Evidence map›Paper›PMID 33374693›Full record

ArticleNutrients2020

Diet, Exercise, Lifestyle, and Mental Distress among Young and Mature Men and Women: A Repeated Cross-Sectional Study.

Lina Begdache, Saloumeh Sadeghzadeh, Gia Derose, Cassandra Abrams

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Impact ofFrontiers in microbiology · 2024
    Article
  7. Bioactive Compounds for Customized Brain Health: What Are We and Where Should We Be Heading?International journal of environmental research and public health · 2023
    Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Lina BegdacheHealth and Wellness Studies Department, Binghamton University, Binghamton, NY 13902, USA.ORCID 0000-0001-5213-6979
Saloumeh SadeghzadehSchool of Management, Binghamton University, Binghamton, NY 13902, USA.
Gia DeroseDepartment of Biological Sciences, Binghamton University, Binghamton, NY 13902, USA.
Cassandra AbramsSchool of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.
Binghamton University · USStony Brook University · US

Funding

Experiment.com 84888
6 · The paper itself

Abstract

Customization of mental health therapies needs to consider the differences in degree of brain maturity between young (18-29 years) and mature (30 years or older) adults as well as brain morphology among men and women. The aim of this study was to identify the significant dietary and lifestyle contributors to mental distress in these sub-populations. Independent repeated cross-sectional sampling was performed for over a 5-year period (2014-2019) to collect data from different populations at different time-points and seasons. A backward stepwise regression analysis was used on 2628 records. Mental distress in young women was associated with high consumption of caffeine and fast-food, and it was negatively correlated with moderate-high levels of exercise as well as frequent breakfast consumption. Mature women shared several common factors with young women; however, high fruit consumption was negatively associated with mental distress. For young men, high exercise, moderate consumption of dairy, and moderate-high intake of meat were negatively associated with mental distress. In addition, high fast-food and caffeine consumption were positively associated with mental distress in young men. For mature men, strong negative associations between higher education, moderate intake of nuts and mental distress surfaced. Our results support the need to customize dietary and lifestyle recommendations to improve mental wellbeing.

Indexed as

ExerciseLife StylePsychological DistressAdolescentAdultAge FactorsCross-Sectional StudiesDietFast FoodsFemaleFruitHumansMaleRegression AnalysisSex FactorsYoung Adultbiological sexbrain maturitymature adultsmental distressmental wellbeingpersonalization of dietyoung adults

Identifiers

PMID33374693
PMCPMC7822407
OpenAlexW3113946400

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.