A comparison of the cumulative incidence and early risk factors for psychotic disorder in young adults in the Northern Finland Birth Cohorts 1966 and 1986

Aims.Few studies have compared time trends for the incidence of psychosis. To date, the results have been inconsistent, showing a decline, an increase or no significant change. As far as we know, no studies explored changes in prevalence of early risk factors. The aim of this study was to investigate differences in early risk factors and cumulative incidences of psychosis by type of psychosis in two comparable birth cohorts.Methods.The Northern Finland Birth cohorts (NFBCs) 1966 (N = 12 058) and 1986 (N = 9432) are prospective general population-based cohorts with the children followed since mother's mid-pregnancy. The data for psychoses, i.e. schizophrenia (narrow, spectrum), bipolar disorder with psychotic features, major depressive episode with psychotic features, brief psychosis and other psychoses (ICD 8–10) were collected from nationwide registers including both inpatients and outpatients. The data on early risk factors including sex and place of birth of the offspring, parental age and psychosis, maternal education at birth were prospectively collected from the population registers. The follow-up reached until the age of 27 years.Results.An increase in the cumulative incidence of all psychoses was seen (1.01% in NFBC 1966 v. 1.90% in NFBC 1986; p < 0.001), which was due to an increase in diagnosed affective and other psychoses. Earlier onset of cases and relatively more psychoses in women were observed in the NFBC 1986. Changes in prevalence of potential early risk factors were identified, but only parental psychosis was a significant predictor in both cohorts (hazard ratios ≥3.0; 95% CI 1.86–4.88). The difference in psychosis incidence was not dependent on changes in prevalence of studied early risk factors.Conclusions.Surprisingly, increase in the cumulative incidence of psychosis and also changes in the types of psychoses were found between two birth cohorts 20 years apart. The observed differences could be due to real changes in incidence or they can be attributable to changes in diagnostic practices, or to early psychosis detection and treatment.

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Early Risk Factors for Mental Retardation: Role of Maternal Age and Maternal Education

American Journal on Mental Retardation ◽

10.1352/0895-8017(2002)107<0046:erffmr>2.0.co;2 ◽

2002 ◽

Vol 107 (1) ◽

pp. 46 ◽

Cited By ~ 38

Author(s):

Derek A. Chapman ◽

Keith G. Scott ◽

Craig A. Mason

Keyword(s):

Risk Factors ◽

Mental Retardation ◽

Maternal Age ◽

Maternal Education ◽

Early Risk ◽

Early Risk Factors

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Early risk factors for postpartum depression: A longitudinal Japanese population-based study

Journal of Affective Disorders ◽

10.1016/j.jad.2020.03.026 ◽

2020 ◽

Vol 269 ◽

pp. 148-153 ◽

Cited By ~ 2

Author(s):

Mami Nakano ◽

Andre Sourander ◽

Terhi Luntamo ◽

Roshan Chudal ◽

Norbert Skokauskas ◽

...

Keyword(s):

Risk Factors ◽

Postpartum Depression ◽

Japanese Population ◽

Population Based ◽

Population Based Study ◽

Early Risk ◽

Early Risk Factors

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Comparison of risk factors for ischemic stroke and coronary events in a population-based cohort

BMC Cardiovascular Disorders ◽

10.1186/s12872-021-02344-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Iram Faqir Muhammad ◽

Yan Borné ◽

Suneela Zaigham ◽

Martin Söderholm ◽

Linda Johnson ◽

...

Keyword(s):

Risk Factors ◽

Ischemic Stroke ◽

Inflammatory Markers ◽

Cox Regression ◽

Population Based ◽

Cox Regression Analysis ◽

Hazard Ratios ◽

The Difference ◽

Coronary Events ◽

Traditional Risk Factors

Abstract Background Although coronary events (CE) and ischemic stroke share many risk factors, there are also some important differences. The aim of this paper was to assess the association of risk factors in relation to incident CE and ischemic stroke and to evaluate the heterogeneity in patterns of risk factors between the two outcomes. Method Traditional risk factors and inflammatory markers associated with coronary events and ischemic stroke were measured in the Malmö Diet and Cancer Cohort (MDCS, n = 26 519), where a total of 2270 incident ischemic stroke and 3087 incident CE occurred during a mean follow up time 19 ± 6 years, and in relation to inflammatory markers in the cardiovascular sub-cohort (MDC-CV, n = 4795). Cox regression analysis was used to obtain hazard ratios. A modified Lunn-McNeil competing risk analysis was conducted to assess the significance of any differences in risk profiles of these outcomes. Results Most cardiovascular risk factors were associated both with incident CE and ischemic stroke. However, current smoking, ApoB, low ApoA1, male sex and education level of ≤ 9 years of schooling were preferentially associated with CE compared to ischemic stroke. Conversely, age showed a stronger association with ischemic stroke than with CE. Conclusion CE and ischemic stroke have broadly similar risk factors profiles. However, there are some important differential associations, as well as substantial differences in the magnitude of the association. These could reflect the distinct biology of atherogenesis in different vascular beds. The difference in the determinants highlights the importance of looking at CE and ischemic stroke, two manifestations of cardiovascular disease, separately.

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09 - Early Risk factors for Postpartum Depression: a longitudinal population based study from Japan

10.26226/morressier.5d1a038357558b317a140c8f ◽

2019 ◽

Author(s):

Hitoshi Kaneko ◽

Mami Nakano

Keyword(s):

Risk Factors ◽

Postpartum Depression ◽

Population Based ◽

Population Based Study ◽

Early Risk ◽

Early Risk Factors

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The natural history of severe asthma and influences of early risk factors: a population-based cohort study

Thorax ◽

10.1136/thoraxjnl-2015-207530 ◽

2016 ◽

Vol 71 (3) ◽

pp. 267-275 ◽

Cited By ~ 25

Author(s):

Wenjia Chen ◽

Carlo A Marra ◽

Larry D Lynd ◽

J Mark FitzGerald ◽

Zafar Zafari ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Natural History ◽

Severe Asthma ◽

Population Based ◽

Early Risk ◽

Early Risk Factors ◽

History Of

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The pathway to special education: The role of early risk factors in disability identification

PsycEXTRA Dataset ◽

10.1037/e569872014-001 ◽

2014 ◽

Author(s):

Whitney A. Leboeuf ◽

Benjamin Brumley ◽

John W. Fantuzzo ◽

Cody A. Hostutler

Keyword(s):

Risk Factors ◽

Special Education ◽

Early Risk ◽

Early Risk Factors ◽

Disability Identification

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POS0210 THE INCIDENCE AND RISK FACTORS OF RHEUMATOID ARTHRITIS-ASSOCIATED INTERSTITIAL LUNG DISEASE

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.2183 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 322-322

Author(s):

B. Samhouri ◽

R. Vassallo ◽

S. Achenbach ◽

V. Kronzer ◽

J. M. Davis ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Risk Factors ◽

Interstitial Lung Disease ◽

Lung Disease ◽

Cumulative Incidence ◽

Population Based ◽

Competing Risk ◽

Olmsted County ◽

Research Support ◽

Risk Of Death

Background:Rheumatoid arthritis (RA) is a systemic inflammatory disease of the joints and other organs, including the lungs.1 Interstitial lung disease (ILD) is a lung injury pattern associated with significant symptom burden and poor outcomes in RA.2 Better understanding of its risk factors could help with disease prevention and treatment.Objectives:Using a population-based cohort, we sought to ascertain the incidence and risk factors of RA-associated ILD (RA-ILD) in recent years.Methods:The study included adult residents of Olmsted County, Minnesota with incident RA between 1999 and 2014 based on the 1987 ACR classification criteria.3 Study subjects were followed until death, migration, or 4/30/2019. ILD was defined by the presence of bilateral interstitial fibrotic changes (excluding biapical scarring) on chest computed tomography (CT). In the absence of chest CT imaging, a physician’s diagnosis of ILD in conjunction with chest X-ray findings suggestive of ILD and a restrictive pattern on pulmonary function testing (defined as a total lung capacity less than the lower limit of normal) was considered diagnostic of ILD. Evaluated risk factors included age, sex, calendar year, smoking status, body mass index (BMI) and presence/absence of rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). Cumulative incidence of ILD was adjusted for the competing risk of death. Cox models were used to assess the association between potential risk factors and the development of RA-ILD.Results:In Olmsted County, 645 residents were diagnosed with RA between 1999 and 2014. Seventy percent of patients were females, and 30% were males; median age at RA diagnosis was 55.3 [IQR 44.1-66.6] years, and most patients (89%) were white. Fifty-three percent of patients were never-smokers, and 64% had seropositive RA. Forty percent were obese (i.e., BMI ≥30 kg/m2); median BMI was 28.3 [IQR 24.3-33.0] kg/m2.In the cohort, ILD was identified in 73 patients. The ILD diagnosis predated RA diagnosis in 22 patients (3.4%) who were excluded from subsequent analyses. Final analyses included the remaining 623 patients with no ILD preceding, or at the time of RA diagnosis. Over a median follow-up interval of 10.2 [IQR 6.5-14.3] years, 51 patients developed ILD. Cumulative incidence of ILD, adjusted for the competing risk of death, was 4.3% at 5 years; 7.8% at 10 years; 9.4% at 15 years; and 12.3% at 20 years after RA diagnosis (Figure 1).Age, and history of smoking at RA diagnosis correlated with the incidence of ILD; adjusted hazard ratios (HRs) were 1.89 per 10-year increase in age (95% confidence interval 1.52-2.34) and 1.94 (95% confidence interval 1.10-3.42), respectively. On the other hand, sex (HR: 1.21; 95% CI: 0.68-2.17), BMI (HR: 0.99; 95% CI: 0.95-1.04), obesity (HR: 0.89; 95% CI: 0.50-1.58), and seropositivity (HR: 1.15; 95% CI: 0.65-2.03) did not demonstrate significant associations with ILD.Conclusion:This study provides a contemporary estimate of the occurrence of ILD in a well-characterized population-based cohort of patients with RA. Our findings of a lack of association between sex, obesity and seropositivity with ILD may indicate a change in established risk factors for ILD and warrant further investigation.References:[1]Shaw M, Collins BF, Ho LA, Raghu G. Rheumatoid arthritis-associated lung disease. Eur Respir Rev. 2015;24(135):1-16. doi:10.1183/09059180.00008014[2]Bongartz T, Nannini C, Medina-Velasquez YF, et al. Incidence and mortality of interstitial lung disease in rheumatoid arthritis - A population-based study. Arthritis Rheum. 2010;62(6):1583-1591. doi:10.1002/art.27405[3]Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569-2581. doi:10.1002/art.27584Figure 1.Cumulative incidence of ILD in patients diagnosed with RA between 1999 and 2014, adjusted for the competing risk of death. Abbreviations. ILD: interstitial lung disease; RA: rheumatoid arthritis.Disclosure of Interests:Bilal Samhouri: None declared, Robert Vassallo Grant/research support from: Research grants from Pfizer, Sun Pharmaceuticals and Bristol Myers Squibb, Sara Achenbach: None declared, Vanessa Kronzer: None declared, John M Davis III Grant/research support from: Research grant from Pfizer., Elena Myasoedova: None declared, Cynthia S. Crowson: None declared

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Systemic sclerosis portends increased risk of conduction and rhythm abnormalities at diagnosis and during disease course: A US population-based cohort

Journal of Scleroderma and Related Disorders ◽

10.1177/23971983211034074 ◽

2021 ◽

pp. 239719832110340

Author(s):

Yasser A Radwan ◽

Reto D Kurmann ◽

Avneek S Sandhu ◽

Edward A El-Am ◽

Cynthia S Crowson ◽

...

Keyword(s):

Risk Factors ◽

Pulmonary Hypertension ◽

Systemic Sclerosis ◽

Confidence Interval ◽

Cumulative Incidence ◽

Disease Onset ◽

Population Based ◽

Hazard Ratio ◽

Conduction Disorders ◽

Increased Risk

Objectives: To study the incidence, risk factors, and outcomes of conduction and rhythm disorders in a population-based cohort of patients with systemic sclerosis versus nonsystemic sclerosis comparators. Methods: An incident cohort of patients with systemic sclerosis (1980–2016) from Olmsted County, MN, was compared to age- and sex-matched nonsystemic sclerosis subjects (1:2). Electrocardiograms, Holter electrocardiograms, and a need for cardiac interventions were reviewed to determine the occurrence of any conduction or rhythm abnormalities. Results: Seventy-eight incident systemic sclerosis cases and 156 comparators were identified (mean age 56 years, 91% female). The prevalence of any conduction disorder before systemic sclerosis diagnosis compared to nonsystemic sclerosis subjects was 15% versus 7% ( p = 0.06), and any rhythm disorder was 18% versus 13% ( p = 0.33). During a median follow-up of 10.5 years in patients with systemic sclerosis and 13.0 years in nonsystemic sclerosis comparators, conduction disorders developed in 25 patients with systemic sclerosis with cumulative incidence of 20.5% (95% confidence interval: 12.4%–34.1%) versus 28 nonsystemic sclerosis patients with cumulative incidence of 10.4% (95% confidence interval: 6.2%–17.4%) (hazard ratio: 2.57; 95% confidence interval: 1.48–4.45), while rhythm disorders developed in 27 patients with systemic sclerosis with cumulative incidence of 27.3% (95% confidence interval: 17.9%–41.6%) versus 43 nonsystemic sclerosis patients with cumulative incidence of 18.0% (95% confidence interval: 12.3%–26.4%) (hazard ratio: 1.62; 95% confidence interval: 1.00–2.64). Age, pulmonary hypertension, and smoking were identified as risk factors. Conclusion: Patients with systemic sclerosis have an increased risk of conduction and rhythm disorders both at disease onset and over time, compared to nonsystemic sclerosis patients. These findings warrant increased vigilance and screening for electrocardiogram abnormalities in systemic sclerosis patients with pulmonary hypertension.

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Early Risk Factors for Obesity in the First 1000 Days—Relationship with Body Fat and BMI at 2 Years

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18158179 ◽

2021 ◽

Vol 18 (15) ◽

pp. 8179

Author(s):

Mercedes Díaz-Rodríguez ◽

Celia Pérez-Muñoz ◽

Jesús Carretero-Bravo ◽

Catalina Ruíz-Ruíz ◽

Manuel Serrano-Santamaría ◽

...

Keyword(s):

Risk Factors ◽

Weight Gain ◽

Body Fat ◽

Early Pregnancy ◽

Body Fat Percentage ◽

Z Score ◽

Fat Percentage ◽

Early Risk ◽

Early Risk Factors ◽

Increased Risk

(1) Background: Obesity is defined as an excessive accumulation of body fat. Several early developmental factors have been identified which are associated with an increased risk of childhood obesity and increased adiposity in childhood. The primary objective of the present study is to analyse the effect of various early risk factors on Body Mass Index (BMI) and body fat percentage at 2 years of age. (2) Methods: A prospective cohort study design was used, with the sample consisting of 109 mother-child pairs from whom data were collected between early pregnancy and 2 years old. Adiposity was determined based on skinfold measurements using the Brooks and Siri formulae. Mean comparison tests (Student’s t-test and ANOVAs) and multiple linear regression models were used to analyse the relationship between early programming factors and dependent variables. (3) Results: Maternal excess weight during early pregnancy (β = 0.203, p = 0.026), gestational smoking (β = 0.192, p = 0.036), and accelerated weight gain in the first 2 years (β = − 0.269, p = 0.004) were significantly associated with high body fat percentage. Pre-pregnancy BMI and accelerated weight gain in the first 2 years were associated with high BMI z-score (β = 0.174, p = 0.047 and β = 0.417, p = 0.000 respectively). The cumulative effect of these variables resulted in high values compared to the baseline zero-factor group, with significant differences in BMI z-score (F = 8.640, p = 0.000) and body fat percentage (F = 5.402, p = 0.002) when three factors were present. (4) Conclusions: The presence of several early risk factors related to obesity in infancy was significantly associated with higher BMI z-score and body fat percentage at 2 years of age. The presence of more than one of these variables was also associated with higher adiposity at 2 years of age. Early prevention strategies should address as many of these factors as possible.

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