Mid- and Long-Term Effects of Family Constellation Seminars in a General Population Sample: 8- and 12-Month Follow-Up

2014 ◽  
Vol 54 (2) ◽  
pp. 344-358 ◽  
Author(s):  
Christina Hunger ◽  
Jan Weinhold ◽  
Annette Bornhäuser ◽  
Leoni Link ◽  
Jochen Schweitzer
Keyword(s):  
General Population ◽  
Population Sample ◽  
General Population Sample ◽  
Long Term Effects ◽  
Family Constellation

scholarly journals Exogenous female sex steroids may reduce lung ageing after menopause: A 20-year follow-up study of a general population sample (ECRHS)

Maturitas ◽  
2019 ◽  
Vol 120 ◽  
pp. 29-34 ◽  
Author(s):  
Kai Triebner ◽  
Simone Accordini ◽  
Lucia Calciano ◽  
Ane Johannessen ◽  
Bryndís Benediktsdóttir ◽  
...  
Keyword(s):  
General Population ◽  
Sex Steroids ◽  
Population Sample ◽  
General Population Sample ◽  
Follow Up Study ◽  
Female Sex

Changes in the prevalence of psychiatric disorder in a community are related to changes in the mean level of psychiatric symptoms

1996 ◽  
Vol 26 (6) ◽  
pp. 1253-1260 ◽  
Author(s):  
Joyce E. Whittington ◽  
Felicia A. Huppert
Keyword(s):  
General Population ◽  
Psychiatric Disorder ◽  
Psychiatric Symptoms ◽  
Population Sample ◽  
General Population Sample ◽  
Cross Sectional ◽  
The Mean ◽  
First Time ◽  
The Relationship

SynopsisThe paper of Anderson et al. (1993), based on cross-sectional data, showed that minor psychiatric disorder in a population is linearly related to the mean number of psychiatric symptoms in the population. The present investigation asks whether the same relationship holds longitudinally as well as cross-sectionally. Data from a 7-year follow-up of a general population sample demonstrate, for the first time, that a relationship exists between changes in prevalence of psychiatric disorder and changes in the mean number of psychiatric symptoms in a given population. Moreover, the relationship is linear; a one-point decrease in mean scores on the GHQ-30 is associated with a 6% decrease in prevalence of disorder.

scholarly journals Multi-modality biomarkers in the early prediction of ischaemic heart disease in middle-aged men during a 21-year follow-up

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria Sakalaki ◽  
Per-Olof Hansson ◽  
Annika Rosengren ◽  
Erik Thunström ◽  
Aldina Pivodic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
General Population ◽  
Predictive Value ◽  
Population Sample ◽  
Predictive Ability ◽  
High Sensitivity ◽  
Hs Crp

Abstract Background Ischaemic heart disease (IHD) often develops after decades of preceding subclinical coronary atherosclerosis. Biomarkers are useful prognostic predictors of IHD, but their long-term predictive value in a general population has not been adequately studied. Purpose To investigate the early predictive value of multi-modality biomarkers in addition to clinical risk factors in incident IHD in a random male general population sample followed from 50 to 71 years of age. Method “The Study of Men Born in 1943” is a longitudinal cohort study during follow-up. All the men underwent a baseline examination in 1993, where a panel of biomarkers were analysed and incident IHD was registered during 21-year follow-ups. Results Of 739 participants, 97 men (13.1%) developed an IHD event. For time to first occurrence of IHD, univariable analyses showed that elevated levels of high sensitivity troponin T (hs-TNT), high sensitivity-C reactive protein (hs-CRP) and interleukin-6 (IL-6) were significant predictors of IHD. In addition, a high number of biomarkers with elevated levels (hs-TNT > 10 ng/L, hs-CRP > 1 mg/L, IL-6 > 8 ng/L and N-terminal pro b-type natriuretic peptide (NT-proBNP) > 100 pg/mL) increased predictive ability. In univariable and multivariable analysis high-density lipoprotein-cholesterol (HDL-C) had the highest predictive ability. Hs-TNT provided better predictive ability than smoking, body mass index and glucose, and was an independent significant predictor when adjusted for HDL-C, total cholesterol and hypertension. Addition of biomarkers on top of clinical risk factors provided significantly better prediction as tested by likelihood ratio test (p = 0.033), but did not significantly enhance the model’s discriminative ability However, it appeared contributing to higher sensitivity in the late phase of follow-up. Conclusion In this random, middle-aged male population sample, the addition of biomarker hs-TNT was an independent significant predictor of IHD and significantly improved prediction, indicating the probability of a better prediction of long-term risk of IHD in a low-risk population. Trial registration: The study is registered at Clinical Trials.gov Identifier number: NCT03138122

scholarly journals Long-term mental health and social support in victims of disaster: comparison with a general population sample – ERRATUM

BJPsych Open ◽  
2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Siri Thoresen ◽  
Marianne Skogbrott Birkeland ◽  
Filip K. Arnberg ◽  
Tore Wentzel-Larsen ◽  
Ines Blix
Keyword(s):  
Mental Health ◽  
Social Support ◽  
General Population ◽  
Population Sample ◽  
General Population Sample
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