Evidence map›Paper›PMID 36612553›Full record

ArticleInternational journal of environmental research and public health2022

Lifestyle Profiles and Their Sociodemographic Correlate in an Academic Community Sample.

Roberta Adorni, Elena Lonati, Francesco Zanatta, Michael Belingheri, Massimiliano Rossetti, Matteo Colleoni, Michele Augusto Riva, Paola Palestini, Patrizia Steca

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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. Health-Related Lifestyles among University Students: Focusing on Eating Habits and Physical Activity.International journal of environmental research and public health · 2024
    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

9 authors.

Roberta AdorniDepartment of Psychology, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 20126 Milan, Italy.ORCID 0000-0002-2851-8376
Elena LonatiSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0002-4579-7397
Francesco ZanattaDepartment of Psychology, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 20126 Milan, Italy.ORCID 0000-0002-6995-4190
Michael BelingheriSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0001-6807-6819
Massimiliano RossettiBASE Bicocca Sustainability Committee, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 20126 Milan, Italy.
Matteo ColleoniBASE Bicocca Sustainability Committee, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 20126 Milan, Italy.
Michele Augusto RivaSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0001-7147-3460
Paola PalestiniSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, 20900 Monza, Italy.ORCID 0000-0002-1045-8838
Patrizia StecaDepartment of Psychology, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 20126 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoting healthy behaviors throughout life is an essential prevention tool. Prior research showed that unhealthy behaviors tend to co-occur and interplay. However, which behaviors co-occur most frequently and which sociodemographic variables are associated with specific clusters of unhealthy behavior are still being determined. This study aimed to identify different lifestyle profiles and analyze their associations with sociodemographic factors in an Italian academic community to plan targeted initiatives to promote healthy lifestyles. A sample of 8715 adults from an Italian university (mean age = 26 years; range = 18-76; 30% male) participated in an online survey in 2019. Four health-related behaviors were evaluated: diet, physical activity, smoking, and alcohol consumption. Lifestyle profiles were identified through cluster analysis. Then, a multinomial logistic regression was performed to explore the association among lifestyle profiles, sociodemographic variables (age, gender, and academic role), and body mass index (BMI). Results showed that older age was associated with the probability of belonging to the profile characterized by smoke addiction and regular alcohol consumption but also with the healthiest diet. The younger the age, the greater the probability of belonging to the most physically active profile. Men were more likely than women to belong to the lifestyle profile with the most regular alcohol consumption and the highest physical activity. Lower BMI was associated with the most physically active profile. This study shed light on factors associated with different co-occurring health-related behaviors that should be considered in planning effective communication strategies and preventive health interventions within the academic community.

Indexed as

Health BehaviorLife StyleAdultAlcohol DrinkingDietExerciseFemaleHealthy LifestyleHumansMaleagealcohol consumptiondietgenderlifestylephysical activitysmoking

Identifiers

PMID36612553
PMCPMC9819094

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.