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Article

Impact of Obesogenic Environments on Sugar-Sweetened Beverage Consumption among Preschoolers: Findings from a Cross-Sectional Survey in Beijing

by
Ruijie Yan
1,
Enying Gong
1,
Xinxuan Li
2,
Lutong Zheng
2,
Wei Liao
3,
Kaiyuan Min
3,
Fenghua Su
4,
Lianjun Wang
4,
Jing Wang
4,
Denghui Hu
1,5,
Yuxiang Tang
1 and
Juan Zhang
1,*
1
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
2
School of Health Humanities, Peking University, Beijing 100191, China
3
Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
4
Dongcheng Center for Disease Control and Prevention, Beijing 100013, China
5
Center of Social Medicine, National Research Institute for Family Planning, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(14), 2860; https://doi.org/10.3390/nu14142860
Submission received: 7 June 2022 / Revised: 8 July 2022 / Accepted: 11 July 2022 / Published: 12 July 2022
(This article belongs to the Section Carbohydrates)
Browse Figure
Versions Notes

Abstract

:
The excessive consumption of sugar-sweetened beverages (SSBs) has been proven to be critical for obesity among preschoolers. This study aimed to describe the SSB consumption rates among preschoolers in the Dongcheng District of Beijing, China, and to explore the association between obesogenic environmental determinants and consumption. We applied a stratified cluster sampling method and recruited 3057 primary caregivers of preschoolers in June 2019 to participate in the survey. The caregivers reported their children’s consumption rates of six categories of SSBs and their exposure rates to SSB-related obesogenic environments. The associations between them were tested using multivariate logistic regression models. The mean (SD) age of the children was 5.6 (0.6) years and nearly half (48.3%) were girls. About 84.5% of the children had consumed SSBs over the past three months, and sugar-sweetened milk beverages had the highest consumption rate. Higher exposure to advertisements for the corresponding SSB categories in children, higher frequency rates of consuming SSBs and of taking children to fast-food restaurants in caregivers, and lower frequency rates of reading the Nutrition Facts Panels by caregivers were associated with higher SSB consumption rates among children (p < 0.05 in all of the SSB categories investigated, except for the Nutrition Facts Panel reading behaviors for the sports and energy beverages). SSB consumption among preschoolers is of concern, and comprehensive policy actions and education are urgently needed.

1. Introduction

Childhood obesity is a growing global public health challenge [1], which can deteriorate into obesity when these children grow up and which places them at increased risk along the life continuum [2,3], i.e., for poor self-esteem, depression, discrimination, type 2 diabetes, hypertension, hyperlipidemia, and various cardiovascular diseases. In China, the prevalence of overweight and obesity in children under six years old in 2015–2017 was 10.4% (approximately 10 million) [4,5].
The root cause of overweight and obesity is an imbalance between the energy input and the energy output. Foods that are high in calories and low in nutritional value are the main sources of excessive energy, among which sugar-sweetened beverages (SSBs) have emerged as the primary contributors of added sugar intake among Chinese children [6]. Prospective cohort studies and clinical trials have provided strong evidence of the relationship between SSBs and weight gain and the risk of related chronic diseases [7]. Numerous evidence-based recommendations have been proposed to limit SSB consumption internationally [8,9], and the Chinese Dietary Guidelines (2022) from the Chinese Nutrition Society also advises preschoolers in China to drink more water and avoid SSBs [10]. However, a previous study revealed a rising trend in the SSB sales volume per capita in China from 2000 to 2014 [11], with 75% of children aged 4–9 years consuming  ≥  1 serving of SSBs/week in 2016 [12]. In addition, based on the data collected in a previous study between 2013 and 2018, the beverages in China had the highest median total sugar content as compared with many other countries, such as Australia, Canada, Chile, the UK, and the USA [13]. The existing evidence suggests that the intake of SSBs in early childhood was significantly associated with higher SSB intake later in life [14]. Therefore, it is urgent to take effective measures to alter this situation.
Young children are often exposed to circumstances in which they may not voluntarily participate or have minimal control [15,16]. Their SSB consumption could be affected by their families, kindergartens, beverage manufacturers, and government-related determinants [17]. Parental lower socioeconomic status, lower age, SSB consumption, using food as rewards, living near a fast-food or convenience store, and school nutrition policies and staff skills were proven to be well-grounded determinants across other countries [17,18]. Meanwhile, the consistent evidence suggests further exploring the potentially modifiable obesogenic environmental determinants of SSB marketing, advertising across all channels, and nutritional labeling [19].
Given the extensive evidence of SSBs contributing to severe health consequences [20,21,22,23], few studies have investigated the correlates of SSB intake among children in China with different food environments. The limited current evidence in China is mainly focused on school-aged children and the factors at the individual level [24,25,26]. To fill in the gaps in the scarce evidence for preschoolers, this study investigated the SSB consumption among preschoolers in the Dongcheng District of Beijing, China, and explored multifaceted obesogenic environment determinants of children’s SSB consumption.

2. Materials and Methods

2.1. Study Population

This study used data collected in June 2019 from a repeated cross-sectional study [27] that aimed to assess obesity and related behaviors among preschoolers in local kindergartens in the Dongcheng District of Beijing. The study was approved by the Ethics Committee of the Dongcheng Center for Disease Control and Prevention (DCCDPCIRB20180416–1). All caregivers gave their written informed consent.
At the stage of recruitment in the initial survey in 2018, we applied a stratified proportionate cluster sampling for a representative sample in the Dongcheng District of Beijing. As many preschoolers could not read and write, one of their primary caregivers (hereafter referred to as “caregivers”) was eligible to participate in the survey on their behalf. We recruited caregivers with the help of teachers in charge of each kindergarten class. The inclusion criteria were caregivers of children in the first and second grades of the chosen fifteen kindergartens with written informed consent. A detailed description of the sampling procedures was published elsewhere [27].
In the present survey, one kindergarten refused to be involved, and all caregivers of the 3595 children in the second and third grades from the other fourteen kindergartens were eligible and invited to participate, accordingly. The participants in the present survey slightly differ from the initial survey in these fourteen kindergartens because some students transferred in and out during this period.

2.2. Measurements

To obtain SSB consumption frequencies and other essential variables, the teachers in charge of each class handed out questionnaires with unique ID numbers to caregivers. All teachers in this study received systematic training and provided necessary instructions to the caregivers. The caregivers then completed the online questionnaires anonymously.

2.2.1. Outcome: Children’s SSB Consumption

We adapted a validated food frequency questionnaire [28] to measure the children’s consumption in the past three months for six SSB categories most frequently consumed by Chinese children, with seven Likert levels ranging from “never” to “more than seven times per week”. We also annotated several contextual examples for SSB categories to improve the interpretability [29]: sugar-sweetened milk beverages that were not milk or yogurt (hereafter referred to as “milk beverages”, e.g., lactobacillus beverages, Nutri-Express, AD Calcium Milk), vegetable- or fruit-flavored beverages that were not 100% fruit or vegetable juice (hereafter referred to as “fruit/vegetable beverages”, e.g., Orange Multi), vegetable protein beverages that were not soya-bean milk (e.g., soya-bean milk drink, walnut drink, syrup of almond), carbonated beverages (e.g., cola, Sprite), tea beverages (e.g., iced tea, jasmine tea), and sports and energy beverages (referred to as sports/energy beverages, e.g., Vitamin Water, Red Bull, Mizone) [20,30]. We categorized each beverage based on its nutrient content and China’s General Standard for Beverages (GB/T 10789-2015) [31]. The test–retest reliability of the food frequency questionnaire was good in the pilot study among a convenience sample of 175 caregivers, and the results are available in the previous paper [27]. The SSBs were deemed to be “consumed” when the consumption frequency for any category of SSBs mentioned above was other than “never”.

2.2.2. Other Measures

For the children’s exposure to SSB-related obesogenic environments, we included the caregivers’ frequencies of SSB consumption, reading behaviors for the Nutrition Facts Panel (NFP), and frequencies of taking children to fast-food restaurants, as well as children’s exposures to SSB advertisements.
Children’s exposure frequencies to advertisements for the above six SSB categories were assessed with the question, “Usually in a week, how often was your child exposed (see or hear) to the advertisement for the following SSBs in the past three months? (including on the roadside, in kindergartens, in the community, on TV and the Internet, etc.)”, with the five Likert levels ranging from “never” to “more than once per day” and “not clear”. The responses were categorized into four levels (never, less than once per week, once to six times per week, or at least once per day). “Not clear” was considered as a missing value.
We measured the caregivers’ frequencies of SSB consumption using a seven-category scale with the question, “How often did you (caregivers) drink SSBs (such as carbonated beverages, sports beverages, but excluding freshly squeezed juices) in the past three months?” The response options were categorized into two levels (less than once per week or at least once per week) using dichotomy cutoffs.
The caregivers’ frequencies of NFP reading were assessed with the question, “How often did you (caregivers) read the Nutrition Facts Panel before buying food in the past three months?” The response options to these questions were “never”, “rarely”, “sometimes”, “most of the time”, and “always”. The variable was dichotomized into infrequently (never, rarely, or sometimes) or frequently (most of the time or always).
We assessed the caregivers’ frequencies of taking children to fast-food restaurants with the question, “Did you (caregivers) often take your child to fast-food restaurants (McDonald’s, KFC, Pizza Hut, Burger King, etc.) in the past three months?” We used a five-category scale ranging from “never or less than once per week” to “everyday”, and the response options were categorized into two levels (less than once per week or at least once per week) using dichotomy cutoffs.
For covariates, trained school nurses measured each child’s weight and height, their body mass index was calculated, and their weight status was defined using criteria developed by the World Health Organization to ensure the authenticity and comparability of the data [32,33,34]. Data on the child’s birth date, gender, family income, and whether the child was the only child in the family were also collected using questionaries. Family income based on the “annual household income per capita” item of this study and ranging from “50 thousand RMB/year or below” to “more than 150 thousand RMB/year” was used as a proxy for socio-economic status [17,22,24].

2.3. Statistical Analysis

Statistical analyses were completed using IBM SPSS Statistics for Windows (Version 25.0. Armonk, NY, USA: IBM Corp). Children’s characteristics were analyzed using descriptive statistics. Normally distributed variables were expressed as means ± standard deviations. Categorical variables were presented as frequency values and percentages, and the chi-square test was used for comparison between groups. The associations between the exposure to obesogenic environments and the consumption of SSBs were tested using binary logistic regression models, adjusting for the preschooler’s gender, age, whether the child was the only child in the family, and annual household income per capita. Statistical significance was considered as p ≤ 0.05 (two-sided).

3. Results

3.1. Characteristics of Participants

A total of 3057 caregivers participated in the survey, with a responding rate of 85.0% (3057/3595), and all of their data were available and included in the analysis. The caregiver was the study child’s parent (97.8%), grandparent (1.6%), or significant other (0.6%). The characteristics of the children according to their SSB consumption are described in Table 1. Among the 3057 children, the mean age was 5.6 ± 0.6 years. Nearly half (48.3%) were girls, 68.9% were the only child in the family, 15.2% were either overweight (10.4%) or obese (4.8%), and more than half (52.9%) of came from families with an annual household income per capita of more than 150 thousand RMB ($23,265). About 84.5% of the children had consumed SSBs over the past three months; children who were non-consumers of SSBs were more likely to have an annual household income per capita of more than 150 thousand RMB, and were less likely to be overweight or obese than those in the SSB consumption categories (all p < 0.05).

3.2. SSB Consumption Frequency

Overall, over four-fifths (84.5%) of the preschoolers had consumed SSBs in the past three months. Milk beverages were the most-consumed SSB category (63.2%), followed by fruit/vegetable beverages (60.8%), vegetable protein beverages (50.0%), carbonated beverages (34.2%), tea beverages (24.2%), and sports/energy beverages (21.0%) (Figure 1).

3.3. Frequencies of Exposure to SSB-Related Obesogenic Environments

Children were exposed to milk beverage advertisements most frequently, with 17.0% being exposed more than once per day and 49.0% more than once per week, subsequently followed by carbonated beverages and fruit/vegetable beverages (Figure S1). In addition, about half of the caregivers consumed SSBs at least once per week (52.9%), more than one-third read NFPs frequently (37.7%), and about one-fifth took children to fast-food restaurants at least once per week (21.7%). The proportions of SSB consumption among preschoolers were significantly higher for children exposed to SSB advertisements and whose caregivers frequently consumed SSBs, took them to fast-food restaurants, and read NFPs infrequently (all p < 0.05) (Tables S1–S6).

3.4. Associations between Obesogenic Environments and SSB Consumption among Preschoolers

As shown in Table 2, higher exposure to advertisements of the corresponding SSB category by children, higher frequencies of consuming SSBs and taking children to fast-food restaurants by caregivers, and lower frequencies of reading the NFPs by caregivers were associated with higher consumption of SSBs among children. Similar trends of association were shown in all the SSB categories we investigated. Taking milk beverages as an example, after adjusting for potential confounders, children who were exposed to milk beverage advertisements “less than once per week” (OR: 2.123, 95% CI: 1.670–2.697), “1 to 6 times per week” (OR: 3.216, 95% CI: 2.503–4.134), or “at least once per day” (OR: 4.082, 95% CI: 3.038–5.485) were more likely to consume milk beverages compared with the “never” group. When caregivers consumed SSBs “at least once per week” (OR: 1.912, 95% CI: 1.623–2.251), their children were more likely to consume milk beverages. When taken to fast-food restaurants “at least once per week” (OR: 1.745, 95% CI: 1.411–2.157) by caregivers, the children were more likely to consume milk beverages compared with the “less than once per week” group. In contrast, the children whose caregivers frequently read the NFPs were less likely to consume milk beverages (OR: 0.579, 95% CI: 0.491–0.683) than the “infrequently” group.

4. Discussion

In this cross-sectional study among preschoolers in the Dongcheng District of Beijing, China, we discovered that more than four-fifths of preschoolers consumed SSBs over the past three months, which was associated with a higher risk of overweight and obesity. Children with more exposure to SSB advertisements consumed more SSBs. Additionally, parental behaviors including consuming SSBs, lack of NFP reading, and taking children to fast-food restaurants were associated with a higher likelihood of children’s SSB consumption. Overall, our findings suggest that decreasing child-targeted SSB advertising exposure, increasing parental nutritional labeling reading, and reducing parental SSB consumption and fast-food restaurant visits could be potential strategies to reduce children’s SSB consumption.
The present estimates of children’s SSB consumption seem to be in line with those in previous studies in China. For example, a study found that 79.5% of children aged three to seven years consumed SSBs during the preceding half-year in seven large cities in 2012, while they investigated only carbonated beverages, fruit/vegetable beverages, tea beverages, and sports/energy beverages [20]. The substantial evidence demonstrates that preschool is a crucial period for developing obesity and consequently metabolic risk [2,35]. The high prevalence rates of SSB consumption in this study and others support the need for urgent interventions focusing on SSB marketing and parental behaviors in obesogenic environments to promote healthy beverage consumption among preschoolers. In addition, our results indicated that the most frequently consumed SSBs were milk beverages, followed by fruit/vegetable beverages and vegetable protein beverages, broadly consistent with the existing evidence among urban preschoolers reported in previous studies [36]. In particular, the high consumption of milk beverages may be explained by confusion about milk and milk beverages in parental perceptions because of the lack of clear and truthful labeling of milk beverages to enable caregivers to make well-informed decisions [37,38,39]. Different studies reported that carbonated beverages were also preferred in Western countries instead of vegetable protein beverages [6]. Our findings suggest that for interventions an emphasis should probably be placed on milk beverages, fruit/vegetable beverages, and vegetable protein beverages in urban China.
The present study showed that caregivers’ rates of SSB consumption [24,40] and taking children to fast-food restaurants [41,42,43] frequently were positively associated with SSB consumption among their children, consistent with previous studies at home and abroad. Our study also identified that as low as one-third of caregivers read the NFPs frequently, which was negatively associated with SSB consumption among their children. The above behaviors of caregivers may be explained by their health literacy, which was associated with SSB consumption in both parents and children [44], as parents are the purchasing decision-makers for themselves and their children in obesogenic environments. In obesogenic environments, fast-food restaurants are important sources of SSBs and SSB marketing, with various SSB options, as well as a large volume of price promotion advertisements and child-directed advertisements with cartoon, TV, or movie characters [45]. In addition, previous studies have suggested that a lack of nutritional information restricted the efficacy of parents in making healthier SSB choices for their children at fast-food restaurants [46,47]. Additionally, the behavior of NFP reading might reflect caregivers’ self-efficacy in avoiding unhealthy foods and drinks in general. So far, few SSB products high in sugar have provided sugar content information on the NFP in China [48]. Nutritional labeling is a vital tool to promote healthier choices, while the previous evidence has suggested that compulsorily added new nutritional information (e.g., added sugars and percent daily values for added sugars) alone would not be sufficient to affect choices of beverages [49,50], and consumers might be required to improve their perceptions on healthy choices and their capability to interpret the information in nutritional labeling via health education and promotion, so as to use it frequently [51]. To reduce the SSB consumption rates among preschoolers, the use of evidence-based measures aiming to improve parental awareness of the health effects of SSBs and to improve their self-efficacy to choose healthier drinks [52,53,54,55] may be an indispensable strategy.
We observed positive associations between SSB advertisement exposure and consumption among preschoolers, consistent with the results of previous studies in other countries showing that SSB advertising strongly influences the long-term beverage preferences and consumption [44,56]. The elements of advertisements that influence their effectiveness include the extent of exposure to the message and the persuasive power of the communications related to the message design and content [57]. Our study showed that preschoolers were exposed to SSB advertisements frequently. The frequent occurrence of these marketing messages might influence social norms and promote the perception that calorie-dense, nutrient-poor beverages are normal [58,59,60]. In addition, the substantial evidence indicated that a significant portion of SSB advertising is typically aimed directly at children and parents [61,62,63]. The consumption demands of children and parents were promoted by the persuasive marketing techniques, including the following aspects: (i) promotional characters (e.g., cartoon figures and celebrities); (ii) themes of taste; (iii) the emotional appeal of fun; (iv) brand benefit claims; (v) brand health claims [64]. As a result, advertising misleads children and parents who lack media literacy [65]. Hence, legislation relating to mandatory regulations for SSB advertising to children across all kinds of media and marketing techniques is needed in China [66,67].
The findings of this study provide a timely update on the current evidence of SSB consumption and potential modifiable obesogenic environment determinants at the micro- and macro-levels among preschoolers, who are in a critical period in the life course and have been rarely studied in China. Meanwhile, the following limitations should be considered when interpreting this study. First, data obtained from self-reported questionnaires may be subject to recall bias and reporting bias, which may lead to underestimating the frequencies of SSB consumption and the exposure to obesogenic environments. We reduced the bias via unified training for the investigators, the use of an institution-based survey, and the use of anonymous questionnaires to establish close cooperation with the participants. Second, there are some other approaches for children to be exposed to obesogenic environments, such as children’s exposure to SSBs in kindergartens, which has been an important channel over a long period [68]. However, the Chinese government has released the 2021 Guide for the Construction of Nutrition and Health Schools, which requires food shops, supermarkets, and others not to be set up in kindergartens. Thus, these settings are not major settings for preschool students to access SSBs. Third, the Dongcheng district is in downtown Beijing, representing an advanced socioeconomic environment, which may restrict the generalization of the findings to broad contexts. Nevertheless, the current findings could provide vital references for other areas. Fourth, a cross-sectional study failed to infer causality for potential confounders. As the present analysis was exploratory and not intended to be a predictive model, we adjusted for key demographic characteristics; additional studies are required to confirm the results.

5. Conclusions

Exposures to SSB-related obesogenic environments, such as caregivers’ SSB consumption and taking children to fast-food restaurants, as well as children’s exposure to SSB advertisements, were associated with a higher likelihood of children’s SSB consumption. In contrast, caregivers’ NFP reading behaviors when buying foods and drinks were negatively associated with SSB consumption. As preschool age is a critical period for developing obesity and consequently metabolic risk that can possibly last a lifetime, targeting of SSB advertising as a part of efforts to reduce children’s SSB consumption is needed. Parents are the purchasing decision-makers for themselves and their children, and our results support the need for future health education and the promotion of parental self-efficacy and behavior to avoid SSBs in obesogenic environments.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nu14142860/s1. Figure S1: Frequencies of exposure to SSB advertisements among preschoolers (%). Table S1: Associations between milk beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%). Table S2: Associations between fruit/vegetable beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%). Table S3: Associations between vegetable protein beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%). Table S4: Associations between carbonated beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%). Table S5: Associations between tea beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%). Table S6: Associations between sports/energy beverage consumption and exposure to obesogenic environments among preschoolers: univariate analysis: n (%).

Author Contributions

Conceptualization, R.Y. and J.Z.; methodology, R.Y.; software, R.Y.; formal analysis, R.Y.; investigation, W.L., K.M., F.S., J.W. and J.Z.; resources, F.S. and J.W.; data curation, K.M. and R.Y.; writing—original draft preparation, R.Y.; writing—review and editing, R.Y., E.G., J.Z., X.L., L.Z., D.H. and Y.T.; supervision, J.Z.; project administration, L.W. and J.Z.; funding acquisition, J.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Fundamental Research Funds for the Central Universities (3332019010), and the Dongcheng Health and Family Planning Commission Research Project ([2018]-22). J.Z. was supported by a Disciplines Construction Project: Population Medicine (WH10022021145), and the China Medical Board (20-379).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the Dongcheng Center for Disease Control and Prevention (DCCDPCIRB20180416-1).

Informed Consent Statement

Written informed consent was obtained from all subjects involved in the study.

Data Availability Statement

According to private and confidential clauses stated in the informed consent, the raw data supporting the conclusions of this article are ethically restricted and not publicly available. They would be available from Prof. Juan ZHANG (E-mail: [email protected]) on reasonable request.

Acknowledgments

We would like to acknowledge the support of all participants and staff members of the participating kindergartens and the Dongcheng Center for Disease Control and Prevention.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Abbreviations

SSBs: sugar-sweetened beverages; NFP: Nutrition Facts Panel.

References

  1. Di Cesare, M.; Sorić, M.; Bovet, P.; Miranda, J.J.; Bhutta, Z.; Stevens, G.A.; Laxmaiah, A.; Kengne, A.P.; Bentham, J. The epidemiological burden of obesity in childhood: A worldwide epidemic requiring urgent action. BMC Med. 2019, 17, 212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Simmonds, M.; Llewellyn, A.; Owen, C.G.; Woolacott, N. Predicting adult obesity from childhood obesity: A systematic review and meta-analysis. Obes. Rev. 2016, 17, 95–107. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Lanigan, J. Prevention of overweight and obesity in early life. Proc. Nutr. Soc. 2018, 77, 247–256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. World Health Organization. Obesity and Overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 23 January 2022).
  5. The State Council Information Office of the People’s Republic of China. Report on Chinese Residents’ Chronic Diseases and Nutrition. Available online: http://www.scio.gov.cn/xwfbh/xwbfbh/wqfbh/42311/44583/wz44585/Document/1695276/1695276.htm (accessed on 23 January 2022).
  6. Afeiche, M.C.; Koyratty, B.N.S.; Wang, D.; Jacquier, E.F.; Lê, K.A. Intakes and sources of total and added sugars among 4 to 13-year-old children in China, Mexico and the United States. Pediatr. Obes. 2018, 13, 204–212. [Google Scholar] [CrossRef] [Green Version]
  7. Malik, V.S.; Hu, F.B. The role of sugar-sweetened beverages in the global epidemics of obesity and chronic diseases. Nat. Rev. Endocrinol. 2022, 18, 205–218. [Google Scholar] [CrossRef]
  8. Dereń, K.; Weghuber, D.; Caroli, M.; Koletzko, B.; Thivel, D.; Frelut, M.L.; Socha, P.; Grossman, Z.; Hadjipanayis, A.; Wyszyńska, J.; et al. Consumption of Sugar-Sweetened Beverages in Paediatric Age: A Position Paper of the European Academy of Paediatrics and the European Childhood Obesity Group. Ann. Nutr. Metab. 2019, 74, 296–302. [Google Scholar] [CrossRef]
  9. Harvard, T.H.; Chan School of Public Health. Kid’s Healthy Eating Plate. Available online: https://www.hsph.harvard.edu/nutritionsource/kids-healthy-eating-plate/ (accessed on 23 January 2022).
  10. The Chinese Nutrition Society. The Chinese Dietary Guidelines. 2022. Available online: http://dg.cnsoc.org/article/04/J4-AsD_DR3OLQMnHG0-jZA.html (accessed on 4 May 2022).
  11. Popkin, B.M.; Hawkes, C. Sweetening of the global diet, particularly beverages: Patterns, trends, and policy responses. Lancet Diabetes Endocrinol. 2016, 4, 174–186. [Google Scholar] [CrossRef] [Green Version]
  12. Zhang, N.; Morin, C.; Guelinckx, I.; Moreno, L.A.; Kavouras, S.A.; Gandy, J.; Martinez, H.; Salas-Salvadó, J.; Ma, G. Fluid intake in urban China: Results of the 2016 Liq.In7national cross-sectional surveys. Eur. J. Nutr. 2018, 57, 77–88. [Google Scholar] [CrossRef] [Green Version]
  13. Dunford, E.K.; Ni Mhurchu, C.; Huang, L.; Vandevijvere, S.; Swinburn, B.; Pravst, I.; Tolentino-Mayo, L.; Reyes, M.; L’Abbé, M.; Neal, B.C. A comparison of the healthiness of packaged foods and beverages from 12 countries using the Health Star Rating nutrient profiling system, 2013–2018. Obes. Rev. 2019, 20 (Suppl. S2), 107–115. [Google Scholar] [CrossRef] [Green Version]
  14. Ziesmann, A.; Kiflen, R.; De Rubeis, V.; Smith, B.T.; Maguire, J.L.; Birken, C.S.; Anderson, L.N. The Association between Early Childhood and Later Childhood Sugar-Containing Beverage Intake: A Prospective Cohort Study. Nutrients 2019, 11, 2338. [Google Scholar] [CrossRef] [Green Version]
  15. Gauthier, K.I.; Krajicek, M.J. Obesogenic environment: A concept analysis and pediatric perspective. J. Spec. Pediatr. Nurs. 2013, 18, 202–210. [Google Scholar] [CrossRef]
  16. Bekelman, T.A.; Bellows, L.L.; Johnson, S.L. Are family routines modifiable determinants of preschool children’s eating, dietary intake, and growth? A review of intervention studies. Curr. Nutr. Rep. 2017, 6, 171–189. [Google Scholar] [CrossRef]
  17. Mazarello Paes, V.; Hesketh, K.; O’Malley, C.; Moore, H.; Summerbell, C.; Griffin, S.; van Sluijs, E.M.; Ong, K.K.; Lakshman, R. Determinants of sugar-sweetened beverage consumption in young children: A systematic review. Obes. Rev. 2015, 16, 903–913. [Google Scholar] [CrossRef] [Green Version]
  18. Mantziki, K.; Renders, C.M.; Seidell, J.C. Water Consumption in European Children: Associations with Intake of Fruit Juices, Soft Drinks and Related Parenting Practices. Int. J. Environ. Res. Public Health 2017, 14, 583. [Google Scholar] [CrossRef] [Green Version]
  19. Backholer, K.; Gupta, A.; Zorbas, C.; Bennett, R.; Huse, O.; Chung, A.; Isaacs, A.; Golds, G.; Kelly, B.; Peeters, A. Differential exposure to, and potential impact of, unhealthy advertising to children by socio-economic and ethnic groups: A systematic review of the evidence. Obes. Rev. 2021, 22, e13144. [Google Scholar] [CrossRef]
  20. Yu, P.; Chen, Y.; Zhao, A.; Bai, Y.; Zheng, Y.; Zhao, W.; Zhang, Y. Consumption of sugar-sweetened beverages and its association with overweight among young children from China. Public Health Nutr. 2016, 19, 2336–2346. [Google Scholar] [CrossRef] [Green Version]
  21. Geng, M.; Jiang, L.; Wu, X.; Ding, P.; Liu, W.; Liu, M.; Tao, F. Sugar-sweetened beverages consumption are associated with behavioral problems among preschoolers: A population based cross-sectional study in China. J. Affect. Disord. 2020, 265, 519–525. [Google Scholar] [CrossRef]
  22. Gui, Z.; Zhu, Y.; Cai, L.; Sun, F.; Ma, Y.; Jing, J.; Chen, Y. Sugar-Sweetened Beverage Consumption and Risks of Obesity and Hypertension in Chinese Children and Adolescents: A National Cross-Sectional Analysis. Nutrients 2017, 9, 1302. [Google Scholar] [CrossRef] [Green Version]
  23. Gan, Q.; Xu, P.; Yang, T.; Cao, W.; Xu, J.; Li, L.; Pan, H.; Zhao, W.; Zhang, Q. Sugar-Sweetened Beverage Consumption Status and Its Association with Childhood Obesity among Chinese Children Aged 6–17 Years. Nutrients 2021, 13, 2211. [Google Scholar] [CrossRef]
  24. Guo, H.; Phung, D.; Chu, C. Sociodemographic, lifestyle, behavioral, and parental factors associated with sugar-sweetened beverage consumption in children in China. PLoS ONE 2021, 16, e0261199. [Google Scholar] [CrossRef]
  25. Liu, Z.; Si, W.; Zhao, Q.; Tao, C. Does Subjective Dietary Knowledge Affect Sugar-Sweetened Carbonated Beverages Consumption and Child Obesity? Empirical Evidence from the Inner Mongolia Autonomous Region in China. Int. J. Environ. Res. Public Health 2021, 18, 3713. [Google Scholar] [CrossRef] [PubMed]
  26. Zhuang, X.; Liu, Y.; Gittelsohn, J.; Lewis, E.; Song, S.; Ma, Y.; Wen, D. Sugar-Sweetened Beverages Consumption and Associated Factors among Northeastern Chinese Children. Nutrients 2021, 13, 2233. [Google Scholar] [CrossRef]
  27. Min, K.; Wang, J.; Liao, W.; Astell-Burt, T.; Feng, X.; Cai, S.; Liu, Y.; Zhang, P.; Su, F.; Yang, K.; et al. Dietary patterns and their associations with overweight/obesity among preschool children in Dongcheng District of Beijing: A cross-sectional study. BMC Public Health 2021, 21, 223. [Google Scholar] [CrossRef] [PubMed]
  28. Saloheimo, T.; González, S.A.; Erkkola, M.; Milauskas, D.M.; Meisel, J.D.; Champagne, C.M.; Tudor-Locke, C.; Sarmiento, O.; Katzmarzyk, P.T.; Fogelholm, M. The reliability and validity of a short food frequency questionnaire among 9–11-year olds: A multinational study on three middle-income and high-income countries. Int. J. Obes. Suppl. 2015, 5, S22–S28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Kumar, G.; Onufrak, S.; Zytnick, D.; Kingsley, B.; Park, S. Self-reported advertising exposure to sugar-sweetened beverages among US youth. Public Health Nutr. 2015, 18, 1173–1179. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. van de Gaar, V.M.; van Grieken, A.; Jansen, W.; Raat, H. Children’s sugar-sweetened beverages consumption: Associations with family and home-related factors, differences within ethnic groups explored. BMC Public Health 2017, 17, 195. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. General Standard for Beverage (GB/T 10789-2015). Available online: http://www.gb688.cn/bzgk/gb/newGbInfo?hcno=74CA249115E304FB0AF2CAFC7AC60AD7 (accessed on 4 May 2022).
  32. World Health Organization. Child Growth Standards. Available online: https://www.who.int/toolkits/child-growth-standards/standards/body-mass-index-for-age-bmi-for-age (accessed on 23 January 2022).
  33. de Onis, M.; Lobstein, T. Defining obesity risk status in the general childhood population: Which cut-offs should we use? Int. J. Pediatr. Obes. 2010, 5, 458–460. [Google Scholar] [CrossRef]
  34. World Health Organization. Growth Reference 5–19 Years. Available online: https://www.who.int/toolkits/growth-reference-data-for-5to19-years/indicators/bmi-for-age (accessed on 23 January 2022).
  35. Gardner, D.S.; Hosking, J.; Metcalf, B.S.; Jeffery, A.N.; Voss, L.D.; Wilkin, T.J. Contribution of early weight gain to childhood overweight and metabolic health: A longitudinal study (EarlyBird 36). Pediatrics 2009, 123, e67–e73. [Google Scholar] [CrossRef]
  36. You, L.; Yang, T.; Li, Z.; Xue, Y.; Shao, X.; Wang, P.; Zhang, Y.; Bai, Y. Consumption pattern of liquid dairy products and soft beverages among preschool children in nine areas of China. Chin. J. Public Health 2016, 32, 420–424. [Google Scholar]
  37. Duffy, E.W.; Taillie, L.S.; Richter, A.P.C.; Higgins, I.C.A.; Harris, J.L.; Hall, M.G. Toddler milk perceptions and purchases: The role of Latino ethnicity. Public Health Nutr. 2021, 24, 2911–2919. [Google Scholar] [CrossRef]
  38. Pomeranz, J.L.; Romo Palafox, M.J.; Harris, J.L. Toddler drinks, formulas, and milks: Labeling practices and policy implications. Prev. Med. 2018, 109, 11–16. [Google Scholar] [CrossRef]
  39. Préjet, J. Comparing Consumer Perceptions of the Health Value of Dairy Milk and Plant-Based Dairy Milk Alternatives; University of Manitoba: Winnipeg, MB, Canada, 2018; Available online: https://mspace.lib.umanitoba.ca/handle/1993/32978?show=full (accessed on 23 January 2022).
  40. Lundeen, E.A.; Park, S.; Onufrak, S.; Cunningham, S.; Blanck, H.M. Adolescent Sugar-Sweetened Beverage Intake is Associated With Parent Intake, Not Knowledge of Health Risks. Am. J. Health Promot. 2018, 32, 1661–1670. [Google Scholar] [CrossRef]
  41. Lopez, N.V.; Ayala, G.X.; Corder, K.; Eisenberg, C.M.; Zive, M.M.; Wood, C.; Elder, J.P. Parent support and parent-mediated behaviors are associated with children’s sugary beverage consumption. J. Acad. Nutr. Diet. 2012, 112, 541–547. [Google Scholar] [CrossRef] [Green Version]
  42. Foo, L.H.; Lee, Y.H.; Suhaida, C.Y.; Hills, A.P. Correlates of sugar-sweetened beverage consumption of Malaysian preschoolers aged 3 to 6 years. BMC Public Health 2020, 20, 552. [Google Scholar] [CrossRef]
  43. Lee, Y.H.; Chiang, T.C.; Liu, C.T.; Chang, Y.C. Investigating adolescents’ sweetened beverage consumption and Western fast food restaurant visits in China, 2006–2011. Int. J. Adolesc. Med. Health 2020, 32, 20170209. [Google Scholar] [CrossRef]
  44. Hennessy, M.; Bleakley, A.; Piotrowski, J.T.; Mallya, G.; Jordan, A. Sugar-Sweetened Beverage Consumption by Adult Caregivers and Their Children: The Role of Drink Features and Advertising Exposure. Health Educ. Behav. 2015, 42, 677–686. [Google Scholar] [CrossRef]
  45. Cohen, J.F.W.; Cooksey Stowers, K.; Rohmann, M.; Lapierre, N.; Rimm, E.B.; Cash, S.B.; Davison, K.K.; McInnis, K.; Economos, C.D. Marketing to Children Inside Quick Service Restaurants: Differences by Community Demographics. Am. J. Prev. Med. 2021, 61, 96–104. [Google Scholar] [CrossRef]
  46. Ahn, J.-Y.; Park, H.-R.; Lee, K.; Kwon, S.; Kim, S.; Yang, J.; Song, K.-H.; Lee, Y. The effect of providing nutritional information about fast-food restaurant menus on parents’ meal choices for their children. Nutr. Res. Pract. 2015, 9, 667–672. [Google Scholar] [CrossRef] [Green Version]
  47. Gruner, J.; Ohri-Vachaspati, P. Food and Beverage Selection Patterns among Menu Label Users and Nonusers: Results from a Cross-Sectional Study. J. Acad. Nutr. Diet. 2017, 117, 929–936. [Google Scholar] [CrossRef]
  48. Jin, C.; Lin, L.; Li, C.; Peng, Y.; MacGregor, G.A.; He, F.; Wang, H. The sugar and energy in non-carbonated sugar-sweetened beverages: A cross-sectional study. BMC Public Health 2019, 19, 1141. [Google Scholar] [CrossRef] [Green Version]
  49. Hoenink, J.C.; Stuber, J.M.; Lakerveld, J.; Waterlander, W.; Beulens, J.W.J.; Mackenbach, J.D. The effect of on-shelf sugar labeling on beverage sales in the supermarket: A comparative interrupted time series analysis of a natural experiment. Int. J. Behav. Nutr. Phys. Act. 2021, 18, 49. [Google Scholar] [CrossRef]
  50. Neuhofer, Z.; McFadden, B.R.; Rihn, A.; Wei, X.; Khachatryan, H.; House, L. Can the updated nutrition facts label decrease sugar-sweetened beverage consumption? Econ. Hum. Biol. 2020, 37, 100867. [Google Scholar] [CrossRef]
  51. Ni Mhurchu, C.; Volkova, E.; Jiang, Y.; Eyles, H.; Michie, J.; Neal, B.; Blakely, T.; Swinburn, B.; Rayner, M. Effects of interpretive nutrition labels on consumer food purchases: The Starlight randomized controlled trial. Am. J. Clin. Nutr. 2017, 105, 695–704. [Google Scholar] [CrossRef] [Green Version]
  52. Boles, R.E.; Johnson, S.L.; Burdell, A.; Davies, P.L.; Gavin, W.J.; Bellows, L.L. Home food availability and child intake among rural families identified to be at-risk for health disparities. Appetite 2019, 134, 135–141. [Google Scholar] [CrossRef]
  53. Davison, K.K.; Jurkowski, J.M.; Li, K.; Kranz, S.; Lawson, H.A. A childhood obesity intervention developed by families for families: Results from a pilot study. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 3. [Google Scholar] [CrossRef] [Green Version]
  54. West, F.; Morawska, A.; Joughin, K. The Lifestyle Behaviour Checklist: Evaluation of the factor structure. Child Care Health Dev. 2010, 36, 508–515. [Google Scholar] [CrossRef]
  55. Birch, L.L.; Fisher, J.O.; Davison, K.K. Learning to overeat: Maternal use of restrictive feeding practices promotes girls’ eating in the absence of hunger. Am. J. Clin. Nutr. 2003, 78, 215–220. [Google Scholar] [CrossRef]
  56. Powell, L.M.; Wada, R.; Khan, T.; Emery, S.L. Food and beverage television advertising exposure and youth consumption, body mass index and adiposity outcomes. Can. J. Econ. 2017, 50, 345–364. [Google Scholar] [CrossRef] [Green Version]
  57. World Health Organization. A Framework for Implementing the Set of Recommendations on the Marketing of Foods and Non-alcoholic Beverages to Children. Available online: https://apps.who.int/iris/bitstream/handle/10665/80148/9789241503242_eng.pdf?sequence=1 (accessed on 23 January 2022).
  58. Hoek, J. Marketing communications and obesity: A view from the dark side. N. Z. Med. J. 2005, 118, U1608. [Google Scholar]
  59. Quigley, R.; Watts, C. Challenging beliefs about the marketing of food. N. Z. Med. J. 2005, 118, U1554. [Google Scholar] [PubMed]
  60. Temple, N.J.; Steyn, N.P.; Myburgh, N.G.; Nel, J.H. Food items consumed by students attending schools in different socioeconomic areas in Cape Town, South Africa. Nutrition 2006, 22, 252–258. [Google Scholar] [CrossRef] [PubMed]
  61. Harris, J.; Romo-Palafox, M.; Choi, Y.; Kibwana, A. Children’s Drink FACTS 2019: Sales, Nutrition, and Marketing of Children’s Drinks; UConn Rudd Center for Food Policy & Obesity: Hartford, CT, USA, 2019. [Google Scholar]
  62. Kelly, B.; Vandevijvere, S.; Ng, S.; Adams, J.; Allemandi, L.; Bahena-Espina, L.; Barquera, S.; Boyland, E.; Calleja, P.; Carmona-Garcés, I.C.; et al. Global benchmarking of children’s exposure to television advertising of unhealthy foods and beverages across 22 countries. Obes. Rev. 2019, 20 (Suppl. S2), 116–128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Cruz-Casarrubias, C.; Tolentino-Mayo, L.; Nieto, C.; Théodore, F.L.; Monterrubio-Flores, E. Use of advertising strategies to target children in sugar-sweetened beverages packaging in Mexico and the nutritional quality of those beverages. Pediatr. Obes. 2021, 16, e12710. [Google Scholar] [CrossRef] [PubMed]
  64. Jenkin, G.; Madhvani, N.; Signal, L.; Bowers, S. A systematic review of persuasive marketing techniques to promote food to children on television. Obes. Rev. 2014, 15, 281–293. [Google Scholar] [CrossRef]
  65. Chan, J.X.Y.; Wong, M.L.; Gao, X.; Chia, K.S.; Hong, C.H.L.; Hu, S. Parental perspectives towards sugar-sweetened beverages and polices: A qualitative study. Eur. Arch. Paediatr. Dent. 2021, 22, 1033–1040. [Google Scholar] [CrossRef]
  66. Kelly, B.; King, L.; Baur, L.; Rayner, M.; Lobstein, T.; Monteiro, C.; Macmullan, J.; Mohan, S.; Barquera, S.; Friel, S.; et al. Monitoring food and non-alcoholic beverage promotions to children. Obes. Rev. 2013, 14 (Suppl. S1), 59–69. [Google Scholar] [CrossRef] [Green Version]
  67. Taillie, L.S.; Busey, E.; Stoltze, F.M.; Dillman Carpentier, F.R. Governmental policies to reduce unhealthy food marketing to children. Nutr. Rev. 2019, 77, 787–816. [Google Scholar] [CrossRef]
  68. Rocha, L.L.; Pessoa, M.C.; Gratão, L.H.A.; Carmo, A.S.d.; Cordeiro, N.G.; Cunha, C.d.F.; Oliveira, T.R.P.R.d.; Mendes, L.L. Characteristics of the School Food Environment Affect the Consumption of Sugar-Sweetened Beverages among Adolescents. Front. Nutr. 2021, 8, 742744. [Google Scholar] [CrossRef]
Nutrients 14 02860 g001 550
Figure 1. The proportions of sugar-sweetened beverage consumption over the past three months among preschoolers (%). Notes: Milk beverages (sugar-sweetened milk beverages that were not milk or yogurt, e.g., lactobacillus beverages, Nutri-Express, AD Calcium Milk); fruit/vegetable beverages (vegetable- or fruit-flavored beverages that were not 100 % fruit or vegetable juice, e.g., Orange Multi); vegetable protein beverages (e.g., soya-bean milk drink, walnut drink, syrup of almond); carbonated beverages (e.g., cola, Sprite); tea beverages (e.g., iced tea, jasmine tea); sports/energy beverages (e.g., Vitamin Water, Red Bull, Mizone).
Figure 1. The proportions of sugar-sweetened beverage consumption over the past three months among preschoolers (%). Notes: Milk beverages (sugar-sweetened milk beverages that were not milk or yogurt, e.g., lactobacillus beverages, Nutri-Express, AD Calcium Milk); fruit/vegetable beverages (vegetable- or fruit-flavored beverages that were not 100 % fruit or vegetable juice, e.g., Orange Multi); vegetable protein beverages (e.g., soya-bean milk drink, walnut drink, syrup of almond); carbonated beverages (e.g., cola, Sprite); tea beverages (e.g., iced tea, jasmine tea); sports/energy beverages (e.g., Vitamin Water, Red Bull, Mizone).
Nutrients 14 02860 g001
Table
Table 1. Basic characteristics of the surveyed preschoolers and their sugar-sweetened beverage (SSB) consumption over the past three months: n (%).
Table 1. Basic characteristics of the surveyed preschoolers and their sugar-sweetened beverage (SSB) consumption over the past three months: n (%).
CharacteristicsTotal
(n = 3057)		SSB Consumption among Preschoolers
Yes
(n = 2583)		No
(n = 474)		χ2/tp Value
Gender 0.1590.690
    Boys1580 (51.7)1339 (84.7)241 (15.3)
    Girls1477 (48.3)1244 (84.2)233 (15.8)
Age (years) groups 5.4250.066
    ≤5579 (18.9)472 (81.5)107 (18.5)
    >5 and ≤61664 (54.4)1411 (84.8)253 (15.2)
    >6814 (26.6)700 (86.0)114 (14.0)
Whether the only child in the family 1.7640.184
    No950 (31.1)815 (85.8)135 (14.2)
    Yes2107 (68.9)1768 (83.9)339 (16.1)
Annual household income per capita 13.811<0.001
    ≤150 thousand RMB
(23,265 dollars)		1439 (47.1)1253 (87.1)186 (12.9)
    >150 thousand RMB1618 (52.9)1330 (82.2)288 (17.8)
Weight status 12.3120.002
    Underweight or normal-weight2593 (84.8)2166 (83.5)427 (16.5)
    Overweight318 (10.4)284 (89.3)34 (10.7)
    Obese146 (4.8)133 (91.1)13 (8.9)
Table
Table 2. Associations between sugar-sweetened beverages (SSBs) consumption over the past three months and exposure to obesogenic environments among preschoolers: multivariate analysis.
Table 2. Associations between sugar-sweetened beverages (SSBs) consumption over the past three months and exposure to obesogenic environments among preschoolers: multivariate analysis.
VariableMilk Beverages *Fruit/VegetableBeverages *Vegetable Protein Beverages *
OR (95% CI)p ValueOR (95% CI)p ValueOR (95% CI)p Value
Girls (reference: boys)1.101 (0.937–1.294)0.2410.959 (0.818–1.125)0.6060.860 (0.738–1.002)0.053
Age group (years)
    >5 and ≤6 (reference: ≤5)0.891 (0.718–1.106)0.2961.028 (0.831–1.271)0.7991.002 (0.816–1.230)0.987
    >6 (reference: ≤5)0.920 (0.720–1.175)0.5021.078 (0.847–1.372)0.5411.306 (1.035–1.647)0.025
The only child in the family (reference: no)0.823 (0.690–0.981)0.0300.775 (0.651–0.922)0.0040.933 (0.791–1.100)0.409
Annual household income per capita >150 thousand RMB (23,265 dollars) (reference: ≤150 thousand RMB)0.852 (0.725–1.002)0.0530.753 (0.642–0.884)<0.0010.734 (0.630–0.856)<0.001
Exposure to advertisements of the corresponding SSB category (reference: never)
    Less than once per week2.123 (1.670–2.697)<0.0014.027 (3.194–5.077)<0.0012.876 (2.341–3.534)<0.001
    1 to 6 times per week3.216 (2.503–4.134)<0.0015.346 (4.163–6.866)<0.0014.498 (3.541–5.713)<0.001
    At least once per day4.082 (3.038–5.485)<0.0014.646 (3.447–6.261)<0.0013.723 (2.773–4.998)<0.001
Caregivers consumed SSBs at least once per week (reference: less than once per week)1.912 (1.623–2.251)<0.0011.527 (1.299–1.796)<0.0011.210 (1.035–1.415)0.017
Caregivers read the Nutrition Facts Panel frequently (reference: infrequently)0.579 (0.491–0.683)<0.0010.681 (0.578–0.803)<0.0010.852 (0.727–0.999)0.049
Caregivers took children to fast-food restaurants at least once per week (reference: less than once per week)1.745 (1.411–2.157)<0.0011.608 (1.310–1.973)<0.0011.420 (1.176–1.716)<0.001
VariableCarbonated beverages *Tea beverages *Sports/energy beverages*
OR (95% CI)p valueOR (95% CI)p valueOR (95% CI)p value
Girls (reference: boys)0.838 (0.714–0.983)0.0300.866 (0.723–1.037)0.1180.625 (0.516–0.756)<0.001
Age group (years)
    >5 and ≤6 (reference: ≤5)1.183 (0.950–1.474)0.1331.163 (0.904–1.497)0.2411.288 (0.977–1.700)0.073
    >6 (reference: ≤5)1.629 (1.277–2.078)<0.0011.555 (1.180–2.050)0.0021.975 (1.469–2.655)<0.001
The only child in the family (reference: no)0.754 (0.635–0.895)0.0010.831 (0.685–1.007)0.0590.698 (0.573–0.851)<0.001
Annual household income per capita >150 thousand RMB (23,265 dollars) (reference: ≤150 thousand RMB)0.998 (0.850–1.171)0.9790.737 (0.616–0.883)<0.0010.840 (0.696–1.014)0.069
Exposure to advertisements of the corresponding SSB category (reference: never)
    Less than once per week2.695 (2.095–3.465)<0.0014.564 (3.393–6.139)<0.0013.674 (2.769–4.875)<0.001
    1 to 6 times per week3.270 (2.517–4.248)<0.0015.968 (4.349–8.190)<0.0014.120 (3.007–5.644)<0.001
    At least once per day3.142 (2.330–4.238)<0.0015.211 (3.624–7.494)<0.0014.257 (2.961–6.119)<0.001
Caregivers consumed SSBs at least once per week (reference: less than once per week)1.716 (1.454–2.025)<0.0011.714 (1.420–2.068)<0.0011.508 (1.239–1.836)<0.001
Caregivers read the Nutrition Facts Panel frequently (reference: infrequently)0.720 (0.608–0.852)<0.0010.700 (0.577–0.848)<0.0010.845 (0.693–1.030)0.096
Caregivers took children to fast-food restaurants at least once per week (reference: less than once per week)1.661 (1.376–2.005)<0.0011.825 (1.489–2.238)<0.0011.647 (1.331–2.037)<0.001
Notes: Adjusted for the preschooler’s gender, age, whether the child was the only child in the family, annual per capita family income. * Milk beverages (sugar-sweetened milk beverages that were not milk or yogurt, e.g., lactobacillus beverages, Nutri-Express, AD Calcium Milk); fruit/vegetable beverages (vegetable- or fruit-flavored beverages that were not 100 % fruit or vegetable juice, e.g., Orange Multi); vegetable protein beverages (e.g., soya-bean milk drink, walnut drink, syrup of almond); carbonated beverages (e.g., cola, Sprite); tea beverages (e.g., iced tea, jasmine tea); sports/energy beverages (e.g., Vitamin Water, Red Bull, Mizone).
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Yan, R.; Gong, E.; Li, X.; Zheng, L.; Liao, W.; Min, K.; Su, F.; Wang, L.; Wang, J.; Hu, D.; et al. Impact of Obesogenic Environments on Sugar-Sweetened Beverage Consumption among Preschoolers: Findings from a Cross-Sectional Survey in Beijing. Nutrients 2022, 14, 2860. https://doi.org/10.3390/nu14142860

AMA Style

Yan R, Gong E, Li X, Zheng L, Liao W, Min K, Su F, Wang L, Wang J, Hu D, et al. Impact of Obesogenic Environments on Sugar-Sweetened Beverage Consumption among Preschoolers: Findings from a Cross-Sectional Survey in Beijing. Nutrients. 2022; 14(14):2860. https://doi.org/10.3390/nu14142860

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Yan, Ruijie, Enying Gong, Xinxuan Li, Lutong Zheng, Wei Liao, Kaiyuan Min, Fenghua Su, Lianjun Wang, Jing Wang, Denghui Hu, and et al. 2022. "Impact of Obesogenic Environments on Sugar-Sweetened Beverage Consumption among Preschoolers: Findings from a Cross-Sectional Survey in Beijing" Nutrients 14, no. 14: 2860. https://doi.org/10.3390/nu14142860

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