Globally, the high consumption levels of sugar-sweetened beverages (SSBs) and their effect on health have drawn significant attention. This study aimed to identify the consumption patterns of SSBs among children in rural areas of Guangzhou, China, and explore their association with undernutrition. A total of 1864 children aged 9–17 years old were included in this study. Demographics, lifestyle behaviors, and anthropometric and dietary information were collected. Factor analysis was used to identify patterns of SSBs, while nutritional status was assessed using Body Mass Index (BMI). Latent class analysis was used to establish dietary preference models. Log-binomial regression analysis was used to analyze the association between SSBs consumption patterns and undernutrition. The undernutrition prevalence in children was 14.54–19.94% in boys and 9.07% in girls. Three SSB consumption patterns were identified, including the plant protein pattern, dairy-containing pattern, and coffee pattern. Both medium-high (Q3) and the highest (Q4) scores in the dairy-containing pattern were positively associated with the risk of undernutrition, especially in boys. Furthermore, the highest scores in the plant protein pattern and coffee pattern were positively associated with the risk of undernutrition in children aged 9–10 years old. The dairy-containing pattern was a risk factor for undernutrition in children, especially for boys; the plant protein patterns and coffee patterns were risk factors for undernutrition in children aged 9–10 years old. The findings of the study can provide scientific evidence and policy recommendations for improving children’s health conditions.

Background: Childhood obesity is a major public health challenge in the 21st century, and diet is one of the key modifiable factors in its prevention. This study examined the link between dietary patterns of children and general and central obesity, including the role of C-reactive protein (CRP). Methods: This study enrolled 2413 children aged 9–17. Anthropometric measurements, CRP levels, and dietary data were collected. Factor analysis identified dietary patterns, and logistic regression examined the association between CRP levels and childhood obesity. Multiple linear regression determined the correlation between dietary patterns and CRP. Mediation analysis assessed the role of CRP in the link between dietary patterns and childhood obesity. Results: Three dietary patterns were identified. The rice and meat pattern was significantly correlated to the risk of childhood obesity (OR = 1.166, 95%CI: 1.000, 1.359 for general obesity; OR = 1.215, 95%CI: 1.071, 1.377 for central obesity). CRP was positively correlated with childhood obesity risk (OR = 2.301, 95%CI: 1.776, 2.982 for general obesity; OR = 2.165, 95%CI: 1.738, 2.697 for central obesity). The fruit and vegetable pattern was inversely related to CRP (β= −0.059, 95%CI: −0.081, −0.036), while the snack pattern was positively correlated (β= 0.043, 95%CI: 0.020, 0.065). CRP had a suppressive effect on the association between the fruit and vegetable pattern and snack pattern with childhood obesity. Conclusions: This study revealed the rice and meat pattern as a risk factor for childhood obesity, and cross-sectional evidence linked the fruit and vegetable pattern and snack pattern to childhood obesity risk, mediated by CRP.

Background: Childhood metabolic syndrome (MetS) represents a growing public health concern in China, with diet emerging as a critical modifiable risk factor. Although numerous studies have explored the relationship between dietary patterns and MetS, the specific influence of dietary patterns associated with serum uric acid (SUA) levels in the young population remains poorly understood. The purpose of this study is to investigate the relationship between an SUA-related dietary pattern and MetS risk among children aged 9–17 years in Guangzhou, China. Methods: A cross-sectional study was conducted in Guangzhou from March 2023 to May 2024, including 4181 participants. To identify the dietary pattern associated with SUA, we employed reduced-rank regression (RRR) using 15 predefined food groups. The multivariate logistic regression models were applied to evaluate the association between the SUA-related dietary pattern scores (as continuous variables and tertiles) and the risk of MetS and its five components. Results: The SUA-related dietary pattern was characterized by high consumption of meat & meat products and beverages, and low consumption of fresh vegetables, fresh fruits & their products, eggs, dairy products, and sugary food. After adjusting for confounding factors, each one-unit increase in the SUA-related dietary pattern score corresponded to 27% higher odds of MetS (OR = 1.27, 95% CI: 1.00–1.62), and 24% higher odds of central obesity (OR = 1.24, 95% CI: 1.11–1.38). In subgroup analyses, higher adherence to the SUA-related dietary pattern scores was linked to significantly increased odds of MetS (adjusted OR = 1.69, 95% CI: 1.18–2.42) and central obesity (adjusted OR = 1.39, 95% CI: 1.20–1.62) among participants with insufficient physical activity. Conclusions: Higher adherence to the SUA-related dietary pattern was associated with higher odds of MetS in Chinese children, particularly among those with insufficient physical activity. The results provide new insights into the relationship between dietary patterns and childhood MetS, offering dietary strategies focused on managing SUA levels to prevent MetS.