Seasonal, Geographic, and Socioeconomic Patterns of Public Interest in Frailty Syndrome: Insights From Google Trends

Background: Frailty syndrome is a complex geriatric condition characterized by reduced physiological reserves and increased vulnerability to stressors. While its clinical implications are well established, knowledge on public awareness remains limited. As online search behavior increasingly reflects public interest, tools like Google Trends offer real-time insights into population-level awareness of frailty and its influencing factors.Methods: This observational study analyzed global Google Trends data for the search topic “frailty syndrome” from January 2004 to May 2025. Relative search volume (RSV) was examined across temporal, seasonal, geographic, and socioeconomic dimensions. Seasonal trends were evaluated using time-series decomposition and winter-to-summer amplitude ratios. Geographic patterns were assessed by mapping RSV and classifying countries by World Bank income levels. Pearson correlation was used to assess associations between RSV and socioeconomic indicators including GDP per capita and internet penetration.Results: Global RSV increased from a baseline mean of 8.2 (±3.1) in 2004–2009 to a peak of 78.5 (±15.2) in 2020, followed by sustained elevated interest through 2025 (mean: 45.3 ±12.1). Seasonal analysis showed consistent winter peaks, with amplitude ratios exceeding 1.3. Japan had the highest RSV (100), followed by the United Kingdom (55), Singapore (52), and Ireland (44). All top countries were high-income. RSV was significantly correlated with GDP per capita (r = 0.62, p < 0.01) and internet penetration (r = 0.58, p < 0.01).Conclusion: Search interest varied by season and socioeconomic context. Higher wintertime interest may reflect seasonal vulnerability in older adults, while increased search activity in high-income countries suggests better digital access and health literacy. Low visibility in lower-income regions highlights a digital and educational gap. Google Trends provides meaningful insight into frailty awareness. Understanding seasonal and socioeconomic patterns can guide targeted public health campaigns to promote early detection and prevention in aging populations.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-12
DOI
https://doi.org/10.5281/zenodo.16742580
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal, Geographic, and Socioeconomic Patterns of Public Interest in Frailty Syndrome: Insights From Google Trends

Zenodo (CERN European Organization for Nuclear Research)
Frailty in Older Adults
article

Seasonal, Geographic, and Socioeconomic Patterns of Public Interest in Frailty Syndrome: Insights From Google Trends

article en

Abstract

Background: Frailty syndrome is a complex geriatric condition characterized by reduced physiological reserves and increased vulnerability to stressors. While its clinical implications are well established, knowledge on public awareness remains limited. As online search behavior increasingly reflects public interest, tools like Google Trends offer real-time insights into population-level awareness of frailty and its influencing factors.Methods: This observational study analyzed global Google Trends data for the search topic “frailty syndrome” from January 2004 to May 2025. Relative search volume (RSV) was examined across temporal, seasonal, geographic, and socioeconomic dimensions. Seasonal trends were evaluated using time-series decomposition and winter-to-summer amplitude ratios. Geographic patterns were assessed by mapping RSV and classifying countries by World Bank income levels. Pearson correlation was used to assess associations between RSV and socioeconomic indicators including GDP per capita and internet penetration.Results: Global RSV increased from a baseline mean of 8.2 (±3.1) in 2004–2009 to a peak of 78.5 (±15.2) in 2020, followed by sustained elevated interest through 2025 (mean: 45.3 ±12.1). Seasonal analysis showed consistent winter peaks, with amplitude ratios exceeding 1.3. Japan had the highest RSV (100), followed by the United Kingdom (55), Singapore (52), and Ireland (44). All top countries were high-income. RSV was significantly correlated with GDP per capita (r = 0.62, p < 0.01) and internet penetration (r = 0.58, p < 0.01).Conclusion: Search interest varied by season and socioeconomic context. Higher wintertime interest may reflect seasonal vulnerability in older adults, while increased search activity in high-income countries suggests better digital access and health literacy. Low visibility in lower-income regions highlights a digital and educational gap. Google Trends provides meaningful insight into frailty awareness. Understanding seasonal and socioeconomic patterns can guide targeted public health campaigns to promote early detection and prevention in aging populations.

Zenodo (CERN European Organization for Nuclear Research)
İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi (TR)
Decent work and economic growth
Openalex Percentile: Top 47%
Frailty in Older Adults
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Seasonal, Geographic, and Socioeconomic Patterns of Public Interest in Frailty Syndrome: Insights From Google Trends · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS