Severe housing cost burden and premature mortality from cancer

Unaffordable housing has been associated with poor health. We investigated the relationship between severe housing cost burden and premature cancer mortality (death before 65 years of age) overall and by Medicaid expansion status. County-level severe housing cost burden was measured by the percentage of households that spend 50% or more of their income on housing. States were classified on the basis of Medicaid expansion status (expanded, late-expanded, nonexpanded). Mortality-adjusted rate ratios were estimated by cancer type across severe housing cost burden quintiles. Compared with the lowest quintile of severe housing cost burden, counties in the highest quintile had a 5% greater cancer mortality rate (mortality-adjusted rate ratio = 1.05, 95% confidence interval = 1.01 to 1.08). Within each severe housing cost burden quintile, cancer mortality rates were greater in states that did not expand Medicaid, though this association was significant only in the fourth quintile (mortality-adjusted rate ratio = 1.08, 95% confidence interval = 1.03 to 1.13). Our findings demonstrate that counties with greater severe housing cost burden had higher premature cancer death rates, and rates are potentially greater in non-Medicaid-expanded states than Medicaid-expanded states.

Second primary cancer risks according to race and ethnicity among U.S. breast cancer survivors

Breast cancer survivors have an increased risk of developing second primary cancers, yet risks by race and ethnicity have not been comprehensively described. We evaluated second primary cancer risks among 717,335 women diagnosed with first primary breast cancer (aged 20-84 years and survived ≥1-year) in the SEER registries using standardized incidence ratios (SIRs; observed/expected). SIRs were estimated by race and ethnicity compared with the racial- and ethnic-matched general population, and further stratified by clinical characteristics of the index breast cancer. Poisson regression was used to test for heterogeneity by race and ethnicity. SIRs for second primary cancer differed by race and ethnicity with the highest risks observed among non-Hispanic/Latina Asian American, Native Hawaiian, or other Pacific Islander (AANHPI), non-Hispanic/Latina Black (Black), and Hispanic/Latina (Latina) survivors and attenuated risk among non-Hispanic/Latina White (White) survivors (SIRAANHPI = 1.49, 95% CI = 1.44-1.54; SIRBlack = 1.41, 95% CI = 1.37-1.45; SIRLatina = 1.45, 95% CI = 1.41-1.49; SIRWhite = 1.09, 95% CI = 1.08-1.10; p-heterogeneity<.001). SIRs were particularly elevated among AANHPI, Black, and Latina survivors diagnosed with an index breast cancer before age 50 (SIRs range = 1.88-2.19) or with estrogen receptor-negative tumors (SIRs range = 1.60-1.94). Heterogeneity by race and ethnicity was observed for 16/27 site-specific second cancers (all p-heterogeneity's < .05) with markedly elevated risks among AANHPI, Black, and Latina survivors for acute myeloid and acute non-lymphocytic leukemia (SIRs range = 2.68-3.15) and cancers of the contralateral breast (SIRs range = 2.60-3.01) and salivary gland (SIRs range = 2.03-3.96). We observed striking racial and ethnic differences in second cancer risk among breast cancer survivors. Additional research is needed to inform targeted approaches for early detection strategies and treatment to reduce these racial and ethnic disparities.

The joint effects of mixture exposure to multiple meteorological factors on step count: A panel study in China

The public health burden of increasing extreme weather events has been well documented. However, the influence of meteorological factors on physical activity remains limited. Existing mixture effect methods cannot handle cumulative lag effects. Therefore, we developed quantile g-computation Distributed lag non-linear model (QG-DLNM) by embedding a DLNM into quantile g-computation to allow for the concurrent consideration of both cumulated lag effects and mixture effects. We gathered repeated measurement data from Henan Province in China to investigate both the individual impact of meteorological factor on step counts using a DLNM, and the joint effect using the QG-DLNM. We projected future step counts linked to changes in temperature and relative humidity driven by climate change under three scenarios from the sixth phase of the Coupled Model Intercomparison Project. Our findings indicate there are inversed U-shaped associations for temperature, wind speed, and mixture exposure with step counts, peaking at 11.6 °C in temperature, 2.7 m/s in wind speed, and 30th percentile in mixture exposure. However, there are negative associations between relative humidity and rainfall with step counts. Additionally, relative humidity possesses the highest weights in the joint effect (49% contribution). Compared to 2022s, future step counts are projected to decrease due to temperature changes, while increase due to relative humidity changes. However, when considering both future temperature and humidity changes driven by climate change, the projections indicate a decrease in step counts. Our findings may suggest Chinese physical activity will be negatively influenced by global warming.

Trends in Adolescent Suicide by Method in the US, 1999-2020

Importance

Adolescent suicide in the US is a major public health problem, yet temporal trends in suicide methods by demographics are understudied.

Objective

To examine national trends in suicide mortality by method (firearm, poisoning, hanging and asphyxiation, and all other means) from 1999 to 2020 by demographic characteristics.

Design, Setting, and Participants

This serial cross-sectional study used national death certificate data of adolescent (aged 10-19 years) suicide decedents compiled by the National Center for Health Statistics from January 1, 1999, to December 31, 2020. Data analysis was performed from April 1, 2023, to July 9, 2023.

Exposures

Age, sex, and race and ethnicity.

Main Outcomes and Measures

Trends in age-standardized mortality rates and average annual percent change (AAPC) in rates were estimated by age, sex, and race and ethnicity for each suicide method.

Results

This study assessed data from 47 217 adolescent suicide decedents. From 1999 to 2020, suicide by firearm (AAPC, 1.0; 95% CI, 0.1-1.9), poisoning (AAPC, 2.7; 95% CI, 1.0-4.4), hanging and asphyxiation (AAPC, 2.4; 95% CI, 0.2-4.6), and other means (AAPC, 2.9; 95% CI, 1.2-4.6) increased. Rapidly increasing rates were observed among female adolescents for poisoning (AAPC, 4.5; 95% CI, 2.3-6.7) and hanging and asphyxiation (AAPC, 5.9; 95% CI, 5.0-6.8) suicides. From 2007 to 2020, firearm suicides sharply increased among female (annual percent change [APC], 7.8; 95% CI, 6.0-9.5) and male (APC, 5.3; 95% CI, 4.3-6.3) adolescents. Firearm suicide rates increased among Black adolescents from 2012 to 2020 (APC, 14.5; 95% CI, 9.7-19.5), Asian and Pacific Islander adolescents from 2008 to 2020 (APC, 12.0; 95% CI, 9.7-14.5), American Indian and Alaska Native adolescents from 2014 to 2020 (APC, 10.6; 95% CI, 2.6-19.3), and Hispanic or Latino adolescents from 2011 to 2020 (APC, 10.2; 95% CI, 6.3-13.8). During the study period, Black adolescents had the highest average increase in hanging and asphyxiation suicides (AAPC, 4.2; 95% CI, 3.2-5.2). From 2011 to 2020, poisoning suicide deaths increased (APC, 12.6; 95% CI, 8.5-16.7) among female adolescents.

Conclusions and Relevance

Suicide rates increased across all methods from 1999 to 2020. Differences were noted by sex, age, and race and ethnicity. Increasing suicide rates among racial and ethnic minoritized youth are especially concerning, and effective prevention strategies are urgently needed.

Sex Differences in Cancer Incidence Rates by Race and Ethnicity: Results from the Surveillance, Epidemiology, and End Results (SEER) Registry (2000-2019)

Men have 2-3 times the rate of most non-sex-specific cancers compared to women, but whether this is due to differences in biological or environmental factors remains poorly understood. This study investigated sex differences in cancer incidence by race and ethnicity. Cancer incidence data from the Surveillance, Epidemiology, and End Result (SEER) program (2000-2019) were used to calculate male-to-female incidence rate ratios (MF IRRs) for each cancer site, stratified by race and ethnicity, and age-standardized to the 2000 U.S. population for individuals ages ≥ 20 years. Among 49 cancer sites, 44 showed male predominance (MF IRR > 1), with seven inconsistencies across race and ethnicity, including cancers of the lip, tongue, hypopharynx, retroperitoneum, larynx, pleura cancers, and Kaposi sarcoma. Four cancers exhibited a female predominance (MF IRR < 1), with only gallbladder and anus cancers varying by race and ethnicity. The MF IRRs for cancer of the cranial nerves and other nervous system malignancies showed no sex differences and were consistent (MF IRR = 1) across race and ethnicity. The MF IRRs for most cancers were consistent across race and ethnicity, implying that biological etiologies are driving the observed sex difference. The lack of MF IRR variability by race and ethnicity suggests a minimal impact of environmental exposure on sex differences in cancer incidence. Further research is needed to identify biological drivers of sex differences in cancer etiology.

Potential causal links and mediation pathway between urban greenness and lung cancer mortality: Result from a large cohort (2009 to 2020)

Urban greenness, as a vital component of the urban environment, plays a critical role in mitigating the adverse effects of rapid urbanization and supporting urban sustainability. However, the causal links between urban greenness and lung cancer mortality and its potential causal pathway remain poorly understood. Based on a prospective community-based cohort with 581,785 adult participants in southern China, we applied a doubly robust Cox proportional hazard model to estimate the causal associations between urban greenness exposure and lung cancer mortality. A general multiple mediation analysis method was utilized to further assess the potential mediating roles of various factors including particulate matter (PM1, PM2.5-1, and PM10-2.5), temperature, physical activity, and body mass index (BMI). We observed that each interquartile range (IQR: 0.06) increment in greenness exposure was inversely associated with lung cancer mortality, with a hazard ratio (HR) of 0.89 (95 % CI: 0.83, 0.96). The relationship between greenness and lung cancer mortality might be partially mediated by particulate matter, temperature, and physical activity, yielding a total indirect effect of 0.826 (95 % CI: 0.769, 0.887) for each IQR increase in greenness exposure. Notably, the protective effect of greenness against lung cancer mortality could be achieved primarily by reducing the particulate matter concentration.

Racial and geographical disparities in oesophageal cancer incidence, mortality and county-level risk factors in the state of Mississippi between 2003 and 2019: a descriptive analysis

Background

Oesophageal cancer is one of the most aggressive cancers. The aim was to describe the disparities in oesophageal cancer incidence and mortality, and county-level factors in the state of Mississippi from 2003 to 2019 by sex, race, and geolocation.

Methods

This study used data from the Mississippi Cancer Registry, linked to county-level data from the Behavioral Risk Factor Surveillance System, the American Community Survey, and the Institutes for Health Metrics and Evaluation. We estimated age-standardised incidence (crude ASR) and mortality rates (crude AMR), mortality-incidence rate ratio and average annual percent change (AAPC) in rates by sex, race, and geolocation, using the Joinpoint Software V.5.0. We further calculated relative risks for oesophageal cancer using age-adjusted quasi-Poisson regression for each county-level factor including smoking, obesity, college degree completion, unemployment rate and median household income ranking within the state.

Results

Between 2003 and 2019, a total of 2737 oesophageal cancer cases and 2259 oesophageal cancer deaths occurred in Mississippi. Black men had the greatest reduction in oesophageal cancer incidence and mortality despite high rates (crude ASR2019=10.5, crude AMR2019=7.3 per 100 000; AAPCincidence=-3.7%, p<0.001 and AAPCmortality=-4.9%, p<0.001). The reduction was largely driven by decreases in the non-Delta region (AAPCincidence=-4.2%, p<0.001), while incidence rate remained high among Black men in the Delta region (crude ASR2019=15.4 per 100 000, AAPCincidence=-1.8%, p=0.3). The rates among White men were relatively stable (crude ASR2019=8.5, crude AMR2019=7.6 per 100 000; AAPCincidence=0.18%, p=0.7, AAPCmortality=-0.4%, p=0.6). County-level smoking prevalence (in quartile, p=0.02) was significantly associated with oesophageal cancer incidence.

Discussion

This study highlights the importance of targeted interventions to address the persistent high incidence rate of oesophageal cancer among Black men in the Delta region.

Long-term particulate matter exposure and the risk of neurological hospitalization: Evidence from causal inference of a large longitudinal cohort in South China

With limited evidence on the neurological impact of particulate matter (PM) exposure in China, particularly for PM1 which is smaller but more toxic, we conducted a large Chinese cohort study using causal inference approaches to comprehensively clarify such impact. A total of 36,271 participants in southern China were recruited in 2015 and followed up through 2020. We obtained the neurological hospitalizations records by linking the cohort data to the electronic reports from 418 medical institutions across the study area. By using high-resolution PM concentrations from satellite-based spatiotemporal models and the cohort data, we performed marginal structural Cox models under causal assumptions to assess the potential causal links between time-varying PM exposure and neurological hospitalizations. Our findings indicated that increasing PM1, PM2.5, and PM10 concentrations by 1 μg/m³ were associated with higher overall neurological hospitalization risks, with hazard ratios (HRs) of 1.10 (95% confidence interval (CI) 1.04-1.16), 1.09 (95% CI 1.04-1.14), and 1.03 (95% CI 1.00-1.06), respectively. PM1 appeared to have a stronger effect on neurological hospitalization, with a 1% and 7% higher impact compared to PM2.5 and PM10, respectively. Additionally, each 1-μg/m3 increase in the annual PM1 concentration was associated with an elevated risk of hospitalizations for ischemic stroke (HR: 1.15; 95% CI, 1.06-1.26), which tended to be larger than the estimates for PM2.5 (HR: 1.13, 95% CI, 1.04-1.23) and PM10 (HR: 1.05, 95% CI, 1.00-1.09). Furthermore, never-married or female individuals tended be at a greater risk compared with their counterparts. Our study provides important insights into the health impact of particles, particularly smaller particles, on neurological hospitalization risk and highlights the need for clean-air policies that specifically target these particles.

Trends in Mortality From Poisonings, Firearms, and All Other Injuries by Intent in the US, 1999-2020

Importance

Although deaths due to external causes are a leading cause of mortality in the US, trends over time by intent and demographic characteristics remain poorly understood.

Objective

To examine national trends in mortality rates due to external causes from 1999 to 2020 by intent (homicide, suicide, unintentional, and undetermined) and demographic characteristics. External causes were defined as poisonings (eg, drug overdose), firearms, and all other injuries, including motor vehicle injuries and falls. Given the repercussions of the COVID-19 pandemic, US death rates for 2019 and 2020 were also compared.

Design, Setting, and Participants

Serial cross-sectional study using national death certificate data obtained from the National Center for Health Statistics and including all external causes of 3 813 894 deaths among individuals aged 20 years or older from January 1, 1999, to December 31, 2020. Data analysis was conducted from January 20, 2022, to February 5, 2023.

Exposures

Age, sex, and race and ethnicity.

Main Outcomes and Measures

Trends in age-standardized mortality rates and average annual percentage change (AAPC) in rates calculated by intent (suicide, homicide, unintentional, and undetermined), age, sex, and race and ethnicity for each external cause.

Results

Between 1999 and 2020, there were 3 813 894 deaths due to external causes in the US. From 1999 to 2020, poisoning death rates increased annually (AAPC, 7.0%; 95% CI, 5.4%-8.7%). From 2014 to 2020, poisoning death rates increased the most among men (APC, 10.8%; 95% CI, 7.7%-14.0%). During the study period, poisoning death rates increased in all the racial and ethnic groups examined; the most rapid increase was among American Indian and Alaska Native individuals (AAPC, 9.2%; 95% CI, 7.4%-10.9%). During the study period, death rates for unintentional poisoning had the most rapid rate of increase (AAPC, 8.1%; 95% CI, 7.4%-8.9%). From 1999 to 2020, firearm death rates increased (AAPC, 1.1%; 95% CI, 0.7%-1.5%). From 2013 to 2020, firearm mortality increased by an average of 4.7% annually (95% CI, 2.9%-6.5%) among individuals aged 20 to 39 years. From 2014 to 2020, mortality from firearm homicides increased by an average of 6.9% annually (95% CI, 3.5%-10.4%). From 2019 to 2020, mortality rates from external causes accelerated further, largely from increases in unintentional poisoning, and homicide due to firearms and all other injuries.

Conclusions and Relevance

Results of this cross-sectional study suggest that from 1999 to 2020, death rates due to poisonings, firearms, and all other injuries increased substantially in the US. The rapid increase in deaths due to unintentional poisonings and firearm homicides is a national emergency that requires urgent public health interventions at the local and national levels.

Interactions between long-term ambient particle exposures and lifestyle on the prevalence of hypertension and diabetes: insight from a large community-based survey

INTRODUCTION

Evidence on the interaction of lifestyle and long-term ambient particle (PM) exposure on the prevalence of hypertension, diabetes, particularly their combined condition is limited. We investigate the associations between PM and these outcomes and whether the associations were modified by various lifestyles.

METHODS

This was a large population-based survey during 2019-2021 in Southern China. The concentrations of PM were interpolated and assigned to participants by the residential address. Hypertension and diabetes status were from questionnaires and confirmed with the community health centres. Logistic regression was applied to examine the associations, followed by a comprehensive set of stratified analyses by the lifestyles including diet, smoking, drinking, sleeping and exercise.

RESULTS

A total of 82 345 residents were included in the final analyses. For each 1 μg/m3 increase in PM2.5, the adjusted OR for the prevalence of hypertension, diabetes and their combined condition were 1.05 (95% CI 1.05 to 1.06), 1.07 (95% CI 1.06 to 1.08) and 1.05 (95% CI 1.04 to 1.06), respectively. We observed that the association between PM2.5 and the combined condition was greatest in the group with 4-8 unhealthy lifestyles (OR=1.09, 95% CI 1.06 to 1.13) followed by the group with 2-3 and those with 0-1 unhealthy lifestyle (P interaction=0.026). Similar results and trends were observed in PM10 and/or in those with hypertension or diabetes. Individuals who consumed alcohol, had inadequate sleep duration or had poor quality sleep were more vulnerable.

CONCLUSION

Long-term PM exposure was associated with increased prevalence of hypertension, diabetes and their combined condition, and those with unhealthy lifestyles suffered greater risks of these conditions.

Stressful Life Events, Social Support, and Incident Breast Cancer by Estrogen Receptor Status

Chronic stress affects immune function and hormonal signaling and has been hypothesized to be associated with breast cancer, although results from the few prior studies are mixed and have not examined potential differences by estrogen receptor (ER) status. Using the Women's Health Initiative study, we included 76,951 postmenopausal women followed for events for a median of 16.7 years to investigate the association between baseline self-reported stressful life events and incident breast cancer by ER status and whether the association was modified by social support. We generated Cox proportional hazards models adjusting for demographic, clinical, lifestyle/behavioral, and social factors to estimate HRs and 95% confidence intervals (95%CI). The mean age was 63 (SD, 7.3), and majority of participants were White race (83.5%) and married or in a marriage-like relationship (63.0%). In analyses stratified by ER status, there was no relationship between stressful life events and ER-positive breast cancer. In contrast, compared with women in the lowest quartile, those in higher quartiles had an increased risk of ER-negative breast cancer, where those in quartile 4 had the highest risk (Quartile 4 vs. Quartile 1; HR = 1.30; 95%CI, 1.01-1.68; Ptrend = 0.050). Moreover, associations were stronger for the highest versus lowest quartile of stressful life events among widowed women (HR = 2.39; 95%CI, 1.29-4.44; Pinteraction<0.001). Association between stressful life events and ER-negative breast cancer was not modified by social support. In this cohort of postmenopausal women, higher experiences of prediagnostic stressful life events were associated with increased risk of ER-negative breast cancer.

PREVENTION RELEVANCE

Epidemiologic studies on the association between psychosocial stress and breast cancer risk remain inconsistent, while investigation of whether the association differs by ER status is limited. In this prospective cohort of postmenopausal women, high experiences of stressful life events were positively associated with ER-negative disease but not ER-positive.

Cancer mortality rates by racial/ethnic groups in the United States, 2018-2020

BACKGROUND

Starting in 2018, national death certificates included a new racial classification system that accounts for multiple-race decedents and separates Native Hawaiian and Pacific Islander (NHPI) individuals from Asian individuals. We estimated cancer death rates across updated racial/ethnic categories, sex, and age.

METHODS

Age-standardized U.S. cancer mortality rates and rate ratios from 2018-2020 among ≥20-year-olds were estimated with national death certificate data by race/ethnicity, sex, age, and cancer site.

RESULTS

In 2018, there were approximately 597,000 cancer deaths, 598,000 in 2019, and 601,000 in 2020. Among men, cancer death rates were highest in Black men (298.2/100,000; n = 105,632), followed by White (250.8; n = 736,319), American Indian/Alaska Native (AI/AN) (249.2; n = 3,376), NHPI (205.6; n = 1,080), Latino (177.2; n = 66,167), and Asian (147.9; n = 26,591) men. Among women, Black women had the highest cancer death rates (206.5/100,000; n = 104,437), followed by NHPI (192.1; n = 1,141), AI/AN (189.9; n = 3,239), White (183.0; n = 646,865), Latina (128.4; n = 61,579), and Asian women (111.4; n = 26,396). The highest death rates by age group occurred among NHPI individuals aged 20-49 years, and Black individuals aged 50-69 and ≥70 years. Asian individuals had the lowest cancer death rates across age groups. Compared to Asian individuals, total cancer death rates were 39% higher in NHPI men and 73% higher in NHPI women.

CONCLUSIONS

There were striking racial/ethnic disparities in cancer death rates during 2018-2020. Separating NHPI and Asian individuals revealed large differences in cancer mortality between two groups that were previously combined in vital statistics data.

Discrimination Experiences and All-Cause and Cardiovascular Mortality: Multi-Ethnic Study of Atherosclerosis

BACKGROUND

Epidemiologic studies have documented the associations between experiences of discrimination and adverse health outcomes. However, the relationship between discrimination and mortality, and the factors that may moderate this relationship are not well understood. This study examined whether lifetime and everyday discrimination were associated with all-cause and cardiovascular mortality and whether these associations differed by race and ethnicity, gender, and racial and ethnic residential segregation.

METHODS

The study included 1633 Black, 1403 Hispanic/Latino, and 2473 White participants aged 45 to 84 years from the Multi-Ethnic Study of Atherosclerosis, enrolled from 2000 to 2002 and followed across 5 exams (2002-2018). Discrimination was measured using the lifetime discrimination (major experiences of unfair treatment) and everyday discrimination (day-to-day experiences of unfair treatment) scales. Racial and ethnic residential segregation was measured using the Gi* statistic. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% CIs, adjusting for sociodemographic characteristics, health behaviors, and clinical risk factors.

RESULTS

Each increase in reports of lifetime discrimination was associated with increased all-cause (HR, 1.06 [95% CI, 1.00-1.11]) and cardiovascular (HR, 1.15 [95% CI, 1.04-1.27]) mortality, adjusting for sociodemographic factors, health behaviors, and clinical risk factors. Associations between lifetime discrimination and cardiovascular mortality were observed across all racial and ethnic groups but were strongest and only statistically significant among Black participants (HR, 1.18 [95% CI, 1.02-1.37]). Additionally, in the fully adjusted model, each increase in reports of everyday discrimination was strongly associated with increased cardiovascular mortality (HR, 1.21 [95% CI, 1.03-1.43]). Associations for lifetime and everyday discrimination with all-cause and cardiovascular mortality were not modified by race and ethnicity, gender, or racial and ethnic residential segregation.

CONCLUSIONS

These findings suggest that experiences of discrimination are associated with increased all-cause and cardiovascular mortality.

Abstract 3011: Psychosocial stress, social support, and incident breast cancer by estrogen receptor status

Introduction: Chronic stress affects immune function and hormonal signaling and has been hypothesized to be associated with breast cancer, although results from the few prior studies are mixed and have not examined potential differences by estrogen receptor (ER) status. We investigated the relationship between stressful life events and incident breast cancer by ER status among postmenopausal women. We further evaluated whether this association is modified by social support.

Methods: Our analysis included 76,951 postmenopausal women enrolled in the Women’s Health Initiative. Participants were followed for events for up to 26 years (median, 16.7). We generated Cox proportional hazards models adjusting for demographic, clinical, lifestyle/behavioral, and social factors to estimate hazard ratios (HR) and 95% confidence intervals (95%CI) for associations between baseline self-reported stressful life events and incident breast cancer by ER status.

Results: The mean age was 63 (SD 7.3), and majority of participants were White race (83.5%) and married or in a marriage-like relationship (63.0%). In analyses stratified by ER status, there was no relationship between stressful life events and ER-positive breast cancer. In contrast, compared to women in the lowest quartile, those in higher quartiles had an increased risk of ER-negative breast cancer, where those in quartile 4 had the highest risk (Quartile 4 vs Quartile 1; HR=1.30; 95%CI 1.01-1.68; Ptrend=0.050). Additionally, associations were stronger for the highest versus lowest quartile of stressful life events among widowed women (HR=2.39; 95%CI 1.29-4.44; Pinteraction&lt;0.001). Moreover, while the interaction was not statistically significant, we observed an elevated risk for ER-negative breast cancer among women in the highest quartile of stressful life events reporting lower social support.

Conclusion: In this cohort of postmenopausal women, higher experiences of pre-diagnostic stressful life events were associated with increased risk of ER-negative breast cancer.

Citation Format: Wayne R. Lawrence, Jasmine A. McDonald, Faustine Williams, Meredith S. Shiels, Neal D. Freedman, Ziqiang Lin, Jared W. Magnani. Psychosocial stress, social support, and incident breast cancer by estrogen receptor status [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3011.

The impact of mortality underreporting on the association of ambient temperature and PM10 with mortality risk in time series study

Properly analyzing and reporting data remains a challenging task in epidemiologic research, as underreporting of data is often overlooked. The evaluation on the effect of underreporting remains understudied. In this study, we examined the effect of different scenarios of mortality underreporting on the relationship between PM₁₀, temperature, and mortality. Mortality data, PM₁₀, and temperature data in seven cities were obtained from Provincial Center for Disease Control and Prevention (CDC), China Meteorological Data Sharing Service System, and China National Environmental Monitoring Center, respectively. A time-series design with a distributed lag nonlinear model (DLNM) was used to examine the effects of five mortality underreporting scenarios: 1) Random underreporting of mortality; 2) Underreporting is monotonically increasing (MI) or monotonically decreasing (MD); 3) Underreporting due to holiday and weekends; 4) Underreporting occurs before the 20th day of each month, and these underreporting will be added after the 20th day of the month; and 5) Underreporting due to holiday, weekends, MI, and MD. We observed that underreporting at random (UAR) scenario had little effect on the association between PM₁₀, temperature, and daily mortality. However, other four underreporting not at random (UNAR) scenarios mentioned above had varying degrees of influence on the association between PM₁₀, temperature, and daily mortality. Additionally, in addition to imputation under UAR, the variation of minimum mortality temperature (MMT) and attributable fraction (AF) of mortality attributed to temperature in the same imputation scenarios is inconsistent in different cities. Finally, we observed that the pooled excess risk (ER) below MMT was negatively associated with mortality and the pooled ER above MMT was positively associated with mortality. This study showed that UNAR impacted the association between PM₁₀, temperature, and mortality, and potential underreporting should be dealt with before analyzing data to avoid drawing invalid conclusions.

Abstract 06: Discrimination Experiences and All-Cause and Cardiovascular Mortality: The Multi-Ethnic Study of Atherosclerosis

Introduction: Epidemiologic studies have documented the associations between experiences of discrimination and adverse health outcomes. However, the relationship between discrimination and mortality, and the factors that may moderate this relationship are not well understood. This study examined whether lifetime and everyday discrimination were associated with all-cause and cardiovascular mortality, and whether these associations differed by race/ethnicity, gender, and racial/ethnic residential segregation.

Hypothesis: We hypothesized that greater exposure to lifetime and everyday discrimination would be associated with increased risk of cardiovascular mortality, and that these associations would be modified by race/ethnicity, gender, and racial/ethnic residential segregation.

Methods: The study included 1,633 Black, 1,403 Hispanic/Latino, and 2,473 White participants aged 45 to 84 years from the Multi-Ethnic Study of Atherosclerosis, enrolled from 2000-2002 and followed across 5 exams (2002-2018). In addition to exams, follow-up for mortality involved phone calls and linkage with the National Death Index. Discrimination was measured using the lifetime discrimination (major experiences of unfair treatment) and everyday discrimination (day-to-day experiences of unfair treatment) scales. Racial/ethnic residential segregation was measured using the Gi* statistic. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (95%CIs), adjusting for sociodemographic characteristics, health behaviors, and clinical risk factors.

Results: Each increase in reports of lifetime discrimination was associated with increased all-cause (HR=1.06; 95%CI 1.00,1.11,) and cardiovascular (HR=1.15; 95%CI 1.04, 1.27) mortality, adjusting for sociodemographic factors, health behaviors, and clinical risk factors. Associations between lifetime discrimination and cardiovascular mortality were observed across all racial/ethnic groups but were strongest and only statistically significant among Black participants (HR=1.18; 95%CI 1.02, 1.37). Additionally, in the fully adjusted model, each increase in reports of everyday discrimination was marginally associated with increased all-cause mortality (HR=1.07; 95%CI 0.98-1.17) and strongly associated with increased cardiovascular mortality (HR=1.21; 95%CI 1.03, 1.43). Associations for lifetime and everyday discrimination with all-cause and cardiovascular mortality were not modified by race/ethnicity, gender, or racial/ethnic residential segregation.

Conclusion: These findings suggest that experiences of discrimination are associated with increased all-cause and cardiovascular mortality. Our results underscore the need for interventions aimed at preventing and mitigating the adverse health effects of discrimination.

Commentary: An Equitable Approach to Serving Structurally Marginalized Communities

As the United States grapples with social injustices, greater attention is being placed on the historical lack of equity practices among health and social service organizations that serve marginalized and predominantly racially minoritized communities. We describe strategies health and social service organizations that partner with community-led organizations must take to ensure actionable equitable changes. The opportunity and promise are upon us to resolve health inequities and promote equity-oriented practices, policies, systems, and social-environmental changes.

Trends in Cancer Mortality Among Black Individuals in the US From 1999 to 2019

Questions

How did cancer mortality among Black individuals change in the US from 1999 to 2019 by age, sex, and cancer site, and how did 2019 cancer mortality rates among Black individuals compare with rates in other racial and ethnic groups?

Findings

In this cross-sectional study of 1 361 663 deaths from cancer among Black individuals, although cancer mortality decreased considerably among Black individuals from 1999 to 2019, the cancer mortality rate was higher among Black men and women than in other racial and ethnic groups in 2019.

Meaning

The findings suggest that resources should be allocated toward eliminating social inequalities and barriers throughout the cancer control continuum that contribute to substantially higher cancer mortality rates among Black men and women.

Importance

Cancer is the second leading cause of mortality in the US. Despite national decreases in cancer mortality, Black individuals continue to have the highest cancer death rates.

Objective

To examine national trends in cancer mortality from 1999 to 2019 among Black individuals by demographic characteristics and to compare cancer death rates in 2019 among Black individuals with rates in other racial and ethnic groups.

Design, Setting, and Participants

This serial cross-sectional study used US national death certificate data obtained from the National Center for Health Statistics and included all cancer deaths among individuals aged 20 years or older from January 1999 to December 2019. Data were analyzed from June 2021 to January 2022.

Exposures

Age, sex, and race and ethnicity.

Main Outcomes and Measures

Trends in age-standardized mortality rates and average annual percent change (AAPC) in rates were estimated by cancer type, age, sex, and race and ethnicity.

Results

From 1999 to 2019, 1 361 663 million deaths from cancer occurred among Black individuals. The overall cancer death rate significantly decreased among Black men (AAPC, −2.6%; 95% CI, −2.6% to −2.6%) and women (AAPC, −1.5%; 95% CI, −1.7% to −1.3%). Death rates decreased for most cancer types, with the greatest decreases observed for lung cancer among men (AAPC, −3.8%; 95% CI, −4.0% to −3.6%) and stomach cancer among women (AAPC, −3.4%; 95% CI, −3.6% to −3.2%). Lung cancer mortality also had the largest absolute decreases among men (−78.5 per 100 000 population) and women (−19.5 per 100 000 population). We observed a significant increase in deaths from liver cancer among men (AAPC, 3.8%; 95% CI, 3.0%-4.6%) and women (AAPC, 1.8%; 95% CI, 1.2%-2.3%) aged 65 to 79 years. There was also an increasing trend in uterus cancer mortality among women aged 35 to 49 years (2.9%; 95% CI, 2.3% to 2.6%), 50 to 64 years (2.3%; 95% CI, 2.0% to 2.6%), and 65 to 79 years (1.6%; 95% CI, 1.2% to 2.0%). In 2019, Black men and women had the highest cancer mortality rates compared with non-Hispanic American Indian/Alaska Native, Asian or Pacific Islander, and White individuals and Hispanic/Latino individuals.

Conclusions and Relevance

In this cross-sectional study, there were substantial decreases in cancer death rates among Black individuals from 1999 to 2019, but higher cancer death rates among Black men and women compared with other racial and ethnic groups persisted in 2019. Targeted interventions appear to be needed to eliminate social inequalities that contribute to Black individuals having higher cancer mortality.

Association between sociodemographic characteristics and age stopped breastfeeding on early childhood weight status

INTRODUCTION

Epidemiological studies have suggested that breastfeeding is associated with child weight status. However, the length of breastfeeding in relation to child weight remains poorly understood. Therefore, this study investigated the association between age stopped breastfeeding and child weight status by sociodemographic characteristics.

METHODS

This cross-sectional analysis utilized a nationally representative sample of 3248 U.S. children ages 2-6 years from 2009 to 2018, from parents interviewed as part of the National Health and Nutrition Examination Survey. Child body weight and height were measured during physical examination. Information on age stopped breastfeeding and other demographic characteristics were assessed using questionnaires. Multivariable logistic regression models were performed to examine the association between age stopped breastfeeding and child weight status, adjusting for potential confounders.

RESULTS

Children breastfed for ≤ 11 months had an increased odds of being overweight and obese with the strongest association observed among those classified as obese (OR=2.12; 95%CI 1.23, 3.64) compared with children breastfed for > 11-24 months. The association between breastfeeding and child weight status was observed by racial/ethnic groups. Non-Hispanic white and Black children breastfed for ≤ 11 months had an associated increased likelihood of being overweight than their counterparts breastfed for > 11-24 months. Among Hispanic children, we observed elevated odds of being obese when breastfed for ≤ 11 months (OR=1.98; 95%CI 1.00, 3.91) than those breastfed for > 11-24 months.

CONCLUSION

Child weight status was associated with age stopped breastfeeding, where likelihood of being overweight and obese were greatest among children breastfed for ≤ 11 months.

Nanotechnology-Driven Cell-Based Therapies in Regenerative Medicine

The administration of cells as therapeutic agents has emerged as a novel approach to complement the use of small molecule drugs and other biologics for the treatment of numerous conditions. Although the use of cells for structural and/or functional tissue repair and regeneration provides new avenues to address increasingly complex disease processes, it also faces numerous challenges related to efficacy, safety, and translational potential. Recent advances in nanotechnology-driven cell therapies have the potential to overcome many of these issues through precise modulation of cellular behavior. Here, we describe several approaches that illustrate the use of different nanotechnologies for the optimization of cell therapies and discuss some of the obstacles that need to be overcome to allow for the widespread implementation of nanotechnology-based cell therapies in regenerative medicine.

A 28-year prospective analysis of serum vitamin E, vitamin E-related genetic variation and risk of prostate cancer

Objective:

Investigate the relationship between serum α-tocopherol concentration and long-term risk of prostate cancer, and evaluate the interaction with vitamin E–related genetic variants and their polygenic risk score (PRS).

Methods:

We conducted a biochemical analysis of 29 102 male Finnish smokers in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. Serum α-tocopherol was measured at baseline using high-performance liquid chromatography, and 2 724 prostate cancer cases were identified during 28 years of follow-up. Cox proportional hazards models examined whether serum α-tocopherol concentrations were associated with prostate cancer risk. Among 8 383 participants, three SNPs related to vitamin E status (rs964184, rs2108622, and rs11057830) were examined to determine whether they modified the relationship between serum α-tocopherol concentrations and prostate cancer risk, both individually and as a PRS using logistic regression models.

Results:

No association was observed between serum α-tocopherol and prostate cancer risk (fifth quintile (Q5) versus Q1 hazard ratio (HR)=0.87, 95% confidence interval (95% CI) 0.75, 1.02; p-trend=0.57). Though no interactions were seen by population characteristics, high α-tocopherol concentration was associated with reduced prostate cancer risk among the trial α-tocopherol supplementation group (Q5 quintile versus Q1 HR=0.79, 95% CI 0.64, 0.99). Finally, no associated interaction between the three SNPs or their PRS and prostate cancer risk was observed.

Conclusion:

Although there was a weak inverse association between α-tocopherol concentration and prostate cancer risk over nearly three decades, our findings suggest that men receiving the trial α-tocopherol supplementation who had higher baseline serum α-tocopherol concentration experienced reduced prostate cancer risk. Vitamin E–related genotypes did not modify the serum α-tocopherol-prostate cancer risk association.

The mediating effect of engagement in physical activity over a 24-hour period on chronic disease and depression: Using compositional mediation model

BACKGROUND

Popular mediation method only considers a single activity as a mediator instead of all 24-hour physical activity, such as a four-way decomposition method. We investigated the mediation of 24-hour movement continuum between chronic diseases (cardiovascular disease [CVD] and diabetes) and depression using a novel compositional mediation model.

METHODS

24-hour activity data measured by accelerometer were obtained from NHANES 2005-2006. Adjusted coefficient with 95% confidence interval (95% CI) for PHQ-9 total score and adjusted odds ratio (OR) with 95% CI for depression were computed from compositional mediation models.

RESULTS

In total, 2,375 participants aged ≥ 20 were included in our analysis. Both diabetes and CVD were associated with increased sedentary behavior (SB) and sleep and reduced moderate-to-vigorous physical activity (MVPA) and light-intensity physical activity (LPA), leading to an increased likelihood of depression. Although not all component indirect effects were associated with PHQ-9 total score and depression, the total indirect effect was significantly associated with both PHQ-9 total score (coefficient (95% CI) for diabetes: 0.162 (0.081, 0.261); coefficient (95% CI) for CVD: 1.139 (1.061, 1.240)) and depression (OR (95% CI) for diabetes: 0.235 (0.126, 0.362); OR (95% CI) for CVD: 1.200 (1.088, 1.346)) using the compositional mediation model.

CONCLUSION

We developed a compositional mediation model for continuous and binary outcomes, which can handle entire compositional mediators as a unit. The mediation of 24-hour movement continuum mediated the association between diabetes, CVD, and depression. Our findings present potential interventions for reducing risk of depression among patients with CVD and diabetes.

Classifying depression using blood biomarkers: A large population study

BACKGROUND

Depression is a common mood disorder characterized by persistent low mood or lack of interest in activities. People with other chronic medical conditions such as obesity and diabetes are at greater risk of depression. Diagnosing depression can be a challenge for primary care providers and others who lack specialized training for these disorders and have insufficient time for in-depth clinical evaluation. We aimed to create a more objective low-cost diagnostic tool based on patients' characteristics and blood biomarkers.

METHODS

Blood biomarker results were obtained from the National Health and Nutrition Examination Survey (NHANES, 2007-2016). A prediction model utilizing random forest (RF) in NHANES (2007-2014) to identify depression was derived and validated internally using out-of-bag technique. Afterwards, the model was validated externally using a validation dataset (NHANES, 2015-2016). We performed four subgroup comparisons (full dataset, overweight and obesity dataset (BMI≥25), diabetes dataset, and metabolic syndrome dataset) then selected features using backward feature selection from RF.

RESULTS

Family income, Gamma-glutamyl transferase (GGT), glucose, Triglyceride, red cell distribution width (RDW), creatinine, Basophils count or percent, Eosinophils count or percent, and Bilirubin were the most important features from four models. In the training set, AUC from full, overweight and obesity, diabetes, and metabolic syndrome datasets were 0.83, 0.80, 0.82, and 0.82, respectively. In the validation set, AUC were 0.69, 0.63, 0.66, and 0.64, respectively.

CONCLUSION

Results of routine blood laboratory tests had good predictive value for distinguishing depression cases from control groups not only in the general population, but also individuals with metabolism-related chronic diseases.

Increased risk of multiple pregnancy complications following large-scale power outages during Hurricane Sandy in New York State

BACKGROUND

Large-scale power outages (PO) are increasing in the context of climate change. Although some research has been conducted into the adverse health impacts of POs, significant gaps remain regarding whether POs would affect the health of pregnant women. We investigated the association between ED visits due to pregnancy complications and the occurence, intensity, and duration of large-scale POs in eight Sandy-affected counties in New York State (NYS).

METHODS

In this cross-sectional study, daily ED visits for pregnancy complications and large-scale PO data in eight counties in NYS from October to December in 2005-2014 were collected. Using time-series analysis, we estimated the relative increase in ED visits for pregnancy complications during POs compared with non-PO periods at lag 0-7 days. Short-term health impacts of PO intensity and PO duration were investigated. Estimations were also stratified by sociodemographic characteristics and disease subtypes including threatened or spontaneous abortion, threatened or early labor, hypertension complications, infections of genitourinary tract, renal diseases, gestational diabetes mellitus, mental illnesses, and cardiovascular diseases during pregnancy.

RESULTS

From October to December in 2005-2014, there were 307,739 ED visits for pregnancy complications in the eight counties. We found significant increases in ED visits for overall pregnancy complications (16.6%, 95% confidence interval [CI]: 10.3%, 23.2%) during the Hurricane-PO period at lag 0-7 days. The ED visits increased by 8.8% per level increase in PO intensity and 1.4% per day increase in PO duration. Specifically, threatened/early delivery and gestational diabetes mellitus during the PO period increased by 26.7% (95% CI: 8.2%, 48.4%) and 111.8% (95% CI: 16.7%, 284.4%), respectively. Young adult, Black, Hispanic, and uninsured individuals were at higher risk of complications.

CONCLUSIONS

POs may adversely impact pregnancy, especially for certain pregnancy complications and among low sociodemographic women.

Association between serum uric acid and obesity in Chinese adults: a 9-year longitudinal data analysis

OBJECTIVES

Hyperuricaemia has been reported to be significantly associated with risk of obesity. However, previous studies on the association between serum uric acid (SUA) and body mass index (BMI) yielded conflicting results. The present study examined the relationship between SUA and obesity among Chinese adults.

METHODS

Data were collected at Guangdong Second Provincial General Hospital in Guangzhou City, China, between January 2010 and December 2018. Participants with ≥2 medical check-up times were included in our analyses. Physical examinations and laboratory measurement variables were obtained from the medical check-up system. The high SUA level group was classified as participants with hyperuricaemia, and obesity was defined as BMI ≥28 kg/m². Logistic regression model was performed for data at baseline. For all participants, generalised estimation equation (GEE) model was used to assess the association between SUA and obesity, where the data were repeatedly measured over the 9-year study period. Subgroup analyses were performed by gender and age group. We calculated the cut-off values for SUA of obesity using the receiver operating characteristic curves (ROC) technique.

RESULTS

A total of 15 959 participants (10 023 men and 5936 women) were included in this study, with an average age of 37.38 years (SD: 13.27) and average SUA of 367.05 μmol/L (SD: 97.97) at baseline, respectively. Finally, 1078 participants developed obesity over the 9-year period. The prevalence of obesity was approximately 14.2% for high SUA level. In logistic regression analysis at baseline, we observed a positive association between SUA and risk of obesity: OR=1.84 (95% CI: 1.77 to 1.90) for per-SD increase in SUA. Considering repeated measures over 9 year for all participants in the GEE model, the per-SD OR was 1.85 (95% CI: 1.77 to 1.91) for SUA and the increased risk of obesity were greater for men (OR=1.45) and elderly participants (OR=1.01). In subgroup analyses by gender and age, we observed significant associations between SUA and obesity with higher risk in women (OR=2.35) and young participants (OR=1.87) when compared with men (OR=1.70) and elderly participants (OR=1.48). The SUA cut-off points for risk of obesity using ROC curves were approximately consistent with the international standard.

CONCLUSIONS

Our study observed higher SUA level was associated with increased risk of obesity. More high-quality research is needed to further support these findings.

Development and Validation of Web-Based Nomograms to Precisely Predict Survival Outcomes of Non-metastatic Nasopharyngeal Carcinoma in an Endemic Area

Purpose

This study aimed to develop web-based nomograms to precisely predict survival outcomes in patients with non-metastatic nasopharyngeal carcinoma (NPC) in an endemic area.

Materials and Methods

A total of 10,126 patients who underwent radical intensity-modulated radiotherapy at Sun Yat-sen University Cancer Center (SYSUCC) from 2009 to 2015 were analyzed. We assigned patients into a training cohort (SYSUCC-A, n=6,751) and an internal validation cohort (SYSUCC-B, n=3,375) based on computer-generated random numbers. Patients collected from Wuzhou Red Cross Hospital (WZRCH) between 2012 and 2015 were used as the independent external validation cohort (WZRCH, n=450). Concordance index (C-index) was used to determine predictive accuracy and discriminative ability for the nomogram. The web-based clinicopathologic prediction models for predicting survival were based on Cox regression.

Results

The C-indexes for SYSUCC-A, SYSUCC-B, and WZRCH cohorts for the established nomograms to predict 3-year overall survival (OS) was 0.736, 0.715, and 0.691. Additionally, C-indexes to predict 3-year distant metastasis-free survival (DMFS) was 0.717, 0.706, and 0.686, disease-free survival (DFS) was 0.713, 0.697, and 0.656, local relapse-free survival was 0.695, 0.684, and 0.652, and regional relapse-free survival was 0.672, 0.650, and 0.616. The calibration plots showed great agreement between nomogram-predicted 3-year survival outcomes and actual 3-year survival outcomes. Moreover, C-indexes of the nomograms for OS, DMFS, and DFS were significantly superior than TNM stage (p < 0.001 for all).

Conclusion

These user-friendly nomograms can precisely predict survival endpoints in patients with non-metastatic NPC. They may serve as a useful tool for providing patient counseling and help physicians to make individual follow-up plans.

Abstract PR16: All-cause and cause-specific mortality among Medicaid-insured women with preexisting type 2 diabetes diagnosed with breast cancer: A cancer registry-Medicaid linkage

Background: Previous studies have reported that women with type 2 diabetes mellitus (T2DM) diagnosed with breast cancer have greater overall morality compared to nondiabetic breast cancer patients, while limited knowledge exists on cause-specific mortality. Among the nonelderly U.S. population, Medicaid-insured individuals have higher breast cancer mortality and elevated risk of T2DM-related complications compared to other insurance types. However, the role of preexisting T2DM on mortality among Medicaid-insured women diagnosed with breast cancer remains unknown. We investigated the influence preexisting T2DM and antidiabetic drugs have on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer. Methods: Data for 9,221 women aged &lt;64 years who were diagnosed with breast cancer and reported to the New York State (NYS) Cancer Registry from 2004-2016 were linked with Medicaid claims data. Preexisting T2DM was determined by three diagnosis claims for T2DM with at least one claim prior to breast cancer diagnosis and a prescription claim for an antidiabetic drug within three months following breast cancer diagnosis. Estimated menopausal status was determined by age (premenopausal age &lt;50; postmenopausal age ≥50). Hazard ratios (HR) and 95% confidence intervals (95%CI) were calculated with Cox proportional hazards regression, adjusting for potential confounders. Results: Women with preexisting T2DM had greater all-cause (HR=1.42; 95%CI 1.22, 1.65), cancer-specific (HR=1.26; 95%CI 1.06, 1.50), and cardiovascular-specific (HR=2.45; 95%CI 1.54, 3.89) mortality hazard compared to nondiabetic women. In subgroup analyses, the association between T2DM and all-cause mortality was observed among non-Hispanic White (HR 1.80 95%CI 1.39, 2.32), postmenopausal (HR=1.49; 95%CI 1.24, 1.79) women, but not among other race/ethnicity groups or premenopausal women. Additionally, compared to women prescribed metformin, all-cause mortality hazard was elevated among women prescribed sulfonylurea (HR=1.44; 95%CI 1.07, 1.94) or insulin (HR=1.54; 95%CI 1.12, 2.11). Conclusion: Among Medicaid-insured women with breast cancer, those with preexisting T2DM have an increased mortality hazard, especially when prescribed sulfonylurea or insulin. Further research is warranted to determine the optimal course of treatment for women with preexisting T2DM diagnosed with breast cancer.

Citation Format: Wayne R. Lawrence, Akiko S. Hosler, Margaret Gates Kuliszewski, Matthew C. Leinung, Wangjian Zhang, Francis P. Boscoe. All-cause and cause-specific mortality among Medicaid-insured women with preexisting type 2 diabetes diagnosed with breast cancer: A cancer registry-Medicaid linkage [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PR16.

Abstract A106: Preexisting mental illness on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer

Background: Research suggests mental illness contributes to poor survival among cancer patients. In New York State (NYS), Medicaid is the largest single insurer for individuals with mental illness. We investigated the influence of preexisting mental illness on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer. Methods: 9,479 women aged &lt;65 years diagnosed with breast cancer and reported to the NYS Cancer Registry from 2004-2016 were linked with NYS Medicaid claims. Women were grouped as having depression or severe mental illness if they had at least three diagnosis claims for mental illness with at least one claim within three years prior to breast cancer diagnosis. Severe mental illness included schizophrenia, bipolar disorder, and other psychotic disorders. Hazard ratios (HR) and 95% confidence intervals (95% CI) were calculated with Cox regression, adjusting for potential confounders. Results: Women with severe mental illness had greater risks of all-cause (HR 1.49; 95% CI 1.25, 1.78), cancer (HR 1.36; 95% CI 1.09, 1.68), and cardiovascular (HR 2.14; 95% CI 1.22, 3.74) mortality compared to women without mental illness. No association was observed for depression. The association between severe mental illness and all-cause mortality was strongest among Asians (HR 3.85; 95% CI 1.55, 9.60) but also observed in White (HR 1.50; 95% CI 1.17, 1.93) and Black (HR 1.36; 95% CI 1.02, 1.80) women. Additionally, associations were also observed among obese (HR 1.83; 95% CI 1.42, 2.36) and postmenopausal (HR 1.64; 95% CI 1.35, 2.01) women with preexisting severe mental illness, but no association was observed for premenopausal women. Conclusion: Women with preexisting severe mental illness diagnosed with breast cancer have an elevated mortality risk and should be monitored and treated by a coordinated cross-functional clinical team.

Citation Format: Wayne R Lawrence, Akiko Hosler, Margaret Gates, Matthew Leinung, Xiuling Zhang, Wangjian Zhang, Maria Schymura, Francis Boscoe. Preexisting mental illness on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A106.

Impact of preexisting type 2 diabetes mellitus and antidiabetic drugs on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer

BACKGROUND

We investigated the influence preexisting type 2 diabetes mellitus (T2DM) and antidiabetic drugs have on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer.

METHODS

9221 women aged <64 years diagnosed with breast cancer and reported to the New York State (NYS) Cancer Registry from 2004 to 2016 were linked with Medicaid claims. Preexisting T2DM was determined by three diagnosis claims for T2DM with at least one claim prior to breast cancer diagnosis and a prescription claim for an antidiabetic drug within three months following breast cancer diagnosis. Estimated menopausal status was determined by age (premenopausal age <50; postmenopausal age ≥50). Hazard ratios (HR) and 95 % confidence intervals (95 %CI) were calculated with Cox proportional hazards regression, adjusting for confounders.

RESULTS

Women with preexisting T2DM had greater all-cause (HR = 1.40; 95 %CI 1.21, 1.63), cancer-specific (HR = 1.24; 95 %CI 1.04, 1.47), and cardiovascular-specific (HR = 2.46; 95 %CI 1.54, 3.90) mortality hazard compared to nondiabetic women. In subgroup analyses, the association between T2DM and all-cause mortality was found among non-Hispanic White (HR 1.78 95 %CI 1.38, 2.30) and postmenopausal (HR = 1.47; 95 %CI 1.23, 1.77) women, but not among other race/ethnicity groups or premenopausal women. Additionally, compared to women prescribed metformin, all-cause mortality hazard was elevated among women prescribed sulfonylurea (HR = 1.44; 95 %CI 1.06, 1.94) or insulin (HR = 1.54; 95 %CI 1.12, 2.11).

CONCLUSION

Among Medicaid-insured women with breast cancer, those with preexisting T2DM have an increased mortality hazard, especially when prescribed sulfonylurea or insulin. Further research is warranted to determine the role antidiabetic drugs have on survival among women with breast cancer.

Interactions between dietary habits and home environmental exposures on respiratory symptoms in Romanian school children: an analysis of data from the SINPHONIE project

In this study, we investigated the interactions between household pollutants and dietary habits on children's respiratory health. Our cross-sectional study collected self-reported information including health symptoms (allergy-like, asthma-like, and flu-like symptoms), home characteristics, dietary habits, and demographic information from questionnaires administered to parents of 280 school children in Romania. Unconditional logistic regression and stratified analyses were used to assess the interactions between dietary factors and environmental exposures on health symptoms among children, controlling for sociodemographic characteristics and co-exposures. We found that frequency of fruit consumption had significant interaction with residing near heavy traffic on allergy-like symptoms among children (p = 0.036). However, no association was observed by frequency of fruit consumption. Although no significant interaction was observed, we found that students with infrequent fruit consumption and residing near heavy traffic roads had elevated odds of asthma-like (POR 6.37; 95% CI 1.22, 33.29) and flu-like symptoms (POR 3.75; 95% CI 1.12, 11.86) than those who frequently consumed fruits. Likewise, low vegetable consumption was associated with increased asthma-like symptoms (POR 2.93; 95% CI 1.04, 8.24). Increased odds of asthma-like symptoms were observed among school children that resided near heavy traffic roads and frequently consumed milk (POR 2.80; 95% CI 1.24, 6.31) and yoghurt (POR 2.86; 95% CI 1.05, 7.75) compared to those that infrequently consumed dairy. Our findings suggest that frequent fruit and vegetable consumption may mitigate the negative effects of exposure to heavy traffic near dwelling on respiratory symptoms in Romanian children.

How community vulnerability factors jointly affect multiple health outcomes after catastrophic storms

BACKGROUND

While previous studies uncovered individual vulnerabilities to health risks during catastrophic storms, few evaluated the population vulnerability which is more important for identifying areas in greatest need of intervention.

OBJECTIVES

We assessed the association between community factors and multiple health outcomes, and developed a community vulnerability index.

METHODS

We retained emergency department visits for several health conditions from the 2005-2014 New York Statewide Planning and Research Cooperative System. We developed distributed lag nonlinear models at each spatial cluster across eight counties in downstate New York to evaluate the health risk associated with Superstorm Sandy (10/28/2012-11/9/2012) compared to the same period in other years, then defined census tracts in clusters with an elevated risk as "risk-elevated communities", and all others as "unelevated". We used machine-learning techniques to regress the risk elevation status against community factors to determine the contribution of each factor on population vulnerability, and developed a community vulnerability index (CVI).

RESULTS

Overall, community factors had positive contributions to increased community vulnerabilities to Sandy-related substance abuse (91.35%), injuries (70.51%), cardiovascular diseases (8.01%), and mental disorders (2.71%) but reversely contributed to respiratory diseases (-34.73%). The contribution of low per capita income (max: 22.08%), the percentage of residents living in group quarters (max: 31.39%), the percentage of areas prone to flooding (max: 38.45%), and the percentage of green coverage (max: 29.73%) tended to be larger than other factors. The CVI based on these factors achieved an accuracy of 0.73-0.90 across outcomes.

CONCLUSIONS

Our findings suggested that substance abuse was the most sensitive disease susceptible to less optimal community indicators, whereas respiratory diseases were higher in communities with better social environment. The percentage of residents in group quarters and areas prone to flooding were among dominant predictors for community vulnerabilities. The CVI based on these factors has an appropriate predictive performance.

Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population

Objectives

To estimate the relationship between sleep quality and depression, among Han and Manchu ethnicities, in a rural Chinese population.

Methods

A sample of 8,888 adults was selected using a multistage cluster and random sampling method. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Depressive symptoms were assessed via the Center for Epidemiological Survey, Depression Scale (CES-D). Logistic regression was conducted to assess associations between sleep quality and depression.

Results

The prevalence of poor sleep quality and depression in the Manchus (20.74% and 22.65%) was significantly lower than that in the Hans (29.57% and 26.25%), respectively. Depressive participants had higher odds ratios of global and all sub PSQI elements than non-depressive participants, both among the Hans and the Manchus. Additive interactions were identified between depressive symptoms and ethnicity with global and four sub-PSQI elements, including subjective sleep quality, sleep disturbance, use of sleep medication and daytime dysfunction.

Conclusions

The findings revealed that the prevalence of poor sleep quality and depression among the Hans was greater than among the Manchus. Depression was associated with higher odds of poor sleep quality.

Do multiple environmental factors impact four cancers in women in the contiguous United States?

BACKGROUND

Though there has been an increasing concern about the effects that environmental exposures have on cancer, limited knowledge exists regarding multiple environmental factors on cancers in women.

METHODS

We performed a spatial autoregressive model to examine the association between the Environmental Quality Index (EQI) and mortalities of four cancers in women (breast, cervical, ovarian and uterine cancer) based on county-level data, and explored these associations by urbanicity. The EQI, which included five domains (air, water, land, built environment and sociodemographic domain) estimated from 2000 to 2005 data, was obtained from the United States Environmental Protection Agency. The mortality rates for 3107 counties in the US in 2014 were obtained from the Institute for Health Metrics and Evaluation.

RESULTS

We found that each unit increase in the overall EQI was positively associated with the increased mortality of breast, ovarian and uterine cancer (2.5%, 3.6% and 3.1% respectively), but was negatively associated with cervical cancer mortality. Among the environmental domains, the air and sociodemographic EQIs were positively associated with increased risks of breast, ovarian and uterine cancers. Additionally, built environment EQI was associated with breast and ovarian cancers; land EQI was associated with uterine and ovarian cancers. The sociodemographic EQI was negatively associated with cervical cancer mortality. Furthermore, we have developed a novel Environmental Quality Health Index (EQHI) in identifying environment-health risk of cancers in women at county level.

CONCLUSIONS

Our findings suggest that breast, ovarian, and uterine cancer mortalities are positively associated with multiple environmental factors, while cervical cancer mortality is mainly negatively associated with sociodemographic factors. The novel EQHI might help identify spatially-based environment-cancer risk.

The effects of excess degree-hours on mortality in Guangzhou, China

BACKGROUND

Prior studies that examined the association between temperature and mortality relied on mean temperature, maximum temperature, minimum temperature, humidex, and daily temperature variability, not accounting for variations in hourly temperature throughout the day. We proposed an indicator, excess degree-hours, to examine the association between temperature and mortality.

METHODS

A distributed lag non-linear model (DLNM) was used to determine the hot (27.8 °C) and cold (24.3 °C) threshold. Hourly temperature in Guangzhou, China were summarized with extreme heat expressed as sum of degree-hours >27.8 °C and extreme cold as sum of degree-hours <24.3 °C within one day from January 1, 2012 to December 31, 2015. We then estimated the associations of daily mortality with hot and cold degree-hours in both hot and cold season. We also calculated the mortality burden of excess degree-hours.

RESULTS

An interquartile range (IQR) increase of hot degree-hours was associated with 2.11% (95% confidence interval [95% CI]: 1.25%, 2.98%), 3.74% (95% CI: 0.71%, 6.86%), and 2.63% (95% CI: 0.70%, 4.59%) increments in non-injury related death, respiratory mortality, and cardiovascular mortality, respectively. While the corresponding excess risk for an IQR increase of cold degree-hours was 2.42% (95% CI: 1.97%, 2.88%), 3.16% (95% CI: 2.57%, 3.76%), and 2.93% (95% CI: 1.98%, 3.88%). The estimated mortality burdens for hot and cold degree-hours were 1366,2465, respectively.

CONCLUSION

The excess degree-hours reduced to a single indication in duration and intensity is an approach and shows a different perspective and significant extreme weather effects on human health.

Clinical features and survival outcomes between ascending and descending types of nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data intelligence platform-based analysis

PURPOSE

To compare clinical features and survival outcomes in patients with ascending type (type A) and descending type (type D) nasopharyngeal carcinoma (NPC) in the intensity-modulated radiotherapy (IMRT) era.

MATERIALS AND METHODS

A total of 5194 patients with type A and type D NPC treated at Sun Yat-sen University Cancer Center were randomly selected. Tumors that were mainly advanced local disease (T3-4 stage) with early stage cervical lymph node involvement (N0-1 stage) were determined as type A, while tumors with advanced lymph node disease (N2-3 stage) but early stage local invasion (T1-2 stage) were classified as type D NPC. Kaplan-Meier's analysis was used to evaluate survival rates, and log-rank test survival curves were used for comparison. In the multivariate analysis Cox proportional hazard models were developed.

RESULTS

There was a larger proportion of type A tumors (82%) than type D tumors (18%). Compared to patients with type A tumors, those with type D tumors had increased likelihood of distant metastasis, regional recurrence, disease recurrence, and death (P < 0.001 for all), however, not for local recurrence (P < 0.001). The HR (hazard ratio) for death following recurrence of disease for type D tumors were 1.6 compared to type A tumors. Multivariate analysis revealed that elevated EBV DNA, elevated lactate dehydrogenase, alcohol consumption, and no family history of cancer attributed to the development of type D tumors. Annual hazard rate in type A patients increased, peaking at 12-18 months after initial treatment and downward thereafter. Similar trend also occurred in type D during the first 5 years following treatment. Notably, a minor peak was also observed 7-8 years post treatment.

CONCLUSIONS

In the IMRT era, recurrence patterns differed across tumor types. Type D NPC had a more aggressive clinical course and worse outcomes compared with type A NPC.

Do all patients with advanced N-stage nasopharyngeal carcinoma benefit from the addition of induction chemotherapy to concurrent chemoradiotherapy?

Background

The aim of this study was to evaluate the benefits from the addition of induction chemotherapy (IC) to concurrent chemoradiotherapy (CCRT) in N2-3 nasopharyngeal carcinoma (NPC).

Methods

A total of 3089 patients with nonmetastatic NPC, staged as N2-3 were retrospectively reviewed. IC contained cisplatin (80 mg/m²) with 5-fluorouracil (800 mg/m²/day over 120 h), or cisplatin (80 mg/m²) with docetaxel (80 mg/m²), or cisplatin (60 mg/m²) with 5-fluorouracil (600 mg/m² over 120 h), and docetaxel (60 mg/m²) administered at 3-week intervals for two or three cycles. Concurrent chemotherapy consisted of cisplatin (80 or 100 mg/m²) given in weeks 1, 4, and 7 of radiotherapy, or cisplatin (40 mg/m²) given weekly during radiotherapy. Overall, three well-matched risk groups (low, intermediate, and high risk) were created using propensity score matching, and IC plus CCRT was compared with CCRT in each risk group. Our primary endpoint was distant metastasis-free survival (DMFS).

Results

A nomogram for DMFS was established with good prognostic accuracy (C-index, 0.69; 95% confidence interval, 0.64-0.73). The survival curves for low, intermediate, and high-risk groups stratified by the nomogram were significantly different between all three risk groups, with corresponding 5-year DMFS rates of 90.7%, 79.4%, and 64.9%, respectively (p < 0.001). IC plus CCRT was significantly associated with superior DMFS as compared with CCRT alone (69.5% versus 56.7%, p = 0.004) in the high-risk group. However, no significant difference between IC plus CCRT and CCRT was observed (p = 0.831 and 0.608, respectively) in the intermediate and low-risk groups.

Conclusions

Our findings can help accurately guide the treatment of individual patients with advanced N-stage NPC.

Interactions between climate factors and air pollution on daily HFMD cases: A time series study in Guangdong, China

BACKGROUND

Prior studies have shown that climate factors and air pollution are associated with hand, foot, and mouth disease (HFMD) epidemics. However, the interaction between air pollution and climate factors remains unknown.

METHODS

Daily HFMD counts from 2009 through 2012 in Guangdong were collected. We used distributed lag non-linear models to assess the associations of climate factors and air pollution on HFMD cases. The effects of climate factors were stratified by air pollution stratum to examine the interaction effect of air quality index (AQI) and temperature, as well as relative humidity. In addition, we explored the variability across gender groups.

RESULTS

We observed associations between HFMD cases and environmental factors, including temperature, relative humidity, and AQI. The highest relative risks (RR) were observed at the middle level of temperature and AQI, and high level of relative humidity. The effects for the interaction between AQI and climate factors on HFMD cases were also statistically observed. Compared with low level temperatures (≤23.5 °C), high level temperatures (>23.5 °C) had a RR of 1.486 (95%CI: 1.469,1.503) on days with "good" air quality (AQI ≤ 46), and RR of 1.013 (95%CI: 1.003,1.023) on days with "moderate" air quality (AQI > 46). For relative humidity, the high level (>77%) had a RR of 1.082 (95%CI: 1.076,1.089) on days with "good" air quality, and RR of 1.039 (95%CI: 1.033,1.046) on days with "moderate" air quality. The associations and the interactions remained robust for males and females.

CONCLUSIONS

Our findings indicate that climate factors and air pollution imposed lagged and non-linear effects on HFMD epidemics. The effects of climate factors on health potentially vary by AQI. Our study is practical and useful for targeted prevention and control, and provides environmental-based evidence.

Prognostic value of neutrophil-to-lymphocyte ratio in advanced nasopharyngeal carcinoma: a large institution-based cohort study from an endemic area

Background

Findings remain unclear whether neutrophil-to-lymphocyte ratio (NLR) detrimentally affects advanced nasopharyngeal carcinoma (NPC) prognosis. We aim to evaluate the prognostic value of NLR in patients with NPC based on a large-scale cohort from an endemic area.

Methods

We selected patients retrospectively from a cohort examining long-term cancer outcomes following diagnosis. Neutrophil counts and lymphocyte counts were assessed prior to treatment. Kaplan–Meier method and log-rank test were used to calculate and compare survival outcomes. Additionally, Cox proportional hazards model was utilized to carry out univariate and multivariate analyses.

Results

Between October 2009 and August 2012, we enrolled 1550 consecutive NPC patients staged II-IVB. The median value of NLR was 2.27 (interquartile range [IQR], 1.71–3.12). Determined by operating characteristic curve using overall survival (OS) as an endpoint, the cutoff value for NLR was 2.50. At 5 years, NLR > 2.50 was associated with inferior OS (90.3% vs 82.5%; P < 0.001), distant metastasis-free survival (DMFS, 89.4% vs 85.0%; P = 0.014), and progression-free survival (PFS, 80.9% vs 76.5%; P = 0.031) than NLR ≤2.50. In multivariate analysis, NLR was found to be a significant prognostic factor for OS (HR, 1.72; 95% CI, 131–2.24; P < 0.001), DMFS (HR, 1.45; 95% CI, 1.10–1.92; P = 0.009), and PFS (HR, 1.29; 95% CI, 1.04–1.59; P = 0.021).

Conclusion

Pretreatment NLR independently affects survival. Our findings suggest that NLR measurements will be of great clinical significance in the management of NPC.

Efficacy and safety of primary surgery with postoperative radiotherapy in head and neck mucosal melanoma: a single-arm Phase II study

Background

There still remains no well-established treatment strategy for head and neck mucosal melanoma (HNMM). We aim to evaluate the effectiveness and safety of primary surgery with postoperative radiotherapy for this disease.

Patients and methods

A single-arm, Phase II clinical trial was conducted at Sun Yat-Sen University Cancer Center. Patients with nonmetastatic, histologically proven HNMM were prospectively enrolled. Patients received primary surgery followed by intensity-modulated radiotherapy with an equivalent dose at 2 Gy per fraction of 65–70 Gy to CTV1 (high-risk regions including tumor bed) and 50–55 Gy to CTV2 (low-risk regions). Additional use of adjuvant chemotherapy (AC) depended on consultation from a multidisciplinary team. This trial is registered with ClinicalTrials.gov, number NCT03138642.

Results

A total of 33 patients were enrolled and analyzed between July 2010 and November 2016. There were 18 (54.5%) patients with T3 disease and 15 (45.5%) patients with T4a disease. The median age at diagnosis was 58 years (range 27–83 years), and 61% of the cohort were males. The overall median follow-up duration was 25.3 months (range 5.3–67.1 months). The 3-year overall survival (OS), local relapse-free survival (LRFS), regional relapse-free survival (RRFS), and distant metastasis-free survival (DMFS) rates were 44.4, 91.7, 78.1, and 41.7%, respectively. Patients with T4a disease showed significantly inferior OS (P=0.049) and DMFS (P=0.040) than those with T3 disease. Prophylactic neck radiation (PNR) was nearly associated with superior RRFS (P=0.078). However, there was no significant difference in OS, LRFS, RRFS, and DMFS for patients treated with or without AC (P>0.05 for all). Toxicities were generally mild to moderate.

Conclusion

Primary surgery with postoperative radiotherapy yielded excellent local control and acceptable toxicity profile for HNMM. Nevertheless, high rates of distant metastases resulted in limited survival.

Survival impact of radiotherapy interruption in nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data intelligence platform-based analysis

PURPOSE

To evaluate the effect of radiotherapy interruption (RTI) in patients with nasopharyngeal carcinoma (NPC) receiving intensity-modulated radiotherapy (IMRT).

PATIENTS AND METHODS

A total of 7826 patients using the well-established big-data intelligence platform were identified. Computer-generated random numbers were used to assign these patients into a training cohort (n = 3913 patients) and an internal validation cohort (n = 3913 patients). RTI was defined as the difference between radiation treatment time and planned radiation time (assuming a Monday start). Survival analysis was performed using the Kaplan-Meier method for survival, and log-rank test to evaluate difference. Optimal RTI threshold was identified using the recursive partitioning analyses (RPAs). Multivariate analysis was performed using the Weibull model. The primary endpoint was overall survival (OS).

RESULTS

The optimal threshold of RTI with respect to OS in the training cohort was 6.5 d based on RPAs. Therefore, a uniform threshold of 7 d (<7 vs. ≥7 d) was selected to classify both training and validation cohorts into high and low RTI groups for survival analysis. RTI of ≥7 d showed significant detrimental effects on OS in both training (5-y OS, 82.4% vs 86.5%; P = 0.001) and validation cohorts (5-y OS, 85.2% vs 86.7%; P = 0.013) than those patients with RTI of <7 d. Consistent with results of the univariate analysis, RTI of ≥7 d was found to be an independent unfavorable prognostic factor for OS in both training (HR, 1.49; 95% CI, 1.14-1.95; P = 0.003) and validation cohort (HR, 1.37; 95% CI, 1.07-1.65; P = 0.031). Subgroup analysis showed that RTI of ≥7 d had significant adverse effects on prognosis of NPC patients receiving IMRT, regardless of TNM stage and chemotherapy (P < 0.05 for all).

CONCLUSIONS

In the IMRT era, RTI independently influences survival. Raising RTI ≥ 7 d was consistently unfavorable for NPC survival. Medical practitioners must remind patients on the importance of minimizing RT interruptions.

Are the current thresholds, indicators, and time window for cold warning effective enough to protect cardiovascular health?

More extreme cold weather and larger weather variations have raised concerns regarding their effects on public health. Although prior studies assessed the effects of cold air temperature on health, especially mortality, limited studies evaluated wind chill temperatures on morbidity, and health effects under the current cold warning threshold. This study identified the thresholds, lag periods, and best indicators of extreme cold on cardiovascular disease (CVD) by comparing effects of wind chill temperatures and cold air temperatures on CVD emergency department (ED) visits in winter and winter transition months. Information was collected on 662,625 CVD ED visits from statewide hospital discharge dataset in New York State. Meteorological factors, including air temperature, wind speed, and barometric pressure were collected from National Oceanic and Atmospheric Administration. A case-crossover approach was used to assess the extreme cold-CVD relationship in winter (December-February) and transition months (November and March) after controlling for PM_2.5. Conditional logistic regression models were employed to analyze the association between cold weather factors and CVD ED visits. We observed CVD effects occurred when wind chill temperatures were as high as -3.8 °C (25 °F), warmer than current wind chill warning standard (≤-28.8 °C or ≤-20 °F). Wind chill temperature was a more sensitive indicator of CVD ED visits during winter with temperatures ≤ -3.8 °C (25 °F) with delay effect (lag 6); however, air temperature was better during transition months for temperatures ≤ 7.2 °C (45 °F) at earlier lag days (1-3). Among all CVD subtypes, hypertension ED visit had the strongest negative association with both wind chill temperature and air temperature. This study recommends modifying the current cold warning temperature threshold given larger proportions of CVD cases are occurring at considerably higher temperatures than the current criteria. We also recommend issuing cold warnings in winter transitional months.

Bayesian spatiotemporal analysis for association of environmental factors with hand, foot, and mouth disease in Guangdong, China

Hand, foot, and mouth disease (HFMD) remains a significant public health and economic burden in parts of China, particularly Guangdong Province. Although the association between meteorological factors and HFMD has been well documented, significant gaps remain in our understanding of the potential impact of environmental factors. Using county-level monthly HFMD data from China CDC and environmental data from multiple sources, we used spatiotemporal Bayesian models to evaluate the association between HFMD and environmental factors including vegetation index, proportion of artificial surface, road capacity, temperature and humidity, and assessed the spatial and temporal dynamic of the association. Statistically significant correlation coefficients from -0.056 to 0.36 (all P < 0.05) were found between HFMD incidence and all environmental factors. The contributions of these factors for HFMD incidence were estimated to be 16.32%, 12.31%, 14.61%, 13.53%, and 2.63%. All environmental factors including vegetation index (Relative Risk: 0.889; Credible Interval: 0.883-0.895), artificial surface (1.028; 1.022-1.034), road capacity (1.033; 1.028-1.038), temperature (1.039; 1.028-1.05), and relative humidity (1.015; 1.01-1.021) were statistically retained in the final spatiotemporal model. More comprehensive environmental factors were identified as associating with HFMD incidence. Taking these environmental factors into consideration for prevention and control strategy might be of great practical significance.

Comparing treatment outcomes of concurrent chemoradiotherapy with or without nimotuzumab in patients with locoregionally advanced nasopharyngeal carcinoma

Purpose: The benefits of additional use of nimotuzumab (NTZ) in the treatment of locoregionally advanced nasopharyngeal carcinoma (LA-NPC) is largely unclear. We aim to compare LA-NPC treatment outcomes in patients that received CCRT with nimotuzumab (NTZ) to patients that received CCRT only. Materials and Methods: Between October 2009 and January 2012, 31 previously untreated and newly diagnosed LA-NPC patients were administered CCRT (3 cycles of 100 mg/m2 cisplatin every third week with intensity-modulated radiotherapy) plus NTZ according to an IRB-approved institutional research protocol. A well-balanced cohort of 62 patients who received CCRT alone was created by matching each patient who received CCRT plus NTZ via propensity-matched analysis in a 2:1 ratio. Results: Compared with CCRT only, CCRT plus NTZ was significantly associated with superior overall survival (5-year OS; 96.8% vs. 82.3%; P = 0.001), superior distant metastasis-free survival (5-year DMFS; 90.3% vs. 80.6%, P = 0.012) and superior progression-free survival (5-year PFS; 83.9% vs. 71.0%, P = 0.006). In multivariate analysis, the inclusion of NTZ to CCRT was confirmed to be a favorable factor for OS (HR, 0.31; 95% CI, 0.02-0.71; P = 0.027), DMFS (HR, 0.45; 95% CI, 0.13-0.77; P = 0.034), and PFS (HR, 0.38; 95% CI, 0.11-0.89; P = 0.041). In addition, no significant differences in hematology parameters, dermatitis, nausea, vomiting, xerostomia, nephrotoxicity or neurotoxicity were found between the two arms (all P > 0.05). Conclusion: The inclusion of NTZ to CCRT is more effective for long-term survival among LA-NPC patients than CCRT only.

Prognostic Value of Circulating Lipoprotein in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma

BACKGROUND/AIMS

Lipoproteins have been reported to be associated with prognosis in various cancers; however, the prognostic value of lipoproteins in patients with nasopharyngeal carcinoma (NPC) remains largely unknown. We aim to asses the role of circulating lipoproteins in locoregionally advanced NPC patients.

METHODS

Between October 2009 and August 2012, a total of 1,081 patients with stage III-IVB NPC were included in the analysis. Circulating high-density lipoprotein (HDL) and low-density lipoprotein (LDL) are the two key lipoproteins, which were measured at baseline. Receiver operating characteristic (ROC) curve analysis was used to evaluate different cut-off points for lipoproteins. Actuarial rates were performed using Kaplan-Meier methods and the log-rank test.

RESULTS

The cutoff points of HDL, LDL, and LDL/HDL ratio were 1.17 mmol/L, 3.75 mmol/L, and 2.73, respectively. At 5 years, high HDL (> 1.17 mmol/L) was significantly associated with better overall survival (OS, 86.6% vs. 78.9%; P=0.004), distant metastasis-free survival (DMFS, 86.9% vs. 80.8%; P=0.004), locoregional relapse-free survival (LRFS, 90.8% vs. 85.4%; P=0.010), and progression-free survival (PFS, 79.1% vs. 70.2%; P= 0.001) than low HDL (≤1.17 mmol/L). In contrast, high LDL (> 3.75 mmol/L) tend to be inferior OS (79.1% vs. 84.9%; P= 0.016) in compassion with low LDL (≤3.75 mmol/L). Likewise, patients with high LDL/HDL ratio (> 2.73) tend to be inferior OS (79.3% vs. 86.9%; P=0.001), DMFS (81.9% vs. 86.5%; P=0.030), and PFS (72.6% vs. 77.8%; P= 0.034) than those of low LDL/HDL ratio (≤2.73). In multivariate analysis, baseline HDL was found to be a significant prognostic factor for LRFS (HR= 0.65; 95% CI, 0.45-0.93; P= 0.019) and PFS (HR=0.75; 95% CI, 0.58-0.98; P= 0.034).

CONCLUSIONS

Circulating HDL is significantly associated with treatment outcomes in patients with locoregionally advanced NPC. We suggest that HDL measurements will be of great clinical significance in the management of NPC.

Pet exposure in utero and postnatal decreases the effects of air pollutants on hypertension in children: A large population based cohort study

The effect of ambient air pollution exposure on childhood hypertension has emerged as a concern in China, and previous studies suggested pet ownership is associated with lower blood pressure (BP). However, limited information exists on the interactive effects pet ownership and air pollution exposure has on hypertension. We investigated the interactions between exposure to pet ownership and air pollutants on hypertension in Chinese children. 9354 students in twenty-four elementary and middle schools (aged 5-17 years) in Northeastern China were evaluated during 2012-2013. Four-year average concentrations of particulate matter with aerodynamic diameter of ≤10 μm (PM₁₀), SO₂, NO₂, and O₃, were collected in the 24 districts from 2009 to 2012. Hypertension was defined as average diastolic or systolic BP (three time measurements) in the 95th percentile or higher based on height, age, and sex. To examine effects, two-level regression analysis was used, controlling covariates. Consistent interactions between exposure to pet and air pollutants were observed. Compared to children exposed to pet, those not exposed exhibited consistently stronger effects of air pollution. The highest odds ratios (ORs) per 30.6 μg/m³ increase in PM₁₀ were 1.79 (95%confidence interval [95%CI]: 1.29-2.50) in children without current pet exposure compared to 1.24 (95%CI: 0.85-1.82) in children with current pet exposure. As for BP, only O₃ had an interaction for all exposure to pet ownership types, and showed lower BP in children exposed to pet. The increases in mean diastolic BP per 46.3 μg/m³ increase in O₃ were 0.60  mmHg (95%CI: 0.21, 0.48) in children without pet exposure in utero compared with 0.34  mmHg (95%CI: 0.21, 0.48) in their counterparts. When stratified by age, pet exposure was more protective among younger children. In conclusion, in this large population-based cohort, pet ownership is associated with smaller associations between air pollution and hypertension in children, suggesting pet ownership reduces susceptibility to the health effects of pollutants.

Prognostic value of serum bilirubin in southern Chinese patients with advanced nasopharyngeal carcinoma

BACKGROUND

We evaluated the prognostic value of serum bilirubin in advanced nasopharyngeal carcinoma (NPC) patients.

METHODS

Seven-hundred fifty-nine advanced NPC patients treated with definitive chemoradiotherapy were retrospectively analyzed. Serum indirect bilirubin (IBIL) and direct bilirubin (DBIL) were measured before treatment. To evaluate different cutoff points for serum bilirubin, we utilized ROC curves. The Kaplan-Meier method and log-rank test were adopted to calculate and compare survival outcomes. Cox proportional hazard models were used to perform univariate and multivariate analyses.

RESULTS

At 5 y, IBIL >7.15 μmol/l were significantly associated with superior progression-free survival (PFS, 83.6% vs 70.3%; P < .001), overall survival (OS, 88.6% vs 80.5%; P = .012), distant metastasis-free survival (DMFS, 90.3% vs 82.8%; P = .006), and locoregional relapse-free survival (LRFS, 92.1% vs 86.4%; P = .048) than IBIL ≤7.15 μmol/l. Similarly, patients with DBIL >2.65 μmol/l had better prognosis across all outcomes than those of patients with DBIL ≤2.65 μmol/l (all P < .05), except no difference was observed in LRFS (90.5% vs. 87.3%, P = .195). Multivariate analyses showed that IBIL >7.15 μmol/l was an independent protective prognostic factor for PFS (HR, 0.57; 95% CI, 0.40-0.81; P = .002), OS (HR, 0.67; 95% CI, 0.43-0.92; P = .041), and DMFS (HR, 0.63; 95% CI, 0.40-0.98; P = .034); while serum DBIL only remained significant for PFS (HR, 0.63; 95% CI, 0.44-0.89; P = .009).

CONCLUSIONS

Pretreatment IBIL and DBIL are potentially independent prognostic factors for patients with advanced NPC.

Evidence from SINPHONIE project: Impact of home environmental exposures on respiratory health among school-age children in Romania

BACKGROUND

Exposure to indoor air pollutants at home was found to be associated with respiratory diseases. As lifestyle changes with rapid economic growth in Romania, the aim of our study is to describe the characteristics of Romanian homes and their impact on children's respiratory health.

METHODS

Self-reported information on respiratory symptoms was collected from 280 Romanian elementary school students in 2011, and the symptoms were categorized into allergy, asthma-like, and flu-like symptoms. Home characteristics and demographic information were collected from questionnaires answered by parents. The association between home characteristics and respiratory health was assessed through multivariate logistic regression controlling for school indoor exposure.

RESULTS

As compared to U.S. households, Romanian homes have a higher percentage of smokers, limited use of indoor climate control, and higher use of iron stoves. Exposure to environmental tobacco smoke was associated with both asthma and allergy symptoms. Additional risk factors identified for allergy symptoms include living in apartments, near pesticide sprayed areas, and the use of incense sticks. The significantly higher risk of flu-like symptoms was associated with mold and dampness issues, the use of air conditioner, gas heater/iron stove in children's bedroom.

CONCLUSION

Our findings suggest that an increase in respiratory symptoms among Romanian school-age children can be partly related to their environmental exposure at home. Since most of the identified risk factors are preventable, our results provide critical information and evidence for policymakers, to develop target intervention and education strategies.

The Characteristics and Survival Outcomes in Patients Aged 70 Years and Older with Nasopharyngeal Carcinoma in the Intensity-Modulated Radiotherapy Era

Purpose

We aim to examine nasopharyngeal carcinoma (NPC) characteristics and survival outcomes in patients aged 70 years and older in the intensity-modulated radiotherapy (IMRT) era.

Materials and Methods

From 2006 to 2013, 126 non-metastatic NPC patients aged ≥ 70 years who were treated with IMRT +/‒ chemotherapy were included. Adult Comorbidity Evaluation 27 (ACE-27) was used to measure patient comorbidities. The overall survival (OS) and cancer-specific survival (CSS)were calculatedwith the Kaplan-Meier method, and differenceswere compared using the log-rank test. The Cox proportional hazards model was used to carry out multivariate analyses.

Results

For the entire group, only two patients (1.6%) presented stage I disease, and up to 84.1% patients had stage III-IVB disease. All patients had a comorbidity score of 0 in 24 (19.0%), 1 in 45 (35.7%), 2 in 42 (33.3%), and 3 in 15 (11.9%) patients. The main acute grade during radiotherapy was 3-4 adverse events consisting of mucositis (25.4%), bone marrow suppression (16.7%), and dermatitis (8.7%). After treatment, four patients (3.2%) developed temporal lobe injury. Five-year CSS and OS rates were 67.3% (95% confidence interval [CI], 58.6% to 77.4%) and 54.0% (95% CI, 45.6% to 63.9%), respectively. Five-year OS was significantly higher for ACE-27 score 0-1 than ACE-27 score 2-3 (72.9% and 39.9%, respectively; p < 0.001). Multivariate analyses showed ACE-27 score 0-1 was significantly associated with superior OS (hazard ratio [HR], 3.02; 95% CI, 1.64 to 5.55; p < 0.001). In addition, the rate of OS was higher for stage I-III than that of stage IV, with borderline significance (HR, 1.67; 95% CI, 0.99 to 2.82; p=0.053). But no significant advantage was observed in OS when chemotherapy was used (p > 0.05).

Conclusion

Our findings suggest IMRT +/– chemotherapy has a manageable toxicity and provides an acceptable survival in patients aged ≥ 70 years with NPC. ACE-27 score was significantly associated with survival outcomes in this group population.