Evidence map›Paper›PMID 39578886›Full record

ArticleInternational journal for equity in health2024

Gender disparities in physical, psychological, and cognitive multimorbidity among elderly hypertensive populations in rural regions.

Yudong Miao, Jiajia Zhang, Jian Wu, Dongfang Zhu, Junwen Bai, Jingbao Zhang, Ruizhe Ren, Dan Guo, Mingyue Zhen, Jinxin Cui and 5 more

Abstract read
In one paragraph

Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Jiajia ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Jian WuDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Dongfang ZhuDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Junwen BaiDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Jingbao ZhangDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Ruizhe RenDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Dan GuoDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Mingyue ZhenDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Jinxin CuiDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Xinran LiDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Wenyong DongDepartment of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, Henan, China.
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Yifei FengDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China.
Zhanlei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, No.100 Kexue Road, Zhongyuan District, Zhengzhou, Henan, 450001, China. zhanlei1208@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of gender disparities in physical, mental, and cognitive disorders among elderly hypertensive individuals in rural areas remains unclear. This study evaluates these disparities and the factors contributing to multimorbidity in this demographic.

methodsA face-to-face survey was conducted from July 1 to August 31, 2023, involving the hypertensive population registered with the National Basic Public Health Service Program in Jia County. Physical disorder was defined as having one or more self-reported chronic conditions other than hypertension. Participants experiencing anxiety or depression were as having a psychological disorder. The 9-item Patient Health Questionnaire (PHQ-9) was used to assess depression symptomatology, and anxiety symptoms were evaluated using the 7-item Generalized Anxiety Disorder questionnaire (GAD-7). Cognitive disorders were assessed using the Brief Mental Status Examination Scale (MMSE). Multifactorial logistic regression models were used to analyze factors affecting different disorder combinations in both genders. The net difference in multimorbidity prevalence between genders was determined using the propensity score matching (PSM).

resultsOut of 18,447 hypertensive individuals aged 65 years and above (42.28% men), the prevalence of multimorbidity was 30.64% in men and 38.67% in women. Outcomes included seven categories: physical disorders, psychological disorders, cognitive disorders, and four different combinations of these disorders. The primary outcome was the presence of two or more disorders. The prevalence of physical, psychological, and cognitive disorders and their four combinations were higher in women than in men; Key factors influencing multimorbidity risk included subjective health status, illness duration, medication history, blood pressure control, and lifestyle behaviors in both men and women. Post-PSM analysis revealed that women had a 6.74% higher multimorbidity prevalence than men.

conclusionsPhysical, psychological, and cognitive disorders, along with their various multimorbid combinations, significantly impact the elderly hypertensive population. Prioritizing a healthy lifestyle is essential to mitigate multimorbidity risks. Considering that the prevalence of multimorbidity is higher in women than in men with hypertension, sufficient sleep, maintaining a healthy waist circumference, and medication adherence are vital for managing blood pressure and reducing multimorbidity risks.

Indexed as

HypertensionMultimorbidityRural PopulationAgedAged, 80 and overDepressionFemaleHumansMalePrevalenceSex FactorsSurveys and QuestionnairesGender disparitiesHypertensive populationsMultimorbidity

Identifiers

PMID39578886
PMCPMC11583638

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.