Skip to main content

Advertisement

Download PDF

Association between tea consumption and depressive symptom among Chinese older adults

BMC Geriatrics volume 19, Article number: 246 (2019) Cite this article

Abstract

Background

Despite accumulating evidence on the protective effect of tea consumption against depression, studies specifically focusing on the elderly population are yet limited. This paper examined the association between the frequency and duration of tea drinking and depressive symptoms of older adults by gender and age groups, based on a nationally representative sample in China.

Method

The study employed the panel data from 2005, 2008/2009, 2011/2012 and 2014 waves of Chinese Longitudinal Healthy Longevity Survey (CLHLS). We used the frequency and consistency of tea drinking behaviors to identify four types of tea consumption amongst Chinese seniors. Depressive symptoms were assessed by a five-item scale. Linear mixed effects models were applied.

Results

We found that consistent and frequent tea-drinking was associated with significantly less depressive symptoms, and such impact was partially mediated by socioeconomic status, health behavior, physical health, cognitive function, and social engagement. However, the association was only significant for males and the oldest-old, rather than females and younger elders.

Conclusions

Consistent and frequent tea-drinking may effectively reduce the risk of depressive symptoms for the Chinese elderly. The promotion of the traditional lifestyle of tea drinking could be a cost-effective way towards healthy aging for China.

Peer Review reports

Background

Depression, as one of the most common mental disorders at old ages, often causes great suffering in later life. Unipolar depression or major depressive disorder, characterized by a persistent feeling of sadness or a lack of interest in outside stimuli, now affects about 7% of the older adults worldwide [1]. In China, the rising prevalence of depression amongst seniors has become a major health concern [2]. A recent nationwide survey in 2012, for example, reported that about one third of Chinese elderly aged 75 and over suffered severe depressive symptoms [3]. A growing body of research has been exploring risk factors for elderly depression, ranging from biomarkers, behavior characteristics, socioeconomic status, family structure, living arrangement, to community environment [4,5,6,7,8,9]. Amongst these factors, the consumption of tea, one of the most popular non-alcoholic beverages in the world, is nowadays drawing attention.

The positive impact of tea drinking on human health has been long acknowledged [10, 11]. According to a recent literature review [12], it has been well evidenced that tea consumption is inversely related to cancers of skin, prostate, lung and breast, as well as cardiovascular diseases (particularly atherosclerosis and coronary heart disease), diabetes, and arthritis. Another review paper [13] reported that the tea-drinking benefits on cardiovascular diseases should partially come from the improved nitric oxide status and endothelial function, whereas other possible pathways may work through body weight and fatness, oxidative damage, inflammation, platelet activation, blood pressure, and risk of Type-2 diabetes.

Researchers recently become interested in how tea drinking may promote mental health and some major biochemical mechanisms have been proposed [14]. Tea catechins, especially epigallocatechin gallate (EGCG), could exert antidepressant-like effects and prevent reduction in brain dopamine concentration [15, 16]. Theanine, one of the major amino acid contained in green tea leaves, could block the binding of L-glutamic acid and lead to lower post-stress cortisol and greater subjective relaxation [17]. Caffeine, which is an important component of tea, is well-known for increasing alertness and promoting mood [18]. Lastly, theaflavins as the main polyphenolic compounds of black tea may protect against oxidative stress [19]. Notwithstanding these important findings, how biochemical components interact to make up the benefit of tea upon mental health is still puzzling, and thus becomes a frontline in the current biochemical research for this field [20, 21].

The current epidemiological literature on the association between tea drinking and depression is still underdeveloped. Studies in this field mostly came from Asian societies, four from mainland China [19, 22,23,24], three from Japan [25,26,27], two from Taiwan [28, 29], one from South Korea [30], and one from Singapore [31]. Most of these studies focused on the elderly population. Based on these literatures, a recent meta-analysis provided supporting evidence for tea consumption against depression, though results in some studies as reviewed were yet to be insignificant [32]. Amongst studies specifically based on China, however, there has been no national-scaled research. In fact, to our knowledge, there are only two national-scaled investigations upon the health impact of tea drinking in China so far [33, 34], neither of which addressed the tea benefit over depression in older age.

In addition to the evident research gap in China, the current literature is also limited in a few other aspects. Regarding the protective role of tea against depression, the gender and age disparity in the effects of tea has not received enough attention in the field. Prior research showed that various risk factors of elderly depression, such as marital status, economic condition, disease burden and social support, may operate differently for men and women, for the young-old and the old-old [35,36,37]. Gender and age groups thus could be major moderators for the tea-depression association, which deserve more investigations [33]. Second, measurements of tea drinking habit in most studies only examined the frequency, amount, and types of tea consumption at the survey time or in the preceding month or year, without tracing the lifetime patterns, except one study [22]. This might be problematic in clarifying the causal relationship between tea consumption and depression, as the effect of tea could be long-termed. It is thus granted to incorporate better-refined measurements to address this issue.

Based on the panel data from 2005, 2008/2009, 2011/2012 and 2014 waves of Chinese Longitudinal Healthy Longevity Survey (CLHLS), the present study investigated the association between tea consumption and depressive symptoms among the Chinese older adults. To further contribute to the literature, we refined the measurement of tea drinking by incorporating the life experience of tea consumption, and examined the heterogeneity in associations between tea consumption and depressive symptoms by gender and by age groups.

Methods

Data source

The longitudinal data used in this study came from Chinese Longitudinal Healthy Longevity Survey (CLHLS). The CLHLS 1998 baseline survey interviewed 8959 oldest-old respondents aged 80 and over in randomly selected half of the counties in 22 out of 31 provinces in China [38]. Six waves of follow-up surveys were conducted in 2000, 2002, 2005, 2008/2009, 2011/2012 and 2014 respectively. The CLHLS has been expanded since 2002 to additionally include younger participants aged 65 to 79. The CLHLS systematically collected data from older adults through face-to-face interviews by trained staff. The data quality of the CLHLS is reasonably good in evaluations [39]. This study employed the longitudinal sample from 2005 to 2014 waves, which contained rich information on tea consumption and depressive symptoms of the respondents. After excluding cases with missing information on key variables, the final sample consisted of 13,026 elderly aged 65 and over interviewed in 2005 wave, with 5873 men (45.1%) and 7153 women (54.9%). The number of survived subjects remaining in follow-up surveys was 5458 in 2008–2009 wave, 3033 in 2011–2012 wave, and 1919 in 2014 wave.

Measurement

To additionally capture the consistency of tea consumption in later years, we examined tea-drinking frequency of the interviewees at around age 60 as well as at the time of survey, with options of “almost every day”, “sometimes”, and “rarely or never”. Based on tea drinking frequency both in the past and at the present, we classified four types of tea drinkers. Those who rarely or never drank tea both at age 60 and at the time of survey were classified as “non-drinkers”, which was the reference category in the regression analyses. In contrast, those who drank tea almost every day both at age 60 and at the time of survey were defined as “consistent daily drinkers”. In between, those who drank tea at least sometimes at age 60 and at the time of survey, but not consistently daily, were “consistent drinkers”; and respondents who rarely or never drank tea either at age 60 or at the time of survey, but not both, were “inconsistent drinkers”.

Depressive symptoms in CLHLS were assessed by a five-item scale. These five items have been often adopted to indicate depressive symptoms in various studies using the CLHLS data [40,41,42]. Out of the five questions in this scale, two measured positive feelings and the other three measured negative affect. The former two questions included “do you look on the bright side of things?” and “are you as happy now as when you were young?”; and the other three questions were “do you often feel anxious or fearful?”, “do you often feel lonely and isolated?” and “do you feel the older you get the more useless you are?”. The respondents were requested to choose from five frequency responses of “Always”, “Often”, “Sometimes”, “Seldom” and “Never”. A score from 0 to 4 was assigned to each response, with a higher score indicating the higher frequency of feeling negative. In consequence, we had the summed score ranging from 0 to 20, with higher value indicating more depressive symptoms. The internal consistency reliability using Cronbach α coefficient based on the 2005 sample is 0.66, above the acceptable values of 0.6 [43]. Principle component analysis generated one factor with eigenvalues ≥ 1, explaining 44.5% of the total variance. The distribution of scores of depressive symptoms is presented in the Additional file 1: Figure S1.

We controlled for three groups of covariates that could have significant associations with elderly depression according to the prior studies [19, 44]. The first group included demographic and socioeconomic characteristics, including age, gender, residence (urban vs. rural), education (literate vs. illiterate), marital status (currently married vs. non-married), and pension status (with pension vs. without pension). The second group consisted of variable of lifestyle and health conditions, including current smoking (yes vs. no), current drinking (yes vs. no), activities of daily living (ADL) and cognitive function. ADL was based on whether the respondent could independently perform each of the six daily tasks, including feeding, bathing, dressing, toilet hygiene, continence and indoor transferring. The score of ADL ranges from 0 to 6, with higher scores indicating better functional independence. Cognitive function was measured using the Chinese version of Mini-Mental State Examination (MMSE), with a score ranging from 0 to 30 [45].

Lastly, we examined covariates of social engagement as the third group, which included activities such as playing card or mahjong (yes vs. no), participating community activities (yes vs. no), and tourism (yes vs. no). One key debate on the benefit of tea over mental health is whether the impact comes from the biochemical components of tea or the social context of tea drinking [21]. The confounding effect of social context should be particularly relevant in China, where tea drinking is a long cultural tradition with social functions to show respect, to build network, to celebrate, and to apologize. These covariates, which indicated stress-reducing leisure social activities for Chinese [46], could thus better clarify the biomedical and social aspects of the tea benefits.

Analyses

Because responses on tea consumption, depressive symptoms and some covariates were time-varying for each respondent in the panel data, we employed linear mixed effect models, which could simultaneously and explicitly model the between- and within-individual variations. The model is expressed as:

$$ {Y}_{ij}={\beta}_0+{\beta}_1{T}_{ij}+{\beta}_2{Z}_{ij}+{b}_i+{\varepsilon}_{ij} $$
(1)

where Yij represents depressive symptoms for the ith respondent at the jth wave of survey. Tij is the variable of tea consumption for the ith respondent at the jth wave of survey. Zij includes a series of covariates as mentioned in the previous section. bi is the fixed effect of the ith respondent, and εij is the error term.

To clarify the effects of tea consumption on depressive symptoms, we followed a stepwise approach to adjust for different sets of mediating variables. Model 1 only included tea consumption habits. Model 2 added the demographic and socioeconomic covariates, such as age, gender, residence, education, pension status and marital status. Model 3 further controlled for the covariates of lifestyle and health conditions, including smoking, alcohol consumption, ADL and MMSE score. Model 4 further adjusted for variables of social engagement, including playing card or mahjong, participation in community activities and tourism. In order to examine the disparity in the association between tea drinking and depressive symptom by gender and age groups, we performed Model 4 separately for males and females, as well as for the young old and oldest-old.

Results

Table 1 summarizes the characteristics of elderly respondents by types of tea drinkers in the 2005 wave of CLHLS. Of the 13,026 elderly participants, 38.1% were non-drinkers, 25.3% were inconsistent drinkers, 17.7% were consistent drinkers, and 18.9% were consistent daily drinkers. Compared with non-drinkers, drinkers, especially consistent daily drinkers, reported a significantly lower score of depressive symptoms (p < 0.001). The mean age, proportions of men and urban residents, and proportions of being educated, married and receiving pension, were also relatively higher among those who frequently and consistently consume tea. Meanwhile, tea drinkers tended to smoke and drink, but had better physical and cognitive functioning. And they were more socially involved.

Table 1 Characteristics of the elderly by tea consumption status in 2005 wave of CLHLS
Full size table

The regression results for associations between tea consumption and depressive symptoms are presented in Table 2. Model 1 shows that inconsistent and consistent tea drinkers had 0.22 and 0.35 point lower scores of depressive symptoms than non-drinkers respectively (both P < 0.01), whereas consistent daily drinkers had an even lower score of 0.95 point (P < 0.01). These raw outcomes support the inverse associations between tea consumption and depressive symptoms for Chinese old individuals. Once adjusting for demographic and socioeconomic traits (Model 2), the protective impacts of tea were attenuated. Only consistent daily drinkers maintained a significantly lower score of depressive symptoms (coefficient = 0.40, P < 0.01). This association was further mediated when variables of lifestyle and health condition (Model 3) and social engagement (Model 4) were added; however, consistent daily drinking remained a significant preventive factor against depressive symptoms (P < 0.01). These results reveal a strong protective role of tea consumption against depressive symptoms for Chinese elderly, though only when the drinking behavior was frequent and consistent.

Table 2 Associations between tea consumption and depressive symptoms for Chinese elderly (2005–2014 panel data)
Full size table

Results on covariates are also notable. Urban living, being educated and married, economic adequacy, better health and engagement in social activities were related to less depressive symptoms. It is worth noting that after controlling for health status, older age was associated with a significantly lower risk of depressive symptoms (Model 4). This result is indeed in line with the literature, probably due to decreased emotional responsiveness as well as increased emotional control and psychological immunization to stressful experiences with rising age [47, 48].

We further examined whether the tea benefits differ by gender and by age groups. As shown in Table 3, consistent daily tea consumption significantly lessened depressive symptoms for males (coefficient = − 0.29, P < 0.01), but not females; at the same time, the inverse association between consistent daily tea consumption and depressive symptoms was statistically significant for the young old (coefficient = − 0.42, P < 0.01), but not the oldest old aged 80 and above.

Table 3 Associations between tea consumption and depressive symptoms, by gender and by age group (2005–2014 panel data)
Full size table

Figure 1 better illustrates the disparity by gender and age groups, which presents the predicted average depressive symptom scores of four types of tea drinkers, across the age range and by gender, with all covariates adjusted. As can be seen, at young ages, females suffered more depressive symptoms than males. With age advancement, the depressive symptom score decreased for both men and women, yet the slope was steeper for women. Regarding the impact of tea drinking, among male older adults, consistent daily drinkers reported much milder depressive symptoms than the other three groups; however, this pattern was not obvious for females.

Fig. 1
figure1

Average predicted depressive symptom scores for four groups of tea drinkers based on regression results, by gender and age. Note: All the covariates are set at their mean values

Full size image

Discussion

With the worldwide population aging, the rising prevalence of mental disorders among older adults has gained increasing attentions in recent years. Based on the data from a nationwide longitudinal survey of Chinese elderly aged 65 and over, our study showed that consistent and frequent tea drinking effectively reduced depressive symptoms during the nine-year follow-up period. The results confirmed findings of previous epidemiological studies on the inverse association between tea drinking and depression amongst older adults [19, 22,23,24,25,26,27,28,29,30,31].

The study has major methodological strength. The linear mixed effects models as applied in this analysis could incorporate individual change over time, address the within-individual correlations, and thus provide more robust estimates of tea impact on mental health of Chinese seniors. More importantly, instead of examining tea-drinking habit at the time of survey or in the preceding month/year, we combined the information on frequency and consistency of tea consumption at age 60 and at the time of assessment, so that we developed a refined measurement classifying four types of tea drinkers. As tea-drinking behaviors possibly change in later years and the tea benefits might be long-termed, this two-time-point-based measure could be advantageous in capturing the role of tea consumption on mental health.

Using the refined measurement, our results revealed that only consistent daily drinkers, those who had drunk tea almost every day since age 60, could significantly benefit in mental health. The fact that inconsistent tea drinkers did not significantly mentally benefit suggests that the impact of tea may unfold in a long-termed manner. This finding contributes to the field, in which studies had been mostly focusing on the frequency of tea intake. In fact, current cohort prospective studies in the field tended to measure the tea-drinking habits at only one point of time and track the health impacts for a relatively short period of observation, gaining insignificant results [32]. The duration of tea drinking was recently noted to lower the incidence of Parkinson’s disease, hypertension, chronic gastritis and prostate cancer [49,50,51,52]. Along this line, this study highlighted the importance of consistent tea-drinking for mental health in later life.

Moreover, our results revealed that the inverse association between tea consumption and depressive symptoms was partially ameliorated by socioeconomic traits, health conditions, and participation in social activities. In this sense, through modeling the factors of social engagement, this study helped reveal the duality of benefits of tea drinking, both social and biochemical. This is not unexpected as tea drinking is a highly socialized behavior in China. In particular, the observed linkage between tea drinking and social engagement made good sense. In China as well as in many other Asian societies, tea drinking is not only a dietary habit, but a ceremonial symbol closely connected with various types of group events such as leisure activities and community events. Tea drinking is thus an indicator of active social participation, which helps lower the risk of depression [53, 54].

This study further examined the heterogeneity in associations between tea consumption and depressive symptoms by gender and age groups. We found that the benefit of tea drinking particularly applied to males and the young old, rather than females and the oldest old. This pattern is in line with a recent study conducted by Qiu and colleagues [33], where the benefits of tea against old-age mortality was particularly strong for young male elders aged 65 to 84 years, in contrast to oldest-old males and all females. Male gender and the younger age for the late life often indicate relatively better health than the females and oldest-old. It is likely that the benefit of tea is more evident for the early stage of heath deterioration and weakens for the late stage. According to a study on Finnish people, for example, tea intake was reported not effective in lowing the risk of severe depression [30]. Another possible reason is that men and younger elderly incline to drink more tea per day or drink stronger tea with a high concentration of beneficial constituents, and thus the tea benefit might be enlarged for these groups [19]. As discussed by Qiu and colleagues [33], there could be more biological and lifestyle mechanisms behind these interesting gender/age group disparities and further investigations are needed.

Despite these interesting findings above, cautions are surely needed in interpreting our results. Based on the large observational data from a national survey, the statistical association between tea drinking and depressive symptoms may not necessarily approve the clinical significance of tea components in improving mental health. This is particularly true given the fact that how tea drinking works involve both biochemical, behavioral and social mechanisms [21]. However, from the perspective of public health, in face of the accelerated population aging in China, our study suggests that it seems a reasonable initiative to promote tea drinking among seniors, which could effectively reduce depressive symptoms in later life. In particular, except for some high-end breeds, tea is usually affordable for most Chinese elderly in daily life. Thus, tea drinking is indeed cost-effective and easily adoptable, in regard to the maintenance and promotion of the elderly mental health. In addition, the benefit of tea is delivered not only through biomedical mechanisms but also in social realm, as drinking tea is often accompanied by social activities.

There are several major limitations to be noted in this study. First, we are not able to distinguish the type of tea and capture the exact quantity of tea intake due to lack of data. Without such information, accuracy of our estimation on the tea benefit over mental health would be compromised. Future studies are definitely needed to collect more information in this regard. Second, we acknowledge that the 5-item scale of depressive symptom is limited in comparison with the established scales of depression such as GDS or CES-D. Cautions are thus needed when interpreting the results. Last, although we discovered that tea consumption plays a much more important role in preventing depressive symptoms for males and the young old than for females and the oldest old, the underlying mechanisms are still speculative and more research are granted along this line.

Conclusion

Given the increasing concern over disease burdens in China, our study offered a fresh perspective from dietary habits on how to advance mental health in an aging society. Consistent and frequent tea consumption, according to our study, was associated with significantly less depressive symptoms for Chinese old individuals, even adjusting for their socioeconomic status, lifestyle, health status and social engagement. In addition, the protective role of tea consumption was particularly strong for the males and younger elderly. Advocating for the traditional life habits such as tea drinking could be a promising way to promote healthy aging for China in the coming decades.

Availability of data and materials

The dataset is publicly available at https://sites.duke.edu/centerforaging/programs/chinese-longitudinal-healthy-longevity-survey-clhls/

References

  1. 1.

    WHO: Mental Health of Older Adults. 2017. http://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults. Accessed 02 Jun 2018.

  2. 2.

    Wu XL, Li J, Wang LL. Analysis on the depressive symptoms of elderly in China. Popul J. 2010;5(In Chinese):43–7.

  3. 3.

    Qin XZ, Wang S, Hsieh CR. The prevalence of depression and depressive symptoms among adults in China: estimation based on a National Household Survey. China Econ Rev. 2016; In Press.

  4. 4.

    Blazer DG, Burchett BB, Fillenbaum GG. APOE ɛ4 and low cholesterol as risks for depression in a biracial elderly community sample. Am J Geriatr Psychiatry. 2002;10(5):515–20.

  5. 5.

    Lopresti AL, Hood SD, Drummond PD. A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise. J Affect Disord. 2013;148(1):12–27.

  6. 6.

    Bots S, Tijhuis M, Giampaoli S, Kromhout D, Nissinen A. Lifestyle- and diet-related factors in late-life depression—a 5-year follow-up of elderly European men: the FINE study. Int J Geriatr Psychiatry. 2008;23(5):478–84.

  7. 7.

    Chou KL, Chi I, Chow NWS. Sources of income and depression in elderly Hong Kong Chinese: mediating and moderating effects of social support and financial strain. Aging Ment Health. 2004;8(3):212–21.

  8. 8.

    Zunzunegui MV, Béland F, Otero A. Support from children, living arrangements, self-rated health and depressive symptoms of older people in Spain. Int J Epidemiol. 2001;30(5):1090–9.

  9. 9.

    Mamplekou E, Bountziouka V, Psaltopoulou T, et al. Urban environment, physical inactivity and unhealthy dietary habits correlate to depression among elderly living in eastern Mediterranean islands: The MEDIS (MEDiterranean ISlands elderly) study. J Nutr Health Aging. 2010;14(6):449–55.

  10. 10.

    Yang CS, Landau JM. Effects of Tea Consumption on Nutrition and Health. J Nutr. 2000;130(10):2409.

  11. 11.

    Trevisanato SI, Kim YI. Tea and health. Nutr Rev. 2000;58(1):1–10.

  12. 12.

    Mukhtar H, Khan N. Tea and Health: Studies in Humans. Curr Pharm Des. 2013;19(34):6141–7.

  13. 13.

    Hodgson JM, Croft KD. Tea Flavonoids and Cardiovascular Health. Mol Asp Med. 2010;31(6):0–502.

  14. 14.

    Camfield DA, Stough C, Farrimond J, et al. Acute Effects of Tea Constituents L-theanine, Caffeine, and Epigallocatechin Gallate on Cognitive Function and Mood: A Systematic Review and Meta-Analysis. Nutr Rev. 2014;72(8):507–22.

  15. 15.

    Levites Y, Weinreb O, Maor G, et al. Green Tea Polyphenol (–)-Epigallocatechin-3-Gallate Prevents N-methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine-Induced Dopaminergic Neurodegeneration. J Neurochem. 2001;78(5):10.

  16. 16.

    Zhu WL, Shi HS, Wei YM, et al. Green Tea Polyphenols Produce Antidepressant-like Effects in Adult Mice. Pharmacol Res. 2012;65:74–80.

  17. 17.

    Steptoe A, Gibson EL, Vuononvirta R, et al. The Effects of Tea on Psychophysiological Stress Responsivity and Post-stress Recovery: A Randomised Double-blind Trial. Psychopharmacol. 2007;190(1):81–9.

  18. 18.

    Caffeine LDR. Mental Health, and Psychiatric Disorders. J Alzheimers Dis Jad. 2010;20(suppl 1):S239–48.

  19. 19.

    Li FD, He F, Ye XJ, et al. Tea Consumption is Inversely Associated with Depressive Symptoms in the Elderly: A Cross-Sectional Study in Eastern China. J Affect Disord. 2016;199:157–62.

  20. 20.

    Mancini E, Beglinger C, Drewe J, et al. Green Tea Effects on Cognition, Mood and Human Brain Function: A Systematic Review. Phytomedicine. 2017:34:26–37.

  21. 21.

    Gilbert N. Drink Tea and Be Merry. Nature. 2019;566(7742):S8–9.

  22. 22.

    Chen X, Lu W, Zheng Y, et al. Exercise, Tea Consumption, and Depression Among Breast Cancer Survivors. J Clin Oncol. 2010;28(6):991–8.

  23. 23.

    Wang PW, Lin HC, Yeh YC, et al. The Relation of Substance Use with Different Levels of Depressive Symptoms and The Moderating Effect of Sex and Age in Taiwanese Adolescents. Compr Psychiatry. 2012;53:1013–20.

  24. 24.

    Feng L, Yan Z, Sun B, et al. Tea Consumption and Depressive Symptoms in Older People in Rural China. J Am Geriatr Soc. 2013;61:1943–7.

  25. 25.

    Kuriyama S, Hozawa A, Ohmori K, et al. Green Tea Consumption and Cognitive Function: A Cross-Sectional Study From the Tsurugaya Project. Am J Clin Nutr. 2006;83:355–61.

  26. 26.

    Niu K, Hozawa A, Kuriyama S, et al. Green Tea Consumption is Associated with Depressive Symptoms in the Elderly. Am J Clin Nutr. 2009;90:1615–22.

  27. 27.

    Pham NM, Nanri A, Kurotani K, et al. Green Tea and Coffee Consumption is Inversely Associated With Depressive Symptoms in A Japanese Working Population. Public Health Nutr. 2013;17:625–33.

  28. 28.

    Tsai AC, Chang TL, Chi SH. Frequent Consumption of Vegetables Predicts Lower Risk of Depression in Older Taiwanese-Results of A Prospective Population-Based Study. Public Health Nutr. 2011;15:1087–92.

  29. 29.

    Tsai AC, Chi SH, Wang JY. Cross-Sectional and Longitudinal Associations of Lifestyle Factors with Depressive Symptoms In ≥53-Year Old Taiwanese — Results of An 8-Year Cohort Study. Prev Med. 2013;57(2):92–7.

  30. 30.

    Kim J, Kim J. Green Tea, Coffee, and Caffeine Consumption Are Inversely Associated with Self-Report Lifetime Depression in the Korean Population. Nutrients. 2018;10(9):1201.

  31. 31.

    Feng L, Li J, Kua EH, et al. Association Between Tea Consumption and Depressive Symptoms in Older Chinese Adults. J Am Geriatr Soc. 2012;60(12):2358–60.

  32. 32.

    Dong X, Yang C, Cao S, et al. Tea Consumption and the Risk of Depression: A Meta-Analysis of Observational Studies. Aust N Z J Psychiatry. 2015;49(4):334–45.

  33. 33.

    Qiu L, Sautter J, Gu D. Associations Between Frequency of Tea Consumption and Health and Mortality: Evidence From Old Chinese. Br J Nutr. 2012;108(9):1–12.

  34. 34.

    Feng L, Li J, Ng TP, et al. Tea Drinking and Cognitive Function in Oldest-old Chinese. J Nutr Health Aging. 2012;16(9):754–8.

  35. 35.

    Demura S, Sato S. Relationships between depression, lifestyle and quality of life in the community dwelling elderly: a comparison between gender and age groups. J Physiol Anthropol Appl Hum Sci. 2003;22(3):159–66.

  36. 36.

    Glaesmer H, Riedel-Heller S, Braehler E, Spangenberg L, Luppa M. Age- and gender-specific prevalence and risk factors for depressive symptoms in the elderly: a population-based study. Int Psychogeriatr. 2011;23(8):1294–300.

  37. 37.

    Sonnenberg CM, Beekman AT, Deeg DJ, Van TW. Sex differences in late-life depression. Acta Psychiatr Scand. 2000;101:286–92.

  38. 38.

    Zeng Y. Chinese longitudinal healthy longevity survey and some research findings. Geriatr Gerontol Int. 2010;4(S1):49–52.

  39. 39.

    Zeng Y, Poston DL, Vlosky DA, Gu D. Healthy Longevity in China: Demographic, socioeconomic, and psychological dimensions. Dordrecht: Springer Publisher; 2008.

  40. 40.

    Zeng Y, Vaupel JW. Association of Late Childbearing with Healthy Longevity Among the Oldest-old in China. Popul Stud. 2004;58(1):37–53.

  41. 41.

    Zeng Y, Chen H, Shi X, et al. Health Consequences of Familial Longevity Influence Among the Chinese Elderly. J Gerontol. 2013;68(4):473–82.

  42. 42.

    Feng Q, Son J, Zeng Y. Prevalence and Correlates of Successful Ageing: A Comparative Study Between China and South Korea. Eur J Ageing. 2015;12(2):83–94.

  43. 43.

    Nunnally JC. Psychometric theory. New York: McGraw-Hill; 1967.

  44. 44.

    Ruusunen A, Lehto SM, Tolmunen T, Mursu J, Kaplan GA, Voutilainen S. Coffee, tea and caffeine intake and the risk of severe depression in middle-aged Finnish men: the Kuopio Ischaemic heart disease risk factor study. Public Health Nutr. 2010;13(8):1215–20.

  45. 45.

    Zeng Y, Vaupel JW. Functional capacity and self–evaluation of health and life of oldest old in China. Soc Issues. 2002;58(4):733–48.

  46. 46.

    Zhang W, Chen HS, Feng QS. Education and psychological distress of older Chinese: a longitudinal analysis by age, gender, and residence. J Aging Health. 2015;27(7):1170–98.

  47. 47.

    Jorm AF. Does old age reduce the risk of anxiety and depression? A review of epidemiological studies across the adult life span. Psychol Med. 2000;30(1):11–22.

  48. 48.

    Blazer DG, Burchett B, Service C, George LK. The association of age and depression among the elderly: an epidemiologic exploration. J Gerontol. 1991;46(6):210–5.

  49. 49.

    Yang YC, Lu FH, Wu JS, Wu CH, Chang CJ. The protective effect of habitual tea consumption on hypertension. Arch Intern Med. 2004;164:1534–40.

  50. 50.

    Tan EK, Tan C, Fook-Chong SMC, et al. Dose-dependent protective effect of coffee, tea, and smoking in Parkinson's disease: a study in ethnic Chinese. J Neurol Sci. 2003;216(1):163–7.

  51. 51.

    Setiawan VW, Zhang ZF, Yu GP, et al. Protective effect of green tea on the risk of chronic gastritis and stomach cancer. Int J Cancer. 2001;92:600–4.

  52. 52.

    Jian L, Xie LP, Lee AH, Binns CW. Protective effect of green tea against prostate cancer: a case-control study in Southeast China. Int J Cancer. 2004;108(1):130–5.

  53. 53.

    Zhang C, Zhang D. The influences of social activities on urban elderly people's health: based on CHARLS 2011. Popul Econ. 2016;5:55–63 (In Chinese).

  54. 54.

    Glass TA, CFM DL, Bassuk SS, Berkman LF. Social engagement and depressive symptoms in late life longitudinal findings. J Aging Health. 2006;18(4):604–28.

Download references

Acknowledgements

The authors would like to acknowledge the Chinese Longitudinal Healthy Longevity Survey, (PI: Professor Zeng Yi).

Funding

The work of S.K. (analyzing data and writing/revising the paper) is supported by National Social Science Foundation of China [17CRK023], National Science Foundation of China [71490734], Shanghai Education Development Foundation and Shanghai Municipal Education Commission [18SG05], and the research fund of School of Social Development and Public Policy of Fudan University. The work of Q.F. (drafting and revising the paper) is supported by the Global Asia Institute-JY Pillay Comparative Asia Research Center grant [CARC-2016-001], National University of Singapore, Singapore.

Author information

Affiliations

  1. School of Social Development and Public Policy, Fudan University, Shanghai, China
    • Ke Shen
    •  & Bin Zhang
  2. Department of Sociology & Centre for Family and Population Research (CFPR), National University of Singapore, AS1 #04-30, 11 Arts Link, Singapore, 117570, Singapore
    • Qiushi Feng
Authors
  1. Ke Shen
    View author publications
    You can also search for this author in
  2. Bin Zhang
    View author publications
    You can also search for this author in
  3. Qiushi Feng
    View author publications
    You can also search for this author in

Contributions

SK initiated and designed the study. SK and BZ analyzed and interpreted the results. SK and QF drafted and revised the paper. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Qiushi Feng.

Ethics declarations

Ethics approval and consent to participate

The data used in our research is secondary data. The data from CLHLS survey already obtained the ethical approval and informed consent, and was approved by research ethics committees of Duke University and Peking University (IRB00001052–13074).

Consent for publication

Not Applicable.

Competing interests

The authors declare that they have no competing interests. Qiushi Feng is a member of the editorial board (Associate Editor) of this journal.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Figure S1 Distribution of Scores of Depressive Symptom (the 2005 wave of CLHLS) (DOCX 45 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Shen, K., Zhang, B. & Feng, Q. Association between tea consumption and depressive symptom among Chinese older adults. BMC Geriatr 19, 246 (2019). https://doi.org/10.1186/s12877-019-1259-z

Download citation

Keywords

  • Tea
  • Depressive symptom
  • Elderly
  • Chinese

BMC Geriatrics

ISSN: 1471-2318

Contact us