Trial reportNutrients2015
Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort.
Trial report in Nutrients, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF).The international journal of behavioral nutrition and physical activity · 2022Trial
- Trial
- Urinary signatures are associated with calorie restriction-mediated weight loss in obese Diversity Outbred mice.PloS one · 2025Article
- The future backbone of nutritional science: integrating public health priorities with system-oriented precision nutrition.The British journal of nutrition · 2024Review
- Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study.International journal of environmental research and public health · 2022Observational
- Does Interaction between Sleep Quality and Major Dietary Patterns Predicts Depression among Overweight and Obese Women in Iran?Iranian journal of public health · 2021Article
- Longitudinal Changes in Food Addiction Symptoms and Body Weight among Adults in a Behavioral Weight-Loss Program.Nutrients · 2020Article
- Contribution of macronutrients to obesity: implications for precision nutrition.Nature reviews. Endocrinology · 2020Review
- The Role of Nutrition in the Prevention and Intervention of Type 2 Diabetes.Frontiers in bioengineering and biotechnology · 2020Review
- Associations between olfactory pathway gene methylation marks, obesity features and dietary intakes.Genes & nutrition · 2019Article
- Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake.Brain and behavior · 2018Article
- Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study.The international journal of behavioral nutrition and physical activity · 2017Article
- Article
- Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors.PloS one · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 9 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity prevalence is increasing. The management of this condition requires a detailed analysis of the global risk factors in order to develop personalised advice. This study is aimed to identify current dietary patterns and habits in Spanish population interested in personalised nutrition and investigate associations with weight status. Self-reported dietary and anthropometrical data from the Spanish participants in the Food4Me study, were used in a multidimensional exploratory analysis to define specific dietary profiles. Two opposing factors were obtained according to food groups' intake: Factor 1 characterised by a more frequent consumption of traditionally considered unhealthy foods; and Factor 2, where the consumption of "Mediterranean diet" foods was prevalent. Factor 1 showed a direct relationship with BMI (β = 0.226; r² = 0.259; p < 0.001), while the association with Factor 2 was inverse (β = -0.037; r² = 0.230; p = 0.348). A total of four categories were defined (Prudent, Healthy, Western, and Compensatory) through classification of the sample in higher or lower adherence to each factor and combining the possibilities. Western and Compensatory dietary patterns, which were characterized by high-density foods consumption, showed positive associations with overweight prevalence. Further analysis showed that prevention of overweight must focus on limiting the intake of known deleterious foods rather than exclusively enhance healthy products.
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