| Literature DB >> 36046130 |
Tianjing Gao1, Siyue Han1, Guangju Mo1, Qing Sun1, Min Zhang2, Huaqing Liu1.
Abstract
Background: Vast accumulative evidence suggests that the consumption of tea and its components have various potential health benefits. This study used a longitudinal study to examine the causality between tea consumption and frailty in older Chinese people.Entities:
Keywords: CLHLS; China; frailty; older people; tea consumption
Year: 2022 PMID: 36046130 PMCID: PMC9421071 DOI: 10.3389/fnut.2022.916791
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Figure 1Flow chart of sample selection.
Characteristics of older adults by tea consumption, tea consumption status in 2008 baseline, and frailty in the 2014 follow-up.
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| Age group (years) | 1.524 | 0.559 | 169.472*** | |||||||||
| 65–79 | 1,568 (63.4) | 231 (14.7) | 172 (11.0) | 605 (38.6) | 560 (35.7) | 569 (36.3) | 250 (15.9) | 749 (47.8) | 224 (14.3) | |||
| 80+ | 905 (36.6) | 118 (13.0) | 106 (11.7) | 355 (39.2) | 326 (36.0) | 327 (36.1) | 135 (14.9) | 443 (49.0) | 335 (37.0) | |||
| Sex | 139.166*** | 83.003*** | 27.746*** | |||||||||
| Female | 1,222 (49.4) | 96 (7.9) | 100 (8.2) | 481 (39.4) | 545 (44.6) | 336 (27.5) | 201 (16.4) | 685 (56.1) | 331 (27.1) | |||
| Male | 1,251 (50.6) | 253 (20.2) | 178 (14.2) | 479 (38.3) | 341 (27.3) | 560 (44.8) | 184 (14.7) | 507 (40.5) | 228 (18.2) | |||
| Marital status | 43.018*** | 22.654*** | 45.355*** | |||||||||
| Married | 1,387 (56.1) | 245 (17.7) | 172 (12.4) | 518 (37.3) | 452 (32.6) | 555 (40.0) | 218 (15.7) | 614 (44.3) | 244 (17.6) | |||
| Others | 1,086 (43.9) | 104 (9.6) | 106 (9.8) | 442 (40.7) | 434 (40.0) | 341 (31.4) | 167 (15.4) | 578 (53.2) | 315 (29.0) | |||
| Residence | 13.507** | 4.902 | 2.016 | |||||||||
| Rural | 2,204 (89.1) | 298 (13.5) | 242 (11.0) | 850 (38.6) | 814 (36.9) | 783 (35.5) | 343 (15.6) | 1,078 (48.9) | 489 (22.2) | |||
| Urban | 269 (10.9) | 51 (19.0) | 36 (13.4) | 110 (40.9) | 72 (26.8) | 113 (42.0) | 42 (15.6) | 114 (42.4) | 70 (26.0) | |||
| Education | 44.324*** | 15.770*** | 38.676*** | |||||||||
| Formal education | 1,224 (49.5) | 224 (18.3) | 153 (12.5) | 452 (36.9) | 395 (32.3) | 489 (40.0) | 189 (15.4) | 546 (44.6) | 212 (17.3) | |||
| Informal education | 1,249 (50.5) | 125 (10.0) | 125 (10.0) | 508 (40.7) | 491 (39.3) | 407 (32.6) | 196 (15.7) | 646 (51.7) | 347 (27.8) | |||
| Occupation | 50.259*** | 37.084*** | 0.766 | |||||||||
| Agricultural work | 1,692 (68.4) | 197 (11.6) | 164 (9.7) | 672 (39.7) | 659 (38.9) | 547 (32.3) | 269 (15.9) | 876 (51.8) | 374 (22.1) | |||
| Non-agricultural work | 781 (31.6) | 152 (19.5) | 114 (14.6) | 288 (36.9) | 227 (29.1) | 349 (44.7) | 116 (14.9) | 316 (40.5) | 185 (23.7) | |||
| Financial support | 45.598*** | 25.928*** | 30.807*** | |||||||||
| Financial dependence | 1,438 (58.1) | 152 (10.6) | 145 (10.1) | 584 (40.6) | 557 (38.7) | 461 (32.1) | 237 (16.5) | 740 (51.5) | 382 (26.6) | |||
| Financial independence | 1,035 (41.9) | 197 (19.0) | 133 (12.9) | 376 (36.3) | 329 (31.8) | 435 (42.0) | 148 (14.3) | 452 (43.7) | 177 (17.1) | |||
| Smoking | 64.200*** | 36.552*** | 11.128** | |||||||||
| Yes | 591 (23.9) | 124 (21.0) | 94 (15.9) | 222 (37.6) | 151 (25.5) | 272 (46.0) | 93 (15.7) | 226 (38.2) | 104 (17.6) | |||
| No | 1,882 (76.1) | 225 (12.0) | 184 (9.8) | 738 (39.2) | 735 (39.1) | 624 (33.2) | 292 (15.5) | 966 (51.3) | 455 (24.2) | |||
| Drinking | 54.909*** | 44.088*** | 12.746*** | |||||||||
| Yes | 543 (22.0) | 121 (22.3) | 76 (14.0) | 202 (37.2) | 144 (26.5) | 262 (48.3) | 74 (13.6) | 207 (38.1) | 92 (16.9) | |||
| No | 1,930 (78.0) | 228 (11.8) | 202 (10.5) | 758 (39.3) | 742 (38.4) | 634 (32.8) | 311 (16.1) | 985 (51.0) | 467 (24.2) | |||
| Exercise | 16.280** | 7.123* | 0.732 | |||||||||
| Yes | 963 (38.9) | 167 (17.3) | 110 (11.4) | 372 (38.6) | 314 (32.6) | 380 (39.5) | 143 (14.8) | 440 (45.7) | 209 (21.7) | |||
| No | 1,510 (61.1) | 182 (12.1) | 168 (11.1) | 588 (38.9) | 572 (37.9) | 516 (34.2) | 242 (16.0) | 752 (49.8) | 350 (23.2) | |||
| Chronic illnesses | 4.133 | 3.305 | 4.947* | |||||||||
| Yes | 1,278 (51.7) | 186 (14.6) | 128 (10.0) | 500 (39.1) | 464 (36.3) | 451 (35.3) | 189 (14.8) | 638 (49.9) | 312 (24.4) | |||
| No | 1,195 (48.3) | 163 (13.6) | 150 (12.6) | 460 (38.5) | 422 (35.3) | 445 (37.2) | 196 (16.4) | 554 (46.4) | 247 (20.7) | |||
*P < 0.05, **P < 0.01, ***P < 0.001.
Figure 2Histogram of the frailty index.
Associations between tea consumption and frailty among older Chinese people.
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| Consistent daily tea drinkers | 0.47 (0.33, 0.66)*** | 0.54 (0.38, 0.78)** |
| Consistent tea drinkers | 0.87 (0.63, 1.20) | 0.92 (0.65, 1.30) |
| Inconsistent tea drinkers | 1.00 (0.81, 1.24) | 1.03 (0.82, 1.29) |
| Daily | 0.75 (0.60, 0.92)** | 0.81 (0.65, 1.02) |
| Occasionally | 1.09 (0.83, 1.42) | 1.16 (0.88, 1.54) |
RR represents the risk ratio, 95% CI represents 95% confidence intervals, and Ref. represents reference. **P < 0.01, ***P < 0.001. The R2 value for the final model of tea consumption was 0.139. Multiple logistic regression analysis was applied to estimate the RR and 95% CI for frailty. The final model is adjusted for age, sex, marital status, residence, education, occupation, financial support, smoking, drinking, exercise, and chronic illnesses.
The association between tea consumption and frailty stratified by age, sex, and socioeconomic status.
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| 65–79 | 0.40 (0.22, 0.74)** | 1.18 (0.73, 1.93) | 0.97 (0.71, 1.35) |
| 80+ | 0.66 (0.40, 1.06) | 0.78 (0.49, 1.26) | 1.06 (0.77, 1.45) |
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| Female | 0.65 (0.37, 1.12) | 1.06 (0.64, 1.77) | 0.83 (0.62, 1.11) |
| Male | 0.53 (0.32, 0.87)* | 0.95 (0.57, 1.57) | 1.41 (0.97, 2.05) |
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| Formal education | 0.62 (0.37, 1.03) | 1.16 (0.68, 1.98) | 1.23 (0.85, 1.78) |
| Informal education | 0.48 (0.28, 0.84)* | 0.83 (0.52, 1.32) | 0.93 (0.70, 1.24) |
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| Agricultural work | 0.61 (0.38, 0.97)* | 0.77 (0.48, 1.22) | 0.93 (0.71, 1.21) |
| Non-agricultural work | 0.46 (0.25, 0.82)** | 1.33 (0.75, 2.35) | 1.30 (0.85, 2.01) |
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| Financial dependence | 0.42 (0.25, 0.71)** | 0.92 (0.60, 1.41) | 0.89 (0.68, 1.17) |
| Financial independence | 0.71 (0.41, 1.23) | 0.98 (0.53, 1.82) | 1.47 (0.98, 2.21) |
RR represents the risk ratio, 95% CI represents 95% confidence intervals. *P < 0.05, **P < 0.01. The final model is adjusted for age, sex, marital status, residence, education, occupation, financial support, smoking, drinking, exercise, and chronic illnesses.
Effect of interaction between tea consumption and sex on frailty.
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| Female | 1.67 (1.38, 2.02)*** | 1.29 (1.00, 1.66) |
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| Consistent daily tea drinkers | 1.17 (0.56, 2.45) | |
| Consistent tea drinkers | 1.06 (0.52, 2.18) | |
| Inconsistent tea drinkers | 0.58 (0.37, 0.93)* | |
| Daily | 0.84 (0.53, 1.33) | |
| Occasionally | 0.51 (0.29, 0.89)* | |
RR represents the risk ratio, 95% CI represents 95% confidence intervals, and Ref. represents reference. *P < 0.05, ***P < 0.001. The final model for the interaction between tea consumption and sex had an R2 value of 0.143. Multiple logistic regression analysis was applied to estimate the RR and 95% CI for frailty. The final model is adjusted for age, sex, marital status, residence, education, occupation, financial support, smoking, drinking, exercise, and chronic illnesses.