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.

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

2020 ◽  
Author(s):  
Shao Ju ◽  
Shaosong Zhou ◽  
Yuan Qu ◽  
Bibo 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.

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

2020 ◽  
Author(s):  
Shao Ju ◽  
Shaosong Zhou ◽  
Yuan Qu ◽  
bibo liang ◽  
Qing-Hong Yu ◽  
...  
Keyword(s):  
Bone Turnover ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Age And Gender ◽  
Metabolic Markers ◽  
The Difference ◽  
Highly Correlated ◽  
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 the question of whether it is necessary to strictly match age and gender in clinical research in bone metabolism.METHODS: Patient data were extracted from the HIS of ZhuJiang Hospital, Southern Medical University. From these data, a cross-sectional study was conducted. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed. A total of 156 patients aged under 20 were identified and analyzed separately. 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. 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.

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

2020 ◽  
Author(s):  
Shao Ju ◽  
Shaosong Zhou ◽  
Yuan Qu ◽  
bibo liang ◽  
Qing-Hong Yu ◽  
...  
Keyword(s):  
Bone Turnover ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Age And Gender ◽  
Metabolic Markers ◽  
The Difference ◽  
Highly Correlated ◽  
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 the question of whether it is necessary to strictly match age and gender in clinical research in bone metabolism. METHODS: Patient data were extracted from the HIS of ZhuJiang Hospital, Southern Medical University. From these data, a cross-sectional study was conducted. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed. A total of 156 patients aged under 20 were identified and analyzed separately. RESULTS: P1NP, β-CTx and VitD 3 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 VitD 3 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. 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, VitD3 and ALP between genders depends on age differences.

CONCENTRATION OF THE SERUM TGF-BETA1 IN HEALTHY ADULT PEOPLE

2014 ◽  
pp. 90-93
Author(s):  
Van Tuan Nguyen ◽  
Tam Vo ◽  
Bui Bao Hoang
Keyword(s):  
Transforming Growth Factor ◽  
Healthy Adult ◽  
Age Groups ◽  
Elevated Serum ◽  
Cross Sectional Study ◽  
Healthy People ◽  
Sectional Study ◽  
Transforming Growth Factor Beta1 ◽  
Cross Sectional ◽  
And Gender

Elevated serum Transforming growth factor-beta1 (TGF-beta1) levels have been linked to tissue fibrosis including chronic kidney disease. Objectives: (1) Investigate serum TGF-beta1 levels in healthy adult people and (2) Examined the relation between serum TGF-beta1 level and gender, age, body mass index (BMI). Method: A cross-sectional study. TGF-beta1 were quantified by ELISA. Results: Levels of serum TGF-beta1 in healthy people were 13,45 ± 7,17 ng/mL mL (0,59 - 33,10 ng/mL). There are no difference of serum TGF-beta1 levels between men and women, between the age groups (<40 years, 40 to < 60 years and ≥ 60 years), between BMI groups < 23 and BMI group ≥ 23. Key words: TGF-beta1, healthy people

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

Co-infection with gonorrhoea and chlamydia: how much is there and what does it mean?

2003 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Sarah Creighton ◽  
Melinda Tenant-Flowers ◽  
Christopher B Taylor ◽  
Rob Miller ◽  
Nicola Low
Keyword(s):  
Dual Infection ◽  
Cross Sectional Study ◽  
Heterosexual Men ◽  
Age Group ◽  
Sectional Study ◽  
College Hospital ◽  
Cross Sectional ◽  
Age And Gender ◽  
King's College ◽  
And Gender

A cross-sectional study of new clients with either gonorrhoea or chlamydia attending King's College Hospital in 1998. One thousand two hundred and thirty-nine women and 1141 men had gonorrhoea, chlamydia or both. Overall, 24.2% (124/512) of heterosexual men and 38.5% (136/353) of women with gonorrhoea also had chlamydia ( P<0.001). Of heterosexual males 18.8% (124/660) and 13% (136/1022) of females with chlamydia also had gonorrhoea ( P=0.002). Ethnicity had no effect on the proportion of co-infection after controlling for age and gender. Clients with dual infection were younger than those with either infection alone ( P=0.0001). Over half of women and a quarter of men aged 15 to 19 years were dually infected so testing for both gonorrhoea and chlamydia may be appropriate in this age group in settings outside genitourinary clinics. The high proportion of cases of gonorrhoea that also have chlamydia justifies the policy of epidemiological treatment for chlamydia.

Sign in / Sign up

Export Citation Format

Share Document