| Literature DB >> 32104042 |
Yoichi Fukushima1, Yoshinari Takahashi2, Yoshimi Kishimoto3, Chie Taguchi3, Norie Suzuki3, Mihoko Yokoyama4, Kazuo Kondo3,5.
Abstract
PURPOSE: Hyperpigmentation of the skin can occur at any age depending on etiological factors but its intensity increases during adolescence in Japanese females and gradually develops further in adults. The purpose of this study was to characterize factors that influence skin hyperpigmentation, including age, skin type and dietary polyphenol sources. PATIENTS AND METHODS: A cross-sectional survey of healthy Japanese women aged from 30 to 60 years (n=244) was conducted using food and environmental questionnaires and a VISIA™ facial photoimage analyzer.Entities:
Keywords: coffee; green tea; photoaging; polyphenol; skin hyperpigmentation
Year: 2020 PMID: 32104042 PMCID: PMC7020926 DOI: 10.2147/CCID.S225043
Source DB: PubMed Journal: Clin Cosmet Investig Dermatol ISSN: 1178-7015
Profile of the Subjects and Their Consumption of TPs
| Number of Subjects | Summer | Winter | Total | |
|---|---|---|---|---|
| 131 | 113 | 244 | ||
| Age | Years | 44.4±8.0 | 48.7±5.3 | 46.4±7.2 |
| Body weight | kg | 51.8±6.5 | 50.9±6.1 | 51.4±6.3 |
| BMI | kg/m2 | 20.8±2.2 | 20.6±2.1 | 20.7±2.2 |
| Energy consumption | kcal/day | 1649±481 | 1552±479 | 1604±482 |
| Exercise | METs – h/week | 6.2±15.2 | 3.7±9.7 | 5.1±13.0 |
| Total polyphenol consumption | mg/day | 1279±864 | 1163±781 | 1225±827 |
| Beverage consumption | mL/day | 1566±783 | 1160±665 | 1378±757 |
| Coffee consumption | mL/day | 334±356 | 319±347 | 327±351 |
| Alcohol consumption | g/day | 2.7±5.2 | 3.0±5.2 | 2.8±5.2 |
| Ex-smoker | N(%) | 25(19.1%) | 0(0.0%) | 25(10.2%) |
| Usage for UV protection | ||||
| Sunscreen/Sun protection cosmetics | N(%) | 126(96.2%) | 100(88.5%) | 226(92.6%) |
| Sunshade or hat/cap | N(%) | 108(82.4%) | 74(65.5%) | 182(74.6%) |
| Long sleeves | N(%) | 28(21.4%) | 34(30.1%) | 62(25.4%) |
| Activity with sun exposure in the past | ||||
| Outdoor sportsa | N(%) | 12(9.2%) | 8(7.1%) | 20(8.2%) |
| Outdoor activities in the summerb | N(%) | 13(9.9%) | 4(3.5%) | 17(7.0%) |
Notes: Mean±SD. aNumber of subjects who did the outdoor sports including tennis, golf, bodyboarding, snowboarding and ski at least 5 years before. bNumber of subjects who did outdoor activities in the summer including mountain climbing and sea bathing once in a few years.
Abbreviation: MET, metabolic equivalents.
Figure 1Examples of VISIA UV photoimages and UV Pigmented Spot scores. Images of five subjects in the study; the number at the bottom of each image is the PS score.
Partial Correlations Between the Consumption of TPs and UV Pigmented Spot (PS) Score
| Summer (n=131) | Winter (n=113) | Total (n=244) | ||||
|---|---|---|---|---|---|---|
| Total polyphenol vs. | p | p | p | |||
| PS score | −0.218 | 0.013 | −0.216 | 0.022 | −0.224 | <0.001 |
| PS count | −0.190 | 0.031 | −0.192 | 0.043 | −0.196 | 0.002 |
| PS score/count | −0.211 | 0.016 | −0.188 | 0.048 | −0.212 | 0.001 |
Note: Control variable: age
Figure 2Distribution of UV Pigmented Spot scores and age of subjects in tertile groups divided by TP consumption, and UV Pigmented Spot development rate (PS score per year after reaching 18 years of age) and consumption of TPs. ANOVA p-value was p=0.002; *p=0.001 compared with the low TP consumption group.
PS Scores in Low and High TP Groups According to Skin Type, Skin Color and Melanin Index
| All Subjects | Low TP | High TP | p-valuea | |||||
|---|---|---|---|---|---|---|---|---|
| n | PS Score | n | PS Score | n | PS Score | |||
| Skin type | Ⅰ | 65 | 3.12±1.64 | 36 | 3.44±1.89 | 29 | 2.72±1.18 | 0.068 |
| Ⅱ | 136 | 2.74±1.61 | 72 | 2.88±1.78 | 64 | 2.58±1.38 | 0.276 | |
| Ⅲ | 43 | 1.56±1.08b | 14 | 1.62±1.01c | 29 | 1.53±1.14d | 0.785 | |
| p<0.001 | p=0.005 | p<0.001 | ||||||
| L* value | Low | 122 | 2.20±1.42 | 61 | 2.43±1.62 | 61 | 2.05±1.22 | 0.154 |
| High | 122 | 3.06±1.69 | 61 | 3.37±1.88 | 61 | 2.67±1.42 | 0.023 | |
| p<0.001 | p=0.004 | p=0.011 | ||||||
| Melanin index | Low | 122 | 3.20±1.79 | 61 | 3.61±2.05 | 61 | 2.70±1.41 | 0.006 |
| High | 122 | 2.06±1.18 | 61 | 2.19±1.18 | 61 | 2.02±1.22 | 0.445 | |
| p<0.001 | p<0.001 | p=0.005 | ||||||
Notes: Mean±SD. ap-value between high TP and low TP groups. bp<0.001. cp=0.002. dp=0.001 vs Skin type I.
Partial Correlations Between PS Scores and the Consumption of TPs from Different Sources of Food and Beverages
| Sources | TP Consumption (mg/day) | % Contribution | TP Consumption vs PS Score | |
|---|---|---|---|---|
| p | ||||
| Cereals and noodles | 10.4±10.2 | 1% | 0.034 | 0.602 |
| Fruits and vegetables | 87.9±59.9 | 7% | −0.024 | 0.709 |
| Other foods | 202±179 | 17% | −0.024 | 0.708 |
| Total foods | 300±203 | 25% | −0.027 | 0.680 |
| Coffee | 655±703 | 53% | −0.191 | 0.003 |
| Green tea | 103±174 | 8% | −0.136 | 0.034 |
| Other beverages | 167±152 | 14% | −0.144 | 0.024 |
| Total beverages | 925±784 | 75% | −0.230 | <0.001 |
| Total food and beverages | 1225±827 | 100% | −0.224 | <0.001 |
| All food and beverages except for coffee and green tea | 467±270 | 38% | −0.101 | 0.115 |
Note: Control variable: age
PS Scores and the Consumption of TPs in Groups of Subjects with High and/or Low Consumption of Coffee and Green Tea
| Group | n | PS Score | TPs from Coffee | TPs from Green Tea | TPs from All Foods and Beverages | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| p-valuea | mg/day | p-valuea | mg/day | p-valuea | mg/day | p-valuea | ||||
| Coffee | Low | 118 | 3.01±1.79 | 108±114 | 84±134 | 639±357 | ||||
| High | 126 | 2.28±1.36 | <0.001 | 1166±634 | <0.001 | 121±203 | 0.091 | 1774±763 | <0.001 | |
| Green tea | Low | 118 | 2.85±1.79 | 611±679 | 13±14 | 1053±773 | ||||
| High | 126 | 2.40±1.39 | 0.029 | 701±727 | 0.319 | 198±211 | <0.001 | 1405±846 | 0.001 | |
| Coffee (C) and Green tea (GT)b | Group 1 (low in both) | 56 | 3.22±2.06 | 70±98 | 9±11 | 491±273 | ||||
| Group 2 (low C and high GT) | 62 | 2.81±1.49 | 0.361 | 143±117 | 0.719 | 151±157 | <0.001 | 773±372 | 0.027 | |
| Group 3 (high C and low GT) | 62 | 2.43±1.21 | 0.019 | 1157±572 | p<0.001 | 13±13 | 0.998 | 1636±678 | <0.001 | |
| Group 4 (high in both) | 64 | 2.13±1.49 | 0.001 | 1176±693 | p<0.001 | 226±243 | <0.001 | 1907±820 | <0.001 | |
Notes: Mean±SD. aComparisons were made between low TP and high TP groups or vs Group 1 (low in both). bANOVA p-values were p=0.001 for PS Score and p<0.001 for TPs from coffee, TPs from green tea, and TPs from all foods and beverages.