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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lian, Ling, Zheng, Minying, He, Ruojie, Lin, Jianing, Chen, Weineng, Pei, Zhong, Yao, Xiaoli
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