Additional file 1 of Type of tea consumption and depressive symptoms in Chinese older adults
Creators: name: Yao, Yao
name: Chen, Huashuai
name: Chen, Lele
name: Ju, Sang-Yhun
name: Yang, Huazhen
name: Zeng, Yi
name: Gu, Danan
name: Ng, Tze Pin
Publisher: name: figshare
Year: 2021
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Mental Health
subject: Plant Biology

description: Additional file 1: Supplementary Table 1. Types and frequencies of consumption of teas in the study population. Supplementary Table 2. Subgroup analyses on levels and types of tea consumption and depressive symptoms. Supplementary Figure 1. Map of tea production areas in China and distribution of participants of CLHLS by type of tea intake . Supplementary Figure 2. Sensitivity analysis of type and frequency of tea intake with depressive symptoms by (a) using different cut-off value of CES-D-10 = 12 and (b) using different cut-off value of CES-D-10 = 8 as the definition of depressive symptoms. Main model included types of tea consumption as the sole variable and controlling for demographic and socioeconomic variables (age, gender, education, socioeconomic status, rural residence and geographical regions), psychosocial and behavioral variables (marital status, living arrangement, social and leisure activity index, smoking, alcohol drinking, BMI, regular dietary [vegetable/fruit/fish/nut] intake), and health variables (self-rated health, cognitive impairment, and medical illness, comorbidity, and ADL disability). Supplementary Figure 3. Sensitivity analysis of type and frequency of tea intake with depressive symptoms by (a) removing participants with severe cognitive impairment (MMSE&lt; 19; n = 1432) and (b) removing participants who were bedridden or terminally ill (n = 261). Main model included types of tea consumption as the sole variable and controlling for demographic and socioeconomic variables (age, gender, education, socioeconomic status, rural residence and geographical regions), psychosocial and behavioral variables (marital status, living arrangement, social and leisure activity index, smoking, alcohol drinking, BMI, regular dietary [vegetable/fruit/fish/nut] intake), and health variables (self-rated health, cognitive impairment, and medical illness, comorbidity, and ADL disability). Supplementary Figure 4. Sensitivity analysis of type and frequency of tea intake with depressive symptoms by (a) using full sample after multiple imputation (n = 13,825) and (b) by adjusting sampling weight based on age-sex-residence-specific distribution of 2015 mini-census of China. Main model included types of tea consumption as the sole variable and controlling for demographic and socioeconomic variables (age, gender, education, socioeconomic status, rural residence and geographical regions), psychosocial and behavioral variables (marital status, living arrangement, social and leisure activity index, smoking, alcohol drinking, BMI, regular dietary [vegetable/fruit/fish/nut] intake), and health variables (self-rated health, cognitive impairment, and medical illness, comorbidity, and ADL disability).