Proposed Nutrition Competencies for Medical Students and Physician Trainees: A Consensus Statement.

Importance: In 2022, the US House of Representatives passed a bipartisan resolution (House of Representatives Resolution 1118 at the 117th Congress [2021-2022]) calling for meaningful nutrition education for medical trainees. This was prompted by increasing health care spending attributed to the growing prevalence of nutrition-related diseases and the substantial federal funding via Medicare that supports graduate medical education. In March 2023, medical education professional organizations agreed to identify nutrition competencies for medical education. Objective: To recommend nutrition competencies for inclusion in medical education to improve patient and population health. Evidence Review: The research team conducted a rapid literature review to identify existing nutrition-related competencies published between July 2013 and July 2023. Additional competencies were identified from learning objectives in selected nutrition, culinary medicine, and teaching kitchen curricula; dietetic core competencies; and research team-generated de novo competencies. An expert panel of 22 nutrition subject matter experts and 15 residency program directors participated in a modified Delphi process and completed 4 rounds of voting to reach consensus on recommended nutrition competencies, the level of medical education at which they should be included, and recommendations for monitoring implementation and evaluation of these competencies. Findings: A total of 15 articles met inclusion criteria for competency extraction and yielded 187 competencies. Through review of gray literature and other sources, researchers identified 167 additional competencies for a total of 354 competencies. These competencies were compiled and refined prior to voting. After 4 rounds of voting, 36 competencies were identified for recommendation: 30 at both undergraduate and graduate levels, 2 at the undergraduate level only, and 4 at the graduate level only. Competencies fell into the following nutrition-related themes: foundational nutrition knowledge, assessment and diagnosis, communication skills, public health, collaborative support and treatment for specific conditions, and indications for referral. A total of 36 panelists (97%) recommended nutrition competencies be assessed as part of licensing and board certification examinations. Conclusions and Relevance: These competencies represent a US-based effort to use a modified Delphi process to establish consensus on nutrition competencies for medical students and physician trainees. These competencies will require an iterative process of institutional prioritization, refinement, and inclusion in current and future educational curricula as well as licensure and certification examinations.

Feasibility pilot study of a Japanese teaching kitchen program.

Background: This pilot study examined the feasibility of a new lifestyle modification program involving a "Teaching Kitchen" in Japan. Our goal was to explore (1) feasibility of the program; (2) acceptability for class frequency (weekly vs. bi-weekly); and (3) changes in biometrics, dietary intakes, and lifestyle factors. Methods: A total of 24 employees with obesity in a Japanese company were recruited. Participants were randomly divided into two groups (weekly or bi-weekly group), each attending the program consisting of four two-hour classes (lectures on nutrition, exercise, mindfulness, and culinary instructions). Participants were observed for changes in dietary intakes, biometrics, and health related quality of life over the subsequent 3 months. We tested the between-group differences in changes using linear mixed-effect models. Results: The program completion rates were 83.3% in total (91.7% for weekly group and 75.0% for bi-weekly group). From baseline to post-intervention, significant decreases were observed in weight (p < 0.001), body mass index (p < 0.001), diastolic blood pressure (p = 0.03), body fat mass (p < 0.001), and dietary intakes in total fat (p = 0.03) and sodium (p = 0.008) among 17 participants who were available for measurements. Improvements in biometrics remained significant 1 month after the intervention (all p ≤ 0.03 in 14 participants). Participants' health related quality of life was significantly improved in bodily pain, general health, vitality, and mental component score (all p ≤ 0.047). Conclusions: The new Japanese Teaching Kitchen program is feasible with high program completion rates in Japanese office workers with obesity. While this was a small feasibility study, significant multiple improvements in dietary intakes, biometrics, and health related quality of life suggest that this line of inquiry warrants further exploration to address obesity and obesity-related diseases in Japan.

Characteristics of Current Teaching Kitchens: Findings from Recent Surveys of the Teaching Kitchen Collaborative.

Teaching kitchens are physical and virtual forums that foster practical life skills through participation in experiential education. Given the well-supported connection between healthy eating patterns and the prevention and management of chronic diseases, both private and public organizations are building teaching kitchens (TKs) to enhance the health and wellness of patients, staff, youth, and the general community. Although implementation of TKs is becoming more common, best practices for starting and operating programs are limited. The present study aims to describe key components and professionals required for TK operations. Surveys were administered to Teaching Kitchen Collaborative (TKC) members and questions reflected seven primary areas of inquiry: (1) TK setting(s), (2) audiences served, (3) TK model(s), (4) key lines of operations, (5) team member who manages or directs the TK, (6) team member(s) who performs key operations and other professionals or partnerships that may be needed, and (7) the primary funding source(s) to build and operate the TK (among various other topics). Findings were used to articulate recommendations for organizations seeking to establish a successful TK as well as for TKs to expand their collective reach, research capacity, and impact.

Perspective: Teaching Kitchens: Conceptual Origins, Applications and Potential for Impact within Food Is Medicine Research.

There is a need to identify innovative strategies whereby individuals, families, and communities can learn to access and prepare affordable and nutritious foods, in combination with evidence-based guidance about diet and lifestyle. These approaches also need to address issues of equity and sustainability. Teaching Kitchens (TKs) are being created as educational classrooms and translational research laboratories to advance such strategies. Moreover, TKs can be used as revenue-generating research sites in universities and hospitals performing sponsored research, and, potentially, as instruments of cost containment when placed in accountable care settings and self-insured companies. Thus, TKs can be considered for inclusion in future health professional training programs, and the recently published Biden-Harris Administration Strategy on Hunger, Nutrition and Health echoes this directive. Recent innovations in the ability to provide TK classes virtually suggest that their impact may be greater than originally envisioned. Although the impact of TK curricula on behaviors, outcomes and costs of health care is preliminary, it warrants the continued attention of medical and public health thought leaders involved with Food Is Medicine initiatives.

Development and Validation of a New Home Cooking Frequency Questionnaire: A Pilot Study.

Home cooking and the type of cooking techniques can have an effect on our health. However, as far as we know, there is no questionnaire that measures in depth the frequency and type of cooking techniques used at home. Our aim was to design a new Home Cooking Frequency Questionnaire (HCFQ) and to preliminarily assess its psychometric properties. For this purpose we used a five-phase approach, as follows: Phase 1: item generation based on expert opinion, relevant literature and previous surveys; Phase 2: content validity assessed by experts for relevance and clarity (epidemiologists, dietitians, chefs); Phase 3: face validity and inter-item reliability; Phase 4: criterion validity using a 7-day food and culinary record; and Phase 5: test stability and inter-item reliability. The content validity index for scale and item level values provided evidence of the content validity for relevance and clarity. Criterion validity analysis showed intraclass correlation coefficients ranged from 0.31−0.69. Test−retest reliability coefficients ranged from 0.49−0.92, with ƙ values > 0.44. Overall Cronbach's alpha was 0.90. In conclusion, the HCFQ is a promising tool with sound content and face validity, substantial criterion validity, and adequate reliability. This 174-item HCFQ is the first questionnaire to assess how often people cook and which cooking methods they use at home.

Gender differences in global estimates of cooking frequency prior to COVID-19.

The frequency of cooking at home has not been assessed globally. Data from the Gallup World Poll in 2018/2019 wave (N = 145,417) were collected in 142 countries using telephone and face to face interviews. We describe differences in frequency of 'scratch' cooking lunch and dinner across the globe by gender. Poisson regression was used to assess predictors of cooking frequency. Associations between disparities in cooking frequency (at the country level) between men and women with perceptions of subjective well-being were assessed using linear regression. Across the globe, cooking frequency varied considerably; dinner was cooked more frequently than lunch; and, women (median frequency 5 meals/week) cooked both meals more frequently than men (median frequency 0 meals/week). At the country level, greater gender disparities in cooking frequency are associated with lower Positive Experience Index scores (-0.021, p = 0.009). Prior to the COVID-19 pandemic, the frequency with which men and women cook meals varied considerably between nations; and, women cooked more frequently than men worldwide. The pandemic, and related 'stay at home' directives have dramatically reshaped the world, and it will be important to monitor changes in the ways and frequency with which people around the world cook and eat; and, how those changes relate to dietary patterns and health outcomes on a national, regional and global level.

Teaching Kitchens in the Learning and Work Environments: The Future Is Now.

The learning and working environments of today's hospitals and health systems are designed to predict, diagnose, treat, and manage disease. However, the food environments in these settings are often extraordinarily unappealing, unhealthy, and can adversely impact the well-being of health professionals. What if future health-care sites were designed as showrooms of the most appealing and nutritious foods? What if future cafeterias included ventilated "Teaching Kitchens" as extensions to the everyday "grab and go" check-out lines? What if health-care providers, trainees, staff, and community members had access to foods that were healthy, delicious, affordable, sustainable, and easy to prepare? Most importantly, what if health professionals learned to make these healthy, delicious recipes as part of their required training? "See one, do one, teach one" could become, "See one, taste one, make one, teach one". Teaching Kitchens could serve as both learning laboratories and clinical research centers, whereby teaching kitchen curricula could be tested, through sponsored research, for their impact on behaviors, clinical outcomes, and costs. What if spaces adjacent to Teaching Kitchens were designated "Mindful Eating Spaces," where self-selected patrons could enjoy a "Culinary Feast alongside a Technological Fast" in an effort to carve out a brief oasis of mindful, resilience-building reflection during any given day? This article describes the rationale for and necessary components of such a futurist "Teaching Kitchen" within future working and learning environments. Importantly, if and when Teaching Kitchens are built within health-care settings, they may serve as catalysts of personal and societal health enhancement for all.

Randomized Crossover Comparison of Automated Insulin Delivery Versus Conventional Therapy Using an Unlocked Smartphone with Scheduled Pasta and Rice Meal Challenges in the Outpatient Setting.

Background: Automated Insulin Delivery (AID) hybrid closed-loop systems have not been well studied in the context of prescribed meals. We evaluated performance of our interoperable artificial pancreas system (iAPS) in the at-home setting, running on an unlocked smartphone, with scheduled meal challenges in a randomized crossover trial. Methods: Ten adults with type 1 diabetes completed 2 weeks of AID-based control and 2 weeks of conventional therapy in random order where they consumed regular pasta or extra-long grain white rice as part of a complete dinner meal on six different occasions in both arms (each meal thrice in random order). Surveys assessed satisfaction with AID use. Results: Postprandial differences in conventional therapy were 10,919.0 mg/dL × min (95% confidence interval [CI] 3190.5-18,648.0, P = 0.009) for glucose area under the curve (AUC) and 40.9 mg/dL (95% CI 4.6-77.3, P = 0.03) for peak continuous glucose monitor glucose, with rice showing greater increases than pasta. White rice resulted in a lower estimate over pasta by a factor of 0.22 (95% CI 0.08-0.63, P = 0.004) for AUC under 70 mg/dL. These glycemic differences in both meal types were reduced under AID-based control and were not statistically significant, where 0-2 h insulin delivery decreased by 0.45 U for pasta (P = 0.001) and by 0.27 U for white rice (P = 0.01). Subjects reported high overall satisfaction with the iAPS. Conclusions: The AID system running on an unlocked smartphone improved postprandial glucose control over conventional therapy in the setting of challenging meals in the outpatient setting. Clinical Trial Registry: clinicaltrials.gov NCT03767790.

Patient Disclosure of Complementary and Integrative Health Approaches in an Academic Health Center.

BACKGROUND: Effective patient-doctor communication about complementary and integrative health (CIH) is crucial to coordinate multimodal treatment for complex conditions. While rates of patient disclosure of CIH use to physicians have increased in the United States over the last 30 years, many patients still do not disclose these facts. Integrating CIH approaches within academic medical centers may enhance the communication, but this has not been explicitly studied. OBJECTIVE: To examine rates of patient disclosure of CIH to physicians and reasons for nondisclosure. METHODS: We surveyed 1177 patients at an academic center's CIH clinic regarding their CIH use and disclosure of CIH use to their physician. RESULTS: Of the 1067 who responded to the disclosure questions, 80.1% had discussed their CIH use with their physician, while 19.9% did not. Of those who did not disclose, lack of physician inquiry was reported by 58% as the principal reason. DISCUSSION: Within an academic center, there is still a need to improve communication about CIH use. Possible strategies might include continued education of both patients and physicians about CIH and communication skills and integration of CIH disclosure into routine patient health questionnaires.

Achieving Rapid Blood Pressure Control With Digital Therapeutics: Retrospective Cohort and Machine Learning Study.

BACKGROUND: Behavioral therapies, such as electronic counseling and self-monitoring dispensed through mobile apps, have been shown to improve blood pressure, but the results vary and long-term engagement is a challenge. Machine learning is a rapidly advancing discipline that can be used to generate predictive and responsive models for the management and treatment of chronic conditions and shows potential for meaningfully improving outcomes. OBJECTIVE: The objectives of this retrospective analysis were to examine the effect of a novel digital therapeutic on blood pressure in adults with hypertension and to explore the ability of machine learning to predict participant completion of the intervention. METHODS: Participants with hypertension, who engaged with the digital intervention for at least 2 weeks and had paired blood pressure values, were identified from the intervention database. Participants were required to be ≥18 years old, reside in the United States, and own a smartphone. The digital intervention offers personalized behavior therapy, including goal setting, skill building, and self-monitoring. Participants reported blood pressure values at will, and changes were calculated using averages of baseline and final values for each participant. Machine learning was used to generate a model of participants who would complete the intervention. Random forest models were trained at days 1, 3, and 7 of the intervention, and the generalizability of the models was assessed using leave-one-out cross-validation. RESULTS: The primary cohort comprised 172 participants with hypertension, having paired blood pressure values, who were engaged with the intervention. Of the total, 86.1% participants were women, the mean age was 55.0 years (95% CI 53.7-56.2), baseline systolic blood pressure was 138.9 mmHg (95% CI 136.6-141.3), and diastolic was 86.2 mmHg (95% CI 84.8-87.7). Mean change was -11.5 mmHg for systolic blood pressure and -5.9 mmHg for diastolic blood pressure over a mean of 62.6 days (P<.001). Among participants with stage 2 hypertension, mean change was -17.6 mmHg for systolic blood pressure and -8.8 mmHg for diastolic blood pressure. Changes in blood pressure remained significant in a mixed-effects model accounting for the baseline systolic blood pressure, age, gender, and body mass index (P<.001). A total of 43% of the participants tracking their blood pressure at 12 weeks achieved the 2017 American College of Cardiology/American Heart Association definition of blood pressure control. The 7-day predictive model for intervention completion was trained on 427 participants, and the area under the receiver operating characteristic curve was .78. CONCLUSIONS: Reductions in blood pressure were observed in adults with hypertension who used the digital therapeutic. The degree of blood pressure reduction was clinically meaningful and achieved rapidly by a majority of the studied participants. Greater improvement was observed in participants with more severe hypertension at baseline. A successful proof of concept for using machine learning to predict intervention completion was presented.

Emergence of digital biomarkers to predict and modify treatment efficacy: machine learning study.

OBJECTIVES: Development of digital biomarkers to predict treatment response to a digital behavioural intervention. DESIGN: Machine learning using random forest classifiers on data generated through the use of a digital therapeutic which delivers behavioural therapy to treat cardiometabolic disease. Data from 13 explanatory variables (biometric and engagement in nature) generated in the first 28 days of a 12-week intervention were used to train models. Two levels of response to treatment were predicted: (1) systolic change ≥10 mm Hg (SC model), and (2) shift down to a blood pressure category of elevated or better (ER model). Models were validated using leave-one-out cross validation and evaluated using area under the curve receiver operating characteristics (AUROC) and specificity- sensitivity. Ability to predict treatment response with a subset of nine variables, including app use and baseline blood pressure, was also tested (models SC-APP and ER-APP). SETTING: Data generated through ad libitum use of a digital therapeutic in the USA. PARTICIPANTS: Deidentified data from 135 adults with a starting blood pressure ≥130/80, who tracked blood pressure for at least 7 weeks using the digital therapeutic. RESULTS: The SC model had an AUROC of 0.82 and a sensitivity of 58% at a specificity of 90%. The ER model had an AUROC of 0.69 and a sensitivity of 32% at a specificity at 91%. Dropping explanatory variables related to blood pressure resulted in an AUROC of 0.72 with a sensitivity of 42% at a specificity of 90% for the SC-APP model and an AUROC of 0.53 for the ER-APP model. CONCLUSIONS: Machine learning was used to transform data from a digital therapeutic into digital biomarkers that predicted treatment response in individual participants. Digital biomarkers have potential to improve treatment outcomes in a digital behavioural intervention.

The Effect of Two Types of Pasta Versus White Rice on Postprandial Blood Glucose Levels in Adults with Type 1 Diabetes: A Randomized Crossover Trial.

Background: Food choices are essential to successful glycemic control for people with diabetes. We compared the impact of three carbohydrate-rich meals on the postprandial glycemic response in adults with type 1 diabetes (T1D). Methods: We performed a randomized crossover study in 12 adults with T1D (age 58.7 ± 14.2 years, baseline hemoglobin A1c 7.5% ± 1.3%) comparing the postprandial glycemic response to three meals using continuous glucose monitoring: (1) "higher protein" pasta containing 10 g protein/serving, (2) regular pasta with 7 g protein/serving, and (3) extra-long grain white rice. All meals contained 42 g carbohydrate; were served with homemade tomato sauce, green salad, and balsamic dressing; and were repeated twice in random order. After their insulin bolus, subjects were observed in clinic for 5 h. Linear mixed effects models were used to assess the glycemic response. Results: Compared with white rice, peak glucose levels were significantly lower for higher protein pasta (-32.6 mg/dL; 95% CI -48.4 to -17.2; P < 0.001) and regular pasta (-43.2 mg/dL, 95% CI -58.7 to -27.7; P < 0.001). The difference between the two types of pastas did not reach statistical significance (-11 mg/dL; 95% CI -24.1 to 3.4; P = 0.17). Total glucose area under the curve was also significantly higher for white rice compared with both pastas (P < 0.001 for both comparisons). Conclusions: This exploratory study concluded that different food types of similar macronutrient content (e.g., rice and pasta) generate significantly different postprandial glycemic responses in persons with T1D. These results provide useful insights into the impact of food choices on and optimization of glucose control. Clinical Trial Registry: clinicaltrials.gov NCT03362151.

Feasibility Pilot Study of a Teaching Kitchen and Self-Care Curriculum in a Workplace Setting.

Objective. To examine the feasibility of a prototype Teaching Kitchen (TK) self-care intervention that offers the combination of culinary, nutrition, exercise, and mindfulness instruction with health coaching; and to describe research methods whereby the impact of TK models can be scientifically assessed. Design. Feasibility pilot study. Subjects were recruited, screened, and consented to participate in 14- or 16-week programs. Feasibility was assessed through ease of recruitment and attendance. One-sample t tests and generalized estimating equation models were used to compare differences in groups. Setting. Workplace. Subjects. Two cohorts of 20 employees and their partners. Results. All 40 participants completed the program with high attendance (89%) and response rates on repeated assessments. Multiple changes were observed in biomarkers and self-reported behaviors from baseline to postprogram including significant ( P < .05) decreases from baseline to postprogram in body weight (-2.8 kg), waist circumference (-2.2 in.), systolic and diastolic blood pressure (-7.7 and -6.3 mm Hg, respectively), and total cholesterol (-7.5 mg/dL). While changes in all of the aforementioned biomarkers persisted over the 12-month follow-up (n = 32), only changes in waist circumference and diastolic blood pressure remained statistically different at 12 months. Conclusions. These study findings suggest that a TK curriculum is feasible within a workplace setting and that its impact on relevant behavioral and clinical outcomes can be scientifically assessed.

Cost-Effectiveness of a Team-Based Integrative Medicine Approach to the Treatment of Back Pain.

OBJECTIVES: To report the results of health economic analyses comparing two treatment approaches for chronic low back pain (CLBP). DESIGN: Observational prospective cohort study comparing effectiveness and cost-effectiveness of CLBP care provided at an integrative care clinic with that provided in other clinics within the same hospital. CLBP-related medical utilization, function, quality of life, and days of work incapacity were self-reported at baseline, 3, 6, and 12 months. SETTINGS/LOCATION: Osher Clinical Center (OCC) based at a tertiary academic hospital (Brigham and Women's Hospital [BWH]) and other clinics at BWH. SUBJECTS: CLBP patients seeking care at OCC or non-OCC BWH clinics. INTERVENTIONS: Integrative or conventional care for CLBP as prescribed by the treating clinician(s). OUTCOME MEASURES: Quality-adjusted life years (QALYs) were estimated per treatment approach based on the SF-12. Cost per QALY gained was evaluated using an incremental cost-effectiveness ratio (ICER). ICERs based on CLBP-specific effectiveness measures (Roland Disability Questionnaire [RDQ] and bothersomeness of pain [BOP]) were exploratory outcomes. RESULTS: Total adjusted annual CLBP-related costs per patient were greater in the OCC versus non-OCC group ($11,526.73 vs. $6,810.63). Between group differences in QALYs were small and ICER estimate of cost per QALY gained was high ($436,676). However, unadjusted mean direct costs per patient decreased over time in the OCC group. Savings in direct costs of $391 (95% confidence interval: -1,078 to 1,861) were observed in the OCC group for the 6- to 12-month period, driven primarily by reduced medication usage. ICERs based on adjusted RDQ and BOP group differences showed cost of $2,073 and $4,203 for a one-point reduction per respective scale. CONCLUSIONS: When adjusted for baseline differences, self-reported costs were higher in the OCC group with only small effects on QALYs. However, trends toward decreased direct expenditures and medication usage over time warrant further investigation. Future studies evaluating potential benefits of integrative care models for the management of CLBP should employ randomized designs, longer observational periods, and explore multiple metrics of cost-effectiveness.

Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study.

BACKGROUND: Intensive lifestyle change can treat and even reverse type 2 diabetes. Digital therapeutics have the potential to deliver lifestyle as medicine for diabetes at scale. OBJECTIVE: This 12-week study investigates the effects of a novel digital therapeutic, FareWell, on hemoglobin A1c (HbA1c) and diabetes medication use. METHODS: Adults with type 2 diabetes and a mobile phone were recruited throughout the United States using Facebook advertisements. The intervention aim was to effect a sustainable shift to a plant-based dietary pattern and regular exercise by advancing culinary literacy and lifestyle skill acquisition. The intervention was delivered by an app paired with specialized human support, also delivered digitally. Health coaching was provided every 2 weeks by telephone, and a clinical team was available for participants requiring additional support. Participants self-reported current medications and HbA1c at the beginning and end of the 12-week program. Self-efficacy related to managing diabetes and maintaining dietary changes was assessed via survey. Engagement was recorded automatically through the app. RESULTS: We enrolled 118 participants with a baseline HbA1c >6.5%. Participants were 81.4% female (96/118) and resided in 38 US states with a mean age of 50.7 (SD 9.4) years, baseline body mass index of 38.1 (SD 8.8) kg/m2, and baseline HbA1c of 8.1% (SD 1.6). At 12 weeks, 86.2% (94/109) of participants were still using the app. Mean change in HbA1c was -0.8% (97/101, SD 1.3, P<.001) for those reporting end-study data. For participants with a baseline HbA1c >7.0% who did not change medications midstudy, HbA1c change was -1.1% (67/69, SD 1.4, P<.001). The proportion of participants with an end-study HbA1c <6.5% was 28% (22/97). After completion of the intervention, 17% (16/97) of participants reported a decrease in diabetic medication while 8% (8/97) reported an increase. A total of 57% (55/97) of participants achieved a composite outcome of reducing HbA1c, reducing diabetic medication use, or both; 92% (90/98) reported greater confidence in their ability to manage their diabetes compared to before the program, and 91% (89/98) reported greater confidence in their ability to maintain a healthy dietary pattern. Participants engaged with the app an average of 4.3 times per day. We observed a significantly greater decrease in HbA1c among participants in the highest tertile of app engagement compared to those in the lowest tertile of app engagement (P=.03). CONCLUSIONS: Clinically meaningful reductions in HbA1c were observed with use of the FareWell digital therapeutic. Greater glycemic control was observed with increasing app engagement. Engagement and retention were both high in this widely distributed sample.

A Multidisciplinary Integrative Medicine Team in the Treatment of Chronic Low-Back Pain: An Observational Comparative Effectiveness Study.

OBJECTIVES: Chronic low-back pain (CLBP) is burdensome and costly, and a common condition for which adults use integrative therapies. The effectiveness of multidisciplinary integrative approaches has not been well studied. The purpose of this observational study was to compare characteristics and outcomes of CLBP patients treated at the Osher Clinical Center (OCC) versus other clinics at Brigham and Women's Hospital. DESIGN: Observational comparative effectiveness study. SETTING: Tertiary care hospital. SUBJECTS: Patients ≥21 years with 3+ months of CLBP or 6+ months of intermittent low-back pain. INTERVENTION: All patients were observed for 12 months. OCC patients received care at the integrative clinic (7.3 visits on average over 13 weeks); non-OCC patients received usual care at other clinics of the same hospital. OUTCOME MEASURES: Primary outcomes: change from baseline to 6 months in functional status (Roland Disability Questionnaire [RDQ]) and bothersomeness of pain (BOP). SECONDARY OUTCOMES: change in RDQ and BOP at 3 and 12 months, percentages of patients with clinically meaningful (≥30%) improvements. RESULTS: One hundred fifty-six OCC and 153 non-OCC participants were enrolled; follow-up was 90.4 and 98.0%, respectively, at 12 months. There were substantial differences in baseline characteristics between groups. For RDQ, the adjusted mean group difference was nonsignificant at 6 months; for BOP, the differences were significant, but clinically small. At 12 months, the observed benefit on RDQ was significant and clinically meaningful; for BOP, there were significant, but clinically small differences. Percentages of patients with ≥30% improvements in RDQ were significantly greater in the OCC group only at 12 months, and both 6 and 12 months for BOP. CONCLUSIONS: Baseline characteristics can differ between those who select different sources of healthcare for CLBP. While benefits seen in the OCC versus non-OCC clinics were not large, further evaluation through randomized trials might be warranted to provide a more definitive evaluation.

Meat Cooking Methods and Risk of Type 2 Diabetes: Results From Three Prospective Cohort Studies.

OBJECTIVE: To examine open-flame and/or high-temperature cooking (grilling/barbecuing, broiling, or roasting) and doneness preferences (rare, medium, or well done) for red meat, chicken, and fish in relation to type 2 diabetes (T2D) risk among U.S. adults who consumed animal flesh regularly (≥2 servings/week). RESEARCH DESIGN AND METHODS: The prospective studies included 52,752 women from the Nurses' Health Study (NHS) (followed during 1996-2012), 60,809 women from NHS II (followed during 2001-2013), and 24,679 men from the Health Professionals Follow-Up Study (HPFS) (followed during 1996-2012) who were free of diabetes, cardiovascular disease, and cancer at baseline. Incident cases of T2D were confirmed by validated supplementary questionnaires. RESULTS: We documented 7,895 incident cases of T2D during 1.74 million person-years of follow-up. After multivariate adjustments including baseline BMI and total consumption of red meat, chicken, and fish, higher frequency of open-flame and/or high-temperature cooking was independently associated with an elevated T2D risk. When comparing open-flame and/or high-temperature cooking >15 times/month with <4 times/month, the pooled hazard ratio (HR) (95% CI) of T2D was 1.28 (1.18, 1.39; Ptrend <0.001). When comparing the extreme quartiles of doneness-weighted frequency of high-temperature cooking, the pooled HR (95% CI) of T2D was 1.20 (1.12, 1.28; Ptrend <0.001). These associations remained significant when red meat and chicken were examined separately. In addition, estimated intake of heterocyclic aromatic amines was also associated with an increased T2D risk. CONCLUSIONS: Independent of consumption amount, open-flame and/or high-temperature cooking for both red meat and chicken is associated with an increased T2D risk among adults who consume animal flesh regularly.