The Research Of Levels Of Eight Mineral Elements Of The Hair And Its Influence Factors In The Adult

Objective：To understand the level of mineral elements (copper,manCanese,iron,zinc,magnesium,calcium,selenium,strontium) of hair samples in the adult,to offer scientificdata for formulating reasonable reference value or range of mineral elements foradults.To explore the factors from the basic demographic characteristics,livinghabits,body mass index and so on, to provide basis for advising the residents raisedreasonable diet and for promoting measures to promote health.Methods：Choose adults in Jingyu,Changling and Dongliao counties in Jilin province to doepidemiological investigations,physical examination and collect hair samples. ApplyICP-MS inductively coupled plasma mass spectrometer to measure copper,manganese,iron,zinc,magnesium,calcium,selenium,strontium levels of hair. Describe the centraltendency and dispersion trend using the median (M)and interquartile(Q) or X±S,compare the difference between groups using Wilcoxon test, analyze correlationbetween two variables using Spearman rank correlation of measurement data.Use rateand composition ratio to expresse enumeration data and the groups were compared byx2test.Use multiple linear regression analysis to do multivariate analysis.Results：1.Basic situation:This study investigated657people in total.417were males(63.5%) and240were females (36.5%).The minimum age of them was18and themaximum was79which people age from40to59.The average age was48.3±12.6years old.Most of the respondents of the study were Han Chineseaccounting for95.2%.The educational background of this respondents were relativelylow and mainly for junior middle school and the following degrees accounting for70.7%.Married or cohabiting persons were the mainly part of this study accountingfor89.3%. Manual workers were relatively more accounting for66.6%.The family per capital income monthly of this study mainly were less then2000yuan accounting for78.3%.2.The levels of mineral elements[M(Q)]:Cu:9.725(3.920)(μg/g);Mn:3.624(5.616)(μg/g);Fe;68.600(67.209)(μg/g);Zn:142.146(59.285)(μg/g); Mg:102.200(91.600)(μg/g);Ca:784.200(661.800)(μg/g);Se:0(0.161)(μg/g);Sr:0.119(0.117)(μg/g).3.The result of univariate analysis(1)The differences of the level of Cu in different age,education,marital status,occupation,family per capita income monthly,alcohol consumption groups werestatistically significant (P<0.05).The level of Cu in18~29age group was relativelyhigh, but in70~79age group was relatively low.The level of Cu in primary school andprimary school education group was relatively low,but in College/Big and highereducation group was relatively high. The level of Cu in widowed group was relativelylow.The level of Cu in mental workers was relatively high, followed by manualworkers, other workers was relatively low.The level of Cu in the group of the familyper capita income monthly2000~3000yuan was relatively high,in the group of thefamily per capita income monthly<500yuan was relatively low.The level of Cu indrinkers was relatively high compared with nondrinkers.(2)The differences of the level of Mn in different gender,age,education,occupation,family per capita income monthly,exercise cases groups were statisticallysignificant (P<0.05).The level of Mn in females was higher than males.The level ofMn in30~59age group was relatively high,but in70~79age group was relatively low.The higher of the education level, the lower the level of Mn.The level of Mn inmanual workers was higher than mental and other workers.The level of Mn in thegroup of the family per capita income monthly <2000and>5000yuan were high,butin the group of the family per capita income monthly2000~5000yuan was relativelylow.The level of Mn in never exercise group was higher than groups who exerciseregularly or occasionally.In addition, body mass index and Mn level was negativelycorrelated (rs=-0.111,P=0.004).(3)The differences of the level of Fe in different gender,age,education level,marital status,occupation,family per capita income monthly,smoking,alcoholconsumption,exercise cases groups were statistically significant (P<0.05).The level ofFe in males was higher than females.The level of Fe in18~29age group wasrelatively low,but the other age groups were higher.The higher the education level, the lower the level of Fe.The level of Fe of singles was relatively low.The level of Fe ofmanual workers was higher than mental and other workers.The level of Fe in thegroup of the family per capita income monthly2000~3000yuan was relativelylow.The level of Fe of smokers,drinkers and were relatively high. The level of Fe ofnever exercise group was higher than groups who exercise regularly or occasionally.Inaddition,body mass index and Fe level was negatively correlated (rs=-0.112,P=0.004).Average sleep time every day and Fe level was negatively correlated(rs=-0.148,P=0.001).(4)The differences of the level of Zn in different gender,age,education level,marital status,occupation,family per capita income monthly groups were statisticallysignificant (P<0.05).The level of Zn in males was lower than females.The level of Znin18~29age group was relatively high, but in70~79age group was relatively low.The level of Zn in College/Big education group was high,but lower in primaryschool and primary school group.The level of Zn in the widowed was relativelylow.The level of Zn of mental workers was higher than manual and other workers.Thelevel of Zn in the group of the family per capita income monthly<500yuan wasrelatively low,and in the group of the family per capita income monthly>5000yuanwas relatively high.Basically,the higher family income,the higher of Zn level.Inaddition, body mass index and Zn level was negatively correlated (rs=-0.127,P=0.001).(5)The differences of the level of Mg in different gender,age,occupation,smoking,drinking groups were statistically significant (P<0.05).The level of Mg in males waslower than females.The level of Mg in30~39age group was relatively high, and60~79years of age was significantly lower than the other age groups.The level of Mgof manual workers was higher than mental and other workers.The level of Mg ofnever smokers was high.The level of Mg of nondrinkers was significantly higher thandrinkers.In addition,body mass index and Mg level was negatively correlated(rs=-0.086,P=0.028).(6)The differences of the level of Ca in different gender,age,occupation,smoking,drinking,exercise groups were statistically significant (P<0.05).The level of Ca inmales was lower than females.The level of Ca in18~59age group was relatively high,but in60~79age group was significantly lower than the other age groups.The level ofCa of manual workers was higher than mental and other workers.The level of Ca of never smokers was high.The level of Ca of nondrinkers was also significantly higherthan drinkers.Body mass index and hair samples and Ca levels was approximatelynegative correlation (rs=-0.072,P=0.064).(7)The differences of the level of Se in different gender,age,educational level,family per capita income monthly,alcohol consumption,exercise groups werestatistically significant (P<0.05).The level of Se in males was higher than females.Thelevel of Se in18~29age group was relatively high,but other age groups weresignificantly low. The level of Se in College/Big education group was high,but lowin primary school and primary school education group.The level of Se in the group ofthe family per capita income monthly3000~4000was high.The level of Se of drinkerswas high compared with nondrinkers.Those who occasionally exercise had a highlevel of Se, followed by never exercise,the lowest of regular exerciser.(8)The differences of the level of Sr in different gender,age,occupation,smoking,drinking, exercise groups were statistically significant (P<0.05).The level of Se inmales was lower than females.The level of Se in30~59age group was high, but theother age groups were low,>70age group was significantly lower.The level of Se inmanual workers was high,followed by mental,lowest among other workers. The levelof Se in never smokers was high.The level of Se in nondrinkers was higher than thedrinker. Those who occasionally exercise had a high level of Sr,followed by neverexercise,the lowest of regular exerciser.4.The result of multivariate analysis(1)The level of Cu was different in different education degree or age.With theincrease of education degree,the level of Cu in the adult body wasincreased(β=0.120,P=0.004).With the increase of age,the level of Cu in the adult bodywas declined (β=-0.099, P=0.017)；(2)The level of Mn was different in different gender,occupation,body mass indexor education degree.The level of Mn in female was higher than males (β=0.211,P<0.001).The level of Mn in mental workers and other workers was low than manualworkers(β=-0.175,P<0.001). With the increase of body mass index, the level of Mnwas declined(β=-0.115，P=0.002);with the increase of education degree,the level ofMn was declined(β=-0.086，P=0.030).(3)The level of Fe was different in different occupation,gender,body massindex,sleeping time or education degree.The level of Fe in mental workers and other workers was low than manual workers(β=-0.160,P<0.001).The level of males washigher than females(β=-0.152,P<0.001).With the increase of body mass index,thelevel of Fe was declined(β=-0.116,P=0.002).With the increase of the amount ofsleeping time,the level of Fe was declined(β=-0.098,P=0.009).With the increase ofeducation degree,the level of Fe was declined(β=-0.082,P=0.039).(4)The level of Zn was different in different age,gender,the family per capitaincome monthly or body mass index.With the increase of age,the level of Zn in theadults was declined(β=-0.174,P<0.001).The level of Zn in females was higher than inmales(β=0.217,P<0.001).With the increase of the family per capita income monthly，the level of Zn in the adult was increased(β=0.126,P=0.001).With the increase of bodymass index,the level of Zn is declined (β=-0.094,P=0.012).(5)The level of Mg was different in different gender or age.The level of Mg infemales was higher than in males(β=0.345,P<0.001).With the increase of age,the levelof Mg in the adults was declined(β=-0.143,P<0.001).(6)The level of Ca was different in different gender,age,body mass index oroccupation.The level of Ca in females was higher than in males(β=0.449,P<0.001).With the increase of age，the level of Ca in the adults was declined(β=-0.142,P<0.001).With the increase of body mass index,the level of Ca in adults wasdeclined(β=-0.109, P=0.002).The level of Ca in mental workers and other workerswas low than manual workers(β=-0.091,P=0.010).Conclusion：1.In this study, levels of eight mineral elements of the hair in657adults were atfollows[M(Q),μg/g]:Cu:9.725(3.920);Mn:3.624(5.616);Fe:68.600(67.209);Zn:142.146(59.285);Mg:102.200(91.600);Ca:784.200(661.800);Se:0(0.161);Sr:0.119(0.117).2. Education level and age were the factors of levels of Cu in hair samples ofadults. The higher the education level, the higher Cu level. With age increasing, thelevel of Cu reduced.3. Gender,occupation,body mass index,education level were the factors of levelsof Mn in hair samples of adults.The level of Mn of females was higher thanmales.Mental workers had low level of Mn.With the increase of body mass index,thelevel of Mn reduced.With the increase of education level, the level of Mn reduced.4.Occupation,gender,body mass index,daily sleep time,education level were the factors of levels of Fe in hair samples of adults.Mental workers had low level ofFe.The level of Fe of females was lower than males.With body mass index, averagedaily sleep time, education level increasing,the the Fe level reduced.5. Age,gender,family per capita income monthly,body mass index were thefactors of levels of Zn in hair samples of adults.With age increasing,the level of Zndecreased. The level of Zn of females was higher than males.With the increase offamily per capita income monthly,the level of Zn increased.With the increase of bodymass index, the level of Zn decreased.6. Gender and age were the factors of levels of Mg in hair samples of adults.Thelevel of Mg of females was higher than males.With age increasing,the level of Mgdecreased.7. Gender,age,body mass index,occupation were the factors of levels of Ca inhair samples of adults.The level of Ca of females was higher than males.With theincrease of age, body mass index, the level of Ca decreased.Mental workers had lowlevel of Ca.