| Literature DB >> 33119556 |
Bryan Stierman, Suruchi Mishra, Jaime J Gahche, Nancy Potischman, Craig M Hales.
Abstract
Dietary supplement use is common among children and adolescents. During 2013-2014, approximately one third of children and adolescents (persons aged ≤19 years) in the United States were reported to use a dietary supplement in the past 30 days, and use varied by demographic characteristics (1,2). Dietary supplements can contribute substantially to overall nutrient intake, having the potential to both mitigate nutrient shortfalls as well as to lead to nutrient intake above recommended upper limits (3). However, because nutritional needs should generally be met through food consumption according to the 2015-2020 Dietary Guidelines for Americans, only a few dietary supplements are specifically recommended for use among children and adolescents and only under particular conditions (4). The most recently released data from the National Health and Nutrition Examination Survey (NHANES) during 2017-2018 were used to estimate the prevalence of use among U.S. children and adolescents of any dietary supplement, two or more dietary supplements, and specific dietary supplement product types. Trends were calculated for dietary supplement use from 2009-2010 to 2017-2018. During 2017-2018, 34.0% of children and adolescents used any dietary supplement in the past 30 days, with no significant change since 2009-2010. Use of two or more dietary supplements increased from 4.3% during 2009-2010 to 7.1% during 2017-2018. Multivitamin-mineral products were used by 23.8% of children and adolescents, making these the products most commonly used. Because dietary supplement use is common, surveillance of dietary supplement use, combined with nutrient intake from diet, will remain an important component of monitoring nutritional intake in children and adolescents to inform clinical practice and dietary recommendations.Entities:
Mesh:
Year: 2020 PMID: 33119556 PMCID: PMC7641005 DOI: 10.15585/mmwr.mm6943a1
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Prevalence of any dietary supplement use and use of two or more dietary supplements in the past 30 days among children and adolescents (persons aged ≤19 years), by selected characteristics — United States, 2017–2018
| Characteristic | No. | % (95% CI) | |
|---|---|---|---|
| Any dietary supplement | ≥2 dietary supplements | ||
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| Female | 1,829 | 37.3 (33.7–41.0) | 7.7 (5.9–9.8) |
| Male | 1,854 | 30.8 (25.2–36.9)* | 6.5 (4.5–9.2) |
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| <2 | 591 | 21.8 (16.3–28.2) | 2.4 (0.6–6.1)† |
| 2–5 | 784 | 43.3 (37.6–49.2)§ | 8.3 (6.1–10.9)§ |
| 6–11 | 1,115 | 37.5 (33.5–41.6)§,¶ | 5.9 (3.6–8.9) |
| 12–19 | 1,193 | 29.7 (24.1–35.7)§,¶,** | 8.5 (5.9–11.6)§ |
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| White, non-Hispanic | 1,214 | 39.9 (33.5–46.5)††,§§ | 8.6 (5.9–11.9)†† |
| Black, non-Hispanic | 816 | 20.8 (16.4–25.8) | 1.8 (0.7–3.7) |
| Asian, non-Hispanic | 357 | 41.1 (32.1–50.6)††,§§ | 9.3 (5.3–14.8)†† |
| Hispanic | 935 | 26.9 (20.9–33.6) | 6.0 (3.6–9.2)†† |
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| ≤130% of FPL | 1,328 | 23.5 (16.6–31.7) | 4.0 (1.9–7.2)† |
| >130% to ≤350% of FPL | 1,209 | 34.5 (29.2–40.2) | 7.0 (5.5–8.7) |
| >350% of FPL | 706 | 45.9 (39.2–52.8)¶¶ | 11.1 (6.7–17.0)¶¶ |
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| Less than high school graduation or equivalent | 638 | 17.8 (11.9–25.0) | 1.8 (0.6–4.2) |
| High school graduation or equivalent or some college or associate degree | 2,030 | 33.7 (29.0–38.6) | 6.9 (5.2–8.8) |
| College graduate or above | 788 | 46.0 (39.3–52.9)*** | 10.8 (7.6–14.6)*** |
Abbreviations: CI = confidence interval; FPL = federal poverty level.
* Significantly different (p<0.05) from females.
† Estimate does not meet standards of reliability.
§ Significantly different (p<0.05) from age group <2 years.
¶ Significantly different (p<0.05) from age group 2–5 years.
** Significantly different (p<0.05) from age group 6–11 years.
†† Significantly different (p<0.05) from non-Hispanic Black children and adolescents.
§§ Significantly different (p<0.05) from Hispanic children and adolescents.
¶¶ Statistically significant linear trend (p<0.05) for household income.
*** Statistically significant linear trend (p<0.05) for education of household head.
FIGUREPrevalence of use of any dietary supplement* and use of two or more dietary supplements*,† in the past 30 days among children and adolescents aged ≤19 years, by age group — United States, 2009–2010 to 2017–2018
* Statistically significant linear trend (p<0.05) for any dietary supplement use in age group 12–19 years and use of two or more dietary supplements in all ages and in age groups 2–5 and 12–19 years.
† Estimate does not meet standards of reliability for use of two or more supplements for age group <2 years in 2017–2018 and 2–5 years in 2011–2012.
Prevalence of use of most frequently used dietary supplement product types in the past 30 days among children and adolescents (persons aged ≤19 years), by age group — United States, 2017–2018
| Product type | Age group (years), % (95% CI) | P-value for difference by age* | ||||
|---|---|---|---|---|---|---|
| All (n = 3,683) | <2 (n = 591) | 2–5 (n = 784) | 6–11 (n = 1,115) | 12–19 (n = 1,193) | ||
| Multivitamin-mineral | 23.8 (20.3–27.7) | 11.0 (7.3–15.5) | 34.6 (28.8–40.7) | 29.5 (24.5–34.8) | 17.3 (13.7–21.4) | <0.001 |
| Single ingredient vitamin D supplement | 3.6 (2.2–5.5) | 5.4 (2.8–9.3) | 1.7 (0.6–3.9) | 1.8 (0.8–3.5) | 5.4 (2.9–9.0) | <0.001 |
| Single ingredient vitamin C supplement | 3.0 (1.9–4.4) | 1.1 (0.1–4.6) | 2.0 (0.7–4.4) | 2.4 (1.6–3.5) | 4.2 (2.1–7.6) | 0.083 |
| Probiotic | 1.8 (1.1–2.8) | 1.9 (0.7–4.3) | 3.7 (1.9–6.2) | 2.0 (0.7–4.6) | 0.8 (0.3–1.7) | 0.020 |
| Melatonin | 1.3 (0.7–2.2) | 0.0 (0.0–0.6) | 1.4 (0.5–3.0) | 1.3 (0.7–2.3) | 1.5 (0.5–3.2) | 0.435 |
| Omega-3 fatty acid | 1.3 (0.6–2.4) | 0.5 (0.1–1.6) | 1.4 (0.5–3.0) | 1.2 (0.3–3.1) | 1.4 (0.3–3.9) | 0.707 |
| Botanical | 1.1 (0.6–1.9) | 0.5 (0.1–1.8) | 0.5 (0.1–1.3) | 0.3 (0.0–0.9) | 2.1 (0.8–4.6) | 0.001 |
| Multivitamin | 1.0 (0.5–1.6) | 1.2 (0.3–3.2) | 0.8 (0.2–2.0) | 0.6 (0.1–1.6) | 1.3 (0.6–2.4) | 0.361 |
Abbreviation: CI = confidence interval.
* p-values calculated using F-based second-order Rao-Scott test.