Evidence map›Paper›PMID 37277779›Full record

Observational studyBMC public health2023

Profile and quality of life of the adult population in good health according to the level of vitality: European NHWS cross sectional analysis.

Anne-Laure Tardy, Sophie Marguet, Halley Costantino, Andrew Stewart, deMauri Mackie, Grèce Saba, Caroline Amand

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2023. 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
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 3 institutions in 2 countries.

Anne-Laure TardyScience Hub, Sanofi Consumer Healthcare, Gentilly, France.
Sophie Marguet, Cerner Enviza, Paris, France.
Halley CostantinoCerner Enviza, Malvern, PA, USA.
Andrew StewartScience Hub, Sanofi Consumer Healthcare Cambridge, Cambridge, MA, USA.
deMauri MackieCerner Enviza, Malvern, PA, USA.
Grèce Saba, Cerner Enviza, Paris, France.
Caroline AmandScience Hub, Sanofi Consumer Healthcare, Gentilly, France. Caroline.Amand@sanofi.com.ORCID 0000-0003-0765-3007
Cerner (United States) · USSanofi (France) · FRSanofi (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization's definition of health highlights the importance of mental and physical wellbeing and not only disease state. However, lack of awareness on the burden of impaired vitality and its impact on the quality of life of the general healthy population prevents healthcare providers from delivering appropriate solutions and advice. This study aims to better characterize this population in Europe and identify the profile and the health reported outcomes associated with impaired vitality.

methodsThis retrospective observational study included National Health and Wellness Survey (NHWS) data collected in healthy participants aged 18-65 years from five European Union countries in 2018. Socio-demographic and lifestyle characteristics, comorbidities, attitudes towards healthcare systems, Patient Activation Measure, health-related quality of life outcomes (EQ-5D), and work productivity and activity impairment were analysed according to SF-12 vitality score subgroups (≥ 60, 50- < 60, 40- < 50, < 40).

resultsA total of 24,295 participants were enrolled in the main analysis. Being a female, younger, having a lower income and being obese or having sleep and mental disorders was associated with an increased risk of impaired vitality. This was associated with a higher consumption of healthcare resources along with having a weak patient-physician relationship. Participants who were disengaged in the self-management of their health were 2.6 times more likely to have a low level of vitality. For participants in the lowest vitality group, odds of mobility problems increased by 3.4, impairment of usual activity by 5.8, increased of pain and discomfort by 5.6 and depression and anxiety by 10.3, compared with participants in the highest vitality group. Also, odds of presenteeism increased by 3.7, overall work impairment by 3.4 and daily activity losses by 7.1.

conclusionEvidence-based trends facilitate the identification of a healthy population with impaired vitality in real-world practice. This study highlights the actual burden of low vitality on daily life activities, particularly on mental health and reduced work productivity. Additionally, our results underline the importance of self-engagement in the management of vitality impairment and highlights the need to implement strategies to address this public health concern in the affected population (HCP-patient communication, supplements, meditation).

Indexed as

Health StatusQuality of LifeAdultCross-Sectional StudiesEuropeFemaleHealth SurveysHumansFatigueGood healthHealth-related quality of lifeNHWSPatient activationPatient profileVitality

Identifiers

PMID37277779
PMCPMC10239722
OpenAlexW4379470097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.