| Literature DB >> 34118901 |
Jinli Xian1,2,3, Mao Zeng1,2,3, Zhengjie Cai1,2,3, Changxiao Xie1,2,3, Yuqian Xie4, Manoj Sharma5, Yong Zhao6,7,8,9, Zumin Shi10.
Abstract
BACKGROUND: This study aims to examine the effects of the request and purchase of Television (TV) advertised foods on children's dietary intake, overweight and obesity in China.Entities:
Keywords: Children; Dietary intake; Food advertisements; Obesity; Purchasing behaviour; Television
Mesh:
Year: 2021 PMID: 34118901 PMCID: PMC8199678 DOI: 10.1186/s12889-021-11191-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sample characteristics of participants (n = 1417)
| Variables | Overweight/Obesity | |||
|---|---|---|---|---|
| Total populations | No ( | Yes ( | ||
| n (%) or Mean ± SD | n (%) or Mean ± SD | n (%) or Mean ± SD | ||
| 10.9 ± 3.3 | 11.0 ± 3.3 | 10.2 ± 3.1 | < 0.001 | |
| Boy | 725 (51.2%) | 570 (49.0%) | 155 (61.3%) | < 0.001 |
| Girl | 692 (48.8%) | 594 (51.0%) | 98 (38.7%) | |
| Han | 1229 (86.7%) | 995 (85.5%) | 234 (92.5%) | 0.003 |
| Minority | 188 (13.3%) | 169 (14.5%) | 19 (7.5%) | |
| Illiterate/primary school | 895 (63.2%) | 711 (61.1%) | 184 (72.7%) | 0.002 |
| Junior middle school | 368 (26.0%) | 316 (27.1%) | 52 (20.6%) | |
| High middle school or higher | 154 (10.9%) | 137 (11.8%) | 17 (6.7%) | |
| Low | 473 (33.4%) | 410 (35.2%) | 63 (24.9%) | 0.002 |
| Medium | 474 (33.5%) | 388 (33.3%) | 86 (34.0%) | |
| High | 470 (33.2%) | 366 (31.4%) | 104 (41.1%) | |
| Urban | 523 (36.9%) | 414 (35.6%) | 109 (43.1%) | 0.025 |
| Rural | 894 (63.1%) | 750 (64.4%) | 144 (56.9%) | |
| Low | 473 (33.4%) | 402 (34.5%) | 71 (28.1%) | < 0.001 |
| Medium | 472 (33.3%) | 400 (34.4%) | 72 (28.5%) | |
| High | 472 (33.3%) | 362 (31.1%) | 110 (43.5%) | |
| < 1 | 1157 (81.7%) | 968 (83.2%) | 189 (74.7%) | 0.002 |
| ≥ 1 | 260 (18.3%) | 196 (16.8%) | 64 (25.3%) | |
| < 1 | 1118 (78.9%) | 940 (80.8%) | 178 (70.4%) | < 0.001 |
| ≥ 1 | 299 (21.1%) | 224 (19.2%) | 75 (29.6%) | |
| < 1 | 1177 (83.1%) | 975 (83.8%) | 202 (79.8%) | 0.132 |
| ≥ 1 | 240 (16.9%) | 189 (16.2%) | 51 (20.2%) | |
| 1554.2 ± 569.1 | 1534.3 ± 567.2 | 1645.6 ± 570.2 | 0.004 | |
| 58.3 ± 31.3 | 57.1 ± 31.2 | 63.7 ± 31.0 | < 0.001 | |
| 53.9 ± 21.9 | 52.9 ± 21.7 | 58.5 ± 22.6 | < 0.001 | |
| 203.2 ± 85.9 | 201.9 ± 85.2 | 209.3 ± 88.9 | 0.254 | |
Association of the request and purchase of TV advertised foods and dietary intake among children attending the CHNS (n = 1417)
| Independent variables | N | Dietary intake | |||
|---|---|---|---|---|---|
| Energy intake (kcal/d), mean (SD) | Fat intake (g/d), mean (SD) | Protein intake (g/d), mean (SD) | Carbohydrates intake (g/d), mean (SD) | ||
| < 1 | 1157 | 1550.1 (571.9) | 58.0 (31.5) | 53.4 (22.0) | 203.4 (86.8) |
| ≥ 1 | 260 | 1572.5 (557.4) | 59.7 (30.4) | 56.1 (21.4) | 202.4 (82.3) |
| 0.548 | 0.313 | 0.040 | 0.993 | ||
| < 1 | 1118 | 1534.8 (562.1) | 57.5 (31.3) | 52.6 (21.6) | 201.4 (85.8) |
| ≥ 1 | 299 | 1626.7 (590.1) | 61.3 (30.9) | 58.6 (22.7) | 209.7 (86.1) |
| 0.022 | 0.025 | < 0.001 | 0.124 | ||
| < 1 | 1177 | 1528.1 (557.1) | 57.2 (31.1) | 52.8 (21.4) | 200.3 (84.6) |
| ≥ 1 | 240 | 1682.4 (610.0) | 63.7 (31.5) | 59.3 (23.6) | 217.5 (91.2) |
| < 0.001 | 0.001 | < 0.001 | 0.006 | ||
Association (OR, 95%CI) between the request and purchase of TV advertised foods and overweight and obesity among children attending the CHNS (n = 1417)
| Independent variables | Model 1a | Model 2b |
|---|---|---|
| OR (95% CI) | OR (95% CI) | |
| < 1 | Reference | Reference |
| ≥ 1 | 1.54 (1.11–2.13)* | 1.39 (1.00–1.95) |
| < 1 | Reference | Reference |
| ≥ 1 | 1.70 (1.25–2.32)** | 1.59 (1.15–2.18)** |
| < 1 | Reference | Reference |
| ≥ 1 | 1.50 (1.05–2.16)* | 1.46 (1.01–2.11)* |
a Model 1: adjusted for age, gender, intake of energy
b Model 2: additional adjustment for ethnicity, education, income, urbanisation index, residence (urban/rural)
A total of 6 logistic regression models were used, two models for each exposure variable.
* P < 0.05, ** P < 0.01