Research Article
Associations Between Health Behaviors and Psychological Status Among Surveyed Residents in Rui’an City During Influenza Epidemic Seasons
Cai Jianze,
Deng Jiankai*,
He Surong
Issue:
Volume 14, Issue 5, October 2026
Pages:
266-272
Received:
11 June 2026
Accepted:
28 July 2026
Published:
26 August 2026
DOI:
10.11648/j.sr.20261405.11
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Abstract: Objective To investigate the health behaviors and psychological status of residents surveyed in Rui’an City during influenza seasons, analyze the correlation characteristics between these two factors and influenza-related indicators, and provide evidence for formulating regional public health intervention strategies in Rui’an. Methods A cross-sectional survey was conducted. Online questionnaires combined with snowball sampling were adopted to investigate permanent residents aged 18 years and above in Rui’an City. Descriptive statistics, Chi-square (χ²) test and Logistic regression analysis were performed to analyze the correlations among various indicators. Results A total of 489 questionnaires were collected, with an effective response rate of 90.9%. The self-reported influenza prevalence was 34.7%, and the influenza vaccination coverage rate was 23.5%. The adoption rates of basic protective behaviors such as mask-wearing and frequent hand washing reached 95.1% and 88.7% respectively. In total, 27.3% of respondents worried about contracting influenza themselves, 45.0% worried about their family members being infected, and 47.9% experienced moderate or higher psychological stress. Univariate analysis revealed that gender, age, chronic disease history and influenza infection history were statistically correlated with vaccination status and psychological stress. Logistic regression analysis indicated that age ≥61 years (OR=2.31) and prior influenza infection (OR=1.89) were positively associated with influenza-related anxiety, while adequate mastery of influenza-related knowledge (OR=0.42) was negatively associated with anxiety. Conclusion The respondents exhibited favorable adherence to basic protective behaviors, yet vaccination coverage remained low, and collective psychological stress as well as influenza-related anxiety were prominent. A three-in-one comprehensive intervention strategy integrating behavior, psychology and health information is recommended.
Abstract: Objective To investigate the health behaviors and psychological status of residents surveyed in Rui’an City during influenza seasons, analyze the correlation characteristics between these two factors and influenza-related indicators, and provide evidence for formulating regional public health intervention strategies in Rui’an. Methods A cross-secti...
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Research Article
Risk Identification of Abdominal Obesity in Chinese Working-Aged Adults Based on Multidimensional Lifestyle Data and Its Implications for AI-Driven Health Management
Issue:
Volume 14, Issue 5, October 2026
Pages:
273-279
Received:
18 June 2026
Accepted:
9 July 2026
Published:
26 August 2026
DOI:
10.11648/j.sr.20261405.12
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Abstract: This cross-sectional study aimed to assess the prevalence of abdominal obesity and identify modifiable risk factors among working-aged adults (aged 18–65 years) in urban and rural China using multidimensional lifestyle data, and to explore the translational implications for AI-driven health management. A survey was conducted in Nanjing from 2024 to 2025, enrolling 1,014 working-aged adults from both urban and rural areas. Multidimensional data were collected, encompassing sociodemographic characteristics, occupational attributes, commuting modes, lifestyle behaviors, dietary patterns, and nutrition knowledge awareness. Multivariate unconditional logistic regression was employed to identify independent risk and protective factors for abdominal obesity after adjusting for potential confounders, and the applicability of these variables as core inputs for AI-based health management systems was further evaluated based on their data accessibility and clinical interpretability. The overall prevalence of abdominal obesity was 58.5% (593/1,014). Multivariate logistic regression revealed that female sex (OR=2.671), consumption of baijiu (Chinese liquor, OR=2.812), intake of sugar-sweetened beverages (OR=4.433), and habitual tea drinking (OR=5.698) were independently associated with increased odds of abdominal obesity (all P < 0.05), while walking to work emerged as a significant protective factor (P < 0.05). All identified variables demonstrated satisfactory data availability and clinical interpretability, supporting their integration as key input features in AI-driven health management models. The prevalence of abdominal obesity among Chinese working-aged adults is alarmingly high, affecting nearly three in five individuals. The multidimensional modifiable factors identified not only provide actionable targets for conventional interventions but also constitute an interpretable feature set for AI-based health management systems. Future research may integrate real-time data from wearable devices with deep learning algorithms to establish an intelligent platform encompassing risk stratification, dynamic early warning, and personalized intervention, facilitating a paradigm shift from reactive treatment to proactive prevention in occupational health and offering empirical evidence for AI-empowered chronic disease control.
Abstract: This cross-sectional study aimed to assess the prevalence of abdominal obesity and identify modifiable risk factors among working-aged adults (aged 18–65 years) in urban and rural China using multidimensional lifestyle data, and to explore the translational implications for AI-driven health management. A survey was conducted in Nanjing from 2024 to...
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Cai Jinyi
