| Literature DB >> 18684334 |
Manolis Linardakis1, Katerina Sarri, Maria-Styliani Pateraki, Manolis Sbokos, Anthony Kafatos.
Abstract
OBJECTIVE: To assess the intake of sugar-added beverages such as soft drinks and commercially available fruit juices in kindergarten children, and to examine its association with obesity indices, physical activity levels and dietary habits.Entities:
Mesh:
Substances:
Year: 2008 PMID: 18684334 PMCID: PMC2525654 DOI: 10.1186/1471-2458-8-279
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic characteristics of the study population
| 447 (52)1 | 409 (48) | |
| 1st class | 184 (52) | 171 (48) |
| 2nd class | 263 (52) | 238 (48) |
| 5.4 ± 0.6 (447)2 | 5.4 ± 0.6 (409) | |
| Urban | 179 (40) | 168 (41) |
| Sub-urban | 21 (5) | 33 (8) |
| Rural | 246 (55) | 208 (51) |
| 16.7 ± 2.2 (441)2 | 16.6 ± 2.9 (402) | |
| Overweight1 | 78 (17.6) | 82 (20.4) |
| Obese1 | 46 (10.4) | 45 (11.2) |
| 1828 ± 388 (447)2 | 1686 ± 377 (409) | |
| 184 ± 85 114 (25.5) | 177 ± 104 156 (38.1) | |
| 181 ± 1312 | 162 ± 136 | |
| Consumers | 260 (58.2)1 | 252 (61.6) |
1 Chi-square test (χ2) [Values are presented as N(%)].
2 Analysis of variance [Values are presented as Mean ± SD (N)].
3 p-value < 0.05
4 Moderate Vigorous Physical Activity
5 Children with zero minutes of activity (MVPA) and zero consumption of sugar-added beverages were not included.
Diet, body measurements and physical activity levels among non-, low- and high consumers of sugar-added beverages of kindergarten children of Crete.
| < 125 g/d | 125–250 g/d | > 250 g/d | |||||
| Mean ± Standard Error (N) | |||||||
| | 1682 ± 20 (339) | 1749 ± 24 (244) | 1850 ± 29 (164) | 1915 ± 38 (97) | |||
| 37.1 ± 0.3 (339) | 35.3 ± 0.4 (244) | 34.6 ± 0.4 (164) | 32.9 ± 0.6 (97) | ||||
| 107 ± 1 (339) | 111 ± 1 (244) | 115 ± 1 (164) | 122 ± 1 (97) | ||||
| 17.8 ± 0.2 (339) | 17.5 ± 0.2 (244) | 17.0 ± 0.2 (164) | 15.9 ± 0.3 (97) | ||||
| 19.5 ± 0.2 (339) | 18.7 ± 0.2 (244) | 18.6 ± 0.3 (164) | 17.7 ± 0.4 (97) | ||||
| 5.3 ± 0.1 (339) | 5.2 ± 0.1 (244) | 4.9 ± 0.1 (164) | 5.1 ± 0.2 (97) | 0.077 | 0.109 | ||
| 614 ± 9 (339) | 581 ± 11 (244) | 562 ± 13 (164) | 491 ± 17 (97) | ||||
| 400 ± 14 (339) | 413 ± 17 (244) | 349 ± 21 (164) | 338 ± 27 (97) | ||||
| 3.5 ± 0.1 (339) | 3.5 ± 0.1 (244) | 3.3 ± 0.1 (164) | 3.1 ± 0.1 (97) | 0.078 | |||
| 54.2 ± 1.7 (339) | 55.3 ± 2.0 (244) | 68.6 ± 2.4 (164) | 82.1 ± 3.2 (97) | ||||
| | 167 ± 5 (339) | 174 ± 6 (244) | 186 ± 7 (164) | 177 ± 9 (97) | 0.156 | 0.198 | |
| | 214 ± 7 (319) | 186 ± 8 (239) | 189 ± 10 (161) | 171 ± 13 (94) | |||
| | 336 ± 9 (336) | 339 ± 12 (242) | 327 ± 14 (162) | 297 ± 18 (96) | 0.238 | ||
| | 28 ± 1 (291) | 29 ± 1 (218) | 29 ± 1 (153) | 28 ± 1 (83) | 0.978 | 0.699 | |
| | 52 ± 2 (293) | 55 ± 3 (215) | 52 ± 3 (153) | 60 ± 4 (93) | 0.261 | 0.103 | |
| | 17 ± 1 (302) | 14 ± 1 (222) | 14 ± 1 (152) | 13 ± 1 (86) | 0.154 | ||
| | 22 ± 1 (248) | 23 ± 2 (208) | 26 ± 2 (129) | 27 ± 3 (77) | 0.066 | ||
| | 27 ± 2 (165) | 27 ± 2 (149) | 29 ± 3 (90) | 34 ± 3 (67) | 0.232 | ||
| | 22.4 ± 0.2 (308) | 22.1 ± 0.3 (228) | 22.7 ± 0.3 (156) | 23.2 ± 0.4 (91) | 0.258 | 0.057 | |
| | 16.6 ± 0.1(308) | 16.4 ± 0.2 (228) | 16.9 ± 0.2 (156) | 17.4 ± 0.3 (91) | |||
| | 55.7 ± 0.3(308) | 55.6 ± 0.4 (228) | 56.4 ± 0.5 (156) | 56.1 ± 0.6 (91) | 0.570 | 0.335 | |
| | 63 ± 6 (326) | 53 ± 6 (242) | 68 ± 8 (163) | 44 ± 10 (96) | 0.137 | 0.246 | |
Analysis of Covariance (Heterogeneity was tested by Levene's test). Gender, age and BMI were used as covariates in the analysis of nutrients and foods; gender, age, energy intake and birth weight were covariates in the analysis of body measurements; gender and age were covariates in the analysis of MVPA.
Figure 1Risk (odds ratio) for Body Mass Index of kindergarten children of Crete in relation to consumption of sugar-added beverages. Logistic regression analysis. Gender, age, energy intake and birth weight were used as covariates. BMI cut-offs for overweight and obesity were determined by International Obesity Task Force criteria.
Figure 2Risk (odds ratio) for Waist circumference of kindergarten children of Crete in relation to consumption of sugar-added beverages. Logistic regression analysis. Gender, age, energy intake and birth weight were used as covariates. The 90th percentiles of waist circumference were estimated by gender-age categories.