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Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake
BACKGROUND: Decline in mental health and cognitive status starts to show its sign during middle-age and is affected by dietary factors, namely the polyphenols intake. Polyphenols have received attention in improving health issues related to aging, including decline in mental health and cognitive. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Penerbit Universiti Sains Malaysia
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613464/ https://www.ncbi.nlm.nih.gov/pubmed/31303852 http://dx.doi.org/10.21315/mjms2019.26.3.6 |
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author | Rosli, Hanisah Shahar, Suzana Din, Normah Che Haron, Hasnah Rajab, Nor Fadilah |
author_facet | Rosli, Hanisah Shahar, Suzana Din, Normah Che Haron, Hasnah Rajab, Nor Fadilah |
author_sort | Rosli, Hanisah |
collection | PubMed |
description | BACKGROUND: Decline in mental health and cognitive status starts to show its sign during middle-age and is affected by dietary factors, namely the polyphenols intake. Polyphenols have received attention in improving health issues related to aging, including decline in mental health and cognitive. The aim of this study is to determine the prevalence of poor mental health and cognitive status among middle-aged adults and its predictors in relation to polyphenols intake. METHODS: Subjects’ food intakes were calculated by using dietary history questionnaire and food frequency questionnaire for polyphenols. The subjects’ mental health and cognitive status were measured by general health questionnaire-28 (GHQ-28) and Rey’s auditory verbal learning test (RAVLT). RESULTS: More than 40% of middle-aged adults were identified as having signs of poor mental health. A total of 67.9% of the subjects had poor cognitive status according to RAVLT immediate recall. Hierarchical binary logistic regression indicated that fat intake was associated with somatic symptoms for both men [adjusted odds ratio (AOR) = 1.04; P < 0.05] and women (AOR = 1.06; P < 0.05). Intake of lignan (AOR = 1.071; P < 0.05) was associated with better RAVLT immediate recall among women. Additionally, high cholesterol (AOR = 3.14; P < 0.05) was associated with poor score of RAVLT delayed recall for women. CONCLUSIONS: Early detection of poor mental health and cognitive is crucial to prevent Alzheimer’s disease in old age. |
format | Online Article Text |
id | pubmed-6613464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Penerbit Universiti Sains Malaysia |
record_format | MEDLINE/PubMed |
spelling | pubmed-66134642019-07-12 Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake Rosli, Hanisah Shahar, Suzana Din, Normah Che Haron, Hasnah Rajab, Nor Fadilah Malays J Med Sci Original Article BACKGROUND: Decline in mental health and cognitive status starts to show its sign during middle-age and is affected by dietary factors, namely the polyphenols intake. Polyphenols have received attention in improving health issues related to aging, including decline in mental health and cognitive. The aim of this study is to determine the prevalence of poor mental health and cognitive status among middle-aged adults and its predictors in relation to polyphenols intake. METHODS: Subjects’ food intakes were calculated by using dietary history questionnaire and food frequency questionnaire for polyphenols. The subjects’ mental health and cognitive status were measured by general health questionnaire-28 (GHQ-28) and Rey’s auditory verbal learning test (RAVLT). RESULTS: More than 40% of middle-aged adults were identified as having signs of poor mental health. A total of 67.9% of the subjects had poor cognitive status according to RAVLT immediate recall. Hierarchical binary logistic regression indicated that fat intake was associated with somatic symptoms for both men [adjusted odds ratio (AOR) = 1.04; P < 0.05] and women (AOR = 1.06; P < 0.05). Intake of lignan (AOR = 1.071; P < 0.05) was associated with better RAVLT immediate recall among women. Additionally, high cholesterol (AOR = 3.14; P < 0.05) was associated with poor score of RAVLT delayed recall for women. CONCLUSIONS: Early detection of poor mental health and cognitive is crucial to prevent Alzheimer’s disease in old age. Penerbit Universiti Sains Malaysia 2019-05 2019-06-28 /pmc/articles/PMC6613464/ /pubmed/31303852 http://dx.doi.org/10.21315/mjms2019.26.3.6 Text en © Penerbit Universiti Sains Malaysia, 2019 This work is licensed under the terms of the Creative Commons Attribution (CC BY) (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Rosli, Hanisah Shahar, Suzana Din, Normah Che Haron, Hasnah Rajab, Nor Fadilah Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title | Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title_full | Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title_fullStr | Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title_full_unstemmed | Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title_short | Prevalence of Poor Mental Health and Cognitive Status among Middle-Aged Adults and Its Predictors in Relation to Polyphenols Intake |
title_sort | prevalence of poor mental health and cognitive status among middle-aged adults and its predictors in relation to polyphenols intake |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6613464/ https://www.ncbi.nlm.nih.gov/pubmed/31303852 http://dx.doi.org/10.21315/mjms2019.26.3.6 |
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