Logistic regression models fitting results of the association between tea categories and cognitive impairment ¹.

<p>¹Binary logistic regression analysis was used to calculate ORs and 95% CIs for tea categories related to cognitive impairment which assessed with CCM, with non-consumption group treated as reference.</p><p>² P value were tested by logistic regressions in which tea category was treated as categorical variable.</p><p>³ Crude model.</p><p>⁴ Adjusted for age, sex, race, education, marriage, tea consumption volume and tea concentration.</p><p>⁵Adjusted for variables in model 2 plus physical examinations (BMI, WHR, SBP, DBP), family status (family income, have children or not) and disease situation (history of present illness and family history of hypertension, diabetes, CHD, AD, PD).</p><p>⁶ Adjusted for variables in model 3 plus behavioral risk factors (cigarette smoking, alcohol consumption, and physical activities), dietary intake (vegetables, fruits, meat, fish, beans, milk).</p><p>⁷Adjusted for variables in model 4 plus nutrition supplement, depression and ADL.</p><p>Logistic regression models fitting results of the association between tea categories and cognitive impairment <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137781#t004fn001" target="_blank">¹</a>.</p

Additional file 4: of UCP2 and UCP3 variants and gene-environment interaction associated with prediabetes and T2DM in a rural population: a case control study in China

Table S4. Best gene-environment interaction models identified by GMDR. (DOCX 16 kb

Additional file 1: of UCP2 and UCP3 variants and gene-environment interaction associated with prediabetes and T2DM in a rural population: a case control study in China

Table S1. Main information of tSNPs and their function prediction. (DOCX 17 kb

Logistic regression models fitting results of the association between tea concentration and cognitive impairment ¹.

<p>¹Binary logistic regression analysis was used to calculate ORs and 95% CIs for cognitive impairment related with tea concentration which assessed with CCM, with non-consumption group treated as reference.</p><p>² P value were determined by logistic regressions in which tea concentration was treated as non-ordinal categorical variable.</p><p>³Crude model.</p><p>⁴ Adjusted for age, sex, race, education, marriage, tea consumption volume and tea categories.</p><p>⁵ Adjusted for variables in model 2 plus physical examinations (BMI, WHR, SBP, DBP), family status (family income, have children or not) and disease situation (history of present illness and family history of hypertension, diabetes, CHD, AD, PD).</p><p>⁶ Adjusted for variables in model 3 plus behavioral risk factors (cigarette smoking, alcohol consumption, and physical activities), dietary intake (vegetables, fruits, red meat, fish, beans, milk).</p><p>⁷Adjusted for variables in model 4 plus nutrition supplement, depression and ADL.</p><p>Logistic regression models fitting results of the association between tea concentration and cognitive impairment <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137781#t005fn001" target="_blank">¹</a>.</p

Additional file 3: of UCP2 and UCP3 variants and gene-environment interaction associated with prediabetes and T2DM in a rural population: a case control study in China

Table S3. Associations between UCP2, UCP3 and prediabetes or T2DM. (DOCX 31 kb

Additional file 2: of UCP2 and UCP3 variants and gene-environment interaction associated with prediabetes and T2DM in a rural population: a case control study in China

Table S2. Amplification and extension primers sequences of the nine loci in UCP2–3 genes. (DOCX 16 kb

Frequency of tea consumption among study participants.

<p>Frequency of tea consumption among study participants.</p

Characteristics of study participants by volume of tea consumption.

<p>¹ Based on ANOVA, chi-square test or Kruskal-Wallis test.</p><p>² Under the CCM of cognitive impairment.</p><p>³ Under the commonly used MMSE cut-off worldwide of cognitive impairment.</p><p>Characteristics of study participants by volume of tea consumption.</p