventions across settings where children spend their time can benefit child health through improved nutrition and physical activity behaviors.1,2 As pointed out in a recent Lancet series on obesity prevention, "how we develop food preferences and make choices" is impacted by the settings in which we spend our time.3 Hawkes and colleagues call for comprehensive actions that create an enabling environment for infants and children to learn healthy food preferences, and Roberto and colleagues point out that "people bear some personal responsibility for their health, but environmental factors can readily support or undermine the ability of people to act in their own self-interest."3,4 CORD's multilevel, multisector approach is consistent with the Robert Wood Johnson Foundation's Building a Culture of Health Framework and the recommendations for systems-level interventions suggested by the Institute of Medicine Committee on Accelerating Progress in Obesity Prevention.5,6Dr. Anchondo and colleagues also suggest that MA-CORD is simply rehashing ineffective strategies of the past. In fact, some of these previous studies (e.g., Child and Adolescent Trial for Cardiovascular Health; CATCH) did show that children made changes to a more healthful diet and increased physical activity as a result of the intervention, and more recent replication studies where community support has been included to enhance the school- and individual-level efforts of CATCH have shown significant changes in child obesity rates, especially among low-income, ethnically diverse populations.7 In reality, CORD is quite different from previous interventions in seeking to implement and disseminate programs that have already been shown to be effective and in its aim to integrate clinical and public health approaches, rather than focus on single sectors as in the studies cited by Dr. …

Background Recent evidence suggests that opening a grocery store in a food desert does not translate to better diet quality among community residents. Purpose This study evaluated the influence of proximity to a healthy food store on the effect of a dietary behavioral intervention on diet among obese adults randomized to either a high fiber or American Heart Association diet intervention. Methods Participants were recruited from Worcester County, Massachusetts, between June 2009 and January 2012. Dietary data were collected via 24-hour recalls at baseline and 3, 6, and 12 months post-intervention. Based on in-store inspection data, a store was considered as having adequate availability of healthy foods if it had at least one item available in each of 20 healthy food categories. Linear models evaluated maximum change in dietary outcomes in relation to road distance from residence to the nearest June healthy food store. The analysis was conducted in January to June 2014. Results On average, participants (N=204) were aged 52 years, BMI=34.9, and included 72% women and 89% non-Hispanic whites. Shorter distance to a healthy food store was associated with greater improvements in consumption of fiber (b=–1.07 g/day per mile, p p =0.03) with and without covariate adjustment. Conclusions The effectiveness of dietary interventions is significantly influenced by the presence of a supportive community nutrition environment. Considering the nationwide efforts on promotion of healthy eating, the value of improving community access to healthy foods should not be underestimated. Clinical Trial Registration Number: NCT00911885

INTRODUCTION Community-based approaches to preventing chronic diseases are attractive because of their broad reach and low costs, and as such, are integral components of health care reform efforts. Implementing community-based initiatives across Massachusetts' municipalities presents both programmatic and evaluation challenges. For effective delivery and evaluation of the interventions, establishing a community typology that groups similar municipalities provides a balanced and cost-effective approach. METHODS Through a series of key informant interviews and exploratory data analysis, we identified 55 municipal-level indicators of 6 domains for the typology analysis. The domains were health behaviors and health outcomes, housing and land use, transportation, retail environment, socioeconomics, and demographic composition. A latent class analysis was used to identify 10 groups of municipalities based on similar patterns of municipal-level indicators across the domains. RESULTS Our model with 10 latent classes yielded excellent classification certainty (relative entropy = .995, minimum class probability for any class = .871), and differentiated distinct groups of municipalities based on health-relevant needs and resources. The classes differentiated healthy and racially and ethnically diverse urban areas from cities with similar population densities and diversity but worse health outcomes, affluent communities from lower-income rural communities, and mature suburban areas from rapidly suburbanizing communities with different healthy-living challenges. CONCLUSION Latent class analysis is a tool that may aid in the planning, communication, and evaluation of community-based wellness initiatives such as Community Transformation Grants projects administrated by the Centers for Disease Control and Prevention.

INTRODUCTION Recent increases in nicotine yield of cigarettes sold in the United States have been attributed by tobacco manufacturers to natural variation in agricultural products. We tested this assertion using data reported by the manufacturers. METHODS Data were collected from the annual reports filed with the Massachusetts Department of Public Health by 4 major manufacturers of cigarettes from 1997 to 2012. Reportable measures included nicotine yield (mg/cig) in smoke generated by a smoking machine based on the Massachusetts smoking regimen and nicotine content in the unburned tobacco per cigarette (mg/cig). We used multilevel linear mixed-effect models to examine temporal trends in and predictors of these measures, overall and by brand style and by brand family. RESULTS While nicotine content remained relatively stable in the range of 12-14 mg/cig between 1998 and 2012, average nicotine yield increased significantly (p < .01) over time and ranged from the lowest level of 1.65 mg/cigarette in 1999 to the highest level of 1.89 mg/cigarette in 2011. Nicotine yield and yield-to-content ratio varied significantly among manufacturers and brand families. When controlling for market category and all available design features, the yield-to-content ratio of all manufacturers except Lorillard increased significantly over time. CONCLUSIONS The data provided by tobacco manufacturers suggest that the increasing trend in yield is not related to variations in nicotine content but to the yield-to-content ratio, which contradicts their assertions of agricultural variations. Nicotine yield and yield-to-content ratio are controllable features of cigarettes, and they should be monitored and regulated by government agencies.

Sales of smokeless tobacco products have increased in the USA. More than one in eight males in the 12th grade are current users of smokeless tobacco. Surveillance data examining nicotine levels of smokeless tobacco subsequent to 2006 have not been reported in the literature.Data on nicotine levels and design features (eg, pH, moisture content, leaf cut and flavour) of smokeless tobacco products sold in Massachusetts were obtained from manufacturers between 2003 and 2012. Design features, levels and temporal trends in unionised (free) nicotine and nicotine content of smokeless tobacco products were analysed overall and by manufacturer and product type.The annual total number of moist snuff products increased from 99 in 2003 to 127 in 2012. The annual total number of reported snus products increased from 4 in 2003 to the highest level of 62 in 2011, before decreasing to 26 in 2012. Overall, mean unionised (free) nicotine remained relatively stable (β=0.018 (95% CI -0.014 to 0.050) mg/g dry weight/year) from 2003 to 2012. However, both levels and temporal trends of mean free nicotine varied significantly among manufacturers (p0.001). Since 2003, the free nicotine content of snus has increased at an overall rate of 0.192 (95% CI 0.138 to 0.246) mg/g dry weight/year, but varied by manufacturer (p0.001).The number of smokeless tobacco products increased in the Massachusetts market. Further, mean unionised (free) nicotine levels in smokeless tobacco products of several manufacturers continued to rise despite decreasing levels from other manufacturers. The current success in tobacco control is very likely undermined without government surveillance, regulation and widespread public disclosure of nicotine levels in these products.