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Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression.

Tu YK, Chien KL, Burley V, Gilthorpe MS - BMC Med Res Methodol (2011)

Bottom Line: Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for.Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA.This ecological association is worthy of further investigation.

View Article: PubMed Central - HTML - PubMed

Affiliation: Division of Biostatistics, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, UK. y.k.tu@leeds.ac.uk

ABSTRACT

Background: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA).

Methods: To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for.

Results: As the age of individuals increased, the values of components generally increased except for UA. Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA. There is a similar pattern between the trend in levels of metabolic syndrome components against birth year of birth and economic growth in Taiwan.

Conclusions: We found cohort effects in some MetS components, suggesting associations between the changing environment and health outcomes in later life. This ecological association is worthy of further investigation.

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Related in: MedlinePlus

Associations between adjusted values of components of metabolic syndrome and age at examinations/birth year. Confounders adjusted for were years in formal education, history and frequency of cigarettes smoking, alcohol intake and betel-quid chewing. Results are from partial least squares regression models with 2 components.
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Figure 3: Associations between adjusted values of components of metabolic syndrome and age at examinations/birth year. Confounders adjusted for were years in formal education, history and frequency of cigarettes smoking, alcohol intake and betel-quid chewing. Results are from partial least squares regression models with 2 components.

Mentions: Tables 3 showed the results of the linear PLSR, and Figure 3 and Table 4 showed the results from nonlinear (restricted cubic splines) PLSR. PRESS, the statistical index for the selection of components, selected only the first PLS component for all linear or nonlinear models. Nevertheless, to examine the robustness of our findings, we also look at results from models with the first two components are also presented. In general, the one component model explained more than 75% of the total R2, and the two component models explained more than 95% of the total R2. The greater the R2 in the one-component models, the smaller the differences caused by adding the second component to the models. As the two-component models explained almost all the total R2, adding more components yields little difference to results, i.e. insubstantial changes to the estimated regression coefficients. Consequently, we concentrated on the interpretation of results from two-component models.


Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression.

Tu YK, Chien KL, Burley V, Gilthorpe MS - BMC Med Res Methodol (2011)

Associations between adjusted values of components of metabolic syndrome and age at examinations/birth year. Confounders adjusted for were years in formal education, history and frequency of cigarettes smoking, alcohol intake and betel-quid chewing. Results are from partial least squares regression models with 2 components.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3117818&req=5

Figure 3: Associations between adjusted values of components of metabolic syndrome and age at examinations/birth year. Confounders adjusted for were years in formal education, history and frequency of cigarettes smoking, alcohol intake and betel-quid chewing. Results are from partial least squares regression models with 2 components.
Mentions: Tables 3 showed the results of the linear PLSR, and Figure 3 and Table 4 showed the results from nonlinear (restricted cubic splines) PLSR. PRESS, the statistical index for the selection of components, selected only the first PLS component for all linear or nonlinear models. Nevertheless, to examine the robustness of our findings, we also look at results from models with the first two components are also presented. In general, the one component model explained more than 75% of the total R2, and the two component models explained more than 95% of the total R2. The greater the R2 in the one-component models, the smaller the differences caused by adding the second component to the models. As the two-component models explained almost all the total R2, adding more components yields little difference to results, i.e. insubstantial changes to the estimated regression coefficients. Consequently, we concentrated on the interpretation of results from two-component models.

Bottom Line: Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for.Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA.This ecological association is worthy of further investigation.

View Article: PubMed Central - HTML - PubMed

Affiliation: Division of Biostatistics, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, UK. y.k.tu@leeds.ac.uk

ABSTRACT

Background: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA).

Methods: To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for.

Results: As the age of individuals increased, the values of components generally increased except for UA. Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA. There is a similar pattern between the trend in levels of metabolic syndrome components against birth year of birth and economic growth in Taiwan.

Conclusions: We found cohort effects in some MetS components, suggesting associations between the changing environment and health outcomes in later life. This ecological association is worthy of further investigation.

Show MeSH
Related in: MedlinePlus