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Erschienen in: BMC Public Health 1/2022

Open Access 01.12.2022 | Research article

Trends of and factors associated with access to residential toilets among the middle-aged and elderly in rural China from 2011 to 2018

verfasst von: Qun Wang, Huiyuan Cao, Shuo Zhang

Erschienen in: BMC Public Health | Ausgabe 1/2022

Abstract

Background

At the global and country levels, several important sanitation improvement initiatives were launched in the last decade. This study aimed to explore the temporal trend of and factors associated with access to residential toilets among the middle-aged and elderly in rural China from 2011 to 2018.

Methods

This study used the 2011, 2013, 2015, and 2018 data of China Health and Retirement Longitudinal Study (CHARLS). CHARLS was conducted among adults aged ≥ 45 years in 28 provinces of China. We used descriptive statistics and logistic regressions for data analysis.

Results

We found that residential toilet coverage increased by about 6% among population aged ≥ 45 years in rural China from 2011 to 2018. The coverage of flushable toilets and toilets with seats among this sector of the population increased by more than 10% during this period. We also found that being female, higher levels of education, higher annual per capita household consumption, having running water in the residence, larger household size, and better health status were significantly associated with an increased likelihood of residential toilet ownership among population aged ≥ 45 years in rural China.

Conclusions

China made progress in sanitation improvement in rural areas from 2011 to 2018. However, considering the current coverage levels of residential toilets and the vulnerable subgroups who are more prone to toilet deprivation in rural areas, we suggest to the government to implement further targeted toilet improvement interventions to ensure universal coverage of sanitation facilities for the whole of the Chinese population.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12889-022-12739-3.
Qun Wang and Huiyuan Cao contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CHARLS
China Health and Retirement Longitudinal Study
SDGs
Sustainable Development Goals
LMICs
Low- and middle-income countries
ADLs
Activities of daily living
CNY
Chinese Yuan

Background

Sanitation is of vital importance for health maintenance. However, approximately 2 billion people globally still lack basic sanitation facilities. Of these 2 billion, 70% live in rural areas [1]. Deprivation of proper sanitation facilities may result in the spread of many infectious diseases. The world has missed the Millennium Development Goal target of halving the proportion of people without sustainable access to sanitation by 2015. In 2015, the United Nations General Assembly set up the Sustainable Development Goals (SDGs). One of these goals was to ensure access to sanitation for all by 2030. Most low- and middle-income countries (LMICs) are taking special efforts [1, 2] to achieve this specific SDG target.
As one of the largest LMICs, China has long been devoted to sanitation improvement. Since the 1950s, the Chinese government, aiming to promote environmental health in rural areas, has paid great attention to toilet provision, regarding it as one of the most important sanitation facilities [3]. From 1978 to 2002, China set the goal related with the toilet coverage in rural areas and included toilet improvement in the national economic and social development plans. From 2003 to 2012, the government further promoted toilet reforms in rural areas and made toilet improvement one of the important targets of rural reform and development. From 2009 to 2011, China implemented a new round of healthcare reforms and promoted toilet improvement in rural areas as a major public health service project. Since 2013, the country has entered a new era of comprehensively implementing and deepening toilet reforms in rural areas. The National Environmental Sanitation Action Plan (2015–2020) set the following goals for sanitary toilet coverage: 75% by 2015, 85% by 2020, and 100% by 2030. In 2015, President Xi Jinping explicitly proposed that a “toilet revolution” should take place in rural China in order to provide the entire rural population with access to sanitary toilets [4]. In the last two decades, China has made progress on toilet provision. According to the estimates from National Health Commission of the People’s Republic of China, between 2000 to 2017 the coverage of sanitary toilets in rural China increased from 40.3% to 81.8% [5].
In parallel with global and country-level sanitation initiatives, access to sanitation has generated heated discussion in the academic community. Systematic studies on access to sanitation are of key importance for policy makers to design effective interventions for a targeted population. Globally, most studies on sanitation were based in LMICs. A large number of these studies focused on the effect of access to sanitation on health inequities [68], or on the occurrence and disease burden of some infectious diseases [911], or on other social indicators of development (e.g. student enrollment, educational efficiency, and violence against women) [1214]. Another large number of these studies were centered on factors associated with or inequality in access to sanitation, with most of them using cross-sectional data. And these studies showed that socially disadvantaged groups (those with lower income and education, etc.) were more likely to suffer from no or poor access to sanitation [1524]. A small number of such studies relied on longitudinal data with special focus on trends of access to sanitation [2529]. However, to our best knowledge, no studies have been conducted that systematically explore the changes of and factors associated with access to sanitation in rural China after 2013, especially after the implementation of the “toilet revolution” campaign. The existing studies using longitudinal data based in China both focused on the trends of and factors associated with access to toilet facilities before 2012 [26, 27, 29]. In addition, all the studies on access to toilet facilities based in China looked at the general population without paying special attention to the middle-aged and elderly population, a very large group of the population in a country with a severe aging crisis. This paper aims to fill the gap in this field by using the nationally representative China Health and Retirement Longitudinal Study (CHARLS) data from 2011 to 2018.

Methods

Source of data

We used data from the 2011, 2013, 2015, and 2018 waves of CHARLS, which is designed to be comparable with both the Health and Retirement Study in the USA and related aging surveys around the world. As a national longitudinal household survey, CHARLS was conducted among adults aged ≥ 45 years in 28 provinces, 150 countries/districts, and 450 villages/urban communities across China. Among the selected 450 villages/urban communities, 52.67% were in rural areas and 47.33% in urban areas. CHALRS adopted a multi-stage stratified probability proportionate to size sampling. The main information collected by CHARLS included demographic background, household and family information, health status and function, health care and insurance, work, retirement and pension, income, expenditure and assets, biomarkers and so on [30].
In this study, we used six sections of data in CHARLS, including demographic background, health status and function, health care and insurance, household roster, household income, and housing characteristics. After merging data in all these sections, we kept the data that had records in all these six sections, i.e., 17,403, 18,375, 20,860, and 19,732 in the 2011, 2013, 2015, and 2018 rounds, respectively. We then kept the observations with rural Hukou and aged ≥ 45 years. Finally, a total of 13,240 in 2011 (76.08% of the whole sample in the year), 13,856 in 2013 (75.41% of the whole sample in the year), 12,909 in 2015 (61.88% of the whole sample in the year), and 11,316 observations in 2018 (57.35% of the whole sample in the year) were included in the final analysis.

Variables and their measurement

This study had three outcome variables and were all expressed in dummy variables. The first outcome variable was defined as whether the individuals surveyed had a residential toilet. The second outcome variable was defined as whether the toilet was flushable. The third outcome variable was defined as whether the toilet had a seat.
In addition, this study included sociodemographic information, family characteristics and health conditions variables to stratify different population subgroups. Sociodemographic information included gender, age, education level, marital status, region, and whether the residence had running water. Family characteristics included household size and annual per capita household consumption. Health conditions included self-reported health and activities of daily living (ADLs). Most of the variables were self-explanatory except annual per capita household consumption, ADLs, and region.
The variable of annual per capita household consumption was calculated based on a set of related items. CHARLS collected data on household food consumption over the past seven days, as well as data on household nonfood consumption over the last month and the last year. Household food consumption included purchased food and food eaten from own production, meals eaten out, alcohol, and tobacco. Household nonfood consumption over the last month included communication, utilities, fuels, payment for servants, local transportation, daily necessities, and entertainment. Household nonfood consumption over the last year included clothing, bedding, long-distance travel, heating, durable goods, education and training, medical expenses, fitness, beauty, vehicle purchase, maintenance and repair, taxes and fees, automobiles, electronics, property management fees, and donations. We converted the household food consumption over the past seven days and the household consumption over the last month into annual costs to enable the calculation of the total annual household consumption. All expenditure was expressed in Chinese Yuan (CNY). In order to account for expenditure differences due to household size, per capita expenditure was calculated by dividing aggregated household expenditure by household size.
In line with previous studies [31], ADLs were measured by six representative daily activities: dressing, bathing, eating, getting into or out of bed, using the toilet, and controlling urination and defecation. Each daily activity question had four answer categories: able to perform independently without difficulty, able to perform independently with some difficulty, need some help to perform, and completely unable to perform. If the respondent chose the first two answer categories of one activity, then he/she was defined as “independently” performing the activity. If the respondent chose the last two answer categories of one activity, then he/she was defined as “dependently” performing the activity. All respondents were classified into two groups: no ADL disability (the status without any dependent activities) and with ADL disability (the status with at least one dependent activity).
In line with the four major economic regions defined by National Bureau of Statistics, region was referred to as whether the respondent resided in Northeastern, Western, Central, or Eastern China. Northeastern region includes Heilongjiang, Jilin, and Liaoning. Western region includes Xinjiang, Gansu, Sichuan, Chongqing, Shaanxi, Guizhou, Yunnan, Guangxi, Qinghai, and Inner Mongolia. Central region includes Shanxi, Anhui, Jiangxi, Henan, Hunan, and Hubei. Eastern region includes Beijing, Tianjin, Hebei, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, and Guangdong [32].

Analytical approach

We first applied descriptive statistics to report the temporal trend of residential toilet ownership and the coverage of flushable toilets and seated toilets among rural respondents aged ≥ 45 years in China from 2011 to 2018. A Chi- square test was used to initially analyze the factors related to residential toilet ownership.
Similar with previous studies [28], we then used logistic regression on data in each year to further analyze the factors associated with residential toilet ownership. We also used logistic regression to explore the factors influencing access to toilets with seats and flushable toilets using CHARLS 2018 data. We used the command of “collin” to check multicollinearity in the logistic models. All statistical significance decisions were based on 2-tailed P values and the significance level was chosen at 0.05. We used Stata to conduct all statistical analyses.

Results

Table 1 and 2 show the characteristics of the complete sample and the sample without residential toilets. Of the whole sample, over 50% were women. The average age of the entire sample was 59.20, 60.22, 61.23, and 63.90 in 2011, 2013, 2015, and 2018, respectively. Overall, the level of education among the whole sample was low, with more than 85% having a middle school education or below. As for marital status, the vast majority were married. As for water, the percentage of respondents having residential running water increased from 55% in 2011 to 77% in 2018. On average, the household size of the whole sample was 2.28, 2.28, 2.09, and 2.10 in 2011, 2013, 2015, and 2018, respectively. The median of annual per capita household consumption was 7,818.80 CNY in 2011, 10,303.65 CNY in 2013, 11,548.81 CNY in 2015, and 11,576.10 CNY in 2018. Among the respondents, more than 90% had no ADL disability and around 70% reported fair or good health status. The sample in each selected province in each year is shown in Appendix Table 1.
Table 1
Descriptive sample characteristics I
 
2011
2013
Entire sample
No toilet sample
P value
Entire sample
No toilet sample
P value
N(1)
%
N(2)
(2)/(1)
N(3)
%
N(4)
(4)/(3)
Gender
    
0.311
    
0.344
 Male
6326
47.78
1891
29.89
 
6482
46.78
1714
26.44
 
 Female
6903
52.14
2008
29.09
 
7352
53.06
1912
26.01
 
 Missing
11
0.08
   
22
0.16
3
13.64
 
Age
    
 < 0.001
    
0.003
 45–59
8003
60.45
2258
28.21
 
6720
48.50
1685
46.43
 
 60–69
3113
23.51
933
29.97
 
4029
29.08
1066
26.46
 
 70 and above
2124
16.04
708
33.33
 
3107
22.42
878
28.26
 
Education Level
    
 < 0.001
    
0.004
 Illiterate
4318
32.61
1421
32.91
 
4159
30.02
1153
27.72
 
 Primary or middle school
8100
61.18
2253
27.81
 
8024
57.91
2057
25.64
 
 High school or above
806
6.09
218
27.05
 
790
5.70
180
22.78
 
 Missing
16
0.12
7
43.75
 
883
6.37
239
27.07
 
Marital status
    
 < 0.001
    
 < 0.001
 Married
11,480
86.71
3308
28.82
 
12,002
86.62
3078
25.65
 
 Divorced/widowed/never married
1760
13.29
591
33.58
 
1854
13.38
551
29.72
 
Region
    
 < 0.001
    
 < 0.001
 Northeastern
659
4.98
490
74.36
 
730
5.27
448
61.37
 
 Western
4458
33.67
1193
26.76
 
4669
33.70
1210
25.92
 
 Central
3813
28.80
1026
26.91
 
3960
28.58
958
24.19
 
 Eastern
4610
32.55
1190
27.61
 
4497
32.46
1013
22.53
 
Having running water
    
 < 0.001
    
 < 0.001
 No
5896
44.53
2369
40.18
 
4736
34.18
1683
35.54
 
 Yes
7326
55.33
1526
20.83
 
9106
65.72
1944
21.35
 
 Missing
18
0.13
4
22.22
 
14
0.10
2
14.29
 
Household size
    
 < 0.001
    
 < 0.001
 Living alone
666
5.03
274
41.14
 
639
4.61
249
38.97
 
 2–4 people
8226
62.13
2508
30.49
 
8639
62.35
2451
28.37
 
 5 people and above
4348
32.84
1117
25.69
 
4578
17.76
929
20.29
 
SES
    
 < 0.001
    
0.008
 Lowest 25%
3313
25.02
1091
32.93
 
3465
25.01
967
27.91
 
 Lower 25%
3307
24.98
1000
30.24
 
3463
24.99
922
26.62
 
 Higher 25%
3311
25.01
991
29.93
 
3464
25.00
896
25.87
 
 Highest 25%
3309
24.99
817
24.69
 
3464
25.00
844
24.36
 
ADL
    
0.003
    
 < 0.001
 No ADL disability
12,446
94.00
3628
29.10
 
13,006
93.87
3363
25.86
 
 With ADL disability
794
6.00
271
34.13
 
850
6.13
266
31.29
 
Self-reported health
    
 < 0.001
    
 < 0.001
 Good
2928
22.11
812
27.73
 
2972
21.45
735
24.73
 
 Fair
6308
47.64
1720
27.27
 
6742
48.66
1642
24.35
 
 Poor
3986
30.11
1363
34.19
 
3545
25.58
1086
30.63
 
 Missing
18
0.14
4
22.22
 
597
4.31
166
27.81
 
Table 2
Descriptive sample characteristics II
 
2015
2018
Entire sample
No toilet sample
P value
Entire sample
No toilet sample
P Value
N(7)
%
N(8)
(8)/(7)
N(5)
%
N(6)
(6)/(5)
Gender
    
0.639
    
0.396
 Male
6015
46.60
1312
21.81
 
5191
46.60
1243
23.95
 
 Female
6893
53.40
1480
21.47
 
6125
53.40
1425
23.27
 
 Missing
1
0.01
        
Age
    
 < 0.001
    
 < 0.001
 45–59
5652
43.78
1129
40.44
 
4030
35.61
867
21.51
 
 60–69
4258
32.98
918
21.56
 
4336
38.32
1060
24.45
 
 70 and above
2999
23.23
745
24.84
 
2950
26.07
741
25.12
 
Education Level
    
0.107
    
 < 0.001
 Illiterate
3863
29.92
853
22.08
 
3372
29.80
880
26.10
 
 Primary or middle school
7627
59.08
1644
21.56
 
7267
64.22
1658
22.82
 
 High school or above
727
5.63
135
18.57
 
677
5.98
130
19.20
 
 Missing
692
5.36
160
23.12
      
Marital status
    
 < 0.001
    
0.037
 Married
11,039
85.51
2290
20.74
 
9429
83.32
2188
23.21
 
 Divorced/widowed/never married
1869
14.48
502
26.86
 
1887
16.68
480
25.44
 
 Missing
1
0.001
        
Region
    
 < 0.001
    
 < 0.001
 Northeastern
666
5.16
404
60.66
 
590
5.21
372
63.05
 
 Western
4322
33.48
924
21.38
 
3779
33.40
986
26.09
 
 Central
3697
28.64
694
18.77
 
3267
28.87
650
19.90
 
 Eastern
4224
32.72
770
18.23
 
3680
32.52
660
17.93
 
Having running water
    
 < 0.001
    
 < 0.001
 No
3675
28.47
1108
30.15
 
2626
23.21
997
37.97
 
 Yes
9232
71.52
1684
18.24
 
8688
76.78
1671
19.23
 
 Ming
2
0.02
0
0
 
2
0.02
0
0
 
Household size
    
 < 0.001
    
 < 0.001
 Living alone
679
5.26
229
33.73
 
541
4.78
178
32.90
 
 2–4 people
10,401
80.57
2285
21.97
 
9149
80.85
2171
23.73
 
 5 people and above
1829
14.17
278
15.20
 
1626
14.37
319
19.62
 
SES
    
 < 0.001
    
 < 0.001
 Lowest 25%
3229
25.01
795
24.62
 
2832
25.03
803
28.35
 
 Lower 25%
3226
24.99
739
22.91
 
2830
25.01
698
24.66
 
 Higher 25%
3227
25.00
642
19.89
 
2825
24.96
622
22.02
 
 Highest 25%
3227
25.00
616
19.09
 
2829
25.00
545
19.26
 
ADL
    
 < 0.001
    
0.002
 No ADL disability
11,948
92.56
2534
21.21
 
10,378
91.71
2408
23.20
 
 With ADL disability
961
7.44
258
26.85
 
938
8.29
260
27.72
 
Self-reported health
    
 < 0.001
    
 < 0.001
 Good
2748
21.44
548
19.94
 
2353
20.8
532
22.61
 
 Fair
6343
49.14
1269
20.01
 
5175
45.73
1,150
22.22
 
 Poor
3117
24.15
805
25.83
 
3293
29.1
882
26.78
 
 Missing
701
5.43
170
24.25
 
495
4.37
104
21.01
 
Overall, the coverage of population without any residential toilets decreased greatly, with coverage at 29.45% (3899/13240) in 2011, 26.19% (3629/13856) in 2013, 21.63% (2792/12909) in 2015, and 23.58% (2668/11316) in 2018 among the middle-aged and elderly population in rural China. The average age of those without residential toilets was 59.91, 59.69, 62.19, and 64.52 in 2011, 2013, 2015, and 2018, respectively. Chi square tests revealed that age, education level, marital status, household size, annual per capita household consumption, region, having running water, self-reported health, ADLs, and region had significant associations with toilet ownership. From 2011 to 2018, the coverage of residential toilets among those aged ≥ 45 years in the rural Northeast was much lower than that in other rural regions (Table 1 and 2).
Among the samples of people with residential toilets, the coverage of flushable toilets increased steadily from 2011 to 2018, with coverage at 39.15% (3650/9323) in 2011, 45.06% (4595/10198) in 2013, 43.50% (3431/7888) in 2015, and 50.23% (3067/6106) in 2018. The coverage of toilets with seats also witnessed a similar trend, starting from 14.50% (1354/9341) in 2011, to 17.94% (1835/10227) in 2013, to 21.90% (2216/10117) in 2015, and to 29.37% (2540/8648) in 2018.
Table 3 and 4 show the results of logistic regression for access to toilets, flushable toilets, and toilets with seats in the residence. The multicollinearity test found that the Variance Inflation Factor in all logit models was below 1.2. That means our logit models did not have multicollinearity. We found that being female, higher level of education, having residential running water, higher annual per capita household consumption, larger household size, and better health status were significantly associated with an increased likelihood of residential toilet ownership. Compared with those from the East, respondents from the Northeast were less likely to own residential toilets. And compared with those from the East, those from the West were more likely to own toilets in 2011, but were less likely to have toilets in 2018. In addition, we revealed that having residential running water, higher annual per capita household consumption, and larger household size were positively significantly associated with the likelihood of access to flushable toilets and toilets with seats. Compared with those from the Eastern region, those from other rural regions of China were less likely to have toilets with seats, and those from Northeastern and Central China were less likely to possess flushable toilets. Compared with those with good health, those with fair and poor health were less likely to own toilets with seats. We also found that those with ADL disability were less likely to own flushable toilets and the married were less likely to own toilets with seats.
Table 3
Multivariable logistic regression of factors associated with access to toilet in the residence
 
Odd ratio(95% confidence interval)
2011 (n = 13,240)
2013 (n = 13,856)
2015 (n = 12,909)
2018 (n = 11,316)
Gender
 Male
1
1
1
1
 Female
1.142** (1.048 to 1.246)
1.056(0.967 to 1.153)
1.019(0.922 to 1.125)
1.151** (1.040 to 1.275)
Age
 45–59
1
1
1
1
 60–69
0.969(0.878 to 1.070)
0.994(0.902 to 1.097)
0.991(0.887 to 1.107)
0.960(0.857 to 1.076)
 70 and above
1.041(0.920 to 1.179)
0.984(0.873 to 1.110)
0.881(0.772 to 1.006)
0.991(0.866 to 1.134)
Education Level
 Illiterate
0.800* (0.661 to 0.967)
0.847(0.694 to 1.035)
0.989(0.787 to 1.243)
0.759*(0.602 to 0.958)
 Primary or middle school
1.042(0.874 to 1.241)
0.939(0.781 to 1.129)
0.979(0.794 to 1.207)
0.946(0.764 to 1.170)
 High school or above
1
1
1
1
Marital status
 Married
1
1
1
1
 Divorced/widowed/never married
0.973(0.843 to 1.123)
1.026(0.881 to 1.194)
0.925(0.787 to 1.086)
1.140(0.979 to 1.327)
Region
 Northeastern
0.152***(0.125 to 0.185)
0.210***(0.176 to 0.252)
0.151***(0.125 to 0.183)
0.148***(0.121 to 0.180)
 Western
1.432***(1.292 to 1.586)
0.905(0.815 to 1.005)
0.937(0.833 to 1.053)
0.679***(0.604 to 0.764)
 Central
1.506*** (1.353 to 1.676)
1.073(0.959 to 1.201)
1.189**(1.048 to 1.351)
1.034(0.910 to 1.175)
 Eastern
1
1
1
1
Having running water
 No
1
1
1
1
 Yes
2.693c(2.474 to 2.931)
1.878c(1.721to 2.050)
1.776c(1.605 to 1.964)
2.322c(2.096 to 2.572)
Household size
 Living alone
1
1
1
1
 2–4 people
1.439** (1.170 to 1.771)
1.669***(1.338 to 2.081)
1.671***(1.338 to 2.088)
1.697*** (1.341 to 2.149)
 5 people and above
1.786***(1.443 to 2.211)
2.516***(1.999 to 3.165)
2.494*** (1.920 to 3.241)
2.177*** (1.663 to 2.849)
SES
 Lowest 25%
1
1
1
1
 Lower 25%
1.088(0.975 to 1.214)
1.073(0.954 to 1.206)
1.115(0.979 to 1.269)
1.242**(1.092 to 1.411)
 Higher 25%
1.133*(1.013 to 1.267)
1.132*(1.005 to 1.275)
1.276*** (1.117 to 1.458)
1.411***(1.236 to 1.611)
 Highest 25%
1.454***(1.293 to 1.634)
1.226**(1.084 to 1.386)
1.405***(1.226 to 1.611)
1.646*** (1.434 to 1.889)
ADL
 No ADL disability
1
1
1
1
 With ADL disability
0.987(0.833 to 1.169)
0.918(0.767 to 1.099)
0.985(0.817 to 1.187)
0.859(0.721 to 1.024)
Self-reported health
 Good
1
1
1
1
 Fair
1.047(0.943 to 1.162)
1.044(0.938 to 1.162)
1.003(0.889 to 1.132)
1.095(0.968 to 1.239)
 Poor
0.804*** (0.717 to 0.901)
0.812** (0.720 to 0.915)
0.754***(0.658 to 0.863)
0.878(0.768 to 1.004)
Constant
0.681*(0.467 to 0.994)
1.087(0.722 to 1.635)
1.652*(1.064 to 2.564)
0.819(0.527 to 1.273)
*P < 0.05
**P < 0.01
***P < 0.001
Table 4
Multivariable logistic regression of factors associated with access to flushable toilets and toilets with seats among those with toilets in the residence in 2018
 
Odd ratio(95% confidence interval)
Outcome variable: flushable toilets(n = 6106)
Outcome variable: toilets with seats (n = 8648)
Gender
 Male
1
1
 Female
1.031(0.919 to 1.158)
1.026(0.918 to 1.147)
Age
 45–59
1
1
 60–69
0.949(0.836 to 1.078)
0.901(0.797 to 1.017)
 70 and above
0.930(0.797 to 1.084)
1.066(0.919 to 1.237)
Education Level
 Illiterate
0.877(0.677 to 1.136)
1.005(0.797 to 1.268)
 Primary or middle school
1.027(0.813 to 1.297)
0.854(0.696 to 1.049)
 High school or above
1
1
Marital status
 Married
1
1
 Divorced/widowed/never married
1.174(0.990 to 1.393)
1.183*(1.004 to 1.394)
Region
 Northeastern
0.209***(0.134 to 0.327)
0.694*(0.504 to 0.956)
 Western
0.960(0.838 to 1.100)
0.262***(0.231 to 0.298)
 Central
0.723***(0.629 to 0.830)
0.333***(0.294 to 0.378)
 Eastern
1
1
Having running water
 No
1
1
 Yes
1.643***(1.445 to 1.867)
3.065***(2.587 to 3.632)
Household size
 Living alone
1
1
 2–4 people
1.678**(1.244 to 2.263)
1.616**(1.200 to 2.176)
 5 people and above
2.598***(1.867 to 3.615)
1.795***(1.295 to 2.489)
SES
 Lowest 25%
1
1
 Lower 25%
1.320***(1.138 to 1.530)
1.469***(1.252 to 1.724)
 Higher 25%
1.457*** (1.254 to 1.693)
1.600*** (1.365 to 1.874)
 Highest 25%
2.196***(1.869 to 2.580)
2.926***(2.505 to 3.419)
ADL
 No ADL disability
1
1
 With ADL disability
0.623*** (0.499 to 0.778)
1.103(0.889 to 1.369)
Self-reported health
 Good
1
1
 Fair
1.150(0.998 to 1.325)
0.855*(0.752 to 0.970)
 Poor
0.872(0.746 to 1.019)
0.703***(0.606 to 0.815)
Constant
0.278*** (0.165 to 0.466)
0.124*** (0.075 to 0.205)
*P<0.05; **P<0.01; ***P<0.001

Discussion

This study made an important contribution to the existing research, as it is one of the few studies focusing on trends of and factors associated with residential toilet access in rural China in recent years. Our results showed that from 2011 to 2018 the proportion of people aged ≥ 45 years in rural China without residential toilet access dropped by about 6%. This result is similar to previous studies showing that in rural areas both the coverage of sanitary toilets and the equity in sanitation rose from 2008 to 2013 [26, 27, 29]. And our result is also in line with both the estimates of sanitary toilet coverage in rural China from National Health Commission of the People’s Republic of China (81.8%) [5] and coverage figures of at least basic sanitation services in rural China from the World Health Organization (76%) in 2017. The progress in sanitation improvement in rural China is largely due to the series of initiatives taken by the government. Since 2009, the government has increased remarkably its central investment to sanitation improvement every year [27]. However, there is still a gap between the current coverage of toilets in rural areas identified in this study and the goal set in the National Environmental Sanitation Action Plan (2015–2020), i.e. the coverage of sanitary toilets would reach 85% by 2020 and 100% by 2030. Considering the gap between the current levels of toilet ownership and the goals, special efforts are still needed to improve sanitation in rural China further.
We also found that the coverage of flushable toilets and toilets with seats rose substantially from 2011 to 2018 among the middle-aged and elderly population in rural China, which indicates that the quality of residential toilets in rural China have improved significantly. Making toilets flushable is not one of the fundamental goals of the toilet revolution in China [4], since some parts of rural China lack water. However, flushable toilets are valuable and convenient for the elderly. So are toilets with seats. Therefore, more and more middle-aged and elderly people choose to use flushable toilets and toilets with seats in rural China.
This study further identified the factors associated with access to toilets, flushable toilets, and toilets with seats in the residence. We found that in 2018 the odds for owners of residential toilets without education were 21.3% lower than the odds for owners of residential toilets with a high school or higher education. This is consistent with findings in one province in rural China, Vietnam, and East Africa showing that less-educated families were less likely to access toilets [22, 24, 28]. Meanwhile, we found that the odds for females owning residential toilets were about 11% higher than the odds for males in 2011 and 2018. Studies have shown that in rural settings having one’s own toilet results in greater protection of women’s privacy [33]. Therefore, women have a high willingness to construct residential toilets. In line with quantitative studies in rural Indonesia showing that having access to water throughout the year significantly influenced toilet ownership [23], this study proved that having running water was positively associated with owning toilets, flushable toilets, and toilets with seats in the residence. We suggest that the government should strengthen water improvement together with toilet renovation in order to comprehensively enhance the health of rural residents.
In addition, we revealed that compared with residents from the rural East, residents from the Northeast were less likely to have residential toilets from 2011 to 2018. And compared with residents from the rural East, residents from the rural West were more likely to own toilets in 2011, but were less likely to have toilets in 2018. The coverage ranking of residential toilets among the four regions from 2011 to 2018 is similar to the coverage ranking of harmless residential toilets reported in China Environmental Statistics Yearbook. In 2011 the coverage of harmless sanitary toilets in rural Eastern, Central, Western, and Northeastern China stood at 35.35%, 42.27%, 41.36%, and 17.93%, respectively [34]. In 2017 the coverage of harmless sanitary toilets in rural Eastern, Central, Western, and Northeastern China stood at 83.04%, 52.99%, 56.00%, and 30.69%, respectively [35]. The high coverage of residential toilets among the middle-aged and elderly and the high coverage of harmless sanitary toilets among the general population in 2011 in rural Western and Central China might be because during the 3-year health reform program from 2009 to 2011 central investments for sanitation improvement had been concentrated more on these regions [27]. When comparing the data in this study with the data from China Environmental Statistics Yearbook, one needs to bear in mind that our study focused on residential toilets among the population aged ≥ 45 years, whereas China Environmental Statistics Yearbook focused on harmless sanitary toilets among the general population. This study also found that compared with residents from the rural East, residents from other rural regions of China were less likely to have toilets with seats, and those from Northeastern and Central China were less likely to possess flushable toilets. In general, the economic development level of eastern China is higher than that of other regions of China. Residents from the rural East on average have more resources to invest in constructing flushable toilets and toilets with seats, which cost more than general toilets. Further in-depth analysis of regional differences in toilet improvement in China is still needed.
Interestingly, we demonstrated that the smaller the household size, the lower the probability of possessing toilets, flushable toilets, and toilets with seats in the residence. This is in agreement with findings from East Africa showing that smaller families were prone to have no toilets [22]. Moreover, in line with previous studies [21, 24, 25, 28], our study identified that those members of the population aged ≥ 45 years with higher annual per capita household consumption were more likely to own toilets, flushable toilets, and toilets with seats in the residence in rural China. This could be explained by the fact that families with higher household socioeconomic status could afford the economic costs of toilet construction and renovation, so they are more likely to invest in sanitation improvement.
In addition, this study revealed that those in the population aged ≥ 45 years with a poorer health status were associated with a decreased likelihood of owning toilets and toilets with seats in the residence in rural China. This finding is consistent with that of a previous study finding that adults with better health status were more likely to live in a clean environment with good sanitation facilities [36]. We also uncovered that the odds for people with ADL disability having flushable toilets were 37.7% lower than the odds for those without ADL disability. The above results are worrisome. Deprivation of toilets, flushable toilets, and toilets with seats in the residence may make the elderly with poorer health status and ADL disability face more health risks, and possibly further increasing their vulnerabilities and health deterioration.

Limitations

A few limitations needed to be acknowledged in this study. First, the total numbers of people answering the questions on flushable toilets and toilets with seats were not the same. Therefore, the denominators of the coverage of flushable toilets and toilets with seats were different. Second, CHARLS contained limited information on toilets. Besides indicators of flushable toilets and toilets with seats, we were unable to analyze other indicators related to elderly-oriented toilets in rural China, such as the coverage of toilet handles. CHARLS also lacked data on attitudes towards toilets or intention to build toilets. Therefore, we could not analyze the relationship between respondents’ perceptions of toilets and actual toilet ownership. Future targeted studies are needed in this regard. Third, similar with other high-impact studies on factors influencing hypertension and diabetes [37], as well as access to sanitation facilities [28], etc., we did logistic regression between residential toilet ownership and the selected explanatory variables in each year, since the aim of this study was to explore the association between them but not to set up a causal relationship. Future studies are needed to utilize the longitudinal data analysis methods to explore the related topics based in China.

Conclusions

This study found that the coverage of residential toilets in rural China among people aged ≥ 45 increased from 2011 to 2018. A similar trend was observed for the coverage of both flushable toilets and toilets with seats. We also identified the subgroups who were more likely to be deprived of residential toilets, defined by being male, lower levels of education, lower annual per capita household consumption, without running water in the residence, smaller household size, and poorer health status. We suggest to the government that in order to ensure universal coverage of sanitation facilities for the whole of the Chinese population, these subgroups should be the targeted population when designing further toilet improvement interventions in rural China.

Acknowledgements

The authors would like to thank the CHARLS team for managing this national representative dataset.

Declarations

Not applicable since we used public data.
Not applicable.

Competing interests

The authors declare that they do not have any conflict of interest, financial and otherwise.
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Metadaten
Titel
Trends of and factors associated with access to residential toilets among the middle-aged and elderly in rural China from 2011 to 2018
verfasst von
Qun Wang
Huiyuan Cao
Shuo Zhang
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2022
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-12739-3

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