Iron Status Clinical Trial
Official title:
The Relationship Between Iron Status, Cognitive Performance, Subjective Mood and Fatigue in Women of Reproductive Age
NCT number | NCT04257669 |
Other study ID # | 9BM1 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | May 19, 2017 |
Est. completion date | April 3, 2019 |
Verified date | March 2019 |
Source | Northumbria University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Iron deficiency is the most prevalent nutritional deficiency worldwide with one in four estimated to be affected by iron deficiency anaemia. Women of reproductive age are at greatest risk for iron deficiency and anaemia due to iron losses during menstruation and childbirth as well as the increased need for iron throughout pregnancy. However, iron deficiency without anaemia is at least twice as common as iron deficiency anaemia with females aged 11-49 at the biggest risk of all. Despite this, it is commonly left undiagnosed. Those who are iron deficient non-anaemic can still suffer from the same common consequences of iron deficiency anaemia; these include unexplained fatigue, mood changes and decreased cognitive performance. Previous studies have found a significant relationship between iron status and cognitive performance in anaemic women. However, studies assessing cognition, mood and fatigue in women of varying iron status including those who are iron deficient nonanaemic are lacking. The most recent observational study of this kind found that better iron status was associated with better sustained attention but worse working memory. However, iron deficient anaemic females were not included in this observation. This study will extend upon this in order to determine any differences between non-anaemic iron deficiency and iron deficiency anaemia. The aims of this study are to improve knowledge concerning women's health and to determine whether there is a relationship between iron status, cognitive performance, subjective mood and fatigue in women of reproductive age (18-49 years).
Status | Completed |
Enrollment | 379 |
Est. completion date | April 3, 2019 |
Est. primary completion date | April 3, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 49 Years |
Eligibility |
Inclusion Criteria: - Healthy - Female - Aged 18-49 (inclusive) - Have a BMI of between 18.5-40 - Have an English bank account (required for payment) Exclusion Criteria: - Aged under 18 or over 49 - BMI lower than 18.5 or higher than 40 - Pre-existing medical condition/illness with some exceptions - please check with researcher - Blood disorders (excluding anaemia) or any known active infections - Current or past breast cancer diagnosis and/or mastectomy - Smoking or use of any nicotine replacement products e.g. vaping, gum, patches - Pregnant, trying to get pregnant or breast feeding - Currently taking any prescription medication with some exceptions - please check with researcher - Regular use of dietary/herbal supplements within the last month (defined as more than 3 consecutive days or 4 days in total) - Use of iron supplements within the past 4 months - Have donated more than 300ml of blood in the past 3 months - History of significant head trauma or suffer from frequent migraines that require medication (more than or equal to one per month) - Learning difficulties, dyslexia, or colour blindness - Visual impairment that cannot be corrected with glasses or contact lenses - Currently taking part in any other clinical or nutritional intervention studies or have in the past 4 weeks - Any health condition that would prevent fulfillment of the study requirements |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Brain, Performance & Nutrition Research Centre, Northumbria University | Newcastle Upon Tyne |
Lead Sponsor | Collaborator |
---|---|
Northumbria University | Bayer |
United Kingdom,
Blanton CA, Green MW, Kretsch MJ. Body iron is associated with cognitive executive planning function in college women. Br J Nutr. 2013 Mar 14;109(5):906-13. doi: 10.1017/S0007114512002620. Epub 2012 Jun 7. — View Citation
Fordy J, Benton D. Does low iron status influence psychological functioning? Journal of Human Nutrition and Dietetics 115: 167-183, 1994.
Murray-Kolb LE, Beard JL. Iron treatment normalizes cognitive functioning in young women. Am J Clin Nutr. 2007 Mar;85(3):778-87. — View Citation
Scott SP, Murray-Kolb LE. Iron Status Is Associated with Performance on Executive Functioning Tasks in Nonanemic Young Women. J Nutr. 2016 Jan;146(1):30-7. doi: 10.3945/jn.115.223586. Epub 2015 Dec 9. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Speed of attention | An overall score for Speed of attention will be derived by calculating the average score from 3 separate standardised task outcomes (ZChoice reaction time correct reaction time + ZRapid visual information processing correct reaction time + ZDigit vigilance correct reaction time) /3 | Baseline measure | |
Primary | Subjective fatigue | Subjective fatigue will be derived from the total score of the Piper Fatigue Scale. Scores range from 1 to 10. Higher scores are indicative of greater fatigue. | Baseline measure | |
Secondary | Episodic memory | An overall score for episodic memory will be derived by calculating the average score from 4 separate standardised task outcomes (Zimmediate word recall accuracy + Zdelayed word recall accuracy + Zword recognition accuracy + Zpicture recognition accuracy)/4 | Baseline measure | |
Secondary | Speed of memory | An overall score for speed of memory will be derived by calculating the average score from 2 separate standardised task outcomes (Zpicture recognition correct reaction time + Zword recognition correct reaction time)/2 | Baseline measure | |
Secondary | Accuracy of attention | An overall score for accuracy of attention will be derived by calculating the average score from 3 separate standardised task outcomes (ZChoice reaction time accuracy + ZZRapid visual information processing accuracy + ZZDigit Vigilance accuracy)/3 | Baseline measure | |
Secondary | Executive function | An overall score for executive function will be derived by calculating the average score from 5 separate standardised task outcomes (Znumeric working memory accuracy + ZZserial 3 subtractions accuracy + ZZserial 7 subtractions accuracy + ZStroop accuracy - ZPeg and Ball errors)/5 | Baseline measure | |
Secondary | Speed of executive function | An overall score for speed of executive function will be derived by calculating the average score from 3 separate standardised task outcomes (Znumeric working memory correct reaction time + Zstroop correct reaction time + ZPeg and Ball overall reaction time)/3 | Baseline measure | |
Secondary | Computerised Location learning Task | An overall score is calculated utilising the total displacement over the 5 learning trials to create a total learning index score. Scores range from 0 to 1. | Baseline measure | |
Secondary | Subjective overall mood disturbance | Subjective mood disturbance is derived from the overall score of the Profile of Mood States questionnaire. Higher scores indicate a greater degree of overall mood disturbance. | Baseline measure | |
Secondary | Subjective sleep quality | Subjective sleep quality is derived from the overall score of the Sleep Condition Indicator. Total scores ranged from 0 to 32. Higher scores are indicative of greater subjective sleep quality. | Baseline measure | |
Secondary | Subjective stress | Subjective stress is derived from the overall score of the Perceived Stress Scale. Higher scores are indicative of greater subjective stress | Baseline measure | |
Secondary | Health Outcomes | Subjective health outcomes are derived from the SF-12. Scores range from 0 to 100. Higher scores are indicative of better self-reported health. | Baseline measure | |
Secondary | Subjective alertness | Subjective alertness will be derived from an Alertness visual analogue scale presented following cognitive task performance. Scores range from 0 to 100. Higher scores are indicative of greater feelings of alertness. | Baseline measure | |
Secondary | Subjective mental fatigue | Subjective mental fatigue will be derived from a Mental Fatigue visual analogue scale presented following cognitive task performance. Scores range from 0 to 100. Higher scores are indicative of greater feelings of mental fatigue. | Baseline measure | |
Secondary | Global Accuracy | An overall score for global accuracy will be derived by calculating the average score from 13 separate standardised outcomes (ZChoice reaction time accuracy + ZZRapid visual information processing accuracy + ZNumeric working memory accuracy + ZZDigit Vigilance accuracy + ZStroop accuracy - ZPeg and Ball Errors + ZZSerial 3 subtractions accuracy + ZZSSerial 7 subtractions accuracy + ZPicture recognition accuracy + ZWord recognition accuracy + ZImmediate word recall accuracy + ZDelayed word recall accuracy + ZZComputerised location learning accuracy)/13 | Baseline measure | |
Secondary | Global Speed | An overall score for global speed will be derived by calculating the average score from 8 separate standardised outcomes (ZChoice reaction time correct reaction time + ZNumeric working memory correct reaction time + ZDigit vigilance correct reaction time + ZZPeg and Ball overall reaction time + ZStroop correct reaction time + ZPicture recognition correct reaction time + ZWord recognition correct reaction time + ZRapid visual information correct reaction time) /8 | Baseline measure |
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