ArticleHealthcare (Basel, Switzerland)2020
Impacts of Anthropometric, Biochemical, Socio-demographic, and Dietary Habits Factors on the Health Status of Urban Corporate People in a Developing Country.
Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Prevalence and risk factors of hypertension in rural Bangladesh: A population-based cross-sectional study.PloS one · 2026Article
- Beyond Boundaries: A Comprehensive Review of Anthropometric Indices in Urban and Rural India.Cureus · 2024Review
- Ruminal microbiota and muscle metabolome characteristics of Tibetan plateau yaks fed different dietary protein levels.Frontiers in microbiology · 2024Article
- A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study.JMIR diabetes · 2023Article
- Prevalence of Underweight, Overweight and Obesity among Adults in Urban Bissau, Western Africa.Nutrients · 2021Article
- Redesigning Portable Health Clinic Platform as a Remote Healthcare System to Tackle COVID-19 Pandemic Situation in Unreached Communities.International journal of environmental research and public health · 2020Article
- Reference values for sit-to-stand tests in Colombian adults: a multicenter cross-sectional study.Colombia medica (Cali, Colombia)Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study focused on urban corporate people and applied multinomial logistic regression (MLR) to identify the impact of anthropometric, biochemical, socio-demographic and dietary habit factors on health status. Health status is categorized into four levels: healthy, caution, affected, and emergent. A cross-sectional study, based on convenience sampling method, was conducted to select 271 employees from 18 institutions under the Grameen Bank Complex, Dhaka, Bangladesh. Biochemical measurements such as blood uric acid are highly significant variables in the MLR model. When holding other factors as constants, with a one-unit increase in blood uric acid, a person is 11.02 times more likely to be "emergent" compared to "caution". The odds are also higher, at 1.82, for the blood uric acid to be "affected" compared "caution". The results of this study can help to prevent a large proportion of non-communicable diseases (NCDs) by reducing the most significant risk factor: blood uric acid. This study can contribute to the establishment of combined actions to improve disease management.
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Registered trials
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