Community priorities for obesity prevention among low-income adults in Kuala Lumpur: a discrete choice experiment.

Non-communicable diseases and associated risk factors, such as obesity, are prevalent and increasing in Malaysia. To address this burden and the heightened vulnerability of low-income communities to these risk factors, the Better Health Programme Malaysia conducted a partial-profile discrete choice experiment (DCE) to inform the design of a community-based obesity-prevention programme. The DCE survey was conducted with community members (n = 1453) from three publicly supported low-cost, high-rise flat complexes in urban Kuala Lumpur. In the survey, community members were asked to choose between different sets of potential evidence-based interventions for obesity prevention. Their responses to these choice tasks were analysed to quantify preferences for these different health interventions using a random utility maximization model. Based on these results, we determined participants' relative prioritization of the different options. The most preferred interventions were those that reduced the price of fruit and vegetables; altered cooking practices at restaurants and food vendors to reduce salt, sugar and oil; and offered reward incentives for completing online educational activities. Community members did not prioritize several evidence-based interventions, including changes to product placement or product labelling, suggesting that these effective approaches may be less familiar or simply not preferred by respondents. The DCE enabled the clear articulation of these community priorities for evidence-based interventions that focus on the supply and promotion of affordable healthy foods within the local food environment, as well as community demand for healthier food options.

Non-communicable diseases (NCDs) and the factors that increase NCD risk, such as obesity, are widespread and increasing in Malaysia. Low-income communities are particularly vulnerable to these risk factors. The Better Health Programme (BHP) Malaysia conducted a discrete choice experiment (DCE) to elicit community member preferences for evidence-based health promotion interventions to prevent obesity and NCDs. DCE is a research method used to identify participant preferences between different pre-determined options. The DCE survey was conducted with community members (n = 1453) from three publicly supported low-cost, high-rise flat complexes in urban Kuala Lumpur. In the survey, community members were asked to choose between different potential sets of interventions to alter the environment to prevent obesity. Based on their responses, we determined which interventions were most preferred in each community. The most preferred interventions were those that reduced the price of fruit and vegetables; altered cooking practices at restaurants and food vendors to reduce salt, sugar and oil; and offered rewards for completing online educational activities. The survey enabled the clear articulation of these community priorities for evidence-based interventions. These priorities were used to design the BHP Malaysia intervention programme.

A revealed preference analysis to develop composite scores approximating lung allocation policy in the U.S.

BACKGROUND: The patient ranking process for donor lung allocation in the United States is carried out by a classification-based, computerized algorithm, known as the match system. Experts have suggested that a continuous, points-based allocation framework would better serve waiting list candidates by removing hard boundaries and increasing transparency into the relative importance of factors used to prioritize candidates. We applied discrete choice modeling to match run data to determine the feasibility of approximating current lung allocation policy by one or more composite scores. Our study aimed to demystify the points-based approach to organ allocation policy; quantify the relative importance of factors used in current policy; and provide a viable policy option that adapts the current, classification-based system to the continuous allocation framework. METHODS: Rank ordered logistic regression models were estimated using 6466 match runs for 5913 adult donors and 534 match runs for 488 pediatric donors from 2018. Four primary attributes are used to rank candidates and were included in the models: (1) medical priority, (2) candidate age, (3) candidate's transplant center proximity to the donor hospital, and (4) blood type compatibility with the donor. RESULTS: Two composite scores were developed, one for adult and one for pediatric donor allocation. Candidate rankings based on the composite scores were highly correlated with current policy rankings (Kendall's Tau ~ 0.80, Spearman correlation > 90%), indicating both scores strongly reflect current policy. In both models, candidates are ranked higher if they have higher medical priority, are registered at a transplant center closer to the donor hospital, or have an identical blood type to the donor. Proximity was the most important attribute. Under a points-based scoring system, candidates in further away zones are sometimes ranked higher than more proximal candidates compared to current policy. CONCLUSIONS: Revealed preference analysis of lung allocation match runs produced composite scores that capture the essence of current policy while removing rigid boundaries of the current classification-based system. A carefully crafted, continuous version of lung allocation policy has the potential to make better use of the limited supply of donor lungs in a manner consistent with the priorities of the transplant community.

Influence of Body Mass on Fitness Performance in Naval Special Warfare Operators.

ABSTRACT: Wood, DE and Swain, DP. Influence of body mass on fitness performance in Naval Special Warfare operators. J Strength Cond Res 35(11): 3120-3127, 2021-U.S. Naval Special Operations Forces have performed some of the U.S. Military's most rigorous missions. The Human Performance Program (HPP) developed a physical performance testing battery to assess and monitor physical fitness. Testing bias relative to body mass has been noted in the past literature, including military physical fitness tests. This retrospective study looked to determine whether there is body mass bias in the HPP fitness assessment and whether an optimum body mass for each fitness test could be determined. Data from 333 subjects (age: 28.4 ± 5.0 years; height: 178.4 ± 6.2 cm; mass: 86.0 ± 9.2 kg) were analyzed to compare body mass with performance on the 8 tests: standing long jump, Pro-Agility test, weighted pull-up, body weight bench press, 1 repetition maximum (1RM) deadlift, 274-m shuttle run, 4.83-km run, and 800-m swim. Linear regression analysis was used to analyze the relationship of body mass to performance; a second-degree polynomial was used to determine best-fit curves for each of the physical fitness tests; analysis of variance was used to examine differences in performance between body mass groups. Significantly better performance for lighter subjects was found in the Pro-Agility test, weighted pull-up, body weight bench press, 274-m shuttle run, and 4.83-km run. Heavier subjects performed better in the 1RM deadlift. Second-degree polynomial regression revealed optimum body mass for the Pro-Agility test, 274-m shuttle run, and 4.83-km run to be 7-16 kg heavier than the lowest body mass. These findings could help professionals better assess and train operators of varying body size.

The Physical Parameters of Tactical Climbing and Performance Characteristics of Naval Special Warfare Operators.

ABSTRACT: Wood, DE and Swain, DP. The physical parameters of tactical climbing and performance characteristics of naval special warfare operators. J Strength Cond Res 35(4): 949-954, 2021-Vertical elevation may be critical for advantage to Special Operation Forces and require strength, power, endurance, and technique. This study sought to (a) study differences in physical capacities of Naval Special Warfare lead climbers from nonlead climbers, (b) compare anthropometrics of lead climbers from nonlead climbers, and (c) catalogue the types and weights of the various climbing systems to assess total system weight to the lead climber's body mass. Climbing surveys were collected and retrospective physical capacity data from 15 SEa, Air and Land lead climbers (age: 31.2 ± 5.1 years; height: 181.4 ± 6.4 cm; mass: 89.4 ± 10.0 kg; body fat: 14.1 ± 3.7%) were compared against previously reported data of 305 nonlead climbers (age: 28.8 ± 5.2 years; height: 177.6 ± 12.0 cm; mass: 85.8 ± 9.7 kg; body fat: 17.3 ± 4.7%). Lead climbers had significantly less body fat percentage (p = 0.017). Lead climbers also performed significantly better on the pro-agility test (p = 0.017) and deadlift (p = 0.002). The total mass reported for the climbing equipment for each tactical scenario was up to 4.9 kg for urban climbing, up to 13.7 kg for alpine climbing, and up to 8.0 kg for maritime climbing. With a typical combat load of 21.4 kg, adding an alpine climbing load exceeds one-third of the lead climbers' own body mass. Strength and conditioning programming for this population should take into consideration the total system weight for testing and training purposes and should also consider climbing-specific strength testing and training to optimize climbing capability.

Parental preferences toward genomic sequencing for non-medically actionable conditions in children: a discrete-choice experiment.

PurposeApplication of whole-exome and whole-genome sequencing is likely to increase in clinical practice, public health contexts, and research. We investigated how parental preference for acquiring information from genome-scale testing is influenced by the characteristics of non-medically actionable genetic disorders in children, as well as whether the preferences differed by gender and between African-American and white respondents.MethodsWe conducted a Web-based discrete-choice experiment with 1,289 parents of young children. Participants completed "choice tasks" based on pairs of profiles describing sequencing results for hypothetical genetic disorders, selected the profile in each pair that they believed represented the information that would be more important to know, and answered questions that measured their level of distress.ResultsKnowing the likelihood that the disorder would develop given a true-positive test result was most important to parents. Parents showed greater interest in learning sequencing results for disease profiles with more severe manifestations. This was associated with greater distress. Differences by gender and race reflected small differences in magnitude, but not direction.ConclusionParents preferred to learn results about genetic disorders with more severe manifestations, even when this knowledge was associated with increased distress. These results may help clinicians support parental decision making by revealing which types of sequencing results parents are interested in learning.

Block-Periodized Training Improves Physiological and Tactically Relevant Performance in Naval Special Warfare Operators.

Human performance training and prevention strategies are necessary to promote physical readiness and mitigate musculoskeletal injuries of the Naval Special Warfare (NSW) Operator. The purpose of this study was to measure the effectiveness of 2 training programs when performed during a training evolution of Operators. A total of 85 Operators (experimental: n = 46, age: 29.4 ± 5.5 years, height: 176.7 ± 6.4 cm, mass: 86.7 ± 11.6 kg; control: n = 39, age: 29.0 ± 6.0 years, height: 177.1 ± 6.3 cm, mass: 85.7 ± 12.5 kg) participated in a trial to measure the effectiveness of these programs to improve physical, physiological, and performance characteristics. Operators in the experimental group performed a 12-week block-periodized program, whereas those in the control group performed a nonlinear periodized program. Pretesting/posttesting was performed to assess body composition, aerobic capacity/lactate threshold, muscular strength, flexibility, landing biomechanics, postural stability, and tactically relevant performance. The experimental group demonstrated a significant loss in body fat, fat mass, and body mass compared with the control group, whereas aerobic capacity increased for the both groups. The experimental group demonstrated a significant increase in posterior shoulder flexibility and ankle dorsiflexion, whereas the control group had a significant reduction in shoulder, knee, and ankle flexibility. The experimental group also improved landing strategies and balance. Both groups improved upper and lower muscular power and upper-body muscular endurance, whereas only the experimental group demonstrated significant improvements in agility and total body muscular strength. Implementation of a population-specific training program provides structured and progressive training effectively and promotes physical readiness concurrently with tactical training without overload.

Development and Implementation of a New Physical Training Concept in the Norwegian Navy Special Operations Command.

A high level of physical fitness is one important factor for optimal performance in Special Operation Forces (SOF). Still, information about physical training for SOF operators is not easily accessible. This study aimed to implement and assess a new training concept in the Norwegian Navy SOF. A longitudinal study where 22 operators completed a 6-month linear periodization (LP), followed by a 6-month nonlinear periodization (NLP) program. Both protocols were block periodized, focusing on either strength or aerobic capacity. A battery of tests covering strength, endurance, power, mobility, and body composition was performed, and individual capacity analyses were established. A training week consisted of 5 to 6 sessions including 1 or 2 individualized sessions directed towards improving the weakest capacity. The LP had a clear effect on mobility (19 ± 9%), abdominal strength (25 ± 16%), upper body power (PowerUB; 6 ± 9%), standing long-jump (3 ± 6%), pull-ups (24 ± 31%), agility (2 ± 4%), V[Combining Dot Above]O2max (2 ± 3%), fat percent (-5 ± 31%), and muscle mass (1 ± 3%). The NLP increased abdominal strength (15 ± 17%), standing long-jump (3 ± 4%), and anaerobic capacity (10 ± 8%), whereas V[Combining Dot Above]O2 max (-3 ± 4%) and PowerUB (-2 ± 7%) decreased. Additional analyses showed clear increases among those individually instructed to improve strength. Results support the benefits of combined periodized programming and individualized training sessions among SOF operators with initially good fitness levels. Largest effects were observed in the first phase with the LP. However, subsequent NLP additionally increased anaerobic and jumping capacity, possibly due to more frequent muscular endurance and power training. Because of frequent interruptions, the LP tended to be more difficult to follow than the NLP and is suggested when continuity is possible, whereas an NLP is recommended for maintenance and when standing on national preparedness.

Salivary hormone response to 12-week block-periodized training in naval special warfare operators.

Naval Special Warfare (NSW) Operators are expected to maintain a high degree of physical readiness requiring continual operational training. The physiological and psychological demands associated with operational training can result in physiological consequences evidenced by hormonal alterations justifying the need for periodized training to maintain or improve physical readiness. This study examined the pattern and time course of hormone changes during 12-week block-periodized training program (BP) in NSW Operators undergoing routine training. Eighteen NSW Operators (31 ± 6 years, 86.6 ± 9.0 kg, 176.2 ± 5.9 cm, 17.5 ± 6.5% fat) participated in a 12-week BP during routine operational training. Salivary free testosterone (FT), dehydroepiandrosterone sulfate (DHEA-S), and cortisol (C) were obtained at 4 time points coincident with changes in intensity and volume. In the second block of training in which intensity and volume were increased, FT and C increased by 20.3 ± 7.4 and 20.8 ± 9.9%, respectively. Free testosterone and C returned to baseline values concomitant with the decrease in intensity and volume at the conclusion of the third block of training. No significant differences were observed in FT-to-C ratio over the course of training. DHEA-S increased 23.1 ± 11.0% following block 1, with a further increase observed following block 2 (57.0 ± 17.4%). Our data indicate training following BP produces a pattern and time course of hormone changes congruent with changes in intensity and volume suggesting BP as a potential training model for NSW Operators and other Special Forces Operators involved in operational training.

What a Special Operations Cognitive Assessment Should Look Like.

Special Operations organizations have recently demonstrated their commitment to enhanced cognitive functioning and improving brain health through the development of a Cognitive Domain. However, as this new enterprise becomes supported by more resources and personnel, a critical question involves what cognitive assessments should be conducted to evaluate cognitive functions. The assessment itself forms a crux in the Cognitive Domain that could mislead cognitive practitioners if not properly applied. Here, the discussion addresses the most important criteria to satisfy in the development of a Special Operations cognitive assessment, including operational relevance, optimization, and speed. Cognitive assessments in this domain must incorporate the following: (1) a task with clear operational relevance to ensure meaningful results, (2) no ceiling effects so that performance can support cognitive enhancement initiatives, and (3) the task itself should impose a minimal time requirement to avoid creating a substantial logistical burden. A dynamic threat assessment task supported by drift diffusion modeling can meet all requisite criteria, while also providing more insight into decision parameters of Special Operations personnel than any currently used test. The discussion concludes with a detailed description of this recommended cognitive assessment task, as well as the research and development steps needed to support its application.

Creation of an Inflammatory Bowel Disease Referral Pathway for Identifying Patients Who Would Benefit From Inflammatory Bowel Disease Specialist Consultation.

BACKGROUND: Recommendations regarding signs and symptoms that should prompt referral of patients with inflammatory bowel disease (IBD) to an IBD specialist for a consultation could serve to improve the quality of care for these patients. Our aim was to develop a consult care pathway consisting of clinical features related to IBD that should prompt appropriate consultation. METHODS: A scoping literature review was performed to identify clinical features that should prompt consultation with an IBD specialist. A panel of 11 experts was convened over 4 meetings to develop a consult care pathway using the RAND/UCLA Appropriateness Method. Items identified via scoping review were ranked and were divided into major and minor criteria. Additionally, a literature and panel review was conducted assessing potential barriers and facilitators to implementing the consult care pathway. RESULTS: Of 43 features assessed, 13 were included in the care pathway as major criteria and 15 were included as minor criteria. Experts agreed that stratification into major criteria and minor criteria was appropriate and that 1 major or 2 or more minor criteria should be required to consider consultation. The greatest barrier to implementation was considered to be organizational resource allocation, while endorsements by national gastroenterology and general medicine societies were considered to be the strongest facilitator. CONCLUSIONS: This novel referral care pathway identifies key criteria that could be used to triage patients with IBD who would benefit from IBD specialist consultation. Future research will be required to validate these findings and assess the impact of implementing this pathway in routine IBD-related care.

This study aimed to develop a care pathway consisting of clinical features that should prompt inflammatory bowel disease expert consultation. A scoping literature review was performed to identify attributes, and an expert panel finalized the structure and components of the pathway.

Patient preferences for facility-based management of hypertension and diabetes in rural Uganda: a discrete choice experiment.

OBJECTIVE: To explore how respondents with common chronic conditions-hypertension (HTN) and diabetes mellitus (DM)-make healthcare-seeking decisions. SETTING: Three health facilities in Nakaseke District, Uganda. DESIGN: Discrete choice experiment (DCE). PARTICIPANTS: 496 adults with HTN and/or DM. MAIN OUTCOME MEASURES: Willingness to pay for changes in DCE attributes: getting to the facility, interactions with healthcare providers, availability of medicines for condition, patient peer-support groups; and education at the facility. RESULTS: Respondents were willing to pay more to attend facilities that offer peer-support groups, friendly healthcare providers with low staff turnover and greater availabilities of medicines. Specifically, we found the average respondent was willing to pay an additional 77 121 Ugandan shillings (UGX) for facilities with peer-support groups over facilities with none; and 49 282 UGX for 1 month of medicine over none, all other things being equal. However, respondents would have to compensated to accept facilities that were further away or offered health education. Specifically, the average respondent would have to be paid 3929 UGX to be willing to accept each additional kilometre they would have to travel to the facilities, all other things being equal. Similarly, the average respondent would have to be paid 60 402 UGX to accept facilities with some health education, all other things being equal. CONCLUSIONS: Our findings revealed significant preferences for health facilities based on the availability of medicines, costs of treatment and interactions with healthcare providers. Understanding patient preferences can inform intervention design to optimise healthcare service delivery for patients with HTN and DM in rural Uganda and other low-resource settings.

Development of a Patient Preference Survey for Wearable Kidney Replacement Therapy Devices.

Background: Recent innovations have the potential to disrupt the current paradigm for kidney failure treatment. The US Food and Drug Administration is committed to incorporating valid scientific evidence about how patients weigh the benefits and risks of new devices into their decision making, but to date, premarket submission of patient preference information (PPI) has been limited for kidney devices. With input from stakeholders, we developed a survey intended to yield valid PPI, capturing how patients trade off the potential benefits and risks of wearable dialysis devices and in-center hemodialysis. Methods: We conducted concept elicitation interviews with individuals receiving dialysis to inform instrument content. After instrument drafting, we conducted two rounds of pretest interviews to evaluate survey face validity, comprehensibility, and perceived relevance. We pilot tested the survey with in-center hemodialysis patients to assess comprehensibility and usability further. Throughout, we used participant input to guide survey refinements. Results: Thirty-six individuals receiving in-center or home dialysis participated in concept elicitation (N=20) and pretest (N=16) interviews. Participants identified reduced fatigue, lower treatment burden, and enhanced freedom as important benefits of a wearable device, and many expressed concerns about risks related to device disconnection-specifically bleeding and infection. We drafted a survey that included descriptions of the risks of serious bleeding and serious infection and an assessment of respondent willingness to wait for a safer device. Input from pretest interviewees led to various instrument modifications, including treatment descriptions, item wording, and risk-level explanations. Pilot testing of the updated survey among 24 in-center hemodialysis patients demonstrated acceptable survey comprehensibility and usability, although 50% of patients required some assistance. Conclusions: The final survey is a 54-item web-based instrument that will yield estimates of the maximal acceptable risk for the described wearable device and willingness to wait for wearable devices with lower risk.

Using a multistakeholder collaboratory and patient surveys to inform the conduct of personalized (N-of-1) trials.

OBJECTIVE: Personalized trials have the potential to improve the precision of treatment selection and foster patient involvement in clinical decision making. Little is known about the attitudes of patients with multimorbidities. To address this, stakeholders designed and conducted a national survey that determined general attitudes and features of personalized trials that may increase their use among patients with multimorbidities in clinical and research practice. METHOD: A multistakeholder collaboratory of patients, clinicians, scientists, methodologists, statisticians, and research disseminators designed a survey to determine the conditions, symptoms, and design attributes most applicable to personalized trials according to patients. A sample of U.S. patients with two or more prespecified personalized-trial-amenable chronic conditions completed the online survey. RESULTS: Multimorbid participants (N = 501; M age = 56.1 years) showed that some conditions, symptoms or use cases for personalized trials include pain (57.6%), hypertension (38.8%), diabetes (28.8%), sleep problems (27.4%), and depression (23.0%). Overall, 82.0% of the participants with multimorbidities were interested in participating in personalized trials. The percentage that were interested varied by trial attributes, including physician involvement (86.4%), patient-driven treatment selection (88.0%), clinician blinding (59.2%), placebo treatment options (57.5%), and out-of-pocket costs (41.8%). CONCLUSION: Participants with multimorbidities identified prevalent use cases that are suited to personalized trials. Participants also identified design features of such trials, including patient-driven treatment selection, active comparators, and nonblinding. This study demonstrates that eliciting input from a collaboratory and patients with multimorbidities can inform research priorities for this rapidly growing patient population and increase adoption by researchers and clinicians alike. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Preferences of Adult Patients With Inflammatory Bowel Disease for Attributes of Clinical Trials: Evidence From a Choice-Based Conjoint Analysis.

Background: Clinical trial recruitment is the rate-limiting step in developing new treatments. To understand inflammatory bowel disease (IBD) patient recruitment, we investigated two questions: Do changes in clinical trial attributes, like monetary compensation, influence recruitment rates, and does this influence differ across subgroups? Methods: We answered these questions through a conjoint survey of 949 adult IBD patients. Results: Recruitment rates are influenced by trial attributes: small but significant increases are predicted with lower placebo rates, reduced number of endoscopies, less time commitment, open label extension, and increased involvement of participant's primary GI physician. A much stronger effect was found with increased monetary compensation. Latent class analysis indicated three patient subgroups: some patients quite willing to participate in IBD trials, some quite reluctant, and others who can be persuaded. The persuadable group is quite sensitive to monetary compensation, and payments up to US$2,000 for a 1-year study could significantly increase recruitment rates for IBD clinical trials. Conclusions: This innovative study provides researchers with a framework for predicting recruitment rates for different IBD clinical trials.

Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey.

OBJECTIVE: To describe individual patient preferences for Personalised Trials and to identify factors and conditions associated with patient preferences. DESIGN: Each participant was presented with 18 conjoint questions via an online survey. Each question provided two choices of Personalised Trials that were defined by up to eight attributes, including treatment types, clinician involvement, study logistics and trial burden on a patient. SETTING: Online survey of adults with at least two common chronic conditions in the USA. PARTICIPANTS: A nationally representative sample of 501 individuals were recruited from the Chronic Illness Panel by Harris Poll Online. Participants were recruited from several sources, including emails, social media and telephone recruitment of the target population. MAIN OUTCOME MEASURES: The choice of Personalised Trial design that the participant preferred with each conjoint question. RESULTS: There was large variability in participants' preferences for the design of Personalised Trials. On average, they preferred certain attributes, such as a short time commitment and no cost. Notably, a population-level analysis correctly predicted 62% of the conjoint responses. An empirical Bayesian analysis of the conjoint data, which supported the estimation of individual-level preferences, improved the accuracy to 86%. Based on estimates of individual-level preferences, patients with chronic pain preferred a long study duration (p≤0.001). Asthma patients were less averse to participation burden in terms of data-collection frequency than patients with other conditions (p=0.002). Patients with hypertension were more cost-sensitive (p<0.001). CONCLUSION: These analyses provide a framework for elucidating individual-level preferences when implementing novel patient-centred interventions. The data showed that patient preference in Personalised Trials is highly variable, suggesting that individual differences must be accounted for when marketing Personalised Trials. These results have implications for advancing precise interventions in Personalised Trials by indicating when rigorous scientific principles, such as frequent monitoring, is feasible in a substantial subset of patients.

Economic modeling for improved prediction of saving estimates in healthcare costs from consumption of healthy foods: the Mediterranean-style diet case study.

BACKGROUND: By design, existing scenario-based nutrition economics studies on the financial benefits of healthy dietary behaviors generally report uncertainty in inputs and wide ranges of outcome estimates. OBJECTIVES: This modeling exercise aimed to establish precision in prediction of the potential healthcare cost savings that would follow a reduction in the incidence of cardiovascular disease (CVD) consistent with an increase in adherence to a Mediterranean-style diet (MedDiet). DESIGN: Using a Monte Carlo simulation model on a cost-of-illness analysis assessing MedDiet adherence, CVD incidence reduction, and healthcare cost savings in the United States and Canada, short- and long-term cost savings that are likely to accrue to the American and Canadian healthcare systems were estimated using 20 and 80% increases in MedDiet adherence scenarios. RESULTS: Increasing percentage of population adhering to a MedDiet by 20% beyond the current adherence level produced annual savings in CVD-related costs of US$8.2 billion (95% confidence interval [CI], $7.5-$8.8 billion) in the United States and Can$0.32 billion (95% CI, $0.29-$0.34 billion) in Canada. An 80% increase in adherence resulted in savings equal to US$31 billion (95% CI, $28.6-$33.3 billion) and Can$1.2 billion (95% CI, $1.11-$1.30 billion) in each respective country. CONCLUSION: Computational techniques with stochastic parameter inputs, such as the Monte Carlo simulation, could be an effective way of incorporating variability of modeling parameters in nutrition economics studies for improved precision in estimating the monetary value of healthy eating habits.

Patient preferences for personalized (N-of-1) trials: a conjoint analysis.

OBJECTIVE: Despite their promise for increasing treatment precision, Personalized Trials (i.e., N-of-1 trials) have not been widely adopted. We aimed to ascertain patient preferences for Personalized Trials. STUDY DESIGN AND SETTING: We recruited 501 adults with ≥2 common chronic conditions from Harris Poll Online. We used Sawtooth Software to generate 45 plausible Personalized Trial designs comprising combinations of eight key attributes (treatment selection, treatment type, clinician involvement, blinding, time commitment, self-monitoring frequency, duration, and cost) at different levels. Conditional logistic regression was used to assess relative importance of different attributes using a random utility maximization model. RESULTS: Overall, participants preferred Personalized Trials with no costs vs. $100 cost (utility difference 1.52 [standard error 0.07], P < 0.001) and with less vs. more time commitment/day (0.16 [0.07], P < 0.015) but did not hold preferences for the other six attributes. In subgroup analyses, participants ≥65 years, white, and with income ≤$50,000 were more averse to costs than their counterparts (P all <0.05). CONCLUSION: To optimize dissemination, Personalized Trial designers should seek to minimize out-of-pocket costs and time burden of self-monitoring. They should also consider adaptive designs that can accommodate subgroup differences in design preferences.

Vitamin-Fortified Snack Food May Lead Consumers to Make Poor Dietary Decisions.

BACKGROUND: The US Food and Drug Administration's (FDA's) fortification policy discourages the fortification of certain foods, including sugars and snack foods such as cookies, candies, cakes, chips, and carbonated beverages, yet manufacturers sometimes add vitamins and minerals to snack foods. OBJECTIVE: To assess whether vitamin-fortified snack foods affect consumers' information-seeking, purchase decisions, and product-related health perceptions. DESIGN: For this experimental study, participants were randomly assigned to study conditions to compare products that varied in product type, nutrition profile, and fortification and nutrient claim status. Data were collected via an online consumer panel. PARTICIPANTS/SETTING: US adults aged 18 years and older were randomly selected from Research Now's e-panel online household panel. Data were collected during fall 2014 (N=5,076). INTERVENTION: Participants were randomly assigned to one of 24 conditions: two products (vegetable chip/potato chip), two nutrition profiles (healthier/less healthy), two fortification scenarios (not fortified/fortified), and three nutrient claim conditions (two no claim/one with claim). The design was not balanced; claims were not shown on products that were not vitamin fortified. MAIN OUTCOME MEASURES: Outcome measures were information-seeking (viewed the Nutrition Facts label), purchase decisions, perception of product healthfulness, and correct selection of product with the healthier nutrient profile. STATISTICAL ANALYSIS PERFORMED: Logistic regression was used to test all models. Analyses was adjusted for general label use, consumes product, health status, age, sex, level of education, presence of children in the household, and race/ethnicity. RESULTS: When the snack food carried a nutrient claim for vitamin fortification, participants were 1) less likely to look for nutrition information on the Nutrition Facts label, 2) more likely to select the product for purchase, 3) more likely to perceive the product as healthier, and 4) less likely to correctly choose the healthier product. CONCLUSIONS: Snack foods that have been vitamin-fortified may cause consumers to make poor dietary decisions.

Descriptive Epidemiology of Musculoskeletal Injuries in Naval Special Warfare Sea, Air, and Land Operators.

The purpose of this analysis was to describe medical chart reviewed musculoskeletal injuries among Naval Special Warfare Sea, Air, and Land Operators. 210 Operators volunteered (age: 28.1 ± 6.0 years, height: 1.8 ± 0.1 m, weight: 85.4 ± 9.3 kg). Musculoskeletal injury data were extracted from subjects' medical charts, and injuries that occurred during 1 year were described. Anatomic location of injury, cause of injury, activity when injury occurred, and injury type were described. The frequency of injuries was 0.025 per Operator per month. Most injuries involved the upper extremity (38.1% of injuries). Frequent anatomic sublocations for injuries were the shoulder (23.8%) and lumbopelvic region of the spine (12.7%). Lifting was the cause of 7.9% of injuries. Subjects were participating in training when 38.1% of injuries occurred and recreational activity/sports when 12.7% of injuries occurred. Frequent injury types were strain (20.6%), pain/spasm/ache (19.0%), fracture (11.1%), and sprain (11.1%). The results of this analysis underscore the need to investigate the risk factors, especially of upper extremity and physical activity related injuries, in this population of Operators. There is a scope for development of a focused, customized injury prevention program, targeting the unique injury profile of this population.