Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey
BackgroundA geographical analysis could be employed to uncover social risk factors and interventions linked to chronic pain. Nonetheless, geographical variation in chronic pain across different regions of Japan have not been well explored. This study aims to investigate geographical variation in hig...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1482177/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850246608513400832 |
|---|---|
| author | Kenta Wakaizumi Kenta Wakaizumi Chisato Tanaka Chisato Tanaka Yuta Shinohara Yuta Shinohara Yihuan Wu Yihuan Wu Saki Takaoka Saki Takaoka Morihiko Kawate Morihiko Kawate Hiroyuki Oka Ko Matsudaira |
| author_facet | Kenta Wakaizumi Kenta Wakaizumi Chisato Tanaka Chisato Tanaka Yuta Shinohara Yuta Shinohara Yihuan Wu Yihuan Wu Saki Takaoka Saki Takaoka Morihiko Kawate Morihiko Kawate Hiroyuki Oka Ko Matsudaira |
| author_sort | Kenta Wakaizumi |
| collection | DOAJ |
| description | BackgroundA geographical analysis could be employed to uncover social risk factors and interventions linked to chronic pain. Nonetheless, geographical variation in chronic pain across different regions of Japan have not been well explored. This study aims to investigate geographical variation in high-impact chronic pain (HICP), defined as moderate to severe chronic pain, and examine the associated psychological factors at the prefecture level.MethodsA cross-sectional Internet-based survey involving 52,353 participants was conducted to assess chronic pain conditions, stress levels, mood states, educational levels, living status, regions, sleep duration, and exercise habits. A geographical analysis evaluated the prevalence of HICP at the prefecture level, and a multilevel analysis explored the risk factors for HICP at both individual and prefecture levels.ResultsThe geographical analysis revealed that Fukushima exhibited the highest HICP prevalence (23.2%; z-score = 2.11), Oita ranked second (23.0%; z-score = 2.00), and Okinawa showed the lowest prevalence (14.9%; z-score = −2.45). Geographical maps of Japan indicated that regional-level subjective stress, negative emotions, and short sleep were associated with higher HICP prevalence. In contrast, positive emotions, such as vigor, were associated with lower prevalence. Multilevel analysis revealed a significant improvement in model fit after incorporating psychological factors at the prefecture level (p < 0.001) and identified significant associations between high subjective stress and low vigor at the prefecture level with HICP prevalence (p < 0.001).ConclusionThere are regional differences in HICP prevalence, and at the prefecture level, subjective stress and vigor are associated with HICP. |
| format | Article |
| id | doaj-art-28d197c8789f4b7a9435d9653a700c3f |
| institution | OA Journals |
| issn | 2296-2565 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-28d197c8789f4b7a9435d9653a700c3f2025-08-20T01:59:09ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-12-011210.3389/fpubh.2024.14821771482177Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional surveyKenta Wakaizumi0Kenta Wakaizumi1Chisato Tanaka2Chisato Tanaka3Yuta Shinohara4Yuta Shinohara5Yihuan Wu6Yihuan Wu7Saki Takaoka8Saki Takaoka9Morihiko Kawate10Morihiko Kawate11Hiroyuki Oka12Ko Matsudaira13Department of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDepartment of Anesthesiology, Keio University School of Medicine, Tokyo, JapanInterdisciplinary Pain Center, Keio University Hospital, Tokyo, JapanDivision of Musculoskeletal AI System Development, Faculty of Medicine, The University of Tokyo, Tokyo, JapanDepartment of Pain Medicine, Fukushima Medical University School of Medicine, Fukushima, JapanBackgroundA geographical analysis could be employed to uncover social risk factors and interventions linked to chronic pain. Nonetheless, geographical variation in chronic pain across different regions of Japan have not been well explored. This study aims to investigate geographical variation in high-impact chronic pain (HICP), defined as moderate to severe chronic pain, and examine the associated psychological factors at the prefecture level.MethodsA cross-sectional Internet-based survey involving 52,353 participants was conducted to assess chronic pain conditions, stress levels, mood states, educational levels, living status, regions, sleep duration, and exercise habits. A geographical analysis evaluated the prevalence of HICP at the prefecture level, and a multilevel analysis explored the risk factors for HICP at both individual and prefecture levels.ResultsThe geographical analysis revealed that Fukushima exhibited the highest HICP prevalence (23.2%; z-score = 2.11), Oita ranked second (23.0%; z-score = 2.00), and Okinawa showed the lowest prevalence (14.9%; z-score = −2.45). Geographical maps of Japan indicated that regional-level subjective stress, negative emotions, and short sleep were associated with higher HICP prevalence. In contrast, positive emotions, such as vigor, were associated with lower prevalence. Multilevel analysis revealed a significant improvement in model fit after incorporating psychological factors at the prefecture level (p < 0.001) and identified significant associations between high subjective stress and low vigor at the prefecture level with HICP prevalence (p < 0.001).ConclusionThere are regional differences in HICP prevalence, and at the prefecture level, subjective stress and vigor are associated with HICP.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1482177/fullhigh impact chronic paingeographical variationsubjective stressprofile of mood statesmultilevel analysis |
| spellingShingle | Kenta Wakaizumi Kenta Wakaizumi Chisato Tanaka Chisato Tanaka Yuta Shinohara Yuta Shinohara Yihuan Wu Yihuan Wu Saki Takaoka Saki Takaoka Morihiko Kawate Morihiko Kawate Hiroyuki Oka Ko Matsudaira Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey Frontiers in Public Health high impact chronic pain geographical variation subjective stress profile of mood states multilevel analysis |
| title | Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey |
| title_full | Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey |
| title_fullStr | Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey |
| title_full_unstemmed | Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey |
| title_short | Geographical variation in high-impact chronic pain and psychological associations at the regional level: a multilevel analysis of a large-scale internet-based cross-sectional survey |
| title_sort | geographical variation in high impact chronic pain and psychological associations at the regional level a multilevel analysis of a large scale internet based cross sectional survey |
| topic | high impact chronic pain geographical variation subjective stress profile of mood states multilevel analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1482177/full |
| work_keys_str_mv | AT kentawakaizumi geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT kentawakaizumi geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT chisatotanaka geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT chisatotanaka geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT yutashinohara geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT yutashinohara geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT yihuanwu geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT yihuanwu geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT sakitakaoka geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT sakitakaoka geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT morihikokawate geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT morihikokawate geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT hiroyukioka geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey AT komatsudaira geographicalvariationinhighimpactchronicpainandpsychologicalassociationsattheregionallevelamultilevelanalysisofalargescaleinternetbasedcrosssectionalsurvey |