Evidence map›Paper›PMID 31344946›Full record

SynthesisSensors (Basel, Switzerland)2019

Systematic Literature Review of Food-Intake Monitoring in an Aging Population.

Enrique Moguel, Javier Berrocal, José García-Alonso

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ubiquitous Computing and Ambient Intelligence-UCAmI.Sensors (Basel, Switzerland) · 2019
    Article
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

3 authors.

Enrique MoguelAv. de la Universidad, s/n. University of Extremadura, 10004 Cáceres, Spain. enrique@unex.es.ORCID 0000-0002-4096-1282
Javier BerrocalAv. de la Universidad, s/n. University of Extremadura, 10004 Cáceres, Spain.
José García-AlonsoAv. de la Universidad, s/n. University of Extremadura, 10004 Cáceres, Spain.

Funding

4IE project 0045-4IE-4-P4IE+ project 0499-4IE-PLUS-4-EDepartment of Economy and Infrastructure of the Government of Extremadura GR18112, IB18030Spanish Ministry of Science, Innovation and Universities RTI2018-094591-B-I00
6 · The paper itself

Abstract

The dietary habits of people directly impact their health conditions. Especially in elder populations (in 2017, 6.7% of the world's population was over 65 years of age), these habits could lead to important-nutrient losses that could seriously affect their cognitive and functional state. Recently, a great research effort has been devoted to using different technologies and proposing different techniques for monitoring food-intake. Nevertheless, these techniques are usually generic but make use of the most innovative technologies and methodologies to obtain the best possible monitoring results. However, a large percentage of elderly people live in depopulated rural areas (in Spain, 28.1% of the elderly population lives in this type of area) with a fragile cultural and socioeconomic context. The use of these techniques in these environments is crucial to improving this group's quality of life (and even reducing their healthcare expenses). At the same time, it is especially challenging since they have very specific and strict requirements regarding the use and application of technology. In this Systematic Literature Review (SLR), we analyze the most important proposed technologies and techniques in order to identify whether they can be applied in this context and if they can be used to improve the quality of life of this fragile collective. In this SLR, we have analyzed 326 papers. From those, 29 proposals have been completely analyzed, taking into account the characteristics and requirements of this population.

Indexed as

AgedAged, 80 and overAgingDelivery of Health CareEatingFemaleHumansMaleMonitoring, PhysiologicQuality of LifeRural PopulationSpainaging populationmonitoring food intakeSLR

Identifiers

PMID31344946
PMCPMC6695930

What OpenQuestion holds

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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.