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Objective:To investigate the arsenic metabolism pattern and possible influencing factors in the population in drinking-water-borne endemic arsenic poisoning (drinking-water-borne arsenic poisoning for short) areas.Methods:In December 2004, a cluster sampling method was used to select arsenic poisoning population (arsenic poisoning group) and healthy population (control group) in drinking-water-borne arsenic poisoning area of Bayannur City, Inner Mongolia Autonomous Region as the survey subjects. A questionnaire survey was conducted. Arsenic content in drinking water at home of survey subjects, the levels of urinary arsenic and its metabolites, including [trivalent arsenic (As Ⅲ), inorganic arsenic (iAs), monomethylarsenic acid (pentavalent, MMA V), dimethylarsenic acid (pentavalent, DMA V), total arsenic (tAs), percentage of inorganic arsenic (iAs%), percentage of monomethylarsenic acid (MMA%), percentage of dimethylarsenic acid (DMA%), primary methylation index (PMI), secondary methylation index (SMI)] were tested using high performance liquid chromatography-inductively coupled plasma mass spectrometry; nail arsenic and nail selenium levels were tested using atomic fluorescence spectrometer. The influencing factors of arsenic metabolism pattern were analyzed by multiple linear regression. Results:A total of 536 survey subjects were included, including 155 individuals in the arsenic poisoning group and 381 in the control group. The water arsenic level ranged from 0.0 to 825.7 μg/L. Compared with the control group, there was no significant difference in the distribution of gender, education level and dental fluorosis in the arsenic poisoning group ( P > 0.05), but there were significant differences in the distribution of age, marital status, smoking, drinking and water arsenic ( P < 0.05). Compared with the control group, the levels of urinary As Ⅲ, iAs, MMA V, DMA V, tAs, MMA%, MMA/DMA and nail arsenic in the arsenic poisoning group were higher ( P < 0.05), while the levels of urinary DMA%, SMI and nail selenium were lower ( P < 0.05); but there was no statistically significant difference in the levels of urinary iAs% and PMI ( P > 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary As Ⅲ (β = - 19.82, - 23.83, 0.61, 0.21, 7.26, 2.98, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary tAs (β = 3.18, 3.25, 1.31, 15.59, P < 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary iAs (β = - 20.47, - 25.90, 0.64, 0.25, 7.87, 3.11, P < 0.05). Age, gender, education level, water arsenic and nail arsenic were the influencing factors of urinary MMA V (β = 0.52, - 17.07, - 21.84, 0.22, 2.77, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary DMA V (β = 2.35, 2.47, 0.85, 9.22, P < 0.05). Conclusions:Compared with healthy individuals, there are differences in arsenic metabolism pattern among individuals with drinking-water-borne arsenic poisoning. Age, gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic may be influencing factors of different arsenic metabolism patterns.
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Objective:To assess the changes of selenium nutrition of school-age children in Kashin-Beck disease (KBD) areas of Linzhou County, Lhasa City and Xietongmen County, Shigatse City in Tibet Autonomous Region (referred to as Tibet), and provide a scientific basis for evaluating the effectiveness of prevention and control measures.Methods:According to the historical condition of KBD, a total of 344 children's hair samples were collected to determine the content of selenium in Kazi (KBD area) and Jiangxia townships (non-KBD area) of Linzhou County in 2013 and 2021, Renqinze (KBD area) and Tongmen townships (non-KBD area) of Xietongmen County in 2015 and 2021.Results:Compared to 2013/2015, in 2021, the hair selenium level of children in the four townships increased ( P < 0.001). The selenium nutritional level of more than 90% of the children reached medium or above (hair selenium > 0.25 μg/g) in 2021. The hair selenium levels of girls in the two KBD areas (Kazi and Renqinze townships) were lower than those of boys ( Z = - 2.83, - 2.83, P < 0.05). Conclusions:The selenium nutrition level of school-age children in KBD areas in Linzhou and Xietongmen counties has increased rapidly in recent years. However, the selenium nutrition level of girls is significantly lower than that of boys. It is necessary to strengthen prevention, controlling and monitoring, and to further improve the dietary structure of school-age children through the joint efforts of families and schools, to increase the proportion of exogenous high selenium food intake.
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Objective:To study the effect of water improvement on urinary arsenic methylation metabolism in population exposed to arsenic through drinking water.Methods:A cluster sampling method was used to select drinking water type arsenism areas in Bayannur City, Inner Mongolia Autonomous Region. Permanent residents lived in the arsenism areas for more than 10 years were selected as the survey subjects. Urine samples ( n = 874, 111, 145) were collected in 2004 (before water improvement), 2014 (4 years after water improvement) and 2017 (7 years after water improvement), respectively, and some subjects were followed up in 2014 and 2017. High performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) was used to detect different forms of arsenic metabolites in urine [inorganic arsenic (iAs), monomethylarsonic acid (MMA), dimethylarsenic acid (DMA)], and total arsenic (tAs), the iAs percentage (iAs%), MMA percentage (MMA%), DMA percentage (DMA%), monomethylation rate (PMI), dimethylation rate (SMI), and the ratio of MMA to DMA (MMA/DMA) were calculated. The content and distribution of urinary arsenic metabolites in people exposed to arsenic before and after water improvement were compared and analyzed. Results:Compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine of arsenic exposed population in 2014 were lower ( Z =-14.12,-12.79,-14.27,-14.21,-6.90, P < 0.001), the levels of MMA%, DMA% and PMI were higher ( Z =-3.22,-2.91,-6.90, P < 0.05); in the same drinking water arsenic exposed population, compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine ( n = 48) were lower ( Z =-5.57,-5.53,-5.54,-5.55,-2.86, P < 0.05) in 2014, and PMI level was higher ( Z =-2.86, P = 0.004). Compared with 2014, the levels of iAs% and MMA/DMA in urine of arsenic exposed population in 2017 were lower ( Z =-4.97,-2.25, P < 0.05), the levels of MMA, DMA, tAs, DMA%, PMI and SMI were higher ( Z =-4.01,-5.39,-4.77,-4.61,-4.97,-2.25, P < 0.05); in the same drinking water arsenic exposed population, compared with 2014, the level of iAs% in urine ( n = 28) was lower ( Z =-2.87, P = 0.004) in 2017, the levels of DMA% and PMI were higher ( Z =-2.32,-2.87, P < 0.05). Conclusion:Water improvement could significantly reduce the levels of urinary arsenic metabolites iAs, MMA, DMA and tAs and increase the level of DMA% in arsenic exposed population.
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Objective:To investigate the levels of urinary arsenic metabolites in arsenic-exposed people with different degrees of skin lesions.Methods:A cluster sampling method was used to select people with different degrees of skin lesions in the drinking water arsenic poisoning area of Bayannaoer City, Inner Mongolia Autonomous Region. According to the "Standard of Diagnosis for Endemic Arsenism" (WS/T 211-2001), the research subjects were divided into four clinical grading: normal, suspicious, mild, moderate and above on the basis of the degrees of skin lesions. Urine samples from any 1 middle section were collected, and the levels of urinary arsenic metabolites of different forms in different clinically graded people were detected by inductively coupled plasma mass spectrometry (ICP-MS).Results:A total of 522 people were included, including 309 males and 213 females; the age was (39.11 ± 12.38) years old, ranging from 11 to 65 years old. There were 337, 80, 31, 74 people in normal, suspicious, mild, moderate and above clinical grading, the levels of inorganic arsenic (iAs, medians: 15.46, 37.16, 104.46, 163.06 μg/L), monomethylarsonic acid (MMA, medians: 15.95, 33.27, 82.80, 123.84 μg/L), dimethylarsenic acid (DMA, medians: 78.16, 147.86, 301.28, 371.30 μg/L), total arsenic (tAs, medians: 113.90, 220.94, 501.25, 684.46 μg/L), iAs percentage (iAs%, medians: 15.66%, 15.53%, 21.67%, 21.65%), MMA percentage (MMA%, medians: 13.51%, 15.40%, 17.14%, 16.43%), DMA percentage (DMA%, medians: 70.37%, 67.98%, 63.25%, 61.23%), monomethylation rate (PMI, medians: 0.84, 0.84, 0.78, 0.78), dimethylation rate (SMI, medians: 0.84, 0.81, 0.79, 0.79), and ratio of MMA to DMA (MMA/DMA, medians: 0.20, 0.23, 0.27, 0.27) were compared in different clinically graded people, the differences were statistically significant ( H = 97.98, 96.44, 85.50, 95.08, 38.58, 29.94, 51.98, 38.58, 43.20, 43.20, P < 0.01). Compared with normal people, iAs, MMA, DMA, tAs, MMA%, and MMA/DMA levels significantly increased, and SMI level significantly decreased in suspicious, mild, moderate and above people ( P < 0.017); compared with normal people, iAs% level significantly increased, and DMA% and PMI levels significantly decreased in mild, moderate and above people ( P < 0.017). Conclusion:The levels of urinary arsenic metabolites in arsenic-exposed people with different degrees of skin lesions are different, showing a dose-response relationship.
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Objective:To assess the present situation of selenium nutrition in adults and school-age children in Kaschin-Beck disease area of Binxian, Shaanxi Province, and provide the basis for taking targeted measures.Methods:Binxian was divided into five grades according to the condition of Kaschin-Beck disease, and 11 representative villages were selected as the survey villages in 2018. Each survey village was located in five directions: east, west, south, north, and middle. Two household villagers were selected from each location, and adult hair samples were collected for hair selenium content determination. And school-age children hair samples were collected at the township central primary schools and 1 village primary school corresponding to the five ward levels, and the selenium content was determined.Results:A total of 85 adult hair samples were collected, the average selenium content was 237.1 μg/kg, generally at the marginal selenium deficiency level (200 - < 250 μg/kg), and there was no significant difference among different grades of disease areas (χ 2 = 5.616, P > 0.05) . A total of 162 children hair samples were collected, the average selenium content was 301.3 μg/kg, generally at the middle selenium nutrition level (250 - < 500 μg/kg), and there was significant difference among different grades of disease areas (χ 2 = 13.627, P < 0.05) . Conclusion:Although Binxian has got rid of the risk of Kaschin-Beck disease as a whole, the selenium nutrition levels of some adults and children are still low, so it is still necessary to strengthen the prevention and control measures, especially for school-age children living in a relatively serious historical disease villages.
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With the increasing frequency and impact of public health incidents in the world's medical and health services in recent years,it has become extremely necessary to train public health talents suitable for the medical environment in China.This article mainly discusses the training model of professional postgraduate students in public health in Australian universities (Sydney University and Melbourne University) and Japanese universities (Tokyo University and Hokkaido University).Both countries attach importance to the education of practical ability.Australian universities focus on the training of allround and comprehensive public health talents,while Japanese universities emphasizes the training of professional public health talents.At present,there is a lack of a clear understanding of public health and detailed standards in China,which is the main problem of public health education in China.A detailed and efficient training model of public health talents should be established based on the unique features of our country.
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Objective To study the relationship between hair selenium content and arsenism among population from endemic arsenism area caused by coal combustion in the southern of Shaanxi Province.Methods Four high-arsenic-exposed villages in southern Shaanxi Province were selected as the study area,and the nonarsenic-exposed villages nearby were selected as the control area,90 hair samples of residents exposed to high arsenic in the study area and 14 hair samples of residents in the control area were collected.Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to determine the contents of arsenic and selenium in hair samples.Selenium/hair arsenic (Se/As) value was calculated,and the relationship between selenium content in hair samples and arsenicosis was analyzed.Results The geometric mean of selenium concentration in hair from the study area was 8.72 mg/kg,which was significandy higher than that from the control area (0.54 mg/kg,t =9.811,P ＜ 0.05).However,selenosis case was not found in the study area.Selenium content in hair was not obviously correlated with arsenism (r =0.075,P ＞ 0.05),while the Se/As value was negatively associated with the grade of arsenism (P ＞ 0.05).The geometric mean of selenium content in hair of female from the study area was 12.79 mg/kg,which was higher than that in hair of male (6.5 mg/kg,t =1.738,P ＜ 0.01).Meanwhile,the Se/As value in hair of female from the study area (1.15) was significantly higher than that in hair of male (0.65,t =3.218,P ＜ 0.05).Conclusions The environment of the study area is polluted by arsenic and selenium derived from stone-coal burning.Antagonism between arsenic and selenium might reduce the toxicity of selenium.Therefore,selenosis is not found in the study area.In addition,antagonism between arsenic and selenium might also induce lower prevalence of arsenism for female in the studly area.