Nutrient deficiency profiles and depression: A latent class analysis study of American population.
Background: Research into the effects of nutrition on depression is often performed by examining the effects of singular nutrients and dietary styles (e.g.: vegan, Mediterranean). The present study is the first one to establish the effects of patterns of nutritional deficiency within the American po...
| Publicado en: | Journal of Affective Disorders Vol. 317; pp. 339 - 347 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Nov2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159431226&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159431226 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01650327 3M9 jtl: Journal of Affective Disorders issn: 01650327 maglogo: N pubinfo: dt: Nov2022 vid: 317 pid: 1004 pub: Elsevier B.V. artinfo: ui: 159431226 159431226 NLM36049605 159431226 10.1016/j.jad.2022.08.100 NLM36049605 159431226 ppf: 339 ppct: 8 formats: tig: atl: Nutrient deficiency profiles and depression: A latent class analysis study of American population. aug: au: Owczarek, Marcin Jurek, Joanna Nolan, Emma Shevlin, Mark affil: University of Ulster, Coleraine, United Kingdom sug: subj: Magnesium Depression Epidemiology Female Diet Male United States Surveys Dietary Fiber Human Female Male ab: Background: Research into the effects of nutrition on depression is often performed by examining the effects of singular nutrients and dietary styles (e.g.: vegan, Mediterranean). The present study is the first one to establish the effects of patterns of nutritional deficiency within the American population and examines their effects on depression.Methods: Data was drawn from National Health and Nutrition Examination Survey (NHANES). Latent class analysis was performed to identify homogeneous groups of nutrient deficiency. A 3-step analysis was performed to establish class-dependant differences in depression severity. BCH analysis revealed unique predictors of depression dependant on most probable class.Results: Analysis revealed 4 classes of nutrient deficiency. Magnesium and dietary fibre were the least endorsed. 'Nutrient deprived' individuals showed the highest depression severity (Mean = 4.137, SD = 0.337). Profiles were predicted by different socioeconomic and anthropogenic predictors with meeting minimum calories showing the strongest odds of not being nutrient deprived (OR between 5.44 and 11.11). Overall, age (β = -0.115, p ≤ 0.01) and income (β = -0.147, p ≤ 0.01) were the strongest protecting factors while being female (β = 0.128, p ≤ 0.01) and arthritis (β = 0.130, p ≤ 0.01) were the strongest risk factors.Limitations: The study involved binary variables based on minimum daily intakes and did not account for positive effects of exceeding minimum recommended doses.Conclusions: The study supports the notion of a negative relationship between good nutrition and depression. Finding unique risk factors for depression symptoms supports the utility of nutrient deficiency profiling. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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