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. 2023 Feb 9;10:1051444. doi: 10.3389/fnut.2023.1051444

Table 1.

Characteristics of included studies.

References Country Female, % Age range (year) Design Sample size Cases Exposure Effect size (95%CI) Comparison ExposureAssessment Exposure (range of intake) OutcomeAssessment Follow-up (year) Adjustments
Hintikka et al. (34) Finland 55.7 25–64 Cross-sectional 2,011 210 Coffee
Tea
Tea: 0.47 (0.27–0.83) Coffee: 0.90 (0.54–1. 50) Daily (≥5 cups/day) vs. Not daily Questionnaire 0–≥5 cups/day 21-item BDI 1998–2005 Age, sex, current daily smoking, alcohol consumption patterns, marital status, employment status, length of basic education, having vocational training, economic hardship and poor subjective health, frequency of eating lake fish, sea fish, fresh vegetables, boiled vegetables, and fruits and use of multivitamin pills and fish oil capsules
Kendler et al. (35) Virginia 51.8 37.9 Cross-sectional 3706 NA Caffeine 1.79 (1. 47–2.17) At least several days per week vs. ≥625 mg of caffeine per day Interview 0–>650 mg/day DSM-III-R criteria 1995–1997 Age, gender
Niu et al. (36) Japan 57.3 607 women >70 Cross-sectional 1,058 361 Coffee
Green tea
Black or oolong tea:
Coffee: 0.82 (0.53– 1.27 Green tea: 0.56 (0.39– 0.81) Black or oolong tea: <1 cup/d: 0.82 (0.56– 1.20) ≥1 cups/d: 0.71 (0.49, 1.02) NA Questionnaire Coffee:
Almost never–≥1 cups/d
Tea: ≤1–≥4 cups/d
30-item GDS 2002–2009 Age, sex, BMI, hypertension, diabetes, history of cardiovascular diseases, cancer, or arthritis, high C-reactive protein, smoking and drinking habits, physical activity, cognitive status, impaired instrumental activities of daily living, body pain, education, living alone, marital status, serum albumin concentration, total energy intake, intakes per 2,000 kcal of energy intake as protein and folate, tea consumption (for coffee analysis), coffee consumption (for tea analysis), perceived social support, visiting friends
Ruusunen et al. (37) Finland 0 42–60 Prospective cohort 2,232 49 Coffee
Tea
Caffeine
Coffee 0.25(0.07- 0.91) Tea 1.40 (0/78- 2.51) Caffein 0.85 (0.34–2.15) Coffee:
>813 ml/day vs. never
Caffeine: > 781 mg/d
4d record Coffee: none->813 ml/d
Tea: yes/no
Caffeine:
>425 mg/d-781 mg/d
Diagnosed by a physician by ICD criteria ICD-9 17/5 years Age, examination years, socio-economic status, smoking, alcohol consumption, maximal oxygen uptake, BMI, and daily intakes of folate and PUFA
Smith (38) United
Kingdom
57 49.6 Cross-sectional 3,223 NA Caffeine 0.12 (0.1- 0.2) >250 mg/day Questionnaire <140–>260 Mg/d HADS NA NA
Chen et al. (39) China 100 53.7 Prospective cohort 1,399 363 Tea 0.39 (0.19 to 0.84) >100 g dried tea leaves/ mo. vs. never Interview 0 to >100 g dried tea leaves 20-item CES-D 2002–2006 Age at diagnosis, education, income, marital status, exercise, comorbidity, menopausal symptoms, relapse/metastasis, radiotherapy, and quality of life (SF-36 mental health index scale score)
Lucas et al. (40) USA 100 63 Prospective cohort 50,739 2,067 Coffee 0.82 (0.68–0.98) ≥4 cups/day vs. ≤1 cups/week FFQ 0–≥4 cups/day defined as self-reported physician-diagnosed depression and antidepressant use 1996–2006 Age, interval, total energy intake, menopausal hormones use, smoking, BMI, physical activities, marital status, social or community group involvement, self-reported history of diagnosis of diabetes, cancer, myocardial infarction or angina, high blood pressure, MHI score, a minimum latency of exposure of 8 years
Feng et al. (41) Singapore NA 55–93 Prospective cohort 1,615 73 Tea 0.30 (0.11–0.85) ≥6 cups/day vs. never Interview 0–≥6 cups/ day GDS-15 2005–2007 Age, education, housing type, marital status, physical exercise, social and productive activities summed score, MMSE total score, GDS total score
Feng et al. (42) China 59.3 68.6 Cross-sectional 1,368 285 Tea 0.58 (0.42–0.80) No or irregular consumption per month–daily consumption Asking participants No or irregular consumption per month–daily consumption 15-item CES-D June 2010 to July 2011 Age, education, housing type, marital status, physical exercise, social and productive activities summed score, MMSE total score, GDS total score
Pham et al. (43) Japan 40% 218 women 20–68 Cross-sectional 537 157 Coffee
Green tea
Caffeine
Coffee: 0.61(0.38- 0.98) Green tea: 0.54 (0.29- 1) Caffeine: 0.57 (0.30–1.05) Coffee:
≥2 cups/day vs. <1 cup/day
Caffeine:
≤100 mg/d–>291
Green tea: ≥4 cups/day vs. ≤1 cup/day
BDHQ Coffee:
<1–≥2 cups/day
Caffeine:
≤100 mg/day- >291 mg/day
Green tea:
≤1–≥4 cups/ day
20-item CES-D 2009–2013 Age, sex, workplace, cancer, CVD, diabetes or chronic hepatitis, marital & living status, overtime work, BMI, job position, smoking, physical activity, alcohol drinking, n-3 PUFA · red meat · vegetable · fruit · coffee · green tea consumption, serum C-reactive protein concentration, serum folate concentration
Tsai et al. (44) Taiwan 46.8 ≥53-year-old Prospective cohort Cross-sectional Longitudinal: 2,145
Cross sectional: 4,122
Longitudinal:
31/8%= 682 Cross sectional: 36.8%= 1,516
Tea Longitudinal: 0.83 (0.65–1.08) Cross-sectional: 0.63 (0.50–0.79) ≥3 times/ week vs. ≤2 times/week Interview ≤2 to ≥3 times/week 10-item CES-D 1999–2007 Age, sex, level of education, psychological stress, diabetes, heart disease, IADL status, family support, audio acuity
Park and Moon (45) Korea 59.6% 6,069 Women 20–97 Cross-sectional 10,177 425 Coffee 0.58 (0.44–0.76) ≥3 cups/day vs. ≤ 0.14 cups/day FFQ 0.14–3 cups/d Self-reported depression 2010–2011 Diseases and stroke, perceived stress level, coffee · green tea · soft drink · vegetable · fruit · blue-backed fish · bean · red meat consumption
Omagari et al. (36) Japan 13.3 41–82 Cross- sectional 89 15 Coffee 0.082 (0.009–0.711) Coffee: 0–2 vs. ≥3 cups/d FFQ 0–≥3 cups/day HADS April to September 2013 Sex, lipids, and n-6 PUFAs, the lipid and carbohydrate energy ratios
Guo et al. (46) USA 51.5 50–71 Prospective cohort (nested case-control) 252,612 11,311 Coffee
Tea
Tea: M: 1.21 (0.95–1.53) F:1.01 (0.92–1.32) Coffee M:0.90 (0.80–1.01) F:0.93 (0.84–1.04) None vs. ≥4 cups per day FFQ 0–≥4 Cups/day self-reported physician-diagnosed depression 1995–2006 Age, sex, race, education, marital status, smoking, alcoholic beverage intake, physical activity, BMI, energy intake
Ritchie et al. (47) France Cross-sectional: 61.3 longitudinal: 56.3 ≥65 Cross-sectional longitudinal Cross-sectional: 8,125
longitudinal: 5,785
Cross-sectional: 1,973 longitudinal: 1,076 Caffeine Cross-sectional: M: 0.94 (0.76- 1.18) F:0.92 (0.80- 1.06) Longitudinal: M: 0.85 (0.66- 1.08) F: 0.86 (0.74- 1.01) No comparison Interview ≥3 Cups/day
(≥3 units of caffeine, each unit = 100 mg
1 cup of coffee = 100 mg
1 cup of tea = 50 mg)
MINI NA Age and center, education, cardiovascular pathologies, hypertension, BMI, HDL cholesterol, triglycerides, mobility, baseline depressive symptoms
Taher et al. (48) Tripoli 68.5 38.7 ± 8.5 Cross-sectional 200 89 Tea or coffee 2.48 (1.36–4.54) Yes/no Questionnaire Yes/no DASS-21 July to October 2014 NA
Li et al. (49) China 51.8 70.7 Cross-sectional 9,371 979 Tea Green tea: 0.97 (0.80- 1.18) Black tea: 0.39 (0.23- 0.66) None vs. ≥3 cups/day interview based on a self-designed questionnaire 0–≥3 cups/day PHQ-9 NA Age and gender, race, education level, marital status, living status, income, vegetable intake, fruits intake, red meat intake, fish intake, eggs intake, smoking, alcohol drinking, physical activity, hypertension, diabetes, coronary heart disease, Activities of Daily Living Scale scores and Mini-Mental State Examination scores.
Chanda et al. (50) China 69.7 60–93 Cross-sectional 614 NA Tea
Coffee
Tea: 0.82 (0.71–0.95) Coffee: 0.86(0.71–1.04) Drinking coffee or tea for Less or more than 15 years Interviewer-administered questionnaire Drinking coffee or tea for Less or more than 15 years GDS-15 2011–2015 NA
Yu et al. (51) Atlantic Canada 68.9 35–69 Cross-sectional 18,838 3,217 Coffee Male: 1.11(0.85–1.45) Female: 1.38(1.15–1.64) Never vs. ≥ 4 cups/day Questionnaire 0–4 cups of coffee PHQ-9 2009–2013 Age, ethnicity, education, province of residence, smoking status, alcohol drinking, self-reported cardiovascular disease and diabetes, healthy eating index (in tertiles), total physical activity (in MET-min/week tertiles), and BMI
Kim et al. (52) Korea 59.7 ≥19 Cross-sectional 9,576 1,443 Green tea
Coffee
Caffeine
Green tea: 0.79 (0.63–0.99) Coffee: 0.68 (0.55–0.85) Caffeine: 0.76(0.62–0.92) Green tea never vs. ≥3 Cups/Week
Coffee: never vs. ≥2 cups/day
Caffeine:
≤22 mg/day vs. >122.9 mg/day
FFQ Green tea:
0–≥3 Cups/Week
Coffee:
0–≥2 cups/day
Caffeine: ≤22–>122.9 mg/day
Assessed by some questions NA Adjusted for age and sex, BMI, income level, education level, alcohol intake, smoking status, physical activity, intake of energy, vegetable, fruit, red meat, fish, and green tea (or coffee)
Navarro et al. (53) Navara 60 36.4 years Cohort study 14,413 199 Coffee 0.37 (0.15–0.95) <1 vs. ≥4 cups/day FFQ <1–≥4 cups/day two criteria simultaneously: (a) validated physician-diagnosed depression together with (b) new onset of habitual antidepressant use 10 years Adjusted for sex, alcohol intake (linear and quadratic term), years of university education, marital status, smoking, body mass index, total energy intake, adherence to the Mediterranean diet, between-meal snacking and following special diets, leisure-time physical activity (METS-h/week), hours of TV watching, hypertension at baseline, baseline high blood cholesterol, self-perception of competitiveness, anxiety, and psychological dependence, and use of anxiolytics, and stratified for age (decades) and recruitment period
Pogoda et al. (54) USA 50 47.3 Cross-sectional 1,342 132 Caffeine 1.40 (0.63- 3.11) First vs. forth quartile 24- h recall First-forth quartile PHQ-9 2009–2010 Adjusted for gender, race/ethnicity, smoking status, and use of antidepressants.
Iranpour et al. (55) USA 52.8 Aged ≥18 Cross-sectional 4,737 305 Caffeine 0.23 (0.06–0.8) First vs. forth quartile Dietary recall First-forth quartile PHQ-9 2005–2006 Age, sex, family PIR, education, marital status, disease history, sleep disorders, thyroid problems, physical activity, social support, smoking, total energy, cholesterol, retinol, vitamin A, beta-carotene, beta-cryptoxanthin, vitamin B1, iron, and phosphorus levels
Kimura et al. (56) Japan 100 65–94 A multi-center cross-sectional study 1,992 NA Coffee
Green tea
Caffeine
Coffee: 0.64 (0.46–0.88) Caffeine: 0.75 (0.55–1.02) Green tea: 0.85 (0.62–1.17) Coffee:
0–3 vs. 107–619 g/1,000 kcal
Green tea:
0–99 vs. 320–788 g/1,000 kcal
Caffeine:
0–119.2 vs. 234.9–758 mg/1,000 kcal
BDHQ Coffee:
0–619 g/1,000 kcal
green tea:
0–788 g/1,000 kcal)
caffeine:
0–758 mg/1,000 kcal
CES-D 2011–2012 Adjusted for age, residential block, living status(alone or not alone), current smoking (yes or no), alcohol drinking (yes or no), marital status(married or nit married), physical activity level (total metabolic equivalents-hour/day: METs), size of residential area (city with a population ≥1 million, a city with a population, BMI and education(junior high school, high school, junior college, and university and higher), EPA+DHA intake (mg/1000 kcal), folate intake(mcg/1000 kcal) dietary supplement (yes/no)
Ángeles Pérez-Ara et al. (57) Netherlands, United Kingdom, Germany, and Spain 75.3 18–75 Cross-sectional 941 312 Coffee
Tea
Coffee: 1.00 (0.60–1.65) Tea: 1.10 (0.63–1.92) Coffee:
<1 cup/d vs. > 3 cups/d
Tea:
<1 cup/d vs. > 3 cups/d
FFQ <1 cup/d–>3 cups/d 30-item self-administered questionnaire September 2015 and October 2016. Adjusted for the site, age, gender, marital status, level of education, BMI, MooDFOOD diet score, smoking, alcohol use, physical activity, high blood pressure, diabetes, and stomach or intestinal ulcer
Ng et al. (58) Singapore NA Mean age 67 years Prospective cohort study 3,177 57 Tea 0.34 (0.13- 0.90) None or <1 cup/d vs. ≥3 cups/d Reported habitual intake of common tea types using indigenous references None–≥3 cups/d GDS-15 Four years Age, sex, ethnicity, education, housing type, single/divorced/widowed, living alone, physical and social activity, smoking, alcohol, number of comorbidities, MMSE, and baseline GDS level
Kromhout et al. (59) Netherlands 59 82 years +9 Cross-sectional 206 145 Caffeine 0.6 (0.2–2.1) High vs. low Cups of coffee, tea, and cola consumed were observed and recorded six times a day. Low-normal-high MDS-DRS NA Age, gender, and stage of cognitive decline together with any of the following variables that were significantly related to the specific outcome (the use of psychotropic medication, marital status, Barthel Index total score, the presence of pain, cohort, and kidney function)
Safarini et al. (60) Palestine 61.2 NA Cross-sectional 1,051 598 Caffeine Coffee: 0.573 (0.261–1.255) Tea: 0.567 (0.270–1.189) NA Questionnaire NA BDI-II October 2020 and January 2021 Study year, gender, and academic field
Yao et al. (61) China 54.2% 83.7 Cross-sectional 13,115 NA Green tea 0.85 (0.76–0.95) Never or <1 cup/month vs. ≥1 Cup/daily Self-reported Never or <1 cup/month
<1 cup/day but ≥1 Cup/month
≥1 Cup/daily
CES-D-10 NA The demographic factors included age and sex. Socioeconomic conditions included education, socioeconomic status, rural residence, and geographical regions. Family/social support included marital status and living arrangements. Health behaviors included social and leisure activity index, smoking, alcohol drinking, BMI (as a proxy for unhealthy behaviors), and regular dietary (vegetable/fruit/fish/nut) intake. Health status were measured by self-rated health, of 13 cognitive impairment, medical illness, comorbidity, and disability in activities of daily living (ADL)

BMI, Body Mass Index; BDI, Beck Depression Inventory; GDS, Geriatric Depression Scale; CES-D, Center for Epidemiological Studies Depression Scale; PHQ-9, Patient Health Questionnaire; HADS, Hospital Anxiety and Depression scale; DASS, Depression Anxiety Stress Scale; MDS-DRS, Minimum Data Set-based Depression Rating Scale; MINI, Mini International Neuropsychiatric Interview; ICD, International Classification of Diseases; DSM, Diagnostic and Statistical Manual of Mental Disorders; FFQ, Food Frequency Questionnaire; BDHQ, Brief Dietary History Questionnaire.