Evidence map›Paper›PMID 39317504›Full record

ArticleBMJ open2024

Investigation of the knowledge, attitude and practice regarding nutrition in older adults with tuberculosis and diabetes: a cross-sectional study in Eastern China.

Juanli Huang, Xuenong Gao, Xuyun Meng, Juan Yang, Lijun Wang

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

5 authors.

Juanli Huang *Department of Infectious Diseases, Third People's Hospital of Yichang City, Yichang, Hubei, China 921035418@qq.com.ORCID 0009-0007-8467-6807
Xuenong Gao *Three Gorges University Renhe Hospital, Yichang, Hubei, China.
Xuyun MengDepartment of Infectious Diseases, Third People's Hospital of Yichang City, Yichang, Hubei, China.
Juan YangDepartment of Infectious Diseases, Third People's Hospital of Yichang City, Yichang, Hubei, China.
Lijun WangDepartment of Infectious Diseases, Third People's Hospital of Yichang City, Yichang, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOlder adults with tuberculosis and diabetes have special needs regarding dietary nutrition. This study aimed to investigate the knowledge, attitude and practice (KAP) regarding dietary nutrition among older adults with those two conditions.

designCross-sectional study.

settingThree tertiary medical centres in China.

participantsAdults over 60 year old diagnosed with tuberculosis and diabetes.

interventionsBetween July 2023 and October 2023. PRIMARY AND SECONDARY OUTCOME MEASURES: Demographic characteristics and KAP scores collected by self-designed questionnaire.

resultsA total of 456 valid questionnaires were analysed, with 261 (57.24%) participants being over 70 years old. The mean scores were 6.84±3.16 (possible range: 0-24) for knowledge, 23.23±2.23 (possible range: 8-40) for attitude and 22.73±3.14 (possible range: 8-40) for practice, respectively. Correlation analysis revealed significant positive correlations between knowledge and attitude (r=0.287, p<0.001), knowledge and practice (r=0.189, p<0.001) and attitude and practice (r=0.176, p<0.001). Structural equation modelling demonstrated that knowledge significantly influenced attitude (β=0.343, 95% CI (0.257 to 0.422), p<0.001) and practice (β=0.245, 95% CI (0.101 to 0.405), p<0.001) and attitude significantly influenced practice (β=0.274, 95% CI (0.146 to 0.405), p<0.001).

conclusionsThe study highlights a need for improvements in dietary nutrition practices for older adults with tuberculosis and diabetes. Findings emphasise the urgency of enhancing dietary education among this population in China. Implementation of targeted educational programmes is warranted to improve knowledge, foster positive attitudes and encourage healthier dietary practices, ultimately leading to improved patient outcomes and well-being.

Indexed as

Diabetes MellitusHealth Knowledge, Attitudes, PracticeTuberculosisAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutritional StatusSurveys and Questionnairesdiabetes & endocrinologyeducation, medicalgeriatric medicinehealth educationtuberculosis

Identifiers

PMID39317504
PMCPMC11423730

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.