Evidence map›Paper›PMID 36937248›Full record

ArticleJournal of transport & health2023

The relationship between subjective well-being and individual characteristics, personality traits, and choice of transport mode during the first lock-down in Milan, Italy.

Lorenzo Mussone, Farzaneh Changizi

Abstract read
In one paragraph

Article in Journal of transport & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Lorenzo MussonePolitecnico di Milano, Department of Architecture, Building Environment and Civil Constructions, Piazza L. da Vinci 32, Milano, Italy.
Farzaneh ChangiziPolitecnico di Milano, Department of Architecture, Building Environment and Civil Constructions, Piazza L. da Vinci 32, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Concerning the adverse effect of COVID-19 virus pandemic on subjective well-being and daily travel, this research sought to analyse which personal characteristics, personality traits, and transport modes are related to positive and negative affect, and satisfaction with life during the first lock-down in Milan, Italy. Method: In the spring of 2020, an online survey was conducted in Milan, and 1025 responses were collected. Then, three Multinomial Ordinal Regression models (MNOR) are carried out to examine the relationship between the data. Results: Results show that women were more likely to feel fewer positive emotions than men. More physical activity, and income were positively associated with the models. Significant relevance of personality traits with subjective well-being is reported Regarding daily mobility during the pandemic, transport mode after lock-down, satisfaction with public transport, and worry about using public transport were found relevant to subjective wellbeing. Conclusions: Whereas the feeling of worry about using public transport increased the negative affect. Transport mode during lock-down was not related to subjective well-being, though the preferred mode of transport after lock-down was related to satisfaction with life. Respondents who chose to use private cars more than other modes of transport were more likely to have higher satisfaction with life. Findings are discussed to improve transport and mobility planning during pandemics.

Indexed as

Choice of transport modeCOVID-19 pandemicMultinomial regression modelsPersonality traitsSubjective well-beingSurvey

Identifiers

PMID36937248
PMCPMC10014291

What OpenQuestion holds

Textmetadata
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.