Open Access

Relationship between housing characteristics, lifestyle factors and phthalates exposure: the first Korean National Environmental Health Survey (2009–2011)

  • Kyungyong Jung1,
  • Hyounho Oh1,
  • Ji Young Ryu1,
  • Dae Hwan Kim1Email author,
  • Sangyoon Lee1,
  • Byung-Chul Son2 and
  • Chae-Kwan Lee2
Annals of Occupational and Environmental Medicine201527:33

https://doi.org/10.1186/s40557-015-0078-8

Received: 6 May 2015

Accepted: 17 November 2015

Published: 23 December 2015

Background

Phthalates, the esters of phthalic acid, are widely used as plasticizers in many consumer products. Phthalate plasticizers are mainly used in the polyvinyl Chloride (PVC) products including plastic containers, toys, or flooring materials, and comprise 10 to 60 % of plastic products by weight [1]. Phthalates are also utilized as solvents of cosmetics, liquid soaps, or pesticides. About 6 million tons of phthalates were produced worldwide in 2004, of which Di (2-ethylhexyl) phthalate (DEHP) accounted for half of the entire production [2].

Phthalates are easily released from products into the environment or food by leaching, migration, evaporation or natural degradation [3]. Most phthalates are absorbed through ingestion, while low molecular weight phthalates such as Dibutyl Phthalate (DBP) can be absorbed by dermal exposure or inhalation [4]. Once absorbed, phthalates usually undergo a phase I hydrolysis to form the primary metabolites such as Mono-2-ethylhexyl phthalate (MEHP) or Mono-n-butyl phthalate (MnBP), and may proceed to further hydroxylation and oxidation or phase II conjugation before they are excreted in urine and feces [5]. Since most metabolites are excreted through urine, the urinary metabolites of phthalates are useful indices for the evaluation of phthalate exposure. MnBP, the primary metabolite of DBP, could be an appropriate biomarker for DBP exposure, since 84 % of absorbed DBP is excreted as MnBP in urine within 24 h of intake [6]. As to DEHP, secondary metabolites such as Mono (2-ethyl-5-oxohexyl) phthalate (MEOHP) and Mono (2-ethyl-5-hydroxylhexyl) phthalate (MEHHP) have been used to predict DEHP exposure [7, 8].

Many investigations have been performed regarding in vivo effects of phthalate exposure since 1970s. An animal study reported testicular atrophy and decrease of reproductive ability in mice exposed to phthalates [9]. An epidemiologic study of human indicated that exposure to phthalates in male during gestation and infancy is related to the decrease of anogenital index and testosterone levels suggesting a possible anti-androgenic effect [10]. Thus, the exposure in pregnant or lactating women and boys has been considered relatively important. However, endocrine disrupting effects of phthalates in adults also have been reported in recent studies. One study showed that phthalate exposure and testosterone levels are negatively correlated in male and female adults aged over 40 years [11]. Other study has suggested that it not only affected reproductive function, but also influenced on insulin-resistance and obesity [12]. Moreover, several studies showed that the prevalence of diseases such as asthma or ADHD has a positive correlation with phthalate exposure and relevant research is still ongoing [1315]. The effect of phthalates on the human body is not fully investigated yet and the mechanisms involved also remain unclear.

There are various products containing phthalates and most people are exposed to these products in daily living. Especially, the inside structures of a building such as flooring materials, wall paper, or window frames are thought to be important sources of phthalate exposure. Larsson et al. reported higher urinary concentrations of phthalate metabolite in people who live in the area where PVC flooring is more common, and also demonstrated good correlation between metabolite concentrations in mothers and those in their children, suggesting a strong relationship between residential space and phthalates exposure [16]. Another studies showed that the number of PVC products used for flooring and wall covering is associated to a higher phthalates in the indoor dust [17]. It seems that the relation between indoor living environment and phthalate exposure is clear and the use of PVC products is one of main cause. However, there have been no researches on the relationship between environmental factors and phthalate exposure in Korea, and most people rarely recognize phthalate exposure in their daily living. In this respect, this study investigated the association between living environment including housing characteristics and life styles and the phthalate exposure.

Methods

Study subject

The data of ‘The First Korean National Environmental Health Survey (2009–2011)’ performed by National Institute of Environmental Research under the Ministry of Environment was analyzed in this study. The survey was conducted for the population of 2005 National Population and Housing Census and the total number of participants were 6311 from 350 districts that were selected in proportion to the distribution of population. The data was collected through interviews and biological sample collection. Five thousands and two hundred fifty eight subjects (2544 males and 2714 females) were included in this study. The subjects whose urinary creatinine concentration exceeded the proper range of 0.3-3.0 g/L (n = 611) or whose urinary phthalate metabolite was lower than the detection limit (n = 35), or who didn’t respond to the related questions (n = 407) were excluded from the analysis. The study was approved by Institutional review board of Haeundae Paik hospital. (IRB No.129792-2014-122)

Variables of interest

The main variables in this study are housing characteristics and lifestyle factors that can be a potential source of phthalate exposure in daily living. Housing characteristics included the age of residential building and housing type. The age of building were divided into four groups: 10 years or less, 11 to 20 years, 21 to 30 years, and over 30 years, and housing type was grouped into three categories: apartment, detached houses, and multiplex houses. Lifestyle factors were also included in the analysis, such as use of cosmetics such as perfume, hair product, makeup product, and manicure, and intake of convenience foods such as cup noodles, frozen foods, canned foods, and dairy products. The use or intake of these items was categorized into two groups: more than once a week and less than once a week by frequency.

The analysis also included demographical variables such as age, body mass index (BMI), monthly household income, drinking, smoking, and exercise habit. BMI was categorized into two groups: lower than 25 kg/m2 and 25 kg/m2 or more. Monthly income was divided into four groups according to quartiles: low, intermediate low, intermediate high and high. Smoking status was grouped into three conditions: current-smoker, ex-smoker, and non-smoker. Drinking behavior was categorized into three: more than once a week, less than once a week, and none. There were three groups for exercise habit: regular exercise, irregular exercise, and no exercise. The variables for housing characteristics included the age of residential building and housing type.

Phthalate metabolites

The urinary concentrations of phthalate metabolite were analyzed by Gas Chromatography- Mass Spectrometry (GC-MS). After hydrolyzing with the ß-glucuronidase/aryl sulfatase enzyme, the metabolites were extracted with ethyl acetate for measurement. Concentrations were read from calibration curves drew by Standard Addition Method [18]. Limit of detection (LOD) of phthalate metabolite were 0.65 μg/L for MnBP, 0.5 μg/L for MEOHP, 0.4 μg/L for MEHHP, respectively. Relative standard deviation (RSD) were 15 % for all three phthalates metabolites, averagely 1 ~ 2.3 %. Analytical accuracy was demonstrated for by the successful participation in the proficiency test of the German External Quality Assessment Scheme (G-EQUAS). Creatinine-adjusted concentrations of MnBP, MEOHP, and MEHHP were used as the biomarker of exposure to phthalates.

Statistical analysis

Geometric means of urinary concentration of metabolites were calculated by the natural log transformation. The univariate comparisons between variables about housing characteristics and lifestyle factors were performed with analysis of variance (ANOVA). Analysis of covariance (ANCOVA) was used for the comparison of variables adjusted for age, BMI, age of building. Trend of metabolite concentrations by the age of building was also tested using contrast analysis. Additionally, logistic regression analysis was conducted for high exposure to DEHP as a dependent variable, which was determined by the median of the sum of MEOHP and MEHHP. IBM SPSS (version 20 for windows) was used in all statistical analyses.

Results

Table 1 presents demographic distribution and the geometric mean of urinary concentration of metabolites. Distributions of age, BMI, smoking status, drinking behavior, and exercise were significantly different by gender, thus statistical analysis was performed in each gender respectively. Significant differences of urinary metabolites were observed according to age, household income, and BMI. The geometric means of three metabolites were significantly increased with age. Lower income was related to statistically significant higher concentration of all three metabolites in males, and those of MEOHP and MEHHP in females. The level of MEOHP and MEHHP in overweight group was significantly higher than that in BMI lower than 25 kg/m2 group in females. For males, only MEHHP level showed statistically significant difference.
Table 1

Demographic distributions and urinary geometric mean concentration (μg/g creatinine) of phthalate metabolites categorized by population characteristics

  

Demographic characteristics

GM of metabolitesb

  

Male

Female

  

Male

 

Female

 

Category

N (%)

N (%)

p-valuea

MnBP

MEOHP

MEHHP

MnBP

MEOHP

MEHHP

Age group

20s

227 (10.9)

317 (11.7)

<0.001

39.14

12.67

17.22

55.27

19.12

24.13

 

30s

452 (17.8)

555 (20.4)

46.12**

14.11*

19.41**

63.30*

20.87*

26.79*

 

40s

559 (22.0)

585 (21.6)

48.02**

15.58*

21.97**

63.87**

22.24**

28.85**

 

50s

571 (22.5)

665 (24.5)

52.59**

16.82**

23.50**

68.25**

23.51**

30.85**

 

60s

503 (19.8)

437 (16.1)

62.13**

19.67**

26.77**

68.44**

26.79**

35.49**

 

Older than 70

182 (7.2)

155 (5.7)

67.86**

22.61**

29.65**

66.60**

29.75**

37.63**

Body mass index

Lower than 25

1490 (58.6)

1831 (67.5)

<0.001

50.99

16.17

21.93

63.59

22.29

28.54

 

25 and more

1054 (41.4)

883 (32.5)

51.41

16.69

23.52**

66.54

24.24**

32.26**

Household income

Less than 1,500,000

556 (22.2)

644 (24.1)

0.297

59.26**

20.20**

27.48**

65.15

25.74**

33.41**

 

1,500,000-2,500,000

565 (22.5)

570 (21.3)

53.55**

16.61**

22.64*

65.22

22.66

29.37

 

2,500,000-4,000,000

696 (27.8)

742 (27.7)

47.66

15.18

21.08

62.41

21.90

28.51

 

4,000,000 and more

689 (27.5)

722 (27.0)

47.24

14.84

20.69

65.61

21.85

28.20

Housing type

Apartment

1159 (45.6)

1302 (48.0)

0.055

48.07

15.04

20.86

63.44

21.51

27.65

 

Multiplex

451 (17.7)

500 (18.4)

51.49

16.36

22.43

65.58

23.37

30.58

 

Detached

887 (34.9)

867 (31.9)

54.82

18.19**

24.93*

65.18

24.80

32.41

 

Non-residential

47 (1.8)

45 (1.7)

61.12**

18.65**

25.76**

73.26

24.23

31.46*

Drinking

Never drink

643 (25.3)

1521 (56.0)

<0.001

56.65**

17.98**

24.08**

64.99

23.31

30.27

 

Not more than once a week

783 (30.8)

911 (33.7)

48.38

15.60

21.20

63.43

22.34

28.66

 

More than 2 times per week

1116 (43.9)

279 (10.3)

50.19

16.06

22.74*

65.98

22.66

30.15

Smoking

Non-smoker

589 (23.1)

2543 (93.7)

<0.001

51.20*

15.82

21.65

64.49

22.89

29.62

 

Past-smoker

873 (34.3)

70 (2.6)

55.74**

17.64**

24.21**

65.88

23.39

31.10

 

Current-smoker

1081 (42.5)

100 (3.7)

47.74

15.72

21.84

65.03

23.26

30.83

Exercise

No exercise

1250 (49.1)

1482 (54.6)

0.004

52.27

16.56

22.79

67.60

23.55

30.86

 

Irregular exercise

470 (18.5)

395 (14.6)

50.88

16.09

22.67

65.80

22.74

29.33

 

Regular exercise

824 (32.4)

836 (30.8)

50.55

16.36

22.40

62.56

22.61

29.17

a p-value is about difference of distribution between male and female

bStatistically significant differences within demographic groups are indicated by bold script and asterisks (*p < 0.05, **p < 0.01)

The urinary concentrations of phthalate metabolites by housing characteristics were presented in Table 2. Each concentration of metabolites was expressed as geometric mean and standard error with and without adjustment for age, household income, and BMI. All three metabolites in the group of people dwelling in older houses were higher, with statistically significant differences in MEOHP and MEHHP even after adjustment. The levels of metabolites were higher in the residents of detached and multiplex houses compared to those in apartment residents, showing statistically significant difference (p-value < 0.05) for MEHHP and marginally significant p-value of 0.091 for MEOHP after adjusting for age, BMI, and the age of buildings. As shown in Table 3, the urinary metabolites were not significantly different by the frequency of using personal hygiene products or eating processed food. The urinary MnBP in females who used makeup products more than once a week was higher than in females who used less than once a week, however, it was not statistically significant (p-value = 0.059).
Table 2

Urinary geometric mean concentration of phthalate metabolites (μg/g creatinine) categorized by housing characteristics

Male

MnBP

MEOHP

MEHHP

Crude

Adjusted

Crude

Adjusted

Crude

Adjusted

Variable

Category

N (%)

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

Age of building

10 yrs↓

401 (15.8)

45.67 (1.04)

<0.001§

46.90 (1.04)

0.007*

14.64 (1.03)

<0.001§

15.07 (1.03)

<0.001*

20.19 (1.03)

<0.001§

20.78 (1.03)

<0.001*

 

10-20 yrs

1023 (40.2)

49.72 (1.02)

 

50.70 (1.02)

 

15.67 (1.02)

15.99 (1.02)

21.80 (1.02)

22.24 (1.02)

 

20-30 yrs

654 (25.7)

51.58 (1.03)

 

51.68 (1.03)

 

16.65 (1.02)

16.67 (1.02)

22.73 (1.02)

22.76 (1.02)

 

30 yrs↑

466 (18.3)

59.31 (1.03)

 

55.42 (1.03)

 

19.42 (1.03)

18.05 (1.02)

26.57 (1.02)

24.78 (1.02)

Housing type

Detached

887 (35.5)

56.83 (1.02)

<0.001

50.40 (1.02)

0.252

18.19 (1.02)

<0.001

16.64 (1.02)

0.036

24.84 (1.02)

<0.001

22.97 (1.02)

0.082

 

Multiplex

451 (18.1)

51.47 (1.03)

53.57 (1.03)

 

16.36 (1.02)

17.06 (1.02)

22.42 (1.03)

 

23.34 (1.02)

 

Apartment

1159 (46.4)

48.09 (1.02)

50.45 (1.02)

 

15.04 (1.02)

15.83 (1.01)

20.86 (1.02)

 

21.89 (1.02)

Female

MnBP

MEOHP

MEHHP

Crude

Adjusted

Crude

Adjusted

Crude

Adjusted

Variable

Category

N (%)

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

GM (±SE)

p-value

Age of building

10 yrs↓

429 (15.8)

59.87 (1.04)

0.002§

60.58 (1.04)

0.137*

21.17 (1.03)

<0.001§

21.71 (1.03)

<0.001*

27.44 (1.03)

<0.001§

28.22 (1.02)

0.002*

 

10-20 yrs

1102 (40.6)

63.62 (1.02)

64.01 (1.02)

21.78 (1.02)

22.07 (1.02)

28.27 (1.02)

28.67 (1.02)

 

20-30 yrs

705 (25.9)

66.66 (1.03)

66.62 (1.03)

23.20 (1.02)

23.78 (1.02)

30.91 (1.02)

30.91 (1.02)

 

30 yrs↑

478 (17.6)

68.43 (1.03)

66.35 (1.03)

26.11 (1.03)

24.75 (1.02)

33.72 (1.02)

31.79 (1.02)

Housing type

Detached

867 (32.5)

65.37 (1.02)

0.529

62.36 (1.02)

0.296

24.80 (1.02)

<0.001

23.08 (1.02)

0.091

32.43 (1.03)

<0.001

31.14 (1.02)

0.023

 

Multiplex

500 (18.8)

65.63 (1.03)

66.62 (1.03)

23.38 (1.02)

23.93 (1.02)

30.63 (1.02)

31.28 (1.02)

 

Apartment

1302 (48.8)

63.43 (1.02)

64.97 (1.02)

21.52 (1.01)

22.38 (1.01)

27.99 (1.02)

28.76 (1.02)

*Adusted by age, BMI

Adjusted by age, age of building, BMI

Subjects who live in non-residential buildings were excluded from analysis

§p for trend

Table 3

Urinary geometric mean concentration of phthalate metabolites (μg/g creatinine) categorized by lifestyle factors

Male

MnBP

MEOHP

MEHHP

Crude

Adjusted*

Crude

Adjusted*

Crude

Adjusted*

Variable

Category

N

GM

p-value

GM

p-value

GM

p-value

GM

p-value

GM

p-value

GM

p-value

Perfume usage

Less than once a week

2330

51.74

0.008

51.32

0.437

15.59

<0.001

16.44

0.292

22.82

0.003

22.62

0.577

 

Once a week or more

214

45.18

49.35

14.15

15.72

20.26

22.09

Hair product usage

Less than once a week

2081

51.70

0.108

50.70

0.176

16.77

<0.001

16.41

0.663

23.08

<0.001

22.60

0.793

 

Once a week or more

463

48.74

53.30

14.71

16.20

20.43

22.42

Body cleanser usage

Less than once a week

1938

52.90

<0.001

50.96

0.634

16.93

<0.001

16.20

0.135

23.39

<0.001

22.44

0.418

 

Once a week or more

606

45.95

51.83

14.74

16.95

20.14

23.01

Makeup product usage

Less than once a week

2340

51.39

0.263

51.16

0.944

16.52

0.016

16.43

0.396

22.78

0.011

22.65

0.297

 

Once a week or more

204

48.48

51.32

14.86

15.85

20.34

21.65

Manicure usage

Not available

             

Frozen food intake

Less than once a week

2396

51.59

0.016

51.32

0.382

16.47

0.06

16.36

0.845

22.69

0.079

22.56

0.825

 

Once a week or more

148

44.59

48.72

14.96

16.53

20.72

22.81

Canned food intake

Less than once a week

2235

52.05

0.001

51.32

0.566

16.63

0.001

16.36

0.831

22.96

<0.001

22.62

0.831

 

Once a week or more

309

45.10

50.05

14.68

16.49

19.99

22.29

Dairy product intake

Less than once a week

1052

52.44

0.141

50.30

0.303

16.75

0.115

15.97

0.074

23.32

0.026

22.29

0.375

 

Once a week or more

1492

50.26

51.79

16.12

16.68

22.07

22.78

Female

MnBP

MEOHP

MEHHP

Crude

Adjusted*

Crude

Adjusted*

Crude

Adjusted*

Variable

Category

N

GM

p-value

GM

p-value

GM

p-value

GM

p-value

GM

p-value

GM

p-value

Perfume usage

Less than once a week

2330

65.48

0.016

64.97

0.226

23.26

0.001

22.94

0.811

30.26

<0.001

29.78

0.491

 

Once a week or more

384

59.53

61.87

20.30

22.74

26.59

29.11

Hair product usage

Less than once a week

2000

63.83

0.143

63.75

0.137

22.63

0.078

22.65

0.089

29.39

0.132

29.40

0.157

 

Once a week or more

714

66.82

66.75

23.71

23.67

30.61

30.54

Body cleanser usage

Less than once a week

916

66.42

0.169

62.80

0.233

24.97

<0.001

22.69

0.63

32.96

<0.001

29.84

0.785

 

Once a week or more

1798

63.69

65.43

21.92

23.01

28.18

29.61

Makeup product usage

Less than once a week

910

63.89

0.565

62.18

0.059

24.17

0.001

23.10

0.593

31.48

0.001

29.99

0.579

 

Once a week or more

1804

64.97

65.76

22.30

22.81

28.85

29.55

Manicure usage

Less than once a week

2430

64.58

0.945

64.31

0.505

23.01

0.263

22.87

0.771

29.78

0.573

29.58

0.327

 

Once a week or more

284

64.78

66.28

22.05

23.10

29.13

30.72

Frozen food intake

Less than once a week

2507

64.62

0.951

64.33

0.482

22.92

0.9

22.78

0.09

29.75

0.662

29.55

0.14

 

Once a week or more

207

64.41

66.75

22.79

24.51

29.18

31.53

Canned food intake

Less than once a week

2364

65.31

0.038

64.78

0.451

23.18

0.01

22.83

0.487

30.10

0.003

29.64

0.628

 

Once a week or more

350

59.99

62.74

21.19

23.41

27.11

30.14

Dairy product intake

Less than once a week

782

64.33

0.846

62.80

0.208

23.28

0.373

22.35

0.179

30..32

0.277

29.02

0.210

 

Once a week or more

1932

64.71

65.24

22.76

 

23.12

 

29.46

 

29.96

 

*adjusted by age, age of building, BMI

Table 4 shows the outcome of logistic regression analyses. In Model 1, where age and housing characteristics were set as independent variables, the risk of high exposure to DEHP was significantly increased with age in both male (OR 1.029, 95 % CI 1.023-1.035) and female (OR 1.025, 95 % CI 1.020-1.031). The group of more than 30 year-old building showed higher risk of DEHP exposure compared to the group of less than 10 year-old building in both gender (OR 1.426, 95 % CI 1.064-1.911 in male and OR 1.579, 95 % CI 1.187-2.101 in female). In female, the odds ratio of high DEHP exposure risk in group of 20 to 30 year-old buildings also appeared statistically significant (OR 1.556, 95 % CI 1.214-1.993). The multiplex group showed higher odds ratio for the exposure to DEHP in male (OR 1.328, 95 % CI 1.060-1.663) and female (OR 1.372, 95 % CI 1.109-1.697), and odds ratio of detached house group was 1.447 (95 % CI 1.187-1.766) as compared to the apartment group in male. In Model 2, BMI and household income were included as variables. There was no significant difference between BMI groups in the risk of high exposure to DEHP. The group of low income (less than 1.5 million won per month) showed higher risk of DEHP exposure in male (OR 1.439, 95 % CI 1.115-1.858), as compared to the group of high income (more than 4 million won per month). Lastly, drinking behavior, smoking status, and exercise were included as independent variables in Model 3. No factors among newly included variables appeared to be significant, and the variables which showed statistical significance in Models 1 and 2 also turned to be significant in Model 3.
Table 4

Logistic regression analyses of selected variables on DEHP* exposure.* high exposure to DEHP was determined by the median of the sum of MEOHP and MEHHP concentrations

Factors

Category

OR (95 % C.I.)

Model 1

Model 2

Model 3

Male

Female

Male

Female

Male

Female

Age

Per year

1.029 (1.023-1.035)

1.025 (1.020-1.031)

1.025 (1.019-1.032)

1.025 (1.018-1.031)

1.024 (1.017-1.031)

1.026 (1.019-1.032)

Age of building

Less than 10 years

1

1

1

1

1

1

 

10 to 20 years

1.174 (0.923-1.492)

1.258 (0.998-1.584)

1.157 (0.910-1.472)

1.263 (1.002-1.591)

1.144 (0.899-1.457)

1.256 (0.997-1.584)

 

20 to 30 years

1.240 (0.959-1.604)

1.556 (1.214-1.993)

1.215 (0.939-1.573)

1.551 (1.210-1.989)

1.210 (0.934-1.568)

1.561 (1.217-2.003)

 

More than 30 years

1.426 (1.064-1.911)

1.579 (1.187-2.101)

1.367 (1.017-1.836)

1.578 (1.184-2.103)

1.376 (1.023-1.850)

1.569 (1.176-2.092)

Housing type

Apartment

1

1

1

1

1

1

 

Multiplex

1.328 (1.060-1.663)

1.372 (1.109-1.697)

1.290 (1.028-1.618)

1.363 (1.100-1.688)

1.278 (1.018-1.605)

1.369 (1.103-1.699)

 

Detached

1.447 (1.187-1.766)

1.155 (0.949-1.405)

1.383 (1.130-1.692)

1.138 (0.933-1.389)

1.375 (1.121-1.686)

1.166 (0.955-1.425)

Body mass index

Less than 25

  

1

1

1

1

 

25 and more

  

1.172 (0.995-1.380)

1.104 (0.931-1.309)

1.163 (0.987-1.371)

1.101 (0.928-1.306)

Monthly income

4,000,000 and more

  

1

1

1

1

 

2,500,000-4,000,000

  

1.057 (0.853-1.309)

1.131 (0.920-1.392)

1.053 (0.850-1.306)

1.136 (0.923-1.398)

 

1,500,000-2,500,000

  

1.170 (0.930-1.471)

1.087 (0.866-1.364)

1.177 (0.935-1.481)

1.097 (0.873-1.378)

 

Less than 1,500,000

  

1.439 (1.115-1.858)

1.074 (0.846-1.363)

1.453 (1.124-1.878)

1.096 (0.862-1.393)

Alcohol

Never drink

    

1

1

 

Not more than once a week

    

0.871 (0.695-1.090)

1.187 (0.995-1.415)

 

More than 2 times per week

    

1.009 (0.819-1.243)

1.065 (0.814-1.392)

Smoking

No smoking

    

1

1

 

Past smoking

    

1.046 (0.839-1.305)

1.317 (0.806-2.153)

 

Current smoking

    

1.020 (0.823-1.263)

0.897 (0.594-1.356)

Exercise

Regular exercise

    

1

1

 

Irregular exercise

    

1.054 (0.833-1.335)

0.886 (0.692-1.135)

 

No exercise

    

0.978 (0.809-1.182)

0.874 (0.732-1.042)

Discussion

The main purpose of this study was to evaluate the relationship between housing characteristics and lifestyle factors versus phthalate exposure. The difference of metabolites concentration related to the age of residential building was most apparent and the difference was also statistically significant according to the type of housing. In contrast, lifestyle factors including using cosmetic product and processed food showed no significant relationship with concentration of phthalate metabolite.

In the study, the geometric means of the urinary concentration of MnBP, MEOHP, and MEHHP were 57.67 μg/g Cr, 19.47 μg/g Cr, and 26.01 μg/g Cr, respectively. The values of MEOHP and MEHHP were similar to the result from previous nationwide study conducted by the Korean ministry of environment during 2005 to 2012 (21.8 μg/g Cr and 27.1 μg/g Cr, respectively) [19], and were higher than the data from the U.S. and Canada [20, 21]. Regarding MnBP, there was no previous data in Korea, but the value was also more than two fold higher than the data of the U.S. and Canada, and was similar to the result from study in 80 Japanese women of childbearing age (43.3 μg/g Cr) [2022].

Among the phthalate metabolites measured in this study, MEOHP and MEHHP, metabolites of DEHP, were significantly correlated with age of the building. DEHP is frequently used as plasticizers of PVC flooring and wall paper, hence the indoor exposure of phthalate might have affected by these materials. According to recent report which analyzed indoor dust, more than 92 % of the phthalates in indoor dust were DEHP [23]. From this observation, we speculated that emission of DEHP may be affected by aging of phthalate containing materials. In one study from Sweden, the risk of high DEHP exposure (above median) was significantly increased in houses built before 1960, compared to houses built after 1983 (OR 2.30, 95 % CI 1.17-4.52) [17]. The study suggests that this finding may be due to a larger content of DEHP in older flooring materials (PVC) or be caused by increased release of phthalate from degrading products. Phthalates do not form covalent bonds with other materials in a product and are easily liberated by friction or heat [1], thus it seems that phthalates may be more easily released by repeated usage, represented by rubbing and heating.

After adjusting for the age, the age of buildings and BMI, dwellers of detached and multiplex houses showed higher concentration of urinary metabolites than dwellers of apartment. Strict selection of PVC products and quality management of apartment constructor might be reason of the results. However, definite reason remains unclear. After adjusting the age of buildings, difference of metabolite concentrations in each housing type were notably decreased. This reflects that detached and multiplex house tend to be older than apartment. The average age of apartments was 17.4 years old while the average age of detached houses was 28.6 years old in current study.

Phthalates contents of PVC flooring may be more important issue in Korea than other countries, because floor heating system and sitting-on-the-floor life style is most common in Korea. This life style can leads to increased indoor phthalate emission. According to recent Danish research, phthalates emission from a PVC floor increased with temperature, resulting in higher concentrations of DEHP. The amount of phthalates was 10 times higher at 35 °C than at 23 °C and 40 times higher at 45 °C than at 23 °C [24]. These concerns have made the Korean government designating PVC flooring materials as ‘industrial products that requires autonomous safety-check’ in July, 2012 and regulating the amount of phthalates [25]. However, more researches regarding detailed measurement of phthalate emission from flooring products or other building furnishing materials are essential to set appropriate allowance limit of phthalate contents.

Food containers and personal care products such as cosmetics are another major source of phthalate exposure. In previous studies, the urinary metabolite was higher in females who used a large amount of body lotion, deodorant, and perfume [26], and also appeared high in those who eat chocolate and ice cream frequently, which was attributed to the food containers [16]. Unlike these findings, consumption of processed food or use of cosmetics did not show any significant associations with urinary metabolites of phthalates in this study. The questionnaire of current study was not so detailed enough to distinguish the products that contains phthalates and those do not. Therefore additional research that put more emphasis on the product detail is needed to evaluate the effects of food containers or other consumer products to phthalate exposure. Furthermore, the statistics before and after adjustment for age were largely different. Crude values generally showed “More using” groups got lower metabolite concentrations, but after adjusting those differences were reversed or marked decreased. It is may be because products such as personal hygiene products are used mainly among the youth who showed lower phthalate metabolite concentrations. The controversial factors need to be supplemented by additional studies with questionnaire items including detailed age groups and recent frequency of product use.

In this study, concentrations of all three phthalate metabolites were significantly higher in female than in male. It is thought that this difference mainly comes from the use of creatinine adjustment. Males generally represent higher urinary creatinine concentration than females because of higher muscle volume and physical activity. Actually, there were no gender differences in the concentrations of metabolites before creatinine adjustment in this study (data was not shown). Other researches which used creatinine adjustment also show higher concentration of metabolites in female than in male [4, 11, 20].

In both male and female groups, the urinary metabolite of phthalate was increasing with age and this association was significant even after adjusting for other demographic variables. This result was opposite to other researches that showed the tendency of decrease with aging [11, 12]. According to our data, people in older age groups generally live in older houses: The mean ages of residential buildings were 17.1, 19.1, 21.9, 26, and 29.3 years in people in their thirties, forties, fifties, sixties and seventies and over, respectively. This difference was statistically significant. Moreover, there were tendencies that older age groups live in detached house rather than apartment compared to younger age groups (data was not shown). Our study showed that older residential houses and detached houses were significantly related to increased phthalate exposure in Korea, therefore, the difference of housing characteristics by age groups may explain the positive association of phthalate exposure with increasing age.

The strength of this study was the large data set that included the entire standardized population group. The data might have an impact on PVC production practices and house building. In addition, it might set a standard of life styles including ventilation and heating, since most Koreans belong to the possible exposure-to-phthalates group. The limitation of this study was the lack of detailed questionnaire items concerning residential environment. If the items about heating method or the time of running boilers are included in the questionnaire, it might be possible to achieve more relevant outcomes. This study was conducted on adults more than 20 years old and its limitation was the lack of analyses on infants and children. Phthalate-induced reproductive toxicity has a fatal effect in women of childbearing years, infants, and children. Furthermore, phthalates exposure management for infants and children who spend most of their time indoors and maintain close contact with flooring materials all day long is most important. According to the research of National Institute of Environmental Research under the Ministry of Environment that performed Korean National Environmental Health Survey, urinary phthalate metabolites in children was 1.5 times higher than in adults [27]. Research on the impact of life environment on infants and children is needed in future.

Considering its ubiquitous presence in our daily living and its potentially harmful health effect, EU countries have set large extent of restrictions: 6 kinds of phthalates were designated as Substance of Very High Concern (SVHC) and cannot be used in all industrial fields without prior permission [28]. There are only limited restrictions for phthalate use on several products such as plastic toys for children and PVC flooring materials in Korea. For example, the upper and lower layers of PVC floor materials can contain phthalates up to 1.5 % and 5 % of product’s total weight, respectively [25]. However, the limit of 5 % has no evidence of safety and there are still concern about phthalate emission considering the long time period of use and their wear and tear nature of flooring materials. There are no data on phthalates emission from old wall paper or flooring materials in Korea. Further research that measures the phthalate emission from various products or environments can provide more reasonable set point in regulations in reasonable commercial products.

We evaluated the relationship between phthalate exposure and housing characteristics & life style factors for the first time in Korea. The findings of this study are expected to increase the awareness of phthalate exposure in residential spaces. In order to establish clearer causality, direct measurement of phthalate will be required in future.

Conclusion

The age of residential building and housing type showed significant correlation with the urinary concentration of phthalate metabolites. PVC-containing products such as flooring material and wallpaper may affect dweller’s phthalate exposure in daily living. Thus, further research on indoor phthalate concentration in relation to building materials will be beneficial.

Declarations

Acknowledgement

This study used data from the First Korean National Environmental Health Survey 2009–2011, which was conducted by Ministry of Environment, National Institute of Environmental Research. The authors gratefully acknowledge their effort.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Occupational and Environmental Medicine, Inje University Haeundae Paik Hospital
(2)
Department of Occupational and Environmental Medicine, Institute of Environmental and Occupational Medicine, Busan Paik Hospital, Inje University

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Copyright

© Jung et al. 2015

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