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Participation in physical activity (PA) during and after cancer treatment is safe and beneficial in the adolescent and young adult (AYA) cancer population. PA can positively impact health-related outcomes; however, participation remains low. This systematic review aims to describe PA intervention characteristics and outcomes in AYA survivors of cancer (AYASCa). This review followed Preferred Reporting Index for Systematic Reviews and Meta Analyses (PRISMA) guidelines and was registered with Prospero (CRD42022365661). PubMed, CINAHL, and Scopus databases were searched for randomized control trials (RCTs) and pre/post-test studies without a control group through December 31, 2022. Data included: participant demographics, PA intervention characteristics, and health-related outcomes. Studies were assessed using the National Institute of Health Critical Appraisal Tools, and findings were synthesized to identify common characteristics of PA interventions and outcomes. Twenty-three studies were included: 15 RCTs and 8 pre/post-test studies. Heterogeneity existed across design, sample demographics, intervention timing, and observed outcomes. The most common characteristics of PA interventions were supervision of PA, wearable device use, tailored/individualized PA prescriptions, and goal setting. PA interventions positively affected health-related outcomes, with 21 studies reporting statistically significant findings. Implementing personalized PA prescriptions, utilizing wearable devices, and incorporating goal setting as characteristics in PA interventions hold potential benefits for AYASCa, leading to improved outcomes. Still, additional research is needed to explore interventions that utilize these PA characteristics and determine which ones are most effective for AYASCa. By further investigating and identifying optimal PA characteristics, interventions can be better tailored to meet this population's specific needs and preferences, ultimately enhancing their overall well-being and recovery.

Purpose:When a cancer diagnosis coincides with caring for children, it may influence the financial impacts of cancer and decisions to pursue advance care planning (ACP) or genetic testing. We examined associations between caring for children and financial hardship, ACP, and genetic testing among female adolescent and young adult (AYA) cancer survivors in North Carolina and California.Methods:Participants were diagnosed at ages 15–39 years with breast, melanoma, gynecologic, lymphoma, or thyroid cancer during 2004–2016. We estimated adjusted prevalence differences (aPDs) and ratios (aPRs) for each outcome by child caring status using marginal structural binomial regression models.Results:Among 1595 women ages 19–54 years at survey (median = 7 years since diagnosis), 819 (51.3%) reported that they were caring for children at diagnosis. Women caring for children had a higher prevalence of material financial hardship (e.g., medical debt; 30% vs. 21.9%; aPD = 9%, 95% confidence interval [CI]: 3 to 14; aPR = 1.39, 95% CI: 1.12 to 1.72) but similar levels of psychological financial hardship compared to noncaregivers. Women caring for children were more likely to complete ACPs (42.2% vs. 30.7%; aPD = 9%, 95% CI: 3 to 16; aPR = 1.30, 95% CI: 1.08 to 1.57). Among the 723 survivors of breast, endometrial, and ovarian cancer, the prevalence of genetic testing was higher among women caring for children (89%) than noncaregivers (81%); this difference was not statistically significant.Conclusion:Women caring for children at diagnosis may be at elevated risk for adverse financial outcomes and may benefit from additional financial navigation support. Childcare responsibilities may further complicate health decision-making for AYAs diagnosed with cancer.

As the proportion of births conceived with assisted reproductive technology (ART) continues to increase, a growing body of literature continues to examine the risks involved such as the higher risk of birth defects. Recently, several studies have suggested that ART-conceived children may have a greater risk of childhood cancer.This population-based cohort study aimed to evaluate the risk of childhood cancer as a function of birth defect status and method of conception. Data were obtained from the Society for Assisted Reproductive Technology Clinic Outcome Reporting System, birth certificates (2004–2013), birth defect registries, and cancer registries in 4 states. The Society for Assisted Reproductive Technology Clinic Outcome Reporting System contains comprehensive information on ART procedures from 86% of all clinics and more than 92% of all ART cycles in the United States. Assisted reproductive technology cycles reported from January 2004 to December 2017 that resulted in live births were included in this study. For each ART-conceived delivery, the subsequent 10 deliveries were selected as the non-ART comparison group, and siblings of each ART birth were selected as the ART sibling group. The ART group was divided into 4 subgroups based on the combination of oocyte source (autologous or donor) and embryo state (fresh or thawed). A host of independent variables with established associations on birth defects, cancer, and/or ART were selected a priori for inclusion in statistical models.The total study population included 165,125 ART-conceived children, 31,524 non-ART siblings, 12,451 children born as a result of infertility treatment without ART (ovulation induction/intrauterine insemination [OI/IUI]), and 1,353,440 naturally conceived children. A total of 29,571 singleton children (2.0%) and 3753 twin children (3.5%) had a major birth defect. Compared with naturally conceived children, risks for defects were increased for all other groups for nonchromosomal (adjusted odds ratios [AORs] ranged from 1.20 to 1.24, except for donor-fresh), blastogenesis (AORs, 1.22–1.74), cardiovascular (AORs, 1.04–1.26), gastrointestinal (AORs, 1.28–2.01), musculoskeletal (AORs, 1.10–1.48), and genitourinary among male children (AORs, 1.15–1.40, except for donor-fresh). Orofacial defects were increased in the OI/IUI and autologous-fresh and autologous-thawed groups (AORs, 1.26–1.42). The risk of any cancer was increased among ART autologous-fresh and non-ART siblings (hazard ratios [HRs], 1.31 and 1.34, respectively). A total of 127 children had both birth defects and cancer, with 53 (42%) of these children having leukemia. A Cox proportional hazards regression model identified 2 components for the risk of cancer: method of conception and type and number of birth defects. The presence of chromosomal defects was strongly associated with cancer risk (HRs, 8.70 for all cancers and 21.90 for leukemia), and this was further increased in the presence of both chromosomal and nonchromosomal defects (HRs, 21.29 for all cancers, 64.83 for leukemia, and 4.71 for embryonal tumors).The results of this study demonstrate that compared with naturally conceived children a significantly increased risk of nonchromosomal birth defects was found among children conceived with infertility treatment and that the risk of cancer was increased by greater than 30% among non-ART siblings and ART children born from autologous-fresh cycles. Among both naturally conceived and ART-conceived children, the presence of birth defects was associated with a greater risk of cancer.

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It is hypothesized that certain chemicals in personal care products may alter the risk of adverse health outcomes. The primary aim of this study was to use a data-centered approach to classify complex patterns of exposure to personal care products and to understand how these patterns vary according to use of exogenous hormone exposures, oral contraceptives (OCs) and post-menopausal hormone therapy (HT). The NIEHS Sister Study is a prospective cohort study of 50,884 US women. Limiting the sample to non-Hispanic blacks and whites (N=47,019), latent class analysis (LCA) was used to identify groups of individuals with similar patterns of personal care product use based on responses to 48 survey questions. Personal care products were categorized into three product types (beauty, hair, and skincare products) and separate latent classes were constructed for each type. Adjusted prevalence differences (PD) were calculated to estimate the association between exogenous hormone use, as measured by ever/never OC or HT use, and patterns of personal care product use. LCA reduced data dimensionality by grouping of individuals with similar patterns of personal care product use into mutually exclusive latent classes (three latent classes for beauty product use, three for hair, and four for skin care. There were strong differences in personal care usage by race, particularly for haircare products. For both blacks and whites, exogenous hormone exposures were associated with higher levels of product use, especially beauty and skincare products. Relative to individual product use questions, latent class variables capture complex patterns of personal care product usage. These patterns differed by race and were associated with ever OC and HT use. Future studies should consider personal care product exposures with other exogenous exposures when modeling health risks.

IMPORTANCE: Cancer diagnosis and treatment may adversely affect reproductive outcomes among female cancer survivors. OBJECTIVE: To compare the birth outcomes of adolescent and young adult cancer survivors (AYA [diagnosed at ages 15-39 years]) with those of women without a cancer diagnosis. DESIGN, SETTING, AND PARTICIPANTS: The North Carolina Central Cancer Registry (CCR) was used to identify female AYA cancer survivors diagnosed from January 2000 to December 2013; CCR records were linked to statewide birth certificate files from January 2000 to December 2014 to identify postdiagnosis live births to AYA survivors (n = 2598). A comparison cohort of births to women without a recorded cancer diagnosis was randomly selected from birth certificate files (n = 12 990) with frequency matching on maternal age and year of delivery. MAIN OUTCOMES AND MEASURES: Prevalence of preterm birth, low birth weight, small-for-gestational-age births, cesarean delivery, and low Apgar score. RESULTS: Overall, 2598 births to AYA cancer survivors (mean [SD] maternal age, 31 [5] years) were included. Births to AYA cancer survivors had a significantly increased prevalence of preterm birth (prevalence ratio [PR], 1.52; 95% CI, 1.34-1.71), low birth weight (PR, 1.59; 95% CI, 1.38-1.83), and cesarean delivery (PR, 1.08; 95% CI, 1.01-1.14) relative to the comparison cohort of 1299. The higher prevalence of these outcomes was most concentrated among births to women diagnosed during pregnancy. Other factors associated with preterm birth and low birth weight included treatment with chemotherapy and a diagnosis of breast cancer, non-Hodgkin lymphoma, or gynecologic cancers. The prevalence of small-for-gestational-age births and low Apgar score (<7) did not differ significantly between groups. CONCLUSIONS AND RELEVANCE: Live births to AYA cancer survivors may have an increased risk of preterm birth and low birth weight, suggesting that additional surveillance of pregnancies in this population is warranted. Our findings may inform the reproductive counseling of female AYA cancer survivors.

Purpose:Adolescents and young adult (AYA) cancer survivors (15–39 years at diagnosis) are at risk for treatment-related late effects but face barriers in accessing survivorship care. We examined the prevalence of five health care access (HCA) barriers: affordability, accessibility, availability, accommodation, and acceptability.Methods:We identified AYA survivors from the University of North Carolina (UNC) Cancer Survivorship Cohort who completed a baseline questionnaire in 2010–2016. Participants had a history of cancer, were ≥18 years of age, and receiving care at a UNC oncology clinic. The sample was restricted to AYA survivors who were interviewed ≥1 year postdiagnosis. We used modified Poisson regression to estimate prevalence ratios (PRs) for the association between HCA barriers and self-reported fair or poor health, adjusted for sociodemographic and cancer characteristics.Results:The sample included 146 AYA survivors who were a median age of 39 at the time of the survey. The majority (71%)—and 92% of non-Hispanic Black survivors—reported at least one HCA barrier, including acceptability (40%), accommodation (38%), or affordability (31%). More than one-quarter of survivors (28%) reported fair or poor health. Affordability barriers (PR: 1.89, 95% confidence interval [CI]: 1.13–3.18) and acceptability barriers (PR: 1.60, 95% CI: 0.96–2.66) were associated with a higher prevalence of fair/poor health, as were the cumulative effects of multiple HCA dimensions reported as barriers.Conclusions:Barriers across multiple HCA dimensions were prevalent and associated with worse health in AYA survivors. Findings highlight the need to better understand and target specific barriers to care for diverse AYA survivors to improve their long-term health.

Early life risk factors for breast cancer have been investigated in relation to hormonal, nutritional, infectious, and genetic hypotheses. Recent studies have also considered potential health effects associated with exposure to environmental contaminants in breastmilk.

(Abstracted from Hum Reprod2019;34:1965–1973)Metabolic demands of pregnancy result in physiological systematic changes and increases in oxidative stress to the mother that may accelerate senescence and biological aging. Epigenetic clocks are a new tool designed to estimate biological age beyond measurement of telomeres alone and may provide more robust estimates for the impact of pregnancy on biological age.

IMPORTANCE: Heart disease and cancer are the 2 major diseases associated with mortality risk in the United States. Four decades of improvements in heart disease mortality slowed after 2011; this slowing has been associated with the obesity epidemic. The same pattern has not been observed for total cancer mortality. However, trends in total cancer mortality may obscure patterns specific to obesity-associated cancers. OBJECTIVE: To investigate whether trends in obesity-associated cancer mortality mirror the slowed mortality improvements observed for heart disease associated with the obesity epidemic. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study compared US mortality trends for International Statistical Classification of Diseases and Related Health Problems, Tenth Revision–defined cancer (total cancer, obesity-associated cancer, and cancer not associated with obesity) and heart disease deaths from January 1, 1999, to December 31, 2018. Data were included on decedents with complete information on the underlying cause of death, age, sex, race, and ethnicity. EXPOSURES: Changes in age-adjusted cause-specific mortality rates between 1999-2011 and 2011-2018 were compared. MAIN OUTCOMES AND MEASURES: Annual relative rates of change in age-adjusted mortality rates (AAMRs) in the overall population and stratified by sex, race, and ethnicity were estimated using Poisson regression. Differences in AAMR annual relative rates of change before and after 2011 were evaluated using Wald tests. RESULTS: A total of 50?163?483 decedents met the inclusion criteria (50.1% female decedents, 79.9% non-Hispanic White decedents, and 11.7% non-Hispanic Black decedents; mean [SD] age, 72.8 [18.5] years). In contrast with heart disease mortality, for which improvements slowed between 1999-2011 and 2011-2018, decreases in total cancer AAMR relative change accelerated between 1999-2011 (-1.48 [95% CI, -1.43 to -1.52]) and 2011-2018 (-1.77 [95% CI, -1.67 to -1.86]) (P?<?.001). For obesity-associated cancer mortality, which accounted for approximately 33% of total cancer deaths annually, decreases in annual AAMR relative change decelerated from -1.19 (95% CI, -1.13 to -1.26) in 1999-2011 to -0.83 (95% CI, -0.70 to -0.96) in 2011-2018 (P?<?.001). The largest decelerations in obesity-associated cancer mortality were observed for female decedents (–1.45 [95% CI, –1.36 to –1.53] in 1999-2011 and –0.91 [95% CI, –0.75 to –1.07] in 2011-2018; P?<?.001) and non-Hispanic White individuals (–1.16 [95% CI, –1.09 to –1.22] in 1999-2011 and –0.68 [95% CI, –0.55 to –0.81] in 2011-2018; P?<?.001). CONCLUSIONS AND RELEVANCE: Slowing improvements in obesity-associated cancer mortality were obscured when considering total cancer mortality. These findings potentially signal a changing profile of cancer-associated mortality that may parallel trends previously observed for heart disease as the consequences of the obesity epidemic are understood.

IMPORTANCE: The association between increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and risk of breast cancer is unique in cancer epidemiology in that a crossover effect exists, with risk reduction before and risk increase after menopause. The inverse association with premenopausal breast cancer risk is poorly characterized but might be important in the understanding of breast cancer causation. OBJECTIVE: To investigate the association of BMI with premenopausal breast cancer risk, in particular by age at BMI, attained age, risk factors for breast cancer, and tumor characteristics. DESIGN, SETTING, AND PARTICIPANTS: This multicenter analysis used pooled individual-level data from 758 592 premenopausal women from 19 prospective cohorts to estimate hazard ratios (HRs) of premenopausal breast cancer in association with BMI from ages 18 through 54 years using Cox proportional hazards regression analysis. Median follow-up was 9.3 years (interquartile range, 4.9-13.5 years) per participant, with 13 082 incident cases of breast cancer. Participants were recruited from January 1, 1963, through December 31, 2013, and data were analyzed from September 1, 2013, through December 31, 2017. EXPOSURES: Body mass index at ages 18 to 24, 25 to 34, 35 to 44, and 45 to 54 years. MAIN OUTCOMES AND MEASURES: Invasive or in situ premenopausal breast cancer. RESULTS: Among the 758 592 premenopausal women (median age, 40.6 years; interquartile range, 35.2-45.5 years) included in the analysis, inverse linear associations of BMI with breast cancer risk were found that were stronger for BMI at ages 18 to 24 years (HR per 5 kg/m2 [5.0-U] difference, 0.77; 95% CI, 0.73-0.80) than for BMI at ages 45 to 54 years (HR per 5.0-U difference, 0.88; 95% CI, 0.86-0.91). The inverse associations were observed even among nonoverweight women. There was a 4.2-fold risk gradient between the highest and lowest BMI categories (BMI≥35.0 vs <17.0) at ages 18 to 24 years (HR, 0.24; 95% CI, 0.14-0.40). Hazard ratios did not appreciably vary by attained age or between strata of other breast cancer risk factors. Associations were stronger for estrogen receptor–positive and/or progesterone receptor–positive than for hormone receptor–negative breast cancer for BMI at every age group (eg, for BMI at age 18 to 24 years: HR per 5.0-U difference for estrogen receptor–positive and progesterone receptor–positive tumors, 0.76 [95% CI, 0.70-0.81] vs hormone receptor–negative tumors, 0.85 [95% CI: 0.76-0.95]); BMI at ages 25 to 54 years was not consistently associated with triple-negative or hormone receptor–negative breast cancer overall. CONCLUSIONS AND RELEVANCE: The results of this study suggest that increased adiposity is associated with a reduced risk of premenopausal breast cancer at a greater magnitude than previously shown and across the entire distribution of BMI. The strongest associations of risk were observed for BMI in early adulthood. Understanding the biological mechanisms underlying these associations could have important preventive potential.