Search

Background: Physical activity can improve physical health for people living with mild cognitive impairment (MCI) and dementia and may have cognitive benefits. Identifying modifiable social factors inhibiting physical activity among this group is needed. We sought to examine the relationship between reported physical activity levels and social determinants of health (SDOH) in a population of older adults living with MCI or dementia., Methods: This descriptive study included people with a diagnosis of MCI or dementia followed by Community Internal Medicine at Mayo Clinic (Rochester, Minnesota, United States), aged over 55 years, who had a clinic visit between June 1, 2019 and June 30, 2021 and had completed a SDOH questionnaire. We focused on 8 SDOH domains: education, depression, alcohol use, stress, financial resource strain, social connections, food insecurity, and transportation needs. Data were analyzed based on physical activity level (inactive, insufficiently active, sufficiently active). SDOH domains were compared according to physical activity level using the χ2 test and multinomial logistic regression., Results: A total of 3224 persons with MCI (n = 1371) or dementia (n = 1853) who had completed questions on physical activity were included. Of these, 1936 (60%) were characterized as physically inactive and 837 (26%) insufficiently active. Characteristics associated with an increased likelihood of physical inactivity were older age, female sex, obesity, lower education, dementia diagnosis, screening positive for depression and increased social isolation (p < 0.001)., Conclusions: Physical inactivity is common among people living with MCI and dementia. Physical activity levels may be influenced by many factors, highlighting potential areas for intervention., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests. The data was presented as an abstract at the Alzheimer's Association International Conference, Amsterdam, July 16–20, 2023., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: To examine associations of cumulative exposure to proton pump inhibitors (PPIs) with total cardiovascular disease (CVD; composed of stroke, coronary heart disease, and heart failure [HF]) and HF alone in a cohort study of White and African American participants of the Atherosclerosis Risk in Communities (ARIC) study., Methods: Use of PPIs was assessed by pill bottle inspection at visit 1 (January 1, 1987 to 1989) and up to 10 additional times before baseline (visit 5; 2011 to 2013). We calculated cumulative exposure to PPIs as days of use from visit 1 to baseline. Participants (n=4346 free of total CVD at visit 5; mean age, 75 years) were observed for incident total CVD and HF events through December 31, 2016. We used Cox regression to measure associations of PPIs with total CVD and HF., Results: After adjustment for potential confounding variables, participants with a cumulative exposure to PPIs of more than 5.1 years had a 2.02-fold higher risk of total CVD (95% CI, 1.50 to 2.72) and a 2.21-fold higher risk of HF (95% CI, 1.51 to 3.23) than nonusers., Conclusion: Long-term PPI use was associated with twice the risk of total CVD and HF compared with nonusers. Our findings are in concordance with other research and suggest another reason to be cautious of PPI overuse., (Copyright © 2021 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Objective: To assess the validity of the US Department of Health and Human Services (DHHS) definition of multimorbidity using International Classification of Diseases, ninth edition (ICD-9) codes from administrative data., Design: Cross-sectional comparison of two ICD-9 billing code algorithms to data abstracted from medical records., Setting: Olmsted County, Minnesota, USA., Participants: An age-stratified and sex-stratified random sample of 1509 persons ages 40-84 years old residing in Olmsted County on 31 December 2010., Study Measures: Seventeen chronic conditions identified by the US DHHS as important in studies of multimorbidity were identified through medical record review of each participant between 2006 and 2010. ICD-9 administrative billing codes corresponding to the 17 conditions were extracted using the Rochester Epidemiology Project records-linkage system. Persons were classified as having each condition using two algorithms: at least one code or at least two codes separated by more than 30 days. We compared the ICD-9 code algorithms with the diagnoses obtained through medical record review to identify persons with multimorbidity (defined as ≥2, ≥3 or ≥4 chronic conditions)., Results: Use of a single code to define each of the 17 chronic conditions resulted in sensitivity and positive predictive values (PPV) ≥70%, and in specificity and negative predictive values (NPV) ≥70% for identifying multimorbidity in the overall study population. PPV and sensitivity were highest in persons 65-84 years of age, whereas NPV and specificity were highest in persons 40-64 years. The results varied by condition, and by age and sex. The use of at least two codes reduced sensitivity, but increased specificity., Conclusions: The use of a single code to identify each of the 17 chronic conditions may be a simple and valid method to identify persons who meet the DHHS definition of multimorbidity in populations with similar demographic, socioeconomic, and health care characteristics., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: To describe the percentile distribution of multimorbidity across age by sex, race and ethnicity, and to demonstrate the utility of multimorbidity percentiles to predict mortality., Design: Population-based descriptive study and cohort study., Setting: Olmsted County, Minnesota (USA)., Participants: We used the medical records-linkage system of the Rochester Epidemiology Project (REP; http://www.rochesterproject.org) to identify all residents of Olmsted County, Minnesota who reached one or more birthdays between 1 January 2005 and 31 December 2014 (10 years)., Methods: For each person, we obtained the count of chronic conditions (out of 20 conditions) present on each birthday by extracting all of the diagnostic codes received in the 5 years before the index birthday from the electronic indexes of the REP. To compare each person's count to peers of same age, the counts were transformed into percentiles of the total population and displayed graphically across age by sex, race and ethnicity. In addition, quintiles 1, 2, 4 and 5 were compared with quintile 3 (reference) to predict the risk of death at 1 year, 5 years and through end of follow-up using time-to-event analyses. Follow-up was passive using the REP., Results: We identified 238 010 persons who experienced a total of 1 458 094 birthdays during the study period (median of 6 birthdays per person; IQR 3-10). The percentiles of multimorbidity across age did not vary noticeably by sex, race or ethnicity. In general, there was an increased risk of mortality at 1 and 5 years for quintiles 4 and 5 of multimorbidity. The risk of mortality for quintile 5 was greater for younger age groups and for women., Conclusions: The assignment of multimorbidity percentiles to persons in a population may be a simple and intuitive tool to assess relative health status, and to predict short-term mortality, especially in younger persons and in women., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Oral anticoagulant (OAC) therapy has been the main treatment approach for stroke prevention for decades. Warfarin is the most widely prescribed OAC in the United States, but is difficult to manage due to variability in dose requirements across individuals. Pharmacogenomics may mitigate risk concerns related to warfarin use by fostering the opportunity to facilitate individualized medicine approaches to warfarin treatment (e.g., genome-guided dosing). While various economic evaluations exist examining the cost-effectiveness of pharmacogenomics testing for warfarin, few observational studies exist to support these studies, with even fewer using genotype as the main exposure of interest. We examined a cohort of individuals initiating warfarin therapy between 2004 and 2017 and examined bleeding and cost outcomes for the year following initiation using Mayo Clinic's billing and administrative data, as well the Mayo Clinic Rochester Cost Data Warehouse. Analyses included descriptive summaries, comparison of characteristics across exposure groups, reporting of crude outcomes, and multivariate analyses. We included N = 1,143 patients for analyses. Just over a third of our study population (34.9%) carried a warfarin-sensitive phenotype. Sensitive individuals differed in their baseline characteristics by being of older age and having a higher number of comorbid conditions; myocardial infarction, diabetes, and cancer in particular. The occurrence of bleeding events was not significantly different across exposure groups. No significant differences across exposure groups existed in either the likelihood of incurring all-cause healthcare costs or in the magnitude of those costs. Warfarin-sensitive individuals were no more likely to utilize cardiovascular-related healthcare services; however, they had lower total and inpatient cardiovascular-related costs compared to warfarin-insensitive patients. No significant differences existed in any other categories of costs. We found limited evidence that warfarin-sensitive individuals have different healthcare spending than warfarin-insensitive individuals. Additional real-world studies are needed to support the traditional economic evaluations currently existing in the literature., Competing Interests: Drs. Weinshilboum and Wang are co-founders of and stockholders in OneOme, LLC, a pharmacogenomics decisions support company. All other authors have declared that no competing interests exist. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Purpose: The Mayo Clinic Biobank was established to provide a large group of patients from which comparison groups (ie, controls) could be selected for case-control studies, to create a prospective cohort with sufficient power for common outcomes and to support electronic health record (EHR) studies., Participants: A total of 56 862 participants enrolled (21% response rate) into the Mayo Clinic Biobank from Rochester, Minnesota (77%, n=43 836), Jacksonville, Florida (18%, n=10 368) and La Crosse, Wisconsin (5%, n=2658). Participants were all Mayo Clinic patients, 18 years of age or older and US residents., Findings to Date: Overall, 43% of participants were 65 years of age or older and female participants were more frequent (59%) than males at all sites. Most participants resided in the Upper Midwest regions of the USA (Minnesota, Iowa, Illinois or Wisconsin), Florida or Georgia. Self-reported race among Biobank participants was 90% white. Here we provide examples of the types of studies that have successfully utilised the resource, including (1) investigations of the population itself, (2) provision of controls for case-control studies, (3) genotype-driven research, (4) EHR-based research and (5) prospective recruitment to other studies. Over 270 projects have been approved to date to access Biobank data and/or samples; over 200 000 sample aliquots have been approved for distribution., Future Plans: The data and samples in the Mayo Clinic Biobank can be used for various types of epidemiological and clinical studies, especially in the setting of case-control studies for which the Biobank samples serve as control samples. We are planning cohort studies with additional follow-up and acquisition of genetic information on a large scale., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives: To characterize early adoption of a novel multitarget stool DNA (MT-sDNA) screening test for colorectal cancer (CRC) screening and to test the hypothesis that adoption differs by demographic characteristics and prior CRC screening behavior and proceeds predictably over time., Patients and Methods: We used the Rochester Epidemiology Project research infrastructure to assess the use of the MT-sDNA screening test in adults aged 50 to 75 years living in Olmsted County, Minnesota, in 2014 and identified 27,147 individuals eligible or due for screening colonoscopy from November 1, 2014, through November 30, 2015. We used electronic Current Procedure Terminology and Health Care Common Procedure codes to evaluate early adoption of the MT-sDNA screening test in this population and to test whether early adoption varies by age, sex, race, and prior CRC screening behavior., Results: Overall, 2193 (8.1%) and 974 (3.6%) individuals were screened by colonoscopy and MT-sDNA, respectively. Age, sex, race, and prior CRC screening behavior were significantly and independently associated with MT-sDNA screening use compared with colonoscopy use after adjustment for all other variables (P<.05 for all). The rates of adoption of MT-sDNA screening increased over time and were highest in those aged 50 to 54 years, women, whites, and those who had a history of screening. The use of the MT-sDNA screening test varied predictably by insurance coverage. The rates of colonoscopy decreased over time, whereas overall CRC screening rates remained steady., Conclusion: The results of the present study are generally consistent with predictions derived from prior research and the diffusion of innovation framework, pointing to increasing use of the new screening test over time and early adoption by younger patients, women, whites, and those with prior CRC screening., (Copyright © 2017 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Background: Limited English proficiency is associated with health disparities and suboptimal health outcomes. Although Limited English proficiency is a barrier to effective health care, its association with inpatient health care utilization is unclear. The aim of this study was to examine the association between patients with limited English proficiency, and emergency department visits and hospital admissions., Methods: We compared emergency department visits and hospitalizations in 2012 between patients requiring interpreter services and age-matched English-proficient patients (who did not require interpreters), in a retrospective cohort study of adult patients actively empanelled to a large primary health care network in a medium-sized United States city (n = 3,784)., Results: Patients who required interpreter services had significantly more Emergency Department visits (841 vs 620; P ≤ .001) and hospitalizations (408 vs 343; P ≤ .001) than patients who did not require interpreter services. On regression analysis the risk of a first Emergency Department visit was 60% higher for patients requiring interpreter services than those who did not (unadjusted hazard ratio [HR], 1.6; 95% confidence interval (CI), 1.4-1.9; P < .05), while that of a first hospitalization was 50% higher (unadjusted HR, 1.5; 95% CI, 1.2-1.8; P < .05). These findings remained significant after adjusting for age, sex, medical complexity, residency and outpatient health care utilization., Conclusions: Patients who required interpreter services had higher rates of inpatient health care utilization compared with patients who did not require an interpreter. Further research is required to understand factors associated with this utilization and to develop sociolinguistically tailored interventions to facilitate appropriate health care provision for this population.

Objective: We assessed changes in adherence to screening mammography recommendations with the introduction of the new U.S. Preventive Services Task Force (USPSTF) recommendations in 2009., Methods: Using the Rochester Epidemiology Project data linkage system, we examined mammography screening from 2004 to 2013 in 31,377 women 40years of age and older residing in Olmsted County, MN before and after the 2009 change in recommendations. Chi-square was used to compare screening rates before and after changes in recommendations overall, by age group, and by baseline adherence., Results: Among women 40 years and older, declines in screening were observed: 69% of the population was adherent in 2004-2005, 61% in 2006-2009 and 53% in 2010-2013. Absolute decreases in screening were observed from pre- to post-change for those ages 40-49 (4%), 50-74 (9%), and those 75+ (19%, all p<0.0001). Relative declines in screening rates were observed among women aged 70-74 years who were non-adherent at baseline and among women who were adherent at baseline, overall, and in each age group (all p<.001)., Conclusions: Declines in screening, both absolute and relative, were most pronounced among women who were adherent at baseline. Research is needed to assess factors that influence screening in the context of evolving recommendations., (Copyright © 2014. Published by Elsevier Inc.)

The aim of this work was to study time trends of antidepressant drug (AD) prescriptions in a geographically defined US population between 2005 and 2011 for men and women separately. Using the Rochester Epidemiology Project medical records-linkage system, we identified all Olmsted County, MN residents who received AD outpatient prescriptions between 2005 and 2011 (7 years). We calculated the annual age- and sex-specific prevalence over 7 years and used generalized estimating equation models to test for time trends. The prevalence of subjects receiving at least one AD prescription was approximately two times higher in women than in men consistently across the 7 years of the study. The standardized annual prevalence increased from 10.8 % in 2005 to 14.4 % in 2011 overall, from 7.0 % in 2005 to 9.9 % in 2011 for men, and from 14.4 % in 2005 to 18.6 % in 2011 for women. The absolute percent increase was greater in women (4.2 vs. 2.9 %; standardized); however, the relative percent increase was greater in men (41.4 vs. 29.2 %; standardized). The relative percent increase was greater in the age group 65+ years for both men and women. AD prescriptions are increasing over time, especially in the elderly. Women receive more AD prescriptions than men. However, the relative increase in AD prescriptions over time is greater in men than women.

Objective: To describe the age and sex patterns of drug prescribing in Olmsted County, Minnesota., Patients and Methods: Population-based drug prescription records for the Olmsted County population in 2009 were obtained using the Rochester Epidemiology Project medical records linkage system (n=142,377). Drug prescriptions were classified using RxNorm codes and were grouped using the National Drug File-Reference Terminology., Results: Overall, 68.1% of the population (n=96,953) received a prescription from at least 1 drug group, 51.6% (n=73,501) received prescriptions from 2 or more groups, and 21.2% (n=30,218) received prescriptions from 5 or more groups. The most commonly prescribed drug groups in the entire population were penicillins and β-lactam antimicrobials (17%; n=23,734), antidepressants (13%; n=18,028), opioid analgesics (12%; n=16,954), antilipemic agents (11%; n=16,082), and vaccines/toxoids (11%; n=15,918). However, prescribing patterns differed by age and sex. Vaccines/toxoids, penicillins and β-lactam antimicrobials, and antiasthmatic drugs were most commonly prescribed in persons younger than 19 years. Antidepressants and opioid analgesics were most commonly prescribed in young and middle-aged adults. Cardiovascular drugs were most commonly prescribed in older adults. Women received more prescriptions than men for several drug groups, in particular for antidepressants. For several drug groups, use increased with advancing age., Conclusion: This study provides valuable baseline information for future studies of drug utilization and drug-related outcomes in this population., (Copyright © 2013 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Objective: To describe the prevalence of nonacute conditions among patients seeking health care in a defined US population, emphasizing age, sex, and ethnic differences., Patients and Methods: The Rochester Epidemiology Project (REP) medical records linkage system was used to identify all residents of Olmsted County, Minnesota, on April 1, 2009, who had consented to review of their medical records for research (142,377 patients). We then electronically extracted all International Classification of Diseases, Ninth Revision codes noted in the records of these patients by any health care institution between January 1, 2005, and December 31, 2009. We grouped International Classification of Diseases, Ninth Revision codes into clinical classification codes and then into 47 broader disease groups associated with health-related quality of life. Age- and sex-specific prevalence was estimated by dividing the number of individuals within each group by the corresponding age- and sex-specific population. Patients within a group who had multiple codes were counted only once., Results: We included a total of 142,377 patients, 75,512 (53%) of whom were female. Skin disorders (42.7%), osteoarthritis and joint disorders (33.6%), back problems (23.9%), disorders of lipid metabolism (22.4%), and upper respiratory tract disease (22.1%, excluding asthma) were the most prevalent disease groups in this population. Ten of the 15 most prevalent disease groups were more common in women in almost all age groups, whereas disorders of lipid metabolism, hypertension, and diabetes were more common in men. Additionally, the prevalence of 7 of the 10 most common groups increased with advancing age. Prevalence also varied across ethnic groups (whites, blacks, and Asians)., Conclusion: Our findings suggest areas for focused research that may lead to better health care delivery and improved population health., (Copyright © 2013 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Objective: To illustrate the problem of generalizability of epidemiological findings derived from a single population using data from the Rochester Epidemiology Project and from the US Census., Methods: We compared the characteristics of the Olmsted County, Minnesota, population with the characteristics of populations residing in the state of Minnesota, the Upper Midwest, and the entire United States., Results: Age, sex, and ethnic characteristics of Olmsted County were similar to those of the state of Minnesota and the Upper Midwest from 1970 to 2000. However, Olmsted County was less ethnically diverse than the entire US population (90.3% vs 75.1% white), more highly educated (91.1% vs 80.4% high school graduates), and wealthier ($51,316 vs $41,994 median household income; 2000 US Census data). Age- and sex-specific mortality rates were similar for Olmsted County, the state of Minnesota, and the entire United States., Conclusion: We provide an example of analyses and comparisons that may guide the generalization of epidemiological findings from a single population to other populations or to the entire United States., (Copyright © 2012 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Objective: To conduct a study to determine whether diabetes treatment is associated with benign prostatic hyperplasia (BPH)/lower urinary tract symptoms (LUTS) and progression in black and white men. Diabetes has been associated with BPH and LUTS in aging men., Methods: Using the Olmsted County Study of Urinary Symptoms and Health Status among Men and the Flint Men's Health Study, we examined how the use of medical therapy (eg, insulin regimens, oral hypoglycemics) related to changes in LUTS severity, maximal urinary flow rate measured by uroflowmetry, prostate volume determined by transrectal ultrasonography, and serum prostate-specific antigen concentrations., Results: Of the 2226 men participating in the Olmsted County Study of Urinary Symptoms and Health Status among Men and the Flint Men's Health Study, 186 men reported a history of diabetes, 76.9% of whom were treated with medical therapy. Overall, the men with diabetes had significantly greater odds of moderate/severe LUTS (age- and race-adjusted odds ratio 1.37, 95% confidence interval 1.00-1.87) compared with those without diabetes. However, among the diabetic men, those not taking medication had greater odds of moderate/severe LUTS than those taking medication. This association among men not taking medication was seen for 5 of the 7 individual symptoms. The prostate volume and prostate-specific antigen level were not significantly associated with diabetes treatment. No significant differences were observed for the annual change in BPH characteristics by diabetes treatment status., Conclusion: These findings suggest that the presence of diabetes and subsequent poor glycemic control might be less related to prostate growth and more to the dynamic components of lower urinary tract function. Additional evaluations of the associations between glycemic control and BPH progression are warranted., (Copyright © 2012 Elsevier Inc. All rights reserved.)

We conducted a genome-wide SNP association study on prostate cancer on over 23,000 Icelanders, followed by a replication study including over 15,500 individuals from Europe and the United States. Two newly identified variants were shown to be associated with prostate cancer: rs5945572 on Xp11.22 and rs721048 on 2p15 (odds ratios (OR) = 1.23 and 1.15; P = 3.9 x 10(-13) and 7.7 x 10(-9), respectively). The 2p15 variant shows a significantly stronger association with more aggressive, rather than less aggressive, forms of the disease.