Associations of role, area deprivation index, and race with health behaviors and body mass index among localized prostate cancer patients and their partners.

PURPOSE: To examine the associations of role (localized prostate cancer (PCa) patient vs. their intimate partner), area deprivation index (ADI-higher scores indicating higher neighborhood deprivation levels), and race (Black/African American (AA) vs. White) with health behaviors and body mass index (BMI) among PCa patients and partners. The behaviors include smoking, alcohol consumption, diet quality, sedentary behaviors, and physical activity (PA). METHODS: This study used the baseline data collected in a clinical trial. Given the nested structure of the dyadic data, multi-level models were used. RESULTS: Significant role-race interaction effects on smoking, ADI-race effects on alcohol consumption, and role-ADI effects on BMI were found. Meanwhile, patients smoked more cigarettes, decreased alcohol consumption, had less healthful diets, spent longer time watching TV, did fewer sedentary hobbies, had more confidence in PA, and had higher BMIs than their partners. High ADI was independently associated with lower odds of drinking alcohol, using computer/Internet, and doing non-walking PA, and higher BMI compared to low ADI controlling for role and race. Black/AA dyads had less smoking amount and alcohol consumption and higher sedentary time and BMI than White dyads when adjusted for role and ADI. CONCLUSIONS: This study identified significant interaction and main effects of role, ADI, or race on health behaviors and BMI. IMPLICATIONS FOR CANCER SURVIVORS: Future behavioral interventions should address divergent individual needs between patients and partners, social and neighborhood barriers, and cultural indicators of racial groups to promote healthful behaviors and improve the quality of survivorship for PCa patients and partners.

Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists.

OBJECTIVE: To assess urologist attitudes toward clinical decision support (CDS) embedded into the electronic health record (EHR) and define design needs to facilitate implementation and impact. With recent advances in big data and artificial intelligence (AI), enthusiasm for personalized, data-driven tools to improve surgical decision-making has grown, but the impact of current tools remains limited. METHODS: A sequential explanatory mixed methods study from 2019 to 2020 was performed. First, survey responses from the 2019 American Urological Association Annual Census evaluated attitudes toward an automatic CDS tool that would display risk/benefit data. This was followed by the purposeful sampling of 25 urologists and qualitative interviews assessing perspectives on CDS impact and design needs. Bivariable, multivariable, and coding-based thematic analysis were applied and integrated. RESULTS: Among a weighted sample of 12,366 practicing urologists, the majority agreed CDS would help decision-making (70.9%, 95% CI 68.7%-73.2%), aid patient counseling (78.5%, 95% CI 76.5%-80.5%), save time (58.1%, 95% CI 55.7%-60.5%), and improve patient outcomes (42.9%, 95% CI 40.5%-45.4%). More years in practice was negatively associated with agreement (P <.001). Urologists described how CDS could bolster evidence-based care, personalized medicine, resource utilization, and patient experience. They also identified multiple implementation barriers and provided suggestions on form, functionality, and visual design to improve usefulness and ease of use. CONCLUSION: Urologists have favorable attitudes toward the potential for clinical decision support in the EHR. Smart design will be critical to ensure effective implementation and impact.

Detection of Testicular Metastasis from Renal Cell Carcinoma on PSMA-PET Scan.

The use of prostate-specific membrane antigen-positron emission tomography (PSMA-PET) is becoming more widespread for the diagnosis and management of prostate cancer. Here we report a case of oligometastatic renal cell carcinoma (RCC) to the testes diagnosed incidentally on PSMA-PET imaging. This case demonstrates the potential for diagnosis of nonprostate disease with PSMA-PET imaging, as well as the promising nature of PSMA-PET for the diagnosis and surveillance of RCC. In addition, this case report discusses the rare occurrence of oligometastatic RCC to the testis.

Continent-wide parallel urban evolution of increased heat tolerance in a common moth.

Urbanization and its urban-heat-island effect (UHI) have expanding footprints worldwide. The UHI means that urban habitats experience a higher mean and more frequent extreme high temperatures than rural habitats, impacting the ontogeny and resilience of urban biodiversity. However, many organisms occupy different microhabitats during different life stages and thus may experience the UHI differently across their development. While evolutionary changes in heat tolerance in line with the UHI have been demonstrated, it is unknown whether such evolutionary responses can vary across development. Here, using common-garden-reared Chiasmia clathrata moths from urban and rural populations from three European countries, we tested for urban evolution of heat shock tolerance in two life stages: larvae and adults. Our results indicate widespread urban evolution of increased heat tolerance in the adult stage only, suggesting that the UHI may be a stronger selective agent in adults. We also found that the difference in heat tolerance between urban and rural populations was similar to the difference between Mid- and North-European regions, suggesting similarity between adaptation to the UHI and natural, latitudinal temperature variation. Our observations incentivize further research to quantify the impact of these UHI adaptations on fitness during urbanization and climate change, and to check whether life-stage-specific adaptations in heat tolerance are typical of other ectothermic species that manage to survive in urbanized settings.

Geriatric assessment-derived deficit accumulation and patient-reported treatment burden in older adults with bladder cancer.

BACKGROUND: When a person's workload of healthcare exceeds their resources, they experience treatment burden. At the intersection of cancer and aging, little is known about treatment burden. We evaluated the association between a geriatric assessment-derived Deficit Accumulation Index (DAI) and patient-reported treatment burden in older adults with early-stage, non-muscle-invasive bladder cancer (NMIBC). METHODS: We conducted a cross-sectional survey of older adults with NMIBC (≥65 years). We calculated DAI using the Cancer and Aging Research Group's geriatric assessment and measured urinary symptoms using the Urogenital Distress Inventory-6 (UDI-6). The primary outcome was Treatment Burden Questionnaire (TBQ) score. A negative binomial regression with LASSO penalty was used to model TBQ. We further conducted qualitative thematic content analysis of responses to an open-ended survey question ("What has been your Greatest Challenge in managing medical care for your bladder cancer") and created a joint display with illustrative quotes by DAI category. RESULTS: Among 119 patients, mean age was 78.9 years (SD 7) of whom 56.3% were robust, 30.3% pre-frail, and 13.4% frail. In the multivariable model, DAI and UDI-6 were significantly associated with TBQ. Individuals with DAI above the median (>0.18) had TBQ scores 1.94 times greater than those below (adjusted IRR 1.94, 95% CI 1.33-2.82). Individuals with UDI-6 greater than the median (25) had TBQ scores 1.7 times greater than those below (adjusted IRR 1.70, 95% CI 1.16-2.49). The top 5 themes in the Greatest Challenge question responses were cancer treatments (22.2%), cancer worry (19.2%), urination bother (18.2%), self-management (18.2%), and appointment time (11.1%). CONCLUSIONS: DAI and worsening urinary symptoms were associated with higher treatment burden in older adults with NMIBC. These data highlight the need for a holistic approach that reconciles the burden from aging-related conditions with that resulting from cancer treatment.

Perceived vs Actual Shared Decision-Making Behavior Among Urologists: A Convergent, Parallel, Mixed-Methods Study of Self-Reported Practice.

OBJECTIVE: To evaluate the association between self-perceived use of shared decision-making among urologists with use of validated prediction tools and self-described surgical decision-making. METHODS: This is a convergent mixed methods study of these parallel data from two modules (Shared Decision Making and Validated Prediction tools) within the 2019 American Urological Association (AUA) Annual Census. The shared decision-making (SDM) module queried aspects of SDM that urologists regularly used. The validated prediction tools module queried whether urologists regularly used, trusted, and found prediction tools helpful. Selected respondents to the 2019 AUA Annual Census underwent qualitative interviews on their surgical decision-making. RESULTS: In the weight sampled of 12,312 practicing urologists, most (77%) reported routine use of SDM, whereas only 30% noted regular use of validated prediction tools. On multivariable analysis, users of prediction tools were not associated with regular SDM use (31% vs 28%, P = .006) though was associated with use of decision aids f (32% vs 26%, P < .001). Shared decision-making emerged thematically with respect to matching treatment options, prioritizing goals, and navigating challenging decisions. However, the six specific components of shared decision-making ranged in their mentions within qualitative interviews. CONCLUSION: Most urologists report performing SDM as supported by its thematic presence in surgical decision-making. However, only a minority use validated prediction tools and urologists infrequently mention specific SDM components. This discrepancy provides an opportunity to explore how urologists perform SDM and can be used to support integrated strategies to implement SDM more effectively in clinical practice.

Incidence and cost of potentially avoidable emergency department visits for urolithiasis.

OBJECTIVES: Urolithiasis represents a leading cause of emergency department (ED) presentation nationally, affecting approximately 10% of Americans. However, most patients require neither hospital admission nor surgical intervention. This study investigates patient and facility factors associated with potentially avoidable ED visits and their economic consequences. STUDY DESIGN: Retrospective analysis. METHODS: Patients presenting to the ED for index urolithiasis events were selected using Florida and New York all-payer data from the 2016 Healthcare Cost and Utilization Project state databases. Avoidable visits were defined as subsequent ED encounters following initial ED presentation that did not result in intervention, admission, or referral to an acute care facility. Utilizing multivariable logistic and linear regression, researchers discerned patient and facility factors predictive of avoidable ED presentations and associated costs. RESULTS: Of the 167,102 ED encounters for urolithiasis, 7.9% were potentially avoidable, totaling $94,702,972 in potential yearly cost savings. Mean encounter-level costs were higher for unavoidable vs avoidable visits ($5885 vs $2098). In contrast, mean episode-based costs were similar for avoidable and unavoidable episodes ($7200 vs $7284). Receiving care in small metropolitan (vs large metropolitan) communities was associated with potentially avoidable visits, whereas increased comorbidities and Hispanic ethnicity were protective against avoidable visits. CONCLUSIONS: The incidence of ED use for subsequent urolithiasis care reveals opportunity for enhanced outpatient availability to reduce hospital-based costs. Several nonclinical factors are associated with potentially avoidable ED visits for urolithiasis, which, if appropriately targeted, may represent an opportunity to reduce health care spending without compromising the quality of care delivery.

Performance Characteristics of a Rule-Based Electronic Health Record Algorithm to Identify Patients with Gross and Microscopic Hematuria.

BACKGROUND: Two million patients per year are referred to urologists for hematuria, or blood in the urine. The American Urological Association recently adopted a risk-stratified hematuria evaluation guideline to limit multi-phase computed tomography to individuals at highest risk of occult malignancy. OBJECTIVES: To understand population-level hematuria evaluations, we developed an algorithm to accurately identify hematuria cases from electronic health records (EHRs). METHODS: We used International Classification of Diseases (ICD)-9/ICD-10 diagnosis codes, urine color, and urine microscopy values to identify hematuria cases and to differentiate between gross and microscopic hematuria. Using an iterative process, we refined the ICD-9 algorithm on a gold standard, chart-reviewed cohort of 3,094 hematuria cases, and the ICD-10 algorithm on a 300 patient cohort. We applied the algorithm to Geisinger patients ≥35 years (n = 539,516) and determined performance by conducting chart review (n = 500). RESULTS: After applying the hematuria algorithm, we identified 51,500 hematuria cases and 488,016 clean controls. Of the hematuria cases, 11,435 were categorized as gross, 26,658 as microscopic, 12,562 as indeterminate, and 845 were uncategorized. The positive predictive value (PPV) of identifying hematuria cases using the algorithm was 100% and the negative predictive value (NPV) was 99%. The gross hematuria algorithm had a PPV of 100% and NPV of 99%. The microscopic hematuria algorithm had lower PPV of 78% and NPV of 100%. CONCLUSION: We developed an algorithm utilizing diagnosis codes and urine laboratory values to accurately identify hematuria and categorize as gross or microscopic in EHRs. Applying the algorithm will help researchers to understand patterns of care for this common condition.

Reducing Opioid Prescribing after Cesarean Delivery by Utilizing a Tailored Opioid Prescribing Algorithm.

OBJECTIVE: There are increasing efforts among health care systems to promote safe opioid prescribing; however, best practice for minimizing overprescription is not established. Our study aimed to evaluate the effect of a tailored opioid prescribing algorithm on opioid prescription quantities. STUDY DESIGN: A tailored opioid prescribing algorithm was developed to provide a recommended prescription quantity based on inpatient opioid use. A retrospective analysis of opioid prescribing 3 months before and after implementation was performed. Our primary outcome was the number of oxycodone 5-mg tablets prescribed. Subgroup analysis by oxycodone consumption in the 24 hour prior to discharge was performed. Patient satisfaction and unused opioid tablets were assessed by text message survey 2 weeks' postpartum. RESULTS: We included 627 (n = 313 preimplementation; n = 314 postimplementation) patients who underwent cesarean delivery. Clinical characteristics were similar between groups. The median number of oxycodone 5-mg tablets prescribed in the baseline group was 20 (interquartile range [IQR]: 20-30), compared with 5 (IQR: 0-10) in the tailored prescribing group (p < 0.0001). For patients with no opioid use in the 24 hours prior to discharge, the median number of tablets prescribed decreased from 20 (IQR: 10-20) to 0 (IQR: 0-5) following the intervention (p < 0.0001). The proportion of patients discharged without an opioid prescription increased from 7% (23/313) in the baseline group to 35% (111/314) in the tailored prescribing group (odds ratio: 6.9, 95% confidence interval [4.3, 11.1]). CONCLUSION: Tailored opioid prescribing reduced the number of opioid tablets prescribed and increased the proportion of patients who were discharged without an opioid prescription. KEY POINTS: · Opioid prescribing should be tailored by inpatient use.. · Tailored prescribing reduced opioid prescription amounts.. · Many patients do not require an opioid prescription..

Evolution of butterfly seasonal plasticity driven by climate change varies across life stages.

Photoperiod is a common cue for seasonal plasticity and phenology, but climate change can create cue-environment mismatches for organisms that rely on it. Evolution could potentially correct these mismatches, but phenology often depends on multiple plastic decisions made during different life stages and seasons that may evolve separately. For example, Pararge aegeria (Speckled wood butterfly) has photoperiod-cued seasonal life history plasticity in two different life stages: larval development time and pupal diapause. We tested for climate change-associated evolution of this plasticity by replicating common garden experiments conducted on two Swedish populations 30 years ago. We found evidence for evolutionary change in the contemporary larval reaction norm-although these changes differed between populations-but no evidence for evolution of the pupal reaction norm. This variation in evolution across life stages demonstrates the need to consider how climate change affects the whole life cycle to understand its impacts on phenology.

Electronic Health Record Use and Perceptions among Urologic Surgeons.

OBJECTIVE: Electronic health records (EHRs) have become widely adopted with increasing emphasis on improving care delivery. Improvements in surgery may be limited by specialty-specific issues that impact EHR usability and engagement. Accordingly, we examined EHR use and perceptions in urology, a diverse surgical specialty. METHODS: We conducted a national, sequential explanatory mixed methods study. Through the 2019 American Urological Association Census, we surveyed urologic surgeons on EHR use and perceptions and then identified associated characteristics through bivariable and multivariable analyses. Using purposeful sampling, we interviewed 25 urologists and applied coding-based thematic analysis, which was then integrated with survey findings. RESULTS: Among 2,159 practicing urologic surgeons, 2,081 (96.4%) reported using an EHR. In the weighted sample (n = 12,366), over 90% used the EHR for charting, viewing results, and order entry with most using information exchange functions (59.0-79.6%). In contrast, only 35.8% felt the EHR increases clinical efficiency, whereas 43.1% agreed it improves patient care, which related thematically to information management, administrative burden, patient safety, and patient-surgeon interaction. Quantitatively and qualitatively, use and perceptions differed by years in practice and practice type with more use and better perceptions among more recent entrants into the urologic workforce and those in academic/multispecialty practices, who may have earlier EHR exposure, better infrastructure, and more support. CONCLUSION: Despite wide and substantive usage, EHRs engender mixed feelings, especially among longer-practicing surgeons and those in lower-resourced settings (e.g., smaller and private practices). Beyond reducing administrative burden and simplifying information management, efforts to improve care delivery through the EHR should focus on surgeon engagement, particularly in the community, to boost implementation and user experience.

Role, race, and place: Prostate cancer disparities in Patients' and Partners' health outcomes and psychosocial factors.

PURPOSE: This study aimed to examine the effects of participant role (patient vs. partner), race (white vs. non-white), and place (less vs. more neighborhood deprivation) on health outcomes (quality of life [QOL] and symptoms) and stress-coping-related psychosocial factors (appraisals of illness and coping resources). METHODS: This descriptive study included 273 patients and their partners (dyads) who transitioned from PCa treatment to self-management. We used established, psychometrically sound measures to assess health outcomes and psychosocial factors and conducted multilevel modeling analyses. RESULTS: Compared to partners, patients reported worse physical QOL; less frequent anxiety; less pain and fatigue; less bothersome hormonal problems; more bothersome urinary and sexual problems; greater self-efficacy; and more instrumental support. Compared to their white counterparts, non-white dyads reported better overall, emotional, and functional QOL; less depression; more positive appraisals, and greater self-efficacy. Compared to dyads in low ADI neighborhoods, dyads in high ADI (more deprived) neighborhoods reported worse social QOL; more bothersome urinary, sexual, and hormonal symptoms; and less interpersonal support. White patients reported the highest emotional support among all groups, while white partners reported the lowest emotional support. CONCLUSION: Our findings underscore the need to consider social determinants of health at multiple levels when investigating PCa disparities. Considering neighborhood-level socioeconomic factors, in addition to race and role, improves our understanding of the PCa disparities in QOL, symptoms, and psychosocial factors among patients and partners. Targeted multilevel supportive care interventions should tailor to the needs of racially diverse PCa patients and partners residing in deprived neighborhoods are needed.

Understanding the multilevel determinants of clinicians' imaging decision-making: setting the stage for de-implementation of low-value imaging.

BACKGROUND: De-implementation requires understanding and targeting multilevel determinants of low-value care. The objective of this study was to identify multilevel determinants of imaging for prostate cancer (PCa) and asymptomatic microhematuria (AMH), two common urologic conditions that have contributed substantially to the annual spending on unnecessary imaging in the US. METHODS: We used a convergent mixed-methods approach involving survey and interview data. Using a survey, we asked 33 clinicians (55% response-rate) to indicate their imaging approach to 8 clinical vignettes designed to elicit responses that would demonstrate guideline-concordant/discordant imaging practices for patients with PCa or AMH. A subset of survey respondents (N = 7) participated in semi-structured interviews guided by a combination of two frameworks that offered a comprehensive understanding of multilevel determinants. We analyzed the interviews using a directed content analysis approach and identified subthemes to better understand the differences and similarities in the imaging determinants across two clinical conditions. RESULTS: Survey results showed that the majority of clinicians chose guideline-concordant imaging behaviors for PCa; guideline-concordant imaging intentions were more varied for AMH. Interview results informed what influenced imaging decisions and provided additional context to the varying intentions for AMH. Five subthemes touching on multiple levels were identified from the interviews: National Guidelines, Supporting Evidence and Information Exchange, Organization of the Imaging Pathways, Patients' Clinical and Other Risk Factors, and Clinicians' Beliefs and Experiences Regarding Imaging. Imaging decisions for both PCa and AMH were often driven by national guidelines from major professional societies. However, when clinicians felt guidelines were inadequate, they reported that their decision-making was influenced by their knowledge of recent scientific evidence, past clinical experiences, and the anticipated benefits of imaging (or not imaging) to both the patient and the clinician. In particular, clinicians referred to patients' anxiety and uncertainty or patients' clinical factors. For AMH patients, clinicians additionally expressed concerns regarding legal liability risk. CONCLUSION: Our study identified comprehensive multilevel determinants of imaging to inform development of de-implementation interventions to reduce low-value imaging, which we found useful for identifying determinants of de-implementation. De-implementation interventions should be tailored to address the contextual determinants that are specific to each clinical condition.

Relationships among uncertainty, post-traumatic stress disorder symptoms, and quality of life in non-muscle-invasive bladder cancer survivors.

PURPOSE: The aim of this study was to examine relationships among uncertainty, PTSD symptoms (PTSS), and quality of life (QOL) in non-muscle-invasive bladder cancer (NMIBC) survivors. METHODS: Eligible NMIBC survivors were identified through the North Carolina Central Cancer Registry, and 398 survivors participated in a mailed survey that measured survivor's outcomes (uncertainty, PTSS, and QOL). Structural equation modeling was used to examine the mediating effect of uncertainty and PTSS on the association between personal characteristics and QOL in NMIBC survivors. RESULTS: NMIBC survivors experienced cancer-related uncertainty; higher uncertainty was associated with male, lower income, lack of cure, and lower cognition-ability. Uncertainty was significantly and negatively associated with QOL. In addition, PTSS completely mediated the effect of uncertainty on QOL, and higher PTSS had a strong association with poorer QOL. Additionally, comorbidities, cognition-general concerns, uncertainty, and PTSS had strong negative effects on QOL. CONCLUSION: This study has identified modifiable psychosocial factors which affect QOL in NMIBC survivors. The study findings can be used in the development of interventions to improve QOL for NMIBC survivors.

Why study plasticity in multiple traits? New hypotheses for how phenotypically plastic traits interact during development and selection.

Organisms can often respond adaptively to a change in their environment through phenotypic plasticity in multiple traits, a phenomenon termed as multivariate plasticity. These different plastic responses could interact and affect each other's development as well as selection on each other, but the causes and consequences of these interactions have received relatively little attention. Here, we propose a new conceptual framework for understanding how different plastic responses can affect each other's development and why organisms should have multiple plastic responses. A plastic change in one trait could alter the phenotype of a second plastic trait by changing either the cue received by the organism (cue-mediated effect) or the response to that cue (response-mediated effect). Multivariate plasticity could benefit the organism either because the plastic responses work better when expressed together (synergy) or because each response is more effective under different environmental circumstances (complementarity). We illustrate these hypotheses with case studies, focusing on interactions between behavior and morphology, plastic traits that differ in their reversibility. Future empirical and theoretical research should investigate the consequences of these interactions for additional factors important for the evolution of plasticity, such as the limits and costs of plasticity.

Testing the efficacy of a couple-focused, tailored eHealth intervention for symptom self-management among men with prostate cancer and their partners: the study protocol.

BACKGROUND: Men with localized prostate cancer often experience urinary, sexual, bowel, and hormonal symptoms; general distress; pain; fatigue; and sleep disturbance. For men in an intimate relationship, these symptoms disrupt couples' relationships and intimacy. The symptoms also reduce quality of life for both men and their partners, who are often their primary caregivers. Management of the negative effects of cancer and its treatment is a significantly under-addressed supportive care need for these men and their intimate partners. To address these unmet supportive care needs, our interdisciplinary team developed and pilot tested the usability and feasibility of an evidence-based, couple-focused, tailored eHealth intervention, "Prostate Cancer Education & Resources for Couples" (PERC). Based on the adapted stress and coping theoretical framework and developed with stakeholder involvement, PERC aims to improve quality of life for both men and their partners by enhancing their positive appraisals, self-efficacy, social support, and healthy behaviors for symptom management. METHODS: We will test the efficacy of PERC using a population-based, geographically and demographically diverse cohort in a randomized controlled trial. Primary aim: Assess if patients and partners receiving PERC will report greater improvement in their cancer-related quality of life scores than those in the control group (usual care plus the National Cancer Institute prostate cancer website) at 4, 8, and 12 months post-baseline. Secondary aim: Test if patients and partners in PERC will report significantly more positive appraisals and higher levels of coping resources at follow-ups than those in the control group. Exploratory aim: Determine if patient race and ethnicity, education, type of treatment, or couples' relationship quality moderate the effects of PERC on patient and partner QOL at follow-ups. DISCUSSION: This study will provide a novel model for self-managing chronic illness symptoms that impact couples' relationships, intimacy, and quality of life. It addresses the National Institute of Nursing Research's goal to develop and test new strategies for symptom self-management to help patients and caregivers better manage their illness and improve quality of life. It also responds to calls for programs from the Institute of Medicine and American Cancer Society to address treatment-related effects and improve survivors' QOL. TRIAL REGISTRATION: CT.gov NCT03489057.

Urbanization extends flight phenology and leads to local adaptation of seasonal plasticity in Lepidoptera.

Urbanization is gaining force globally, which challenges biodiversity, and it has recently also emerged as an agent of evolutionary change. Seasonal phenology and life cycle regulation are essential processes that urbanization is likely to alter through both the urban heat island effect (UHI) and artificial light at night (ALAN). However, how UHI and ALAN affect the evolution of seasonal adaptations has received little attention. Here, we test for the urban evolution of seasonal life-history plasticity, specifically changes in the photoperiodic induction of diapause in two lepidopterans, Pieris napi (Pieridae) and Chiasmia clathrata (Geometridae). We used long-term data from standardized monitoring and citizen science observation schemes to compare yearly phenological flight curves in six cities in Finland and Sweden to those of adjacent rural populations. This analysis showed for both species that flight seasons are longer and end later in most cities, suggesting a difference in the timing of diapause induction. Then, we used common garden experiments to test whether the evolution of the photoperiodic reaction norm for diapause could explain these phenological changes for a subset of these cities. These experiments demonstrated a genetic shift for both species in urban areas toward a lower daylength threshold for direct development, consistent with predictions based on the UHI but not ALAN. The correspondence of this genetic change to the results of our larger-scale observational analysis of in situ flight phenology indicates that it may be widespread. These findings suggest that seasonal life cycle regulation evolves in urban ectotherms and may contribute to ecoevolutionary dynamics in cities.