您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(医学版)》

山东大学学报 (医学版) ›› 2025, Vol. 63 ›› Issue (4): 10-18.doi: 10.6040/j.issn.1671-7554.0.2024.1310

• 营养、肠道微生态及相关疾病 • 上一篇    

山东省高中生膳食与体质、心理健康的相关性

乔嘉睿1,尤欣语1,贾雪1,王文华1,刘少壮2,伊向仁3,王保珍1   

  1. 1. 山东大学齐鲁医学院公共卫生学院营养与食品卫生学系, 山东 济南 250012;2. 山东大学齐鲁医院减重与代谢外科, 山东 济南 250012;3. 山东大学体育学院, 山东 济南 250061
  • 发布日期:2025-04-08
  • 通讯作者: 王保珍. E-mail:bzhenw@sdu.edu.cn
  • 基金资助:
    山东大学自主创新基金项目(HSSDB1502)

Relationship between diet and physical and mental health among senior high school students in Shandong Province, China

QIAO Jiarui1, YOU Xinyu1, JIA Xue1, WANG Wenhua1, LIU Shaozhuang2, YI Xiangren3, WANG Baozhen1   

  1. 1. Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China;
    3. School of Physical Education, Shandong University, Jinan 250061, Shandong, China
  • Published:2025-04-08

摘要: 目的 探讨山东省高中生膳食模式与体质、心理健康的相关性。 方法 采用概率比例抽样方法,最终纳入符合条件的高中生1 102名。高中生膳食数据通过简化的食物频率问卷收集,体质数据通过国家体质健康测试获取,心理健康数据通过症状自评量表(SCL-90)获得。采用主成分分析法构建不同的膳食模式,根据膳食模式因子得分将研究对象分为Q1-Q4组;多元线性回归分析膳食模式与体质及心理健康的关系。 结果 主成分分析得出3种主要膳食模式:饮料快餐模式、肉蛋奶-水果模式、素食模式。在体质健康方面,饮料快餐模式与体测得分显著负相关(模型1:β=-3.86~1.76,P<0.05),但在控制潜在混杂因素后,仅Q3、Q4组与体测总分保持显著关联(P<0.05)。肉蛋奶-水果模式在模型1中与体测总分正相关(β=2.21~2.27,P<0.05),但在调整混杂因素后关联不再显著(P>0.05)。素食模式与体测得分无显著关联(P>0.05)。在心理健康方面,饮料快餐模式与SCL-90量表总分正相关(模型1:β=0.11~0.13,P<0.05),在控制混杂因素后,仅Q3组与SCL-90量表总分关联不再显著(P>0.05)。素食模式的高分组与SCL-90量表总分负相关,且在控制混杂因素后仍显著(P<0.05)。肉蛋奶-水果模式与SCL-90量表总分无显著关联(P>0.05)。 结论 山东省高中生中饮料快餐模式占比高,与体质健康和心理健康问题显著相关,而肉蛋奶-水果模式对体质健康有益但对心理健康影响不显著,素食模式对心理健康有潜在保护作用,凸显了个体化健康指导的重要性,建议学校、家庭和公共卫生部门据此制定针对性干预措施,改善青少年膳食模式,促进其全面健康成长。

关键词: 膳食模式, 高中生, 身心健康, 多元线性回归, 主成分分析

Abstract: Objective To explore the relationship between dietary patterns and physical and mental health of senior high school students in Shandong Province. Methods The study was conducted using probability proportional sampling, resulting in the inclusion of 1,102 eligible senior high school students. The dietary data of the senior high school students were collected using a simplified food frequency questionnaire, physical fitness data were collected using the National Physical Fitness Test, and mental health data were collected using the Symptom Self-Assessment Scale(SCL-90). Principal component analysis was used to construct different dietary patterns, and the study participants were divided into Q1-Q4 groups according to the dietary pattern factor scores; multiple linear regression was used to analyze the relationship between dietary patterns and physical fitness and mental health. Results Principal component analysis revealed 3 main dietary patterns: beverage-fast-food pattern, meat-egg-milk-fruit pattern, and vegetarian pattern. In terms of physical fitness, the beverage-fast-food pattern was significantly and negatively associated with the physical test score(model 1: β=-3.86-1.76, P<0.05), but after controlling for potential confounders, only the Q3 and Q4 groups maintained a significant association with the total physical test score(P<0.05). The meat-egg-milk-fruit pattern was positively associated with the total physical test score in model 1(β=2.21-2.27, P<0.05), but the association was no longer significant after adjusting for confounders(P>0.05). Vegetarian pattern was not significantly associated with total physical test score(P>0.05). In terms of mental health, the beverage-fast-food pattern was positively associated with the total SCL-90 scale score(model 1: β=0.11-0.13, P<0.05), and the association was no longer significant after controlling for confounders for the Q3 group only(P>0.05). The high score of the vegetarian pattern was negatively associated with the total SCL-90 scale score and remained significant after controlling for confounders(P<0.05). The meat-egg-milk-fruit pattern was not significantly associated with the total SCL-90 scale score(P>0.05). Conclusion The high proportion of beverage-fast-food diet pattern among high school students in Shandong Province is significantly associated with physical health and mental health problems. The meat-egg-milk-fruit pattern is beneficial to physical health but has no significant effect on mental health. The vegetarian pattern has potential protective effect on mental health. The importance of individual health counselling is emphasized. It is recommended that schools, families and public health authorities develop targeted interventions accordingly to improve adolescents dietary patterns and promote their overall healthy development.

Key words: Dietary patterns, Senior high school students, Physical and mental health, Multiple linear regression, Principal component analysis

中图分类号: 

  • R459.3
[1] Cotton NK, Shim RS. Social determinants of health, structural racism, and the impact on child and adolescent mental health[J]. J Am Acad Child Adolesc Psychiatry, 2022, 61(11): 1385-1389.
[2] Patton GC, Sawyer SM, Santelli JS, et al. Our future: a Lancet commission on adolescent health and wellbeing[J]. Lancet, 2016, 387(10036): 2423-2478.
[3] 2017 Child and Adolescent Health Collaborators GBD, Reiner RC Jr, Olsen HE, et al. Diseases, injuries, and risk factors in child and adolescent health, 1990 to 2017: findings from the global burden of diseases, injuries, and risk factors 2017 study[J]. JAMA Pediatr, 2019, 173(6): e190337. doi:10.1001/jamapediatrics.2019.0337
[4] World Health Organization. Adolescent and young adult health [EB/OL].(2024-11-26)[2025-02-12]. https://www.who.int/news-room/fact-sheets/detail/adolescents-health-risks-and-solutions
[5] 国家卫生健康委员会.中国居民营养与慢性病状况报告(2020年)[J]. 营养学报, 2020, 42(6): 521.
[6] 中国营养学会. 中国居民膳食指南(2022)[M]. 北京: 人民卫生出版社, 2022.
[7] 国家统计局. 第七次名口普查主要数据 [EB/OL].(2021-11-26)[2025-01-17]. https://www.stats.gov.cn/sj/pcsj/rkpc/d7c/
[8] 张志荣, 梁佳志, 张晋昕. 中国三地区中学生心理亚健康状态及影响因素分析[J]. 中国学校卫生, 2018, 39(7): 1030-1032. ZHANG Zhirong, LIANG Jiazhi, ZHANG Jinxin. State of psychological sub-health and influencing factors of middle school students in three regions of China[J]. Chinese Journal of School Health, 2018, 39(7): 1030-1032.
[9] Song YL, Liu JR, Zhao YZ, et al. Unhealthy lifestyles and clusters status among 3637 adolescents aged 11-23 years: a school-based cross-sectional study in China[J]. BMC Public Health, 2023, 23(1): 1279. doi:10.1186/s12889-023-16197-3
[10] 赵玉秋,王法艳,朱鹏,等. 体质量指数与儿童青少年体能指数关联性研究[J]. 中华流行病学杂志,2012,33(3):265-268. ZHAO Yuqiu, WANG Fayan, ZHU Peng, et al. Association between body mass index and physical fitness index among children and adolescents[J]. Chinese Journal of Epidemiology, 2012, 33(3): 265-268.
[11] Zhang P, Yang F, Huang N, et al. Assessment of factors associated with mental well-being among Chinese youths at individual, school, and province levels[J]. JAMA Netw Open, 2023, 6(7): e2324025. doi:10.1001/jamanetworkopen.2023.24025
[12] Dokhani A, Dehghan M, Rayani M, et al. Factors associated with disordered feeding among high school students in Kerman City, Iran[J]. J Eat Disord, 2022, 10(1): 36. doi:10.1186/s40337-022-00559-0
[13] Akah LU, Owan VJ, Uduigwomen GA, et al. Psychological variables and consumption of healthy meals among first cycle students in Calabar metropolis, Nigeria[J]. J Educ Res Dev Areas, 2022, 3(2): 223-236.
[14] Du XF, Liu ZX. Influence of physical education on the mental health of college students[J]. Rev Bras Med Esporte, 2022, 28(4): 311-314.
[15] 中华人民共和国教育部. 《国家学生体质健康标准(2014年修订)》 [EB/OL].(2014-07-07)[2024-08-28]. http://www.moe.gov.cn/s78/A17/twys_left/moe_938/moe_792/s3273/201407/t20140708_171692.html
[16] Rasheed S, Aslam M, Ejaz M, et al. Association of unhealthy food practices with nutritional status of adolescents[J]. Biomed J Sci Tech Res, 2021, 33:2. doi:10.26717/bjstr.2021.33.005389
[17] Preventive Services Task Force US, Grossman DC, Bibbins-Domingo K, et al. Screening for obesity in children and adolescents: US preventive services task force recommendation statement[J]. JAMA, 2017, 317(23): 2417-2426.
[18] Lamou B, Hamadou A, Miboo P, et al. Physical fitness, hemodynamic parameters and body fat percentage in urban Cameroonian adolescents with normal weight and overweight/obese[J]. Int J Spo Phy Edu, 2023, 9(3): 11-20.
[19] Zdziarski LA, Wasser JG, Vincent HK. Chronic pain management in the obese patient: a focused review of key challenges and potential exercise solutions[J]. J Pain Res, 2015, 8: 63-77. doi:10.2147/JPR.S55360
[20] López-Alonzo SJ, Villegas Balderrama CV, Guedea-Delgado JC, et al. Association between indicators of physical fitness and body weight status in high school students[J]. Nutr Hosp, 2022, 39(6): 1212-1219. doi:10.20960/nh.04096
[21] Wang ZH, Ma HH, Zhang WW, et al. Effects of functional strength training combined with aerobic training on body composition, physical fitness, and movement quality in obese adolescents[J]. Nutrients, 2024, 16(10): 1434. doi:10.3390/nu16101434
[22] Barros WMA, da Silva KG, Silva RKP, et al. Effects of overweight/obesity on motor performance in children: a systematic review[J]. Front Endocrinol, 2022, 12: 759165. doi:10.3389/fendo.2021.789165
[23] Bendor CD, Bardugo A, Pinhas-Hamiel O, et al. Cardiovascular morbidity, diabetes and cancer risk among children and adolescents with severe obesity[J]. Cardiovasc Diabetol, 2020, 19(1): 79. doi:10.1186/s12933-020-01052-1
[24] 陈蕾光, 魏婷. 合理膳食对青少年体育锻炼的价值与应用要求研究[J]. 体育世界, 2024(8): 151-153.
[25] Karpouzos A, Diamantis E, Farmaki P, et al. Nutritional aspects of bone health and fracture healing[J]. J Osteoporos, 2017, 2017: 4218472. doi:10.1155/2017/4218472
[26] Hamda N, Navaneetha R. An overview of osteoporosis in the elderly population: role of nutrition and physical activity[J]. Int J Res Appl Sci Eng Technol, 2022, 10(9): 1246-1251.
[27] Vieira M, Carvalho GS. The impact of the ‘planning health in school’ programme on a pair of twins with obesity[J]. Children, 2022, 9(12): 1866. doi:10.3390/children9121866
[28] Bowman SA. A vegetarian-style dietary pattern is associated with lower energy, saturated fat, and sodium intakes; and higher whole grains, legumes, nuts, and soy intakes by adults: national health and nutrition examination surveys 2013-2016[J]. Nutrients, 2020, 12(9): 2668. doi:10.3390/nu12092668
[29] Kulnigg-Dabsch S. Autoimmune gastritis[J]. Wien Med Wochenschr, 2016, 166(13/14): 424-430.
[30] Desbrow B. Youth athlete development and nutrition[J]. Sports Med, 2021, 51(1): 3-12.
[31] Kendall PC, Meyer M, Ney JS. Trends, advances and directions in cognitive-behavioral therapy for adolescent anxiety[J]. World Psychiatry, 2024, 23(3): 442-443.
[32] Friedrich MJ. Rates of youth obesity increase around the world[J]. Jama, 2016, 315(11): 1100.
[33] Page KC, Anday EK. Dietary exposure to excess saturated fat during early life alters hippocampal gene expression and increases risk for behavioral disorders in adulthood[J]. Front Neurosci, 2020, 14: 527258. doi:10.3389/fnins.2020.527258
[34] Sarangi M, Dus M. Crème de la Créature: dietary influences on behavior in animal models[J]. Front Behav Neurosci, 2021, 15: 746299. doi:10.3389/fnbeh.2021.746299
[35] Brandão LEM, Popa A, Cedernaes E, et al. Exposure to a more unhealthy diet impacts sleep microstructure during normal sleep and recovery sleep: a randomized trial[J]. Obesity, 2023, 31(7): 1755-1766.
[36] Blancas-Velazquez A, Mendoza J, Garcia AN, et al. Diet-induced obesity and circadian disruption of feeding behavior[J]. Front Neurosci, 2017, 11: 23. doi:10.3389/fnins.2017.00023
[37] Romaní-Pérez M, Bullich-Vilarrubias C, López-Almela I, et al. The microbiota and the gut-brain axis in controlling food intake and energy homeostasis[J]. Int J Mol Sci, 2021, 22(11): 5830. doi:10.3390/ijms22115830
[38] Shuaibu FM, Ahmad Gasma M, Abubakar A. Impacts of food on mind, health, and relationships: a synthesis of current research[J]. Int J Health Sci Res, 2023, 13(11): 230-239.
[39] Mrozek W, Socha J, Sidorowicz K, et al. Pathogenesis and treatment of depression: role of diet in prevention and therapy[J]. Nutrition, 2023, 115: 112143. doi:10.1016/j.nut.2023.112143
[40] Begdache L, Sadeghzadeh S, Derose G, et al. Diet, exercise, lifestyle, and mental distress among young and mature men and women: a repeated cross-sectional study[J]. Nutrients, 2020, 13(1): 24. doi:10.3390/nu13010024
[41] Su HM. Mechanisms of n-3 fatty acid-mediated development and maintenance of learning memory performance[J]. J Nutr Biochem, 2010, 21(5): 364-373.
[42] Maffei ME. 5-hydroxytryptophan(5-HTP): natural occurrence, analysis, biosynthesis, biotechnology, physiology and toxicology[J]. Int J Mol Sci, 2020, 22(1): 181. doi:10.3390/ijms22010181
[43] Wu SZ, Xiu XL, Qian Q. Associations between dietary patterns and physical activity with physical fitness among adolescents in Shandong Province, China: a cross-sectional study[J]. Nutrients, 2023, 15(6): 1425. doi:10.3390/nu15061425
[1] 王智璠,林小仙,阴佳璐,王东亮,王姝麒. 不同炖煮温度燕窝次生代谢化学成分组学[J]. 山东大学学报 (医学版), 2023, 61(4): 10-17.
[2] 陈炳荣,施勇旺,李嘉浩,翟吉良,刘梁,刘文勇,胡磊,赵宇. 基于支持向量机的脊柱离体组织电阻抗识别[J]. 山东大学学报 (医学版), 2023, 61(3): 57-62.
[3] 李艳,孙凤娇,张天然,王雨心,张正铎,高希宝. 高糖、高脂饮食与不同浓度硒对大鼠脂代谢及氧化应激的影响[J]. 山东大学学报 (医学版), 2020, 58(5): 98-106.
[4] 吕岩,于潇,蔺新英,赵琦,王保珍. 聊城市老年女性膳食模式与抑郁症状的关系[J]. 山东大学学报 (医学版), 2020, 58(11): 103-108.
[5] 毛毳,李媛媛,厉萍. 高中生父母教养方式与非自杀性自伤的关系:性别的调节作用[J]. 山东大学学报 (医学版), 2020, 58(1): 100-105.
[6] 邵纯纯,张媛,洪凡真,肖娟,刘焕娣,贾红英,张英辉. 山东省某三甲医院瘢痕子宫产妇再次分娩住院费用及其影响因素[J]. 山东大学学报 (医学版), 2019, 57(2): 88-92.
[7] 曹明昆,许意清,李宜霏,姜珍霞,张西江,李秀芳,姜宝法. 影响青岛市大龄女性性工作者安全套使用的心理社会因素分析[J]. 山东大学学报 (医学版), 2018, 56(6): 58-62.
[8] 魏颖, 孙雅文, 高优美, 薛付忠, 于红霞, 张成琪. 济南市部分职业女性膳食模式与超重、血压、血糖和血脂异常的关系[J]. 山东大学学报(医学版), 2014, 52(8): 102-107.
[9] 张颖,陈红梅,吴欣怡. 山东省寿光市高中生干眼患病率及影响因素[J]. 山东大学学报(医学版), 2014, 52(3): 82-85.
[10] 孙雅文1,高优美1,唐芳2,薛付忠1,张成琪2,于红霞1. 济南市健康体检女性膳食模式与测量指标的相关性[J]. 山东大学学报(医学版), 2013, 51(11): 98-101.
[11] 张新新1,李雨1,纪玉佳2,王鹏2,张永清2,薛付忠1. 主成分-线性判别分析在中药药性识别中的应用[J]. 山东大学学报(医学版), 2012, 50(1): 143-146.
[12] 于连龙1,王菊生2,王淑娥1,张凤凤3,赵长峰1. 中老年血脂异常患者6种微量元素营养状况的主成分分析[J]. 山东大学学报(医学版), 2012, 50(1): 140-142.
[13] 高青松,薛付忠. 核主成分logistic回归模型在非线性关联分析中的应用[J]. 山东大学学报(医学版), 2011, 49(5): 140-.
[14] 彭倩倩,薛付忠
. permutationPCA方法在病例对照关联
分析中不同遗传模型下的表现
[J]. 山东大学学报(医学版), 2009, 47(03): 94-97.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!