Evidence map›Paper›PMID 27423703›Full record

ArticleBMC geriatrics2016

National survey of the Portuguese elderly nutritional status: study protocol.

Teresa Madeira, Catarina Peixoto-Plácido, Beatriz Goulão, Nuno Mendonça, Violeta Alarcão, Nuno Santos, Rita Machado de Oliveira, Agneta Yngve, Asta Bye, Astrid Bergland and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 4 countries.

Teresa MadeiraInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Catarina Peixoto-PlácidoInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Beatriz GoulãoInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Nuno MendonçaInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Violeta AlarcãoInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Nuno SantosInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Rita Machado de OliveiraInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Agneta YngveDepartment of Food, Nutrition and Dietetics, Uppsala University, P.O. Box 256, SE 75 105, Uppsala, Sweden.
Asta ByeOslo and Akershus University College of Applied Sciences, Pilestredet 46, 0167, Oslo, Norway.
Astrid BerglandOslo and Akershus University College of Applied Sciences, Pilestredet 46, 0167, Oslo, Norway.
Carla LopesEPIUnit-Institute of Public Health, University of Porto, Rua das Taipas 135, 4050-600, Porto, Portugal.
Paulo NicolaInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
Osvaldo SantosInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal. osantos@medicina.ulisboa.pt.
João Gorjão ClaraInstituto de Medicina Preventiva e Saúde Pública da Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028, Lisboa, Portugal.
University of Lisbon · PTNewcastle Hospitals - Campus for Ageing and Vitality · GBOsloMet – Oslo Metropolitan University · NOOslo University Hospital · NOUniversidade do Porto · PTUniversity of Aberdeen · GBUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide we are facing a serious demographic challenge due to the dramatic growth of the population over 60 years. It is expected that the proportion of this population will nearly double from 12 to 22 %, between 2015 and 2050. This demographic shift comes with major health and socio-economic concerns. Nutrition is a fundamental determinant of both health and disease and its role in extending a healthy lifespan is the object of considerable research. Notably, malnutrition is one of the main threats to health and quality of life among the elderly. Therefore, knowledge about nutritional status among the elderly is essential for the promotion and maintenance of healthy ageing and to support the development of health protection policies and equity in elderly health care.

methodsThis is a nationwide nutrition survey of the Portuguese population over 65 years old, with data collection through face-to-face interviews. A representative and random sample of community dwelling elderly and nursing homes residents will be obtained by multistage sampling stratified per main Portuguese regions, sex and age groups. Minimum sample size was estimated to be 2077 elderly (979 in the community and 1098 in nursing homes). Data will be collected on food habits and eating patterns, nutritional status, food insecurity, lifestyle, self-rated general health status and self-reported diseases, functionality, loneliness, cognitive function, emotional status and demographic and socio-economic characterization. DISCUSSION: This is the first national survey to evaluate the prevalence of nutritional risk and malnutrition of the Portuguese population above 65 years old, including those living in nursing homes. It will allow the identification of population subgroups of elderly with increased odds of malnutrition and nutritional risk. In addition, this survey will contribute to the identification of psychosocial and clinical predictors of malnutrition among elderly, which is an important risk factor for other devastating medical conditions.

Indexed as

MalnutritionQuality of LifeAgedAged, 80 and overCognitionFeeding BehaviorFemaleGeriatric AssessmentHealth Status DisparitiesHumansIndependent LivingMaleNursing HomesNutritional StatusNutrition AssessmentNutrition SurveysAgeingElderlyEpidemiological studyMalnutritionNational surveyNutritional assessmentNutritional statusUndernutrition

Identifiers

PMID27423703
PMCPMC4947358
OpenAlexW2469015486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.