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Saul A, Taylor BV, Blizzard L, Simpson-Yap S, Oddy WH, Shivappa N, Hebert JR, Black LJ, Ponsonby AL, Broadley SA, Lechner-Scott J, van der Mei I. A pro-inflammatory diet is associated with long-term depression and anxiety levels but not fatigue in people with multiple sclerosis. Mult Scler Relat Disord 2024; 84:105468. [PMID: 38359692 DOI: 10.1016/j.msard.2024.105468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 10/24/2023] [Accepted: 01/21/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Multiple sclerosis is characterised by acute and chronic inflammation in the CNS. Diet may influence inflammation, and therefore MS outcomes. OBJECTIVE To determine whether the Dietary Inflammatory Index (DII®)) is associated with depression, anxiety, and fatigue in a prospective cohort of people with MS. METHODS People with a first clinical diagnosis of demyelination were followed over 10 years (n=223). DII and energy-adjusted DII (E-DIITM) scores were calculated from the dietary intake in the preceding 12 months measured by food frequency questionnaire. Depression and anxiety were assessed by the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, respectively), and fatigue by the Fatigue Severity Scale. RESULTS A higher E-DII score was associated with higher levels of depression and anxiety five years later (e.g., highest vs lowest E-DII quartile, HADS-D score: β=2.23, 95%CI=0.98,3.48, p<0.001; HADS-A score: β=1.90, 95%CI=0.59,3.21, p<0.001). A cumulative E-DII score was associated with depression (p<0.01) and anxiety (p=0.05) at the 10-year review. No associations were seen for fatigue. CONCLUSION Our findings suggest that, in people with MS, a more pro-inflammatory diet may long-term adverse impact on depression and anxiety, but not fatigue.
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Affiliation(s)
- A Saul
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - B V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - S Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Melbourne School of Population & Global Health, The University of Melbourne, Melbourne, Australia
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - N Shivappa
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina, USA; Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - J R Hebert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina, USA; Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - L J Black
- Institute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia
| | - A L Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, VIC, Australia; The Florey Institute of Neuroscience & Mental Health, Parkville, VIC, Australia
| | - S A Broadley
- School of Medicine, Griffith University, Gold Coast, Australia
| | - J Lechner-Scott
- Department of Neurology, John Hunter Hospital, Newcastle, New South Wales, Australia; Faculty of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - I van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
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Guirette M, Lan J, McKeown NM, Brown MR, Chen H, de Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, de Mutsert R, Rosendaal FR, Wang CA, Beilin LJ, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, van Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker LF, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. Hypertension 2024; 81:552-560. [PMID: 38226488 PMCID: PMC10922535 DOI: 10.1161/hypertensionaha.123.22334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/28/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP. METHODS We analyzed up to 9 420 585 single nucleotide polymorphisms in up to 127 282 individuals of 6 population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (n=35 660) and UK Biobank (n=91 622) and performed European population-specific and cross-population meta-analyses. RESULTS We identified 3 loci in European-specific analyses and an additional 4 loci in cross-population analyses at Pinteraction<5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score (Pinteraction=4e-8; P for heterogeneity, 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (Pinteraction=9.4e-7) and 0.20±0.06 mm Hg (Pinteraction=0.001) in Cohorts for Heart and Aging Research in Genomic Epidemiology and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P=4e-273) and cis-DNA methylation quantitative trait loci variants (P=1e-300). Although the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by single nucleotide polymorphisms potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. CONCLUSIONS We demonstrated gene-DASH diet score interaction effects on systolic BP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Nicola M McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, MA (N.M.M.)
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Hyunju Kim
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (C.M.R.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Traci M Bartz
- Departments of Biostatistics and Medicine (T.M.B.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Amanda M Fretts
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-University of California, Los Angeles, Torrance, CA (X.G.)
| | - Rozenn N Lemaitre
- Department of Medicine (R.N.L.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, MA (C.-T.L.)
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics (R.N.), Leiden University Medical Center, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Lawrence J Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (W.H.O.)
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- School of Population Health, Curtin University, Perth, Western Australia, Australia (C.W.)
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University (R.M.v.D.)
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research (J.L.)
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore (E.S.T.)
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (N.F.)
| | - TianXiao Huan
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Germany (T.W.W.)
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD (A.R.B.)
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California (W.J.G.)
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands (L.H.)
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD (T.T.)
| | - Jeroen van Rooij
- Department of Internal Medicine (J.v.R.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Trudy Voortman
- Department of Epidemiology (T.V.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing (H.C.)
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R.)
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
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Nguyen HH, Do DV, To KG, Doan HTN, Oddy WH. The Effect of Dietary Patterns on Reducing Falls and Falls Risk in Adults: A Systematic Review. Curr Nutr Rep 2024; 13:15-22. [PMID: 38194079 DOI: 10.1007/s13668-023-00516-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2023] [Indexed: 01/10/2024]
Abstract
PURPOSE OF REVIEW Falls are a major global public health issue and the second cause of unintentional injury death. Nutrition may be an important factor for falls prevention in adults, but most previous studies examined the associations between single nutrients and falls. The use of dietary patterns is an alternative method to measure whole diet and its relationship with health outcomes. Therefore, we aimed to systematically review all evidence relating to dietary pattern impacts on falls and/or falls risk in adults. RECENT FINDINGS This systematic review was registered on the PROSPERO (CRD42020171987). Four databases (Medline, Embase, Cochrane Library, CINAHL Complete) were used for searching potential articles on 18th December 2021 and updated the search on 10th July 2023. We included any quantitative study reporting associations between dietary patterns and falls and/or falls risk in healthy adults ≥ 18 years and publishing in English as full text and peer-reviewed. Of 2866 potential articles, five studies (two cross-sectional, three cohorts) were included for the evidence synthesis. The risk of bias was low in cohort studies. Dietary patterns were derived using both "a priori" or "empirical" approaches, and self-report questionnaires used for falls/falls risk in most studies. Associations between dietary patterns and falls/falls risk were inconsistent results by sex and study design. The effect of dietary patterns on reducing falls/falls risk is not clear in the included studies, so this association needs to be confirmed in future research.
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Affiliation(s)
- Hoa H Nguyen
- University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam.
- VISA Faculty Fellow, University of North Carolina, Chapel Hill, USA.
- Australia Awards Fellowships, University of Sydney, Australia sponsored by the DFAT, Sydney, Australia.
- The Post-doc Fellowship, University of Emory, USA sponsored by the NIH, Atlanta, USA.
| | - Dung V Do
- University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam
| | - Kien G To
- University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam
| | - Han T N Doan
- University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000 TAS, Australia
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Ma C, Searle D, Tian J, Cervo MM, Scott D, Hebert JR, Oddy WH, Cicuttini F, Jones G, Pan F. Dietary Inflammatory Index and Magnetic Resonance Imaging-Detected Knee Structural Change and Pain: A 10.7-Year Follow-up Study. Arthritis Care Res (Hoboken) 2024. [PMID: 38282547 DOI: 10.1002/acr.25307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
Abstract
OBJECTIVE To determine whether the dietary inflammatory index (DII) scores were associated with knee structural changes and pain over a 10.7-year follow-up. METHODS This study used data from a prospective population-based cohort study (mean age 63 years, 51% female) in which 1,099, 875, 768, and 566 participants completed assessments at baseline, 2.6, 5.1, and 10.7 years, respectively. T1-weighted and T2-weighted magnetic resonance imaging was performed to measure cartilage volume (CV) and bone marrow lesions (BMLs) at baseline and 10.7 years. The Western Ontario and McMaster Universities Osteoarthritis Index pain questionnaire was used to measure knee pain at each visit. Pain trajectories ("minimal pain," "mild pain," and "moderate pain") were previously identified. Baseline energy-adjusted DII (E-DII) scores were calculated. Linear, log-binomial regression, linear mixed-effects modeling, and multi-nominal logistic regression were used for analyses. RESULTS The mean ± SD E-DII score at baseline was -0.48 ± 1.39. In multivariable analyses, higher E-DII scores were not associated with tibial CV loss or BML size increase except for medial tibial BML size increase. Higher E-DII scores were associated with a higher pain score (β = 0.21; 95% confidence interval [CI] 0.004-0.43) and an increased risk of belonging to the "moderate pain" compared to the "minimal pain" trajectory group (relative risk ratio 1.19; 95% CI 1.02-1.39). CONCLUSION A proinflammatory diet, as indicated by a higher DII score, may be associated with a greater pain score and higher risk of more severe pain trajectory over 10 years. However, inconsistent findings related to structural changes suggest a discordance between the potential impact of diet on structural damage and pain in knee OA.
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Affiliation(s)
- Canchen Ma
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Daniel Searle
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Jing Tian
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Mavil May Cervo
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - James R Hebert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Flavia Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University Medical School, Melbourne, Australia
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Feng Pan
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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5
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Guirette M, Lan J, McKeown N, Brown MR, Chen H, DE Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, DE Mutsert R, Rosendaal FR, Wang CA, Beilin L, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, VAN Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker L, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. medRxiv 2023:2023.11.10.23298402. [PMID: 37986948 PMCID: PMC10659476 DOI: 10.1101/2023.11.10.23298402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Objective We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP). Methods We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses. Results We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P = 4e-273) and cis-DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. Conclusion We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Nicola McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul S DE Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hyunju Kim
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Amanda M Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Renée DE Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia Saw Swee Hock, School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Jin Fang Chai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Clare Whitton
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Rob M VAN Dam
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - E Shyong Tai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xueling Sim
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Tianxiao Huan
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg; Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California; CA, USA
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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Saul A, Taylor BV, Blizzard L, Simpson-Yap S, Oddy WH, Probst YC, Black LJ, Ponsonby AL, Broadley SA, Lechner-Scott J, van der Mei I. Higher dietary quality is prospectively associated with lower MRI FLAIR lesion volume, but not with hazard of relapse, change in disability or black hole volume in people with Multiple Sclerosis. Mult Scler Relat Disord 2023; 78:104925. [PMID: 37542923 DOI: 10.1016/j.msard.2023.104925] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 07/24/2023] [Accepted: 07/28/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND The influence of diet quality on multiple sclerosis (MS) progression or inflammatory activity is not well understood. METHODS Study participants with MS from the AusLong cohort, were followed annually (10 years, n = 223 post-onset). At baseline, 5 and 10-year reviews, indices of dietary quality - the Australian Recommended Food Score (ARFS) and Diet Quality Tracker (DQT) - were calculated from self-reported dietary intake data of the preceding 12 months (Food Frequency Questionnaire, Dietary Questionnaire for Epidemiological Studies v2). Associations were examined between measures of dietary quality with measures of MS progression and inflammatory activity hazard of relapse, annualised disability progression (Expanded Disability Status Scale, EDSS) and Magnetic Resonance Imaging (MRI) outcomes. MRI outcomes included fluid-attenuated inversion recovery (FLAIR, T2 MRI) lesion volume and black hole volume (T1 MRI) in the juxtacortical, periventricular, and infratentorial regions of the brain, as well as total calculated from the sum of the three regions. RESULTS A higher diet quality (at least with the ARFS) was associated with lower FLAIR lesion volume in the periventricular region only (highest vs lowest quartile: β=-1.89,95%CI=-3.64, -0.13, p = 0.04, periventricular FLAIR region median (IQR) for 5-year review: 4.41 (6.06) and 10-year review: 4.68 (7.27)). Associations with black hole lesion volume, hazard of relapse, and annualised EDSS progression, lacked in significance and/or dose-dependency. CONCLUSION We found evidence that diet quality may have a role in modulating one aspect of MS inflammatory activity (periventricular MRI FLAIR lesion volume), but not other MRI and clinical outcome measures.
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Affiliation(s)
- A Saul
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - B V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - S Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Melbourne School of Population & Global Health, The University of Melbourne, Melbourne, Australia
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Y C Probst
- Illawarra Health and Medical Research Institute, Wollongong, Australia; School of Medicine, University of Wollongong, Wollongong, Australia
| | - L J Black
- Curtin School of Population Health, Curtin University, Perth, Australia
| | - A L Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, VIC, Australia; The Florey Institute of Neuroscience & Mental Health, Parkville, VIC, Australia
| | - S A Broadley
- School of Medicine, Griffith University, Gold Coast, Australia
| | - J Lechner-Scott
- Department of Neurology, John Hunter Hospital, Newcastle, New South Wales, Australia; Faculty of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - I van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
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7
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Saul AM, Taylor BV, Blizzard L, Simpson-Yap S, Oddy WH, Shivappa N, Hébert JR, Black LJ, Ponsonby AL, Broadley SA, Lechner-Scott J, van der Mei I. A pro-inflammatory diet in people with multiple sclerosis is associated with an increased rate of relapse and increased FLAIR lesion volume on MRI in early multiple sclerosis: A prospective cohort study. Mult Scler 2023:13524585231167739. [PMID: 37148166 DOI: 10.1177/13524585231167739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
BACKGROUND A pro-inflammatory diet has been posited to induce chronic inflammation within the central nervous system (CNS), and multiple sclerosis (MS) is an inflammatory disease of the CNS. OBJECTIVE We examined whether Dietary Inflammatory Index (DII®)) scores are associated with measures of MS progression and inflammatory activity. METHODS A cohort with a first clinical diagnosis of CNS demyelination was followed annually (10 years, n = 223). At baseline, 5- and 10-year reviews, DII and energy-adjusted DII (E-DIITM) scores were calculated (food frequency questionnaire) and assessed as predictors of relapses, annualised change in disability (Expanded Disability Status Scale) and two magnetic resonance imaging measures; fluid-attenuated inversion recovery (FLAIR) lesion volume and black hole lesion volume. RESULTS A more pro-inflammatory diet was associated with a higher relapse risk (highest vs. lowest E-DII quartile: hazard ratio = 2.24, 95% confidence interval (CI) = -1.16, 4.33, p = 0.02). When we limited analyses to those assessed on the same manufacturer of scanner and those with a first demyelinating event at study entry (to reduce error and disease heterogeneity), an association between E-DII score and FLAIR lesion volume was evident (β = 0.38, 95% CI = 0.04, 0.72, p = 0.03). CONCLUSION There is a longitudinal association between a higher DII and a worsening in relapse rate and periventricular FLAIR lesion volume in people with MS.
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Affiliation(s)
- Alice M Saul
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Bruce V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Steve Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia/Melbourne School of Population & Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Nittin Shivappa
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA/Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - James R Hébert
- Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA/Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Lucinda J Black
- Curtin School of Population Health, Curtin University, Perth, WA, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, The University of Melbourne, Melbourne, VIC, Australia/The Florey Institute of Neuroscience & Mental Health, Parkville, VIC, Australia
| | - Simon A Broadley
- School of Medicine, Griffith University, Gold Coast, QLD, Australia
| | - Jeanette Lechner-Scott
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia/Faculty of Medicine and Public Health, Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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8
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Wan F, Pan F, Ayonrinde O, Adams LA, Mori TA, Beilin LJ, O'Sullivan TA, Olynyk JK, Oddy WH. Prospective dietary polyunsaturated fatty acid intake is associated with trajectories of fatty liver disease: an 8 year follow-up study from adolescence to young adulthood. Eur J Nutr 2022; 61:3987-4000. [PMID: 35780424 PMCID: PMC9596520 DOI: 10.1007/s00394-022-02934-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 06/07/2022] [Indexed: 11/29/2022]
Abstract
Background and aim Dietary fat intake has long been associated with fatty liver. Our study aimed to determine the effect of dietary fats on longitudinal fatty liver index (FLI) trajectories from adolescence to young adulthood.
Methods Nine hundred eighty-five participants in the Raine Study, Perth, Western Australia, Australia, had cross-sectional assessments at ages 14, 17, 20 and 22 years, during which anthropometric measurements and blood tests were obtained. FLI trajectories were derived from the longitudinal FLI results. Dietary fat intake was measured with a semi-quantitative food frequency questionnaire at 14 years and log multinominal regression analyses were used to estimate relative risks.
Results Three FLI trajectories were identified and labelled as stable-low (79.1%, N = 782), low-to-high (13.9%, N = 132), and stable-high (7%, N = 71). The low-to-high group associated with an increased intake of the long-chain polyunsaturated fatty acids EPA, DPA and DHA (RR 1.27, 95% CI 1.10–1.48) relative to the stable-low group. Compared to the stable-low group, omega-6 and the ratio of omega-6 to omega-3 in the stable-high group were associated with an increased relative risk of 1.34 (95% CI 1.02–1.76) and 1.10 (95% CI 1.03–1.16), respectively.
Conclusion For those at high risk of fatty liver in early adolescence, high omega-6 fatty acid intake and a high ratio of omega-6 to omega-3 fatty acids are associated with increased risk of fatty liver. There should be caution in assuming these associations are causal due to possible undetected and underestimated confounding factors.
Supplementary Information The online version contains supplementary material available at 10.1007/s00394-022-02934-8.
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Affiliation(s)
- Fuzhen Wan
- Nutritional Epidemiology, Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7000, Australia
| | - Feng Pan
- Nutritional Epidemiology, Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7000, Australia
| | - Oyekoya Ayonrinde
- Medical School, The University of Western Australia, Perth, WA, Australia.,Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch University, Perth, WA, Australia.,Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Leon A Adams
- Medical School, The University of Western Australia, Perth, WA, Australia.,Department of Hepatology, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Trevor A Mori
- Medical School, The University of Western Australia, Perth, WA, Australia
| | - Lawrence J Beilin
- Medical School, The University of Western Australia, Perth, WA, Australia
| | - Therese A O'Sullivan
- School of Medical and Health Science, Edith Cowan University, Perth, WA, Australia
| | - John K Olynyk
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch University, Perth, WA, Australia.,School of Medical and Health Science, Edith Cowan University, Perth, WA, Australia
| | - Wendy H Oddy
- Nutritional Epidemiology, Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7000, Australia.
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Saul A, Taylor BV, Blizzard L, Simpson-Yap S, Oddy WH, Probst YC, Black LJ, Ponsonby AL, Broadley SA, Lechner-Scott J, van der Mei I. Associations between diet quality and depression, anxiety, and fatigue in multiple sclerosis. Mult Scler Relat Disord 2022; 63:103910. [DOI: 10.1016/j.msard.2022.103910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/05/2022] [Accepted: 05/22/2022] [Indexed: 10/18/2022]
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10
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Barden AE, Huang RC, Beilin LJ, Rauschert S, Tsai IJ, Oddy WH, Mori TA. Identifying young adults at high risk of cardiometabolic disease using cluster analysis and the Framingham 30-yr risk score. Nutr Metab Cardiovasc Dis 2022; 32:429-435. [PMID: 34895997 DOI: 10.1016/j.numecd.2021.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/08/2021] [Accepted: 10/08/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND AND AIMS Current strategies to reduce cardiovascular disease (CVD) risk in young adults are largely limited to those at extremes of risk. In cohort studies we have shown cluster analysis identified a large sub-group of adolescents with multiple risk factors. This study examined if individuals classified at 'high-risk' by cluster analysis could also be identified by their Framingham risk scores. METHODS AND RESULTS Raine Study data at 17- (n = 1048) and 20-years (n = 1120) identified high- and low-risk groups by cluster analysis using continuous measures of systolic BP, BMI, triglycerides and insulin resistance. We assessed:- CVD risk at 20-years using the Framingham 30 yr-risk-score in the high- and low-risk clusters, and cluster stability from adolescence to adulthood. Cluster analysis at 17- and 20-years identified a high-risk group comprising, 17.9% and 21.3%, respectively of the cohort. In contrast, only 1.2% and 3.4%, respectively, met the metabolic syndrome criteria, all of whom were within the high-risk cluster. Compared with the low-risk cluster, Framingham scores of the high-risk cluster were elevated in males (9.4%; 99%CI 8.3, 10.6 vs 6.0%; 99%CI 5.7, 6.2) and females (4.9%; 99%CI 4.4, 5.4 vs 3.2%; 99%CI 3.0, 3.3) (both P < 0.0001). A score >8 for males and >4 for females identified those at high CVD risk with 99% confidence. CONCLUSION Cluster analysis using multiple risk factors identified ∼20% of young adults at high CVD risk. Application of our Framingham 30 yr-risk cut-offs to individuals allows identification of more young people with multiple risk factors for CVD than conventional metabolic syndrome criteria.
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Affiliation(s)
- Anne E Barden
- Medical School, University of Western Australia, Australia.
| | - Rae-Chi Huang
- Medical School, University of Western Australia, Australia; Telethon Kids Institute, University of Western Australia, Australia
| | | | - Sebastian Rauschert
- Medical School, University of Western Australia, Australia; Telethon Kids Institute, University of Western Australia, Australia
| | - I-Jung Tsai
- Medical School, University of Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Australia
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11
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Wilson JE, Blizzard L, Gall SL, Magnussen CG, Oddy WH, Dwyer T, Venn AJ, Smith KJ. Associations between diet quality and DSM-IV mood disorders during young- to mid-adulthood among an Australian cohort. Soc Psychiatry Psychiatr Epidemiol 2022; 57:319-330. [PMID: 33961077 DOI: 10.1007/s00127-021-02086-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 04/07/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Many studies have reported associations between diet and depression, but few have used formal diagnoses of mood disorder as the outcome measure. We examined if overall diet quality was associated cross-sectionally or longitudinally with DSM-IV mood disorders among an adult cohort. METHODS Participants from the Australian Childhood Determinants of Adult Health study were followed up during 2004-06 (n = 1974, age 26-36 years), 2009-11 (n = 1480, 31-41 years), and 2014-19 (n = 1191, 36-49 years). Dietary Guidelines Index (DGI) scores were calculated from food frequency questionnaires at each time-point (higher DGI reflects better diet quality). DSM-IV mood disorders (dysthymia or depression) during the periods between, and 12 months prior to each follow-up were determined using the Composite International Diagnostic Interview. Sex-stratified risk and prevalence ratios (PR) and 95% confidence intervals (CI) were estimated using log-binomial regression. Covariates included age, self-perceived social support index score, marital status, parenting status, education, occupation, physical activity, BMI, and usual sleep duration. RESULTS A 10-point higher DGI was cross-sectionally associated with lower prevalence of mood disorders at the third follow-up only (females PR = 0.73, 95% CI = 0.56, 0.95; males PR = 0.72, 95% CI = 0.53, 0.97), but was attenuated after covariate adjustment (females PR = 0.92, 95% CI = 0.73, 1.16; males PR = 0.92, 95% CI = 0.69, 1.22). Adjustment for social support in the final model had attenuated the association for both sexes from 18% reduced prevalence to 8%. DGI scores were not longitudinally associated with mood disorder risk. CONCLUSIONS Crude cross-sectional associations between diet quality and mood disorders at ages 36-49 years were explained by sociodemographic and lifestyle factors, particularly social support.
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Affiliation(s)
- Johanna E Wilson
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Seana L Gall
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, FIN-20520, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, FIN-20520, Turku, Finland
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
- The George Institute for Global Health, University of Oxford, Oxford, OX1 3QX, UK
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia
| | - Kylie J Smith
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS, 7001, Australia.
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12
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Bennett AM, Murray K, Ambrosini GL, Oddy WH, Walsh JP, Zhu K. Prospective Associations of Sugar-Sweetened Beverage Consumption During Adolescence with Body Composition and Bone Mass at Early Adulthood. J Nutr 2021; 152:399-407. [PMID: 34791346 PMCID: PMC8826835 DOI: 10.1093/jn/nxab389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 09/22/2021] [Accepted: 11/11/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Adolescents have a higher consumption of sugar-sweetened beverages (SSBs) than other age groups, but little is known of the impact of SSB intake during adolescence on body composition and bone mass in early adulthood. OBJECTIVES Associations of SSB intake from 14 to 20 y with fat, lean, and bone mass at 20 y of age were evaluated. METHODS Study participants were 1137 offspring (562 females) from the Raine Study. Food intake, including SSB consumption in servings/d (1 serving = 250 mL), was estimated using FFQs at 14, 17, and 20 y of age. DXA scanning at 20 y measured whole body fat mass, lean mass, and bone mineral content (BMC). Using latent class growth analysis, 4 SSB intake trajectory classes were identified: consistently low (n = 540, intakes mostly <0.5 serving/d), increasing (n = 65), decreasing (n = 258), and consistently high (n = 274, intakes mostly >1.3 servings/d). RESULTS Median total SSB intake was 0.8, 0.7, and 0.5 serving/d, and median carbonated SSB intake was 0.3, 0.3, and 0.4 serving/d at 14, 17, and 20 y, respectively. Mean ± SD BMI (in kg/m2) was 23.9 ± 4.2 at 20 y. After adjustment for covariates including sex, demographic, energy intake, and maternal factors, individuals with "consistently high" SSB consumption had significantly higher total body fat mass at 20 y than those with "consistently low" consumption (23.3 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.004), which remained significant after further adjustment for "Healthy" and "Western" dietary patterns (23.2 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.011). No significant associations were observed between SSB intake trajectory classes and lean body mass or BMC at 20 y. CONCLUSIONS In this cohort, consistently higher consumption of SSBs in adolescence and early adulthood are associated with increased fat mass but not with bone mass at 20 y of age.
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Affiliation(s)
| | - Kevin Murray
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Gina L Ambrosini
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia,Discipline of Internal Medicine, Medical School, University of Western Australia, Perth, Australia
| | - Kun Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia,Discipline of Internal Medicine, Medical School, University of Western Australia, Perth, Australia
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13
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Pan F, Owen N, Oddy WH. Sugar sweetened beverages and increasing prevalence of type 2 diabetes in the Indigenous community of Australia. Nutr Metab Cardiovasc Dis 2021; 31:2825-2830. [PMID: 34353701 DOI: 10.1016/j.numecd.2021.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 06/17/2021] [Accepted: 06/19/2021] [Indexed: 11/20/2022]
Abstract
AIMS The aim of this viewpoint was to discuss a profound health gap in type 2 diabetes that exists between Indigenous and non-Indigenous Australians. DATA SYNTHESIS In Australia, type 2 diabetes is ranked as the fastest growing chronic condition, with the rates of type 2 diabetes higher among Indigenous than non-Indigenous Australians. Improvements to diet could aid in reducing overweight and obesity in the Indigenous community, with sugar sweetened beverages (SSBs) examples of discretionary foods that contain a high amount of sugar. The marked increase in type 2 diabetes, obesity and consumption of SSBs in the Indigenous community may suggest that type 2 diabetes may result from weight gain caused by SSB consumption. Recent evidence suggests that higher consumption of SSBs was associated with greater incidence of type 2 diabetes independent of adiposity. Some determinants influencing increased SSBs consumption in the Indigenous population include advertising, marketing, availability and affordability. CONCLUSIONS The prevalence rates of type 2 diabetes continue to be higher among Indigenous than non-Indigenous Australians and overall, a link between SSBs and risk of type 2 diabetes is reported. Three solutions to high SSBs consumption in Indigenous communities include increased availability, affordability, and accessibility of healthy food and drink, engagement of Indigenous people in offering solutions including discussion of a sugar tax on SSBs framed with Indigenous input, and the provision of clean community water supply and water bubblers.
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Affiliation(s)
- Feng Pan
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania, 7000, Australia
| | - Neville Owen
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Victoria, 3004, Australia; Swinburne University of Technology, Hawthorn, 3122, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania, 7000, Australia.
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14
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Lingham G, Mackey DA, Zhu K, Lucas RM, Black LJ, Oddy WH, Holt P, Walsh JP, Sanfilippo PG, Chan She Ping‐Delfos W, Yazar S. Time spent outdoors through childhood and adolescence - assessed by 25-hydroxyvitamin D concentration - and risk of myopia at 20 years. Acta Ophthalmol 2021; 99:679-687. [PMID: 33423400 DOI: 10.1111/aos.14709] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 11/03/2020] [Accepted: 11/09/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE To investigate the relationship between time spent outdoors, at particular ages in childhood and adolescence, and myopia status in young adulthood using serum 25-hydroxyvitamin D [25(OH)D] concentration as a biomarker of time spent outdoors. METHODS Participants of the Raine Study Generation 2 cohort had 25(OH)D concentrations measured at the 6-, 14-, 17- and 20-year follow-ups. Participants underwent cycloplegic autorefraction at age 20 years, and myopia was defined as a mean spherical equivalent -0.50 dioptres or more myopic. Logistic regression was used to analyse the association between risk of myopia at age 20 years and age-specific 25(OH)D concentrations. Linear mixed-effects models were used to analyse trajectory of 25(OH)D concentrations from 6 to 20 years. RESULTS After adjusting for sex, race, parental myopia, body mass index and studying status, myopia at 20 years was associated with lower 25(OH)D concentration at 20 years (per 10 nmol/L decrease, odds ratio (aOR)=1.10, 95% CI: 1.02, 1.18) and a low vitamin D status [25(OH)D < 50 nmol/L] at 17 years (aOR = 1.71, 95% CI: 1.06, 2.76) and 20 years (aOR = 1.71, 95% CI: 1.14, 2.56), compared to those without low vitamin D status. There were no associations between 25(OH)D at younger ages and myopia. Individuals who were myopic at 20 years had a 25(OH)D concentration trajectory that declined, relative to non-myopic peers, with increasing age. Differences in 25(OH)D trajectory between individuals with and without myopia were greater among non-Caucasians compared to Caucasians. CONCLUSIONS Myopia in young adulthood was most strongly associated with recent 25(OH)D concentrations, a marker of time spent outdoors.
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Affiliation(s)
- Gareth Lingham
- Lions Eye Institute Centre for Ophthalmology and Visual Science University of Western Australia Perth Australia
| | - David A. Mackey
- Lions Eye Institute Centre for Ophthalmology and Visual Science University of Western Australia Perth Australia
| | - Kun Zhu
- Medical School University of Western Australia Perth Australia
- Department of Endocrinology and Diabetes Sir Charles Gairdner Hospital Perth Australia
| | - Robyn M. Lucas
- Lions Eye Institute Centre for Ophthalmology and Visual Science University of Western Australia Perth Australia
- National Centre for Epidemiology and Population Health Research School of Population Health Australian National University Canberra Australia
| | | | - Wendy H. Oddy
- Menzies Institute for Medical Research University of Tasmania Hobart Australia
| | | | - John P. Walsh
- Medical School University of Western Australia Perth Australia
- Department of Endocrinology and Diabetes Sir Charles Gairdner Hospital Perth Australia
| | - Paul G. Sanfilippo
- Centre for Eye Research Australia Royal Victorian Eye and Ear Hospital University of Melbourne Melbourne Australia
| | | | - Seyhan Yazar
- Lions Eye Institute Centre for Ophthalmology and Visual Science University of Western Australia Perth Australia
- Garvan Institute of Medical Research Sydney Australia
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15
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Wang CA, Attia JR, Lye SJ, Oddy WH, Beilin L, Mori TA, Meyerkort C, Pennell CE. The interactions between genetics and early childhood nutrition influence adult cardiometabolic risk factors. Sci Rep 2021; 11:14826. [PMID: 34290306 PMCID: PMC8295375 DOI: 10.1038/s41598-021-94206-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/29/2021] [Indexed: 12/20/2022] Open
Abstract
It is well established that genetics, environment, and interplay between them play a crucial role in adult disease. We aimed to evaluate the role of genetics, early life nutrition, and the interaction between them, on optimal adult health. As part of a large international consortium (n ~ 154,000), we identified 60 SNPs associated with both birthweight and adult disease. Utilising the Raine Study, we developed a birthweight polygenic score (BW-PGS) based on the 60 SNPs and examined relationships between BW-PGS and adulthood cardiovascular risk factors, specifically evaluating interactions with early life nutrition. Healthy nutrition was beneficial for all individuals; longer duration of any breastfeeding was particularly associated with lower BMI and lower Systolic Blood Pressure in those with higher BW-PGS. Optimal breastfeeding offers the greatest benefit to reduce adult obesity and hypertension in those genetically predisposed to high birthweight. This provides an example of how precision medicine in early life can improve adult health.
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Affiliation(s)
- Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - John R Attia
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Stephen J Lye
- Alliance for Human Development, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | | | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia. .,Hunter Medical Research Institute, Newcastle, NSW, Australia.
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16
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Haslam DE, Peloso GM, Guirette M, Imamura F, Bartz TM, Pitsillides AN, Wang CA, Li-Gao R, Westra JM, Pitkänen N, Young KL, Graff M, Wood AC, Braun KVE, Luan J, Kähönen M, Kiefte-de Jong JC, Ghanbari M, Tintle N, Lemaitre RN, Mook-Kanamori DO, North K, Helminen M, Mossavar-Rahmani Y, Snetselaar L, Martin LW, Viikari JS, Oddy WH, Pennell CE, Rosendall FR, Ikram MA, Uitterlinden AG, Psaty BM, Mozaffarian D, Rotter JI, Taylor KD, Lehtimäki T, Raitakari OT, Livingston KA, Voortman T, Forouhi NG, Wareham NJ, de Mutsert R, Rich SS, Manson JE, Mora S, Ridker PM, Merino J, Meigs JB, Dashti HS, Chasman DI, Lichtenstein AH, Smith CE, Dupuis J, Herman MA, McKeown NM. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med 2021; 14:e003288. [PMID: 34270325 PMCID: PMC8373451 DOI: 10.1161/circgen.120.003288] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Supplemental Digital Content is available in the text. Background: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia. Methods: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake. Results: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16–3.07] mg/dL per allele; P<0.0001), but not significantly among the lowest SSB consumers (P=0.81; PDiff <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02–0.09] ln-mg/dL per allele, P=0.001) but not the lowest SSB consumers (P=0.84; PDiff=0.0005). Conclusions: Our results identified genetic variants in the CHREBP locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.
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Affiliation(s)
- Danielle E Haslam
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA.,Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition (D.E.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Melanie Guirette
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle.,Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Achilleas N Pitsillides
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | | | - Niina Pitkänen
- Auria Biobank (N.P.), University of Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX (A.C.W.)
| | - Kim V E Braun
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Mika Kähönen
- Department of Clinical Physiology (M.K.), Tampere University Hospital, Finland.,Department of Clinical Physiology (M.K.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland
| | - Jessica C Kiefte-de Jong
- Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands.,Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | | | - Rozenn N Lemaitre
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands.,Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands
| | - Kari North
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill.,Carolina Center for Genome Science (K.N.), University of North Carolina, Chapel Hill
| | - Mika Helminen
- Research Development and Innovation Centre (M.H.), Tampere University Hospital, Finland.,Faculty of Social Sciences, Health Sciences, Tampere University, Finland (M.H.)
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (Y.M.-R.)
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa, Iowa City (L.S.)
| | - Lisa W Martin
- George Washington University School of Medicine and Health Sciences, Washington, D.C. (L.W.M.)
| | - Jorma S Viikari
- Department of Medicine (J.S.V.), University of Turku, Finland.,Division of Medicine (J.S.V.), Turku University Hospital, Finland
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, HOB, Australia (W.H.O.)
| | - Craig E Pennell
- Nutrition and Genomics Laboratory (C.E.S.), Tufts University, Boston, MA.,School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Frits R Rosendall
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine (A.G.U.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Bruce M Psaty
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle.,Departments of Epidemiology and Health Services (B.M.P.), University of Washington, Seattle.,Kaiser Permanente Washington Health Research Institute, Seattle, WA (B.M.P.)
| | - Dariush Mozaffarian
- Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, and Friedman School of Nutrition Science and Policy (D.M.), Tufts University, Boston, MA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Terho Lehtimäki
- Department of Clinical Chemistry (T.L.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland.,Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland (T.L.)
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland.,Centre for Population Health Research (O.T.R.), University of Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Finland
| | - Kara A Livingston
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | | | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - Steven S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville (S.S.R.)
| | - JoAnn E Manson
- Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Epidemiology (J.E.M.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Samia Mora
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Paul M Ridker
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jordi Merino
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain (J.M.).,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - James B Meigs
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Hassan S Dashti
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston.,Department of Anesthesia, Critical Care and Pain Medicine (H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Daniel I Chasman
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Mark A Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC (M.A.H.)
| | - Nicola M McKeown
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
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17
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Wan F, Pan F, Ayonrinde OT, Adams LA, Mori TA, Beilin LJ, O'Sullivan TA, Olynyk JK, Oddy WH. Validation of fatty liver disease scoring systems for ultrasound diagnosed non-alcoholic fatty liver disease in adolescents. Dig Liver Dis 2021; 53:746-752. [PMID: 33334704 DOI: 10.1016/j.dld.2020.11.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/23/2020] [Accepted: 11/29/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS The incidence of non-alcoholic fatty liver disease (NAFLD) is increasing in young populations. However, there are inadequate data regarding diagnosis of NAFLD. We aimed to validate three scoring systems against a previous standard of suprailiac skinfold thickness for diagnosing NAFLD in population-based adolescents. METHODS Seventeen-year-old adolescents (n = 899), participating in the Raine Study, attended a cross-sectional follow-up. NAFLD was diagnosed using liver ultrasound. Scores for Fatty liver index (FLI), Hepatic Steatosis Index (HSI) and Zhejiang University index (ZJU index) were calculated. Diagnostic accuracy of these diagnostic tests was evaluated through discrimination and calibration. RESULTS NAFLD was diagnosed 9% in males and 15% in females. The three scoring systems demonstrated better discrimination performance for NAFLD in males (AUC was FLI:0.82, HSI: 0.83 and ZJU index: 0.83) compared to females (AUC was FLI: 0.67, HSI: 0.67 and ZJU index: 0.67). Suprailiac skinfold performed better than the scoring systems (overall AUC: 0.82; male AUC:0.88; female AUC:0.73). FLI had best calibration performance. CONCLUSION Suprailiac skinfold thickness was a better predictor of ultrasound-diagnosed NAFLD than the three diagnostic scoring systems investigated. The higher performance characteristics of the algorithmic scoring systems in males compared with females may have implications for use in population assessments.
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Affiliation(s)
- Fuzhen Wan
- Menzies Institute for Medical Research, University of Tasmania
| | - Feng Pan
- Menzies Institute for Medical Research, University of Tasmania
| | - Oyekoya T Ayonrinde
- Medical School, The University of Western Australia, Perth, Western Australia; Department of Gastroenterology, Fiona Stanley Fremantle Hospital Group, Murdoch, Western Australia
| | - Leon A Adams
- Medical School, The University of Western Australia, Perth, Western Australia
| | - Trevor A Mori
- Medical School, The University of Western Australia, Perth, Western Australia
| | - Lawrence J Beilin
- Medical School, The University of Western Australia, Perth, Western Australia
| | | | - John K Olynyk
- Department of Gastroenterology, Fiona Stanley Fremantle Hospital Group, Murdoch, Western Australia; School of Medical and Health Sciences, Edith Cowan University
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania.
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18
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Nguyen HH, Wu F, Makin JK, Oddy WH, Wills K, Jones G, Winzenberg T. Associations of dietary patterns with bone density and fractures in adults: A systematic review and meta-analysis. Aust J Gen Pract 2021; 50:394-401. [PMID: 34059846 DOI: 10.31128/ajgp-02-20-5245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND OBJECTIVES Although nutrition is important to bone health, the impact of different dietary patterns on bone density and fracture is unclear. The aim of this study was to synthesise conflicting evidence from observational studies to determine associations of empirically derived dietary patterns with bone density and fracture in healthy adults. METHOD A systematic review (PROSPERO CRD42017071676) with meta-analysis where possible (for hip fracture) and otherwise with best-evidence synthesis. RESULTS Twenty-one studies were included in the best-evidence synthesis and four in the meta-analysis. Meta-analysis demonstrated a protective association between 'healthy' pattern score and hip fracture (risk ratio 0.73; 95% confidence interval: 0.56, 0.96; I2 = 95%) for highest compared to lowest 'healthy' pattern score category. In best-evidence synthesis, there was conflicting evidence for associations of both pattern scores with bone density at all sites and total fractures and for 'Western' score and hip fracture. No study reported detrimental effects of 'healthy' patterns, or beneficial effects of 'Western' patterns. DISCUSSION The results suggest that general practitioners promoting a 'healthy' dietary pattern is, at worst, unlikely to be detrimental for bone health and, at best, may reduce hip fracture.
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Affiliation(s)
- H H Nguyen
- BPH, MPH, Menzies Institute for Medical Research, University of Tasmania, Tas; Ho Chi Minh City University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam
| | - F Wu
- PhD, Research Fellow, Menzies Institute for Medical Research, University of Tasmania, Tas
| | - J K Makin
- MSc, Senior Consultant: Research and Evaluation, Menzies Institute for Medical Research, University of Tasmania, Tas
| | - W H Oddy
- MPH, PhD, Professorial Research Fellow, Menzies Institute for Medical Research, University of@Tasmania, Tas
| | - K Wills
- PhD, Research Fellow Biostatistics, Menzies Institute for Medical Research, University of Tasmania, Tas
| | - G Jones
- FRACP, MD, Professorial Research Fellow, Menzies Institute for Medical Research, University of@Tasmania, Tas
| | - T Winzenberg
- FRACGP, PhD, Professor of Chronic Disease Management, Menzies Institute for Medical Research, University of Tasmania, Tas
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19
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He Y, Tian J, Blizzard L, Oddy WH, Dwyer T, Bazzano LA, Hickey M, Harville EW, Venn AJ. Associations of childhood adiposity with menstrual irregularity and polycystic ovary syndrome in adulthood: the Childhood Determinants of Adult Health Study and the Bogalusa Heart Study. Hum Reprod 2021; 35:1185-1198. [PMID: 32344436 DOI: 10.1093/humrep/deaa069] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 02/28/2020] [Indexed: 11/13/2022] Open
Abstract
STUDY QUESTION Is high adiposity in childhood associated with menstrual irregularity and polycystic ovary syndrome (PCOS) in later life? SUMMARY ANSWER Overall, greater childhood BMI was associated with menstrual irregularity, and greater childhood BMI and waist/height ratio (WHtR) in white but not black participants were associated with PCOS in adulthood. WHAT IS KNOWN ALREADY Increased childhood BMI has been associated with irregular menstrual cycles and PCOS symptoms in adulthood in two longitudinal population-based studies, but no study has reported on associations with childhood abdominal obesity. Few studies have investigated whether there are racial differences in the associations of adiposity with PCOS though there has been some suggestion that associations with high BMI may be stronger in white girls than in black girls. STUDY DESIGN, SIZE, DURATION The study included 1516 participants (aged 26-41 years) from the Australian Childhood Determinants of Adult Health study (CDAH) and 1247 participants (aged 26-57 years) from the biracial USA Babies substudy of the Bogalusa Heart Study (BBS) who were aged 7-15 years at baseline. At follow-up, questions were asked about menstruation (current for CDAH or before age 40 years for BBS), ever having had a diagnosis of PCOS and symptoms of PCOS. PARTICIPANTS/MATERIALS, SETTING, METHODS In CDAH, a single childhood visit was conducted in 1985. In BBS, multiple childhood visits occurred from 1973 to 2000 and race was reported (59% white; 41% black). In childhood, overweight and obesity were defined by international age-sex-specific standards for BMI and WHtR was considered as an indicator of abdominal obesity. Multilevel mixed-effects Poisson regression estimated relative risks (RRs) adjusting for childhood age, highest parental and own education and age at menarche. MAIN RESULTS AND THE ROLE OF CHANCE The prevalence of childhood obesity was 1.1% in CDAH and 7.5% in BBS. At follow-up, menstrual irregularity was reported by 16.7% of CDAH and 24.5% of BBS participants. The prevalence of PCOS was 7.4% in CDAH and 8.0% in BBS participants. In CDAH, childhood obesity was associated with menstrual irregularity (RR = 2.84, 95% CI: 1.63-4.96) and PCOS (RR = 4.05, 95% CI: 1.10-14.83) in adulthood. With each 0.01 unit increase in childhood WHtR there was a 6% (95% CI: 1-11%) greater likelihood of PCOS. Overall, in BBS, childhood obesity was associated with increased risk of menstrual irregularity (RR = 1.44, 95% CI: 1.08-1.92) in adulthood. Significant interaction effects between race and childhood adiposity were detected in associations with PCOS. In BBS white participants, childhood obesity was associated with PCOS (RR = 2.93, 95% CI: 1.65-5.22) and a 0.01 unit increase in childhood WHtR was associated with an 11% (95% CI: 5-17%) greater likelihood of PCOS in adulthood. In BBS black participants, no statistically significant associations of childhood adiposity measures with PCOS were observed. LIMITATIONS, REASONS FOR CAUTION The classification of menstrual irregularity and PCOS was based on self-report by questionnaire, which may have led to misclassification of these outcomes. However, despite the limitations of the study, the prevalence of menstrual irregularity and PCOS in the two cohorts was consistent with the literature. While the study samples at baseline were population-based, loss to follow-up means the generalizability of the findings is uncertain. WIDER IMPLICATIONS OF THE FINDINGS Greater childhood adiposity indicates a higher risk of menstrual irregularity and PCOS in adulthood. Whether this is causal or an early indicator of underlying hormonal or metabolic disorders needs clarification. The stronger associations of adiposity with PCOS in white than black participants suggest that there are racial differences in childhood adiposity predisposing to the development of PCOS and other environmental or genetic factors are also important. STUDY FUNDING/COMPETING INTEREST(S) The CDAH study was supported by grants from the Australian National Health and Medical Research Council (grants 211316, 544923 and 1128373). The Bogalusa Heart Study is supported by US National Institutes of Health grants R01HD069587, AG16592, HL121230, HD032194 and P50HL015103. No competing interests existed.
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Affiliation(s)
- Y He
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - J Tian
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - T Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.,The George Institute for Global Health, University of Oxford, Oxford, UK
| | - L A Bazzano
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - M Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne, Royal Women's Hospital, Parkville, VIC, Australia
| | - E W Harville
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - A J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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20
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Goode JP, Smith KJ, Kilpatrick M, Breslin M, Oddy WH, Dwyer T, Venn AJ, Magnussen CG. Retrospectively Estimating Energy Intake and Misreporting From a Qualitative Food Frequency Questionnaire: An Example Using Australian Cohort and National Survey Data. Front Nutr 2021; 8:624305. [PMID: 33898495 PMCID: PMC8058357 DOI: 10.3389/fnut.2021.624305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 02/22/2021] [Indexed: 12/25/2022] Open
Abstract
Qualitative food frequency questionnaires (Q-FFQ) omit portion size information from dietary assessment. This restricts researchers to consumption frequency data, limiting investigations of dietary composition (i.e., energy-adjusted intakes) and misreporting. To support such researchers, we provide an instructive example of Q-FFQ energy intake estimation that derives typical portion size information from a reference survey population and evaluates misreporting. A sample of 1,919 Childhood Determinants of Adult Health Study (CDAH) participants aged 26-36 years completed a 127-item Q-FFQ. We assumed sex-specific portion sizes for Q-FFQ items using 24-h dietary recall data from the 2011-2012 Australian National Nutrition and Physical Activity Survey (NNPAS) and compiled energy density values primarily using the Australian Food Composition Database. Total energy intake estimation was daily equivalent frequency × portion size (g) × energy density (kJ/g) for each Q-FFQ item, summed. We benchmarked energy intake estimates against a weighted sample of age-matched NNPAS respondents (n = 1,383). Median (interquartile range) energy intake was 9,400 (7,580-11,969) kJ/day in CDAH and 9,055 (6,916-11,825) kJ/day in weighted NNPAS. Median energy intake to basal metabolic rate ratios were 1.43 (1.15-1.78) in CDAH and 1.35 (1.03-1.74) in weighted NNPAS, indicating notable underreporting in both samples, with increased levels of underreporting among the overweight and obese. Using the Goldberg and predicted total energy expenditure methods for classifying misreporting, 65 and 41% of CDAH participants had acceptable/plausible energy intake estimates, respectively. Excluding suspected CDAH misreporters improved the plausibility of energy intake estimates, concordant with expected body weight associations. This process can assist researchers wanting an estimate of energy intake from a Q-FFQ and to evaluate misreporting, broadening the scope of diet-disease investigations that depend on consumption frequency data.
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Affiliation(s)
- James P. Goode
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Kylie J. Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Michelle Kilpatrick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Wendy H. Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
- Oxford Martin School and Nuffield Department of Obstetrics and Gynaecology, George Institute for Global Health, University of Oxford, Oxford, United Kingdom
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Alison J. Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Costan G. Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
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Panossian C, Lyons-Wall P, Whitehouse A, Oddy WH, Lo J, Scott J, O'Sullivan TA. Young Adults with High Autistic-Like Traits Displayed Lower Food Variety and Diet Quality in Childhood. J Autism Dev Disord 2021; 51:685-696. [PMID: 32617793 PMCID: PMC7835288 DOI: 10.1007/s10803-020-04567-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
This study explored the association between autistic-like traits in young adults and dietary intake in early childhood in the Gen2 Raine Study cohort. Data were available from 811 participants at years 1, 2 and 3 for the assessment of dietary intake, and at year 20 for measurement of autistic-like traits. Results showed as autistic-like traits increased, total food variety, core food variety and dairy variety decreased (p < 0.05), with a lower consumption of citrus fruits and yoghurt (both p = 0.04). As autistic-like traits increased, diet quality decreased, this trend was significant at 2 years (p = 0.024). Our results suggest that young adults with higher autistic-like traits were more likely to have had lower food variety and diet quality in early childhood.
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Affiliation(s)
- Catherine Panossian
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
| | - Philippa Lyons-Wall
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | - Andrew Whitehouse
- Telethon Kids Institute, The University of Western Australia, Perth Children's Hospital, Northern Entrance, 15 Hospital Avenue, Nedlands, WA, 6009, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Churchill Avenue, Hobart, TAS, 7005, Australia
| | - Johnny Lo
- School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | - Jane Scott
- School of Public Health, Curtin University, Kent Street, Bentley, WA, 6102, Australia
| | - Therese A O'Sullivan
- School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
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Wilson JE, Blizzard L, Gall SL, Magnussen CG, Oddy WH, Dwyer T, Sanderson K, Venn AJ, Smith KJ. An eating pattern characterised by skipped or delayed breakfast is associated with mood disorders among an Australian adult cohort. Psychol Med 2020; 50:2711-2721. [PMID: 31615586 DOI: 10.1017/s0033291719002800] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Meal timing may influence food choices, neurobiology and psychological states. Our exploratory study examined if time-of-day eating patterns were associated with mood disorders among adults. METHODS During 2004-2006 (age 26-36 years) and 2009-2011 (follow-up, age 31-41 years), N = 1304 participants reported 24-h food and beverage intake. Time-of-day eating patterns were derived by principal components analysis. At follow-up, the Composite International Diagnostic Interview measured lifetime mood disorder. Log binomial and adjacent categories log-link regression were used to examine bidirectional associations between eating patterns and mood disorder. Covariates included sex, age, marital status, social support, education, work schedule, body mass index and smoking. RESULTS Three patterns were derived at each time-point: Grazing (intake spread across the day), Traditional (highest intakes reflected breakfast, lunch and dinner), and Late (skipped/delayed breakfast with higher evening intakes). Compared to those in the lowest third of the respective pattern at baseline and follow-up, during the 5-year follow-up, those in the highest third of the Late pattern at both time-points had a higher prevalence of mood disorder [prevalence ratio (PR) = 2.04; 95% confidence interval (CI) 1.20-3.48], and those in the highest third of the Traditional pattern at both time-points had a lower prevalence of first onset mood disorder (PR = 0.31; 95% CI 0.11-0.87). Participants who experienced a mood disorder during follow-up had a 1.07 higher relative risk of being in a higher Late pattern score category at follow-up than those without mood disorder (95% CI 1.00-1.14). CONCLUSIONS Non-traditional eating patterns, particularly skipped or delayed breakfast, may be associated with mood disorders.
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Affiliation(s)
- J E Wilson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
| | - S L Gall
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
| | - C G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, FIN-20520, Finland
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
| | - T Dwyer
- The George Institute for Global Health, University of Oxford, Oxford, OX1 3QX, UK
| | - K Sanderson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
- School of Health Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
| | - A J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
| | - K J Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania7000, Australia
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Nguyen HH, Wu F, Oddy WH, Wills K, Brennan-Olsen SL, Jones G, Winzenberg T. Longitudinal associations of dietary patterns with sociodemographic and lifestyle factors in older adults: the TASOAC study. Eur J Clin Nutr 2020; 75:759-767. [PMID: 33199850 DOI: 10.1038/s41430-020-00802-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 10/01/2020] [Accepted: 10/28/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES To derive dietary patterns and examine their longitudinal associations with sociodemographic and lifestyle factors in the Tasmanian Older Adult Cohort. SUBJECTS/METHODS This is a corrected analysis of a retracted paper. We followed 1098 adults aged ≥50 years for 5 years. Dietary intake was assessed using a validated food frequency questionnaire. Baseline dietary patterns were identified using exploratory factor analysis and scores at each time point calculated using the weighted sum score method. Associations of energy-adjusted dietary pattern scores with participant characteristics were assessed using linear mixed-effects models. RESULTS The four dietary patterns identified were: fruit and vegetable (vegetables, potatoes, fruits); animal protein (poultry, red meats, fish); snack (snacks, sweets, nuts); western (meat pies, hamburgers, pizzas). Fruit and vegetable pattern scores were lower in men and current smokers at baseline. Animal protein scores were lower in older and retired people but higher in men and smokers at baseline. The sex difference in animal protein score increased over time (p = 0.012). At baseline, snack score was positively associated with age and physical activity, but lower in men and current smokers. The effect of age on snack score lessened over time (p = 0.035). Western scores were lower in older people but higher in men, current smokers and those living in disadvantaged areas at baseline. The effect of age on western score reduced over time (p = 0.001). CONCLUSIONS The higher scores for healthy and/or lower scores for unhealthy patterns in men, smokers, retirees and those experiencing social disadvantage suggest these could be target groups for interventions to improve diet quality in older adults.
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Affiliation(s)
- Hoa H Nguyen
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia.,Ho Chi Minh City University of Medicine and Pharmacy, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam
| | - Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia
| | - Karen Wills
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia
| | - Sharon L Brennan-Olsen
- Department of Medicine-Western Health, The University of Melbourne, 176 Furlong Road, St Albans, 3021, VIC, Australia.,Australian Institute for Musculoskeletal Science (AIMSS), University of Melbourne-Western Health, 176 Furlong Road, St Albans, 3021, VIC, Australia.,School of Health and Social Development, Deakin University, Geelong Waterfront Campus, Gheringhap Street, Geelong, VIC, Australia.,Institute for Health Transformation, Deakin University, Geelong Waterfront Campus, Gheringhap Street, Geelong, VIC, Australia
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia
| | - Tania Winzenberg
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, 7000, TAS, Australia.
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24
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Wilson JE, Blizzard L, Gall SL, Magnussen CG, Oddy WH, Dwyer T, Venn AJ, Smith KJ. Youth diet quality and hazard of mood disorder in adolescence and adulthood among an Australian cohort. J Affect Disord 2020; 276:511-518. [PMID: 32871682 DOI: 10.1016/j.jad.2020.07.048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 05/19/2020] [Accepted: 07/05/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Prospective studies on youth diet and mood disorders outcomes are limited. We examined if youth diet quality was associated with mood disorder onset over a 25-year follow-up period. METHODS In 1985, Australian participants (aged 10-15 years) completed a 24-hour food record. A validated 100-point Dietary Guidelines Index (DGI) assessed diet quality. In 2009-11, 1005 participants (aged 33-41 years) completed the lifetime Composite International Diagnostic Interview for age of first DSM-IV defined mood disorder (depression or dysthymia). Cox proportional hazards regression estimated hazard of mood disorder during the 25-year follow-up according to baseline DGI score. Sensitivity analyses censored the study at 5, 10, and 15 years after baseline and used log binomial regression to estimate relative risk (RR). Covariates included baseline negative affect, BMI, academic performance, smoking, breakfast eating, physical activity, and socioeconomic status. RESULTS The mean(SD) youth DGI score was 45.0(11.5). A 10-point higher DGI was not associated with hazard of mood disorder onset over the 25-year follow-up (Hazard Ratio (HR):1.00; 95% Confidence Interval (CI):0.89-1.13). The only indication that higher DGI might be associated with lower risk of mood disorder was within the first 5 years after baseline and this was not statistically significant (RR=0.85; 95% CI:0.60-1.18). LIMITATIONS Loss-to-follow-up. A single 24-hour food record may not represent usual diet. CONCLUSION Youth diet did not predict mood disorders in adulthood. The suggestions of a lower risk of mood disorder during late adolescence highlights that further prospective studies are needed.
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Affiliation(s)
- J E Wilson
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia
| | - L Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia
| | - S L Gall
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia
| | - C G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku FIN-20520, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku FIN-20520, Finland
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia
| | - T Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia; The George Institute for Global Health, University of Oxford, Oxford OX1 3QX, United Kingdom
| | - A J Venn
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia
| | - K J Smith
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, Tasmania 7001, Australia.
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25
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He Y, Tian J, Oddy WH, Blizzard L, Dwyer T, Hickey M, Venn AJ. The associations of childhood adiposity with menopausal symptoms in women aged 45-49 years: An Australian Cohort Study. Maturitas 2020; 143:81-88. [PMID: 33308641 DOI: 10.1016/j.maturitas.2020.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/18/2020] [Accepted: 09/27/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To examine the associations of childhood adiposity with menopausal symptoms in women aged 45-49 years. STUDY DESIGN National population-based cohort study of 334 girls prospectively followed from childhood (aged 11-15) through to midlife (aged 45-49). Childhood overweight and obesity were defined by international age- and sex-specific standards for body mass index (BMI), and abdominal obesity was defined as waist/height ratio≥0.5. MAIN OUTCOME MEASURES Vasomotor symptoms (VMS), vaginal dryness, total menopausal symptoms and domain-specific symptoms (somatic, psychological and urogenital) were measured during 2018-19 using the Menopause Rating Scale (MRS) and classified as none, mild, moderate or severe. RESULTS The prevalence of mild, moderate and severe VMS was 24.0 %, 9.0 % and 3.9 %, and of vaginal dryness was 12.6 %, 4.8 % and 2.4 %. No significant associations of childhood overweight/obesity or abdominal obesity with VMS or vaginal dryness were found after adjustment for childhood age, follow-up length, smoking, socioeconomic status and diet quality. Childhood overweight/obesity was associated with increased risks of more severe total (RR:1.17, 95 % CI:1.02-1.36), psychological (RR:1.19, 95 % CI:1.04-1.35) and urogenital (RR:1.29, 95 % CI:1.14-1.46) symptoms measured using the MRS. Associations with childhood abdominal obesity were mostly stronger with more severe total (RR:2.19, 95 % CI:1.48-3.23), somatic (RR:1.52, 95 % CI:1.15-2.02), psychological (RR:1.21, 95 % CI:1.04-1.42) and urogenital (RR:2.11, 95 % CI:1.39-3.20) symptoms. CONCLUSIONS Childhood adiposity was not associated with increased risks of more severe VMS or vaginal dryness in women aged 45-49 years. Childhood adiposity, especially abdominal obesity, was associated with more severe total, somatic, psychological and urogenital symptoms. However, the association between these symptoms and menopause is not established.
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Affiliation(s)
- Ye He
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Jing Tian
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Terence Dwyer
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Martha Hickey
- Department of Obstetrics and Gynecology, University of Melbourne, Parkville, Australia; The Royal Women's Hospital, Victoria, Australia
| | - Alison J Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
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Rauschert S, Melton PE, Heiskala A, Karhunen V, Burdge G, Craig JM, Godfrey KM, Lillycrop K, Mori TA, Beilin LJ, Oddy WH, Pennell C, Järvelin MR, Sebert S, Huang RC. Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults. Environ Health Perspect 2020; 128:97003. [PMID: 32930613 PMCID: PMC7491641 DOI: 10.1289/ehp6076] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 08/20/2020] [Accepted: 08/28/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for in utero cigarette smoke exposure. METHODS We used machine learning methods to create a score reflecting exposure to maternal smoking during pregnancy. This score is based on peripheral blood measurements of DNA methylation (Illumina's Infinium HumanMethylation450K BeadChip). The score was developed and tested in the Raine Study with data from 995 white 17-y-old participants using 10-fold cross-validation. The score was further tested and validated in independent data from the Northern Finland Birth Cohort 1986 (NFBC1986) (16-y-olds) and 1966 (NFBC1966) (31-y-olds). Further, three previously proposed DNA methylation scores were applied for comparison. The final score was developed with 204 CpGs using elastic net regression. RESULTS Sensitivity and specificity values for the best performing previously developed classifier ("Reese Score") were 88% and 72% for Raine, 87% and 61% for NFBC1986 and 72% and 70% for NFBC1966, respectively; corresponding figures using the elastic net regression approach were 91% and 76% (Raine), 87% and 75% (NFBC1986), and 72% and 78% for NFBC1966. CONCLUSION We have developed a DNA methylation score for exposure to maternal smoking during pregnancy, outperforming the three previously developed scores. One possible application of the current score could be for model adjustment purposes or to assess its association with distal health outcomes where part of the effect can be attributed to maternal smoking. Further, it may provide a biomarker for fetal exposure to maternal smoking. https://doi.org/10.1289/EHP6076.
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Affiliation(s)
- Sebastian Rauschert
- Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia, Australia
| | - Phillip E. Melton
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Perth, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Perth, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Anni Heiskala
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Graham Burdge
- Institute of Developmental Sciences, University of Southampton, Faculty of Medicine, Southampton, UK
| | - Jeffrey M. Craig
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Victoria, Australia
- Molecular Epidemiology, Murdoch Children’s Research Institute, Parkville, Australia
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Karen Lillycrop
- Biological Sciences, Faculty of Natural and Environmental Sciences, University of Southampton, Southampton, Hampshire, UK
| | - Trevor A. Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia
| | - Wendy H. Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Craig Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Metabolism, Digestion and Reproduction, Genomic Medicine, Imperial College London, London, UK
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia, Australia
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Simpson-Yap S, Oddy WH, Taylor B, Lucas RM, Black LJ, Ponsonby AL, Blizzard L, van der Mei I. High Prudent diet factor score predicts lower relapse hazard in early multiple sclerosis. Mult Scler 2020; 27:1112-1124. [PMID: 32701031 DOI: 10.1177/1352458520943087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Dietary patterns and their association with subsequent clinical course have not been well studied in early multiple sclerosis (MS). OBJECTIVES To describe dietary patterns in people in 5 years following first clinical demyelination and assess associations with MS conversion and relapse. METHODS This study included baseline food frequency questionnaire dietary intake (entry to the Ausimmune Study) and 5-year follow-up; iterated principal factor analysis was applied. MS conversion and relapse risks were assessed by Cox proportional hazards models, adjusted for age, sex, study site, education, body mass index (BMI), smoking and omega-3 supplement use. RESULTS In cases with a first clinical diagnosis of central nervous system (CNS) demyelination, we identified three major dietary patterns, 'Prudent', 'High-Vegetable' and 'Mixed', explaining 43%, 37% and 24% of diet variance in dietary intake, respectively. Fruits, vegetables, fish, wholegrains and nuts loaded highly on the Prudent pattern, starchy vegetables and legumes on the High-Vegetable pattern, and meats and alcohol on the Mixed pattern. Diet factor scores were not associated with MS conversion risk. Those with baseline Prudent scores above the median had significantly lower relapse risk (adjusted hazard ratio = 0.54, 95% confidence interval (CI) 0.37, 0.81) with some evidence of a plateau effect. CONCLUSION Prudent diet factor score above the median was prospectively associated with lower relapse risk in the 5 years following the first clinical demyelinating event.
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Affiliation(s)
- Steve Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia/Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Bruce Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Robyn M Lucas
- National Centre for Epidemiology & Population Health, Research School of Population Health, The Australian National University, Acton, ACT, Australia/Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA, Australia
| | - Lucinda J Black
- School of Public Health, Curtin University, Bentley, WA, Australia
| | - Anne-Louise Ponsonby
- National Centre for Epidemiology & Population Health, Research School of Population Health, The Australian National University, Acton, ACT, Australia/Murdoch Children's Research Institute, The University of Melbourne, Melbourne, VIC, Australia/Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Leigh Blizzard
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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Abstract
Dietary fiber is a crucial component of a healthy diet, with benefits that can be attributed to processes in the gut microbiota and the resulting by-products. Observational studies support associations between dietary fiber intake and depression and inflammation, but the potential mechanisms are poorly understood. This review examines evidence of the effects of dietary fiber on depression and inflammation and considers plausible mechanisms linking dietary fiber and depression, including microbiota-driven modification of gene expression and increased production of neurotransmitters. Additionally, inflammation may mediate the relationship between dietary fiber intake and depression. A high-fiber diet potentially lowers inflammation by modifying both the pH and the permeability of the gut. The resultant reduction in inflammatory compounds may alter neurotransmitter concentrations to reduce symptoms of depression. Further research into the link between dietary fiber intake and inflammation and depression is essential, as findings could potentially provide guidance for improvement in or prevention of inflammatory and depressive disorders.
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Affiliation(s)
- Olivia G Swann
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Michelle Kilpatrick
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Monique Breslin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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Ng FJ, Mackey DA, O'Sullivan TA, Oddy WH, Yazar S. Is Dietary Vitamin A Associated with Myopia from Adolescence to Young Adulthood? Transl Vis Sci Technol 2020; 9:29. [PMID: 32821526 PMCID: PMC7408804 DOI: 10.1167/tvst.9.6.29] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 04/01/2020] [Indexed: 12/19/2022] Open
Abstract
Purpose Potential links may exist between vitamin A intake and myopia via various pathways. In this study, we examined the association between dietary vitamin A intake during adolescence and myopia in early adulthood. Methods We performed a prospective analysis utilizing data collected from participants of the Raine Study Gen2. Dietary vitamin A intake, determined via food frequency questionnaires completed at ages 14, 17, and 20 years, was compared with ophthalmic measurements collected at year 20. Low vitamin A levels were defined as <600 µg/day. Regression models were used to adjust for ocular sun exposure level, educational level, and parental myopia as potential confounders. Results A total of 642 subjects were analyzed. Although those with adequate vitamin A intakes were less likely to be myopic (P = 0.03), this association became insignificant when adjusted for potential confounding factors in logistic regression modeling (odds ratio, 0.59; 95% confidence interval, 0.98–2.52; P = 0.06). Conclusions There were no significant associations between total vitamin A intakes during adolescence and year 20 refractive errors after adjustment for confounders. Replication of this finding and further investigations are essential to rule out the suggestion that sufficient vitamin A intake during adolescence is associated with lower risk of myopia in early adulthood. Translational Relevance Our findings are not definitive that ingesting foods high in vitamin A during childhood and adolescence does not have a role for preventing myopia in early adulthood.
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Affiliation(s)
- Fletcher J Ng
- Department of Genetics and Epidemiology, Lions Eye Institute, Perth, Western Australia, Australia
| | - David A Mackey
- Department of Genetics and Epidemiology, Lions Eye Institute, Perth, Western Australia, Australia.,Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, Western Australia, Australia
| | - Therese A O'Sullivan
- School of Medical and Health Science, Edith Cowan University, Perth, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Seyhan Yazar
- Department of Genetics and Epidemiology, Lions Eye Institute, Perth, Western Australia, Australia.,Garvan Institute of Medical Research, Sydney, Australia.,Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, Western Australia, Australia
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30
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Kent K, Charlton K, O'Sullivan T, Oddy WH. Estimated intake and major food sources of flavonoids among Australian adolescents. Eur J Nutr 2020; 59:3841-3856. [PMID: 32170374 DOI: 10.1007/s00394-020-02218-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 02/28/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE The consumption of dietary flavonoids from plant-based foods has been related to the prevention of multiple chronic diseases. However, intake data from adolescents are lacking. We aimed to characterise the intake and major sources of dietary flavonoids among Australian adolescents and investigate changes during adolescence. METHODS The Raine Study Gen 2 participants completed a 212-item food frequency questionnaire at age 14 years and 17 years, with repeated measures for n = 883. Items were assigned a content for six flavonoid subclasses using the Phenol-Explorer database, which were summed for total flavonoid intake. Daily intakes and sources of flavonoids and flavonoid-subclasses were determined, and change assessed between 14 and 17 years, for males and females. RESULTS Major food sources of flavonoids and each subclass were similar at 14 and 17 years, with fruit juice the major contributor to total flavonoid intake at both time points (providing 44% and 38%, respectively). Citrus flavanones (predominantly hesperitin) were the major subclass at 14 years, while tea flavan-3-ols were a major subclass (predominantly procyanidin dimers) at 17 years. The mean intake of total flavonoids at 14 years was 210 ± 133 mg/day, reducing by 5% (10 mg/day) by 17 years. Females consumed a more flavonoid-dense diet compared to males (104.5 ± 71.5 mg/1000 kcal vs 80.4 ± 50.3 mg/1000 kcal per day; p < 0.001). CONCLUSION This study provides a comprehensive estimation of flavonoid intake and their major food sources in a sample of Australian adolescents, which may be useful in the development of practical dietary recommendations.
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Affiliation(s)
- Katherine Kent
- Centre for Rural Health, University of Tasmania, Launceston, TAS, 7250, Australia.
| | - Karen Charlton
- School of Medicine, University of Wollongong, Wollongong, NSW, 2522, Australia.,Illawarra Health and Medical Research Institute, Wollongong, NSW, 2522, Australia
| | - Therese O'Sullivan
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, 7000, Australia
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31
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Ayonrinde OT, Sanfilippo FM, O'Sullivan TA, Adams LA, Ayonrinde OA, Robinson M, Oddy WH, Olynyk JK. Bowel patterns, gastrointestinal symptoms, and emotional well-being in adolescents: A cohort study. J Gastroenterol Hepatol 2019; 34:1946-1954. [PMID: 31059144 DOI: 10.1111/jgh.14699] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/12/2019] [Accepted: 04/28/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIM Bowel patterns are varied in the general population. Gastrointestinal symptoms are common reasons for clinical visits. We aimed to examine the usual bowel pattern and the prevalence and significance of gastrointestinal symptoms in a population-based cohort of Australian adolescents. METHODS Seventeen-year-old adolescents (n = 1279) in the Western Australian Pregnancy Cohort (Raine) Study participated in a cross-sectional assessment, involving health questionnaires. Questions included medical history, diet, bowel patterns, and gastrointestinal symptoms. Data were analyzed to identify patterns of bowel motions, gastrointestinal symptoms, and factors associated with these in adolescents. Multivariate logistic regression analysis was used to determine predictors of poorer self-rated health status. RESULTS The dominant pattern of bowel motions was passage of stool that was "not too hard and not too soft" (Bristol stool types 3 and 4) in 90% and occurring between three and seven times per week in 74%. The most prevalent gastrointestinal symptoms included abdominal bloating (72%), abdominal pain (36%), nausea (25%), and constipation (20%). A "Western" dietary pattern was associated with abdominal bloating, constipation, and nausea (P < 0.05). Apart from diarrhea, gastrointestinal symptoms were more prevalent in female adolescents than male adolescents (P < 0.05 for all). Female sex (odds ratio [OR] 1.87, 95% confidence interval [CI] 1.16-3.02, P = 0.01), nausea (OR 3.18, 95% CI 2.03-4.98, P < 0.001), and depression (OR 6.68, 95% CI 3.65-12.22, P = 0.03) were independently associated with poorer self-rated health status, after adjusting for other gastrointestinal symptoms. CONCLUSIONS In adolescents, bowel patterns and gastrointestinal symptoms are diverse and show sex differences. Nausea, depression, and female sex are significant factors for poorer self-rated health.
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Affiliation(s)
- Oyekoya T Ayonrinde
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Perth, Western Australia, Australia.,Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Faculty of Health Sciences, Curtin University, Bentley, Western Australia
| | - Frank M Sanfilippo
- School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Therese A O'Sullivan
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Leon A Adams
- Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Department of Hepatology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Oyedeji A Ayonrinde
- Department of Psychiatry, Queens University, Kingston, Ontario, Canada.,Kingston Health Sciences Centre, Hotel Dieu Hospital, Kingston, Ontario, Canada
| | - Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - John K Olynyk
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Perth, Western Australia, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
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32
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Zabetian-Targhi F, Srikanth VK, Smith KJ, Oddy WH, Beare R, Moran C, Wang W, Callisaya ML. Dietary Patterns Are Not Associated with Brain Atrophy or Cerebral Small Vessel Disease in Older Adults with and without Type 2 Diabetes. J Nutr 2019; 149:1805-1811. [PMID: 31254348 DOI: 10.1093/jn/nxz139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 04/23/2019] [Accepted: 05/27/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Unhealthy dietary patterns (DPs) are associated with poorer cognition, but few studies have investigated the underlying brain structural mechanisms. OBJECTIVE We aimed to examine the relations between DPs, brain structure, and cognition in older people with and without type 2 diabetes. METHODS This cross-sectional study consisted of a sample of people with (n = 343) and without type 2 diabetes (n = 346) aged 55-90 y. The 80-item Cancer Council of Victoria FFQ was used to assess dietary intake. Two DPs (prudent and traditional) for people with type 2 diabetes and 3 DPs (prudent, traditional, and Western) for those without type 2 diabetes were derived using principal component analysis. Neuropsychological tests assessed 6 cognitive domains. Brain MRI was performed to obtain gray, white matter, and hippocampal volumes and markers of small vessel disease (microbleeds, infarcts, and white matter hyperintensities). Multivariable linear regression was used to assess the cross-sectional associations between DPs, brain MRI, and cognitive variables. RESULTS For those without type 2 diabetes, higher adherence to the Western DP was associated with lower gray matter volume (β = -3.03 95% CI: -5.67, -0.38; P = 0.03). The addition of a cardiovascular risk score, mood, and physical activity weakened associations such that they were no longer significant (β = -1.97 (95% CI: -4.68, 0.74) P = 0.15) for the Western DP. There were no significant associations for the other DPs in people with and without type 2 diabetes. CONCLUSIONS In this cross-sectional study, DPs were not independently associated with brain structure in people with or without type 2 diabetes. Future prospective studies are needed to clarify the role of vascular risk factors on associations between DPs and brain health.
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Affiliation(s)
- Fateme Zabetian-Targhi
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Velandai K Srikanth
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Department of Medicine, Peninsula Health, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Kylie J Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Richard Beare
- Department of Medicine, Peninsula Health, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.,Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Chris Moran
- Department of Medicine, Peninsula Health, Monash University, Melbourne, Victoria, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.,Department of Aged Care, Alfred Health, Melbourne, Victoria, Australia
| | - Wei Wang
- Department of Medicine, Peninsula Health, Monash University, Melbourne, Victoria, Australia
| | - Michele L Callisaya
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
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Rauschert S, Melton PE, Burdge G, Craig JM, Godfrey KM, Holbrook JD, Lillycrop K, Mori TA, Beilin LJ, Oddy WH, Pennell C, Huang RC. Maternal Smoking During Pregnancy Induces Persistent Epigenetic Changes Into Adolescence, Independent of Postnatal Smoke Exposure and Is Associated With Cardiometabolic Risk. Front Genet 2019; 10:770. [PMID: 31616461 PMCID: PMC6764289 DOI: 10.3389/fgene.2019.00770] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 07/22/2019] [Indexed: 12/16/2022] Open
Abstract
Background: Several studies have shown effects of current and maternal smoking during pregnancy on DNA methylation of CpG sites in newborns and later in life. Here, we hypothesized that there are long-term and persistent epigenetic effects following maternal smoking during pregnancy on adolescent offspring DNA methylation, independent of paternal and postnatal smoke exposure. Furthermore, we explored the association between DNA methylation and cardiometabolic risk factors at 17 years of age. Materials and Methods: DNA methylation was measured using the Illumina HumanMethylation450K BeadChip in whole blood from 995 participants attending the 17-year follow-up of the Raine Study. Linear mixed effects models were used to identify differential methylated CpGs, adjusting for parental smoking during pregnancy, and paternal, passive, and adolescent smoke exposure. Additional models examined the association between DNA methylation and paternal, adolescent, and passive smoking over the life course. Offspring CpGs identified were analyzed against cardiometabolic risk factors (blood pressure, triacylglycerols (TG), high-density lipoproteins cholesterol (HDL-C), and body mass index). Results: We identified 23 CpGs (genome-wide p level: 1.06 × 10-7) that were associated with maternal smoking during pregnancy, including associated genes AHRR (cancer development), FTO (obesity), CNTNAP2 (developmental processes), CYP1A1 (detoxification), MYO1G (cell signalling), and FRMD4A (nicotine dependence). A sensitivity analysis showed a dose-dependent relationship between maternal smoking and offspring methylation. These results changed little following adjustment for paternal, passive, or offspring smoking, and there were no CpGs identified that associated with these variables. Two of the 23 identified CpGs [cg00253568 (FTO) and cg00213123 (CYP1A1)] were associated with either TG (male and female), diastolic blood pressure (female only), or HDL-C (male only), after Bonferroni correction. Discussion: This study demonstrates a critical timing of cigarette smoke exposure over the life course for establishing persistent changes in DNA methylation into adolescence in a dose-dependent manner. There were significant associations between offspring CpG methylation and adolescent cardiovascular risk factors, namely, TG, HDL-C, and diastolic blood pressure. Future studies on current smoking habits and DNA methylation should consider the importance of maternal smoking during pregnancy and explore how the persistent DNA methylation effects of in utero smoke exposure increase cardiometabolic risk.
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Affiliation(s)
- Sebastian Rauschert
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
| | - Phillip E. Melton
- Centre for Genetic Origins of Health and Disease, The University of Western Australia and Curtin University, Perth, WA, Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Bentley, WA, Australia
| | - Graham Burdge
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Jeffrey M. Craig
- Early Life Epigenetics Group, MCRI, Royal Children’s Hospital, Flemington Road, Parkville, VIC, Australia
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Keith M. Godfrey
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Joanna D. Holbrook
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Karen Lillycrop
- Centre for Biological Sciences, Faculty of Natural and Environmental Sciences, University of Southampton, Southampton, United Kingdom
| | - Trevor A. Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Wendy H. Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | | | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
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Zabetiantarghi F, Srikanth VK, Smith KJ, Oddy WH, Beare R, Moran C, Wang W, Breslin M, Callisaya ML. O3-05-03: THE RELATIONSHIP BETWEEN ADHERENCE TO AUSTRALIAN DIETARY GUIDELINES AND BRAIN HEALTH IN OLDER PEOPLE WITH AND WITHOUT TYPE 2 DIABETES. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | - Velandai K. Srikanth
- Peninsula Clinical School, Central Clinical School; Monash University; Melbourne Australia
| | | | | | | | | | - Wei Wang
- Peninsula Health; Melbourne Australia
| | | | - Michele L. Callisaya
- Menzies Institute for Medical Research; University of Tasmania; Hobart Australia
- Peninsula Health; Melbourne Australia
- Monash University; Melbourne Australia
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Huang RC, Lillycrop KA, Beilin LJ, Godfrey KM, Anderson D, Mori TA, Rauschert S, Craig JM, Oddy WH, Ayonrinde OT, Pennell CE, Holbrook JD, Melton PE. Epigenetic Age Acceleration in Adolescence Associates With BMI, Inflammation, and Risk Score for Middle Age Cardiovascular Disease. J Clin Endocrinol Metab 2019; 104:3012-3024. [PMID: 30785999 PMCID: PMC6555851 DOI: 10.1210/jc.2018-02076] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 02/15/2019] [Indexed: 12/13/2022]
Abstract
CONTEXT "Accelerated aging," assessed by adult DNA methylation, predicts cardiovascular disease (CVD). Adolescent accelerated aging might predict CVD earlier. We investigated whether epigenetic age acceleration (assessed age, 17 years) was associated with adiposity/CVD risk measured (ages 17, 20, and 22 years) and projected CVD by middle age. DESIGN DNA methylation measured in peripheral blood provided two estimates of epigenetic age acceleration: intrinsic (IEAA; preserved across cell types) and extrinsic (EEAA; dependent on cell admixture and methylation levels within each cell type). Adiposity was assessed by anthropometry, ultrasound, and dual-energy x-ray absorptiometry (ages 17, 20, and 22 years). CVD risk factors [lipids, homeostatic model assessment of insulin resistance (HOMA-IR), blood pressure, inflammatory markers] were assessed at age 17 years. CVD development by age 47 years was calculated by Framingham algorithms. Results are presented as regression coefficients per 5-year epigenetic age acceleration (IEAA/EEAA) for adiposity, CVD risk factors, and CVD development. RESULTS In 995 participants (49.6% female; age, 17.3 ± 0.6 years), EEAA (per 5 years) was associated with increased body mass index (BMI) of 2.4% (95% CI, 1.2% to 3.6%) and 2.4% (0.8% to 3.9%) at 17 and 22 years, respectively. EEAA was associated with increases of 23% (3% to 33%) in high-sensitivity C-reactive protein, 10% (4% to 17%) in interferon-γ-inducible protein of 10 kDa, and 4% (2% to 6%) in soluble TNF receptor 2, adjusted for BMI and HOMA-IR. EEAA (per 5 years) results in a 4% increase in hard endpoints of CVD by 47 years of age and a 3% increase, after adjustment for conventional risk factors. CONCLUSIONS Accelerated epigenetic age in adolescence was associated with inflammation, BMI measured 5 years later, and probability of middle age CVD. Irrespective of whether this is cause or effect, assessing epigenetic age might refine disease prediction.
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Affiliation(s)
- Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia
- Correspondence and Reprint Requests: Rae-Chi Huang, MBBS, FRACP, PhD, Telethon Kids Institute, 15 Hospital Avenue, Nedlands, Western Australia 6009, Australia. E-mail:
| | | | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, Western Australia Australia
| | - Keith M Godfrey
- Medical School, University of Western Australia, Perth, Western Australia Australia
| | - Denise Anderson
- Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Western Australia Australia
| | - Sebastian Rauschert
- Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia
| | - Jeffrey M Craig
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Victoria, Australia
- Environmental and Genetic Epidemiology Research, Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Oyekoya T Ayonrinde
- Medical School, University of Western Australia, Perth, Western Australia Australia
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Callaghan, New South Wales, Australia
| | | | - Phillip E Melton
- Curtin/UWA Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Western Australia, Australia
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36
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Hynes KL, Otahal P, Burgess JR, Oddy WH, Hay I. Correction: Hynes et al. "Reduced Educational Outcomes Persist into Adolescence Following Mild Iodine Deficiency in Utero, Despite Adequacy in Childhood: 15-Year Follow-Up of the Gestational Iodine Cohort Investigating Auditory Processing Speed and Working Memory" Nutrients 2017, 9 (12), 1354. Nutrients 2019; 11:nu11061272. [PMID: 31195606 PMCID: PMC6628325 DOI: 10.3390/nu11061272] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 04/10/2019] [Indexed: 11/16/2022] Open
Affiliation(s)
- Kristen L Hynes
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - John R Burgess
- Department of Endocrinology, Royal Hobart Hospital, 48 Liverpool Street, Hobart, TAS 7000, Australia.
- School of Medicine, University of Tasmania, 17 Liverpool Street, Hobart, TAS 7000, Australia.
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - Ian Hay
- Faculty of Education, University of Tasmania, Locked Bag 1307, Launceston, TAS 7250, Australia.
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Khaleva E, Gridneva Z, Geddes DT, Oddy WH, Colicino S, Blyuss O, Boyle RJ, Warner JO, Munblit D. Transforming growth factor beta in human milk and allergic outcomes in children: A systematic review. Clin Exp Allergy 2019; 49:1201-1213. [PMID: 31058363 DOI: 10.1111/cea.13409] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/25/2019] [Accepted: 04/20/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Human milk (HM) transforming growth factor beta (TGF-β) is critical for inflammation regulation and oral tolerance promotion. Previous reports suggested that variations in HM TGF-β levels are associated with allergic outcomes. OBJECTIVE We undertook a systematic review (PROSPERO 2017 CRD42017069920) to reassess the evidence on the relationships between HM TGF-β and allergic outcomes in children. METHODS Electronic bibliographic databases (MEDLINE, EMBASE and Cochrane Library) were systematically searched. Two independent reviewers screened reference lists, extracted the data and assessed risk of bias using the National Institute for Clinical Excellence methodological checklist. RESULTS A total of 21 studies were identified. Sixteen studies assessed relationships between HM TGF-β and risk of eczema; 14, allergic sensitization; nine, wheezing/asthma; six, food allergy; three, allergic rhinitis/conjunctivitis. Five cohorts (5/18, 28%) reported a protective effect of TGF-β1, while 3 (3/10, 30%) suggested increased risk of allergic outcomes development and 1 (1/10, 10%), a protective effect of TGF-β2 on eczema. Meta-analysis was not possible due to significant heterogeneity in methodology, age of outcome assessment and differing statistical approaches. 71% (15/21) of studies carried a high risk of bias. CONCLUSION AND CLINICAL RELEVANCE In contrast with previous findings, we did not find strong evidence of associations between HM TGF-β and allergic outcomes. Differences in studies' methodology and outcomes do not allow unconditional rejection or acceptance of the hypothesis that HM TGF-β influences the risk of allergy development. Future studies on diverse populations employing standardized methods, accurate phenotyping of outcomes and evaluation of the effect of TGF-β in combination with other HM immune markers, microbiome and oligosaccharides are required.
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Affiliation(s)
- Ekaterina Khaleva
- University of Southampton, Southampton, UK.,inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey
| | - Zoya Gridneva
- inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey.,School of Molecular Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Donna T Geddes
- inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey.,School of Molecular Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Wendy H Oddy
- Nutritional Epidemiology, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Silvia Colicino
- The National Heart and Lung Institute, Imperial College London, London, UK
| | - Oleg Blyuss
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.,Department of Applied Mathematics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.,Department of Pediatrics, Faculty of Pediatrics, Sechenov University, Moscow, Russia
| | - Robert J Boyle
- inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey.,Department of Paediatrics, Imperial College London, London, UK.,Centre of Evidence-based Dermatology, University of Nottingham, Nottingham, UK
| | - John O Warner
- inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey.,Department of Paediatrics, Imperial College London, London, UK.,Paediatrics and NIHR Collaboration for Leadership in Applied Health Research and Care for NW London, London, UK
| | - Daniel Munblit
- inVIVO Planetary Health, Research Group of the Worldwide Universities Network, West New York, New Jersey.,Department of Pediatrics, Faculty of Pediatrics, Sechenov University, Moscow, Russia.,Department of Paediatrics, Imperial College London, London, UK.,Healthcare Department of Moscow, Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia
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Ambrosini GL, Appannah G, Murray K, Trapp G, Oddy WH. Do dietary patterns track from adolescence into adulthood? Obes Res Clin Pract 2019. [DOI: 10.1016/j.orcp.2018.11.075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Wilson JE, Blizzard L, Gall SL, Magnussen CG, Oddy WH, Dwyer T, Venn AJ, Smith KJ. An age- and sex-specific dietary guidelines index is a valid measure of diet quality in an Australian cohort during youth and adulthood. Nutr Res 2019; 65:43-53. [DOI: 10.1016/j.nutres.2019.01.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 01/24/2019] [Accepted: 01/25/2019] [Indexed: 10/27/2022]
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Ognjenovic M, Ambrosini GL, Malacova E, Doherty DA, Oddy WH, Handelsman DJ, McLachlan R, Dickinson J, Hart RJ. Associations between major dietary patterns and testicular function in a population-based cohort of young men: results from the Western Australian Pregnancy Cohort (Raine) Study. Andrology 2019; 7:273-280. [PMID: 30854803 DOI: 10.1111/andr.12598] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 01/23/2019] [Accepted: 01/24/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Controversial speculation suggestions that dietary intake may affect semen quality and testicular function, however, there are limited comprehensive studies observing dietary patterns. OBJECTIVE To study associations between major dietary patterns and markers of testicular function in adulthood. MATERIAL AND METHODS Observational cross-sectional study of two hundred and ninety men with an average age of 20 years, from the Western Australian Pregnancy Cohort (Raine) Study. Usual dietary intake assessed using a semi-quantitative food frequency questionnaire at 20 years of age. Two dietary patterns previously identified using exploratory factor analysis ("Healthy" or "Western") and participants received z-scores for each dietary pattern. Primary endpoints were testicular volume, total sperm per ejaculate, morning serum testosterone concentration. Secondary endpoints were semen sample parameters, inhibin B and sex steroids (DHT: 3α-diol, 3β-diol; LH; FSH; DHEA; estradiol; estrone). RESULT(S) Participants were on average 20.0 ± 0.4 years old, had a median of 2 days sexual abstinence and a body mass index of 24.1 ± 3.9 kg/m2 , 13% were smokers, 52% were 'moderate' alcohol drinkers, 23% frequently used recreational drugs and 68% reported 'high' physical activity levels. Sperm concentration and DHT 3α-diol were negatively associated with a greater z-score for the "Western" dietary pattern (p = 0.007 and; p = 0.044, respectively), and serum estradiol concentration was positively associated with a "Western" dietary pattern (p = 0.007) after adjustment for BMI, varicocele, cryptorchidism and sexual abstinence. DISCUSSION Despite associations between greater intake of the "Western" dietary pattern and a decreased male reproductive health markers, our lack of consistent associations of either a "Healthy" or a "Western" dietary pattern, limit clinical or biological significance in isolation. CONCLUSIONS A potential negative association of a "Western" dietary pattern with male reproductive health was detected and should be studied further in population-based studies.
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Affiliation(s)
- M Ognjenovic
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
| | - G L Ambrosini
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.,Telethon Kids Institute, Perth, WA, Australia
| | - E Malacova
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia.,School of Public Health, Curtin University, Perth, WA, Australia
| | - D A Doherty
- Women and Infants Research Foundation, King Edward Memorial Hospital, Perth, WA, Australia.,Division of Obstetrics & Gynaecology, The University of Western Australia, Perth, WA, Australia
| | - W H Oddy
- Menzies Institute for Medical Research, The University of Tasmania, Hobart, TAS, Australia
| | - D J Handelsman
- ANZAC Research Institute, Concord Hospital, University of Sydney, Concord, NSW, Australia
| | - R McLachlan
- Hudson Institute of Medical Research, Monash Medical Centre, Melbourne, VIC, Australia
| | - J Dickinson
- Division of Obstetrics & Gynaecology, The University of Western Australia, Perth, WA, Australia
| | - R J Hart
- Division of Obstetrics & Gynaecology, The University of Western Australia, Perth, WA, Australia.,Fertility Specialists of Western Australia, Bethesda Hospital, Claremont, WA, Australia
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Cervo MM, Shivappa N, Hebert JR, Oddy WH, Winzenberg T, Balogun S, Wu F, Ebeling P, Aitken D, Jones G, Scott D. Longitudinal associations between dietary inflammatory index and musculoskeletal health in community-dwelling older adults. Clin Nutr 2019; 39:516-523. [PMID: 30852031 DOI: 10.1016/j.clnu.2019.02.031] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 02/06/2019] [Accepted: 02/17/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND & AIMS Aging is characterized by progressive decline in physiologic reserves and functions as well as prolonged inflammation, increasing susceptibility to disease. Diet plays an important role in maintaining health, and reducing morbidity and mortality, especially in older populations. This study was designed to determine prospective associations between dietary inflammatory index (DII®) scores and bone health, sarcopenia-related outcomes, falls risk and incident fractures in community-dwelling Australian older adults. METHODS A total of 1098 [51% male; age (mean ± SD) 63.0 ± 7.5 years] non-institutionalized older adults who participated in the Tasmanian Older Adult Cohort Study (TASOAC) at baseline, 768 at 5 years, and 566 at 10 years follow-up were included in this analysis. Baseline energy-adjusted DII (E-DII) scores were calculated using a validated Food Frequency Questionnaire. Changes in bone mineral density (BMD) and appendicular lean mass (ALM) were measured over ten years using dual-energy x-ray absorptiometry. Ten-year changes in hand grip, knee extensor and whole lower-limb muscle strength and quality were assessed by dynamometers and change in falls risk score using the Physical Profile Assessment (PPA). Incident fractures at any site and non-vertebral fractures over 10 years were self-reported. RESULTS The E-DII range was -3.48 to +3.23 in men and -3.80 to +2.74 in women. Higher E-DII score (indicating a more pro-inflammatory diet) was associated with lower total hip (B: -0.009; 95% CI: -0.017, 0.000) and lumbar spine BMD (B: -0.013; 95% CI: -0.024, -0.002), and higher falls risk score (B: 0.040; 95% CI: 0.002, 0.078) over 10 years in men. Women with higher E-DII scores had higher whole lower-limb muscle quality over 10 years (B: 0.109; 95% CI: 0.002, 0.215). For every unit increase in E-DII score, incident fracture rates increased by 9.0% in men (IRR: 1.090; 95% CI: 1.011, 1.175) and decreased by 12.2% in women (IRR: 0.878; 95% CI: 0.800, 0.964) in a fully adjusted model. CONCLUSION Higher E-DII scores were associated with lower bone density, higher falls risk, and increased incidence of fractures in community-dwelling older men, but decreased fracture incidence in women, over 10 years. This suggests pro-inflammatory diets may be more detrimental to musculoskeletal health in older men than in women. Additional studies are warranted to elucidate these sex differences.
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Affiliation(s)
- Mavil May Cervo
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
| | - Nitin Shivappa
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - James R Hebert
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Tania Winzenberg
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Faculty of Health, University of Tasmania, Hobart, Tasmania, Australia
| | - Saliu Balogun
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Peter Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; Australian Institute for Musculoskeletal Science, Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Australian Institute for Musculoskeletal Science, Department of Medicine - Western Health, The University of Melbourne, St Albans, Victoria, Australia
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Zhu K, Oddy WH, Holt P, Ping-Delfos WCS, McVeigh J, Straker L, Mori TA, Lye S, Pennell C, Walsh JP. Relationship Between Vitamin D Status From Childhood to Early Adulthood With Body Composition in Young Australian Adults. J Endocr Soc 2019; 3:563-576. [PMID: 30805568 PMCID: PMC6382407 DOI: 10.1210/js.2018-00349] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 01/16/2019] [Indexed: 02/08/2023] Open
Abstract
Context Vitamin D plays a role in the differentiation and metabolism of skeletal muscle and, possibly, adipose tissue; however, the relationship between vitamin D status during growth and body composition in early adulthood is unclear. Objective We examined associations between vitamin D status in childhood, adolescence, and early adulthood with body composition at age 20 years. Design, Setting, Participants We studied 821 offspring (385 females) of the Western Australian Pregnancy Cohort Study who had ≥3 serum 25-hydroxyvitamin D [25(OH)D] at age 6, 14, 17, and 20 years and body composition assessed at age 20 using dual-energy x-ray absorptiometry. The participants were grouped into four vitamin D status trajectories: consistently lower, decreasing, increasing, and consistently higher. Results The mean serum 25(OH)D at the study visits was 72.7 to 86.8 nmol/L. In males, serum 25(OH)D at 17 and 20 years was positively associated with lean body mass (LBM), and 25(OH)D at age 20 correlated negatively with fat body mass (FBM). Males with a consistently higher 25(OH)D trajectory had a 2.3- to 3.7-kg greater LBM and 4.1- to 6.0-kg lower FBM at 20 years compared with those with consistently lower or decreasing trajectories (P < 0.05 for all). In females, 25(OH)D at 14, 17, and 20 years was negatively associated with FBM. Females with increasing or consistently higher 25(OH)D trajectories had a 5.2- to 6.8-kg lower FBM at age 20 compared with those with a consistently lower trajectory (P < 0.05 for all). Conclusions In the present predominantly white, relatively vitamin D-replete cohort, a higher vitamin D status trajectory from childhood to early adulthood was associated with a greater LBM in males and lower FBM in both sexes at age 20.
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Affiliation(s)
- Kun Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.,Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Patrick Holt
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Wendy Chan She Ping-Delfos
- General Practice and Primary Health Care Research Unit, School of Medicine (Fremantle), University of Notre Dame, Perth, Western Australia, Australia
| | - Joanne McVeigh
- School of Occupational Therapy and Social Work, Curtin University, Perth, Western Australia, Australia.,Movement Physiology Laboratory, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
| | - Leon Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, Western Australia, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Stephen Lye
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Craig Pennell
- School of Women's and Infants' Health, University of Western Australia, Perth, Western Australia, Australia
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.,Medical School, University of Western Australia, Perth, Western Australia, Australia
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He Y, Tian J, Oddy WH, Dwyer T, Venn AJ. Association of childhood obesity with female infertility in adulthood: a 25-year follow-up study. Fertil Steril 2018; 110:596-604.e1. [DOI: 10.1016/j.fertnstert.2018.05.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/24/2018] [Accepted: 05/10/2018] [Indexed: 11/26/2022]
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Smith CE, Follis JL, Dashti HS, Tanaka T, Graff M, Fretts AM, Kilpeläinen TO, Wojczynski MK, Richardson K, Nalls MA, Schulz CA, Liu Y, Frazier-Wood AC, van Eekelen E, Wang C, de Vries PS, Mikkilä V, Rohde R, Psaty BM, Hansen T, Feitosa MF, Lai CQ, Houston DK, Ferruci L, Ericson U, Wang Z, de Mutsert R, Oddy WH, de Jonge EAL, Seppälä I, Justice AE, Lemaitre RN, Sørensen TIA, Province MA, Parnell LD, Garcia ME, Bandinelli S, Orho-Melander M, Rich SS, Rosendaal FR, Pennell CE, Kiefte-de Jong JC, Kähönen M, Young KL, Pedersen O, Aslibekyan S, Rotter JI, Mook-Kanamori DO, Zillikens MC, Raitakari OT, North KE, Overvad K, Arnett DK, Hofman A, Lehtimäki T, Tjønneland A, Uitterlinden AG, Rivadeneira F, Franco OH, German JB, Siscovick DS, Cupples LA, Ordovás JM. Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent. Mol Nutr Food Res 2018; 62:10.1002/mnfr.201700347. [PMID: 28941034 PMCID: PMC5803424 DOI: 10.1002/mnfr.201700347] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 07/28/2017] [Indexed: 11/10/2022]
Abstract
SCOPE Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption. METHODS AND RESULTS A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction <10-7) , and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3' of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 × 10-8) such that each serving of low-fat dairy was associated with 0.225 kg m-2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure. CONCLUSION Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.
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Affiliation(s)
- Caren E Smith
- Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | | | - Hassan S Dashti
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Kris Richardson
- Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
- Contractor/consultant with Kelly Services, Rockville, MD, USA
| | | | - Yongmei Liu
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Alexis C Frazier-Wood
- USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA
| | - Esther van Eekelen
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Carol Wang
- School of Women's and Infants' Health, University of Western Australia, Perth, Australia
| | - Paul S de Vries
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Vera Mikkilä
- Division of Nutrition, Department of Food and Environmental Sciences, University of Helsinki, Helsinki
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Rebecca Rohde
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Bruce M Psaty
- Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark
| | - Mary F Feitosa
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Chao-Qiang Lai
- USDA ARS, Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Denise K Houston
- Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Luigi Ferruci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Ulrika Ericson
- LUDC, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Zhe Wang
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Ester A L de Jonge
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere University School of Medicine, Tampere, Finland
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, 2000, Denmark
- MRC Integrative Epidemiology Unit & School of Social and community Medicine, University of Bristol, Bristol, BS82BN, UK
| | - Michael A Province
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Laurence D Parnell
- USDA ARS, Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | | | | | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Craig E Pennell
- School of Women's and Infants' Health, University of Western Australia, Perth, Australia
| | | | - Mika Kähönen
- Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, University of Turku, Turku, Finland
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, DK-8000, Aarhus C, Denmark
- Aalborg University Hospital, DK-9000, Aalborg, Denmark
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Nutrition, Harvard School of Public Health, Boston, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere University School of Medicine, Tampere, Finland
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, 2100, Denmark
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - J Bruce German
- Department of Food Science and Technology, University of California, Davis, CA, USA
| | | | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - José M Ordovás
- Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA
- The Department of Epidemiology and Population Genetics, Centro Nacional Investigación Cardiovasculares (CNIC) Madrid, Spain
- IMDEA Food, Madrid, Spain
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McKeown NM, Dashti HS, Ma J, Haslam DE, Kiefte-de Jong JC, Smith CE, Tanaka T, Graff M, Lemaitre RN, Rybin D, Sonestedt E, Frazier-Wood AC, Mook-Kanamori DO, Li Y, Wang CA, Leermakers ETM, Mikkilä V, Young KL, Mukamal KJ, Cupples LA, Schulz CA, Chen TA, Li-Gao R, Huang T, Oddy WH, Raitakari O, Rice K, Meigs JB, Ericson U, Steffen LM, Rosendaal FR, Hofman A, Kähönen M, Psaty BM, Brunkwall L, Uitterlinden AG, Viikari J, Siscovick DS, Seppälä I, North KE, Mozaffarian D, Dupuis J, Orho-Melander M, Rich SS, de Mutsert R, Qi L, Pennell CE, Franco OH, Lehtimäki T, Herman MA. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia 2018; 61:317-330. [PMID: 29098321 PMCID: PMC5826559 DOI: 10.1007/s00125-017-4475-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 08/29/2017] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS Sugar-sweetened beverages (SSBs) are a major dietary contributor to fructose intake. A molecular pathway involving the carbohydrate responsive element-binding protein (ChREBP) and the metabolic hormone fibroblast growth factor 21 (FGF21) may influence sugar metabolism and, thereby, contribute to fructose-induced metabolic disease. We hypothesise that common variants in 11 genes involved in fructose metabolism and the ChREBP-FGF21 pathway may interact with SSB intake to exacerbate positive associations between higher SSB intake and glycaemic traits. METHODS Data from 11 cohorts (six discovery and five replication) in the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided association and interaction results from 34,748 adults of European descent. SSB intake (soft drinks, fruit punches, lemonades or other fruit drinks) was derived from food-frequency questionnaires and food diaries. In fixed-effects meta-analyses, we quantified: (1) the associations between SSBs and glycaemic traits (fasting glucose and fasting insulin); and (2) the interactions between SSBs and 18 independent SNPs related to the ChREBP-FGF21 pathway. RESULTS In our combined meta-analyses of discovery and replication cohorts, after adjustment for age, sex, energy intake, BMI and other dietary covariates, each additional serving of SSB intake was associated with higher fasting glucose (β ± SE 0.014 ± 0.004 [mmol/l], p = 1.5 × 10-3) and higher fasting insulin (0.030 ± 0.005 [log e pmol/l], p = 2.0 × 10-10). No significant interactions on glycaemic traits were observed between SSB intake and selected SNPs. While a suggestive interaction was observed in the discovery cohorts with a SNP (rs1542423) in the β-Klotho (KLB) locus on fasting insulin (0.030 ± 0.011 log e pmol/l, uncorrected p = 0.006), results in the replication cohorts and combined meta-analyses were non-significant. CONCLUSIONS/INTERPRETATION In this large meta-analysis, we observed that SSB intake was associated with higher fasting glucose and insulin. Although a suggestive interaction with a genetic variant in the ChREBP-FGF21 pathway was observed in the discovery cohorts, this observation was not confirmed in the replication analysis. TRIAL REGISTRATION Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005121 (Framingham Offspring Study), NCT00005487 (Multi-Ethnic Study of Atherosclerosis) and NCT00005152 (Nurses' Health Study).
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Affiliation(s)
- Nicola M McKeown
- Nutritional Epidemiology Program, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA, 02111, USA.
| | - Hassan S Dashti
- Nutrition & Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
| | - Jiantao Ma
- National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA
| | - Danielle E Haslam
- Nutritional Epidemiology Program, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA, 02111, USA
| | - Jessica C Kiefte-de Jong
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Global Public Health, Leiden University College, The Hague, the Netherlands
| | - Caren E Smith
- Nutrition & Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | | | - Denis Rybin
- Boston University Data Coordinating Center, Boston University, Boston, MA, USA
| | - Emily Sonestedt
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Alexis C Frazier-Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Yanping Li
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Carol A Wang
- School of Women's and Infants' Health, The University of Western Australia, Crawley, WA, Australia
| | | | - Vera Mikkilä
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Kenneth J Mukamal
- Division of General Medicine and Primary Care, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - L Adrienne Cupples
- National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | - Tzu-An Chen
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Tao Huang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Wendy H Oddy
- Telethon Kids Institute, Subiaco, WA, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - James B Meigs
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ulrika Ericson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - Louise Brunkwall
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Jorma Viikari
- Department of Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | | | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Josée Dupuis
- National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lu Qi
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Craig E Pennell
- School of Women's and Infants' Health, The University of Western Australia, Crawley, WA, Australia
| | - Oscar H Franco
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Terho Lehtimäki
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Mark A Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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46
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Hynes KL, Otahal P, Burgess JR, Oddy WH, Hay I. Reduced Educational Outcomes Persist into Adolescence Following Mild Iodine Deficiency in Utero, Despite Adequacy in Childhood: 15-Year Follow-Up of the Gestational Iodine Cohort Investigating Auditory Processing Speed and Working Memory. Nutrients 2017; 9:E1354. [PMID: 29236073 PMCID: PMC5748804 DOI: 10.3390/nu9121354] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 12/01/2017] [Accepted: 12/09/2017] [Indexed: 01/16/2023] Open
Abstract
There is increasing evidence that even mild gestational iodine deficiency (GID) results in adverse neurocognitive impacts on offspring. It's unclear, however, if these persist long-term and whether they can be ameliorated by iodine sufficiency in childhood. We followed a unique cohort (Gestational Iodine Cohort, n = 266) where gestation occurred during a period of mild population iodine deficiency, with children subsequently growing-up in an iodine replete environment. We investigated whether associations between mild GID and reductions in literacy outcomes, observed at age 9-years, persisted into adolescence. Comparisons were made between offspring of mothers with gestational urinary iodine concentrations (UICs) ≥ 150 μg/L and < 150 μg/L. Educational outcomes were measured using Australian National Assessment Program-Literacy and Numeracy (NAPLAN) tests. Children whose mothers had UICs < 150 μg/L exhibited persistent reductions in spelling from Year 3 (10%, -41.4 points (95% Confidence Interval -65.1 to -17.6, p = 0.001)) to Year 9 (5.6%, -31.6 (-57.0 to -6.2, p = 0.015)) compared to children whose mothers had UICs ≥ 150 μg/L. Associations remained after adjustment for biological factors, socioeconomic status and adolescent UIC. Results support the hypothesis that mild GID may impact working memory and auditory processing speed. The findings have important public health implications for management of iodine nutrition in pregnancy.
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Affiliation(s)
- Kristen L Hynes
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - Petr Otahal
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - John R Burgess
- Department of Endocrinology, Royal Hobart Hospital, 48 Liverpool Street, Hobart, TAS 7000, Australia.
- School of Medicine, University of Tasmania, 17 Liverpool Street, Hobart, TAS 7000, Australia.
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Private Bag 23, Hobart, TAS 7001, Australia.
| | - Ian Hay
- Faculty of Education, University of Tasmania, Locked Bag 1307, Launceston, TAS 7250, Australia.
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47
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Demmer DL, Beilin LJ, Hands B, Burrows S, Cox KL, Oddy WH, Mori TA. Fatness and Fitness With Cardiometabolic Risk Factors in Adolescents. J Clin Endocrinol Metab 2017; 102:4467-4476. [PMID: 29088412 PMCID: PMC5718692 DOI: 10.1210/jc.2017-00851] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 09/13/2017] [Indexed: 12/18/2022]
Abstract
CONTEXT The relative importance of fitness and fatness with cardiometabolic risk factors is uncertain during the crucial developmental stage of late adolescence. OBJECTIVE We aimed to compare the concurrent influences of cardiorespiratory fitness and fatness in relationship to cardiometabolic risk factors in adolescents from the Western Australian Pregnancy Cohort Study. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional analysis was performed on 1128 participants with complete blood pressure (BP) data and 963 participants with complete blood biochemistry at 17 years of age. Fatness (waist circumference) and cardiorespiratory fitness (physical work capacity 170) were assessed as continuous measures to avoid the use of arbitrary cut points. Analyses used linear regression models adjusted for sex and potential lifestyle confounders. MAIN OUTCOME MEASURE Cardiometabolic risk factors. RESULTS Fatness was positively associated with systolic BP (coefficient, 0.19; P < 0.001; β coefficient, 0.20), triglycerides (log coefficient, 0.009; P < 0.001; β coefficient, 0.24), low-density lipoprotein cholesterol (coefficient, 0.005; P = 0.007; β coefficient, 0.10), and high-sensitivity C-reactive protein (log coefficient, 0.05; P < 0.001; β coefficient, 0.35). There were no significant effects of fitness on any of these measures. A positive association between homeostasis model of assessment for insulin resistance and fatness (log coefficient, 0.02; P < 0.001; β coefficient, 0.33) was attenuated by fitness (log coefficient, -0.0.18; P < 0.001; β coefficient, -0.18). Fatness was inversely associated with high-density lipoprotein cholesterol (HDL-C) in both sexes (coefficient, -0.006; P < 0.001; β coefficient, -0.23), whereas fitness was positively associated with HDL-C only in females (coefficient, 0.08; P = 0.03; β coefficient, 0.15). CONCLUSIONS The adverse effects of central adiposity seen across a broad range of cardiometabolic risk factors were only partially ameliorated by fitness in this adolescent population.
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Affiliation(s)
- Denise L Demmer
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Australia
| | - Lawrence J Beilin
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Australia
| | - Beth Hands
- Institute for Health Research, University of Notre Dame Australia, Australia
| | - Sally Burrows
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Australia
| | - Kay L Cox
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Australia
| | - Wendy H Oddy
- The Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Trevor A Mori
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Australia
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48
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Appannah G, Pot GK, Oddy WH, Jebb SA, Ambrosini GL. Determinants of a dietary pattern linked with greater metabolic risk and its tracking during adolescence. J Hum Nutr Diet 2017; 31:218-227. [PMID: 28975676 DOI: 10.1111/jhn.12519] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Although growing evidence suggests that dietary patterns associated with noncommunicable diseases in adulthood may develop early in life, when these are established, as well as their determinants, remains unclear. METHODS We examined determinants and tracking of a dietary pattern (DP) associated with metabolic risk and its key food groups among 860 adolescents in the Western Australian Pregnancy (Raine) Cohort study. Food intake was reported using a food frequency questionnaire (FFQ) at 14 and 17 years. Z-scores for an 'energy-dense, high-fat, low-fibre' DP were estimated by applying reduced rank regression at both ages. Tracking was based on the predictive value (PV) of remaining in the DPZ-score or food intake quartile at 14 and 17 years. Early-life exposures included: maternal age; maternal pre-pregnancy body mass index; parent smoking status during pregnancy; and parent socio-economic position (SEP) at 14 and 17 years. Associations between the DPZ-scores, early-life factors and SEP were analysed using regression analysis. RESULTS Dietary tracking was strongest among boys with high DPZ-scores, high intakes of processed meat, low-fibre bread, crisps and savoury snacks (PV > 1) and the lowest intakes of vegetables, fruit and legumes. Lower maternal education (β = 0.09, P = 0.002 at 14 years; β = 0.14, P < 0.001 at 17 years) and lower maternal age at birth (β = 0.09, P = 0.003 at 14 years; β = 0.11, P = 0.004 at 17 years) were positively associated with higher DPZ-scores. CONCLUSIONS An energy-dense, high-fat, low-fibre dietary pattern tracks more strongly among adolescent boys who have high scores for this pattern at 14 years of age. These findings highlight target foods and population subgroups for early interventions aiming to improve dietary behaviours.
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Affiliation(s)
- G Appannah
- Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, University Putra Malaysia, Serdang, Malaysia.,Medical Research Council Human Nutrition Research, Cambridge, UK
| | - G K Pot
- Medical Research Council Human Nutrition Research, Cambridge, UK.,Diabetes and Nutritional Sciences Division, School of Medicine, King's College London, London, UK.,Faculty of Earth and Life Sciences, VU University Amsterdam, Amsterdam, The Netherlands
| | - W H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.,Telethon Kids Institute, Centre for Child Health Research, University of Western Australia, Perth, WA, Australia
| | - S A Jebb
- Medical Research Council Human Nutrition Research, Cambridge, UK.,Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK
| | - G L Ambrosini
- Medical Research Council Human Nutrition Research, Cambridge, UK.,Telethon Kids Institute, Centre for Child Health Research, University of Western Australia, Perth, WA, Australia.,School of Population Health, University of Western Australia, Perth, WA, Australia
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49
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Ayonrinde OT, Oddy WH, Adams LA, Mori TA, Beilin LJ, de Klerk N, Olynyk JK. Infant nutrition and maternal obesity influence the risk of non-alcoholic fatty liver disease in adolescents. J Hepatol 2017; 67:568-576. [PMID: 28619255 DOI: 10.1016/j.jhep.2017.03.029] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Revised: 03/23/2017] [Accepted: 03/29/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS The pathway to non-alcoholic fatty liver disease (NAFLD) in adolescents may have its origins in adiposity gains, nutrition and sedentary lifestyle established during childhood. There is inadequate knowledge regarding the associations between infant nutrition and subsequent NAFLD. We examined the association of maternal factors and infant nutrition, with the subsequent diagnosis of NAFLD in adolescents. METHODS Adolescents aged 17years in the Western Australian Pregnancy (Raine) Cohort study had fatty liver assessment using liver ultrasound. Prospectively recorded data on maternal pregnancy and infant feeding were examined against a NAFLD outcome during late adolescence. RESULTS NAFLD was diagnosed in 15.2% of the 1,170 adolescents examined. Ninety-four percent had been breastfed as infants. The duration of breastfeeding before starting supplementary milk was ⩾4months in 54.4% and ⩾6months in 40.6%. Breastfeeding without supplementary milk ⩾6months (adjusted odds ratio [OR]: 0.64; 95% confidence interval [CI]: 0.43-0.94, p=0.02), maternal pre-pregnancy obesity (adjusted OR: 2.29; 95% CI: 1.21-4.32, p=0.01) and adolescent obesity (adjusted OR: 9.08; 95% CI: 6.26-13.17, p<0.001) were associated with NAFLD independent of a Western dietary pattern at 17years of age. Adolescents with NAFLD who had been breastfed for ⩾6months had a less adverse metabolic profile compared with adolescents breastfed for <6months. Supplementary milk intake starting before 6months was associated with a higher prevalence and ultrasound severity of NAFLD compared with intake starting after 6months (17.7% vs. 11.2%, p=0.003 and 7.8% vs. 3.4%, p=0.005 respectively). CONCLUSION Though NAFLD is generally mediated through adiposity gains, breastfeeding for at least 6months, avoidance of early supplementary formula milk feeding, and normal maternal pre-pregnancy BMI may reduce the odds of a NAFLD diagnosis during adolescence. LAY SUMMARY Non-alcoholic fatty liver disease (NAFLD) is a common liver disorder in which there is too much fat in the liver of people who do not consume excessive amounts of alcohol. In this large study, we found that infants who consumed breast milk for less than 6months before starting infant formula milk, infants who were obese as teenagers or had mothers who were obese at the start of pregnancy, were much more likely to have NAFLD at 17years of age. Based on our findings we consider that reducing the risk of NAFLD in teenagers needs to start before birth, by encouraging normal body mass index before pregnancy, as well as breastfeeding without infant formula milk consumption for the first 6months of life.
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Affiliation(s)
- Oyekoya T Ayonrinde
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia; Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA, Australia; Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
| | - Wendy H Oddy
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Leon A Adams
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia; Department of Hepatology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Trevor A Mori
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia
| | - Lawrence J Beilin
- School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia
| | - Nicholas de Klerk
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - John K Olynyk
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA, Australia; Faculty of Health Sciences, Curtin University, Bentley, WA, Australia; Edith Cowan University, Joondalup, WA, Australia
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50
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Rauschert S, Mori TA, Beilin LJ, Jacoby P, Uhl O, Koletzko B, Oddy WH, Hellmuth C. Early Life Factors, Obesity Risk, and the Metabolome of Young Adults. Obesity (Silver Spring) 2017; 25:1549-1555. [PMID: 28758369 DOI: 10.1002/oby.21915] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 05/30/2017] [Accepted: 06/01/2017] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Noncommunicable diseases such as obesity have become a serious global public health epidemic. This study aimed to examine whether there was an association between early life factors (with a special focus on breastfeeding) BMI, waist circumference, and the metabolome in offspring at 20 years. METHODS Data from the Western Australian Pregnancy Cohort (Raine) Study were analyzed using 1,024 plasma samples from the 20-year follow-up. A liquid chromatography, tandem mass spectrometry metabolomics approach was used to measure metabolites. Multiple linear regression models were performed and adjusted for relevant confounders. Inverse probability weighting was used to adjust the 20-year data for differences in socioeconomic variables between participants and nonparticipants since the commencement of the study. RESULTS An inverse association between breastfeeding and BMI or waist circumference at 20 years was lost after adjusting for parental prepregnancy BMI and maternal smoking during pregnancy. There was no significant effect of breastfeeding on metabolite concentrations at 20 years. CONCLUSIONS Although other studies have shown associations between breastfeeding, obesity, and metabolite concentrations at younger ages, this was not evident in our study in young adults. We found no association of metabolites previously associated with waist circumference at 20 years and breastfeeding in early life.
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Affiliation(s)
- Sebastian Rauschert
- Ludwig Maximilians Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Trevor A Mori
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia
| | - Lawrence J Beilin
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, University of Western Australia, Perth, Western Australia, Australia
| | - Peter Jacoby
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Olaf Uhl
- Ludwig Maximilians Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Berthold Koletzko
- Ludwig Maximilians Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Wendy H Oddy
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Christian Hellmuth
- Ludwig Maximilians Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
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