Early-life risk factors for breast cancer - prospective follow-up in the Northern Finland Birth Cohort 1966

Abstract Purpose This study aims to identify the prenatal and early life predictors of adolescence sleep problems. Methods Sleep data (n = 5081) from the 14-year (13.92 ± 0.34 years) follow-up of a birth cohort were analyzed to explore the predictors of adolescence trouble sleeping, nightmares, snoring and sleep talking/walking. Data from the antenatal period till adolescence were explored for identifying predictors of adolescence sleep problems. Modified Poisson regression with a robust error variance was used to identify significant predictors. Results Our results suggest that about a quarter of adolescents in our study sample had sleep maintenance problems (nightmares: 27.88%, snoring: 23.20%, sleepwalking/talking 27.72%). The prevalence rate of sleep initiation problems was even higher (trouble sleeping: 40.61%). Our results suggest that antenatal and early-life factors, e.g. maternal smoking, anxiety, sleep problems in childhood, attention deficit hyperactivity disorder (ADHD) symptoms, and poor health are significant predictors of adolescence sleep problems. Conclusions This study demonstrates the predictive role of prenatal and early life risk factors in adolescence sleep problems. It seems that exposure to prenatal and early life risk factors increase the vulnerability for sleep problems later in life, which is further supported by poor health and lifestyle choices in adolescence. Therefore, close observation and mitigation of factors associated with early life risk factors could be a potential strategy for preventing sleep problems later in life.

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1459Socioeconomic position influence on the early-life individual exposome in the Italian NINFEA birth cohort

International Journal of Epidemiology ◽

10.1093/ije/dyab168.536 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

Costanza Pizzi ◽

Chiara Moccia ◽

Giovenale Moirano ◽

Antonio d'Errico ◽

Milena Maule ◽

...

Keyword(s):

Risk Factors ◽

Urban Environment ◽

Birth Cohort ◽

Environmental Risk ◽

Early Life ◽

Diversity Index ◽

Hierarchical Cluster ◽

Environmental Risk Factors ◽

Birth Cohorts ◽

Exposure Pattern

Abstract Background Early exposure to unhealthy lifestyles and environmental risk factors is known to affect health throughout the life-course. There is also evidence that the exposure patterns are influenced by the socioeconomic position (SEP). Methods We use the data of the Turin participants of the Italian NINFEA birth cohort (n∼2500) to study how family SEP drives the early life exposome. SEP at birth is measured through the EHII (Equivalized Household Income Indicator), while the exposome includes urban environment, diet and lifestyle exposures measured during infancy. We use standard regression models to evaluate the effect of EHII on each exposome variable accounting for multiple comparison and potential confounders (Drivers-Exposome Wide Association Study – DExWAS) and the hierarchical clustering on the principal components approach to identify groups with similar exposure pattern. Results The DExWAS show that low EHII is associated with lower consumption of fruit and vegetables, lower levels of NO2, building and facilities densities, traffic, walkability and connectivity index, higher land-use diversity index, and higher exposure to pets. The hierarchical cluster analysis identifies three groups, with subjects belonging to the cluster characterized by higher level of urban environment risk factors and a healthier diet having a higher mean EHII. Conclusions These SEP-early life exposome analyses will be replicated in several European birth cohorts participating in the H2020 ATHLETE and LifeCycle projects. Key messages In the Italian city of Turin children from low SEP family are exposed to higher levels of environmental risk factors and unhealthy lifestyles during infancy.

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Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort

BMC Medicine ◽

10.1186/s12916-020-01642-6 ◽

2020 ◽

Vol 18 (1) ◽

Author(s):

Yuanqing Fu ◽

Wanglong Gou ◽

Wensheng Hu ◽

Yingying Mao ◽

Yunyi Tian ◽

...

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Childhood Obesity ◽

Birth Cohort ◽

Preterm Infants ◽

Early Life ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Interpretable Machine Learning ◽

Prospective Birth Cohort

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Association of Cardiovascular Risk Factors With Cardiac Events and Survival Outcomes Among Patients With Breast Cancer Enrolled in SWOG Clinical Trials

Journal of Clinical Oncology ◽

10.1200/jco.2017.77.4414 ◽

2018 ◽

Vol 36 (26) ◽

pp. 2710-2717 ◽

Cited By ~ 21

Author(s):

Dawn L. Hershman ◽

Cathee Till ◽

Sherry Shen ◽

Jason D. Wright ◽

Scott D. Ramsey ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Cardiovascular Disease ◽

Overall Survival ◽

Clinical Trials ◽

Survival Outcomes ◽

Cardiac Events ◽

Free Survival ◽

Increased Risk

Background Cardiovascular disease is the primary cause of death among patients with breast cancer. However, the association of cardiovascular-disease risk factors (CVD-RFs) with long-term survival and cardiac events is not well studied. Methods We examined SWOG (formerly the Southwest Oncology Group) breast cancer trials from 1999 to 2011. We identified baseline diabetes, hypertension, hypercholesterolemia, and coronary artery disease by linking trial records to Medicare claims. The primary outcome was overall survival. Patients with both baseline and follow-up claims were examined for cardiac events. Cox regression was used to assess the association between CVD-RFs and outcomes. Results We identified 1,460 participants older than 66 years of age from five trials; 842 were eligible for survival outcomes analysis. At baseline, median age was 70 years, and median follow-up was 6 years. Hypertension (73%) and hypercholesterolemia (57%) were the most prevalent conditions; 87% of patients had one or more CVD-RF. There was no association between any of the individual CVD-RFs and overall survival except for hypercholesterolemia, which was associated with improved overall survival (hazard ratio [HR], 0.73; 95% CI, 0.57 to 0.93; P = .01). With each additional CVD-RF, there was an increased risk of death (HR, 1.23; 95% CI, 1.08 to 1.40; P = .002), worse progression-free survival (HR, 1.12; 95% CI, 1.00 to 1.25; P = .05), and marginally worse cancer-free survival (HR, 1.15; 95% CI, 0.99 to 1.34; P = .07). The relationship between baseline CVD-RFs and cardiac events was analyzed in 736 patients. A strong linear association between the number of CVD-RFs and cardiac event was observed (HR per CVD-RF, 1.41; 95% CI, 1.17 to 1.69; P < .001). Conclusion Among participants in clinical trials, each additional baseline CVD-RF was associated with an increased risk of cardiac events and death. Efforts to improve control of modifiable CVD-RFs are needed, especially among those with multiple risk factors.

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Impact of Screening and Risk Factors for Local Recurrence and Survival After Conservative Surgery and Radiotherapy for Early Breast Cancer: Results From a Large Series With Long-Term Follow-Up

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2011.08.018 ◽

2012 ◽

Vol 83 (3) ◽

pp. 829-838 ◽

Cited By ~ 17

Author(s):

Ian H. Kunkler ◽

Gillian R. Kerr ◽

Jeremy S. Thomas ◽

Wilma J.L. Jack ◽

John M.S. Bartlett ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Local Recurrence ◽

Early Breast Cancer ◽

Conservative Surgery ◽

Large Series ◽

Long Term Follow Up

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Exploring the risk factors for early‐life sugar consumption: a birth cohort study

International Journal of Paediatric Dentistry ◽

10.1111/ipd.12713 ◽

2020 ◽

Author(s):

Carlos Alberto Feldens ◽

Márcia Regina Vítolo ◽

Renata Rocha Maciel ◽

Paola Seffrin Baratto ◽

Priscila Humbert Rodrigues ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Birth Cohort ◽

Early Life ◽

Birth Cohort Study ◽

Sugar Consumption

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Distinctive lung function trajectories from age 10 to 26 years in men and women and associated early life risk factors – a birth cohort study

Respiratory Research ◽

10.1186/s12931-019-1068-0 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 7

Author(s):

Wilfried Karmaus ◽

Nandini Mukherjee ◽

Vimala Devi Janjanam ◽

Su Chen ◽

Hongmei Zhang ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Lung Function ◽

Birth Cohort ◽

Early Life ◽

Birth Cohort Study ◽

Men And Women

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Prenatal and childhood antecedents of suicide: 50-year follow-up of the 1958 British Birth Cohort Study

Psychological Medicine ◽

10.1017/s003329171300189x ◽

2013 ◽

Vol 44 (6) ◽

pp. 1245-1256 ◽

Cited By ~ 24

Author(s):

M.-C. Geoffroy ◽

D. Gunnell ◽

C. Power

Keyword(s):

Risk Factors ◽

Birth Cohort ◽

Social Services ◽

Institutional Care ◽

Birth Cohort Study ◽

Cox Proportional Hazard ◽

Cox Proportional Hazard Models ◽

Childhood Antecedents

BackgroundWe aimed to elucidate early antecedents of suicide including possible mediation by early child development.MethodUsing the 1958 birth cohort, based on British births in March 1958, individuals were followed up to adulthood. We used data collected at birth and at age 7 years from various informants. Suicides occurring up to 31 May 2009 were identified from linked national death certificates. Multivariable Cox proportional hazard models were used to investigate risk factors.ResultsAltogether 12399 participants (n = 44 suicides) had complete data. The strongest prenatal risk factors for suicide were: birth order, with risk increasing in later-born children [ptrend = 0.063, adjusted hazard ratio (HR)], e.g. for fourth- or later-born children [HR = 2.27, 95% confidence interval (CI) 0.90–5.75]; young maternal age (HR = 1.18, 95% CI 0.34–4.13 for ⩽19 years and HR = 0.41, 95% CI 0.19–0.91 for >29 years, ptrend = 0.034); and low (<2.5 kg) birth weight (HR = 2.48, 95% CI 1.03–5.95). The strongest risk factors at 7 years were externalizing problems in males (HR = 2.96, 95% CI 1.03–8.47, ptrend = 0.050) and number of emotional adversities (i.e. parental death, neglected appearance, domestic tension, institutional care, contact with social services, parental divorce/separation and bullying) for which there was a graded association with risk of suicide (ptrend = 0.033); the highest (HR = 3.12, 95% CI 1.01–9.62) was for persons with three or more adversities.ConclusionsRisk factors recorded at birth and at 7 years may influence an individual's long-term risk of suicide, suggesting that trajectories leading to suicide have roots in early life. Some factors are amenable to intervention, but for others a better understanding of causal mechanisms may provide new insights for intervention to reduce suicide risk.

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