| Literature DB >> 30373274 |
Clodagh O'Connor1, Dominique Glatt2, Lois White3, Raquel Revuelta Iniesta4.
Abstract
The prevalence of vitamin D deficiency in the United Kingdom is high, despite updated Scientific Advisory Committee on Nutrition (SACN) guidelines. Therefore, our aims were to identify population knowledge, attitudes and perceptions of vitamin D supplementation and factors contributing to supplement use in a UK adult population. A cross-sectional study was performed between April⁻June 2018 using a newly designed piloted questionnaire. Scores for knowledge were calculated as a percentage (Boland et al. 2015). Logistic regression analysis was used to predict supplement use. 209 participants (82% female), mean (±SD) age 34.9 (±12.3) completed the questionnaire. The mean (±SD) vitamin D knowledge score was 56.6% (±19.9%); only 48% were concerned about their vitamin D concentration and 57% did not take vitamin D. Most participants (86%) wished to learn more about vitamin D. Knowledge score (OR 2.5; p = 0.01; 95% CI 1.2⁻5.3), concern (OR 2.1; p = 0.03; 95% CI 1.0⁻4.2) and location (OR 0.3; p = 0.006; 95% CI 0.1⁻0.7) predicted supplemented use. Individuals living in England had 2.9 (95% CI 1.4⁻6.3) lower odds of taking vitamin D than those living in Scotland. As a result of these findings, this study suggests that vitamin D supplementation and fortification, alongside education strategies, may be an effective method for improving UK vitamin D health; however, more research is warranted.Entities:
Keywords: attitudes; fortification; knowledge; perceptions; supplementation; vitamin D
Mesh:
Substances:
Year: 2018 PMID: 30373274 PMCID: PMC6267199 DOI: 10.3390/ijerph15112387
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics of participants.
| Demographic | Sub-Group | |
|---|---|---|
|
| <65 years | 201 (96) |
| µ (±SD) (in years) | 34.9 (±12.3) years | |
|
| Underweight (<18.5 kg/m2) | 9 (4) |
| µ (±SD) (in kg/m2) | 24.5 (±4.3) | |
|
| Female | 171 (82) |
|
| Menopausal | 19 (9) |
|
| Scotland | 126 (60) |
|
| Undergraduate/Bachelor degree | 84 (40) |
|
| Yes | 41 (20) |
|
| Caucasian (White) | 187 (89.5) |
|
| Type 1—light/pale white | 27 (13) |
All percentages out of a total of 209 participants. Missing values accounted for Abbreviations: Frequency (n); Percentage (%); World Health Organisation (WHO); Body mass index (BMI); Mean (µ); Standard deviation (SD).
Figure 1Overall knowledge scores of participants (n = 208, one participant did not respond).
Participants’ knowledge of vitamin D (n = 208, one participant did not respond); 10 questions used in vitamin D knowledge score calculation.
| Answer | Correct (✓) | ||
|---|---|---|---|
|
| Sun | ✓ | 206 (99) |
|
| Sunlight | ✓ | 181 (87) |
|
| Oily Fish | ✓ | 110 (53) |
|
| Yes | ✘ | 27 (13) |
|
| Season | ✓ | 137 (66) |
|
| Bone health | ✓ | 171 (82) |
|
| No | ✘ | 146 (70) |
|
| 5 µg/200 IU | ✘ | 14 (7) |
|
| Individuals not outdoors often | ✓ | 183 (88) |
|
| March/April to September | ✓ | 163 (78) |
* Expresses percentages represent number of participants (n = 208) who selected the indicated answer Abbreviations: Frequency (n); Percentage (%); Correct answer option (✓); Incorrect answer option (✘); Reference nutrient intake (RNI).
Figure 2Vitamin D RNI knowledge of individuals aware of SACN 2016 guidelines. Participants’ (aware of the updated SACN 2016 vitamin D recommendations) knowledge on vitamin D RNI values (n = 58). Abbreviations: Reference nutrient intake (RNI); Scientific Advisory Committee on Nutrition (SACN).
UK participants’ sun exposure practices from March/April to September (n = 208, one participant did not respond).
| Answers | ||
|---|---|---|
|
| Seek direct sun | 117 (56) |
|
| Sometimes | 69 (33) |
Abbreviations: Frequency (n); Percentage (%).
Figure 3UK participants’ frequency of time spent outdoors in daylight from March/April to September (n = 208, one participant did not respond). Top left: Habitual number of days per week spent outdoors. Top right: Habitual number of hours per day spent outdoors. Bottom: Habitual time of day spent outdoors, not indicative of one single day; participants were able to select all relevant answers. Abbreviations: Not Specified (NS); Percentage (%).
UK participants’ perceptions of vitamin D supplementation (n = 209).
| Question | Answers and Sub-Categories | |
|---|---|---|
| Reasons for not taking supplement ( | “I think I get enough” | 43 (36) |
| Unaware of benefits of taking them | 30 (25) | |
| “I don’t know which one I should take” | 26 (22) | |
| “I don’t think it’s important” | 10 (9) | |
| Too expensive | 5 (4) | |
| “I don’t’ know how I can get them” | 3 (3) | |
| Other (additional participant reasons) | ||
| Forgetful/lazy/busy | 12 (10) | |
| Unnatural/dislike taking tablets | 3 (3) | |
| Unwell after use | 2 (2) | |
| Lack of research on benefit | 1 (1) | |
| Other | 4 (3) | |
| Non-specified | 3 (3) | |
| Reasons for taking supplement ( | Don’t get enough from sun exposure | 52 (57) |
| Good for my health | 46 (51) | |
| Don’t get enough from food | 42 (46) | |
| Healthcare professional advice | 22 (24) | |
| Updated guidelines recommendations | 18 (20) | |
| Other (additional participant reasons): | ||
| Friend/family advice | 13 (14) | |
| Mood/Seasonal Affective Disorder | 4 (4) | |
| Other | 6 (7) |
Abbreviations: Frequency (n); Percentage (%); United Kingdom (UK). ∧ Expresses percentage of participants not taking supplements (n = 118) who found reason for not taking supplement applicable. * Expresses percentage of participants taking supplements (n = 91) who found reason for taking supplement applicable.
Figure 4The distribution of vitamin D supplementation dosage by dosage groupings of the participants taking supplements and who know their dosage (n = 49). Abbreviations: Percentage (%); International Units (IU); micrograms (µg).
Factors contributing to vitamin D supplementation use. A logistic regression predicting likelihood of supplement use on relevant factors (n = 208, one participant did not respond).
| B | SE | Wald | df |
| Odds-Ratio | 95% CI | ||
|---|---|---|---|---|---|---|---|---|
|
|
| |||||||
| Nutrition-related qualifications | 0.223 | 0.445 | 0.252 | 1 | 0.616 | 1.250 | 0.523 | 2.990 |
| Knowledge score | 0.934 | 0.372 | 6.300 | 1 | 2.545 | 1.227 | 5.279 | |
| University degree | 0.458 | 0.413 | 1.228 | 1 | 0.268 | 1.581 | 0.703 | 3.555 |
| Location (1) | −1.067 | 1.386 | 0.593 | 1 | 0.441 | 0.344 | 0.023 | 5.200 |
| Location (2) | −1.076 | 0.394 | 7.465 | 1 | 0.341 | 0.158 | 0.738 | |
| Location (3) | −0.886 | 0.612 | 2.094 | 1 | 0.148 | 0.412 | 0.124 | 1.369 |
| Concern re levels (1) | 0.055 | 0.631 | 0.008 | 1 | 0.930 | 1.057 | 0.307 | 3.641 |
| Concern re levels (2) | 0.750 | 0.359 | 4.365 | 1 | 2.118 | 1.048 | 4.281 | |
| Levels tested (1) | −0.646 | 0.808 | 0.640 | 1 | 0.424 | 0.524 | 0.108 | 2.553 |
| Levels tested (2) | 0.757 | 0.510 | 2.204 | 1 | 0.138 | 2.131 | 0.785 | 5.785 |
| Willingness to purchase/consume fortified foods (1) | −0.654 | 0.626 | 1.091 | 1 | 0.296 | 0.520 | 0.153 | 1.773 |
| Willingness to purchase/consume fortified foods (2) | 0.109 | 0.541 | 0.041 | 1 | 0.840 | 1.116 | 0.386 | 3.221 |
| Constant | −1.198 | 0.621 | 3.719 | 1 | 0.054 | 0.302 | ||
Abbreviations: B coefficient (B); Standard Error (SE); Wald chi-square test (Wald); degrees of freedom (df); p-value (p); Confidence Interval (CI). * significance taken at p < 0.05 (in BOLD).