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Erschienen in: BMC Pregnancy and Childbirth 1/2020

Open Access 01.12.2020 | Research article

Prevalence of anemia and sociodemographic characteristics among pregnant and non-pregnant women in southwest China: a longitudinal observational study

verfasst von: Yu Wu, Hanfeng Ye, Jihong Liu, Qiuyue Ma, Yanling Yuan, Qian Pang, Jue Liu, Cai Kong, Min Liu

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2020

Abstract

Background

Globally, the prevalence of anemia among women of reproductive age is about 29.4%, and anemia impacts about 40% of pregnant women and more than 20% of non-pregnant women. We conducted a longitudinal observational study of anemia in pregnant and non-pregnant women, and analyzed the association between the prevalence of anemia and sociodemographic characteristics of women in southwest China.

Methods

This study was a longitudinal observational study which involved 640,672 women aged 18–49 years from 129 counties in southwest China. Data were from databases of National Free Preconception Health Examination Project (NFPHEP) and electronic medical records of local hospitals. We adjusted the diagnostic thresholds of anemia for altitude. The prevalence of anemia was expressed in percentages and 95% confidence intervals (95% CI). The association between the prevalence of anemia and sociodemographic characteristics of pregnant and non-pregnant women were analyzed using univariate and multivariate logistic regression method, expressed in crude odds ratio (cOR), adjusted odds ratio (aOR) and 95%CI.

Results

Of the 640,672 participants, 121,254 women suffered from anemia, with the prevalence of 18.9% (95%CI: 18.8–19.0%). From 2014 to 2018, the prevalence of anemia declines from 23.0–16.4%.The prevalence was 21.6% in the first trimester, higher than women in non-pregnancy (17.4%) and women in the third trimester (10.5%). Results from the multivariable logistic regression showed that women aged 18–20 (aOR = 1.28) or over 35 years old (aOR = 1.07), being farmers (aOR = 1.42), being ethnic minorities (aOR: 1.19 ~ 1.73), during the first trimester (aOR = 1.32) were more likely to be anemic.

Conclusions

Although the anemia prevalence of women of reproductive age has been decreasing in recent years, the prevalence of anemia is still high in pregnant and non-pregnant women in southwest China, especially during the first trimester. Women who were older or younger, being farmers, being ethnic minorities were at high risk of anemia. Anemia in women of reproductive age cannot be neglected.
Hinweise
Yu Wu, Hanfeng Ye and Jihong Liu contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
NFPHEP
National Free Preconception Health Examination Project
WHO
World Health Organization
CI
Confidence intervals

Background

Anemia is a global public health problem. Women of reproductive age are particularly at risk [1, 2]. Anemia can be caused by both nutritional and non-nutritional factors, with iron deficiency being the most common cause [3]. Previous studies reported that anemia affected about 40% of pregnant women and more than 20% of non-pregnant women [1]. Due to the increased demand for iron, normal diet cannot meet the demand of some pregnant women for iron, especially women with an already established iron deficiency [4]. Anemia not only can increase the risk of adverse pregnancy outcomes [57], but may reduce cognitive function [8], and reduce work efficiency [9].
In 2011, World Health Organization (WHO) reported that the global prevalence of anemia for all women of reproductive age was 29.4%, with 38.2% in pregnant women and 29.0% in non-pregnant women [10]. The anemia prevalence was about 20% in Chinese women of reproductive age, with 22% in pregnant women, and 19% in non-pregnant women [10]. The 2010–2012 Chinese Nutrition and Health Surveillance showed that the prevalence of anemia among pregnant women and non-pregnant women in China was 17.2% [11] and 15.4% [12], respectively. Our previous large-sample population-based study showed that in 2012, the anemia prevalence was 24.8% among non-pregnant women of reproductive age in rural areas of China [13], and the severe anemia prevalence was 0.24% [14]. A meta-analysis showed that the gestational anemia prevalence in Chinese women from 2012 to 2016 was 19.9% (95% confidence intervals (CI): 16.3%-23.5%) [15]. Although the anemia prevalence in women of reproductive age in China is lower than the global average, the anemia among women of reproductive age cannot be neglected.
China is a large country with a population of nearly 350 million women of reproductive age. It is of great public health significance to improve the anemia among women of reproductive age. Most of the previous studies focused on the prevalence of anemia among pregnant women [11, 15, 16], and a few studies focused on the prevalence of anemia among non-pregnant women [13, 17], but there was a lack of large-sample studies about anemia covering both pregnant and non-pregnant women. We did a large-longitudinal observational study covering 129 counties in southwest China which is a multi-ethnic region with one-seventh of China’s population, using the data from National Free Preconception Health Examination Project (NFPHEP) and electronic medical records of local hospitals to analyze the prevalence of anemia and sociodemographic characteristics of pregnant and non-pregnant women in this region, so as to provide evidence for improving the anemia status of women of reproductive age.

Methods

Study design and participants

We conducted a longitudinal observational study, using data from NFPHEP and electronic medical records of local hospitals. Inclusion criteria for study entrance were women aged 18–49 who intended to become pregnant within the next six months or had been already pregnant. Exclusion criteria were women without any hemoglobin records. 640,672 women aged 18–49 years from 129 counties in southwest China from 2014 to 2018 were involved. All the participants were given written informed consent forms before enrollment. A standardized questionnaire was used by local maternal and child health care personnel and obstetricians to collect information, and venous blood was extracted for relevant laboratory tests. The information included sociodemographic characteristics (such as age, occupation and ethnic), history of childbirth, chronic diseases (such as hypertension, diabetes and thyroid diseases) of the participants was collected from questionnaire. Hemoglobin detection was performed by qualified and trained professionals in the laboratory of a qualified medical institution, and the concentration of hemoglobin was measured using the cyanide methemoglobin method by trained medical staff in all the surveys and all years. Only a single Hb data was available for each participant, and there was no repeat testing.
In this study, according to the age distributions, all the participants were divided into five groups as follows: 18–20 years, 21–25 years, 26–30 years, 31–35 years, and over 35 years old. Again, according to the occupation distributions, the participants were divided into three groups: workers, farmers and others. The ethnic was divided into five groups: Han, Yi, Hani, Miao and others minorities, among which Yi, Hani, Miao and other minorities were ethnic minorities. Pregnancy stages were defined based on the results of the urine pregnancy test at the time the participants entered the program. Women who had a negative urine pregnancy test were defined as non-pregnant, and women who had a positive urine pregnancy test were defined as pregnant. The whole gestation process was calculated from the first day of the last menstruation. The gestational week before the 13th weekend was the first trimester, gestational week at the 28th week and later was the third trimester [18].
In this study, anemia was defined as lower than 110 g/L for pregnant women and lower than 120 g/L for non-pregnant women, recommended by the WHO [19]. We also adjusted the thresholds for altitude since it was related to hemoglobin (Hb) concentration. Adjustments of anemia thresholds for people living at altitudes higher than 1000 m were recommended by the WHO [19]: thresholds plus 2 g/L for people living at altitudes between 1000 m and 1500 m; plus 5 g/L for those living at altitudes between 1500 m and 2000 m; plus 8 g/L at 2000–2500 m; plus 13 g/L at 2500–3000 m; plus 19 g/L at 3000–3500 m; plus 27 g/L at 3500–4000 m; 35 g/L at 4000–4500 m; and plus 45 g/L at altitudes higher than 4500 m.

Statistical analysis

First, the descriptive analysis was performed for all the data. Sociodemographic characteristics (including age, occupation, ethnic) and pregnancy stage were described by proportion. The prevalence of anemia was reported as percentages and 95%CI. Second, after controlling the investigation year and the history of childbirth, logistic regression was used to analyze the association between sociodemographic characteristics and the prevalence of anemia among women in different pregnancy stage. Third, univariate and multivariable logistic regressions were used to examine the association of sociodemographic characteristics with the prevalence of anemia among all participants.

Sensitivity analysis

Considering that chronic diseases may have a certain impact on women’s metabolism, three other variables were included in the sensitivity analysis: hypertension, diabetes and thyroid diseases. In the subgroup analysis, participants were stratified by history of childbirth to detect the stability of associations, because women with different childbirth history may have different distributions of Hb. The significant difference was P < 0.05. All statistical analysis was performed on the SPSS21.0 software.

Results

Sociodemographic characteristics and prevalence of anemia in women of reproductive age

A total of 640,672 participants were included in this study, with 351,980 (54.9%) non-pregnant women, 268,014 (41.8%) women in the first trimester, and 20,678 (3.2%) women in the third trimester. Sociodemographic characteristics of the participants were as follows: 434,140(67.7%) were aged 21–30 years; 556,838(86.9%) were farmers; 413,746(64.6%) were the Han, 226,926(35.4%) were ethnic minorities (Table 1).
Table 1
Socio-demographic characteristics anemia prevalence among women of reproductive age in 2014–2018, southwest China
 
Number
%
Anemia(n)
Prevalence of Anemia(%(95%CI))
All participants
640,672
100.00
121,254
18.9(18.8,19.0)
Stage
 Non-pregnancy
351,980
54.9
61,193
17.4(17.3,17.5)
 First trimester
268,014
41.8
57,883
21.6(21.4,21.8)
 Third trimester
20,678
3.2
2178
10.5(10.1,11.0)
Age group, years
 18–20
54,792
8.6
13,007
23.7(23.4,24.1)
 21–25
223,074
34.8
42,720
19.2(19.0,19.3)
 26–30
211,066
32.9
37,577
17.8(17.6,18.0)
 31–35
90,235
14.1
16,681
18.5(18.2,18.8)
 > 35
61,505
9.6
11,259
18.3(18.0,18.6)
Occupation
 Worker
51,277
8.0
7164
14.0(13.7,14.3)
 Farmer
556,838
86.9
109,567
19.7(19.6,19.8)
 Others
32,557
5.1
4523
13.9(13.5,14.3)
Ethnic
 Han
413,746
64.6
70,297
17.0(16.9,17.1)
 Yi
74,464
11.6
15,204
20.4(20.1,20.7)
 Hani
21,277
3.3
5654
26.6(26.0,27.2)
 Miao
18,214
2.8
4219
23.2(22.6,23.8)
 Others
112,971
17.6
25,880
22.9(22.7,23.2)
Of the 640,672 participants, 121,254 suffered anemia, with an overall prevalence of 18.9% (95%CI: 18.8%-19.0%). From 2014 to 2018, the prevalence of anemia among women of reproductive age in southwest China decreased from 23.0% in 2014 to 16.4% in 2018 (Fig. 1).
Among the 640,672 participants, the prevalence of anemia was 21.6% (95%CI: 21.4%-21.8%) among women in the first trimester, higher than non-pregnant women (17.4%, 95%CI: 17.3%-17.5%) and women in the third trimester (10.5%, 95%CI: 10.1%-11.0%). The prevalence was significantly higher in those 18–20 years old (23.7%) than in other age groups (17.8–19.2%). The prevalence in farmers (19.7%) was significantly higher than in workers (14.0%). The prevalence of anemia in Yi (20.4%), Hani (26.6%), Miao (23.2%) and other minorities (22.9%) women was significantly higher than that in Han nationality (17.0%, 95%CI: 16.9%-17.1%, Table 1).

Association between sociodemographic characteristics and the prevalence of anemia in women of different pregnancy stage

We stratified women according to whether they were in non-pregnancy, the first trimester and the third trimester. The results showed that among women of reproductive age with different characteristics, the prevalence of anemia in women during the first trimester was higher than that in non-pregnant women, and the prevalence in women during the third trimester was lower than that in non-pregnant women. The differences were significant in 18–20, 21–25, 26–30, 31–35 and over 35 years old age groups (Fig. 2).
Regardless of whether women were pregnant or not, women aged 18–20 years, being farmers, being ethnic minorities were under higher risk for anemia (P < 0.05, Table 2). Compared with women aged 26–30 years old, women aged 18–20 years were more likely to develop anemia. Compared with workers, farmers were more likely to suffer anemia. The prevalence of ethnic minorities were all higher than that of Han nationality (Table 2).
Table 2
Association between the prevalence of anemia and socio-demographic characteristics among women in non-pregnancy, the first trimester and the third trimester
 
Non-pregnancy
First trimester
Third trimester
 
Number
Anemia,n(%)
aOR a (95%CI)
Number
Anemia,n(%)
aOR a (95%CI)
Number
Anemia,n(%)
aOR a (95%CI)
All participants
351,980
61,193(17.4)
-
268,014
57,883(21.6)
-
20,678
2178(10.5)
-
Age group, years
 18–20
28,947
6113(21.1)
1.28(1.24,1.32)
25,464
6844(26.9)
1.33(1.29,1.37)
381
50(13.1)
1.33(1.29,1.37)
 21–25
117,023
20,395(17.4)
1.03(1.01,1.05)
102,668
21,982(21.4)
1.00(0.98,1.03)
3383
343(10.1)
1.00(0.98,1.03)
 26–30
110,488
17,968(16.3)
1.00
91,018
18,672(20.5)
1.00
9560
937(9.8)
1.00
 31–35
51,325
8908(17.4)
1.02(0.99 ,1.05)
33,826
7199(21.3)
1.03(0.99,1.06)
5084
584(11.5)
1.03(0.99,1.06)
 > 35
44,197
7809(17.7)
1.05(1.03,1.09)
15,038
3186(21.2)
1.01(0.97,1.06)
2270
264(11.6)
1.01(0.97,1.06)
Occupation
 Worker
26,243
3420(13.0)
1.00
20,466
3308(16.2)
1.00
4568
436(9.5)
1.00
 Farmer
310,898
55,732(17.9)
1.34(1.29,1.40)
236,570
52,695(22.3)
1.38(1.33,1.44)
9370
1140(12.2)
1.38(1.33,1.44)
 Others
14,839
2041(13.8)
1.02(0.96,1.08)
10,978
1880(17.1)
1.03(0.97,1.10)
6740
602(8.9)
1.03(0.97,1.10)
Ethnic
 Han
225,698
35,190(15.6)
1.00
168,523
33,057(19.6)
1.00
19,525
2050(10.5)
1.00
 Others
126,282
26,003(20.6)
1.38(1.35,1.40)
99,491
24,826(25.0)
1.33(1.30,1.35)
1153
128(11.1)
1.33(1.30,1.35)
aMultivariate model adjusted for age, occupation, ethnic, investigation year and history of childbirth among women of reproductive age
The age was taken as the reference by the age group of 26–30 years, the occupation was taken as the reference by workers, the ethnic was taken as the reference by the Han
For non-pregnant women, without a history of pregnancy or childbirth means that the woman has never been pregnant or given birth; with a history of pregnancy or childbirth means that the woman has been pregnant or given birth. For pregnant women, without a history of pregnancy or childbirth means that the woman has never been pregnant or given birth before the current pregnancy; with a history of pregnancy or childbirth means that the woman has been pregnant or given birth before the current pregnancy

Association between sociodemographic characteristics and the prevalence of anemia in pregnant and non-pregnant women

After controlling the history of childbirth and investigation year, women in the first trimester(aOR = 1.32), aged 18–20 years old(aOR = 1.28) and over 35 years old(aOR = 1.07), working as farmers(aOR = 1.42), of minorities(aOR: 1.19–1.73) were related to a higher anemia prevalence (Table 3). Women in the first trimester (aOR = 1.32, 95%CI: 1.31–1.34) were more likely to have anemia than non-pregnant women, but women in the third trimester were less likely to have anemia (aOR = 0.82, 95%CI: 0.78–0.87). Compared with women aged 26–30 years, women in other age groups were more likely to develop anemia (aOR: 1.01–1.28). Compared with workers, farmers were more likely to be anemic (aOR = 1.42, 95%CI: 1.36–1.49). The prevalence of anemia among the ethnic minorities (aOR: 1.19–1.73) were all higher than that among the Han.
Table 3
Association between the prevalence of anemia and socio-demographic characteristics among women of reproductive age in 2014–2018, southwest China
 
Number
Anemia,n(%)
cOR(95%CI)
aORa(95%CI)
All participants
640,672
121,254(18.9)
-
-
Stage
 Non-pregnancy
351,980
61,193(17.4)
1.00
1.00
 First trimester
268,014
57,883(21.6)
1.31(1.29,1.33)
1.32(1.31,1.34)
 Third trimester
20,678
2178(10.5)
0.56(0.54,0.59)
0.82(0.78,0.87)
Age group, years
 18–20
54,792
13,007(23.7)
1.38(1.35,1.42)
1.28(1.25,1.31)
 21–25
223,074
42,720(19.2)
1.02(1.01,1.04)
1.01(1.00,1.02)
 26–30
211,066
37,577(17.8)
1.00
1.00
 31–35
90,235
16,681(18.5)
1.01(0.98,1.03)
1.05(1.03,1.07)
 > 35
61,505
11,259(18.3)
1.00(0.97,1.02)
1.07(1.05,1.10)
Occupation
 Worker
51,277
7164(14.0)
1.00
1.00
 Farmer
556,838
109,567(19.7)
1.51(1.47,1.55)
1.42(1.36,1.49)
 Others
32,557
4523(13.9)
0.99(0.95,1.03)
1.04(0.99,1.09)
Ethnic
 Han
413,746
70,297(17.0)
1.00
1.00
 Yi
74,464
15,204(20.4)
1.25(1.23,1.28)
1.19(1.17,1.21)
 Hani
21,277
5654(26.6)
1.77(1.71,1.83)
1.73(1.67,1.78)
 Miao
18,214
4219(23.2)
1.47(1.42,1.53)
1.33(1.29,1.38)
 Others
112,971
25,880(22.9)
1.45(1.43,1.48)
1.41(1.39,1.43)
aMultivariate model adjusted for pregnancy stage, age, occupation, ethnic, investigation year and history of childbirth among women of reproductive age
The stage was taken as the reference by non-pregnancy, the age was taken as the reference by the age group of 26–30 years, the occupation was taken as the reference by workers, the ethnic was taken as the reference by the Han

Sensitivity analysis

Considering that chronic diseases may have a certain impact on women’s metabolism, three other variables were included in the sensitivity analysis: hypertension, diabetes and thyroid diseases. The results revealed that women in the first trimester (aOR = 1.33), aged 18–20 years old (aOR = 1.31), and over 35 years old (aOR = 1.05), working as farmers(aOR = 1.36), of minorities(aOR: 1.18–1.72) were related to a higher anemia prevalence. (Table 4).
Table 4
Association between the prevalence of anemia and sociodemographic characteristics among women of reproductive age after controlling the chronic diseases
 
aORa
95%CIa
P
All participants
 Stage
  Non-pregnancy
1.00
-
-
-
  First trimester
1.33
1.32
1.35
< 0.001
  Third trimester
0.76
0.72
0.80
< 0.001
 Age group, years
  18–20
1.31
1.28
1.34
< 0.001
  21–25
1.02
1.00
1.03
0.026
  26–30
1.00
-
-
-
  31–35
1.03
1.00
1.05
0.015
  > 35
1.05
1.02
1.07
< 0.001
 Occupation
  Worker
1.00
-
-
-
  Farmer
1.36
1.33
1.40
< 0.001
  Others
1.01
0.97
1.05
0.544
 Ethnic
  Han
1.00
-
-
-
  Yi
1.18
1.16
1.21
< 0.001
  Hani
1.72
1.66
1.77
< 0.001
  Miao
1.32
1.27
1.37
< 0.001
  Others
1.40
1.38
1.43
< 0.001
aMultivariate model adjusted for pregnancy stage, age, occupation, ethnic, investigation year, history of childbirth and chronic diseases among women of reproductive age
The stage was taken as the reference by non-pregnancy, the age was taken as the reference by the age group of 26–30 years, the occupation was taken as the reference by workers, the ethnic was taken as the reference by the Han
Analysis stratified by history of childbirth was also performed. The results revealed that regardless of the history of childbirth, the anemia prevalence in women during the first trimester was higher than that in non-pregnant women, and the anemia prevalence in women during the third trimester was lower than that in non-pregnant women. Women aged 18–20 years and over 35 years had higher risks of suffering anemia than women aged 25–30 years. The prevalence of anemia in farmers was higher than that in workers. Women of ethnic minorities were more likely to suffer anemia than the Han (P < 0.05, Table 5).
Table 5
Prevalence of anemia in different characteristics among women of reproductive age, stratified by the history of childbirth in 2014–2018, southwest China
 
Without history of childbirth
With history of childbirth
Number
Anemia,n(%)
cOR(95%CI)
aOR a (95%CI)
Number
Anemia,n(%)
cOR(95%CI)
aOR a (95%CI)
All participants
253,906
46,062(18.1)
-
-
386,766
75,192(19.4)
-
-
Stage
 Non-pregnancy
113,575
17,957(15.8)
1.00
1.00
238,405
43,236(18.1)
1.00
1.00
 First trimester
126,543
26,705(21.1)
1.42(1.40,1.45)
1.41(1.38,1.44)
141,471
31,178(22.0)
1.28(1.26,1.30)
1.27(1.25,1.29)
 Third trimester
13,788
1400(10.2)
0.60(0.57,0.64)
0.77(0.72,0.81)
6890
778(11.3)
0.58(0.53,0.62)
0.69(0.64,0.75)
Age group, years
 18–20
32,301
7907(24.5)
1.60(1.55,1.65)
1.37(1.33,1.41)
22,491
5100(22.7)
1.23(1.18,1.27)
1.21(1.17,1.25)
 21–25
119,045
21,490(18.1)
1.04(1.01,1.06)
0.98(0.96,1.01)
104,029
21,230(20.4)
1.06(1.03,1.08)
1.05(1.03,1.07)
 26–30
79,903
12,537(15.7)
1.00
1.00
131,163
25,040(19.1)
1.00
1.00
 31–35
16,388
2921(17.8)
1.07(1.02,1.13)
1.18(1.12,1.24)
73,847
13,770(18.6)
0.95(0.93,0.98)
0.99(0.96,1.01)
 > 35
6269
1207(19.3)
1.17(1.10,1.25)
1.25(1.17,1.33)
55,236
10,052(18.2)
0.93(0.91,0.95)
1.00(0.98,1.03)
Occupation
 Worker
30,935
3767(12.2)
1.00
1.00
20,342
3397(16.7)
1.00
1.00
 Farmer
204,768
40,130(19.6)
1.76(1.70,1.82)
1.76(1.70,1.82)
352,070
69,437(19.7)
1.23(1.18,1.27)
1.13(1.09,1.17)
 Others
18,203
2165(11.9)
0.97(0.92,1.03)
0.97(0.92,1.03)
14,354
2358(16.4)
0.98(0.93,1.04)
0.99(0.93,1.05)
Ethnic
 Han
171,560
28,353(16.5)
1.00
1.00
242,186
41,944(17.3)
1.00
1.00
 Others
253,906
17,709(21.5)
1.38(1.36,1.41)
1.28(1.26,1.31)
144,580
33,248(23.0)
1.43(1.40,1.45)
1.39(1.37,1.41)
aMultivariate model adjusted for pregnancy stage, age, occupation, ethnic and investigation year among women of reproductive age
The stage was taken as the reference by non-pregnancy, the age was taken as the reference by the age group of 26–30 years, the occupation was taken as the reference by workers, and the ethnic was taken as the reference by the Han

Discussion

Anemia in women of reproductive age is a global public health concern [2]. In 2011, WHO reported that the global prevalence of anemia for all women of reproductive age was 29.4% (95%CI: 24.5–35.0%), with the highest prevalence in Africa (37.6%), the lowest in North America (12.4%), and about 31.9% in Asia where China was located [10]. In our study, 640,672 women of reproductive age in southwest China were involved, and the overall prevalence of anemia appeared as 18.9% (95%CI: 18.8–19.0%). Among them, the prevalence of anemia in non-pregnant women was 17.4%, in women during the first trimester was 21.6%, and in women during the third trimester was 10.5%, similar to the results of national studies (Pregnancy: 17.2%-42.1% [11, 15]), Non-pregnancy: 15.4%-35.6% [12, 13]), also similar to the results in Guangdong coastal areas (20.1% [20]), Hebei province (11%-16% [21]) and other regional studies. Our study also found that the prevalence of anemia in women of reproductive age had significant declined from 23.0% in 2014 to 16.4% in 2018. In recent years, the anemia status of women in China had been improved obviously, which might be related to the economic development, the improvement of people’s living standards and the improvement of the nutritional status of women of reproductive age in China.
Anemia is more prevalent in women of reproductive age [19]. A Mexican study showed that the national prevalence of anemia in pregnant women was 17.9% (95%CI: 13.5%-23.3%) higher than that in non-pregnant women (11.6%, 95%CI: 10.9%-12.4%) [22]. Lin et al. [16] conducted a multicenter retrospective study in developed areas of China in 2018, showing that among 43,403 pregnant women, the prevalence of anemia was higher in the 2nd trimester (14.7%) and 3rd trimester (16.6%) than in the 1st trimester (2.7%). In our study, the prevalence of anemia in first trimester was 21.6%, significantly higher than that in non-pregnancy (17.4%, P < 0.05). The results were higher than those of the Mexican study and higher than the anemia prevalence among pregnant women in developed areas of China. Our study also found that the anemia prevalence in the third trimester was lower than that in non-pregnant women. This may be related to the high coverage of prenatal care in China (97.8% [23]). In China, prenatal care has been incorporated into the national basic public health service, and pregnant women can receive at least five free prenatal examinations provided by the government during pregnancy. Once a pregnant woman is found to have anemia during prenatal examinations, she will be treated promptly, and then reduce the prevalence of anemia.
Previous studies noticed that demographic characteristics, such as age was associated with the prevalence of anemia in women [17, 2426]. Gupta et al. [17] found that non-pregnant women 35–49 years of age had a significantly higher prevalence of anemia than non-pregnant women 20–34 years of age. Shamah-levy et al. [18] also showed that in the two National Nutrition and Health Surveys in 1999 and 2006, the anemia in women aged 36–49 years was higher than that in women aged 35 years and below. Five National Health and Nutrition Examination Surveys circles between 2003 and 2012 in the United States showed that the anemia prevalence among women of reproductive age peaked at 40–49 age groups (6.5%, 95%CI: 5.5%-7.5%) [25]. A European study showed that, being younger than 20 increased the chances of anemia (aOR = 1.4, 95%CI: 1.1–1.9) [26]. In our study, the prevalence of anemia were significantly higher in women aged 18–20 years and over 35 years than in women aged 25–30 (under 20 years: aOR = 1.28; over 35 years: aOR = 1.07). When women of reproductive age are too young, risk factors include incomplete development of organs and tissues, unmarried status, low level of education, poor financial conditions, and low body weight, which can lead to notable increases in the incidence of anemia [27]. Furthermore, the increased risk of anemia among younger pregnant women could be due to unplanned pregnancy and suboptimal nutritional status prior to conception [28], leading to a higher prevalence of anemia than other age groups. For older women, the etiology of anemia is complex and ranges from bone marrow failure syndromes to chronic kidney disease, and from nutritional deficiencies to inflammatory processes including inflammaging in immunosenescence [29]. After the implementation of the Two-child policy in China, the proportion of older women has increased, which indicates that anemia among older women should be paid more attention by women themselves and relevant institutions.
Previous studies have shown that there were racial differences in hemoglobin distribution [12], and race was associated with the prevalence of anemia [17]. A study in the United States showed that significant differences in the prevalence of iron deficiency anemia existed by race/ethnicity. Non-Hispanic blacks had a higher prevalence of iron deficiency anemia than non-Hispanic whites, Mexican-Americans and other races, which was due to the differences in socio-economic status [17]. China has 56 ethnic groups, with Chinese Han the majority. There are substantial differences in genetic background, culture, socioeconomic levels, climate and geographic features of the residential area, lifestyle, and dietary pattern among certain ethnic groups [30]. Xu et al. [31] found that the anemia prevalence among minority pregnant women in southern rural area of Guizhou province was 23.96%, higher than the overall anemia prevalence of Chinese pregnant women (17.20%).Xu et al. [32] found that among women of reproductive age in six counties of Jiangsu and Zhejiang province in China, the prevalence of anemia in minority women was higher than that in Han nationality (51.3% vs. 42.8%). Our study was conducted in southwest China, which is a multi-ethnic region, and found that the anemia prevalence in minority women was higher than that in Han nationality. Most ethnic minority women live in remote areas with lower education level, unique dietary habits and genetic background [30]. In addition, some women of reproductive age lack the knowledge of prenatal health care and are not willing to improve their nutritional status and seek health care services [33]. For some ethnic minorities, where the prevalence of inherited haemoglobinopathies was high, the prevalence of anemia might be increased. Zhang et al. reported that the Dai (25.94%), Zhuang (17.23%), and Hani (5.16%) had a higher morbidity prevalence of alleles of thalassemia than the Han (2.56%) [34]. Yi people mainly eat a plant-based diet, and their high intake of phytic acid may lead to low iron absorption [35]. Most of the Miao people live close to the mountains, and the transportation is very inconvenient. The diet is mainly corn, and the intake of meat, fruits and vegetables is insufficient, which leads to the iron absorption barrier and causes the increase of the anemia prevalence [36]. In addition, the Miao population has the highest infection prevalence of soil-borne nematodes [37], which may also be the reason for the high anemia prevalence. In our study, the prevalence of anemia in farmers was 1.42 times higher than that in workers. The study of Ma et al. [13] on non–pregnant women of reproductive age in rural areas of China also showed that the prevalence of anemia in farmers was significantly higher than that in workers and other occupations (P < 0.05). This might be related to the inadequate access to health services, and farmers were exposed to higher risk of disease [12]. Meanwhile, farmers are usually of low socioeconomic status, which represented insufficient diet, limited education, and they were exposed to occupational hazards, including extreme weather conditions, dangerous chemicals, schistosomiasis, and hookworm infections [12, 38, 39], which may lead them to suffer from anemia.
The physiological haemodilution in pregnancy results in alterations of hematological parameters particularly in a reduction of hemoglobin concentration [4]. Previous studies showed that parity negatively associated with hemoglobin concentration [40, 41]. Compared to the non-pregnant state, every pregnancy carries an increased risk of hemorrhage before, during, and after delivery, especially during short pregnancy intervals, because of limited recovery time. Therefore, higher parity exposes women more frequently to periods of hemorrhage risk [40]. A study in Mexico showed that women with a history of childbirth had a higher prevalence of anemia than women without a history of childbirth (OR: 1.5–1.8) [42]. An Ethiopian study also showed that, mothers with five and above history of parity were found with increased odds of anemia compared to those who had parity of less than two (OR = 4.20, 95%CI: 1.14–15.52) [43]. Our study also found that women with a history of childbirth were more likely to suffer anemia than women without a history of childbirth, which was consistent with the above findings.
The strength of our research was that, to our knowledge, this was the largest population-based longitudinal observational study of anemia in China which covered both pregnant and non-pregnant women. Prior to our study, most of the published literatures in China focused on anemia during pregnancy, and there was no study about anemia in both pregnant and non-pregnant women of reproductive age. We used the data from NFPHEP and electronic medical records of local hospitals from 129 counties in southwest China to obtain a better representation of the anemia prevalence in women of reproductive age in southwest China. At the same time, we adjusted the thresholds for altitude recommended by WHO, enabling our results to compare with other study of the same kind.
Limitations in our study included the following: the sample size of women in the third trimester involved in this study was relatively small, which accounted for a small proportion of the study participants. Therefore, the anemia prevalence in the third trimester in our study might be underestimated. In our study, there were few variables related to reproductive status of women, and only the pregnancy history and childbirth history were included, and for possible factors that affected anemia, such as menstrual quantity, the use of intrauterine device and diet nutrition were not included in the analysis, to a certain extent, may affect the interpretation of the results.

Conclusions

In recent years, the coverage of prenatal care services in China has expanded constantly. Women pay more attention to nutrition during pregnancy, so the anemia condition of women is improving. Although the prevalence of anemia has had significant declines in recent years, the prevalence among women in southwest China was still high from 2014 to 2018. This continues to be a public health problem affecting women’s health. Our study found that the prevalence in women during the first trimester was higher than that in non-pregnant women, and a certain percentage of women in the third trimester still had anemia. Women who were older or younger, being farmers, being ethnic minorities were at higher risk of anemia. They should have priority to be paid close attention. Therefore, the nutritional status of women before and during pregnancy should be concerned particularly, which may lead to the reduction of the anemia prevalence in women, the reduction of complications during pregnancy, and the improvement of maternal and child health.

Acknowledgements

We thank health workers in 192 counties for their strong collaboration and great effects made in data collection. The views expressed in the report are those of the authors and do not necessarily reflect the official policy or position of Yunnan Population and Family Planning Research Institute and the Second Affiliated Hospital of Kunming Medical University.
All subjects gave their informed consent for inclusion before they participated in the study. The study was approved by Institutional Review Board of Chinese Association of Maternal and Child Health Studies (Project identification code AMCHS-2014-6).
Not applicable.

Competing interests

We declare no competing interests.
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Literatur
1.
Zurück zum Zitat Camaschella C. Iron-Deficiency Anemia. N Engl J Med. 2015;372(19):1832–43.CrossRef Camaschella C. Iron-Deficiency Anemia. N Engl J Med. 2015;372(19):1832–43.CrossRef
2.
Zurück zum Zitat Stevens GA, Finucane MM, De-Regil LM, Paciorek CJ, Flaxman SR, Branca F, Pena-Rosas JP, Bhutta ZA, Ezzati M. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data. Lancet Global Health. 2013;1(1):e16-25.CrossRef Stevens GA, Finucane MM, De-Regil LM, Paciorek CJ, Flaxman SR, Branca F, Pena-Rosas JP, Bhutta ZA, Ezzati M. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data. Lancet Global Health. 2013;1(1):e16-25.CrossRef
3.
Zurück zum Zitat Lopez A, Cacoub P, Macdougall IC, Peyrin-Biroulet L. Iron deficiency anaemia. Lancet. 2016;387(10021):907–16. .CrossRef Lopez A, Cacoub P, Macdougall IC, Peyrin-Biroulet L. Iron deficiency anaemia. Lancet. 2016;387(10021):907–16. .CrossRef
4.
Zurück zum Zitat Goonewardene M, Shehata M, Hamad A. Anaemia in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2012;26(1):3–24. .CrossRef Goonewardene M, Shehata M, Hamad A. Anaemia in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2012;26(1):3–24. .CrossRef
5.
Zurück zum Zitat Percy L, Mansour D, Fraser I. Iron deficiency and iron deficiency anaemia in women. Best Pract Res Clin Obstet Gynaecol. 2017;40:55–67. .CrossRef Percy L, Mansour D, Fraser I. Iron deficiency and iron deficiency anaemia in women. Best Pract Res Clin Obstet Gynaecol. 2017;40:55–67. .CrossRef
6.
Zurück zum Zitat Mirza FG, Abdul-Kadir R, Breymann C, Fraser IS, Taher A. Impact and management of iron deficiency and iron deficiency anemia in women’s health. Expert Rev Hematol. 2018;11(9):727–36. .CrossRef Mirza FG, Abdul-Kadir R, Breymann C, Fraser IS, Taher A. Impact and management of iron deficiency and iron deficiency anemia in women’s health. Expert Rev Hematol. 2018;11(9):727–36. .CrossRef
7.
Zurück zum Zitat Daru J, Zamora J, Fernández-Félix BM, Vogel J, Oladapo OT, Morisaki N, Tunçalp Ö, Torloni MR, Mittal S, Jayaratne K, et al. Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis. Lancet Global Health. 2018;6(5):e548-54. .CrossRef Daru J, Zamora J, Fernández-Félix BM, Vogel J, Oladapo OT, Morisaki N, Tunçalp Ö, Torloni MR, Mittal S, Jayaratne K, et al. Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis. Lancet Global Health. 2018;6(5):e548-54. .CrossRef
8.
Zurück zum Zitat Cook RL, O’Dwyer NJ, Parker HM, Donges CE, Cheng HL, Steinbeck KS, Cox EP, Franklin JL, Garg ML, Rooney KB, et al. Iron Deficiency Anemia, Not Iron Deficiency, Is Associated with Reduced Attention in Healthy Young Women. Nutrients. 2017;9(11):1216.CrossRef Cook RL, O’Dwyer NJ, Parker HM, Donges CE, Cheng HL, Steinbeck KS, Cox EP, Franklin JL, Garg ML, Rooney KB, et al. Iron Deficiency Anemia, Not Iron Deficiency, Is Associated with Reduced Attention in Healthy Young Women. Nutrients. 2017;9(11):1216.CrossRef
9.
Zurück zum Zitat Kamruzzaman M, Rabbani MG, Saw A, Sayem MA, Hossain MG. Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey. BMC Womens Health. 2015;15:54.CrossRef Kamruzzaman M, Rabbani MG, Saw A, Sayem MA, Hossain MG. Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey. BMC Womens Health. 2015;15:54.CrossRef
10.
Zurück zum Zitat Organization WH. The global prevalence of anaemia in 2011. Geneva Switzerland WHO. 2011;126(11):5409–18. Organization WH. The global prevalence of anaemia in 2011. Geneva Switzerland WHO. 2011;126(11):5409–18.
11.
Zurück zum Zitat Jiang S, Pang XH, Duan YF, Bi Y, Wang J, Yin SA, Yang LC, Yang ZY. The influencing factors of anemia for pregnant women between 2010–2012 in China. Zhonghua Yu Fang Yi Xue Za Zhi. 2018;52(1):21–5. .PubMed Jiang S, Pang XH, Duan YF, Bi Y, Wang J, Yin SA, Yang LC, Yang ZY. The influencing factors of anemia for pregnant women between 2010–2012 in China. Zhonghua Yu Fang Yi Xue Za Zhi. 2018;52(1):21–5. .PubMed
12.
Zurück zum Zitat Hu Y, Chen J, Li M, Li W, Yang Y, Yang L, Wang R, Piao J. Study on the anemia status of Chinese urban residents in 2010–2012. Zhonghua Yu Fang Yi Xue Za Zhi. 2016;50(3):213–6. .PubMed Hu Y, Chen J, Li M, Li W, Yang Y, Yang L, Wang R, Piao J. Study on the anemia status of Chinese urban residents in 2010–2012. Zhonghua Yu Fang Yi Xue Za Zhi. 2016;50(3):213–6. .PubMed
13.
Zurück zum Zitat Ma QY, Zhang SK, Liu J, Wang QM, Shen HP, Zhang YP, Liu M. Anemia status of Chinese rural women of reproductive age in 2012. Zhonghua Yi Xue Za Zhi. 2018;98(26):2115–9. .PubMed Ma QY, Zhang SK, Liu J, Wang QM, Shen HP, Zhang YP, Liu M. Anemia status of Chinese rural women of reproductive age in 2012. Zhonghua Yi Xue Za Zhi. 2018;98(26):2115–9. .PubMed
14.
Zurück zum Zitat Ma Q, Zhang S, Liu J, Wang Q, Shen H, Zhang Y, Liu M. Study on the Prevalence of Severe Anemia among Non-Pregnant Women of Reproductive Age in Rural China: A Large Population-Based Cross-Sectional Study. Nutrients. 2017;9(12):1298.CrossRef Ma Q, Zhang S, Liu J, Wang Q, Shen H, Zhang Y, Liu M. Study on the Prevalence of Severe Anemia among Non-Pregnant Women of Reproductive Age in Rural China: A Large Population-Based Cross-Sectional Study. Nutrients. 2017;9(12):1298.CrossRef
15.
Zurück zum Zitat Zhao SY, Jing WZ, Liu J, Liu M. Prevalence of anemia during pregnancy in China, 2012–2016: a Meta-analysis. Zhonghua Yu Fang Yi Xue Za Zhi. 2018;52(9):951–7. .PubMed Zhao SY, Jing WZ, Liu J, Liu M. Prevalence of anemia during pregnancy in China, 2012–2016: a Meta-analysis. Zhonghua Yu Fang Yi Xue Za Zhi. 2018;52(9):951–7. .PubMed
16.
Zurück zum Zitat Lin L, Wei Y, Zhu W, Wang C, Su R, Feng H, Yang H. Prevalence, risk factors and associated adverse pregnancy outcomes of anaemia in Chinese pregnant women: a multicentre retrospective study. BMC Pregnancy Childbirth. 2018;18(1):111.CrossRef Lin L, Wei Y, Zhu W, Wang C, Su R, Feng H, Yang H. Prevalence, risk factors and associated adverse pregnancy outcomes of anaemia in Chinese pregnant women: a multicentre retrospective study. BMC Pregnancy Childbirth. 2018;18(1):111.CrossRef
17.
Zurück zum Zitat Gupta PM, Hamner HC, Suchdev PS, Flores-Ayala R, Mei Z. Iron status of toddlers, nonpregnant females, and pregnant females in the United States. Am J Clin Nutr. 2017;106(Suppl 6):1640s–1646s.CrossRef Gupta PM, Hamner HC, Suchdev PS, Flores-Ayala R, Mei Z. Iron status of toddlers, nonpregnant females, and pregnant females in the United States. Am J Clin Nutr. 2017;106(Suppl 6):1640s–1646s.CrossRef
18.
Zurück zum Zitat Dragonas T, Christodoulou GN. Prenatal care. Clin Psychol Rev. 1998;18(2):127–42.CrossRef Dragonas T, Christodoulou GN. Prenatal care. Clin Psychol Rev. 1998;18(2):127–42.CrossRef
19.
Zurück zum Zitat WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Geneva: World Health Organization; 2011. . WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Geneva: World Health Organization; 2011. .
21.
Zurück zum Zitat Wang YJ, Li JG, Xu WL, Wang XB, Liu YL, Jiang H. Anemia status and correlation factors in rural regions of Hebei province. Chin J Prev Med. 2008;42:339–41. Wang YJ, Li JG, Xu WL, Wang XB, Liu YL, Jiang H. Anemia status and correlation factors in rural regions of Hebei province. Chin J Prev Med. 2008;42:339–41.
22.
Zurück zum Zitat Shamah-Levy T, Villalpando S, Mundo-Rosas V, De la Cruz-Gongora V, Mejia-Rodriguez F, Mendez Gomez-Humaran I. Prevalence of anemia in reproductive-age Mexican women. Salud Publica Mex. 2013;55(Suppl 2):190–8. .CrossRef Shamah-Levy T, Villalpando S, Mundo-Rosas V, De la Cruz-Gongora V, Mejia-Rodriguez F, Mendez Gomez-Humaran I. Prevalence of anemia in reproductive-age Mexican women. Salud Publica Mex. 2013;55(Suppl 2):190–8. .CrossRef
23.
Zurück zum Zitat Statistical information center of national health and Family Planning Commission. An Analysis Report of National Health Services Survey in China, 2013. Statistical information center of national health and Family Planning Commission, Ed. Peking Union Medical College Press, 2015. Statistical information center of national health and Family Planning Commission. An Analysis Report of National Health Services Survey in China, 2013. Statistical information center of national health and Family Planning Commission, Ed. Peking Union Medical College Press, 2015.
24.
Zurück zum Zitat Shamah-Levy T, Villalpando-Hernandez S, Garcia-Guerra A, Mundo-Rosas V, Mejia-Rodriguez F, Dominguez-Islas CP. Anemia in Mexican women: results of two national probabilistic surveys. Salud Publica Mex. 2009;51(Suppl 4):515–22. . Shamah-Levy T, Villalpando-Hernandez S, Garcia-Guerra A, Mundo-Rosas V, Mejia-Rodriguez F, Dominguez-Islas CP. Anemia in Mexican women: results of two national probabilistic surveys. Salud Publica Mex. 2009;51(Suppl 4):515–22. .
28.
Zurück zum Zitat Wright S, Earland D, Sakhuja S, Junkins A, Franklin S, Padilla L, Aung M, Jolly PE. Anemia in pregnancy in Western Jamaica. Int J Womens Health. 2017;9:431–9.CrossRef Wright S, Earland D, Sakhuja S, Junkins A, Franklin S, Padilla L, Aung M, Jolly PE. Anemia in pregnancy in Western Jamaica. Int J Womens Health. 2017;9:431–9.CrossRef
29.
Zurück zum Zitat Stauder R, Valent P, Theurl I. Anemia at older age: etiologies, clinical implications, and management. Blood. 2018;131(5):505–14.CrossRef Stauder R, Valent P, Theurl I. Anemia at older age: etiologies, clinical implications, and management. Blood. 2018;131(5):505–14.CrossRef
31.
Zurück zum Zitat Xu XQ, Zhang Y, Ban WF, Xie L, Wei P, Wei YP, Jiang WL, Yang YJ, Song SJ, Zhou LJ. Prevalence and influence factors of anemia among 16–40 years old minority pregnant women in southern rural area of Guizhou province. Chin J Publ Heal. 2019;35:809–13. https://doi.org/10.11847/zgggws1120318. .CrossRef Xu XQ, Zhang Y, Ban WF, Xie L, Wei P, Wei YP, Jiang WL, Yang YJ, Song SJ, Zhou LJ. Prevalence and influence factors of anemia among 16–40 years old minority pregnant women in southern rural area of Guizhou province. Chin J Publ Heal. 2019;35:809–13. https://​doi.​org/​10.​11847/​zgggws1120318. .CrossRef
32.
Zurück zum Zitat Xu SZ, Jin L, Ye RW, Zheng JC, Yang RL, Tang JF, Cai LJ, Hu XH, Chen H, Sun XM, et al. Study on anemia among premarital women in 6 counties from 1993 to 2003. Zhonghua Liu Xing Bing Xue Za Zhi. 2008;29:34–7. .PubMed Xu SZ, Jin L, Ye RW, Zheng JC, Yang RL, Tang JF, Cai LJ, Hu XH, Chen H, Sun XM, et al. Study on anemia among premarital women in 6 counties from 1993 to 2003. Zhonghua Liu Xing Bing Xue Za Zhi. 2008;29:34–7. .PubMed
33.
Zurück zum Zitat Zhao FM, Guo SF, Zhang T, Li BH, Wu KS, Cui Y. Analysis on influence factors of antenatal care in reproductive aged women of various period. Chin J Publ Heal 2006, 9–11. Zhao FM, Guo SF, Zhang T, Li BH, Wu KS, Cui Y. Analysis on influence factors of antenatal care in reproductive aged women of various period. Chin J Publ Heal 2006, 9–11.
34.
Zurück zum Zitat Zhang H: The carrier rate investigation of thalassemia in 11 ethnic minority and several cities in Yunnan Province. Master`s thesis. Kunming University of Science and technology; 2016. Zhang H: The carrier rate investigation of thalassemia in 11 ethnic minority and several cities in Yunnan Province. Master`s thesis. Kunming University of Science and technology; 2016.
35.
Zurück zum Zitat Zhou J: Evaluation on the Iron and Zinc Absorptions for the Typical Diets of Yi and Tibetan Men and the Dietary Factors. Doctoral dissertations. Sichuan University; 2005. Zhou J: Evaluation on the Iron and Zinc Absorptions for the Typical Diets of Yi and Tibetan Men and the Dietary Factors. Doctoral dissertations. Sichuan University; 2005.
36.
Zurück zum Zitat Yu C, Ban W, Xie L, Wei P, Lan S, Shen L, Yang Y, Wang Z. Prevalence and influence factors of iron deficiency anemia among 6–23 months old children in Qiannan area of Guizhou province. Chin J Public Health. 2018;34(06):812–6. Yu C, Ban W, Xie L, Wei P, Lan S, Shen L, Yang Y, Wang Z. Prevalence and influence factors of iron deficiency anemia among 6–23 months old children in Qiannan area of Guizhou province. Chin J Public Health. 2018;34(06):812–6.
37.
Zurück zum Zitat Zhu A, Du K, Li A, Luo M, Wu H, Lin G, Pan Y, She D, Lu L, Yao D. Surveillance results of national monitoring site for soil-transmitted nematode infections in Guizhou Province in 2011–2015. Chin J Parasit Dis. 2017;35(05):445–9 + 455. Zhu A, Du K, Li A, Luo M, Wu H, Lin G, Pan Y, She D, Lu L, Yao D. Surveillance results of national monitoring site for soil-transmitted nematode infections in Guizhou Province in 2011–2015. Chin J Parasit Dis. 2017;35(05):445–9 + 455.
41.
Zurück zum Zitat Karakochuk CD, Whitfield KC, Barr SI, Lamers Y, Devlin AM, Vercauteren SM, Kroeun H, Talukder A, McLean J, Green TJ. Genetic hemoglobin disorders rather than iron deficiency are a major predictor of hemoglobin concentration in women of reproductive age in rural prey Veng, Cambodia. J Nutr. 2015;145:134–42. doi:https://doi.org/10.3945/jn.114.198945.CrossRefPubMed Karakochuk CD, Whitfield KC, Barr SI, Lamers Y, Devlin AM, Vercauteren SM, Kroeun H, Talukder A, McLean J, Green TJ. Genetic hemoglobin disorders rather than iron deficiency are a major predictor of hemoglobin concentration in women of reproductive age in rural prey Veng, Cambodia. J Nutr. 2015;145:134–42. doi:https://​doi.​org/​10.​3945/​jn.​114.​198945.CrossRefPubMed
42.
Zurück zum Zitat Shamah-Levy T, Villalpando S, Rivera JA, Mejia-Rodriguez F, Camacho-Cisneros M, Monterrubio EA. Anemia in Mexican women: a public health problem. Salud Publica Mex. 2003;45(Suppl 4):499–507. .CrossRef Shamah-Levy T, Villalpando S, Rivera JA, Mejia-Rodriguez F, Camacho-Cisneros M, Monterrubio EA. Anemia in Mexican women: a public health problem. Salud Publica Mex. 2003;45(Suppl 4):499–507. .CrossRef
Metadaten
Titel
Prevalence of anemia and sociodemographic characteristics among pregnant and non-pregnant women in southwest China: a longitudinal observational study
verfasst von
Yu Wu
Hanfeng Ye
Jihong Liu
Qiuyue Ma
Yanling Yuan
Qian Pang
Jue Liu
Cai Kong
Min Liu
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2020
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-020-03222-1

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