Anxiety subtypes in rural ischaemic stroke survivors: A latent profile analysis.
Huimin Zhang, Junyan Ma, Yuyan Sun and 3 others
PMID 36807562WHAT IT FOUND
Rural stroke survivors fell into three anxiety groups: low and stable, moderate but unstable, and high and stable.
Female sex, low education, low income, chronic disease, poor daily-living ability and depression were more common in the higher-anxiety groups.
Key findings
01The three-class model placed 431 people in a low-level stable group, 118 in a moderate-level unstable group, and 112 in a high-level stable group.
02Anxiety class membership was significantly associated with sex, education, living arrangement, household income, chronic disease, ADL level and depression.
03Female patients, low education, household monthly income under 2000 RMB, chronic disease, impaired ADL and depression were reported as more likely to be in the high-level stable group.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The survey captured anxiety at one time only, so it cannot show how these groups change after stroke or whether risk factors caused the anxiety. Participants came from one rural area in China and were recruited by convenience sampling, so the groups may not match patients elsewhere. Anxiety and depression were measured by self-report questionnaires, and the choice of a three-group model depended on statistical tests of how well the model fitted the data, not clinical diagnosis. People with mental disorders or serious physical illness were excluded, so the results may not apply to more complex stroke survivors.
Declared interests
The work was supported by Special Funding for the Construction of Innovative Provinces in Hunan, Philosophy and Social Science Planning Fund of Henan Province, Xinxiang Soft Science Research Project, and the China Oceanwide Holding Group Project Fund. The authors declared no conflict of interest.
The easy way to misread this
Do not treat the three anxiety groups as clinical diagnoses that require different treatment. The study measured patients only once and did not test any intervention, so it shows patterns at one time, not proof that targeting these groups improves outcomes.