| Literature DB >> 36129901 |
Anwar M Alhashem1, Rawan A Alghamdi1, Rawan S Alamri1, Wejdan S Alzhrani1, Maha S Alrakaf1, Njoud A Alzaid1, Abeer S Alzaben1.
Abstract
Dietary supplements are products containing dietary elements including vitamins, minerals, amino acids, herbs, or botanicals. They can aid consumers with low dietary intake and quality, as well as those with high demands, by boosting nutritious value. A cross-sectional study was conducted among adults living in Saudi Arabia aged between 18-60 years old using online self-administered questionnaire. Information regarding sociodemographic characteristics, use and type of dietary supplements, and attitude toward and patterns of dietary supplement use was collected. The chi-square test, Pearson correlations, and the independent t-test were used. In total, 531 participants (115 men and 416 women) were included. Approximately half of the participants (51.8%, n = 275) used dietary supplements. Participants who were using dietary supplements were significantly younger (29.16 ± 9.32 years), more highly educated (85.5%, n = 235), and worked in the health sector (63.7%, n = 100). Herbal supplement use was associated with older age and female sex. Single mineral supplements were used more frequently by married, female, pregnant, or breastfeeding participants and those not working in the health sector. Fatty supplements were used more frequently by participants with a higher level of education. Regarding the attitude toward dietary supplement use, women, single participants, and health care workers showed a significant positive attitude. In-depth investigation into the amount of and reasons for dietary supplement use in the health sector is required. Additionally, educating pregnant and breastfeeding women on the importance of dietary supplements is necessary.Entities:
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Year: 2022 PMID: 36129901 PMCID: PMC9491604 DOI: 10.1371/journal.pone.0274412
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Frequencies and percentages of sociodemographic variables by dietary supplement use (n = 531).
| Variables n (%) | All participants (n = 531) | Supplement users (n = 275) | Supplement nonusers (n = 256) | |
|---|---|---|---|---|
| Sex | ||||
| Female | 416 (78.3%) | 223 (53.6%) | 193 (46.4%) | 0.11 |
| Male | 115 (21.7%) | 52 (42.5%) | 63 (54.8%) | |
| Marital status | ||||
| Single | 335 (44.3%) | 132 (56.2%) | 103 (43.8%) | 0.16 |
| Married | 276 (52.0%) | 136 (49.3%) | 140 (50.7%) | |
| Divorced/Widowed | 20 (3.8%) | 7 (35.0%) | 13 (65.0%) | |
| Pregnant or breast feeding | ||||
| Pregnant | 23 (5.5%) | 18 (78.3%) | 5 (21.7%) | 0.03 |
| Breastfeeding | 24 (5.7%) | 10 (41.7%) | 14 (58.3%) | |
| Neither | 374 (88.8%) | 197 (52.7%) | 177 (47.3%) | |
| Chronic illness | ||||
| No | 479 (90.2%) | 246 (51.4%) | 233 (48.6%) | 0.55 |
| Yes | 52 (9.8%) | 29 (55.8%) | 23 (44.2%) | |
| Education | ||||
| Less than university | 109 (20.5%) | 40 (14.6%) | 69 (63.3%) | 0.001 |
| University and above | 422 (79.5%) | 235 (85.5%) | 187 (44.3%) | |
| Occupation sector | ||||
| Health | 157 (36.6%) | 100 (63.7%) | 57 (36.3%) | 0.009 |
| Non-health | 272 (63.4%) | 138 (50.7%) | 134 (49.3%) | |
| Income | ||||
| Less than 5,000 SR3 | 76 (14.3%) | 37 (48.7%) | 39 (51.3%) | 0.88 |
| 5,000 to 10,000 SR | 143 (26.9%) | 72 (50.3%) | 71 (49.7%) | |
| 10,000 to 16,000 SR | 128 (24.1%) | 68 (53.1%) | 60 (46.9%) | |
| More than 16,000 SR | 184 (34.7%) | 98 (53.3%) | 86 (46.7%) | |
| Region | ||||
| North | 103 (19.4%) | 57 (55.3%) | 46 (44.7%) | 0.55 |
| South | 75 (13.6%) | 40 (55.6%) | 32 (44.4%) | |
| East | 67 (12.6%) | 34 (52.2%) | 32 (47.8%) | |
| West | 103 (19.4%) | 46 (44.7%) | 57 (55.3%) | |
| Middle | 186 (35.0%) | 97 (52.2%) | 89 (47.8%) |
1Saudi Riyals
* P < 0.05
** P < 0.01
** P < 0.001
Fig 1a. The percentage of participants using dietary supplement, categorized in seven groups (n = 275). b. The percentage of participants using each dietary supplement (n = 275).
Fig 2The participants’ reasons for using dietary supplements (n = 275).
Significant association between sociodemographics and different types of dietary supplements.
| Sociodemographics | Types of dietary supplements |
| |
|---|---|---|---|
| Older age | Herbal | 0.011 | |
| Women | Single minerals | 0.006 | |
| Marital status | Single minerals | 0.016 | |
| Single status | Protein | Wald = 7.32 | 0.01 |
| Pregnant or breastfeeding | Single minerals | 0.0003 | |
| Undergraduate and graduate degrees | Fatty supplements | 0.040 | |
| Working in non-health occupation sector | Single minerals | 0.017 | |
| Earning between 10,000–16,000 SR | Single minerals | 0.035 |
* p < .05.
** p < .01.
*** p < .001.
r = correlation, t = t-test, F = Levene’s test, Wald = wald test
Logistic regression results for herbal and protein intake across sexes (N = 275).
| Variables |
|
| Wald |
|
| 95% CI for | |
|---|---|---|---|---|---|---|---|
| Lower | Upper | ||||||
| Herbal supplement | |||||||
| Sex | 0.98 | 0.37 | 6.92 | 1 | 2.67 | 1.29 | 5.57 |
| Protein supplement | |||||||
| Sex | 1.58 | 0.33 | 23.6 | 1 | 4.85 | 2.57 | 9.17 |
| Marital status | -0.76 | 0.28 | 7.32 | 1 | 0.47 | 0.27 | 0.81 |
** p < .01.
*** p < .001.
Fig 3The attitude of participants toward dietary supplement use (n = 275).
Significant association between sociodemographics and attitude toward dietary supplements.
| Sociodemographics | Positive Attitude | Association Tests | |
|---|---|---|---|
| Sex | Female | 0.04* | |
| Marital status | Single status | 0.01** | |
| Occupation sector | health workers | 0.01** |