Dataset Information

Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.

ABSTRACT:

Aims

The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services.

Methods

Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment. For each of the eight chronic conditions, the sensitivity, specificity, under-reporting, over-reporting, and agreement were calculated. Log-binomial regression analysis was employed to identify potential factors that may influence the consistency of chronic condition reporting.

Results

A total of 2,272 participants were included in the analysis. Four out of the eight chronic conditions displayed under-reporting exceeding 50%. The highest under-reporting was observed for goiter [85.93, 95% confidence interval (CI): 85.25-86.62%], hyperuricemia (83.94, 95% CI: 83.22-84.66%), and thyroid nodules (72.89, 95% CI: 72.02-73.76%). Log-binomial regression analysis indicated that senior age and high BMI were potential factors associated with the under-reporting of chronic condition status in the study population.

Conclusion

The self-reported disease diagnosis by respondents and clinical assessment data exhibit significant inconsistency for all eight chronic conditions. Large proportions of patients with multiple chronic conditions were under-reported in Xi'an, China. Combining relevant potential factors, targeted health screenings for high-risk populations might be an effective method for identifying under-reporting patients.

SUBMITTER: Liu H

PROVIDER: S-EPMC10825002 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.

Liu Haobiao H Zhao Yanru Y Qiao Lichun L Yang Congying C Yang Ying Y Zhang Tianxiao T Wu Qian Q Han Jing J

Frontiers in public health 20240116

<h4>Aims</h4>The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services.<h4>Met ...[more]

PMID: 38292908

Similar Datasets

Project description:Urban lakes play a vital role in the sustainable development of urbanized areas. In this freshwater ecosystem, massive microbial communities can drive the recycling of nutrients and regulate the water quality. However, water bacterial and fungal communities in the urban lakes are not well understood. In the present work, scanning electron microscopy (SEM) was combined with community level physiological profiles (CLPPs) and Illumina Miseq sequence techniques to determine the diversity and composition of the water bacterial and fungal community in three urban lakes, namely Xingqing lake (LX), Geming lake (LG) and Lianhu lake (LL), located in Xi'an City (Shaanxi Province, China). The results showed that these three lakes were eutrophic water bodies. The highest total nitrogen (TN) was observed in LL, with a value of 12.1 mg/L, which is 2 times higher than that of LG. The permanganate index (CODMn) concentrations were 21.6 mg/L, 35.4 mg/L and 28.8 mg/L in LG, LL and LX, respectively (p < 0.01). Based on the CLPPs test, the results demonstrated that water bacterial communities in the LL and LX urban lakes had higher carbon source utilization ability. A total of 62,742 and 55,346 high quality reads were grouped into 894 and 305 operational taxonomic units (OTUs) for bacterial and fungal communities, respectively. Water bacterial and fungal community was distributed across 14 and 6 phyla. The most common phyla were Proteobacteriaand Cyanobacteria. Cryptomycota was particularly dominant in LL, while Chytridiomycota and Entomophthormycota were the most abundant fungal phyla, accounting for 95% of the population in the LL and 56% in the LG. Heat map and redundancy analysis (RDA) highlighted the dramatic differences of water bacterial communities among three urban lakes. Meanwhile, the profiles of fungal communities were significantly correlated with the water quality parameters (e.g., CODMn and total nitrogen, TN). Several microbes (Legionella sp. and Streptococcus sp.) related to human diseases, such as infectious diseases, were also found. The results from this study provides useful information related to the water quality and microbial community compositions harbored in the aquatic ecosystems of urban lakes.

Project description:RationaleChronic obstructive pulmonary disease (COPD) predominantly affects older adults. However, the co-morbid occurrence of geriatric conditions has been understudied.ObjectiveCharacterize the prevalence of geriatric conditions among community-dwelling U.S. older adults with self-reported COPD.MethodsWe conducted a nationally representative, cross-sectional study of 3,005 U.S. community-dwelling older adults (ages 57-85 years) from the National Social Life, Health, and Aging Project (NSHAP). We evaluated the prevalence of select geriatric conditions (multimorbidity, functional disability, impaired physical function, low physical activity, modified frailty assessment, falls, polypharmacy, and urinary incontinence) and psychosocial measures (frequency of socializing, sexual activity in the last year, loneliness, cognitive impairment, and depressive symptoms) among individuals with self-reported COPD as compared to those without. Using multivariate logistic and linear regressions, we investigated the relationships between COPD and these geriatric physical and psychosocial conditions.Main resultsSelf-reported COPD prevalence was 10.7%, similar to previous epidemiological studies. Individuals with COPD had more multimorbidity [modified Charlson score 2.6 (SD 1.9) vs. 1.6 (SD 1.6)], more functional disability (58.1 vs. 29.6%; adjusted OR 3.1, 95% CI 2.3, 4.3), falls in the last year (28.4 vs. 20.8%; adjusted OR 1.4, 95% CI 1.01, 2.0), impaired physical function (75.8 vs. 56.6%; adjusted OR 2.1, 95% CI 1.1, 3.7), more frequently reported extreme low physical activity (18.7 vs. 8.1%; adjusted OR 2.3, 95% CI 1.5, 3.5) and higher frailty prevalence (16.0 vs. 2.7%; adjusted OR 6.3, 95% CI 3.0,13.0) than those without COPD. They experienced more severe polypharmacy (≥10 medications, 37.5 vs. 16.1%; adjusted OR 2.9, 95% CI 2.0, 4.2). They more frequently reported extreme social disengagement and were lonelier, but the association with social measures was eliminated when relationship status was accounted for, as those with COPD were less frequently partnered. They more frequently endorsed depressive symptoms (32.0 vs. 18.9%, adjusted OR 1.9, 95% CI 1.4, 2.7). There was no noted difference in cognitive impairment between the two populations.ConclusionsGeriatric conditions are common among community-dwelling older adults with self-reported COPD. A "beyond the lung" approach to COPD care should center on active management of geriatric conditions, potentially leading to improved COPD management, and quality of life.

Project description:BackgroundAs the population ages, hypertension has become the leading risk factor for cardiovascular diseases (CVDs) and premature deaths worldwide. Accurate monitoring of CVD risks and planning community-based public health interventions require reliable estimates of hypertension prevalence and management. While the validity of self-reporting in assessing hypertension prevalence has been debated, the concordance between self-reports and clinical measurements of hypertension control remains underexplored, particularly in large, community-based older populations. This study aims to examine the agreement between self-reported and objectively measured data on both hypertension diagnosis and control, as well as the associated factors, among community-dwelling middle-aged and older Chinese adults.MethodsData from the China Health and Retirement Longitudinal Study were utilized, with household survey responses combined with biomedical data. Sensitivity, specificity, and kappa coefficients were used to assess the agreement between self-reported and objectively measured hypertension diagnosis in the general sample, and the agreement on hypertension control among individuals who reported having hypertension. Binary and multinomial logistic regression analyses were conducted to identify individual, household, and community-level factors associated with the agreement.ResultsSelf-reports exhibited substantial sensitivity, excellent specificity, and moderate agreement with objective measurements for hypertension diagnosis, while demonstrating fair sensitivity, excellent specificity, but low agreement for hypertension control. The odds of agreement on hypertension diagnosis were negatively associated with older age and heavy drinking, but positively related to marital status, higher education, chronic kidney disease, recent healthcare service utilization, and higher household economic levels. Meanwhile, the likelihood of agreement on hypertension control was negatively associated with older age, comorbid diabetes or cardiovascular disease, heavy drinking, BMI over 25, and antihypertensive medication adherence, but positively associated with recently healthcare service utilization.ConclusionsSelf-reporting underestimated hypertension prevalence but significantly overestimated the hypertension control rates. For middle-aged and older Chinese adults, individual-level factors including age, multimorbidity, behavioural risks, and healthcare-seeking behaviours were identified as significant predictors of agreement between self-reported and objectively measured hypertension data. Recognizing these factors is essential for improving the accuracy of chronic condition estimates and facilitating targeted chronic disease management programs for China's aging population and other developing countries with similar demographic and health challenges.

Dataset Information

Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.

Aims

Methods

Results

Conclusion

Publications

Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets