Haifeng Hou

Dr. Haifeng Hou


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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10 February 2018 in Journal of Global Health
Verified
Journal Article
Open access
HHHaifeng Hou
Haifeng Hou
YZYange Zhao
Yange Zhao
WYWenqing Yu
Wenqing Yu
HDHualei Dong
Hualei Dong
XXXiaotong Xue
Xiaotong Xue
Wei WangWei Wang
Wei Wang
Obstructive sleep apnea (OSA) is a sleep disorder characterized as complete or partial upper airflow cessation during sleep. Although it has been widely accepted that OSA is a risk factor for the development of hypertension, the studies focusing on this topic revealed inconsistent results. We aimed to clarify the association between OSA and hypertension, including essential and medication-resistant hypertension. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was followed. PubMed and Embase databases were used for searching the relevant studies published up to December 31, 2016. A quantitative approach of meta-analysis was performed to estimate the pooled odds ratio (OR) and 95% confidence interval (CI). Twenty-six studies with 51 623 participants (28 314 men, 23 309 women; mean age 51.8 years) met inclusion criteria and were included in this study. Among them, six studies showed a significant association between OSA and resistant hypertension (pooled OR = 2.842, 95% CI = 1.703-3.980, P < 0.05). Meanwhile, the combination of 20 original studies on the association of OSA with essential hypertension also presented significant results with the pooled ORs of 1.184 (95% CI = 1.093-1.274, P < 0.05) for mild OSA, 1.316 (95% CI = 1.197-1.433, P < 0.05) for moderate OSA and 1.561 (95% CI = 1.287-1.835, P < 0.05) for severe OSA. Our findings indicated that OSA is related to an increased risk of resistant hypertension. Mild, moderate and severe OSA are associated essential hypertension, as well a dose-response manner relationship is manifested. The associations are relatively stronger among Caucasians and male OSA patients.

1 November 2020 in Sleep Medicine
Verified
Journal Article
Closed access
TWTao Wei
Tao Wei
CLCancan Li
Cancan Li
YHYuanyuan Heng
Yuanyuan Heng
XGXiang Gao
Xiang Gao
GZGuimei Zhang
Guimei Zhang
HHHaifeng Hou
Haifeng Hou

23 June 2020 in Frontiers in Oncology
Verified
Journal Article
Open access
PDF file
ADAishe Dun
Aishe Dun
XZXuan Zhao
Xuan Zhao
XJXu Jin
Xu Jin
TWTao Wei
Tao Wei
XGXiang Gao
Xiang Gao
HHHaifeng Hou
Haifeng Hou
Background: Nightshift work introduces light at night and causes circadian rhythm among night workers, who are considered to be at increased risk of cancer. However, in the last 2 years, nine population-based studies reported insignificant associations between night-shift work and cancer risks. We aimed to conduct an updated systematic review and meta-analysis to ascertain the effect of night-shift work on the incidence of cancers. Methods: Our protocol was registered in PROSPERO and complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Embase, PubMed, and Web of Science databases were used to comprehensively search studies published up to May 31, 2019. The random-effect model (Der Simonian-Laird method) was carried out to combine the risk estimates of night-shift work for cancers. The dose-response meta-analysis was performed to verify whether the association was in a dose-dependent manner. Results: Our literature searching retrieved 1,660 publications. Included in the meta-analyses were 57 eligible studies with 8,477,849 participants (mean age 55 years; 2,560,886 men, 4,220,154 women, and 1,696,809 not mentioned). The pooled results showed that night-shift work was not associated with the risk of breast cancer (OR = 1.009, 95% CI = 0.984–1.033), prostate cancer (OR = 1.027, 95% CI = 0.982–1.071), ovarian cancer (OR = 1.027, 95% CI = 0.942–1.113), pancreatic cancer (OR = 1.007, 95% CI = 0.910–1.104), colorectal cancer (OR = 1.016, 95% CI = 0.964–1.068), non-Hodgkin's lymph (OR = 1.046, 95% CI = 0.994–1.098), and stomach cancer (OR = 1.064, 95% CI = 0.971–1.157), while night-shift work was associated with a reduction of lung cancer (OR = 0.949, 95% CI = 0.903–0.996), and skin cancer (OR = 0.916, 95% CI = 0.879–0.953). The dose-response meta-analysis found that cancer risk was not significantly elevated with the increased light exposure of night- shift work. Conclusion: This systematic review of 57 observational studies did not find an overall association between ever-exposure to night-shift work and the risk of breast, prostate ovarian, pancreatic, colorectal, non-Hodgkin's lymph, and stomach cancers.

28 August 2018 in EPMA Journal
Verified
Journal Article
Closed access
PDF file
HHHaifeng Hou
Haifeng Hou
XFXia Feng
Xia Feng
YLYuejin Li
Yuejin Li
ZMZixiu Meng
Zixiu Meng
DGDongmei Guo
Dongmei Guo
Wei WangWei Wang
Wei Wang

2 July 2019 in BioMed Research International
Verified
Journal Article
Open access
XFXia Feng
Xia Feng
XXXizhu Xu
Xizhu Xu
YSYanjun Shi
Yanjun Shi
XLXuezhen Liu
Xuezhen Liu
HLHuamin Liu
Huamin Liu
DLDong Li
Dong Li
Background. Extensive studies have been carried out to investigate the association between obesity and the risk of rheumatoid arthritis (RA); however, the results of the current reported original studies remain inconsistent. This study aimed to clarify the relationship between body mass index and rheumatoid arthritis by conducting an updated overall and dose-response meta-analysis. Methods. The relevant literature was searched using the PubMed and Embase databases (through 20 September 2018) to identify all eligible published studies. Random-effect models and dose-response meta-analyses were used to estimate the pooled risk ratio (RR) with a 95% confidence interval (CI). Subgroup analyses were also conducted based on the characteristics of the participants. Sensitivity analyses and publication bias tests were also performed to explore potential heterogeneity and bias in the meta-analysis. Results. Sixteen studies that included a total of 406,584 participants were included in the meta-analysis. Compared to participants with normal weight, the pooled RRs of rheumatoid arthritis were 1.12 (95% CI, 1.04-1.20) in overweight and 1.23 (95% CI, 1.09-1.39) in obese participants. There was evidence of a nonlinear relationship between body mass index (BMI) and RA (P  for nonlinearity less than 0.001 in the overall meta-analysis, P for nonlinearity=0.025 in the case-control studies, P for nonlinearity=0.0029 in the cohort studies). No significant heterogeneity was found among studies (I2=10.9% for overweight and I2=45.5% for obesity). Conclusion. The overall and dose-response meta-analysis showed that increased BMI was associated with an increased risk for rheumatoid arthritis, which might present a prevention strategy for the prevention or control of rheumatoid arthritis. The nonlinear relationship between BMI and RA might present a personal prevention strategy for RA.

1 November 2018 in Medicine
Verified
Journal Article
Open access
XLXuezhen Liu
Xuezhen Liu
QSQi Sun
Qi Sun
HHHaifeng Hou
Haifeng Hou
KZKai Zhu
Kai Zhu
QWQian Wang
Qian Wang
DLDong Li
Dong Li
Objective: Obesity is considered as one of the risk factors of kidney cancer. However, the results are not consistent in reported original studies, as well as in published meta-analysis. This study aims to clarify the relationship between overweight/obesity and kidney cancer by an updated overall and dose-response meta-analysis. Methods: This meta-analysis was conducted in accordance with PRISMA guideline. Relevant studies were searched using PubMed, Embase, and Web of Science databases. The studies were limited to human cohort studies in English and Chinese language. Random-effect models and dose-response meta-analysis were used to synthesize the results. Subgroup analyses were also conducted based on the characteristics of participants. Results: Twenty-four cohort studies with 8,953,478 participants were included in our meta-analysis. Compared to the normal weight, the pooled RRs of kidney cancer was 1.35 (1.27–1.43) in overweight and 1.76 (1.61–1.91) in obese participants. An increased kidney cancer risk of 1.06 (1.05–1.06) for each 1 kg/m 2 increase in BMI was showed in dose-response meta-analysis. No significant heterogeneity was found across studies with I 2 = 39.4% for overweight, and I 2 = 43.3% for obesity. Conclusion: The overall and dose-response meta-analysis suggested that overweight/obesity increases the risk of kidney cancer both in men and women.