| Literature DB >> 35409746 |
Caihong Xiang1, Jing Luo1, Guilian Yang2, Minghui Sun1, Hanmei Liu1, Qiping Yang1, Yufeng Ouyang1,3, Yue Xi1, Cuiting Yong1, Muhammad Jamal Khan1, Qian Lin1.
Abstract
This study aimed to examine the prevalence, associated factors and perceptions of dietary supplement use among pregnant Chinese women. A cross-sectional study was conducted to collect data about prevalence, purchase channels, perceptions, and related factors of dietary supplement use from 572 pregnant women, through a face-to-face survey, using a self-designed questionnaire. Of the respondents, 94.8% used at least one dietary supplement, whereas 29.8% used more than four supplements in the previous month. The majority of the pregnant women were highly educated (81.2% had a bachelor's degree or above) and had the perception that dietary supplements could prevent and improve (89.2%), or treat, nutrition-related diseases (78.7%). Multivariate analysis showed that pregnant women who had used multiple (more than four) supplements were more likely to have a larger gestational age, received fertility treatment, more prenatal visits, and hypothyroidism during pregnancy. Furthermore, pregnant women not only purchased dietary supplements through hospitals (72.6%) and pharmacies (45.1%), but overseas Daigou or online purchases (31.8%) were also a major channel of purchase. A high prevalence of dietary supplement use during pregnancy was observed, with extensive and repeated consumption of nutrients. Pregnant women's craze for dietary supplements calls for more comprehensive guidelines in China.Entities:
Keywords: dietary supplements; perception; pregnant women; prevalence
Mesh:
Year: 2022 PMID: 35409746 PMCID: PMC8998507 DOI: 10.3390/ijerph19074063
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Prevalence of dietary supplement use among pregnant women by demographic characteristics (n = 572).
| Types of Dietary Supplements Used ( | ||||||
|---|---|---|---|---|---|---|
| Characteristics | 0 | 1–3 | 4–6 |
|
| |
| Total | 572 (100%) | 30 (5.2) | 372 (65.0) | 170 (29.8) | ||
| Age (years) * | 7.796 | 0.091 | ||||
| ≤25 | 74 (13.0) | 8 (10.8) | 51 (68.9) | 15 (20.3) | ||
| 26–35 | 437 (76.6) | 20 (4.6) | 284 (65.0) | 133 (30.4) | ||
| 36–45 | 59 (10.4) | 2 (3.4) | 36 (61.0) | 21 (35.6) | ||
| Educational level * | 14.072 | 0.005 | ||||
| Junior high school and below | 33 (5.8) | 4 (12.1) | 25 (75.8) | 4 (12.1) | ||
| High school | 74 (13.0) | 7 (9.5) | 51 (68.9) | 16 (21.6) | ||
| Bachelor degree and above | 461 (81.2) | 19 (4.2) | 292 (63.3) | 150 (32.5) | ||
| Employed during pregnancy * | 2.256 | 0.314 | ||||
| Yes | 484 (85.1) | 23 (4.8) | 314 (64.9) | 147 (30.3) | ||
| No | 85 (14.9) | 7 (8.2) | 56 (65.9) | 22 (25.9) | ||
| Household register * | 1.328 | 0.515 | ||||
| Rural area | 269 (47.2) | 17 (6.3) | 175 (65.1) | 77 (28.6) | ||
| Urban | 301 (52.8) | 13 (4.3) | 195 (64.8) | 93 (30.9) | ||
| Income (RMB/month) * | 12.480 | 0.014 | ||||
| 2000–5999 | 97 (17.4) | 8 (8.2) | 71 (73.2) | 18 (18.6) | ||
| 6000–9999 | 213 (38.2) | 15 (7.0) | 128 (60.1) | 70 (32.9) | ||
| ≥10,000 | 247 (44.4) | 7 (2.8) | 161 (65.2) | 79 (32.0) | ||
| Pre-pregnancy BMI * | 3.311 | 0.507 | ||||
| Underweight | 97 (17.1) | 3 (3.1) | 59 (60.8) | 35 (36.1) | ||
| Healthy weight | 402 (70.9) | 23 (5.7) | 267 (66.4) | 112 (27.9) | ||
| Overweight/Obese | 68 (12.0) | 4 (5.9) | 43 (63.2) | 21 (30.9) | ||
| Gestational stage | 48.037 | <0.001 | ||||
| First trimester | 123 (21.5) | 4 (3.3) | 112 (91.1) | 7 (5.6) | ||
| Second trimester | 323 (56.5) | 19 (5.9) | 188 (58.2) | 116 (35.9) | ||
| Third trimester | 126 (22.0) | 7 (5.6) | 72 (57.1) | 47 (37.3) | ||
| Number of fetuses | 3.685 | 0.148 | ||||
| 1 | 543 (94.9) | 30 (5.5) | 356 (65.6) | 157 (28.9) | ||
| ≥2 | 29 (5.1) | 0 (0.0) | 16 (55.2) | 13 (44.8) | ||
| Way of pregnancy * | 9.887 | 0.005 | ||||
| Natural | 503 (90.6) | 29 (5.8) | 332 (66.0) | 142 (28.2) | ||
| ART | 52 (9.4) | 1 (1.9) | 25 (48.1) | 26 (50.0) | ||
| Number of pregnancies * | 17.673 | 0.001 | ||||
| 1 | 273 (48.7) | 5 (1.8) | 189 (69.2) | 79 (28.9) | ||
| 2 | 150 (26.7) | 15 (10.0) | 96 (64.0) | 39 (26.0) | ||
| ≥3 | 138 (24.6) | 10 (7.2) | 79 (57.3) | 49 (35.5) | ||
| Number of deliveries * | 8.649 | 0.072 | ||||
| 0 | 351 (62.0) | 13 (3.7) | 225 (64.1) | 113 (32.2) | ||
| 1 | 194 (34.3) | 14 (7.2) | 129 (66.5) | 51 (26.3) | ||
| ≥2 | 21 (3.7) | 3 (14.3) | 14 (66.7) | 4 (19.0) | ||
| Number of abortions * | 14.551 | 0.005 | ||||
| 0 | 378 (67.1) | 15 (4.0) | 261 (69.0) | 102 (27.0) | ||
| 1 | 122 (21.7) | 13 (10.7) | 71 (58.2) | 38 (31.1) | ||
| ≥2 | 63 (11.2) | 2 (3.2) | 34 (54.0) | 27 (42.8) | ||
| Number of antenatal visits * | 33.833 | <0.001 | ||||
| ≤5 | 284 (54.0) | 18 (6.3) | 211 (74.3) | 55 (19.4) | ||
| 6 to 10 | 192 (36.5) | 4 (2.1) | 116 (60.4) | 72 (37.5) | ||
| ≥10 | 50 (9.5) | 3 (6.0) | 22 (44.0) | 25 (50.0) | ||
| Planned pregnancy * | 0.826 | 0.662 | ||||
| Yes | 373 (65.8) | 17 (4.6) | 243 (65.1) | 113 (30.3) | ||
| No | 194 (34.2) | 12 (6.2) | 127 (65.5) | 55 (28.3) | ||
| Iron deficiency anemia * | 8.948 | 0.010 | ||||
| Yes | 84 (14.7) | 0 (0.0) | 52 (61.9) | 32 (38.1) | ||
| No | 487 (85.3) | 30 (6.2) | 320 (65.7) | 137 (28.1) | ||
| Hypothyroidism * | 12.368 | 0.002 | ||||
| Yes | 72 (12.6) | 1 (1.4) | 37 (51.4) | 34 (47.2) | ||
| No | 499 (87.4) | 29 (5.8) | 335 (67.1) | 135 (27.1) | ||
ART: Assisted reproductive technology. * There are missing data.
Figure 1Usage rate of several common dietary supplements in different stages of pregnancy (n = 572).
Figure 2Repeated supplement rate of several common nutrients among pregnant women (n = 572).
Information sources and purchase channels of dietary supplements.
| Variable |
| (%) | |
|---|---|---|---|
| Information sources for DS | |||
| Doctor | 400 | 69.9 | |
| Family or friends | 286 | 50.0 | |
| Network knowledge | 272 | 47.6 | |
| Newspaper or magazine | 118 | 20.6 | |
| Advertising | 43 | 7.6 | |
| Purchase channels | |||
| Hospitals | 415 | 72.6 | |
| Pharmacies | 258 | 45.1 | |
| Overseas Daigou or online purchases | 182 | 31.8 | |
| Community | 29 | 5.1 | |
| Other places | 22 | 3.8 |
DS: dietary supplement.
Pregnant women’s perceptions of dietary supplement use.
| Item | Approval (%) |
|---|---|
| DS can prevent nutrition-related diseases during pregnancy. | 89.2 |
| DS can improve/treat nutrition-related diseases during pregnancy. | 78.7 |
| In the case of good nutrition and health during pregnancy, there is no need to DS. | 34.8 |
| In the case of malnutrition symptoms/disease during pregnancy, it is necessary to use DS. | 96.0 |
| Before taking DS, it is important to have a basic understanding/knowledge of DS. | 94.1 |
| Before taking DS, it is important to consult a professional nutritionist or obstetrician. | 92.3 |
| DS can cause nausea, vomiting, and symptoms of constipation and indigestion. | 36.7 |
| Taking DS during pregnancy is very important. | 84.3 |
| I can judge from the nutrition label of the DS whether it is suitable for my own use. | 53.3 |
DS: dietary supplement.
Logistic regression analysis results of factors related to pregnant women using multiple dietary supplements *.
| Variables | β | Wald χ2 | OR (95% CI) |
|
|---|---|---|---|---|
| Educational level (vs. Junior high school and below) | 11.338 | |||
| High school | 1.090 | 2.362 | 2.975 (0.741, 11.947) | 0.124 |
| Bachelor degree and above | 1.899 | 7.894 | 6.680 (1.776, 25.124) | 0.005 |
| Gestational stage (vs. First trimester) | 24.765 | |||
| Second trimester | 2.156 | 24.713 | 8.633 (3.690, 20.195) | <0.001 |
| Third trimester | 1.987 | 16.105 | 7.293 (2.764, 19.248) | <0.001 |
| ART conception vs. Natural conception | 1.278 | 9.298 | 3.588 (1.578, 8.158) | 0.002 |
| Number of antenatal visits (vs. ≤5) | 7.142 | |||
| 6 to 10 | 0.510 | 4.467 | 1.665 (1.038, 2.671) | 0.035 |
| ≥11 | 1.004 | 5.921 | 2.728 (1.216, 6.124) | 0.015 |
| Hypothyroidism (yes vs. no) | 0.658 | 4.956 | 1.931 (1.082, 3.446) | 0.026 |
ART: Assisted reproductive technology. * Regression model with adjustments for pregnant women’s age, employment during pregnancy, household register, income, pre-pregnancy BMI, pregnancy status, number of pregnancies, number of fetuses, number of abortions, planned pregnancy, and iron deficiency anemia; the test level of the introduction of variables α = 0.05, the inspection level of excluding variables α = 0.10.