| Literature DB >> 29065492 |
Stacey K O'Brien1, Eva Malacova2, Jill L Sherriff3, Lucinda J Black4.
Abstract
Current dietary supplement use in Australia is not well described. We investigated the prevalence and predictors of supplement use in the Australian population (n = 19,257) using data from the 2014-2015 National Health Survey. We reported the prevalence of supplement use by sex and age group and investigated the independent predictors of supplement use in adults, adolescents, and children using multiple logistic regression models. A total of 43.2% of adults (34.9% of males, 50.3% of females), 20.1% of adolescents (19.7% of males, 20.6% of females), and 23.5% of children (24.4% of males, 22.5% of females) used at least one dietary supplement in the previous two weeks. The most commonly used supplements were multivitamins and/or multiminerals and fish oil preparations. In adults, independent predictors of supplement use included being female, increasing age, being born outside Australia and other main English-speaking countries, having a higher education level, having a healthy BMI compared to those who were obese, being physically active, and being a non-smoker. To our knowledge, this is the first detailed investigation of dietary supplement use in a nationally-representative sample of the Australian population. Future studies investigating the contribution of supplements to overall dietary intakes of vitamins, minerals, and omega-3 fatty acids are warranted.Entities:
Keywords: Australian Health Survey; dietary supplements; predictors; prevalence
Mesh:
Year: 2017 PMID: 29065492 PMCID: PMC5691770 DOI: 10.3390/nu9101154
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Prevalence (%, 95% CI) of supplement use in the previous two weeks for adults (aged ≥18 years, n = 14,560), adolescents (10–17 years, n = 1964), and children (≤9 years, n = 2733).
Adjusted logistic regression investigating independent predictors of dietary supplement use in Australian adults aged ≥18 years (n = 13,539).
| Adjusted OR (95% CI) 1 | |
|---|---|
| 1.94 (1.78, 2.10) | |
| 18–29 years | Reference category |
| 30–49 years | 1.17 (1.02, 1.34) |
| 50–69 years | 1.61 (1.40, 1.85) |
| ≥70 years | 1.87 (1.60, 2.19) |
| Australia | Reference category |
| Main English-speaking countries | 0.96 (0.85, 1.09) |
| Other | 1.13 (1.01, 1.26) |
| New South Wales | Reference category |
| Victoria | 1.01 (0.89, 1.14) |
| Queensland | 1.11 (0.98, 1.25) |
| South Australia | 1.06 (0.93, 1.21) |
| Western Australia | 1.06 (0.92, 1.21) |
| Tasmania | 1.08 (0.94, 1.24) |
| Northern Territory | 0.75 (0.62, 0.91) |
| Australian Capital Territory | 1.10 (0.95, 1.28) |
| Lowest quintile | Reference category |
| Second quintile | 1.01 (0.89, 1.15) |
| Third quintile | 1.11 (0.98, 1.27) |
| Fourth quintile | 1.06 (0.93, 1.21) |
| Highest quintile | 1.11 (0.97, 1.28) |
| None after school | Reference category |
| Certificate | 1.22 (1.09, 1.37) |
| Bachelor/Diploma | 1.46 (1.32, 1.63) |
| Postgraduate | 1.24 (1.06, 1.45) |
| Healthy weight | Reference category |
| Underweight | 1.13 (0.80, 1.60) |
| Overweight | 0.94 (0.85, 1.04) |
| Obese | 0.86 (0.77, 0.96) |
| Low | Reference category |
| Moderate | 1.12 (1.02, 1.24) |
| High | 1.39 (1.21, 1.60) |
| Never smoked | Reference category |
| Past smoker | 1.09 (0.99, 1.19) |
| Current smoker | 0.72 (0.63, 0.81) |
| Poor | Reference category |
| Fair | 1.05 (0.85, 1.29) |
| Good | 1.07 (0.88, 1.30) |
| Very good | 1.05 (0.87, 1.28) |
| Excellent | 0.98 (0.80, 1.21) |
| | 1.07 (0.79, 1.44) |
1 Adjusted for all other variables.
Adjusted logistic regression investigating independent predictors of dietary supplement use in Australian adolescents aged 10–17 years (n = 1317).
| Adjusted OR (95% CI) 1 | |
|---|---|
| 1.12 (0.82, 1.53) | |
| Australia | Reference category |
| Main English-speaking countries | 0.90 (0.44, 1.84) |
| Other | 1.44 (0.82, 2.54) |
| New South Wales | Reference category |
| Victoria | 1.10 (0.70, 1.73) |
| Queensland | 0.95 (0.57, 1.57) |
| South Australia | 0.79 (0.45, 1.36) |
| Western Australia | 1.42 (0.87, 2.31) |
| Tasmania | 1.40 (0.83, 2.37) |
| Northern Territory | 0.67 (0.31, 1.45) |
| Australian Capital Territory | 1.15 (0.66, 2.00) |
| Lowest quintile | Reference category |
| Second quintile | 1.12 (0.65, 1.95) |
| Third quintile | 1.11 (0.65, 1.91) |
| Fourth quintile | 1.13 (0.66, 1.92) |
| Highest quintile | 1.67 (0.99, 2.82) |
| Healthy weight | Reference category |
| Underweight | 0.55 (0.25, 1.22) |
| Overweight | 0.73 (0.50, 1.06) |
| Obese | 0.86 (0.47, 1.58) |
| 1.66 (0.84, 3.29) |
1 Adjusted for all other variables.
Adjusted logistic regression investigating independent predictors of dietary supplement use in Australian children aged ≤9 years (n = 2733).
| Adjusted OR (95% CI) 1 | |
|---|---|
| 0.91 (0.74, 1.21) | |
| New South Wales | Reference category |
| Victoria | 0.98 (0.72, 1.32) |
| Queensland | 0.99 (0.73, 1.34) |
| South Australia | 0.57 (0.39, 0.83) |
| Western Australia | 0.97 (0.70, 1.33) |
| Tasmania | 0.78 (0.53, 1.15) |
| Northern Territory | 0.78 (0.51, 1.19) |
| Australian Capital Territory | 0.47 (0.32, 0.71) |
| Lowest quintile | Reference category |
| Second quintile | 1.01 (0.71, 1.43) |
| Third quintile | 0.78 (0.54, 1.12) |
| Fourth quintile | 1.10 (0.78, 1.55) |
| Highest quintile | 1.19 (0.85, 1.68) |
1 Adjusted for all other variables.