The association between daily yogurt consumption and serum lipid profiles in the general adult population: the TCLSIH cohort study

2021 ◽  
pp. 1-9
Author(s):  
Yeqing Gu ◽  
Shinan Gan ◽  
Shanshan Bian ◽  
Ge Meng ◽  
Qing Zhang ◽  
...  
Keyword(s):  
Cohort Study ◽  
Serum Lipid ◽  
Adult Population ◽  
Lipid Profiles ◽  
General Adult Population

scholarly journals Normative serum lipid profiles in the Iranian adult population

2020 ◽  
Author(s):  
Niloofar Shabani ◽  
Atieh Kamel Khodabandeh ◽  
Mary Kathryn Bohn ◽  
Hamideh Ghazizadeh ◽  
Maryam Saberi‐Karimian ◽  
...  
Keyword(s):  
Serum Lipid ◽  
Adult Population ◽  
Lipid Profiles

scholarly journals Age, period and cohort effects on body weight and body mass index in adults: The Doetinchem Cohort Study

2009 ◽  
Vol 12 (6) ◽  
pp. 862-870 ◽  
Author(s):  
Astrid CJ Nooyens ◽  
Tommy LS Visscher ◽  
WM Monique Verschuren ◽  
A Jantine Schuit ◽  
Hendriek C Boshuizen ◽  
...  
Keyword(s):  
Body Weight ◽  
Cohort Study ◽  
Longitudinal Data ◽  
Adult Population ◽  
Age Groups ◽  
Cohort Effects ◽  
Cross Sectional ◽  
Educational Levels ◽  
General Adult Population

AbstractObjectiveTo study the development of body weight with ageing, in a general adult population, taking into account possible period and cohort effects.DesignA prospective cohort study with 11 years of follow-up. At baseline and after 6 and 11 years, body weight and height were measured.SettingThe Doetinchem Cohort Study, consisting of inhabitants of Doetinchem, a town in a rural area of The Netherlands.SubjectsIn total, 4070 healthy men and women aged 20–59 years at baseline.ResultsIncrease in BMI with ageing was less profound based on cross-sectional data than based on longitudinal data. More recent-born cohorts had a higher BMI at a given age than cohorts who were born earlier. Increase in mean BMI with ageing was observed in all age groups and was similar for groups with a different educational level. Highest increase in BMI over 11 years was observed in the youngest group, aged 20–29 years at baseline (2·2 [95 % CL 2·0, 2·3] kg/m2), and lowest increase in the oldest group, aged 50–59 years at baseline (1·1 [1·0, 1·3] kg/m2).ConclusionsFindings of the present study using longitudinal data suggest that increase in BMI with ageing is underestimated in all age groups by studying cross-sectional data only. Further, weight gain is present in all educational levels and does not stop at middle age.

scholarly journals An Overview of the 1969-2007 Follow-up Study of Chronic Diseases and Healthy Ageing in Croatia and Pertinent Publications

2009 ◽  
Vol 60 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Mladen Pavlović ◽  
Naima Čorović
Keyword(s):  
Cohort Study ◽  
Chronic Diseases ◽  
Selection Bias ◽  
Health Risks ◽  
Adult Population ◽  
Healthy Ageing ◽  
Follow Up Study ◽  
General Adult Population ◽  
International Strategies

An Overview of the 1969-2007 Follow-up Study of Chronic Diseases and Healthy Ageing in Croatia and Pertinent PublicationsThis article brings an overview of data collected in a follow-up study of chronic diseases in general adult population residing in inland and coastal Croatia, that was performed from 1969 to 2007. Despite the selection bias, the sample of volunteers examined in the last follow-up (2005 - 2007), now older than 70, remained as representative as in the previous three follow-ups (1969, 1972, and 1982). Here we report on the design of this prospective cohort study and on papers that have been published as a result. The obtained data could help in promoting healthy living and longevity. The results of our survey might also contribute to the development and implementation of national or international strategies and action plans intended to reduce health risks, and particularly to control and prevent chronic diseases.

PO-26 Fibrinogen levels and risk of colorectal cancer in a case–cohort study from the Italian general adult population: results from the Moli-sani study

2021 ◽  
Vol 200 ◽  
pp. S31
Author(s):  
S. Costanzo ◽  
A. De Curtis ◽  
A. Di Castelnuovo ◽  
T. Panzera ◽  
M. Persichillo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cohort Study ◽  
Adult Population ◽  
General Adult Population

Serum lipid profiles in competitive athletes

2007 ◽  
Vol 51 (-1) ◽  
pp. 28-31 ◽  
Author(s):  
Elżbieta Hübner-Woźniak ◽  
Marzena Malara ◽  
Zbigniew Prawecki
Keyword(s):  
Serum Lipid ◽  
Lipid Profiles ◽  
Competitive Athletes

Awareness of general adult population of Saudi Arabia toward Bell’s palsy

2020 ◽  
pp. 1191-1197
Author(s):  
Sultan Alamrani ◽  
Shahd Rummani ◽  
Zainab Khamdan ◽  
Aisha Alharbi ◽  
Ahmad Alshahrani ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Adult Population ◽  
General Adult Population

Unravelling the phenotypic tangle of autistic, schizotypal and social anxiety traits: A Network Analysis

2020 ◽  
Author(s):  
Orestis Zavlis ◽  
Myles Jones
Keyword(s):  
Network Analysis ◽  
Social Anxiety ◽  
Factor Structure ◽  
Adult Population ◽  
Autism Spectrum ◽  
Underlying Structure ◽  
Schizotypal Personality ◽  
The Social ◽  
Trait Level ◽  
General Adult Population

Substantial overlap exists between schizophrenia and autism spectrum disorders, with part of that overlap hypothesised to be due to comorbid social anxiety. The current paper investigates the interactions and factor structure of these disorders at a personality trait level, through the lens of a network model. The items of the Autism Quotient (AQ), Schizotypal Personality Questionnaire Brief-Revised (SPQ-BR), and the Liebowitz Social Anxiety Scale (L-SAS) were combined and completed by 345 members of the general adult population. An Exploratory Graph Analysis (EGA) on the AQ-SPQ-BR combined inventory revealed two communities (factors), which reflected the general autism and schizotypal phenotypes. An additional EGA on all inventories validated the AQ-SPQ-BR factor structure and revealed another community, Social Anxiety (L-SAS). A Network Analysis (NA) on all inventories revealed several moderately central subscales, which collectively reflected the social-interpersonal impairments of the three disorders. The current results suggest that a combination of recent network- and traditional factor-analytic techniques may present a fruitful approach to understanding the underlying structure as well as relation of different psychopathologies.

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