tianfeng he

Prof. tianfeng he

Ningbo University
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 May 2020 in BMC Public Health
Verified
Journal Article
Open access
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LLLefan Liu
Lefan Liu
XQXujun Qian
Xujun Qian
ZCZhuo Chen
Zhuo Chen
tianfeng hetianfeng he
tianfeng he
Background: Improving health literacy is an important public health goal in many countries. Although many studies have suggested that low health literacy has adverse effects on an individual’s health outcomes, confounding factors are often not accounted. This paper examines the interplay between health literacy and chronic disease prevention. Methods: A population-based sample of 8194 participants aged 15–69 years old in Ningbo were used from China’s 2017 National Health Literacy Surveillance Data. We use multivariate regression analysis to disentangle the relationship between health literacy and chronic disease prevention. Results: We find the association between health literacy and the occurrence of the first chronic condition is attenuated after we adjust the results for age and education. This might arise because having one or more chronic conditions is associated with better knowledge about chronic diseases, thus improve their health literacy. More importantly, we find health literacy is associated with a reduction in the likelihood of having a comorbid condition. However, this protective effect is only found among urban residents, suggesting health literacy might be a key factor explaining the rural-urban disparity in health outcomes. Conclusion: Our findings highlight the important role of health literacy in preventing comorbidities instead of preventing the first chronic condition. Moreover, family support could help improve health literacy and result in beneficial effects on health.

5 November 2016 in BMC Public Health
Verified
Journal Article
Open access
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XQXujun Qian
Xujun Qian
GXGuozhang Xu
Guozhang Xu
LLLi Li
Li Li
YSYueping Shen
Yueping Shen
tianfeng hetianfeng he
tianfeng he
JXJiaying Xu
Jiaying Xu
The residents’ knowledge, attitudes and practices related to ambient air pollution and health will help to improve the understanding of environmental protection and make environmental health policies more targeted and effective. This study aimed at knowing the attitudes and behaviors towards ambient air pollution and health. A cross-sectional survey was conducted in Ningbo, China in January 2015. Personal information and questions pertaining to the knowledge, attitudes and practices towards ambient air pollution and health were collected through questionnaire investigations. Descriptive statistics, chi-square tests and multiple unconditional logistic regression analysis were used. The questionnaire was completed by 1604 respondents (59.41 % women). The awareness rate was 64.59 % and varied significantly with age, levels of education, and occupation (all p < 0.05). Only 5.80 % of the total participants were satisfied with the air quality in Ningbo in 2014. Most respondents (78.80 %) expressed concern about the possible aggravation of the haze. More than 80 % of participants believed that it will take at least 3-5 years or longer before the air quality is improved. Television and internet resources have replaced books and newspapers as the primary sources for obtaining knowledge about haze and related protective measures. 85.22 % of respondents were concerned about air quality index (AQI). Most of the residents have taken protective measures indoors during haze weather. 48.50 % have worn face masks when going outside, the most frequently type of face masks selected were cotton (39.85 %) or gauze face masks (36.24 %). Age and occupation were the main factors associated with the level of knowledge about air pollution (p < 0.05). There were a relatively high knowledge awareness rate, strong health protection consciousness and high enthusiasm for air pollution control among Ningbo residents. The elderly people and less-educated residents are the targetable population for improving environment.

4 June 2012 in Journal of Clinical Virology
Verified
Journal Article
Closed access
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HNHongxia Ni
Hongxia Ni
BYBo Yi
Bo Yi
JYJianhua Yin
Jianhua Yin
TFTing Fang
Ting Fang
tianfeng hetianfeng he
tianfeng he
GCGuangwen Cao
Guangwen Cao

1 November 2018 in Environmental Pollution
Verified
Journal Article
Closed access
JHJing Huang
Jing Huang
GLGuoxing Li
Guoxing Li
GXGuozhang Xu
Guozhang Xu
XQXujun Qian
Xujun Qian
YZYan Zhao
Yan Zhao
XGXinbiao Guo
Xinbiao Guo

1 March 2016 in Scientific Reports
Verified
Journal Article
Open access
PDF file
tianfeng hetianfeng he
tianfeng he
ZYZuyao Yang
Zuyao Yang
TLTao Liu
Tao Liu
YSYueping Shen
Yueping Shen
XFXiaohong Fu
Xiaohong Fu
JTJinling Tang
Jinling Tang
To evaluate the burden of air pollution on years of life lost (YLL) in addition to mortality, we conducted a time series analysis based on the data on air pollution, meteorological conditions and 163,704 non-accidental deaths of Ningbo, China, 2009–2013. The mean concentrations of particulate matter with aerodynamic diameter <10 μm, particulate matter with aerodynamic diameter <2.5 μm, sulfur dioxide and nitrogen dioxide were 84.0 μg/m3, 60.1 μg/m3, 25.1 μg/m3 and 41.7 μg/m3, respectively. An increase of 10-μg/m3 in particulate matter with aerodynamic diameter <10 μm, particulate matter with aerodynamic diameter <2.5 μm, sulfur dioxide and nitrogen dioxide was associated with 4.27 (95% confidence interval [CI] 1.17–7.38), 2.97 (95% CI −2.01–7.95), 29.98 (95% CI 19.21–40.76) and 16.58 (95% CI 8.19–24.97) YLL, respectively and 0.53% (95% CI 0.29–0.76%), 0.57% (95% CI 0.20–0.95%), 2.89% (95% CI 2.04–3.76%) and 1.65% (95% CI 1.01–2.30%) increase of daily death counts, respectively. The impact of air pollution lasted for four days (lag 0–3) and were more significant in the elderly than in the young population for both outcomes. These findings clarify the burden of air pollution on YLL and highlight the importance and urgency of air pollution control in China.

1 June 2021 in Environmental Research
Verified
Journal Article
Closed access
RCRu Cao
Ru Cao
YWYuxin Wang
Yuxin Wang
JHJing Huang
Jing Huang
QZQiang Zeng
Qiang Zeng
XPXiaochuan Pan
Xiaochuan Pan
tianfeng hetianfeng he
tianfeng he