Objective: To investigate the clinicopathological characteristics of occupational lung diseases, to reduce the missed diagnoses and misdiagnoses of the diseases and to help standardize the diagnosis and treatment of these patients. Methods: A total of 4 813 lung biopsy specimens (including 1 935 consultation cases) collected at the Department of Pathology, Nanjing Drum Tower Hospital, Nanjing, China from January 1st, 2017 to December 31th, 2019 were retrospectively analyzed. Among them, 126 cases of occupational lung diseases were confirmed with clinical-radiological-pathological diagnosis. Special staining, PCR and scanning electron microscopy were also used to rule out the major differential diagnoses. Results: The 126 patients with occupational lung diseases included 102 males and 24 females. All of them had a history of exposure to occupational risk factor(s). Morphologically, 68.3% (86/126) of the cases mainly showed pulmonary fibrotic nodules, dust plaque formation or carbon end deposition in pulmonary parenchyma. 16.7% (21/126) of the cases mainly showed welding smoke particle deposition in the alveolar cavity and lung interstitium while 15.1% (19/126) of the cases showed granulomas with fibrous tissue hyperplasia, alveolar protein deposition or giant cell interstitial pneumonia. The qualitative and semi-quantitative analyses of residual dust components in the lung under scanning electron microscope were helpful for the diagnosis of welder's pneumoconiosis and hard metal lung disease. Conclusions: The morphological characteristics of lung biopsy tissue are important reference basis for the clinicopathological diagnosis and differential diagnosis of occupational lung diseases. Recognizing the characteristic morphology and proper use of auxiliary examination are the key to an accurate diagnosis of occupational lung diseases on biopsy specimens.
Male ; Female ; Humans ; Retrospective Studies ; Pneumoconiosis/pathology* ; Lung/pathology* ; Dust ; Pneumonia, Viral/pathology* ; Biopsy

OBJECTIVE: To investigate the spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody, and to examine the correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, so as to provide insights into advanced schistosomiais control in the province. METHODS: The epidemiological data of schistosomiasis in Hunan Province in 2020 were collected, including number of permanent residents in survey villages, number of advanced schistosomiasis patients, number of residents receiving serological tests and number of residents seropositive for anti-Schistosoma antibody, and the prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were descriptively analyzed. Village-based spatial distribution characteristics of prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were identified in Hunan Province in 2020, and the correlation between the revalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody was examined using Spearman correlation analysis. RESULTS: The prevalence of advanced schistosomiasis was 0 to 2.72% and the seroprevalence of anti-Schistosoma antibody was 0 to 20.25% in 1 153 schistosomiasis-endemic villages in Hunan Province in 2020. Spatial clusters were identified in both the prevalence of advanced schistosomiasis (global Moran's I = 0.416, P < 0.01) and the seroprevalence of anti-Schistosoma antibody (global Moran's I = 0.711, P < 0.01) in Hunan Province. Local spatial autocorrelation analysis identified 98 schistosomiasis-endemic villages with high-high clusters of the prevalence of advanced schistosomiasis, 134 endemic villages with high-high clusters of the seroprevalence of anti-Schistosoma antibody and 36 endemic villages with high-high clusters of both the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province. In addition, spearman correlation analysis showed a positive correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody (r_s = 0.235, P < 0.05). CONCLUSIONS There were spatial clusters of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, which were predominantly located in areas neighboring the Dongting Lake. These clusters should be given a high priority in the schistosomiasis control programs.
Animals ; Humans ; Prevalence ; Seroepidemiologic Studies ; Schistosomiasis/epidemiology* ; Schistosoma ; Spatial Analysis ; Antibodies, Helminth ; China/epidemiology*

Hearing ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Manufacturing Industry ; Noise, Occupational/adverse effects* ; Occupational Exposure/adverse effects* ; Surveys and Questionnaires

Acute Lung Injury ; Animals ; Autophagy ; Explosions ; Lung ; Rats ; Rats, Sprague-Dawley

Objective: To analyze the burden of disease (BOD) on diabetes attributable to high BMI in China from 1990 to 2016. Methods: Data based on population of the 2016 Global Burden of Disease Study for China were used to analyze the attributable fractions (PAF) of BOD for diabetes attributable to high BMI. Measurements for attributable BOD of diabetes included disability adjusted life years (DALY), years of lost life (YLL), years living with disability (YLD), death number and mortality rate. The average world population from 2010 to 2035 was used as a reference. Results: In 2016, death number of diabetes attributable to high BMI was 40 310, which was significantly higher than that in 1990 (15 008). Age-standardized death rate of diabetes attributable to high BMI increased from 2.01/100 000 in 1990 to 2.60/100 000 in 2016, which showed a more significant increasing trend in both males and people aged 15-49 years. DALYs of diabetes attributable to high BMI increased from 1.09 million person years to 3.30 million person years. YLL and YLD also showed increasing trends. The highest increasing rate of YLD was in people aged 15-49 years. High BMI was responsible for 26.01% of the diabetes deaths in 2016 in China, an increase of 39.39% compared with that in 1990 (18.66%). Most provinces in China experienced a sharp increase of DALY of diabetes attributable to high BMI from 1990 to 2016. Inner Mongolia, Xinjiang, Zhejiang, Macao SAR, Sichuan and Qinghai had the most significant increase tendency in terms of DALY rate during this period. Conclusions: There was a rapid increase of the deaths and mortality rate of diabetes attributable to high BMI, causing a heavy disease burden, in China from 1990 to 2016. The BOD varied in both different age and gender groups. More attention should be paid to males and people aged 15-49 years in the prevention and control programs of diabetes.
Adolescent ; Adult ; Body Mass Index ; China/epidemiology* ; Cost of Illness ; Diabetes Mellitus/ethnology* ; Disabled Persons ; Humans ; Macau ; Male ; Middle Aged ; Quality-Adjusted Life Years ; Sickness Impact Profile ; Young Adult

Objective: To examine the prevalence of 'healthy lifestyle' from data extracted from the China Kadoorie Biobank (CKB) of 0.5 million adults from ten areas across China. Methods: After excluding participants with self-reported histories of coronary heart disease, stroke or cancer, a total of 487 198 participants at baseline (2004-2008) and 22 604 participants at second survey (2013- 2014), were included for analysis. 'Healthy lifestyle' was defined as haing the following characteristics: a) never smoking or having stopped smoking for reasons other than illness; b) alcohol drinking <25 g/day (men)/<15 g/day (women); c) diet rich in vegetables, fruits, legumes and fish, but low in red meat; d) upper quarter of the physical activity level; e) body mass index of 18.5-23.9 kg/m(2) and waist circumstance <85 cm (men)/80 cm (women). We calculated the healthy lifestyle scores (HLS) by counting the number of all the healthy lifestyle factors, with a range from 0 to 6. Results: At baseline, prevalence rates of the above five healthy lifestyles (except physical activity) were 70.6%, 92.6%, 8.7%, 52.6% and 59.0%, respectively, with the mean HLS being 3.1±1.2. Most participants (81.4%) had2-4 healthy components, while only 0.7% (0.2% in men and 1.0% in women) of all the participants had all six healthy lifestyles. Participants who were women, at younger age, with more schooling and rural residents, were more likely to adhere to the healthy lifestyle. After ten years, the mean HLS showed a slight decrease. Conclusion: The prevalence of optimal lifestyles in Chinese adults appeared extremely low. Levels of 'healthy lifestyle' varied greatly among those populations with different socio-demographic characteristics across the ten areas in China.
Adult ; Asian People/statistics & numerical data* ; China ; Female ; Healthy Lifestyle ; Humans ; Life Style ; Male ; Prevalence ; Risk Factors

Objective: To assess the disease burden on uterine fibroids in China in 1990 and 2016. Methods: Data were extracted from the Global Burden of Disease Study 2016. Burdens of uterine fibrosis among different age groups and provinces were measured in 1990 and 2016, with key indicators including number of cases, prevalence rates, disability-adjusted life year (DALY) and the rates of DALY. The WHO world standard population, 2010-2035 was used to calculate the age- standardized rates. Results: In 1990 and 2016, there were 13 695 567 and 27 169 312 women aged 15 years and older, suffered from uterine fibrosis respectively, with prevalence rate as 2.48% and 4.10%, DALY as 146 045.05 life years and 281 976.67 life years, and the DALY rate as 26.40/100 000 and 42.50/100 000, in 1990 and 2016 respectively. Both the prevalence rate and the DALY rate increased with age, reaching the peak on the 45-49 years-old, in both 1990 and 2016. Women aged 40-54 years accounted for 55.60% (1990) and 66.74% (2016) of the total cases while 48.37% (1990) and 60.65% (2016) of the total DALY. The first three provinces with highest DALYs were Shandong (1990: 12 574.67 life year; 2016: 22 728.12 life year), Henan (1990: 10 849.29 life year; 2016: 18 454.32 life year) and Jiangsu (1990: 10 501.55 life year; 2016: 18 274.10 life year), while the three provinces with leading standardized DALY rates were Heilongjiang (1990: 48.20/100 000; 2016: 47.00/100 000), Shanxi (1990: 44.50/100 000; 2016: 47.70/100 000) and Tianjin (1990: 43.80/100 000; 2016: 46.40/100 000) in both 1990 and 2016. Compared with 1990, the number of cases with uterine fibroids increased by 13 473 745 (with rate of change as: 98.38%), standardized prevalence rate increased by 1.88%, DALY value increased by 135 931.62 life years (with the rate of change as 93.08%) and standardized DALY rate increased by 5.92% among Chinese women, in 2016. Conclusion: Menopausal women were the ones hard hit by uterine fibrosis. Compared with data from 1990, the disease burden of uterine fibrosis increased rapidly in China, in 2016.
Adolescent ; Adult ; Asian People/statistics & numerical data* ; China/epidemiology* ; Cost of Illness ; Disabled Persons ; Female ; Humans ; Leiomyoma/psychology* ; Middle Aged ; Quality-Adjusted Life Years ; Young Adult

Objective: To understand the characteristics on major strain subtypes of hepatitis C virus among HIV/HCV co-infected patients, so as to explore the molecular transmission clusters and related risk factors of HCV strains. Methods: A total of 336 newly reported HIV-infected patients were diagnosed as HIV/HCV co-infection in Dehong Dai and Jingpo autonomous prefecture (Dehong) in 2016. We used Nested PCR to amplify CE1 and NS5B genes among 318 samples with plasma levels above 200 μl, before using the combining phylogenetic tree and constructing molecular propagation network method to analyze the related data. Results: A total of 267 HIV/HCV co-infection patients who had met the HCV genotyping requirements were screened the gene subtypes were diversified. Among these genotypes, proportions of 3b, 6n, 6u, 1a, 3a and other subtypes appeared as 32.6% (87/267), 18.4% (49/267), 15.7%(42/267), 13.1%(35/267), 11.2%(30/267) and 9.0%(24/267) respectively. Molecular transmission network of five major HCV genotypes was constructed with a clustering rate of 39.1% (95/243). The clustering rate of subtype 1a was the highest, as 71.4% (25/35). Results from the multivariate logistic regression showed that ethnic minorities other than the Yi and Jingpo (vs. the Han, OR=0.17, 95%CI: 0.04-0.71), the married spouses (vs. the unmarried, OR=0.42, 95%CI: 0.18-0.94), the 6n and 3a subtype (vs. the 3b subtype, OR=0.34, 95%CI: 0.12-0.95; OR=0.22, 95%CI: 0.05-0.93) were more difficult to form transmission clusters. However, the 6u and 1a subtype (vs. the 3b subtype, OR=3.10, 95%CI: 1.21-7.94; OR=4.00, 95%CI: 1.32-12.11) seemed more likely to form the transmission clusters. Conclusion: Ethnicity, marital status and genetic subtypes were factors significantly associated with the formation of transmission clusters related to the major HCV gene subtypes among newly reported HIV/HCV co-infection in Dehong.
AIDS-Related Opportunistic Infections/virology* ; Asian People ; China/epidemiology* ; Coinfection ; Genotype ; HIV Infections/virology* ; Hepacivirus/isolation & purification* ; Hepatitis C/virology* ; Humans ; Phylogeny ; Polymerase Chain Reaction

Objective: To evaluate the frailty status and understand the relationship between the incidence of fall and frailty status in the elderly in Beijing. Methods: A cross-sectional study was conducted in old people aged ≥60 years in Longtan community of Dongcheng district in Beijing from November 2015 to January 2016. The information about any fall during the past year and frailty status of the elderly were collected with a standardized structured questionnaire in face-to-face interviews. The frailty status of elderly people was assessed with frailty index (FI) method. Logistic regression analysis was used to explore the relationship between fall and frailty status among the elderly. Results: Among 1 557 old people surveyed, the incidence of fall was 17.8% (277/1 557) during the past year. The incidence of fall in women (21.0%, 192/277) was statistically higher than that in men (13.3%, 85/277) (χ(2)=15.288, P=0.000). The median (quartile) value of FI of the elderly surveyed was 0.09 (0.08); and women had a higher FI median value than men [0.10 (0.08) versus 0.08 (0.07)](Z=5.376, P=0.000). The median FI value (quartile range) of 277 old people with history of fall in previous year was 0.12 (0.11), which was higher than the median FI value of 0.08 (0.07) of 1 280 old people without fall history (Z=7.501, P=0.000). Logistic regression analysis showed that higher FI value was associated with more risks for fall; and FI value showed the greatest impact on the incidence and frequency of fall (OR=1.093, 2.234) compared with other related factors of fall, such as age and gender. Conclusion: Frailty status has a greater impact on both incidence and frequency of fall compared with other factors in elderly people in Beijing; more attention should be paid to weak and old adults in the prevention of fall.
Accidental Falls/statistics & numerical data* ; Adult ; Aged ; Beijing ; Cross-Sectional Studies ; Female ; Frail Elderly ; Frailty ; Geriatric Assessment ; Humans ; Incidence ; Male ; Urban Population

Objective: To investigate the association between maternal body height and risk of preterm birth. Methods: A total of 11 311 pregnant women who gave birth of live singletons were recruited from the Healthy Baby Cohort Study in Hubei province, China from September 2012 to October 2014. Finally 11 070 pregnant women were selected as study subjects. Data were collected by using questionnaires, their prenatal care records and medical records. The women were divided into 4 groups according to the quartiles distribution (<158 cm, 158- cm, 160- cm, and >164 cm). Gestational age was estimated according to maternal last menstrual time. Preterm birth was defined as delivering a live singleton infant at 28-37 weeks' gestational age. Logistic regression was used to calculate the odds ratios (OR) and 95% confidence intervals (CI) for the association between body height and preterm birth. Results: Among the 11 070 pregnant women, the incidence of preterm birth was 5.9%. Logistic regression analysis indicated that women in group with body height <158 cm had 46% (OR=1.46, 95%CI: 1.16-1.83) higher risk of giving preterm birth than those in group with body height >164 cm after adjustment for potential confounders. Every 1- cm increase in body height was associated with 3% lower risk of preterm birth (OR=0.97, 95%CI: 0.95-0.99). Conclusion: Shorter body height was a risk factor for preterm birth. It is necessary to strengthen the monitoring in pregnant women with short body height to reduce the risk of preterm birth.
Body Height ; China/epidemiology* ; Cohort Studies ; Female ; Gestational Age ; Humans ; Incidence ; Infant, Newborn ; Odds Ratio ; Pregnancy ; Premature Birth/epidemiology* ; Prenatal Care ; Risk Factors