Age and gender differences in ability emotional intelligence in adults: A cross-sectional study.

2016 ◽  
Vol 52 (9) ◽  
pp. 1486-1492 ◽  
Author(s):  
Rosario Cabello ◽  
Miguel A. Sorrel ◽  
Irene Fernández-Pinto ◽  
Natalio Extremera ◽  
Pablo Fernández-Berrocal
Keyword(s):  
Gender Differences ◽  
Emotional Intelligence ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Age And Gender ◽  
Age And Gender Differences ◽  
Ability Emotional Intelligence ◽  
And Gender

Thyroid Status in Relation to Age and Gender - A Cross Sectional Study

2013 ◽  
Vol 1 (2) ◽  
pp. 37
Author(s):  
Samata Padaki ◽  
AmrutA Dambal ◽  
Anita Herur ◽  
SangappaV Kashinakunti ◽  
R Manjula ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Sectional Study ◽  
Thyroid Status ◽  
Cross Sectional ◽  
Age And Gender ◽  
And Gender

scholarly journals Correlation between bone turnover and metabolic markers with age and gender: a cross-sectional study of hospital information system data

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ju Shao ◽  
Shao-Song Zhou ◽  
Yuan Qu ◽  
Bi-Bo Liang ◽  
Qing-Hong Yu ◽  
...  
Keyword(s):  
Bone Turnover ◽  
Clinical Research ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Hospital Data ◽  
Medication History ◽  
Cross Sectional ◽  
Age And Gender ◽  
And Gender

Abstract Background Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism. Methods A cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed. Results P1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20–39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0–19, 20–39, and 40–59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20–59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40–79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP. Conclusion P1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research.

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