Cargando…
Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining
OBJECTIVES: There is significant burden on caregivers of patients with amyotrophic lateral sclerosis (ALS). However, only a few studies have focused on caregivers, and traditional research methods have obvious shortcomings in dealing with multiple influencing factors. This study was designed to expl...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494583/ https://www.ncbi.nlm.nih.gov/pubmed/36130747 http://dx.doi.org/10.1136/bmjopen-2022-066402 |
_version_ | 1784793824433799168 |
---|---|
author | Lian, Ling Zheng, Minying He, Ruojie Lin, Jianing Chen, Weineng Pei, Zhong Yao, Xiaoli |
author_facet | Lian, Ling Zheng, Minying He, Ruojie Lin, Jianing Chen, Weineng Pei, Zhong Yao, Xiaoli |
author_sort | Lian, Ling |
collection | PubMed |
description | OBJECTIVES: There is significant burden on caregivers of patients with amyotrophic lateral sclerosis (ALS). However, only a few studies have focused on caregivers, and traditional research methods have obvious shortcomings in dealing with multiple influencing factors. This study was designed to explore influencing factors on caregiver burden among ALS patients and their caregivers from a new perspective. DESIGN: Cross-sectional study. SETTING: The data were collected at an affiliated hospital in Guangzhou, Guangdong, China. PARTICIPANTS: Fifty-seven pairs of patients with ALS and their caregivers were investigated by standardised questionnaires. MAIN OUTCOME MEASURES: This study primarily assessed the influencing factor of caregiver burden including age, gender, education level, economic status, anxiety, depression, social support, fatigue, sleep quality and stage of disease through data mining. Statistical analysis was performed using SPSS 24.0, and least absolute shrinkage and selection operator (LASSO) regression model was established by Python 3.8.1 to minimise the effect of multicollinearity. RESULTS: According to LASSO regression model, we found 10 variables had weights. Among them, Milano-Torinos (MITOS) stage (0–1) had the highest weight (−12.235), followed by younger age group (−3.198), lower-educated group (2.136), fatigue (1.687) and social support (-0.455). Variables including sleep quality, anxiety, depression and sex (male) had moderate weights in this model. Economic status (common), economic status (better), household (city), household (village), educational level (high), sex (female), age (older) and MITOS stage (2–4) had a weight of zero. CONCLUSIONS: Our study demonstrates that the severity of ALS patients is the most influencing factor in caregiver burden. Caregivers of ALS patients may suffer less from caregiver burden when the patients are less severe, and the caregivers are younger. Low educational status could increase caregiver burden. Caregiver burden is positively correlated with the degree of fatigue and negatively correlated with social support. Hopefully, more attention should be paid to caregivers of ALS, and effective interventions can be developed to relieve this burden. |
format | Online Article Text |
id | pubmed-9494583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-94945832022-09-23 Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining Lian, Ling Zheng, Minying He, Ruojie Lin, Jianing Chen, Weineng Pei, Zhong Yao, Xiaoli BMJ Open Neurology OBJECTIVES: There is significant burden on caregivers of patients with amyotrophic lateral sclerosis (ALS). However, only a few studies have focused on caregivers, and traditional research methods have obvious shortcomings in dealing with multiple influencing factors. This study was designed to explore influencing factors on caregiver burden among ALS patients and their caregivers from a new perspective. DESIGN: Cross-sectional study. SETTING: The data were collected at an affiliated hospital in Guangzhou, Guangdong, China. PARTICIPANTS: Fifty-seven pairs of patients with ALS and their caregivers were investigated by standardised questionnaires. MAIN OUTCOME MEASURES: This study primarily assessed the influencing factor of caregiver burden including age, gender, education level, economic status, anxiety, depression, social support, fatigue, sleep quality and stage of disease through data mining. Statistical analysis was performed using SPSS 24.0, and least absolute shrinkage and selection operator (LASSO) regression model was established by Python 3.8.1 to minimise the effect of multicollinearity. RESULTS: According to LASSO regression model, we found 10 variables had weights. Among them, Milano-Torinos (MITOS) stage (0–1) had the highest weight (−12.235), followed by younger age group (−3.198), lower-educated group (2.136), fatigue (1.687) and social support (-0.455). Variables including sleep quality, anxiety, depression and sex (male) had moderate weights in this model. Economic status (common), economic status (better), household (city), household (village), educational level (high), sex (female), age (older) and MITOS stage (2–4) had a weight of zero. CONCLUSIONS: Our study demonstrates that the severity of ALS patients is the most influencing factor in caregiver burden. Caregivers of ALS patients may suffer less from caregiver burden when the patients are less severe, and the caregivers are younger. Low educational status could increase caregiver burden. Caregiver burden is positively correlated with the degree of fatigue and negatively correlated with social support. Hopefully, more attention should be paid to caregivers of ALS, and effective interventions can be developed to relieve this burden. BMJ Publishing Group 2022-09-21 /pmc/articles/PMC9494583/ /pubmed/36130747 http://dx.doi.org/10.1136/bmjopen-2022-066402 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Neurology Lian, Ling Zheng, Minying He, Ruojie Lin, Jianing Chen, Weineng Pei, Zhong Yao, Xiaoli Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title | Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title_full | Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title_fullStr | Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title_full_unstemmed | Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title_short | Analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in China: a cross-sectional study based on data mining |
title_sort | analysing the influencing factors on caregivers’ burden among amyotrophic lateral sclerosis patients in china: a cross-sectional study based on data mining |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494583/ https://www.ncbi.nlm.nih.gov/pubmed/36130747 http://dx.doi.org/10.1136/bmjopen-2022-066402 |
work_keys_str_mv | AT lianling analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT zhengminying analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT heruojie analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT linjianing analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT chenweineng analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT peizhong analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining AT yaoxiaoli analysingtheinfluencingfactorsoncaregiversburdenamongamyotrophiclateralsclerosispatientsinchinaacrosssectionalstudybasedondatamining |