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ArticleJMIR formative research2024

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study.

Kosuke Uemura, Taiju Miyagami, Mizue Saita, Takuro Uchida, Shun Yuasa, Keita Kondo, Shun Miura, Mizuki Matsushita, Yuka Shirai, Richard Baku Misawa and 1 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

11 authors.

Kosuke Uemura *Department of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0008-3413-5719
Taiju Miyagami *Department of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0002-4893-2224
Mizue SaitaDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0001-8438-0845
Takuro UchidaDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0002-1514-319X
Shun YuasaDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0004-9703-6196
Keita KondoDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0009-8929-7974
Shun MiuraDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0003-0560-7282
Mizuki MatsushitaDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0000-9054-093X
Yuka ShiraiDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0009-6520-9087
Richard Baku MisawaDepartment of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0009-0004-2527-7660
Toshio Naito *Department of General Medicine, Faculty of Medicine, Juntendo University, Tokyo, Japan.ORCID 0000-0003-1646-9930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExercise prescription by physicians is beneficial for initiating or intensifying physical activity. However, providing specific exercise prescriptions is challenging; therefore, few physicians prescribe exercise.

objectiveThis infodemiological study aimed to understand trends in exercise-related internet search keywords based on sex, age, and environmental factors to help doctors prescribe exercise more easily.

methodsSearch keyword volume was collected from Yahoo! JAPAN for 2022. Ten exercise-related terms were analyzed to assess exercise interest. Total search activities were analyzed by sex and age. Characteristic scores were based on the Japanese prefecture. By performing hierarchical cluster analysis, regional features were examined, and Kruskal-Wallis tests were used to assess relationships with population and industry data.

resultsThe top-searched term was "Pilates" (266,000 queries). Male individuals showed higher interest in activities such as "running" (25,400/40,700, 62.4%), "muscle training" (65,800/111,000, 59.3%), and "hiking" (23,400/40,400, 57.9%) than female individuals. Female individuals exhibited higher interest in "Pilates" (199,000/266,000, 74.8%), "yoga" (86,200/117,000, 73.7%), and "tai chi" (45,300/65,900, 68.7%) than male individuals. Based on age, search activity was highest in the 40-49 years age group for both male and female individuals across most terms. For male individuals, 7 of the 10 searched terms' volume peaked for those in their 40s; "stretch" was most popular among those in their 50s; and "tai chi" and "radio calisthenics" had the highest search volume for those in their 70s. Female individuals in their 40s led the search volume for 9 of the 10 terms, with the exception of "tai chi," which peaked for those in their 70s. Hierarchical cluster analysis using a characteristic score as a variable classified prefectures into 4 clusters. The characteristics of these clusters were as follows: cluster 1 had the largest population and a thriving tertiary industry, and individuals tended to search for Pilates and yoga. Following cluster 1, cluster 2, with its substantial population, had a thriving secondary industry, with searches for radio calisthenics and exercise bike. Cluster 4 had a small population, a thriving primary industry, and the lowest search volume for any term. Cluster 3 had a similar population to that of cluster 4 but had a larger secondary industry.

conclusionsMale individuals show more interest in individual activities, such as running, whereas female individuals are interested in group activities, such as Pilates. Despite the high search volume among individuals in their 40s, actual exercise habits are low among those in their 30s to 50s. Search volumes for instructor-led exercises are higher in cluster 1 than in other cluster areas, and the total number of searches decreases as the community size decreases. These results suggest that trends in search behavior depending on sex, age, and environment factors are essential when prescribing exercise for effective behavioral change.

Indexed as

ExerciseLife StyleAdultAgedAge FactorsCluster AnalysisFemaleHumansInformation Seeking BehaviorInternetJapanMaleMiddle AgedSearch EngineSex Factorsagedemographicexercise prescriptionsinfodemiologyinternet search keywordslifestylephysical activitysex

Identifiers

PMID39527804
PMCPMC11589504

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.