Skip to main content
  • Research article
  • Open access
  • Published:

Relationship between psychological health and quality of life of people affected by leprosy in the community in Guangdong province, China: a cross-sectional study

Abstract

Background

This paper investigates the relationship between psychological health and quality of life (QOL) of people affected by leprosy (PAL) living in a community in Guangdong province, China.

Methods

A population-based cross-sectional survey was conducted from April to October 2016 in Guangdong province, China. The 12-item general health questionnaire (GHQ12) and World Health Organization Quality of life-BREF (WHOQOL-BREF) were used to evaluate the psychological health and QOL of the participants. PAL recruited for this study included those who were (1) registered in LEPMIS by the end of 2015 and living in the community, (2) able to be contacted by investigators, and (3) willing to provide informed written consent for enrolling in the study. Proportions, medians, and ratios were used to describe the demographics of the participants and χ2 test was used to compare groups with different psychological health states. Pearson’s correlation coefficient and logistic regression analyses were used to assess the relationship between GHQ12 and QOL score.

Results

A total of 7230 PAL (5527 males and 1701 females, average age 67.3 ± 13.1 years) living in the community participated in the study. The participants averaged 1.7 ± 2.7 points on the GHQ12. Of these, 23.5% had scores meeting a psychological disorder (≥3 points). The scores for the physical, psychological, and social relationships, and environment dimensions of QOL were 17.2 ± 2.4, 20.6 ± 2.7, 9.7 ± 1.7, and 24.6 ± 4.0, respectively. Gender, age, employment, profession, and the four dimensions of QOL were independent factors associated with psychological health of PAL.

Conclusion

In addition to focusing on the factors associated with poor QOL and psychological health amongst PAL, there is an urgent need for stigma reduction, rehabilitation programs and social integration. This may be achieved by engaging community members together with PAL to design a locally tailored intervention program.

Peer Review reports

Background

Leprosy, also known as Hansen’s disease, is a chronic infectious disease caused by Mycobacterium leprae bacteria. Leprosy is characterized by the formation of granulomas in nerves, respiratory tract, skin, and eyes [1, 2]. A total of 174,608 new leprosy cases were reported in 136 countries worldwide in 2015, corresponding to a prevalence rate (PR) of 0.29 per 10,000 individuals [3], which is lower than the PR of 0.32 per 10,000 in 2014 [4]. The Chinese government initiated a ten-year (2011–2020) project in 2011 in an effort to eliminate leprosy. These efforts, along with sustained economic growth, have resulted in a rapid decline in endemic leprosy in China in recent years. The number of new cases of leprosy in 2015 was 678, which was a 40.7% reduction compared to 2011 [5]. This rate of decline was substantially higher than the global average rate and also the average rate from 2001 to 2010 in China [6]. Leprosy can cause an inability to feel pain, and consequently repeated injuries and infections caused by unnoticed wounds, which can result in loss of parts of the extremities. Leprosy can also cause weakness and poor eyesight. While these clinical symptoms and consequent disabilities caused by leprosy can persist for a life time, the stigma attached to this disease often outweighs the physical suffering among people affected by leprosy (PAL).

PAL also refers to those who have completed treatment and have become cured. Unlike in the past when PAL lived in leprosaria, PAL now live with families and friends in their hometown and can work as their physical health allows. In the past, the Chinese government built leprosaria to isolate and shelter PAL. After PAL have become cured, most had come back home. However, some still lived in leprosaria due to discrimination and homelessness in their native area. This subgroup of leprosy patients has been defined as “PAL living in leprosaria”. In the 1980s, multiple drug therapy was popularized in China, and separation became unnecessary for leprosy patients. Treatment can be obtained from local leprosy control institutions, and few patients were sent to leprosaria. Government provided subsidies to PAL living in leprosaria to cover their essential livelihood and medical needs, but no specific subsidies were available for PAL living in the community at large. Discrimination against leprosy is widespread in China. PAL are often ostracized by their communities [7]; this discrimination may come from neighbors, family members, and medical staff [8,9,10], which can significantly affect the quality of life (QOL) of the PAL [11]. Moreover, physical rehabilitation aids and stigma reduction programs targeting PAL living in community are challenging for several reasons: first, as PAL tend to disperse within local communities, identification of PAL is difficult; second, PAL tend to conceal their conditions to protect themselves from being identified and stigmatized [12]. PAL are vulnerable to economic, psychological, and social pressures. This negatively impacts access to care, treatment outcomes, and social functioning. Discrimination may also result in loss of wages and impede utilization of medical services [13]. Furthermore, discrimination is an important cause of delayed diagnosis, which can facilitate the transmission of leprosy within families and communities [12, 14].

Despite efforts by the Chinese government to decrease the incidence of leprosy and increase treatment accessibility, the psychological and social rehabilitation of PAL living in communities have not been adequately addressed. The psychological status and QOL of PAL living in community tend to be lower than in the general population due to prevailing poor attitudes of society towards leprosy and aggravated by disability caused by leprosy [15,16,17].Leprosy negatively impacts the physical and social functioning of PAL, which may in turn influence their psychological status [18, 19]. The psychological health of PAL is affected by several economic and social factors and is intimately connected with QOL [20]. Currently, information about PAL and their status is retained by government leprosy control institutions and are not publicly available. Thus far, there have been no large studies in mainland China to explore the QOL of PAL who have completed treatment. The main objective of this study was to investigate the psychological status and QOL of PAL living in community and to explore the relationship between these two factors in a large sample of PAL in China. We conducted a cross-sectional study on PAL in the Guangdong Province.

Method

Research context

Guangdong Province is located in southern China. It’s warm and humid climate is a contributing factor to the region’s leprosy endemic [21]. Records show that between 1949 and 2015, 96,184 people in the Guangdong province became infected with leprosy, accounting for approximately 20% of all leprosy patients in China [22]. While the prevalence of leprosy dropped to fewer than 0.1 case per 100,000 people in 2011 in the Guangdong, this province continues to carry a high burden of leprosy in China. In 2017, 74 new cases were detected and 273 leprosy patients were undergoing treatment in Guangdong. Guangdong has established 21 municipal and 98 county level leprosy control institutions, which provide coverage for the whole province. All PAL living in the community at large in Guangdong were registered in the Leprosy Management Information System (LEPMIS) in China, which was established in 2010, and their information including name, gender, age, and family address can be searched from this system.

Study design

We conducted a population-based cross-sectional survey of PAL living in the community at large in Guangdong Province, China from April to October 2016.

Study site and participants

This study was conducted in Guangdong Province, and about 21 municipal and 108 county level leprosy institutions collected and submitted their data. PAL who were registered in the LEPMIS were included in this research. Each municipal and county leprosy control institution took charge of local investigations, in which leprosy doctors and healthcare workers served as investigators. The local civil affairs bureau and public security bureau supplied necessary information to help reach PAL.

PAL recruited for this study were those who were (1) registered in LEPMIS by the end of 2015 and living in the community at large, (2) able to be contacted by investigators, and (3) willing to provide written informed consent. Individuals with complications from other severe diseases or those with logopathy or other expression disorders that prevent them from accurately answering survey questions were excluded.

Participant recruitment and questionnaire administration

The procedure of participant recruitment was as follows:

1. The information of each person was downloaded from LEPMIS;

2. To account for outdated information in LEPMIS, local public security assisted to identity persons who were no longer living, who were excluded from the study.

3. The contact information and family address of PAL were updated with the help of local civil affairs bureau.

4. Using the updated contact information, PAL were sought out using a door-to-door approach. To protect the privacy of PAL, the investigation was integrated into a follow-up visit by the essential public health service program in China.

5. The questionnaire was administered after obtaining the written informed consent from participants. Informed consent included information about study objectives, rights of study participants, and measures to protect privacy and confidentiality. A paper-based questionnaire was used in this survey with questions written in Chinese. Each question was asked by the investigator in Mandarin Chinese and provincial dialect was used if necessary.

Data collection

A total of 7690 PAL living in community were confirmed to be living and able to be located. Of these, 7230 PAL (5527 males and 1701 females) participated in the study. Among the 460 PAL not participating in the study, 311 worried about their information security, 110 were excluded due to communication problems or sickness from other severe diseases, and the remaining 39 PAL provided invalid questionnaires. Demographics of all participants, including gender, age, education, and profession, as well as psychological status and QOL of the participants were collected. Completed questionnaires were sent to local leprosy control institution and entered into Epidata. The Epidata databases were submitted from county level leprosy control institutions to municipal level leprosy control institutions, and then sent to the research team.

Measurement

The primary outcome of this study is psychological status of PAL, which was explored using the 12-item general health questionnaire (GHQ12) [23]. The GHQ12 has been previously validated for measurement of psychological disorder [20]. The standard GHQ method of scoring 0–0–1-1 was employed for each item, which allowed a maximum score of 12, and those with a GHQ score of 3 or higher were considered to have a psychological disorder [24]. The WHO Quality of life-BREF (WHOQOL-BREF) scale [25] was applied to evaluate the QOL of the participants. The WHOQOL-BREF has been tested and validated in various cultures under the coordination of the World Health Organization Quality of Life Group. This instrument contains 26 questions, where two are general questions and the remaining 24 are divided into four dimensions: physical (Domain 1, including B3, B4, B10, B15, B16, B17 and B18), psychological (Domain 2, including B5, B6, B7, B11, B19 and B26), social relationships (Domain 3, including B20, B21 and B22) and environmental (Domain 4, including B8, B9, B12, B13, B14, B23, B24 and B25). Each question uses a 5-point response scale (1 = not at all, 2 = a little, 3 = moderately, 4 = mostly, and 5 = completely), and the raw score of each dimension is 7–35, 6–30, 3–15, and 8–40, respectively, with higher scores indicating a better QOL. The psychological dimension of WHOQOL-BREF is one aspect of the QOL and cannot be used to assess psychological status independently. Therefore, we selected GHQ12 to evaluate psychological status. Questionnaires with more than 10% missing data were defined as invalid.

Statistical analysis

Epidata 3.0 was used to create a database of participant information and all data were double entered and checked for consistency. Data analysis was performed using SPSS V.24.0. Proportions were used to describe the demographics and χ2 test was used to assess statistically significant differences of psychological status among different groups. The central tendency of QOL was described and t-test was used to determine the level of significance among different psychological status groups. Pearson’s correlation coefficient was employed to assess the correlation between the QOL and GHQ12 scores. Then, the GHQ scores were classified based on the cutoff value (< 3 points vs. ≥3 points). Univariable logistic regression was performed to identify potential confounders of GHQ. Multivariable logistic regression analysis was performed to evaluate the relationship between the GHQ12 score and the dimensions of QOL. The GHQ12 score was set as a dependent variable, while the physical, psychological, social relationships, and environment scores were set as independent variables in the logistic regression analysis model. Variables with p-value less than 0.10 in the bivariate logistic regression were included in the multivariable logistic regression as covariates, and stepwise method was used for the variable selection strategy of multivariable regression. Both crude odds ratios (OR) and adjusted odds ratios (aOR) with 95% confidence intervals (CI) were reported. Results were considered statistically significant if p < 0.05.

Ethics approval and consent to participate

This research has been reviewed and approved by Ethics Review Committee of Guangdong Provincial Center for Skin Disease and STI Control. Each participant provided written informed consent to participate in the questionnaire and investigation, and all participants below the age of 18 were provided consent by their parents or legal guardians.

Results

Demographics

A total of 7230 (5527 male and 1701 female) PAL completed the questionnaire and participated in the study. The average age of the participants was 67.3 ± 13.1 years. Most were more than 50 years old (91.7%) and had primary school education or were illiterate (80.7%). Less than 20% participants had a full- or part-time job and 70.4% defined themselves as unemployed. About 4896 (67.7%) were peasants and 4.7 and 2.3% worked in factories and business, respectively (Table 1).

Table 1 Demographic characteristics by psychological health status

QOL score of participants with different psychological health status

The participants averaged 1.7 ± 2.7 points on the GHQ12. Of these, 23.5% scored in range that can translate to a psychological disorder (≥3 points). The average scores of males and females were 1.6 ± 2.6 and 2.0 ± 3.0, respectively. Participants over 69 years old averaged 2.2 ± 3.1 points, which was higher than those in other age groups. Participants who had a primary school level of education or below had a score (List score) higher than other subgroups.

The score of the physical, psychological, social relationships, and environment dimensions of QOL averaged 17.2 ± 2.4, 20.6 ± 2.7, 9.7 ± 1.7, and 24.6 ± 4.0, respectively. The score for each dimension in participants with 3 points or more on the GHQ12 was significantly lower than that in other groups (P < 0.05). (Table 2).

Table 2 Quality of Life (QOL) scores by psychological health status

Logistic regression analysis of GHQ12 score

QOL was correlated with GHQ12 score (r = − 0.504, P < 0.001). PAL with lower QOL scores in physical health (aOR = 0.83, 95% CI = -0.80–0.85), psychological health (aOR = 0.74, 95% CI = 0.71–0.77), social relationships (aOR = 0.85, 95% CI = 0.80–0.89), and environment (aOR = 0.97, 95% CI = 0.95–0.99) were more likely to have psychological disorders (GHQ12 score ≥ 3; Table 3). Gender, age, employment, and profession were associated with psychological health status of PAL. Males were more likely to have a psychological disorder (aOR = 1.31, 95% CI = 1.13–1.52) compared with females. Meanwhile, PAL who were more than 70 years old (≥70 vs. < 30: aOR = 0.69, 95% CI = 0.60–0.79), worked full-time (full-time vs. unemployment: aOR = 0.36, 95% CI = 0.27–0.48), worked part-time (part-time vs. unemployment: aOR = 0.39, 95% CI = 0.26–0.57), retired (retired vs. unemployment: aOR = 0.38, 95% CI = 0.29–0.50), worked in factory (factory workers vs. peasants: aOR = 0.89, 95% CI = 0.59–1.35), worked in business (businessmen vs. peasants: aOR = 0.85, 95% CI = 0.44–1.65), or worked in other professions (other professions vs. peasants: aOR = 1.35, 95% CI = 1.16–1.57) had a lower risk of having a psychological disorder. (Table 3).

Table 3 Factors associated with psychological disorder (GHQ12 score ≥ 3)

Discussion

This study was the first to investigate the psychological health and QOL of PAL living in the community at large in China. Our results showed that PAL living in community had poor psychological health. Also, there was a close association between psychological health and QOL.

The average and distribution of the age of PAL living in a community in Guangdong were similar to those in a study in Zhejiang Province, China, where most PAL were aged 70 (average 69.90 ± 10.65 years old) and lived with chronic diseases (59.86%) [26]. A low education level was also one of the features of PAL in this study, where less than 20% had completed the 9-year compulsory education in China [27]. In this study, psychological disorders were more likely to occur in females, the elderly, and the less educated. The frequency of psychological disorder (23.5%) in PAL in this study was higher than that of general residents in Changchun (21.1%) and Xiamen (18.1%), China [28, 29]. Significant differences were observed between scores for all the dimensions of the QOL between different GHQ12 score groups, where the group with a lower GHQ12 score had a higher QOL score. These results are similar to PAL research conducted in Rio de Janeiro, Brazil and Jharkhand, India [30,31,32].

Eliminating the hazards of leprosy is an important public health mission in China, where reducing discrimination and promoting QOL in PAL living in community are both part of this mission. Active surveillance and treatment for the wounds of PAL with deformities and disabilities are necessary. In addition, rehabilitation programs for their support and occupational opportunities for them to contribute meaningfully to society will be helpful. In Indonesia, researchers used Rights-Based Counselling to reduce leprosy-related stigma. A significant reduction was found between the before and after total scores of the stigma scale, and the reduction of intervention group was significantly larger than control group (p < 0.001) [14]. Self-care groups, which organize PAL together regularly and teach them how to take care of their ulcers and other disabilities, were created in China, Nigeria, and other leprosy endemic countries to promote the physical and psychological rehabilitation of PAL. Some of these programs report that the ulceration prevalence had decreased and family support had increased compared to the control group [33, 34]. Moreover, locally suitable stigma reduction strategies, which aim to increase the social participation of PAL such as in mass meetings, audiovisual shows, short movie, local human resources recruitment or training, can help reduce stigma in a community [35]. Future stigma reduction strategies also should utilize the elements of community engagement, in which community members work together with PAL jointly in the design of tailored stigma reduction interventions for their community [17].

Although the above-mentioned measures presented with promising results, the influence was restricted for these measures were divided as tertiary prevention which aims to promote physical and psychological rehabilitation. More studies are needed to create sustainable interventions of secondary prevention (aims to promote early detection, early diagnosis and early treatment) and primary prevention (aims to reduce pathogenic and risk factor). Leprosy syndromic surveillance program, which integrated the wide coverage of general hospital with the superior leprosy diagnosis ability of leprosy control institution, has been successfully applied in Zhejiang Province to promote leprosy early detection. This program has achieved progress in decreasing disabilities and discrimination, and thus may improve the QOL of leprosy patients and PAL [36]. This model has the potential to be generalized to Guangdong and other districts in China, as well as to be adapted to other leprosy endemic countries.

Limitations

The marital status of the participants was not obtained due to a mistake in data collection. Most participants were elderly and had low literacy, although one-to-one interviewer-administered survey was used, there still might have been information bias due to poor recall and misunderstanding of the questions. This cross-sectional survey only explored the relationship between QOL and psychological health among PAL. Further studies are needed to identify the causal relationship between QOL and psychological health, or any interaction and moderation effects of covariates.

Conclusion

In addition to focusing on the factors associated with poor QOL and psychological health amongst PAL, there is an urgent need for stigma reduction, rehabilitation programs and social integration for PAL in China. These may be achieved by engaging community members together with PAL to design locally tailored interventions programs.

Abbreviations

GHQ12:

12-item general health questionnaire

LEPMIS:

Leprosy Management Information System in China

PAL:

People affected by leprosy

QOL:

Quality of life

SPSS:

Statistic Package for Social Science

WHOQOL-BREF:

World Health Organization Quality of life-BREF

References

  1. Leprosy [http://www.who.int/mediacentre/factsheets/fs101/en/].

  2. Hansen's Disease (Leprosy) [https://www.cdc.gov/leprosy/index.html].

  3. WHO. Global leprosy update, 2015: time for action, accountability and inclusion. Wkly Epidemiol Rec. 2015;91(35):405–20.

    Google Scholar 

  4. WHO. Global leprosy update, 2014: need for early case detection. Wkly Epidemiol Rec. 2015;90(36):461–74.

    Google Scholar 

  5. Long S, Yu M, Yan L, Zhang G, Sun P. Epidemiological features of leprosy in China from 2011 to 2015. Chinese Journal of Dermatology. 2017;50(6):400–3.

    Google Scholar 

  6. Yu M, Zhang G, Yan L, Shen J, Sun P. Epidemiological analysis on leprosy in China, 2001-2010. Chinese Journal of Dermatology. 2012;45(6):3.

    Google Scholar 

  7. Lusli M, Zweekhorst MB, Miranda-Galarza B, Peters RM, Cummings S, Seda FS, Bunders JF. Irwanto: dealing with stigma: experiences of persons affected by disabilities and leprosy. Biomed Res Int. 2015;2015:261329.

    Article  Google Scholar 

  8. Tabah EN, Nsagha DS, Bissek AZ, Njamnshi TN, Njih IN, Pluschke G, Njamnshi AK. Community knowledge, perceptions and attitudes regarding leprosy in rural Cameroon: the case of Ekondotiti and Mbonge health districts in the south-west region. PLoS Negl Trop Dis. 2018;12(2):e0006233.

    Article  Google Scholar 

  9. Dako-Gyeke M. Courtesy stigma: a concealed consternation among caregivers of people affected by leprosy. Soc Sci Med. 2018;196:190–6.

    Article  Google Scholar 

  10. Liying Y, Meier P, Jingquan W. Study on leprosy-related discrimination and knowledge in medical staff of leprosy control agency. Chinese Preventive Medicine. 2009;10(12):1098–100.

    Google Scholar 

  11. Van Brakel WH. Measuring health-related stigma: a literature review. Psychol Health Med. 2006;11(3):307–34.

    Article  Google Scholar 

  12. Adhikari B, Kaehler N, Chapman RS, Raut S, Roche P. Factors affecting perceived stigma in leprosy affected persons in western Nepal. PLoS Negl Trop Dis. 2014;8(6):e2940.

    Article  Google Scholar 

  13. Li R, Chen S. Evaluation of health service utilization among disabled persons affected by leprosy. China Journal of Leprosy and Skin Diseases. 2008;24(7):517–9.

    Google Scholar 

  14. Lusli M, Peters R, van Brakel W, Zweekhorst M, Iancu S, Bunders J, Irwanto RB. The impact of a rights-based counselling intervention to reduce stigma in people affected by leprosy in Indonesia. PLoS Negl Trop Dis. 2016;10(12):e0005088.

    Article  Google Scholar 

  15. Adhikari B, Shrestha K, Kaehler N, Raut S, Chapman RS. Community attitudes towards leprosy affected persons in Pokhara municipality of western Nepal. J Nepal Health Res Counc. 2013;11(25):264–8.

    CAS  PubMed  Google Scholar 

  16. Kaehler N, Adhikari B, Raut S, Marahatta SB, Chapman RS. Perceived stigma towards leprosy among community members living close to Nonsomboon leprosy Colony in Thailand. PLoS One. 2015;10(6):e0129086.

    Article  Google Scholar 

  17. Marahatta SB, Amatya R, Adhikari S, Giri D, Lama S, Kaehler N, Rijal KR, Marahatta S, Adhikari B. Perceived stigma of leprosy among community members and health care providers in Lalitpur district of Nepal: a qualitative study. PLoS One. 2018;13(12):e0209676.

    Article  Google Scholar 

  18. Savassi LC, Bogutchi TR, Lima AC, Modena CM. Quality of life of leprosy sequelae patients living in a former leprosarium under home care: univariate analysis. Qual Life Res. 2014;23(4):1345–51.

    Article  Google Scholar 

  19. Leite SC, Caldeira AP. Therapeutic workshops and psychosocial rehabilitation for institutionalised leprosy patients. Cien Saude Colet. 2015;20(6):1835–42.

    Article  Google Scholar 

  20. Stevelink SA, van Brakel WH, Augustine V. Stigma and social participation in southern India: differences and commonalities among persons affected by leprosy and persons living with HIV/AIDS. Psychol Health Med. 2011;16(6):695–707.

    Article  CAS  Google Scholar 

  21. Britton WJ, Lockwood DN. Leprosy. Lancet (London, England). 2004;363(9416):1209–19.

    Article  Google Scholar 

  22. Xiong M, Li M, Zheng D, Wang X, Su T, Chen Y, Yang B. Evaluation of the economic burden of leprosy among migrant and resident patients in Guangdong Province, China. BMC Infect Dis. 2017;17(1):760.

    Article  Google Scholar 

  23. El-Metwally A, Javed S, Razzak HA, Aldossari KK, Aldiab A, Al-Ghamdi SH, Househ M, Shubair MM, Al-Zahrani JM. The factor structure of the general health questionnaire (GHQ12) in Saudi Arabia. BMC Health Serv Res. 2018;18(1):595.

    Article  Google Scholar 

  24. Martin CR, Newell RJ. The factor structure of the 12-item general health questionnaire in individuals with facial disfigurement. J Psychosom Res. 2005;59(4):193–9.

    Article  Google Scholar 

  25. WHO Quality of Life-BREF (WHOQOL-BREF) [http://www.who.int/substance_abuse/research_tools/whoqolbref/en/].

  26. Kong W, Yan L, Shen Y. A survey on the health status and the lnfluencing factors among the cured leprosy patients in Zhejiang Province. Chinese Journal of Leprosy and Skin Diseases. 2014;30(6):338–40.

    Google Scholar 

  27. Li A. Correlation analysis of Yunnan minority average life and average education years of schooling. The Guide of Science & Education. 2016;5:197–89.

    Google Scholar 

  28. Ma Y, Su Y, Yang G, Liu Y, You Y, Zhang Y, Fu Y, Kou C. The general mental health status and analysis on its related factors in adults of Changchun City. Chinese Journal of Disease Control & Prevention. 2016;20(7):663–6.

    Google Scholar 

  29. Ding L, Wang W, Liao Z, Wen C, Hong X, Chen Y, Wu S. Epidemiological investigation in residents (more than 18 years old) with depressive disorder in Xiamen City. Chinese Journal of Prevention and Control of Chronic Diseases. 2013;20(7):663–6.

    Google Scholar 

  30. de Castro LE, da Cunha AJ, Fontana AP, de Castro Halfoun VL, Gomes MK. Physical disability and social participation in patients affected by leprosy after discontinuation of multidrug therapy. Lepr Rev. 2014;85(3):208–17.

    PubMed  Google Scholar 

  31. Majumder N. Socio-economic and health status of leprosy affected person: a study in Jharkhand. Indian J Lepr. 2015;87(3):145–54.

    CAS  PubMed  Google Scholar 

  32. Tada A. The associations among psychological distress, coping style, and health habits in Japanese nursing students: a Cross-sectional study. Int J Environ Res Public Health. 2017;14(11).

  33. Li J, Mu H, Ke W, Bao X, Wang Y, Wang Z, Zeng B, Cross H. The sustainability of self-care in two counties of Guizhou Province, Peoples' republic of China. Lepr Rev. 2008;79(1):110–7.

    PubMed  Google Scholar 

  34. Ebenso J, Muyiwa LT, Ebenso BE. Self care groups and ulcer prevention in Okegbala, Nigeria. Lepr Rev. 2009;80(2):187–96.

    PubMed  Google Scholar 

  35. Adhikari B, Pell C, Phommasone K, Soundala X, Kommarasy P, Pongvongsa T, Henriques G, Day NPJ, Mayxay M, Cheah PY. Elements of effective community engagement: lessons from a targeted malaria elimination study in Lao PDR (Laos). Glob Health Action. 2017;10(1):1366136.

    Article  Google Scholar 

  36. Kong W, Shen Y, Wu L, Fei L, Yan L. Assessment of monitoring system of leprosy suspicious symptoms in Zhejiang. Chinese Journal of Leprosy and Skin Diseases. 2016;32(1):1–3.

    Google Scholar 

Download references

Acknowledgements

We would like to thank the staffs of leprosy control institutions and the participants in Guangdong province who made contributions to this study.

Funding

This research has been funded by Medical Science and Technology Research Foundation of Guangdong Province (A2017258), Science Research Initiative of Southern Medical University (C1034402), and Joint TDR/WPR Small Grants Scheme for Implementation Research in Infectious Diseases of Poverty (HQTDR1611221). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The datasets used and analyzed during the current study available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

Authors

Contributions

DZ, BY and ML have designed the research and provided technical support to research implementation and data analysis. MX and DZ analyzed the research data and wrote the manuscript, and substantively revised it. ML, XW and TS implemented the research and collected and analyzed research data. MX and ML got the research funding. All authors have read and approved the manuscript, and ensure that this is the case.

Corresponding authors

Correspondence to Ming Li or Daocheng Zheng.

Ethics declarations

Ethics approval and consent to participate

This research has been reviewed and approved by Ethics Review Committee of Guangdong Provincial Center for Skin Disease and STI Control. Each participant provided written informed consent to participate in the questionnaire and investigation, and all the minor participants were provided consent by their parents or legal guardians.

Consent for publication

Not Applicable.

Competing interests

None of the authors have any competing interests in the manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xiong, M., Wang, X., Su, T. et al. Relationship between psychological health and quality of life of people affected by leprosy in the community in Guangdong province, China: a cross-sectional study. BMC Public Health 19, 424 (2019). https://doi.org/10.1186/s12889-019-6672-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-019-6672-x

Keywords