Food security status and cardiometabolic health by sex/gender and race/ethnicity among adults in the United States.

BACKGROUND: Minoritized racial/ethnic groups and women in the United States (US) are disproportionately burdened by food insecurity, which likely contributes to disparities in cardiovascular health (CVH). Disparities are projected to widen due to the worsening climate crisis that is straining the agricultural system including food supplies. Nonetheless, studies have not investigated the relationship between food security status and 'ideal' CVH in a large, nationally-representative and racially/ethnically diverse US sample. METHODS AND RESULTS: We investigated household food security status in relation to 'ideal' CVH among US adults (N = 157,001) using 2014-2018/2020 National Health Interview Survey data. Food security status was defined as very low, low, marginal, or high. A summed score of 4 health behaviors and 3 clinical factors totaling 7 different measures was dichotomized (yes/no) to assess modified 'ideal' CVH (mICVH). Using Poisson regression with robust variance, we estimated prevalence ratios (PRs) and 95% CIs of mICVH by household food security status. We stratified models by sex/gender and race/ethnicity. Very low food security prevalence was higher among non-Hispanic (NH)-Black (8.0%) compared to Hispanic/Latinx (5.1%), NH-White (3.1%) and NH-Asian (1.7%) adults. The association between very low versus high food security and mICVH was stronger among women (PR = 0.23 [95% CI: 0.17-0.31]) than men (PR = 0.48 [95% CI: 0.35-0.66]). Compared to NH-White adults with high food security, racially/ethnically minoritized groups with very low to high food security were generally less likely (range: [PRvery low = 0.25[95% CI: 0.14-0.44] - [PRhigh = 0.88 [95% CI: 0.79-0.97]) to meet mICVH criteria. CONCLUSIONS: Food insecurity was associated with lower mICVH prevalence and racially/ethnically minoritized groups were disproportionately burdened.

Residential proximity to metal emitting industries and toenail metal concentration in the US Gulf States.

Objective: The US Gulf region is heavily reliant on metal-emitting petrochemical and manufacturing industries. We characterized the effect of residential proximity to metal-emitting sites and metal body burden in Gulf states residents with particular attention to potential differential exposure burden by race. Methods: We measured toenail concentrations of arsenic, chromium, lead, manganese, mercury, and selenium using inductively coupled plasma mass spectrometry in 413 non-smoking men from the Gulf Long-term Follow-Up Study. Point sources of industrial metal emissions were identified using the US EPA's National Emissions Inventory (NEI) database and geocoded to participant residential addresses. For each metal, we assessed associations of toenail metal concentrations with the inverse-distance weighted number of emissions sites and volume of air-metal emissions within 30 km radial buffers of participant residences using multivariable linear regression. Results were stratified by race. Results: Compared to self-identified Non-Hispanic (NH) White participants, NH Black participants lived closer to NEI sites but had 23-70% lower toenail metal concentrations adjusting for other personal/behavioral factors. Residential proximity to lead-emitting NEI sites was positively associated with toenail Pb concentration while proximity to mercury-emitting NEI sites was inversely associated with toenail Hg concentration. Findings for lead were significantly attenuated after adjustment for neighborhood-level socioeconomic factors. Conclusion: Residential proximity to lead-emitting NEI sites in the US Gulf region is associated with a higher body burden of lead. However, this relationship may be driven in part by non-NEI factors related to residence in industry-adjacent neighborhoods.

Neighborhood Social Cohesion and Obesity in the United States.

Low neighborhood social cohesion (nSC) has been associated with obesity. Still, few studies have assessed the nSC-obesity relationship among a large, nationally representative, and racially/ethnically diverse sample of the United States population. To address this literature gap, we examined cross-sectional associations among 154,480 adult participants of the National Health Interview Survey (NHIS) from 2013-2018. We also determined if associations varied by race/ethnicity, sex/gender, age, annual household income, and food security status. Based on a 4-item scale from the Project on Human Development in Chicago Neighborhoods Community Survey, we categorized nSC as low, medium, and high. Based on body mass index (BMI) recommendations, we categorized obesity as ≥30 kg/m2. We used Poisson regression with robust variance to directly estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) while adjusting for sociodemographic characteristics, such as annual household income, educational attainment, and marital status, along with other confounders. Study participants' mean age ± standard error was 47.1±0.1 years; most (69.2%) self-identified as Non-Hispanic (NH)-White, and 51.0% were women. NH-Black and Hispanic/Latinx adults comprised more of the population in neighborhoods with low nSC (14.0% NH-Black, 19.1% Hispanic/Latinx, and 61.8% NH-White) versus high nSC (7.7% NH-Black, 10.4% Hispanic/Latinx and 77.0% NH-White). Low vs. high nSC was associated with a 15% higher prevalence of obesity (PR=1.15 [95% CI: 1.12-1.18]), and the magnitude of the association was more substantial among NH-White (PR=1.21 [95% CI: 1.17-1.25]) compared to associations among Hispanic/Latinx (PR=1.04 [95% CI: 0.97-1.11]) and NH-Black (PR=1.01 [95% CI: 0.95-1.07]) adults. Low vs. high nSC was associated with a 20% higher prevalence of obesity in women (PR=1.20 [95% CI: 1.16-1.24]) compared to a 10% higher prevalence in men (PR=1.10 [95% CI: 1.06-1.14]). Low vs. high nSC was associated with a 19% higher prevalence of obesity among adults ≥50 years old (PR=1.19 [95% CI: 1.15-1.23]) compared to a 7% higher prevalence of obesity among adults <50 years old (PR=1.07 [95% CI: 1.03-1.11]). Efforts to address nSC may improve health and address health disparities.

Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States.

Occupational characteristics may influence serious psychological distress (SPD) and contribute to health inequities; yet, few studies have examined multiple employment industries and occupational classes in a large, racially diverse sample of the United States. Using data from the National Health Interview Survey, we investigated employment industry and occupational class in relation to SPD in the overall population and by race/ethnicity, gender, age, household income, and health status. We created eight employment industry categories: professional/administrative/management, agricultural/manufacturing/construction, retail trade, finance/information/real estate, educational services, health care/social assistance, accommodation/food services, and public administration/arts/other services. We also created three occupational class categories: professional/management, support services, and laborers. SPD was measured using the Kessler Psychological Distress Scale and scores ≥13 indicated SPD. We adjusted for confounders and used Poisson regression to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Among the 245,038 participants, the mean age was 41.7 ± 0.1 years, 73% were Non-Hispanic (NH)-White, and 1.5% were categorized as having SPD. Compared to the professional/administrative/management industry, working in other industries (e.g., manufacturing/construction (PR = 0.82 [95% CI: 0.70-0.95]) and educational services (PR = 0.79 [95% CI: 0.66-0.94])) was associated with lower SPD. Working in support services and laborer versus professional/management positions were both associated with 19% higher prevalence of SPD (95% CI: 1.04-1.35; 95% CI: 1.04-1.38, respectively). Furthermore, working in a support services or laborer versus professional/management position was associated with higher SPD in most employment industries. Industry-specific workplace interventions to equitably improve mental health are warranted.

Neighborhood social cohesion and serious psychological distress among Asian, Black, Hispanic/Latinx, and White adults in the United States: a cross-sectional study.

BACKGROUND: Serious psychological distress (SPD) is common and more prevalent in women, older adults, and individuals with a low-income. Prior studies have highlighted the role of low neighborhood social cohesion (nSC) in potentially contributing to SPD; however, few have investigated this association in a large, nationally representative sample of the United States. Therefore, our objective was to investigate the overall and racial/ethnic-, sex/gender-, self-rated health status-, age-, and household income-specific relationships between nSC and SPD. METHODS: We used data from survey years 2013 to 2018 of the National Health Interview Survey to investigate nSC and SPD among Asian, Non-Hispanic (NH)-Black, Hispanic/Latinx, and NH-White men as well as women in the United States (N = 168,573) and to determine modification by race/ethnicity, sex/gender, self-rated health status, age, and annual household income. nSC was measured by asking participants four questions related to the trustworthiness and dependability of their neighbors. nSC scores were trichotomized into low (< 12), medium (12-14), and high (15-16). SPD was measured using the Kessler 6 psychological distress scale with scores ≥ 13 indicating SPD. After adjusting for sociodemographic, health behavior, and clinical confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). RESULTS: Among 168,573 participants, most were Non-Hispanic (NH)-White (69%), and mean age was 47 ± 0.01 years. After adjustment, low vs. high nSC was associated with a 75% higher prevalence of SPD overall (PR = 1.75 [1.59-1.92]), 4 times the prevalence of SPD among Asian men (PR = 4.06 [1.57-10.50]), 2 times the prevalence of SPD among participants in at least good health (PR = 2.02 [95% CI: 1.74-2.35]), 92% higher prevalence of SPD among participants ≥ 50 years old (PR = 1.92 [1.70-2.18]), and approximately 3 times the prevalence of SPD among Hispanic/Latinx participants with household incomes ≥ $75,000 (PR = 2.97 [1.45-6.08]). CONCLUSIONS: Low nSC was associated with higher SPD in the overall population and the magnitude of the association was higher in Asian men, participants who reported good health, older participants, and Hispanic/Latinx adults with higher household incomes. Future research should continue to examine how neighborhood contexts can affect health across various sociodemographic groups, especially among groups with multiple marginalized social identities.

Improved assessment and performance monitoring of a biowall at a chlorinated solvent site using high-resolution passive sampling.

This study contrasts the use of high-resolution passive sampling and traditional groundwater monitoring wells (GWMW) to characterize a chlorinated solvent site and assess the effectiveness of a biowall (mulch, compost and sand) that was installed to remediate trichloroethene (TCE), the primary contaminant of concern. High-resolution passive profilers (HRPPs) were direct driven hydraulically upgradient, within, and hydraulically downgradient of the biowall and in close proximity to existing GWMWs. Compared with hydraulically upgradient locations, the biowall was highly reducing, there were higher densities of bacteria/genes capable of reductive dechlorination, and TCE was being reductively transformed, but not completely, as cis-1,2-dichloroethene (cis-DCE) was detected within and hydraulically downgradient of the biowall. However, based on the high-resolution data, there were a number of important findings which were not discoverable using data from GWMWs alone. Data from the HRPPs indicate that the biowall was completely transforming TCE to ethene (C2H4) except within a high velocity interval, where the concentrations were reduced, but breakthrough of cis-DCE was apparent. Hydraulically upgradient of the biowall, concentrations of TCE increased with depth where a very low permeability zone exists that will likely remain as a long-term source. In addition, although low concentrations of cis-DCE were present downgradient of the biowall, surfacing into a downgradient stream was not detected. This study demonstrates the advantages of high-resolution passive sampling of aquifers to assess the performance of remediation techniques compared to traditional methods such as GWMWs.

Patient-specific Extravasation Dosimetry Using Uptake Probe Measurements.

ABSTRACT: Extravasation is a common problem in radiopharmaceutical administration and can result in significant radiation dose to underlying tissue and skin. The resulting radiation effects are rarely studied and should be more fully evaluated to guide patient care and meet regulatory obligations. The purpose of this work was to show that a dedicated radiopharmaceutical injection monitoring system can help clinicians characterize extravasations for calculating tissue and skin doses. We employed a commercially available radiopharmaceutical injection monitoring system to identify suspected extravasation of 18F-fluorodeoxyglucose and 99mTc-methylene diphosphonate in 26 patients and to characterize their rates of biological clearance. We calculated the self-dose to infiltrated tissue using Monte Carlo simulation and standard MIRD dosimetry methods, and we used VARSKIN software to calculate the shallow dose equivalent to the epithelial basal-cell layer of overlying skin. For 26 patients, injection-site count rate data were used to characterize extravasation clearance. For each, the absorbed dose was calculated using representative tissue geometries. Resulting tissue-absorbed doses ranged from 0.6 to 11.2 Gy, and the shallow dose equivalent to a 10 cm2 area of adjacent skin in these patients ranged from about 0.1 to 5.4 Sv. Extravasated injections of radiopharmaceuticals can result in unintentional doses that exceed well-established radiation protection and regulatory limits; they should be identified and characterized. An external injection monitoring system may help to promptly identify and characterize extravasations and improve dosimetry calculations. Patient-specific characterization can help clinicians determine extravasation severity and whether the patient should be followed for adverse tissue reactions that may present later in time.

Does the preferred walk-run transition speed on steep inclines minimize energetic cost, heart rate or neither?

As walking speed increases, humans choose to transition to a running gait at their preferred transition speed (PTS). Near that speed, it becomes metabolically cheaper to run rather than to walk and that defines the energetically optimal transition speed (EOTS). Our goals were to determine: (1) how PTS and EOTS compare across a wide range of inclines and (2) whether the EOTS can be predicted by the heart rate optimal transition speed (HROTS). Ten healthy, high-caliber, male trail/mountain runners participated. On day 1, subjects completed 0 and 15 deg trials and on day 2, they completed 5 and 10 deg trials. We calculated PTS as the average of the walk-to-run transition speed (WRTS) and the run-to-walk transition speed (RWTS) determined with an incremental protocol. We calculated EOTS and HROTS from energetic cost and heart rate data for walking and running near the expected EOTS for each incline. The intersection of the walking and running linear regression equations defined EOTS and HROTS. We found that PTS, EOTS and HROTS all were slower on steeper inclines. PTS was slower than EOTS at 0, 5 and 10 deg, but the two converged at 15 deg. Across all inclines, PTS and EOTS were only moderately correlated. Although EOTS correlated with HROTS, EOTS was not predicted accurately by heart rate on an individual basis.

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States.

Although low neighborhood social cohesion (nSC) has been linked with poor sleep, studies of racially/ethnically diverse participants using multiple sleep dimensions remain sparse. Using National Health Interview Survey data, we examined overall, age, sex/gender, and racial/ethnic-specific associations between nSC and sleep health among 167,153 adults. Self-reported nSC was categorized into low, medium, and high. Very short sleep duration was defined as <6 hours; short as <7 h, recommended as 7-9 h, and long as ≥9 h. Sleep disturbances were assessed based on trouble falling and staying asleep, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions by low and medium vs. high nSC. The mean age of the sample was 47 ± 0.1 years, 52% of those included were women, and 69% were Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of very short sleep (PR = 1.29; (95% CI = 1.23-1.36)). After adjustment, low vs. high nSC was associated with very short sleep duration among NH-White (PR = 1.34 (95% CI = 1.26-1.43)) and NH-Black (PR = 1.14 (95% CI = 1.02-1.28)) adults. Low nSC was associated with shorter sleep duration and sleep disturbances.

Effects of Three Modest Levels of Proximal Loading on Marathon Pace Running Economy.

This study examined the effect of modest increases in proximal body mass on running economy expressed as metabolic cost (MC). External loads of 1.6 (L), 2.4 (M), and 3.2 kg (H) were added to the anterior and posterior torso region of male (n = 18) and female (n = 18) runners using a double-layered compression garment with gel inserts. MC was evaluated using stoichiometry equations of data collected via indirect calorimetry. Data was collected during four, 5-min running bouts at marathon pace for the 3 load levels and an unloaded state (CON). When data from both sexes were combined, MC for CON (13.2 ± 2.7) was lower (p < 0.05) versus L (13.5 ± 2.6), M (13.6 ± 2.6), and H (13.7 ± 2.6 kcal/min), but L did not differ from CON when data was analyzed for each sex. Male runners exhibited stepped increases in MC across loads and a weak-moderate relationship (r = 0.37; p < 0.01) between percentage change in absolute MC and increased percent body mass. A prediction model for MC (Δ% kcal/min = 0.98(Δ% body mass) - 0.91; SEE = ± 2.5%) was developed. For female runners, L increased MC by ~3.5% above CON, but no differentiation was found among L, M, and H, limiting the development of a prediction equation for females. Modest increases in body mass can produce detectable and potentially important levels of running economy impairment, but the relationship between changes in body mass and RE are complex, particularly in regards to sex.

Hispanic/Latino heritage group disparities in sleep and the sleep-cardiovascular health relationship by housing tenure status in the United States.

OBJECTIVES: The objective of this study was to investigate whether the sleep-cardiovascular health (CVH) association varies by Hispanic/Latino heritage group and housing tenure status (i.e., homeownership, unassisted housing, government-assisted housing), which is an important social determinant of health. DESIGN: Cross-sectional analysis of pooled National Health Interview Survey (2004-2017) data. SETTING: United States. PARTICIPANTS: US-born/non-US-born Mexican, Puerto Rican, Cuban, Dominican, Central/South American, and US-born non-Hispanic (NH)-white adults. MEASUREMENTS: Within each housing tenure category, Poisson regressions with robust variance estimated the adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) of (1) habitual sleep duration (<6-hours, 6-<7-hours, and >9-hours vs. 7-9 hours) and sleep quality for Hispanic/Latino heritage groups compared with NH-whites and (2) ideal CVH for Hispanic/Latino heritage groups within each sleep duration category, separately, compared with NH-whites who reported 7-9 hours sleep duration. RESULTS: Among 283,767 NH-white and Hispanic/Latino adults (mean age=47.0±0.09 years, 50.1% female), 33% rented housing (4% government-assisted; 29% unassisted), and 67% were homeowners. Compared with their NH-white housing tenure counterparts, only Puerto Rican homeowners were more likely to report <6-hours (PR=1.70 [95% CI: 1.44-2.01]) and 6-<7-hours (PR=1.31 [1.19-1.44]) sleep duration. Overall, Hispanic/Latino heritage groups were either less likely or no more likely to report >9-hours sleep duration and poor sleep quality compared with NH-whites. Disparities in CVH were large between Puerto Rican unassisted renters and homeowners who reported >9-hours of habitual sleep compared with their NH-white housing tenure counterparts who reported 7-9 hours. CONCLUSIONS: Hispanic/Latino-white disparities in the sleep-CVH relationship may vary by Hispanic/Latino heritage group and housing tenure.

Ethnoracial sleep disparities among college students living in dormitories in the United States: a nationally representative study.

OBJECTIVES: Ethnoracial disparities in sleep health across the lifecourse, may underlie other disparities in health and well-being among adults in the United States (U.S.). We evaluated if socioenvironmental stressors, which likely differ by the race/ethnicity of college students, may contribute to sleep disparities in this demographic group. DESIGN/MEASUREMENTS: National Health Interview Survey data pooled from 2004 to 2017 were used to test the hypothesis that ethnoracial disparities in sleep exist among college students residing in dormitories in the U.S. SETTING: Nationally representative survey data. PARTICIPANTS: A total of 2,119 college students residing in dormitories (71% White, 16% Black/African-American, 7% Hispanic/Latino, and 6% Asian) participated in the study. RESULTS: The prevalence of short sleep duration was higher among Black/African-Americans than among White students, but not among Hispanics/Latinos and Asians, after adjusting for age, gender, and region of residence. In fully adjusted models, Black/African-Americans, although no longer statistically significant after adjustments, were more likely to report short sleep duration compared with White students (adjusted prevalence ratio; [aPR] = 1.30, 95% confidence interval [CI]: 0.98-1.71). The prevalence of separate insomnia symptoms did not differ by ethnoracial group in adjusted models. Only Asian students had a higher prevalence (aPR = 1.40, 95% CI: 1.12-1.75) of nonrestorative sleep than White students. CONCLUSION: Black/African-American but not Hispanic/Latino or Asian college students were more likely to report short sleep duration than Whites. Insomnia symptoms did not differ between groups, while Asians experienced more nonrestorative sleep. Future studies should investigate the socioenvironmental causes of disparities using longitudinal designs, larger sample sizes, better socioeconomic status (SES) indicators, and objective sleep measures.

Sleep and cardiometabolic health by government-assisted rental housing status among Black and White men and women in the United States.

OBJECTIVES: To investigate Black-White disparities in suboptimal sleep and cardiometabolic health by government-assisted rental housing status. DESIGN: National Health Interview Survey (NHIS) pooled cross-sectional data (2004-2016). SETTING: United States. PARTICIPANTS: Black and White adult participants (n = 80,880). MEASUREMENTS: Poisson regression with robust variance was used to estimate prevalence ratios (PRs) and 95% confidence intervals for self-reported unrecommended (<6 hours), short (≤6-<7 hours), and long (>9 hours) sleep duration (each separately vs recommended (≤7-9 hours)) and sleep difficulties (eg, trouble falling/staying asleep ≥3 days/week) (yes vs no) among Blacks compared to Whites within rental housing categories (government-assisted vs unassisted), separately, for men and women. Within sex/housing categories, we applied the same approach to compare cardiometabolic health outcomes (ie, overweight/obesity, hypertension, diabetes, heart disease, stroke) between Blacks with worse sleep and Whites with recommended sleep. Models were adjusted for age and other potential confounders. RESULTS: Participants' mean age was 42 ±â€¯18 years, 57% were female, and 30% Black. Blacks in unassisted housing had a higher prevalence of unrecommended and short sleep (PR = 1.22 [1.15-1.30] -men, PR = 1.14 [1.08-1.21] -women) compared to their White counterparts (phousing⁎race = 0.001 -men, phousing⁎race = 0.008 -women), but no Black-White differences (PR = 0.88 [0.73-1.07] -men, PR = 0.98 [0.89-1.09] -women) were observed among government-assisted renters. Generally, Blacks were less likely to report sleep difficulties than Whites. Cardiometabolic health disparities between Blacks with worse sleep and Whites with recommended sleep were generally smaller among government-assisted renters, but relationships varied by sex. CONCLUSIONS: There were no racial disparities in short sleep duration, and cardiometabolic health disparities were generally attenuated when Blacks and Whites resided in government-assisted rental housing.

Assessing and managing pain and major depression with medical comorbidities.

Chronic pain is the leading reason patients see their primary care physician, and the burden of pain and depression in those with medical illness is particularly severe. Improving depressive symptoms can decrease physical symptoms in many patients, but these patients may require a different treatment strategy than those with depression alone. This activity provides guidance on recognizing and accurately diagnosing pain and major depression, managing these conditions using assessment tools and measurement-based care, avoiding unwanted side effects and drug interactions, and properly matching patients to appropriate treatments.

Simple visual parameters for objective assessment of arthroscopic skill.

BACKGROUND: Restrictions placed on the working hours of doctors over the past decade have resulted in substantial changes to the training and assessment of orthopaedic surgical residents. Many who are responsible for training the surgeons of the future have become concerned that this reduced clinical exposure is having a detrimental impact on technical skill acquisition. Consequently, there is a need for surgical educators to develop more objective methods for assessing surgical skill. The primary aim of this study was to determine whether a novel set of visual parameters assessing visuospatial ability, fine motor dexterity, and gaze control could objectively discriminate among various levels of arthroscopic experience. The secondary aim was to evaluate the correlations between these new parameters and previously established technical skill assessment methods. METHODS: Twenty-seven subjects were divided into a novice group (n = 7), a resident group (n = 15), and an expert group (n = 5) on the basis of arthroscopic experience. All subjects performed a diagnostic knee arthroscopy task on a simulator. Their performance was assessed with use of novel simple visual parameters that included the prevalence of instrument loss, triangulation time, and prevalence of lookdowns. Performance was also evaluated with use of previously validated technical skill assessment methods (a global rating scale and motion analysis). RESULTS: A significant difference in performance among the groups was demonstrated with use of all three novel visual parameters, the global rating scale, and motion analysis (p < 0.05). There were strong and highly significant correlations (p < 0.0001) between each of the novel parameters and the previously validated skill assessment methods. CONCLUSIONS: This study demonstrates the construct validity of three novel visual parameters for objectively assessing arthroscopic performance. These parameters are simple, can be used easily in the operating room, and are strongly correlated with current validated methods of technical skill assessment.

Helicobacter pylori eradication in long-term proton pump inhibitor users is highly cost-effective: economic analysis of the HELPUP trial.

BACKGROUND: Proton pump inhibitor (PPI) use is costly and about two-thirds of prescribing is long-term. Although 20-50% of patients may be infected with Helicobacter pylori, eradication is not normal clinical practice. AIM: To establish if H. pylori eradication in long-term PPI users is cost-effective. METHODS: Long-term PPI-using patients (n = 183) testing positive for H. pylori were randomly assigned to true or placebo eradication therapy. Patients provided 2-year resource data, and 1-year symptom severity scores. A within-trial cost effectiveness analysis was conducted from a British health service perspective. RESULTS: Significant reductions in resource use occurred comparing eradication with placebo. After 2 years, PPI prescriptions (full-dose equivalents) fell by 3.9 (P < 0.0001); clinician (GP) consultations by 2.4 (P = 0.0001); upper gastrointestinal (GI) endoscopies by 14.8% (P = 0.008); clinician GI-related home visits by 19.9% (P = 0.005) and abdominal ultrasound scans fell by 20.3% (P = 0.005). Average net savings/patient were pound93 (95% CI: 33-153) after costs of detection and eradication had been deducted. At 1 year, Leeds Dyspepsia Questionnaire symptoms fell by 3.1 (P = 0.005) and quality-of-life measures improved (EuroQol-5D: 0.089, P = 0.08; visual analogue scale: 5.6, P = 0.002) favouring eradication. CONCLUSION: Helicobacter pylori eradication in infected, long-term PPI users is an economically dominant strategy, significantly reducing overall healthcare costs and symptom severity.