Multiple negative health outcomes were linked to residential proximity to major roadways. Nevertheless, there is limited knowledge regarding the association between residential proximity to major ...roadways and chronic multimorbidity.
We used data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey, which included 12,214 individuals aged ≥ 60. We derived the residential proximity to major roadways from self-reported data, defining chronic multimorbidity as the presence of two or more concurrent chronic diseases. A binary logistic regression model was utilized to investigate the association between residential proximity to major roadways and chronic multimorbidity. The model accounted for some demographic features, socioeconomic conditions, social participation, and health conditions. Subsequently, we conducted subgroup analyses to examine potential interaction effects.
Residential proximity to major roadways was associated with chronic multimorbidity, even after adjusting for confounding factors. Compared with those living > 300 m from major roadways, the OR for those living 201-300 m, 101-200 m, 50-100 m, and < 50 m were increased. When subgroup analyses were conducted using a cutoff point of 200 m, the risk of chronic multimorbidity associated with residential proximity to major roadways was stronger in participants with education levels > 6 years (P = 0.017).
Our findings provide important implications for improving residential area siting, transportation policies, and environmental regulations to reduce the risk of chronic multimorbidity caused by traffic-related exposure.
The coronavirus disease 2019 (COVID-19) pandemic has presented numerous challenges to public health, including the emergence of subjective dry eye symptoms among individuals. However, there is ...currently a dearth of comprehensive knowledge regarding the associated factors with subjective dry eye symptoms in the general population.
A nationwide survey in China was carried out from 20 June to 31 August 2022, involving 21 916 participants. Subjective dry eye symptoms were assessed using the Ocular Surface Disease Index-6. We employed random forest classification to select potential associated factors based on the socioecological model. We also conducted univariate and multivariable logistic regression analyses to explore the factors associated with subjective dry eye symptoms. Network analyses were employed to explore the network structure of subjective dry eye symptoms and associated factors.
The item "watching TV (or similar task)" displayed the highest node strength and exhibited the highest predictability within the network. The results of the multivariate logistic regression analysis demonstrated significant associations between subjective dry eye symptoms and several factors, including loneliness (odds ratio (OR) = 1.29; 95% confidence interval (CI) = 1.26 to 1.32), problematic Internet use (OR = 1.08; 95% CI = 1.08 to 1.09), family communication (OR = 1.01; 95% CI = 1.00 to 1.01), the presence of depression (OR = 1.53; 95% CI = 1.39 to 1.68) and anxiety (OR = 1.31; 95% CI = 1.17 to 1.47) symptoms, older age (OR = 1.01; 95% CI = 1.01 to 1.01), self-rated health status (OR = 0.99; 95% CI = 0.98 to 0.99), family health (OR = 0.97; 95% CI = 0.96 to 0.97), health literacy (OR = 0.98; 95% CI = 0.97 to 0.99) and the agreeableness personality trait (OR = 0.97; 95% CI = 0.95 to 0.99).
These findings have important implications for public health interventions targeting the prevention and management of subjective dry eye symptoms in the general population. Strategies addressing individual risk factors and supporting psychological well-being may prove beneficial in mitigating the burden associated with subjective dry eye symptoms.
•The study revealed that in the depression symptom network of urban residents, the most central symptom was “feeling blue/depressed”, followed by “everything was an effort” and “Loneliness”.•Among ...those residing in rural areas, the most central symptom in the depression network was “feeling blue/depressed,” succeeded by “everything was an effort” and “inability to get going”.•The findings of this study shed light on the noteworthy urban-rural differences in the network structure of depressive symptoms among older adults with multiple chronic conditions.•These differences emphasize the need for region-specific approaches to understanding and addressing depression.
Evidence on the differences in depressive symptoms among older adults with multiple chronic conditions (MCCs) in urban and rural areas is limited.
Measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale-10) and demographic factors (age, gender, and urban-rural distribution) were used.
A total of 4021 older adults with MCCs were included in this study. Significant differences were observed in both network global strength (Urban: 3.989 vs. Rural: 3.703, S = 0.286, p = 0.003) and network structure (M = 0.139, p = 0.002) between urban and rural residents.
The study highlights the need for region-specific approaches to understanding and addressing depression and holds the potential to enhance understanding of the psychological health status of older adults with MCCs in urban and rural settings.
Bluetooth Data Acquisition System Based on ARM Sun Hongjun; Peng Xuange; Huang Fengling
2009 First International Workshop on Education Technology and Computer Science,
2009-March, Letnik:
1
Conference Proceeding
In response to the complexity of the cable, the occurrence of accidents and completing the task without cables in industrial field, an embedded Bluetooth data acquisition system which was combined ...with Bluetooth wireless-networking communication technicalness and data acquisition technicalness, based on LPC2142 and bluethooth chip called Rok101008 is designed to reduce cable connection.The major difference with other data collector is that it has achieved the wireless data transmission after the A/D conversion.Itpsilas also more simple in circuit, stronger in integration anti-interference, mobility and practicality, it can be widely used in the complex environment of the industrial field.
An independent dual-core structure of river sediment image data transmission system based on DSP and ARM, it uses dual audio frequency signals to transmit, and adopts Kalman filter algorithm with ...prediction function, it also has improved robustness PID controller. The system compress codes through DSP system then transmit good-dealt image codes to ARM system, the ARM system would pack the compress codes from DSP through network protocol, and send as demand through network gateway. This system has solved the interference produced by wireless wave of cable support and environment around during transmission, which could influence the test work, or even unable do it. This system put embedded technology, video technology and network technology together organically. It has many features, such as reliability data transmission, use easily, convenient and so on. It also can provide an advanced hydrological detective method for image detect river segment research.
