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BMJ Open logoLink to BMJ Open
. 2020 Feb 18;10(2):e032478. doi: 10.1136/bmjopen-2019-032478

Effects of individual, family and community factors on the willingness of institutional elder care: a cross-sectional survey of the elderly in China

Zhaoqing Wang 1,#, Yanan Xing 1,2,#, Wenxin Yan 1, Xinran Sun 1, Xueying Zhang 1, Shuang Huang 1, Li Li 1,
PMCID: PMC7044895  PMID: 32075825

Abstract

Objective

To investigate the effects of the willingness to live in elder care institutions associated with individual factors, family environment and the community environment in the elderly in China.

Design

Cross-sectional survey.

Setting

Heilongjiang Province, China.

Participants

A total of 1003 elderly people were selected through multistage sampling in Heilongjiang Province.

Primary and secondary outcome measures

A multistage, stratified sampling design was employed. Differences in health status, family environment and community environment of the respondents were compared with the t-test and χ2 test. Logistic regression analysis was performed to assess key determinants of willingness to live in institutions.

Results

This study showed that 45.4% of respondents were willing to live in elder care institutions in the future. Factors influencing willingness to live in elder care institutions were age, house ownership, living with spouse and children, disease caregivers and availability of home healthcare services. The elders who had no property (OR=2.37, 95% CI 1.750 to 3.200, p<0.01) and those aged 80 or above (OR=2.25, 95% CI 1.490 to 3.400, p<0.01) were, respectively, 2.370 and 2.250 times more receptive to living in elder care institutions than their control groups. However, those living with a spouse (OR=0.47, 95% CI 0.287 to 0.762, p<0.01), living with children (OR=0.25, 95% CI 0.158 to 0.402, p<0.01) or living with a spouse and children (OR=0.29, 95% CI 0.160 to 0.509, p<0.01) were less willing to live in elder care institutions.

Conclusions

These results suggest that the willingness to enter elder care institutions is affected by individual, family environmental and community environmental factors. We should vigorously develop community-centred intensive home-based elder care services by improving the quality and availability of home health services by expanding investment in the community.

Keywords: Chinese elder-care; institutional elder-care willingness; individual, family and community environment of the elderly; the effects of one-child policy on the elderly


Strengths and limitations of this study.

  • We carried out a comprehensive study that selected factors related to individuals, family environment and community environment as potential factors which may affect the willingness to accept institutional elder care.

  • The samples were selected through multistage sampling.

  • We selected participants from a single province.

  • The small sample size in our study limits the generalisability of the findings.

  • We used a cross-sectional design; therefore, no causal relationships can be identified.

Introduction

The ageing population has become a worldwide phenomenon, and concerns with the issue of elder care have been expanding globally. The situation of elder care has been very problematical in China, where the one-child policy was enforced for over 30 years.1 According to Chinese official data, by the end of 2017, a total of 158 310 000 persons were aged 65 or older, accounting for 11.4% of the total population.2 Meanwhile, 40.63 million disabled elderly people lived in China, making up 18.3% of the aged population.3

Chinese society’s economy, social welfare and social security systems are unable to cope with the pressure of the ageing population. Introduced in the 1980s, the one-child policy, which meant that a couple can have only one child, was enforced for over 30 years. People who were born at the beginning of the one-child policy are now the main providers of elder care for their parents. In this so-called 4:2:1 phenomenon, each young parent is usually responsible for two pairs of grandparents, besides having the duty to raise their children.4 5 Therefore, too much pressure has been put on Chinese families. In addition, the number of elder care institutions, the quality of elder care workers and the services provided for the elderly all lag behind the diversified needs of the elderly population.6 7 Obviously, it is necessary to conduct research on elder care problems.

The Chinese government has introduced many policies and invested a large amount of money to erase the pressure on elder care, and has proposed two slogans: ‘Active aging’ and ‘Healthy aging’.8 Topics related to elder care have been paid much attention by the government and researchers. The extensive literature about elder care can be divided into four categories.

First, some researchers have focused on the health and quality of life of the elderly.9–11 They have found that the quality of life in the elderly population is affected by many factors, including individual, community and societal variables. Second, some studies of long-term care (LTC), which can effectively solve the pressure of social old age care, found that most countries are ill prepared in system or law to satisfy the demand for LTC.12 13 Third, research has shown that the living arrangements of the elderly have an important influence on their mental health.14 15

Finally, plenty of literature has focused on the factors influencing the willingness to receive elder care. Some studies have assessed the relationship between social support for the elderly and the willingness to receive elder care in China.16 17 Another study analysed the different factors influencing willingness to receive elder care from the perspective of intergenerational relations and social economic status.18 This indicated that the more harmonious the intergenerational relationship, the lower the willingness of the elderly to enter an institution. Meanwhile, the higher the social economic status, the more likely the elderly are to choose institutional elder care. Some researchers have studied the influence of the community environment on the willingness to receive elder care.19 20 One study showed that the quality of the community environment had a positive effect on the degree of satisfaction with community elder care.21

We believe that the internal characteristics of a person, such as health status, income and age, and the external factors, such as family members and community environment, affect the willingness of the elderly to receive elder care. It is worth mentioning that China is currently implementing a policy called the ‘community family physician model’, which can promote the accessibility of community health management and care services for the elderly. The main duty of the family physician is to carry out health management for community residents, especially chronic disease management and health recovery for the elderly. Whether to choose institutional elder care indicates whether old people are willing to leave their familiar environment, which can give them various kinds of support such as disease care, and physical and mental company. The influences of personal factors and external factors on the willingness to accept elder care are not isolated. Our study included the following aspects of the elderly: individual characteristics, family environment and community environment. In view of the newly launched policy ‘family physician model’, which has been studied only rarely, we have taken the ‘Availability of home health care’ as an aspect of the study. Our research is pioneering in the study of the willingness to accept care for the elderly with regard to three aspects: the individual, family and community.

The present study aimed: (1) to describe the status quo and compare the willingness to use institutional elder care according to individual characteristics, family environment and community environment; (2) to analyse the effects of individual, family and community factors on the willingness to accept institutional elder care.

Methods

Data and sample

A cross-sectional survey of elderly individuals was conducted from 1 March to 31 August 2016 in Heilongjiang Province, China. First, those aged 60 years and above having the ability and being willing to answer the questions were included as our sample. Second, to make our sample as representative as possible, we employed a multistage stratified sampling design. We chose urban and rural samples, each accounting for about 50%. Third, three cities, Harbin, Qiqihar and Jiamusi, were selected on the basis of their gross domestic product. Three communities and three villages were selected in each sampled city according to economic factors. In total, nine communities and nine villages were selected. In addition, in order to ensure that the elderly understood the questionnaire correctly, we used the face-to-face interview format during the investigation.

Data collection

The data were collected through face-to-face interviews using a structured questionnaire conducted by trained undergraduate and graduate students from Harbin Medical University. A total of 1200 questionnaires were distributed; 1003 (83.6%) valid questionnaires were returned.

Assessment tools

The study’s instrument was a self-administered questionnaire composed of five sections. Section 1 consisted of the participants’ demographic characteristics including residence, gender, age, income, house ownership and culture. Among these variables, residence was composed of rural and urban, income was represented by five levels: <500, 500–999, 1000–1999, 2000–3000 and >3000 monthly, and culture was divided into five dimensions: no education, primary school, junior high school, senior high school and college degree or above.

Section 2 measured the health status of respondents. Physical health was assessed by self-rated physical health and self-rated capacity. Higher scores indicate better health. The scores for each question ranged from 1 to 5. Psychological health status was assessed by life satisfaction and feeling of isolation.

Section 3 assessed the family environment of the respondents. Family environment included whether he/she had living children, marital status, living arrangements, disease caregiver and parent–child relationships. Living arrangements were investigated using three questions: ‘Are you living with your spouse?’, ‘Are you living with your children?’ and ‘Are you living with others?’ Based on the answers, we classified living arrangements into four groups: (1) living alone, (2) living with spouse (may have others), (3) living with children (may have others) and (4) living with children and spouse (may have others). Because no participants in our sample were living with others only (not spouse or children), we ruled out this situation. Disease caregiver was divided into five groups: spouse, child, other relatives, nursing workers and themselves. The parent–child relationship was rated good, normal and bad.

Section 4 assessed the community environment of the respondents. This section included two questions: availability of community recreational facilities and availability of home healthcare services. Each question’s score ranged from 1 to 5, and high scores indicate high availability.

Section 5 assessed willingness to live in an institution. The variable ‘Willingness to live in institution’ was indicated by the question ‘Which are you willing to accept out of home care and institutional care?’ The respondents were allowed to consider whether they wanted to go to an institution or stay at home for elder care when needed.

Data analysis

The data were analysed using the Statistical Program for the Social Sciences (SPSS) V.17.0. Descriptive analyses included frequencies and percentages for the categorical variables and means and SDs for continuous variables. Differences in health status, family environment and community environment for respondents were compared with the t-test and χ2 test. Logistic regression analysis was performed to assess key determinants of the willingness of elderly people to live in institutions. Statistical significance was set at the 5% level.

Patient and public involvement

This study did not involve patients and the public in the design or planning of the study.

Results

Socioeconomic and demographic status of respondents

The socioeconomic and demographic characteristics of the respondents are shown in table 1. More than half of the respondents were female (52.7%), urban (57.9%) and married (59.4%). A majority of the participants have children (94.7%) and own a house (61.3%). About half of them (52.0%) were educated to a lower level than that of junior high school. Only 31.2% of them had monthly incomes above ¥2000. Seventy-two per cent of them were able to support themselves financially. In this survey, 51.0% of the respondents were aged between 60 and 69 years, and 27.9% were aged between 70 and 79 years. Table 1 shows that 48.4% of urban older adults and 41.0% of rural older adults preferred elder care institutions. There were significant differences in the percentage willingness to live in elder care institutions according to urban area (p<0.05), age (p<0.01), house ownership (p<0.01) and financial independence (p<0.05). Older adults who have their own house and have no financial independence had lower willingness to enter elder care institutions than those who have no house ownership. The respondents aged 80 or above had the highest willingness to enter an elder care institution, followed by those aged 70–79 and aged 60–69 years.

Table 1.

Analysis of the willingness to live in elder care institutions according to individual characteristics of the respondents

Variables Total Willingness to live in elder care institutions
n % n %
Residence
 Urban 581 57.9 281 48.4
 Rural 422 42.1 173 41.0
 χ2 5.36
 P value 0.02
Sex
 Male 474 47.3 215 45.4
 Female 529 52.7 239 45.2
 χ2 0.00
 P value 1.00
Age (years)
 60–69 508 51.0 188 37.0
 70–79 280 27.9 122 43.6
 ≥80 215 21.1 144 67.0
 χ2 55.21
 P value < 0.001
Monthly income (¥)
 <500 314 31.3 124 39.5
 500–999 125 12.5 55 44.0
 1000–1999 251 25.0 124 49.4
 2000–3000 197 19.6 95 48.2
 >3000 116 11.6 56 48.3
 χ2 7.16
 P value 0.12
House property
 Yes 615 61.3 221 35.9
 No 388 38.7 233 60.1
 χ2 55.85
 P value < 0.001
Financial independence
 Yes 725 72.3 346 47.7
 No 278 27.7 108 38.8
 χ2 6.39
 P value 0.01
Education
 No education 195 19.4 85 43.6
 Primary school 327 32.6 151 46.2
 Junior high school 288 28.7 132 45.8
 Senior high school 118 11.8 55 46.6
 College degree or above 75 7.5 31 41.3
 χ2 0.92
 P value 0.92

Bold values emphasize the statistical significance.

Willingness to live in elder care institutions according to family environment

Table 2 shows that participants who have children (p<0.01) and/or have a spouse (p<0.01) have lower willingness to live in elder care institutions. It is worth mentioning that our results showed that children were negatively correlated with the willingness to live in an elder care institution (χ²=18.1, p<0.01) (OR=7.52, 95% CI 3.310 to 17.120, p<0.05), which means that the elderly who have children were 7.52 times less willing to live in elder care institutions than the elderly who have no child. Regarding living arrangements, older adults living alone have the strongest willingness to live in an elder care institution, followed by those living with a spouse, living with children and living with spouse and children (p<0.01). The willingness to enter elder care institutions among the elderly who were nursed by nursing workers was higher than for those who were nursed by a spouse, children and/or other relatives (p<0.01).

Table 2.

Analysis of the willingness to live in elder care institutions according to the family environment of the respondents

Variables Total Willingness to live in institutions
n % n %
Children
 Yes 950 94.7 415 43.7
 No 53 5.3 39 73.6
 χ2 18.1
 P value < 0.001
Marital status
 Married 593 59.4 213 35.9
 Others 410 40.6 241 58.8
 χ2 51.1
 P value < 0.001
Living arrangement
 Living alone 282 28.1 193 68.4
 Living with spouse 428 42.7 165 38.6
 Living with children 147 14.7 56 38.1
 Living with spouse and children 146 14.6 40 28.1
 χ2 90.7
 P value < 0.001
Disease caregiver
 Spouse 494 49.3 177 35.8
 Son/daughter 356 35.5 166 46.6
 Other relatives 15 1.5 7 46.7
 Nursing workers 90 9.0 69 76.7
 By self 48 4.8 35 72.9
 χ2 68.7
 P value < 0.001
Parent–child relationship
 Good 883 87.9 399 45.2
 Normal 84 8.4 37 44.0
 Bad 36 3.6 18 50.0
 χ2 0.38
 P value 0.83

Bold values emphasize the statistical significance.

Willingness to live in elder care institutions according to health status

We used self-rated physical health, life satisfaction, feeling of isolation and self-rated capacity for action to evaluate the health status of the respondents (table 3). The mean scores for self-rated physical health and self-rated capacity for action were 3.30 and 3.54, respectively, which were slightly higher than the midpoint of 3. The life satisfaction was 5.08, which indicated high well-being among the elderly. The feeling of isolation was at a relatively low level (M=3.54, SD=0.96). Among these four variables, only self-rated capacity for action was significantly different between those preferring home care and those willing to receive institutional care: the participants preferring home care had higher self-rated capacity for action (M=3.61, SD=0.94, p=0.01).

Table 3.

Analysis of the willingness to live in elder care institutions according to the health status of the respondents

Variables Mean±SD
(n=1003)
Range of the score Home care (n=548) Institutional care (n=455) T P value
Self-rated physical health 3.30±0.97 1–5 3.28±1.00 3.33±0.94 0.80 0.42
Life satisfaction 5.08±1.27 1–7 5.13±1.25 5.03±1.28 1.21 0.23
Feeling of isolation 1.91±0.77 1–5 1.91±0.76 1.91±0.78 0.15 0.88
Self-rated capacity for action 3.54±0.96 1–5 3.61±0.94 3.45±0.98 2.59 0.01

Bold values emphasize the statistical significance.

Willingness to live in elder care institutions according to community environment

The mean scores for self-assessed availability of community recreational facilities and availability of home healthcare services were 3.72 and 3.25, respectively (table 4). Statistically significant differences were noted in the scores on both of these variables between those who preferred home care and those who favoured institutional care; those who preferred home care reported higher scores for the availability of community recreational facilities and the availability of home healthcare services (p<0.05).

Table 4.

Analysis of the willingness to live in elder care institutions according to the community environment of the respondents

Variables Mean±SD
(n=1003)
Range of the score Home care (n=548) Institutional care (n=455) T P value
Availability of community recreation facility 3.72±0.74 1–5 3.76±0.74 3.67±0.74 2.00 0.046
Availability of home healthcare services 3.25±0.69 1–5 3.29±0.71 3.20±0.66 2.15 0.032

Factors influencing willingness to live in elder care institutions

In this study, 45.4% of respondents said they were willing to live in elder care institutions at some point in the future. Based on the results of single factor analysis, logistic regression was conducted to analyse the factors influencing the willingness to live in elder care institutions (table 5). Regarding the individual factors, only age in years and house ownership were predictors of the willingness to enter institutions. The elders who had no property (OR=2.37, p<0.01) and those aged 80 or above (OR=2.25, p<0.01) were, respectively, 2.370 and 2.250 times more receptive to living in elder care institutions than their control groups. With regard to living arrangements, those living with a spouse (OR=0.47, p<0.01), living with children (OR=0.25, p<0.01) or living with a spouse and children (OR=0.29, p<0.01) were less willing to live in elder care institutions than those who were living alone. These results meant that the elderly who live with a spouse were 0.468 times more willing to choose institutional elder care than those who were living alone. We also found that elders who were cared for by their children (OR=0.33, p<0.01) or cared for by their spouse (OR=0.40, p<0.01) when they were ill had much lower willingness to live in elder care institutions than those who cared for themselves. The availability of home healthcare services (OR=0.78, p<0.05) was negatively associated with the willingness to live in elder care institutions.

Table 5.

Logistic regression analysis of the factors influencing willingness to live in elder care institutions

Variables Adjusted OR 95% CI
Residence (Reference: Urban)
 Rural 0.96 0.700 to 1.320
Age in years (Reference: 60–69)
 70–79 1.02 0.730 to 1.430
 ≥80 2.25** 1.490 to 3.400
House property (Reference: Yes)
 No 2.37** 1.750 to 3.200
Financial independence (Reference: Yes)
 No 0.85 0.590 to 1.210
Children (Reference: Yes)
 No 7.52** 3.310 to 17.120
Marital status (Reference: Married)
 Others 0.73 0.330 to 1.630
Living arrangement (Reference: Living alone)
 Living with spouse 0.47** 0.287 to 0.762
 Living with children 0.25** 0.158 to 0.402
 Living with spouse and children 0.29** 0.160 to 0.509
Disease caregiver (Reference: By self)
 Spouse 0.40** 0.180 to 0.903
 Son/daughter 0.33** 0.158 to 0.684
 Other relatives 0.48 0.131 to 1.760
 Nursing workers 0.80 0.337 to 1.904
 Self-rated capacity for action 1.01 0.860 to 1.180
Availability of community recreation facility 1.03 0.830 to 1.280
Availability of home healthcare services 0.78* 0.626 to 0.972

*P<0.05; **p<0.01.

Discussion

This cross-sectional study was conducted to explore the key factors contributing to the willingness to enter elder care institutions. This study was a pioneering one because we took the willingness to live in elder care institutions as the dependent variable and chose independent variables from three dimensions: individual factors, family environment and community environment.

With regard to individual factors, both the single factor analysis (table 1) and the logistic regression (table 5) demonstrated that age and house ownership were significantly associated with the willingness to live in an elder care institution. People in their 80s and above had 2.250 times more willingness to live in elder care institutions than the group aged 60–69 years. The same conclusion was drawn from another study.22 Another study pointed out that those in advanced old age are much more likely to have elder care needs, including physical and psychological.23 Given that most of these needs cannot be met by family, the willingness to accept institutional elder care rises with age. Second, when analysing house ownership and the willingness to enter institutional elder care, we found that when the elderly have their own house, they have a significantly lower willingness to accept institutional elder care than those who have no property. The elderly in China traditionally intend to live the rest of their life in their own house because they regard their own houses as their roots of life. Having their own houses gives the Chinese elderly a great sense of belonging, as a study found that the sense of comfort and freedom when receiving elder care in their own houses is irreplaceable by other methods.24 A similar conclusion was reached by other studies, which demonstrated that house ownership is highly correlated with current health status and is predictive of future mortality risk in older populations.25 26 However, statistical significance of the impact of the independent variable residence on the dependent variable (the willingness to live in elder care institutions) was found only with χ2 tests (table 1, χ²=5.36, p<0.05) and not in logistic regression, as shown in many studies.27 28 However, our result was similar to a previous study.29 We assume that, as the trend of urban–rural integration advances, the difference between urban and rural areas is not strong enough to show statistically significant differences when compared with other variables such as age and house ownership.

Family environment also comprised some typical factors influencing willingness to live in elder care institutions. This study showed that the elderly who have children were 7.52 times less willing to live in elder care institutions than those who have no children. This meant that children were negatively correlated with the willingness to live in elder care institution. In addition, we found that the elderly who lived alone and those who cared for themselves when they had diseases both had the highest willingness to live in elder care institutions. Undeniably, Chinese-grown children nowadays are facing great pressure because of the so-called ‘4-2-1’ family structure and the interpersonal tensions and work–family conflict created by the advent of globalisation and fierce market competition.30 31 However, a published review indicated that adult children still endorse filial piety in contemporary Chinese society.32 This result was consistent with many studies in which the elderly showed less willingness to live in elder care institutions when they have children.33 34 As the well-known proverb ‘raising children to ensure elder care’ indicates, in Chinese traditional culture, filial piety demands that, apart from economic and living care, psychological care should also be provided for elderly parents.35 Some previous studies have pointed out that adult children who have placed their parents in elder care homes may be negatively regarded by society.36 37 This study showed that the elderly who lived alone had the highest willingness to live in elder care institutions. We assume that the elderly living alone typically lack physical and psychological assistance and care from their family, and are therefore more willing to live in elder care institutions. Similar results were found in a study that showed that elderly people who lived alone were more willing to live in elder care institutions, for both single males and females, when compared with those who lived with children or others.38 First, as another study concluded, older people are more likely than any other section of the population to be living in single-person households.39 Second, the elderly who live alone have higher scores for loneliness and worse mental health and functioning compared with those who do not live alone.40 41 Third, a Korean study found that physical health status, self-esteem, family support and health-promoting behaviour, specifically exercise and nutrition, of the elderly living with family were higher than those of the elderly living alone.42

With an increase in age, physical health tends to deteriorate, so we included disease caregiver in our research. Our analysis showed significant differences among five disease caregivers: spouse, son or daughter, other relatives, nursing workers and the elderly person themselves; 86.24% of respondents were provided with disease care by their immediate family members or other relatives. This means that informal care is the main form of care for the elderly in China. A study in Europe showed that informal care is an effective substitute for LTC as long as the needs of the elderly are met.43 In support, in our study the lowest willingness to accept elder care institutions was shown by the elderly cared for by their spouse. A study demonstrated that a spouse can give the elder physical and, especially, mental care, thus their willingness to live in elder care institutions was lower than that of those who have no spouse.44 In the multiple logistic regression analysis, we found that when the elderly were provided with disease care by their spouse or children, their willingness to live in elder care institutions decreased. When the elderly have no children or live alone, they cannot obtain informal or formal care from family as desired, so they have to seek care from elder care institutions. Therefore, the primary culture of filial piety, the conditions of living and the presence of disease all affect the willingness of the elderly to live in elder care institutions.

Last, but not least, we paid attention to the community environment. We found that the availability of home healthcare services negatively affected the willingness to live in elder care institutions, in agreement with previous studies.45 46 In China, home healthcare services are mostly provided by institutions called elder care community centres, such as community health service centres. One study showed that these centres could increase willingness to accept home elder care.47 The research pointed out that high availability of home health services in the community provided the elderly with basic nursing services to meet their fundamental needs for care, and therefore lowered the willingness to accept institutional elder care.48 In our study, the mean availability of home healthcare services was 3.25, which is much higher than the average level because of adoption of the model of community family physician. This new Chinese policy, the ‘community family physician model’, has aroused heated discussion among all types of people. Some researchers have found that this policy is associated with problems such as unclear responsibilities, high medical risk and lack of a security system.49 50 However, some found that this policy did improve the convenience and success rate of medical treatment, thus improving the level of health of the signatories.51 52 It is no doubt that home healthcare services have become more conveniently available for elderly residents.

However, several limitations in our study should be discussed. First, we used a cross-sectional design, in which data were collected at only one point in time. This may have caused information bias, including mainly recall bias and measurement bias. In order to reduce measurement bias, the investigators underwent rigorous training to improve their survey skills and our respondents were given enough time to recall. Second, our participants were from a single province and, therefore, we cannot generalise the results to assume that they apply to all of the elderly in China. In order to make our study more convincing, we will introduce more widely used measuring tools including Activities of daily living into our research and conduct the same research nationwide in future.

Conclusion

At present, in China, the enormous pressure of elder care has shifted increasingly from family to society, and it is difficult for institutions to take on the heavy burden of care. However, the tradition of filial piety in Chinese culture is restricting the willingness of the elderly to receive institutional elder care. Therefore, we should vigorously develop community-centred intensive home-based elder care services by improving the quality and availability of home health services by expanding investment in the community. Only in this way can we meet the need for both formal and informal elder care and the need to cater to the Chinese traditional morality.

Supplementary Material

Reviewer comments
Author's manuscript

Acknowledgments

The authors thank all participants in this study. They also thank LL for her guidance on the writing of the manuscript. They thank the International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.

Footnotes

ZW and YX contributed equally.

Contributors: LL conceived and designed the experiments. ZW and WY performed the experiments. XS and XZ analysed the data. SH, YX and LL contributed reagents/materials/analysis tools. ZW wrote the paper. ZW, WY and XS provided technical support. LL critically revised the paper. All authors checked and proofread the final version of the manuscript.

Funding: This study was funded by the National Science Foundation of China (NSFC) and the China Postdoctoral Science Foundation (contract numbers 71573066/G0308 and 2018M631967).

Competing interests: None declared.

Patient consent for publication: Not required.

Ethics approval: Ethics approval for this study was granted by the Institutional Research Board of Harbin Medical University. The data were collected anonymously. Respondents were assured that participation in this survey was voluntary, with the completion of the questionnaire being taken as consent to participate.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: No data are available.

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