Trends in seasonal pollen and asthma-related morbidity among adults and children in a U.S. high-density urban center, 2001-2020.

OBJECTIVE: To analyze the long-term trends in pollen counts and asthma-related emergency department visits (AREDV) in adult and pediatric populations in the Bronx. METHODS: Daily values of adult and pediatric AREDV were retrospectively obtained from three major Bronx hospitals using ICD-10 codes and pollen counts were obtained from the Armonk station from 2001-2020. Wilcoxon Ranked Sum was applied to compare median values, while Spearman correlation was employed to examine the association between these variables, for both decades and each season. RESULTS: The median value of pediatric AREDV increased by 200% from the 1st to 2nd decade (p < 0.001) and AREDV peak shifted from predominantly the spring season in the 1st decade to the fall and winter seasons in the 2nd decade. Seasonal patterns were consistent over 20 years with summer AREDV lower than all other seasons (9 vs. 17 per day) (p < 0.001). Spring tree pollen peaks were correlated with AREDV peaks (rho = 0.34) (p < 0.001). Tree pollen exceeding 100 grains/m3 corresponded to a median of 19.0 AREDVs while all other tree pollen (0 - 99 grains/m3) corresponded to a median of 15.0 AREDVs (p < 0.001). AREDVs sharply declined in 2020, coinciding with the emergence of COVID-19. CONCLUSIONS: Pollen and AREDVs peak earlier in the spring and are more strongly interconnected, while asthma rates among children are rapidly rising, particularly in the fall and winter. These findings can advise targeted awareness campaigns for better management of asthma related morbidity.

Low Amount and Intensity of Leisure-time Physical Activity in Asian Indian Adults.

PURPOSE: We sought to describe leisure-time, aerobic, and muscle strengthening physical activity (PA) patterns in U.S. Asian Indians, in comparison to other races/ethnicities. DESIGN, SETTING, AND SAMPLE: We utilized the 2011-2018 National Health Interview Surveys, a set of cross-sectional, nationally representative surveys of the U.S. noninstitutionalized population. Our study population included 257 652 adults who answered PA questions. MEASURES: PA was classified per 2008 U.S. guidelines and continuously per estimated metabolic equivalents (METs). Race was classified into White, Black, Asian Indian, Other Asian, and American Indian/Alaskan Native/Multiracial. ANALYSIS: We used survey design-adjusted, multivariable logistic regression to determine odds of sufficient and highly active physical activity levels, adjusting for predisposing, enabling, need, and health care service factors as guided by the Anderson Model. We also used linear regression to determine racial differences in average MET-minutes/week. Analysis was additionally stratified by comorbidity status. RESULTS: While Asian Indians (N = 3049) demonstrated similar odds of sufficient aerobic PA as Whites (aOR [95% CI]: .97 [.88,1.07]), Asian Indians had 22% lower odds of meeting highly active aerobic PA levels (.78 [.71,0.87]) and 18% lower odds of meeting sufficient muscle strengthening PA levels (.82 [.73,0.91]). This translated to an average 172 (95% CI: 45 300) fewer MET-minutes. Furthermore, this decrease in MET-minutes/week was especially apparent in those without hypertension (ß[95% CI]: -164 [-314,-15]) without diabetes (-185 [-319,-52]), and low/normal BMI (-422 [-623,-222]). CONCLUSION: Asian Indians, especially those without comorbidities, are less likely to engage in high-intensity physical activity than Whites.

Impact of Technology-Based Interventions on Patient-Reported Outcomes in Asthma: A Systematic Review.

BACKGROUND: Technology-based interventions (TBIs) can improve asthma management by facilitating patient education, symptom monitoring, environmental trigger control, comorbid condition management, and medication adherence. Collecting patient-reported outcomes (PROs) can identify effective interventions and ensure patient-centered care, but it is unclear which TBIs have been formally evaluated using PROs. OBJECTIVES: We aim to: (1) identify the TBIs that have been evaluated in clinical trials using PROs; (2) identify the most commonly used PROs in these trials; and (3) determine the impact of TBIs on PROs in the management of chronic asthma. METHODS: We searched the PubMed and Clinicaltrials.gov databases for studies published in English between January 2000 and February 2020 using the following search criteria: "asthma," "IT-based interventions," "information technology," "technology," "dyspnea," "patient reported outcomes," "PROs," "telehealth," "telemedicine," and "mobile devices." Two independent reviewers screened the studies and determined study inclusion. Studies were examined for the types of interventions used, the types of PROs collected, and outcomes. RESULTS: The final analysis included 14 clinical trials with either 1, 2, or 3 arms. Five different types of TBIs were identified, most commonly involving multimedia education. Four different categories of PROs were identified, most commonly involving treatment self-efficacy. Positive outcomes in at least 1 PRO domain were reported in 12 of 14 studies. Pooled meta-analysis was not possible due to the heterogeneity of PRO instruments across studies. CONCLUSION: TBIs improve PROs overall in patients with asthma. Future trials investigating TBIs should include standardized PROs as endpoints to better clarify this relationship.