Ultra-processed foods intake in relation to metabolic health status, serum brain-derived neurotrophic factor and adropin levels in adults.

IF 4.4 2区医学 Q1 NUTRITION & DIETETICS Nutrition Journal Pub Date : 2024-10-09 DOI:10.1186/s12937-024-01024-1

Donya Poursalehi, Shahnaz Amani Tirani, Farnaz Shahdadian, Zahra Hajhashemy, Parisa Rouhani, Parvane Saneei

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Abstract

Background: In recent years, there has been a lot of discussion over the impact of ultra-processed foods (UPFs) intake on overall health of subjects. However, the association between UPFs intake and metabolic unhealthy (MU) status is still in a state of ambiguity. The current study assessed the relationship between UPFs intake and MU status with regard to brain-derived neurotrophic factor (BDNF) and adropin levels.

Methods: A sample of Iranian adults (aged 20-65 years) was selected to participate in this cross-sectional study using a multistage cluster random-sampling method. UPFs intake was assessed by a validated food frequency questionnaire and NOVA classification. Concentrations of metabolic parameters, BDNF and adropin were determined through fasting blood samples. MU status was assessed according to the criteria proposed by Wildman.

Results: The overall prevalence of MU phenotype among study participants (n = 527) was 42.5%. Higher intake of UPFs was associated with elevated odds of MU status in multivariable-adjusted model (OR_{T3 vs. T1}=1.88; 95%CI: 1.02-3.45). Moreover, a positive association was observed between UPFs intake and hypertriglyceridemia after controlling all confounders (OR_{T3 vs. T1}=2.07; 95%CI: 1.15-3.73). However, each tertile increase in UPFs intake was not significantly associated with serum BDNF ([Formula: see text]=0.15; 95%CI: -0.05, 0.34; P = 0.14) and adropin ([Formula: see text]=-1.37; 95%CI: -6.16, 3.42; P = 0.58) levels in multivariable-adjusted linear regression models.

Conclusion: Our findings suggested that higher consumption of UPFs was related to increased likelihood of MU status among a sample of Iranian adults. Further longitudinal studies are needed to verify the directionality and generalizability of the results to all adult populations.

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超加工食品摄入量与成人代谢健康状况、血清脑源性神经营养因子和阿托品水平的关系。

背景：近年来，有关超加工食品（UPFs）摄入量对受试者整体健康影响的讨论不绝于耳。然而，UPFs 摄入量与新陈代谢不健康（MU）状况之间的关系仍不明确。本研究通过脑源性神经营养因子（BDNF）和阿托品水平评估了UPFs摄入量与代谢不健康状态之间的关系：本研究采用多阶段群组随机抽样法，从伊朗成年人（20-65 岁）中抽取样本参与横断面研究。UPFs 摄入量通过有效的食物频率问卷和 NOVA 分类进行评估。通过空腹血样测定代谢参数、BDNF和阿托品的浓度。MU状态根据威尔曼提出的标准进行评估：结果：研究参与者（n = 527）中MU表型的总患病率为42.5%。在多变量调整模型中，摄入更多的 UPFs 与 MU 状态几率升高有关（ORT3 vs. T1=1.88；95%CI：1.02-3.45）。此外，在控制所有混杂因素后，还观察到UPFs摄入量与高甘油三酯血症之间存在正相关（ORT3 vs. T1=2.07；95%CI：1.15-3.73）。然而，在多变量调整线性回归模型中，UPFs摄入量每增加一个三等分位数与血清BDNF（[公式：见正文]=0.15；95%CI：-0.05，0.34；P=0.14）和腺苷（[公式：见正文]=-1.37；95%CI：-6.16，3.42；P=0.58）水平无明显关联：我们的研究结果表明，在伊朗成年人样本中，较高的 UPFs 消费量与 MU 状态的可能性增加有关。需要进一步开展纵向研究，以验证研究结果的方向性和对所有成年人群的普适性。

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来源期刊

Nutrition Journal NUTRITION & DIETETICS-

CiteScore

9.80

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered. Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies. In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.