Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 23

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Higher Levels of Physical Activity are Associated with Greater Fruit and Vegetable Intake in Older Adults

van der Avoort, Cindy M.T., ten Haaf, D.S.M., de Vries, J.H.M., Verdijk, L.B., van Loon, L.J.C., Eijsvogels, T.M.H., Hopman, M.T.E.·2021·The Journal of nutrition, health and aging
DOI 10.1007/s12603-020-1520-3
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12603-020-1520-3

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Research works printed but not linked: 64

  1. Nowson, 2018, The impact of dietary factors on indices of chronic disease in older people: A systematic review, The journal of nutrition, health & aging, 22, 282, 10.1007/s12603-017-0920-5 · DOI
  2. Maessen, 2016, Lifelong Exercise Patterns and Cardiovascular Health, Mayo Clin Proc, 91, 745, 10.1016/j.mayocp.2016.02.028 · DOI · Paper page
  3. Eijsvogels, 2016, Exercise at the Extremes: The Amount of Exercise to Reduce Cardiovascular Events, J Am Coll Cardiol, 67, 316, 10.1016/j.jacc.2015.11.034 · DOI · Paper page
  4. Gong, 2015, Lifestyle interventions for adults with impaired glucose tolerance: a systematic review and meta-analysis of the effects on glycemic control, Intern Med, 54, 303, 10.2169/internalmedicine.54.2745 · DOI
  5. Behrens, 2014, The association between physical activity and gastroesophageal cancer: systematic review and meta-analysis, Eur J Epidemiol, 29, 151, 10.1007/s10654-014-9895-2 · DOI
  6. Wolin, 2011, Physical activity and risk of colon adenoma: a metaanalysis, Br J Cancer, 104, 882, 10.1038/sj.bjc.6606045 · DOI
  7. Yoon, 2018, Effects of resistance exercise training on cognitive function and physical performance in cognitive frailty: a randomized controlled trial, The journal of nutrition, health & aging, 22, 944, 10.1007/s12603-018-1090-9 · DOI · Paper page
  8. Li, 2014, Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies, BMJ Open, 4, e005497, 10.1136/bmjopen-2014-005497 · DOI · Paper page
  9. Vieira AR, Abar L, Vingeliene S et al. Fruits, vegetables and lung cancer risk: a systematic review and meta-analysis. Ann Oncol, 2015. · DOI · Paper page
  10. Wang, 2014, Consumption of fruit, but not vegetables, may reduce risk of gastric cancer: results from a meta-analysis of cohort studies, Eur J Cancer, 50, 1498, 10.1016/j.ejca.2014.02.009 · DOI
  11. Turati, 2015, Fruit and vegetables and cancer risk: a review of southern European studies, Br J Nutr, 113, S102, 10.1017/S0007114515000148 · DOI · Paper page
  12. Loef, 2012, Fruit, vegetables and prevention of cognitive decline or dementia: a systematic review of cohort studies, The journal of nutrition, health & aging, 16, 626, 10.1007/s12603-012-0097-x · DOI
  13. Pronk, 2004, Meeting recommendations for multiple healthy lifestyle factors: prevalence, clustering, and predictors among adolescent, adult, and senior health plan members, American journal of preventive medicine, 27, 25, 10.1016/j.amepre.2004.04.022 · DOI · Paper page
  14. Xu, 2018, Relationship between diet quality, physical activity and health-related quality of life in older adults: Findings from 2007–2014 national health and nutrition examination survey, The journal of nutrition, health & aging, 22, 1072, 10.1007/s12603-018-1050-4 · DOI
  15. Silva, 2015, Association between physical activity level and consumption of fruit and vegetables among adolescents in northeast Brazil, Revista Paulista de Pediatria, 33, 167, 10.1016/j.rpped.2014.09.003 · DOI
  16. Al-Hazzaa, 2014, Association of dietary habits with levels of physical activity and screen time among adolescents living in S audi A rabia, Journal of human nutrition and dietetics, 27, 204, 10.1111/jhn.12147 · DOI
  17. Matthews, 1997, Relationship between leisure-time physical activity and selected dietary variables in the Worcester Area Trial for Counseling in Hyperlipidemia, Medicine & Science in Sports & Exercise, 29, 1199, 10.1097/00005768-199709000-00013 · DOI
  18. Eaton, 1995, Cross-sectional relationship between diet and physical activity in two southeastern New England communities, American Journal of Preventive Medicine, 11, 238, 10.1016/S0749-3797(18)30452-5 · DOI
  19. Brodney, 2001, Nutrient intake of physically fit and unfit men and women, Medicine & Science in Sports & Exercise, 33, 459, 10.1097/00005768-200103000-00020 · DOI
  20. McNaughton, 2012, Understanding determinants of nutrition, physical activity and quality of life among older adults: the Wellbeing, Eating and Exercise for a Long Life (WELL) study, Health and quality of life outcomes, 10, 109, 10.1186/1477-7525-10-109 · DOI
  21. Wendel-Vos, 2003, Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity, J Clin Epidemiol, 56, 1163, 10.1016/S0895-4356(03)00220-8 · DOI · Paper page
  22. Campbell, 2016, The Short QUestionnaire to ASsess Health-enhancing (SQUASH) physical activity in adolescents: a validation using doubly labeled water, Journal of Physical Activity and Health, 13, 154, 10.1123/jpah.2015-0031 · DOI
  23. Wagenmakers, 2008, Reliability and validity of the short questionnaire to assess health-enhancing physical activity (SQUASH) in patients after total hip arthroplasty, BMC Musculoskeletal Disorders, 9, 141, 10.1186/1471-2474-9-141 · DOI
  24. Ainsworth, 2011, Compendium of Physical Activities: a second update of codes and MET values, Med Sci Sports Exerc, 43, 1575, 10.1249/MSS.0b013e31821ece12 · DOI · Paper page
  25. Streppel, 2013, Relative validity of the food frequency questionnaire used to assess dietary intake in the Leiden Longevity Study, Nutr J, 12, 75, 10.1186/1475-2891-12-75 · DOI
  26. Siebelink, 2011, Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults, Br J Nutr, 106, 274, 10.1017/S0007114511000067 · DOI · Paper page
  27. Kromhout, 2016, The 2015 Dutch food-based dietary guidelines, European journal of clinical nutrition, 70, 869, 10.1038/ejcn.2016.52 · DOI · Paper page
  28. Rhee, 2014, Energy adjustment of nutrient intakes is preferable to adjustment using body weight and physical activity in epidemiological analyses, Public health nutrition, 17, 1054, 10.1017/S1368980013001390 · DOI
  29. Sodergren, 2012, Associations between fruit and vegetable intake, leisure-time physical activity, sitting time and self-rated health among older adults: cross-sectional data from the WELL study, BMC Public Health, 12, 551, 10.1186/1471-2458-12-551 · DOI
  30. Dehghan, 2011, Factors associated with fruit and vegetable consumption among adults, J Hum Nutr Diet, 24, 128, 10.1111/j.1365-277X.2010.01142.x · DOI
  31. Johansson, 1999, Healthy dietary habits in relation to social determinants and lifestyle factors, Br J Nutr, 81, 211, 10.1017/S0007114599000409 · DOI · Paper page
  32. Kelly, 2002, The interaction of cigarette smoking and antioxidants. Part I: diet and carotenoids, Altern Med Rev, 7, 370
  33. Giskes, 2010, A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults, Obes Rev, 11, 413, 10.1111/j.1467-789X.2009.00658.x · DOI · Paper page
  34. Irala-Estevez, 2000, A systematic review of socio-economic differences in food habits in Europe: consumption of fruit and vegetables, Eur J Clin Nutr, 54, 706, 10.1038/sj.ejcn.1601080 · DOI · Paper page
  35. Kesse, 2001, Do eating habits differ according to alcohol consumption? Results of a study of the French cohort of the European Prospective Investigation into Cancer and Nutrition (E3N-EPIC), The American journal of clinical nutrition, 74, 322, 10.1093/ajcn/74.3.322 · DOI
  36. Tohill, 2004, What epidemiologic studies tell us about the relationship between fruit and vegetable consumption and body weight, Nutr Rev, 62, 365, 10.1111/j.1753-4887.2004.tb00007.x · DOI
  37. Pem, 2015, Fruit and Vegetable Intake: Benefits and Progress of Nutrition Education Interventions- Narrative Review Article, Iran J Public Health, 44, 1309
  38. Goldberg, 1991, Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording, Eur J Clin Nutr, 45, 569
  39. Tooze, 2012, The accuracy of the Goldberg method for classifying misreporters of energy intake on a food frequency questionnaire and 24-h recalls: comparison with doubly labeled water, European journal of clinical nutrition, 66, 569, 10.1038/ejcn.2011.198 · DOI
  40. Schofield, 1985, Predicting basal metabolic rate, new standards and review of previous work, Hum Nutr Clin Nutr, 39, 5
  41. Black, 2000, Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations, Int J Obes Relat Metab Disord, 24, 1119, 10.1038/sj.ijo.0801376 · DOI · Paper page
  42. Black, 2000, The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity, Eur J Clin Nutr, 54, 395, 10.1038/sj.ejcn.1600971 · DOI · Paper page
  43. Al-Hazzaa, 2014, Association of dietary habits with levels of physical activity and screen time among adolescents living in Saudi Arabia, J Hum Nutr Diet, 27, 204, 10.1111/jhn.12147 · DOI
  44. Pate, 1996, Associations between physical activity and other health behaviors in a representative sample of US adolescents, Am J Public Health, 86, 1577, 10.2105/AJPH.86.11.1577 · DOI · Paper page
  45. Manz, 2019, Associations between physical activity and food intake among children and adolescents: Results of KiGGS Wave 2, Nutrients, 11, 1060, 10.3390/nu11051060 · DOI
  46. Koehler, 2019, Differential relationship between physical activity and intake of added sugar and nutrient-dense foods: A cross-sectional analysis, Appetite, 140, 91, 10.1016/j.appet.2019.05.010 · DOI
  47. Jezewska-Zychowicz, 2018, The associations between dietary patterns and sedentary behaviors in Polish adults (LifeStyle study), Nutrients, 10, 1004, 10.3390/nu10081004 · DOI
  48. Gillman, 2001, Relationships of physical activity with dietary behaviors among adults, Preventive medicine, 2, 295, 10.1006/pmed.2000.0812 · DOI
  49. Charreire, 2011, Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged French adults, British journal of nutrition, 105, 902, 10.1017/S000711451000440X · DOI
  50. Štefan, 2018, Frequency of Dietary Intake and Physical Activity in Older Adults: A Cross-Sectional Study, Nutrients, 10, 1960, 10.3390/nu10121960 · DOI
  51. Schuit, 2002, Clustering of lifestyle risk factors in a general adult population, Preventive medicine, 35, 219, 10.1006/pmed.2002.1064 · DOI · Paper page
  52. Blakely, 2004, Moderate physical activity and its relationship to select measures of a healthy diet, The Journal of Rural Health, 20, 160, 10.1111/j.1748-0361.2004.tb00023.x · DOI
  53. Tucker, 2002, Exercise as a gateway behavior for healthful eating among older adults: an exploratory study, Journal of nutrition education and behavior, 34, S14, 10.1016/S1499-4046(06)60306-0 · DOI
  54. Kremers, 2010, Theory and practice in the study of influences on energy balance-related behaviors, Patient education and counseling, 79, 291, 10.1016/j.pec.2010.03.002 · DOI
  55. Sorensen, 2007, The influence of social context on changes in fruit and vegetable consumption: results of the healthy directions studies, American journal of public health, 97, 1216, 10.2105/AJPH.2006.088120 · DOI
  56. Ball, 2006, Understanding environmental influences on nutrition and physical activity behaviors: where should we look and what should we count?, International Journal of Behavioral Nutrition and Physical Activity, 3, 33, 10.1186/1479-5868-3-33 · DOI
  57. Joseph, 2011, The neurocognitive connection between physical activity and eating behaviour, obesity reviews, 12, 800
  58. French, 2008, The clustering of health risk behaviours in a Western Australian adult population, Health promotion journal of Australia, 19, 203, 10.1071/HE08203 · DOI
  59. Prochaska, 2008, Multiple health behavior change research: an introduction and overview, Preventive medicine, 46, 181, 10.1016/j.ypmed.2008.02.001 · DOI · Paper page
  60. Poslusna, 2009, Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice, British Journal of Nutrition, 101, S73, 10.1017/S0007114509990602 · DOI · Paper page
  61. Rasmussen, 2007, Characteristics of misreporters of dietary intake and physical activity, Public health nutrition, 10, 230, 10.1017/S136898000724666X · DOI
  62. Heimerhorst, 2012, A systematic review of reliability and objective criterion-related validity of physical activity questionnaires, International Journal of Behavioral Nutrition and Physical Activity, 9, 103, 10.1186/1479-5868-9-103 · DOI · Paper page
  63. Tooze, 2012, The accuracy of the Goldberg method for classifying misreporters of energy intake on a food frequency questionnaire and 24-h recalls: comparison with doubly labeled water, European journal of clinical nutrition, 66, 569, 10.1038/ejcn.2011.198 · DOI
  64. Van Assema, 2002, A short dutch questionnaire to measure fruit and vegetable intake: relative validity among adults and adolescents, Nutrition and Health, 16, 85, 10.1177/026010600201600203 · DOI

Cited by

See all 23

Metadata

Authors
van der Avoort, C. M. T., ten Haaf, D. S. M., de Vries, J. H. M., Verdijk, L. B., van Loon, L. J. C., Eijsvogels, T. M. H., & Hopman, M. T. E.
Venue
The Journal of nutrition, health and aging
Publisher
Elsevier BV
Published
2021-02
Volume
25
Issue
2
Pages
230-241
ISSN
1279-7707
DOI
10.1007/s12603-020-1520-3
Cited by
23
References
3
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Higher Levels of Physical Activity are Associated with Greater Fruit and Vegetable Intake in Older Adults. https://app.cochat.ai/papers/10.1007/s12603-020-1520-3
The paper
van der Avoort, C. M. T., ten Haaf, D. S. M., de Vries, J. H. M., Verdijk, L. B., van Loon, L. J. C., Eijsvogels, T. M. H., & Hopman, M. T. E. (2021). Higher Levels of Physical Activity are Associated with Greater Fruit and Vegetable Intake in Older Adults. The Journal of nutrition, health and aging. https://doi.org/10.1007/s12603-020-1520-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.