by Yoona Kim, Jennifer B. Keogh and Peter M. Clifton
Abstract:
Aim We aimed to determine if nut consumption decreases mortality and/or the risk of cardiometabolic diseases based on updated meta-analyses of epidemiological and intervention studies. METHODS: An updated electronic search was conducted in PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and the Cochrane Library databases for original meta-analyses to investigate the effects of nut consumption on cardiometabolic disease in humans. RESULTS: Seven new meta-analyses were included in this updated review. Findings similar to our previous review were observed, showing that nut consumption significantly decreased cardiovascular disease (CVD) mortality (-19% to -25%; n = 4), coronary heart disease (CHD) mortality (-24% to -30%; n = 3), stroke mortality (-17% to -18%; n = 3), CVD incidence (-15% to -19 %; n = 4), CHD [or coronary artery disease (CAD)] incidence (-17% to -34%; n = 8), and stroke incidence (-10% to -11%; n = 6) comparing high with low categories of nut consumption. Fasting glucose levels (0.08 to 0.15 mmol/L; n = 6), total cholesterol (TC; 0.021 to 0.30 mmol/L; n = 10), and low-density lipoprotein cholesterol (LDL-C; 0.017 to 0.26 mmol/L; n = 10) were significantly decreased with nut consumption compared with control diets. Body weight and blood pressure were not significantly affected by nut consumption. CONCLUSION: Nut consumption appears to exert a protective effect on cardiometabolic disease, possibly through improved concentrations of fasting glucose, total cholesterol, and LDL-C.
Reference:
Does Nut Consumption Reduce Mortality and/or Risk of Cardiometabolic Disease? An Updated Review Based on Meta-Analyses (Yoona Kim, Jennifer B. Keogh and Peter M. Clifton), In International Journal of Environmental Research and Public Health, volume 16, 2019.
Bibtex Entry:
@article{kim_does_2019,
abstract = {Aim We aimed to determine if nut consumption decreases mortality and/or the risk of cardiometabolic diseases based on updated meta-analyses of epidemiological and intervention studies.
METHODS: An updated electronic search was conducted in PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and the Cochrane Library databases for original meta-analyses to investigate the effects of nut consumption on cardiometabolic disease in humans.
RESULTS: Seven new meta-analyses were included in this updated review. Findings similar to our previous review were observed, showing that nut consumption significantly decreased cardiovascular disease (CVD) mortality (-19\% to -25\%; n = 4), coronary heart disease (CHD) mortality (-24\% to -30\%; n = 3), stroke mortality (-17\% to -18\%; n = 3), CVD incidence (-15\% to -19 \%; n = 4), CHD [or coronary artery disease (CAD)] incidence (-17\% to -34\%; n = 8), and stroke incidence (-10\% to -11\%; n = 6) comparing high with low categories of nut consumption. Fasting glucose levels (0.08 to 0.15 mmol/L; n = 6), total cholesterol (TC; 0.021 to 0.30 mmol/L; n = 10), and low-density lipoprotein cholesterol (LDL-C; 0.017 to 0.26 mmol/L; n = 10) were significantly decreased with nut consumption compared with control diets. Body weight and blood pressure were not significantly affected by nut consumption.
CONCLUSION: Nut consumption appears to exert a protective effect on cardiometabolic disease, possibly through improved concentrations of fasting glucose, total cholesterol, and LDL-C.},
author = {Kim, Yoona and Keogh, Jennifer B. and Clifton, Peter M.},
date-modified = {2023-06-19 19:38:26 +0100},
doi = {10.3390/ijerph16244957},
issn = {1660-4601},
journal = {International Journal of Environmental Research and Public Health},
keywords = {CVD, Cholesterol, Diet, Fasting, Nuts},
language = {eng},
month = dec,
number = {24},
pages = {E4957},
pmcid = {PMC6950421},
pmid = {31817639},
shorttitle = {Does {Nut} {Consumption} {Reduce} {Mortality} and/or {Risk} of {Cardiometabolic} {Disease}?},
title = {Does {Nut} {Consumption} {Reduce} {Mortality} and/or {Risk} of {Cardiometabolic} {Disease}? {An} {Updated} {Review} {Based} on {Meta}-{Analyses}},
volume = {16},
year = {2019},
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