| Literature DB >> 21569629 |
Nasheen Naidoo1, Cynthia Chen, Salome A Rebello, Karl Speer, E Shyong Tai, Jeanette Lee, Sandra Buchmann, Isabelle Koelling-Speer, Rob M van Dam.
Abstract
BACKGROUND: To measure the content of cholesterol-raising diterpenes in coffee sold at the retailer level in Singapore, Indonesia and India and to determine the relationship of coffee consumption with lipid levels in a population-based study in Singapore.Entities:
Mesh:
Substances:
Year: 2011 PMID: 21569629 PMCID: PMC3115845 DOI: 10.1186/1475-2891-10-48
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Figure 1Traditional 'Sock' Method used in Singapore and Malaysia. (Used with kind permission of A. Cook, Ann Arbor, USA; http://www.flickr.com/photos/38668770@N00/372283340#/photos/amywcook/372283340/)
Figure 2South Indian metal 'filter' coffee instrument. (Creative Commons Attribution-Share Alike 3.0 Unported license. http://en.wikipedia.org/wiki/Indian_filter_coffee)
Figure 3HPLC chromatogram of a Singapore Chinese sample (λ = 224 nm).
Interview responses to coffee preparation methods from coffee retailers in Singapore, Indonesia and India (n = 27). Based on the requests of a standard cup of coffee (120 ml).
| n (%) | Singapore-Chinese | Singapore-Malay | Singapore-Indian | Indonesia (Jakarta) | India (Bangalore) |
|---|---|---|---|---|---|
| Preparation Method | |||||
| Unfiltered | 0 | 0 | 0 | 1 | 0 |
| Filtered (metal mesh) | 0 | 0 | 0 | 1 | 6 |
| Filtered (sock) | 7 | 5 | 3 | 2 | 0 |
| Instant | 0 | 0 | 2 | 0 | 0 |
| De-caffeinated coffee | 0 | 0 | 0 | 0 | 0 |
| Additives | |||||
| Margarine | 5 | 2 | 0 | 0 | 0 |
| Corn | 1 | 0 | 0 | 0 | 0 |
| Chicory | 0 | 0 | 2 | 0 | 5 |
| None | 1 | 3 | 3 | 4 | 1 |
| Servings | |||||
| Milk + sugar | 7 | 3 | 5 | 2 | 6 |
| Black | 0 | 2 | 0 | 2 | 0 |
Cafestol and kahweol concentrations of coffee samples and predicted effects on serum cholesterol for consuming 5 cups daily. Coffee samples are from Singapore, Indonesia, India (current study) and Europe (Urgert et al, 1995) using various brewing methods.
| # | # | ||||
| filtered ('sock') | 0.09 ± 0.064 (0.02 - 0.23) | 0.01 ± 0.02 (0.01 - 0.06) | 0.01 | <0.01 | |
| Singapore Chinese (n = 7) | filtered ('sock') | 0.13 ± 0.07 (0.04 - 0.23) | 0.02 ± 0.02 (0.00 - 0.06) | 0.01 | 0.01 |
| Singapore Malay (n = 4) | filtered ('sock') | 0.06 ± 0.05 (0.02 - 0.13) | 0.005 ± 0.01 (0.00 - 0.02) | 0.01 | <0.01 |
| Singapore Indian (n = 3) | filtered ('sock') only | 0.04 ± 0.02 (0.03 - 0.07) | 0.003 ± 0.005 (0.00 - 0.01) | <0.01 | <0.01 |
| filtered (metal) | 0.05 ± 0.04 (0.01 - 0.12) | 0.03 ± 0.03 (0.01 - 0.07) | <0.01 | <0.01 | |
| filtered ('sock', metal); unfiltered | 1.78 ± 1.78 (0.56 - 4.43) | 0.24 ± 0.24 (0.09 - 0.59) | 0.13 | 0.08 | |
| Indonesia (n = 2) | filtered ('sock') | 0.85 ± 0.42 (0.56 - 1.15) | 0.15 ± 0.08 (0.09 - 0.20) | 0.06 | 0.04 |
| Indonesia (n = 1) | filtered (metal) | 0.98 | 0.09 | 0.07 | 0.04 |
| Indonesia (n = 1) | unfiltered | 4.43 | 0.59 | 0.33 | 0.20 |
| Scandinavian boiled (n = 14)* | boiled | 2.4 ± 2.24 (0.64-9.68) | 3.12 ± 2.72 (0.8-11.68) | 0.18 | 0.11 |
| Turkish/Greek (n = 11)* | 3.12 ± 2.56 (0.4-8.0) | 3.12 ± 3.12 (0.08-8.56) | 0.23 | 0.14 | |
| French Press (n = 5)* | French press | 2.8 ± 0.96 (1.84-4.4) | 3.52 ± 1.68 (2.08-6.4) | 0.21 | 0.13 |
| Espresso: | |||||
| Italy (n = 10)* | espresso | 1.2 ± 0.8 (0.16-2.32) | 1.44 ± 1.04 (0.16-3.12) | 0.09 | 0.05 |
| Other (n = 21)* | espresso | 0.96 ± 0.72 (0.0-2.48) | 1.12 ± 0.88 (0.0-3.12) | 0.07 | 0.04 |
| Instant* | instant | 0.2 (0.0-0.6) | - | 0.01 | 0.01 |
| Drip filtered (n = 3)* | filtered (paper) | 0.08 ± 0.0 | - | 0.01 | <0.01 |
| Drip filtered (n = 3)* | filtered (nylon) | 0.64 ± 0.08 | - | 0.05 | 0.03 |
Data are means ± SD (range). 1 cup is 120 ml.
*Adapted from Urgert et al (1995b); for some of the samples no SD or range for cafestol or no data on kahweol was presented in this publication.# Based on the calculation proposed by Urgert and Katan (1997): Δcholesterol (mmol/l) = 0.015 × cafestol (mg/day) and Δtrigycerides (mmol/l) = 0.009 × cafestol (mg/day)
Characteristics of the Singapore Prospective Study (SP2) (N = 3000) by coffee consumption categories.
| Characteristic | Total | Never or <1 cup/week | <1cup/week to <1 cup/day | 1-2 cups/day | ≥3 cups/day | P value |
|---|---|---|---|---|---|---|
| Age (y) | 47.5 ± 11.2 | 45.3 ± 11.5 | 45.9 ± 11.4 | 49.0 ± 10.9 | 48.5 ± 10.1 | <0.001 |
| Gender | ||||||
| Male | 1348 (44.9) | 327 (36.7) | 159 (44.4) | 689 (45.7) | 173 (71.5) | |
| Female | 1652 (55.1) | 564 (63.3) | 199 (55.6) | 820 (54.3) | 69 (28.5) | <0.001 |
| Ethnicity | ||||||
| Chinese | 2058 (68.6) | 575 (64.5) | 254 (70.9) | 1063 (70.4) | 166 (68.6) | |
| Malay | 531 (17.7) | 183 (20.5) | 62 (17.3) | 243 (16.1) | 43 (17.8) | |
| Indian | 411 (13.7) | 133 (14.9) | 42 (11.7) | 203 (13.5) | 33 (13.6) | 0.074 |
| BMI (kg/m2) | 23.6 ± 4.3 | 23.4 ± 4.3 | 23.4 ± 4.6 | 23.7 ± 4.4 | 23.9 ± 3.9 | 0.159 |
| Education | ||||||
| Primary school and below | 705 (23.5) | 163 (18.3) | 75 (20.9) | 395 (26.2) | 72 (29.8) | |
| Secondary school | 1295 (43.2) | 378 (42.4) | 131 (36.6) | 681 (45.1) | 105 (43.4) | |
| Polytechnic and diploma | 518 (17.3) | 189 (21.2) | 67 (18.7) | 225 (14.9) | 37 (15.3) | |
| University | 482 (16.1) | 161 (18.1) | 85 (23.7) | 208 (13.8) | 28 (11.6) | <0.001 |
| Physical Activity (kcal/week) | 523.1 (268.9-952.7) | 522.3 (251.5-987.2) | 481.0 (268.0-826.4) | 530.8 (277.0-937.2) | 550.5 (273.3-1108.2) | 0.141 |
| Energy intake (kcal) | 1829.8 (1443.9-2336.6) | 1788.1 (1386.2-2278.7) | 1763.8 (1387.4-2324.7) | 1824.6 (1465.2-2304.1) | 2132.6 (1666.6-2647.2) | <0.001 |
| Fiber intake (g/1000 kcal) | 10.5 (9.1-12.3) | 10.9 (9.3-12.8) | 10.6 (9.3-12.4) | 10.5 (9.1-12.2) | 9.1 (7.9-10.8) | <0.001 |
| Cholesterol intake (mg/1000 kcal) | 115.4 (90.2-141.7) | 115.2 (88.8-142.7) | 110.9 (88.1-140.6) | 116.2 (91.0-140.3) | 119.6 (93.0-149.3) | 0.171 |
| PUFA intake (% of energy) | 5.3 (4.2-7.2) | 5.5 (4.2-7.6) | 5.3 (4.2-7.1) | 5.3 (4.2-7.2) | 4.8 (3.9-6.4) | 0.001 |
| MUFA intake (% of energy) | 9.7 ± 2.6 | 9.8 ± 2.7 | 9.8 ± 2.5 | 9.6 ± 2.6 | 9.5 ± 2.5 | 0.001 |
| SFA intake (% of energy) | 11.1 ± 2.8 | 11.1 ± 3.0 | 10.9 ± 2.6 | 11.1 ± 2.8 | 11.6 ± 2.8 | <0.001 |
| Cigarette Smoking | ||||||
| Never smoker | 2393 (79.8) | 782 (87.8) | 298 (83.2) | 1184 (78.5) | 129 (53.3) | |
| Past smoker | 240 (8.0) | 47 (5.3) | 24 (6.7) | 139 (9.2) | 30 (12.4) | |
| Current (<10 cigarettes/day) | 115 (3.8) | 26 (2.9) | 15 (4.2) | 62 (4.1) | 12 (5.0) | |
| Current (≥10 cigarettes/day) | 252 (8.4) | 36 (4.0) | 21 (5.9) | 124 (8.2) | 71 (29.3) | <0.001 |
| Alcohol Consumption | ||||||
| non-drinker | 2457 (81.9) | 755 (84.7) | 289 (80.7) | 1227 (81.3) | 186 (76.9) | |
| <1 serving/day | 479 (16.0) | 128 (14.4) | 62 (17.3) | 241 (16) | 48 (19.8) | |
| ≥1 serving/day | 64 (2.1) | 8 (0.9) | 7 (2.0) | 41 (2.7) | 8 (3.3) | 0.012 |
Abbreviations: PUFA - polyunsaturated fatty acids, MUFA - monounsaturated fatty acids, SAF - saturated fatty acids
Values are mean ± SD for continuous variables and n (%) for categorical variables.
The Kruskal-Wallis test (for non-normally distributed continuous variables), analysis of covariance (for normally distributed continuous variables) or the chi-squared test (for categorical variables) was used to compare participant characteristics across coffee consumption categories.
Mean serum lipid concentrations in the SP2 study (N = 3000) according to level of coffee consumption
| Concentration (geometric mean (95% CI)) | |||||||
|---|---|---|---|---|---|---|---|
| Fasting lipids, mmol/L | Never or <1 cup/week | 1 cup/week to <1 cup/day | 1-2 cups/day | ≥3 cups/day | Percentage difference between extreme groups | P for trend | |
| n = 891 | n = 358 | n = 1509 | n = 242 | ||||
| HDL-cholesterol | 1.32 (1.30 - 1.34) | 1.33 (1.30 - 1.36) | 1.33 (1.32 - 1.35) | 1.27 (1.23 - 1.31) | -3.79% | 0.057 | |
| LDL-cholesterol | 3.19 (3.13 - 3.24) | 3.14 (3.06 - 3.22) | 3.26 (3.22 - 3.30) | 3.31 (3.21 - 3.40) | 3.76% | 0.004 | |
| Triglycerides | 1.14 (1.10 - 1.18) | 1.17 (1.11 - 1.23) | 1.16 (1.13 - 1.19) | 1.25 (1.18 - 1.34) | 9.65% | 0.020 | |
| Total cholesterol | 5.14 (5.09 - 5.20) | 5.11 (5.02 - 5.20) | 5.24 (5.19 - 5.29) | 5.27 (5.16 - 5.38) | 2.53% | 0.005 | |
| HDL-cholesterol | 1.37 (1.34-1.41) | 1.39 (1.34-1.43) | 1.40 (1.37-1.43) | 1.35 (1.31-1.40) | -1.46% | 0.809 | |
| LDL-cholesterol | 3.05 (2.95-3.15) | 3.00 (2.88-3.11) | 3.10 (3.01-3.19) | 3.11 (2.98-3.23) | 1.97% | 0.098 | |
| Triglycerides | 1.23 (1.16-1.30) | 1.24 (1.16-1.33) | 1.21 (1.14-1.28) | 1.26 (1.17-1.36) | 2.44% | 0.762 | |
| Total cholesterol | 5.13 (5.03-5.24) | 5.09 (4.96-5.21) | 5.19 (5.09-5.29) | 5.18 (5.04-5.32) | 0.97% | 0.163 | |
| HDL-cholesterol | 1.38 (1.34-1.42) | 1.39 (1.35-1.43) | 1.40 (1.37-1.44) | 1.36 (1.31-1.41) | -1.19% | 0.976 | |
| LDL-cholesterol | 3.05 (2.96-3.15) | 3.00 (2.88-3.11) | 3.10 (3.01-3.19) | 3.10 (2.98-3.23) | 1.69% | 0.120 | |
| Triglycerides | 1.22 (1.15-1.30) | 1.24 (1.15-1.33) | 1.20 (1.14-1.27) | 1.24 (1.15-1.35) | 1.52% | 0.961 | |
| Total cholesterol | 5.14 (5.03-5.25) | 5.09 (4.96-5.22) | 5.20 (5.10-5.30) | 5.18 (5.04-5.32) | 0.78% | 0.183 | |
‡ Model 1: Adjustment for age (yr), gender (male, female), ethnicity (Chinese, Malay, Indian)
‡ ‡ Model 2: Adjustment for age (yr), gender (male, female), ethnicity (Chinese, Malay, Indian), BMI (kg/m2), smoking (non-smoker, ex-smoker, smoker <10cigarettes/day, smoker ≥10cigarettes/day), education (primary and below, secondary, polytechnic and diploma, university), physical activity (kcal/week), hypertension (yes, no), alcohol (non-drinker, <1serving/day, ≥ 1 serving day)
‡ ‡ ‡ Model 3: Adjustment for age (yr), gender (male, female), ethnicity (Chinese, Malay, Indian), BMI (kg/m2), smoking (non-smoker, ex-smoker, smoker <10cigarettes/day, smoker ≥10cigarettes/day), education (primary and below, secondary, polytechnic and diploma, university), physical activity (kcal/week), hypertension (yes, no), alcohol (non-drinker, <1serving/day, ≥ 1 serving day), energy intake (kcal), fiber (g/day/1000 kcal), cholesterol (mg/day/1000 kcal), PUFA (% of total energy), MUFA (% of total energy), SFA (% of total energy)