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      Dietary patterns and the risk of CVD and all-cause mortality in older British men

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          Abstract

          Dietary patterns are a major risk factor for cardiovascular morbidity and mortality; however, few studies have examined this relationship in older adults. We examined prospective associations between dietary patterns and the risk of CVD and all-cause mortality in 3226 older British men, aged 60–79 years and free from CVD at baseline, from the British Regional Heart Study. Baseline FFQ data were used to generate thirty-four food groups. Principal component analysis identified dietary patterns that were categorised into quartiles, with higher quartiles representing higher adherence to the dietary pattern. Cox proportional hazards examined associations between dietary patterns and risk of all-cause mortality and cardiovascular outcomes. We identified three interpretable dietary patterns: ‘high fat/low fibre’ (high in red meat, meat products, white bread, fried potato, eggs), ‘prudent’ (high in poultry, fish, fruits, vegetables, legumes, pasta, rice, wholemeal bread, eggs, olive oil) and ‘high sugar’ (high in biscuits, puddings, chocolates, sweets, sweet spreads, breakfast cereals). During 11 years of follow-up, 899 deaths, 316 CVD-related deaths, 569 CVD events and 301 CHD events occurred. The ‘high-fat/low-fibre’ dietary pattern was associated with an increased risk of all-cause mortality only, after adjustment for confounders (highest v. lowest quartile; hazard ratio 1·44; 95 % CI 1·13, 1·84). Adherence to a ‘high-sugar’ diet was associated with a borderline significant trend for an increased risk of CVD and CHD events. The ‘prudent’ diet did not show a significant trend with cardiovascular outcomes or mortality. Avoiding ‘high-fat/low-fibre’ and ‘high-sugar’ dietary components may reduce the risk of cardiovascular events and all-cause mortality in older adults.

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          Constructing socio-economic status indices: how to use principal components analysis.

          Theoretically, measures of household wealth can be reflected by income, consumption or expenditure information. However, the collection of accurate income and consumption data requires extensive resources for household surveys. Given the increasingly routine application of principal components analysis (PCA) using asset data in creating socio-economic status (SES) indices, we review how PCA-based indices are constructed, how they can be used, and their validity and limitations. Specifically, issues related to choice of variables, data preparation and problems such as data clustering are addressed. Interpretation of results and methods of classifying households into SES groups are also discussed. PCA has been validated as a method to describe SES differentiation within a population. Issues related to the underlying data will affect PCA and this should be considered when generating and interpreting results.
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            The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. WHO MONICA Project Principal Investigators.

            A World Health Organization Working Group has developed a major international collaborative study with the objective of measuring over 10 years, and in many different populations, the trends in, and determinants of, cardiovascular disease. Specifically the programme focuses on trends in event rates for validated fatal and non-fatal coronary heart attacks and strokes, and on trends in cardiovascular risk factors (blood pressure, cigarette smoking and serum cholesterol) in men and women aged 25-64 in the same defined communities. By this means it is hoped both to measure changes in cardiovascular mortality and to see how far they are explained; on the one hand by changes in incidence mediated by risk factor levels; and on the other by changes in case-fatality rates, related to medical care. Population centres need to be large and numerous; to reliably establish 10-year trends in event rates within a centre 200 or more fatal events in men per year are needed, while for the collaborative study a multiplicity of internally homogeneous centres showing differing trends will provide the best test of the hypotheses. Forty-one MONICA Collaborating Centres, using a standardized protocol, are studying 118 Reporting Units (subpopulations) with a total population aged 25-64 (both sexes) of about 15 million.
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              Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording.

              This paper uses fundamental principles of energy physiology to define minimum cut-off limits for energy intake below which a person of a given sex, age and body weight could not live a normal life-style. These have been derived from whole-body calorimeter and doubly-labelled water measurements in a wide range of healthy adults after due statistical allowance for intra- and interindividual variance. The tabulated cut-off limits, which depend on sample size and duration of measurements, identify minimum plausible levels of energy expenditure expressed as a multiple of basal metabolic rate (BMR). CUT-OFF 1 tests whether reported energy intake measurements can be representative of long-term habitual intake. It is set at 1.35 x BMR for cases where BMR has been measured rather than predicted. CUT-OFF 2 tests whether reported energy intakes are a plausible measure of the food consumed during the actual measurement period, and is always more liberal than CUT-OFF 1 since it has to allow for the known measurement imprecision arising from the high level of day-to-day variability in food intake. The cut-off limits can be used to evaluate energy intake data. Results falling below these limits must be recognized as being incompatible with long-term maintenance of energy balance and therefore with long-term survival.
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                Author and article information

                Journal
                Br J Nutr
                Br. J. Nutr
                BJN
                The British Journal of Nutrition
                Cambridge University Press (Cambridge, UK )
                0007-1145
                1475-2662
                13 September 2016
                14 October 2016
                : 116
                : 7
                : 1246-1255
                Affiliations
                [1 ]Department of Primary Care and Population Health, University College London , London NW3 2PF, UK
                [2 ]Epidemiology and Public Health Group, Medical School, University of Exeter , RILD Building, Barrack Road, ExeterEX2 5DW, UK
                [3 ]Population Health Research Centre, Division of Population Health Sciences and Education, St George’s, University of London, London SW17 0RE , UK
                [4 ]School of Social and Community Medicine, University of Bristol, Bristol BS8 2PS , UK
                Author notes
                [* ] Corresponding author:Dr J. L. Atkins, email j.l.atkins@ 123456exeter.ac.uk
                Article
                S0007114516003147 00314
                10.1017/S0007114516003147
                5053073
                27620002
                ef5c09e7-7423-4b88-8b1b-9a7fdbce0e7a
                © The Authors 2016

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 March 2016
                : 19 July 2016
                : 04 August 2016
                Page count
                Figures: 0, Tables: 6, Pages: 10
                Categories
                Full Papers
                Dietary Surveys and Nutritional Epidemiology

                Nutrition & Dietetics
                a posteriori dietary patterns,cvd,mortality,older adults,principal component analysis

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