# Analysis of the health status and its influencing factors of the low-income populations in Wuxi, China

**Authors:** Shiming Li, Ying Jiang, Yue Wu, Yingying Ji, Lin Tian, Queping Yang, Haohao Zhu

PMC · DOI: 10.3389/fpubh.2024.1424448 · Frontiers in Public Health · 2024-09-11

## TL;DR

This study examines the health conditions and risk factors among low-income people in Wuxi, China, finding high disease rates and key contributing factors like age and smoking.

## Contribution

The study identifies specific risk and protective factors for disease in low-income populations using logistic regression analysis.

## Key findings

- The disease rate among low-income participants was 89.68%.
- Age ≥60, poor mental health, smoking, and high pulse pressure were significant risk factors for disease.
- Being female was found to be a protective factor for physical health.

## Abstract

To understand the physical health condition and its influencing factors among the low-income population.

Low-income residents who visited or consulted at our Hospital during 2022 were selected for this study. Through telephone or face-to-face interviews, a self-made basic information questionnaire was used for data collection. The physical health level of the low-income population was analyzed, and a logistic regression model was applied to study its influencing factors.

A total of 2,307 people were included in this study, of which 2,069 had various types of diseases, indicating a disease rate of 89.68%. Multivariate logistic regression analysis showed that age ≥ 60 years old (OR = 1.567, 95%CI: 1.122–2.188), poor mental health status (OR = 2.450, 95%CI: 1.203–3.678), smoking (OR = 1.752, 95%CI: 1.269–2.206), pulse pressure difference ≥ 60 (OR = 1.485, 95%CI: 1.164–1.787), and poor hearing (OR = 1.268, 95%CI: 1.026–1.324) were risk factors for disease, whereas being female (OR = 0.729, 95%CI: 0.540–0.984) was a protective factor for physical health.

As a developing country with a large population, we should particularly focus on the physical health issues of the low-income population, take targeted measures for disease situations, and improve the quality of life of the low-income population.

## Full-text entities

- **Diseases:** carcinogenic (MESH:D011230), Smoking (MESH:D015208), substance dependence (MESH:D019966), chronic disease (MESH:D002908), malnutrition (MESH:D044342), emphysema (MESH:D004646), decreased hearing (MESH:D034381), hepatitis (MESH:D056486), bronchitis (MESH:D001991), hepatitis B (MESH:D006509), mental illness (MESH:D001523), tuberculosis (MESH:D014376), diabetes (MESH:D003920), chronic bronchitis (MESH:D029481), lung diseases (MESH:D008171), mental system abnormalities (MESH:D008607), anxiety (MESH:D001007), kidney disease (MESH:D007674), cirrhosis (MESH:D005355), coronary heart disease (MESH:D003327), stroke (MESH:D020521), hypertension (MESH:D006973), hepatitis C (MESH:D019698), cancer (MESH:D009369), infectious diseases (MESH:D003141), heart attack (MESH:D009203), depression (MESH:D003866)
- **Chemicals:** nicotine (MESH:D009538), alcohol (MESH:D000438)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC11422097/full.md

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Source: https://tomesphere.com/paper/PMC11422097