| Literature DB >> 32224928 |
Mikołaj Kamiński1, Matylda Kręgielska-Narożna1, Paweł Bogdański1.
Abstract
The internet provides access to information about dietary supplements and allows their easy purchase. We aimed to rank the interest of Google users in dietary supplements and to determine the changes that occurred in their popularity from 2004 to 2019. We used Google Trends to generate data over time on regional interest in dietary supplements (n = 200). We categorized each included supplement and calculated the interest in all topics in proportion to the relative search volume (RSV) of "lutein". We analyzed the trends over time of all topics and categories. Globally, the topics with the highest popularity were "magnesium", which was 23.72 times more popular than "lutein", "protein" (15.22 times more popular), and "iron" (15.12). The categories of supplements receiving most interest were protein (9.64), mineral (5.24), and vitamin (3.47). The RSV of seven categories of topics (amino acid, bacterial, botanical, fiber, mineral, protein, and vitamin) increased over time while two categories (enzyme and fat or fatty acid) saw a drop in their RSV. Overall, 119 topics saw an increase in interest over time, 19 remained stable, and 62 saw interest in them decrease. Google Trends provides insights into e-discourse and enables analysis of the differences in popularity of certain topics across countries and over time.Entities:
Keywords: Google Trends; PubMed; dietary supplements; internet; iron; magnesium; mineral; protein; ranking; vitamin
Mesh:
Substances:
Year: 2020 PMID: 32224928 PMCID: PMC7231191 DOI: 10.3390/nu12040908
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Popularity of categories of supplement-related topics in proportion to “lutein” (adjusted data; relative search volume (RSV) over time).
| No. | Topic | Number of Supplements in Category | Ratio of RSV to “Lutein” |
|---|---|---|---|
| 1. | Protein | 2 | 9.64 |
| 2. | Mineral | 16 | 5.24 |
| 3. | Vitamin | 17 | 3.47 |
| 4. | Fiber | 2 | 3.01 |
| 5. | Chemical | 19 | 1.76 |
| 6. | Bacterial | 3 | 1.34 |
| 7. | Fat or fatty acid | 18 | 1.13 |
| 8. | Botanical | 91 | 0.97 |
| 9. | Amino acid | 24 | 0.86 |
| 10. | Enzyme | 8 | 0.48 |
Popularity of the 20 most popular topics associated with dietary supplements, as a ratio with the value for “lutein” (adjusted data; relative search volume (RSV) over time).
| No. | Topic | Category | Ratio of RSV to “Lutein” |
|---|---|---|---|
| 1. | Magnesium | Mineral | 23.72 |
| 2. | Protein | Protein | 15.22 |
| 3. | Iron | Mineral | 15.12 |
| 4. | Calcium | Mineral | 13.74 |
| 5. | Vitamin D | Vitamin | 12.22 |
| 6. | Potassium | Mineral | 9.71 |
| 7. | Cobalamin | Vitamin | 9.36 |
| 8. | Caffeine | Chemical | 8.06 |
| 9. | Vitamin C | Vitamin | 7.38 |
| 10. | Omega-3 fatty acids | Fat or fatty acid | 6.80 |
| 11. | Creatine | Chemical | 6.77 |
| 12. | Folate | Vitamin | 6.67 |
| 13. | Zinc | Mineral | 6.36 |
| 14. | Aloe vera | Botanical | 6.11 |
| 15. | Ginger | Botanical | 5.91 |
| 16. | Dietary fiber | Fiber | 5.67 |
| 17. | Garlic | Botanical | 5.63 |
| 18. | Iodine | Mineral | 4.89 |
| 19. | Whey protein | Protein | 4.05 |
| 20. | Vitamin E | Vitamin | 3.86 |
Figure 1Correlation plot between the relative search volume (RSV) of each topic in proportion to the RSV of the topic “lutein” and the total number of publications in PubMed for the years 2004–2019. The plot gives the names of the topics which are outliers on the plot. The data are on an exponential scale.
Figure 2Supplements with the greatest interest by country. Countries with unique most popular supplements: Albania, boron; Angola, passion fruit; Armenia, burdock; Bhutan, cordyceps; Brunei, alfalfa; Cuba, chondroitin sulfate; Iceland, astaxanthin; Indonesia, garlic; Kosovo, iodine; Malaysia, vitamin C; Mauritius, holy basil; Montenegro, goji; Mozambique, Yohimbe; Nepal, ashwagandha; Netherlands, cobalamin; Sri Lanka, 4-aminobenzoic acid; Tanzania, nickel, Turkmenistan, glycine; Uganda, Beetroot.
Figure 3Time trends of relative search volumes of categories of dietary supplement-related topics.
Time series analysis of categories of topics related to dietary supplements.
| Topic | Seasonal Mann–Kendall Test | Slope (RSV/Year) | TBATS (Seasonality Present, Period (month)) | Month with the Highest Seasonal Component (RSV) | Month with the Lowest Seasonal Component (RSV) | Seasonal Component Amplitude (RSV) |
|---|---|---|---|---|---|---|
| Amino acid | tau = 0.44; *** | 0.47; *** | YES, 12 | March (3.04) | December (−6.57) | 9.61 |
| Bacterial | tau = 0.77; *** | 2.91; *** | YES, 12 | February (3.97) | December (−3.73) | 7.70 |
| Botanical | tau = 0.76; *** | 1.66; *** | YES, 12 | March (1.88) | December (−5.36) | 7.24 |
| Chemical | tau = 0.05; 0.307 | - | YES, 12 | February (2.51) | December (−6.08) | 8.59 |
| Enzyme | tau = −0.06; 0.228 | - | YES, 12 | October (4.06) | August (−6.82) | 10.88 |
| Fat or fatty acid | tau = −0.58; *** | −1.05; *** | YES, 12 | March (4.51) | December (−8.40) | 12.91 |
| Fiber | tau = 0.39; *** | 0.77; *** | YES, 12 | March (4.66) | December (−9.91) | 14.57 |
| Mineral | tau = 0.37; *** | 0.68; *** | YES, 12 | March (3.47) | December (−6.55) | 10.02 |
| Protein | tau = 0.74; *** | 3.11; *** | YES, 12 | March (5.07) | December (−14.02) | 19.09 |
| Vitamin | tau = 0.52; *** | 1.31; *** | YES, 12 | March (3.37) | December (−6.31) | 9.68 |
*** p-value < 0.001. TBATS—exponential smoothing state-space model with the Box–Cox transformation, autoregressive-moving average errors, trend, and seasonal component.
Figure 4Time trends for relative search volumes of the twenty most popular dietary supplement-related topics.