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

Life expectancy and healthy life expectancy of patients with advanced schistosomiasis in Hunan Province, China



Few studies have investigated the change in life expectancy (LE) and the healthy lifespan among patients with advanced schistosomiasis. This study was to evaluate the LE and healthy life expectancy (HLE) for patients and assess the mechanism responsible for the LE inequality.


We utilized data from a dynamic advanced schistosomiasis cohort (10,362 patients) for the period from January 2008 to December 2019 in Hunan Province, China, to calculate the LEs of patients, and made a comparison with that of general population (19,642 schistosomiasis-free individuals) in the schistosomiasis endemic areas. LEs were estimated from 15 years of age by constructing period life tables. Arriaga’s decomposition method was applied to quantify the influence of the age structure on the difference in LE. HLE for advanced schistosomiasis patients was calculated by using Sullivan method with age-specific disability weight. The LE and HLE were calculated for both males and females to perform further analyses on gender gap.


The estimated LE for advanced schistosomiasis patients aged 15–19 was 49.51 years (48.86 years for males and 51.07 years for females), which was 20.14 years lower compared with general population (69.65 years), and the LE gap between patients and general population decreased with age. The largest age-specific mortality contribution to the gap (32.06%) occurred at age 80–84 years. Women had a lower LE and HLE than men at age ≥ 60 years (both gender gaps in LE and HLE < 0). For advanced schistosomiasis patients, the gender gap in LE was largely attributed to the difference in mortality among those under the age of 55; the age-specific mortality in women exerted positive influence on the gap at age 25–64 and 75–79 years, with the contribution rate ranging from 0.59% to 57.02%, and made the negative contribution at other age groups.


The LE of advanced schistosomiasis patients was still much lower compared with general population. Strengthened prevention strategies and targeted treatments are needed to reduce morbidity and mortality due to advanced schistosomiasis, especially for younger population and elderly female patients.


Advanced schistosomiasis is the most severe form of schistosomiasis japonica, a serious neglected tropical disease with considerable morbidity endemic in China, Indonesia, and the Philippines [1,2,3]. Lack of timely and effective treatment or long-term repeated infections can lead chronic schistosomiasis to advanced schistosomiasis [3], and cause sustained damage to both intestine and liver parenchyma, bleeding of the upper gastrointestinal tract, spontaneous bacterial peritonitis, hepatic failure, and a high level of mortality or disability [4,5,6]. In the past, the mean survival of the advanced patients in China was only 5.16 years [7], and the rate of potential years of life lost of all causes of death was 25.63% [8].

The incidence and prevalence of schistosomiasis have been steadily decreasing [9], and patients with advanced schistosomiasis have been experiencing lengthening lifespan in China during the past several decades due to effective schistosomiasis control measures [10]. In 2005, China launched a national medical assistance program in which large funds are expended by the government to assist patients with advanced schistosomiasis in treatment, and achieved a great reduction in the mortality [11, 12]. However, there are still around 30,000 patients with advanced schistosomiasis in the country [13], and few studies have investigated their current lifespan and change in life expectancy (LE).

As an important summary measure of mortality, LE reflects the health conditions of all age groups and covers multiple health dimensions, and is therefore crucial for exploring the health status of a specific population and for strengthening health policy decisions [14]. Yu et al. assessed the LE of patients with advanced schistosomiasis in 1992 and found that the LE was 26.80 years at 10 years of age and was more than 30 years lower compared with the general population [15]. The LE has not been reevaluated since then. Large inequalities in the LE between two populations may exist since the age-specific mortality rates vary substantially [16]. Decomposition of the contributions of age-specific mortality change could reveal which age groups are mainly responsible for the change in LE, and thus help with more targeted therapeutic efforts for individuals.

Notably, increased longevity is not simply equivalent to increased quality of life. Severe disability caused by advanced schistosomiasis (e.g., anaemia, growth retardation) also leads to a heavy disease burden for patients [17]. A recent study showed an upward trend for the disease burden of advanced schistosomiasis [18]. The growth of advanced schistosomiasis cases and disease burden implies an increasing demand for health care and medical support. Healthy life expectancy (HLE) is a comprehensive indicator, which derives its change from changes in both mortality and health status [19]. It could thus reflect the health trends of advanced schistosomiasis patients and provide the implication for medical interventions in improving patients’ quality of life.

To fill the knowledge gap in LE and to better understand the current health status for advanced schistosomiasis, we evaluated the LE and HLE of patients and made a comparison to the general population from schistosomiasis endemic areas in Hunan Province, China. We also explored the mechanism of gender inequality in LE through decomposition analysis by age groups.


Data sources

We first utilized data from a dynamic advanced schistosomiasis cohort in Hunan Province, China from January 2008 to December 2019. The cohort was established in 2005 by the Hunan Institute for Schistosomiasis Control (HISC), and has thereafter continuously recruited advanced schistosomiasis patients who are registered in the National Medical Assistance Program [20]. HISC collects the patients’ baseline information (e.g., demographics, epidemiological history, and treatment history) and obtains written informed consent from patients themselves or their close relatives at enrollment. Clinical data and outcomes are acquired from each observation of admission or annual follow-up. Details of the data collection have been previously described [4]. As patients with advanced schistosomiasis mainly died from schistosomiasis and its related complications, the death outcome that appeared in this study was regarded as all-cause death.

We then obtained population and mortality data for general population from 2019 census in 11 national schistosomiasis surveillance sites with severe epidemic in Hunan Province. Schistosomiasis surveillance sites, established in villages, refer to areas endemic with schistosomiasis where routine surveillance and emergency endemic surveillance are implemented with main efforts on case reports, case surveys and acute schistosomiasis warnings [21, 22]. Therefore, community dwelling members without S. japonica infection in these areas can be a representative sample of general population comparable to those infected. Information on the age, sex, and death date of deceased persons was collected. Totally, 10,362 advanced schistosomiasis patients and 19,642 schistosomiasis-free individuals were included in this study.

Statistical analysis

Calculation of LE

LEs were calculated with the construction of period life tables based on an average of age-specific death rates for a 5-year time period [23]. For both patients with advanced schistosomiasis and general population, LEs were estimated from 15 years of age since there were no patients under age 15. For patients with advanced schistosomiasis, we calculated age-specific mortality rates based on the numbers of observed person-years and deaths for each age group during 2008–2019 and then converted them into life table age-specific probabilities of dying. For general population, the age-specific mortality rates were calculated for the year of 2019. A probability of dying of 1 was assigned to the open-ended interval age group (≥ 85 years in this study). Other life table functions (e.g., probability of surviving, number of years lived and total number of years lived) and LE were defined and computed using the standard life table expressions [23]. Life tables were also constructed for males and females separately, and the decomposition of age-specific mortality contribution to the gender gap in LE was examined. The loss years of LE due to advanced schistosomiasis was the difference in LE between the patients and general population, and the loss rate was calculated as lost years of LE divided by LE of general population.

Decomposition of the LE gap

Among various decomposition approaches [24,25,26], Arriaga's method [24] was applied for its easy application to life table data and the capability to provide effects of the last open-ended age group. We estimated the age-specific mortality contributions to: (i) the LE difference between general population and patients with advanced schistosomiasis overall as well as for males and females separately; (ii) the gender gap in LE among both patient and general groups. The method measures the LE gap and decomposes the overall change into three components with additivity: a direct effect, an indirect effect, and an interaction effect [27]. The direct effect on the difference in LE results from mortality changes within each age group, whereas the indirect effect is due to a difference in the number of survivors at the end of that age interval from a mortality change within a specific age group. The interaction effect reflects the impact combining the changed number of survivors at the end of the age interval and the lower (or higher) mortality rates at older ages [24, 27].

The formula consists of two mathematical terms (i.e., direct effect, indirect and interaction effects):

$${}_{n}T{E}_{x}=\left[\frac{{l}_{x}^{1}}{{l}_{0}}\times \left(\frac{{L}_{x}^{2}}{{l}_{x}^{2}}-\frac{{L}_{x}^{1}}{{l}_{x}^{1}}\right)\right]+\left[\frac{{T}_{x+n}^{2}}{{l}_{0}}\times \left(\frac{{l}_{x}^{1}}{{l}_{x}^{2}}-\frac{{l}_{x+n}^{1}}{{l}_{x+n}^{2}}\right)\right].$$

For the last open-ended age interval, the contribution can be expressed as:

$${TE}_{x}^{^{\prime}}=\frac{{l}_{x}^{1}}{{l}_{0}}\times \left(\frac{{T}_{x}^{2}}{{l}_{x}^{2}}-\frac{{T}_{x}^{1}}{{l}_{x}^{1}}\right),$$

where nTEx is the total contribution between age x and x + n, lx and lx+n is the number of individuals alive at age x and x + n, l0 is the hypothetical cohort size (commonly 100,000), Lx is the number of person-years lived within the single-age interval, and Tx and Tx+n is the total number of person-years lived above age x and x + n. "1" represents the reference group (e.g., general population; male group), and "2" represents advanced schistosomiasis patients or female groups.

Another decomposition method proposed by Pollard [25] was also used to compare with the results from Arriaga's method, and checked for their consistency.

Calculation of HLE

Sullivan method [28] was applied to calculate the HLE in patients with advanced schistosomiasis within each 5-year age interval based on life tables and disability data of patients [19]. This method is widely used in the estimation of HLE for its straightforward and succinctness [29,30,31]. In this study, HLE represents the schistosomiasis-free life expectancy for advanced cases. We applied the age-specific disability weight (DW) of advanced schistosomiasis japonica proposed by Jia et al. [32] to transform the health status of patients and obtain the hypothetical number of surviving person-years without disability. The DW is 0.510 for age ≥ 60 years, 0.399 for age 45–59 years, and 0.378 for age < 45 years, estimated based on patients' self-rated health scores on the visual analogue scale of an “EQ-5D plus” questionnaire [32].

The HLE is calculated as follows:

$${HLE}_{x}=\frac{1}{{l}_{x}}\times \sum_{i=x}^{w}\left[{L}_{x}\times \left(1-{D}_{x}\right)\right].$$

The corresponding loss of HLE is calculated as:

$${LHE}_{x}=\frac{1}{{l}_{x}}\times \sum_{i=x}^{w}\left({L}_{x}\times {D}_{x}\right),$$

where HLEx and LHEx are the HLE and HLE loss years for advanced schistosomiasis patients respectively, w represents the largest age category, lx is the number of survivors at age x, Lx is the total number of person-years lived above age x and x + n, and Dx is the DW for individuals within an age group (x, x + n). Subgroup analysis was done by sex to examine the gender inequality in HLE. The left of healthy years (i.e., HLE left) within a specific age group was obtained by calculating the difference of HLE between age x and age x + n.

This study was approved by the Ethical Review Committee of the School of Public Health, Fudan University, China. All data analyzed was fully anonymized.


LEs for advanced schistosomiasis patients and general population

The estimated LE at age group 15–19 was 49.51 years for patients with advanced schistosomiasis (48.86 years for males and 51.07 years for females), which was 20.14 years lower than that of general population (69.65 years) as shown in Table 1. The LE gap between the patients and schistosomiasis-free people tended to decrease with age regardless of gender. For both groups, the LE for females was higher at younger age (gender gap > 0) but lower at older age (gender gap < 0) compared with males (Table 1; Fig. 1), while the opposite was true for the loss of LE (Fig. 2). The gender gap in LE was more pronounced at younger age for both groups; the LE for women descended faster than men among patients, with a greater lost rate of LE after age 50 (Fig. 2). Details in LE for both patients and general population are presented in Additional file 1.

Table 1 The life expectancy of advanced schistosomiasis patients and general population
Fig. 1
figure 1

Life expectancy in patients with advanced schistosomiasis and general population

Fig. 2
figure 2

The loss years and loss rates of life expectancy in patients with advanced schistosomiasis

Decomposition of age-specific mortality contribution

Results of age-specific mortality contributions calculated by Arriaga's method are shown in Figs. 3 and 4. For both males and females, higher mortality rates in patients with advanced schistosomiasis made the largest contribution to the decline in LE at age 80–84 years (Fig. 3a), accounting for nearly one third of the loss (6.46 years (32.06%) for all patients, 6.06 years (31.21%) for males, and 8.17 years (40.48%) for females) (Fig. 3b). Under the age of less than 80, the contribution of changes in age-specific mortality ranged from an increase (contribution rate: from 0.89% to 9.07% in those aged 15–34 years) to a decrease (contribution rate: from 8.51% to 2.33% in those aged 35–69 years) for males, while there was no clear pattern in age-specific mortality contribution for females. Compared with males, females showed a larger negative impact of the mortality change on the reduction of LE at age of < 25 (contribution rate: female 3.89–4.12% vs male 0.89–1.70%) or ≥ 65 (contribution rate: female 3.01–40.48% vs male 2.33–31.21%) than other age groups (Additional file 2).

Fig. 3
figure 3

Age-specific mortality contribution to the gap in LE between advanced schistosomiasis patients and general population. a Age-specific mortality contribution to the gap in LE (years). b The rate of age-specific mortality contribution to the gap in LE. LE life expectancy

Fig. 4
figure 4

Age-specific mortality contribution to the gender gap in LE among advanced schistosomiasis patients. a Age-specific mortality contribution to the gender gap in LE (years). b The rate of age-specific mortality contribution to the gender gap in LE. LE life expectancy

The contribution of age-specific mortality change to the LE difference between males and females are presented in Fig. 4 and Additional file 3. The age contribution pattern of advanced schistosomiasis patients was different from that of general population. Under age of 55, the age-specific mortality contribution to gender inequality in LE was more pronounced for patients but less pronounced for general population, as the absolute contribution rate of all age groups before 55 was larger in patients (11.86–57.02%) than in general population (0.07–13.66%).

For advanced schisotosomiasis patients, the change in age-specific mortality in those aged 25–64 and 75–79 years contributed positively (increased LE > 0) to the gender gap in LE (Fig. 4a), with the contribution rate ranging from 0.59% to 57.02% (Fig. 4b; Additional file 3). Such contribution pattern of age-specific mortality difference in gender was much dissimilar to that of general population, but shifted to the same negative impact (increased LE < 0) in older groups aged above 80, indicating a substantial influence of disease on the survival for young and middle-age people with advanced schistosomiasis.

Decomposed by Pollard’s method, however, the advanced-age (80–84 years) mortality contributed much smaller (an overall 0.53 years (2.75%) of LE loss) than most of other age groups, due probably to the increasing residual effects in the advanced age groups. Although lacking estimation from the open-ended age interval, results of Pollard’s decomposition showed a similar contribution pattern to that of Arriaga's method in age groups of 30–69 (Additional file 4). Given the overt deviation of the LE difference produced by Pollard’s method, results from Arriaga's method might be more precise in current data and were subsequently discussed.

HLE for advanced schistosomiasis patients

The HLE of advanced schistosomiasis patients at age 15–19 were 30.80 years for all the patients, 30.39 years for males, and 31.76 years for females (Fig. 5; Additional file 5). Overall, the loss years of HLE decreased with age. Patients tended to lost less HLE at the age of 55–59 (8.78 years), but later experienced a greater decrease in HLE at age 60–64 years (9.56 years). There was a consistent trajectory of the gender gap for HLE and LE in advanced schistosomiasis patients (Additional file 5). Females lost less HLE (gender gap > 0) in younger ages but more (gender gap < 0) in older ages (≥ 60) compared to males, with a decreasing gap from age 35 to 64.

Fig. 5
figure 5

Healthy life expectancy and the loss of healthy years of patients with advanced schistosomiasis. a All patients. b Males. c Females. HLE healthy life expectancy


This study examined the LE and HLE among patients with advanced schistosomiasis in Hunan province, China and made a comparison with general population. The study demonstrated that both the reduction of LE due to advanced schistosomiasis and the gender inequality in LE varied with age-specific mortality. Our findings have strong practical implications on clinical treatment for advanced schistosomiasis; also, they could provide useful information for more effective implementation of medical assistance policies and allocation of health resources in the future.

LE has significantly increased for advanced schistosomiasis patients (from 24.95 at age 15 in 1992 [15] to 49.51 years at present). Our study showed that patients with advanced schistosomiasis still had a 20-year lower LE compared with general population. The change in mortality due to advanced schistosomiasis for the very elderly (≥ 80 years) mainly contributed to the loss of LE, indicating a prolonged lifespan in advanced schistosomiasis patients. Apart from the long disease course from chronic to late stage resulting in high morbidity in older population [33], the implementation of medical support helped reduce the mortality rate of complications related to advanced schistosomiasis and improve patients’ health conditions [11].

Despite extended lifespan, patients with advanced schistosomiasis lost more than 18 years of HLE. Most patients would be accompanied by heavy disability and experience poor quality of life due to decreased aerobic capacity and complications relevant to impaired liver function [4, 32]. A few studies attempted to assess the patient's overall health status from the perspective of physical conditions combined with working capacity and psychological fitness [5, 34, 35], but none revealed how long the patients could live with a healthy life. We evaluated patients’ potential healthy lifespan based on the age-specific DW, and found that women had a lower HLE and a higher loss rate of HLE than men after the age of 60. This result indicated that improved interventions including treatment and medical care may be required for elderly women.

The gender inequity in LE varied considerably with age, and our study showed a similar picture for general population as compared with previous studies conducted in China and other countries [36,37,38], where the primary contributions to gender gap were derived from advanced age groups. For advanced schistosomiasis patients, the gender gap in LE was largely attributed to the significant change in mortality at younger ages (mainly < 55 years), indicating a more profound impact of the disease on the gender inequality in survival probability of younger patients. Such contrary findings might be explained by lifestyle risk factors [39, 40] that are associated with unfavorite prognosis of chronic liver damages. In addition, our study indicated that males at young and middle ages (25–59 years) were more vulnerable to advanced schistosomiasis-related death than female counterparts. The reason for the higher mortality of middle-age males is likely related to individual behaviors, such as smoking and alcohol consumption which were demonstrated to drive hepatic fibrosis progression [41, 42] and might thus increase liver tissue injury induced by schistosome infection [43]; however, it needs further studies to confirm. It highlighted the importance of early detection, diagnosis, and treatment of schistosome infection to prevent or delay the progression to advanced stage.

This study provided new estimates of LE and HLE for advanced schistosomiasis patients. Major strengths include the prospective nature of study design (dynamic cohort), large sample size (all patients in Hunan province during a 11-year period), rarely lost to follow-up (medical assistance program), and stringent mortality ascertainment. There are also some limitations. First, there was no information on specific causes of death to perform decomposition analysis, and the results could be biased towards the impact of advanced schistosomiasis on LE and overestimate in HLE. Second, there was a lack of information on the influencing factors of LE associated with advanced schistosomiasis (e.g., degree of infection, lifestyles, severity of disease, and treatment history), and further research is needed to interpret the LE inequality among different populations. Third, we only used age-specific DW to calculated HLE. When available, DW estimates based on individuals’ symptoms could be applied to refine the gender difference in HLE. Fourth, validation of LE in patients from other schistosomiasis epidemic regions is needed for comparison.


This study estimated the current LE and HLE of advanced schistosomiasis in Hunan Province, China. The LE for patients significantly improved but was still much lower compared with general population. Women had lower LE and HLE and a high loss rate than men at advanced ages. The age-specific mortality contributions to the gender gap in LE were centralized in young and middle-age among patients with advanced schistosomiasis. Our findings highlighted the necessity of strengthening prevention strategies to reduce morbidity and premature deaths due to advanced schistosomiasis at younger ages, and targeting actions of health improvement for elderly female patients. Financial and technological support in treatment remains much to desire so that the medical assistance project could be assessible to more patients.

Availability of data and materials

The data that support the findings of this study are available from Hunan Institute for Schistosomiasis Control, Hunan, China, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Hunan Institute for Schistosomiasis Control, Hunan, China.



Life expectancy


Healthy life expectancy


Hunan Institute for Schistosomiasis Control


Disability weight


  1. McManus DP, Dunne DW, Sacko M, Utzinger J, Vennervald BJ, Zhou XN. Schistosomiasis. Nat Rev Dis Primers. 2018;4(1):13.

    Article  Google Scholar 

  2. Xia S, Xue JB, Zhang X, Hu HH, Abe EM, Rollinson D, et al. Pattern analysis of schistosomiasis prevalence by exploring predictive modeling in Jiangling County, Hubei Province, P.R. China. Infect Dis Poverty. 2017;6(1):91.

    Article  Google Scholar 

  3. Li C, Ren G, Deng W, Li S, Hu B, Shi Y, et al. Prevalence and incidence of advanced schistosomiasis and risk factors for case fatality in Hunan Province, China. Acta Trop. 2021;217: 105862.

    Article  Google Scholar 

  4. Jiang H, Deng W, Zhou J, Ren G, Cai X, Li S, et al. Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis. Int J Parasitol. 2021;51(11):959–65.

    Article  Google Scholar 

  5. Wu XH, Wang TP, Lu DB, Hu HT, Gao ZB, Zhu CG, et al. Studies of impact on physical fitness and working capacity of patients with advanced Schistosomiasis japonica in Susong County, Anhui Province. Acta Trop. 2002;82(2):247–52.

    Article  Google Scholar 

  6. Liao HB. Effect of clinical pathway on advanced schistosomiasis patients with acites: a report of 220 cases. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2015;27(3):319–20 (in Chinese).

    Google Scholar 

  7. Li YS, Yu DB, Li Y, Yuan LP, Xiang Y, Zhao XG, et al. A study and analysis of the deaths due to advanced Schistosoma-Japonicum infection in the Dongting Lake Area of China. J Trop Med Hyg. 1993;96(2):128–30.

    CAS  Google Scholar 

  8. Huang D, Ma X, Fau-Cai L, Cai L. Evaluation of the effect of causes of death of advanced schistosomiasis patients on the life span of population by using potential years of life lost analysis. Chinese J Parasitol Parasitic Dis. 1998;16(6):449–53 (in Chinese).

    CAS  Google Scholar 

  9. Zhou Y, Chen Y, Jiang Q. History of Human Schistosomiasis (bilharziasis) in China: from discovery to elimination. Acta Parasitol. 2021;66(3):760–9.

    Article  Google Scholar 

  10. Wu YZ, Sun GX, Gui FC, Cheng HR, Qian M, Xu DY, et al. Analysis of life span and death causes of advanced schistosomiasis patients in different control stages. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 1996;8(5):289 (in Chinese).

    Google Scholar 

  11. Song L, Wu X, Ren J, Gao Z, Xu Y, Xie H, et al. Assessment of the effect of treatment and assistance program on advanced patients with schistosomiasis japonica in China from 2009 to 2014. Parasitol Res. 2016;115(11):4267–73.

    Article  Google Scholar 

  12. Li FY, Tan HZ, Zhou J, Zhou RH, Zhu JH, Cai XT, et al. Analysis of characteristics of medical assistance to advanced schistosomiasis patients in Hunan Province, 2015. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2017;29(3):281–5 (in Chinese).

    Google Scholar 

  13. Zhang LJ, Xu ZM, Dang H, Li YL, Lu S, Xu J, et al. Endemic status of schistosomiasis in People’s Republic of China in 2019. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2020;32(6):551–8 (in Chinese).

    CAS  Google Scholar 

  14. Zheng Y, Chang Q, Yip PSF. Understanding the increase in life expectancy in Hong Kong: contributions of changes in age- and cause-specific mortality. Int J Environ Heal R. 2019;16(11):1959.

    Google Scholar 

  15. Yu SL, Luo DF, Yin P, Yang PN, Xiang HY, Wang S. Analysis of life expectancy of patients with advanced schistosomiasis. Chinese J Health Statis. 1992;9(4):51–3 (in Chinese).

    Google Scholar 

  16. Vaupel JW. How change in age-specific mortality affects life expectancy. Pop Stud-J Demog. 1986;40(1):147–57.

    Article  CAS  Google Scholar 

  17. Li YT, Cai XT, Zhu JH, Sun LP, Hua HY, Tian LG, et al. Approaches used for assessment of the burden of advanced schistosomiasis japonica: a comparative study. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2019;31(3):280–4 (in Chinese).

    Google Scholar 

  18. Wu LL, Hu HH, Zhang X, Zhou XN, Jia TW, Wang C, et al. Cost-effectiveness analysis of the integrated control strategy for schistosomiasis japonica in a lake region of China: a case study. Infect Dis Poverty. 2021;10(1):79.

    Article  Google Scholar 

  19. Zhang Z, Dong J, Zhao C, Li Q. Trends of healthy life expectancy of the elderly in China in 1994–2015: revisiting from the perspective of morbidity transition. Front Public Health. 2021;9: 774205.

    Article  Google Scholar 

  20. Deng WC, Bai DH, Li ZJ, He Y, Deng Y, Zhu YH, et al. Management strategy and technology of medical assistance to advanced schistosomiasis patients in Hunan Province. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2016;28(5):594–5 (in Chinese).

    Google Scholar 

  21. Zhang LJ, Li SZ, Wen LY, Lin DD, Abe EM, Zhu R, et al. The establishment and function of schistosomiasis surveillance system towards elimination in The People’s Republic of China. Adv Parasitol. 2016;92:117–41.

    Article  Google Scholar 

  22. Li GP, Yu XL, Wu X, Zhao ZY, Xia M, Deng Y, et al. Endemic situation of schistosomiasis in national surveillance sites of Hunan Province from 2015 to 2019. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2020;32(3):242–7 (in Chinese).

    CAS  Google Scholar 

  23. Preston S, Heuveline P, Demography GM. Measuring and modeling population processes. Oxford: Blackwell Publishers; 2001. p. 320.

    Google Scholar 

  24. Arriaga EE. Measuring and explaining the change in life expectancies. Demography. 1984;21(1):83–96.

    Article  CAS  Google Scholar 

  25. Pollard JH. On the decomposition of changes in expectation of life and differentials in life expectancy. Demography. 1988;25(2):265–76.

    Article  CAS  Google Scholar 

  26. Andreev E, Shkolnikov VM, Begun AZ. Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity progression ratios and total fertility rates. Demogr Res. 2002;7:499–522.

    Article  Google Scholar 

  27. Jung-Choi K, Khang YH, Cho HJ, Yun SC. Decomposition of educational differences in life expectancy by age and causes of death among South Korean adults. BMC Public Health. 2014;14:560.

    Article  Google Scholar 

  28. Sullivan DF. A single index of mortality and morbidity. HSMHA Health Rep. 1971;86(4):347–54.

    Article  CAS  Google Scholar 

  29. Sole-Auro A, Martin U, Rodriguez AD. Educational inequalities in life and healthy life expectancies among the 50-plus in Spain. Int J Env Res Pub He. 2020;17(10):3558.

    Article  Google Scholar 

  30. Noh E, Kang HY, Bahk J, Kim I, Khang YH. Cancer-free life expectancy in small administrative areas in Korea and its associations with regional health insurance premiums. J Korean Med Sci. 2021;36(42): e269.

    Article  Google Scholar 

  31. Nielsen CR, Ahrenfeldt LJ, Jeune B, Christensen K, Lindahl-Jacobsen R. Healthy life expectancy by frailty state in Europe from 2004 to 2015: findings from SHARE. Eur J Public Health. 2021;31(3):554–60.

    Article  Google Scholar 

  32. Jia TW, Utzinger J, Deng Y, Yang K, Li YY, Zhu JH, et al. Quantifying quality of life and disability of patients with advanced schistosomiasis japonica. PLoS Negl Trop Dis. 2011;5(2): e966.

    Article  Google Scholar 

  33. Yang F, Xu J, Lu S, Cao CL, Li SZ, Zhang LJ. Analysis on epidemiological characteristics of current advanced schistosomiasis cases in China based on the epidemiological dynamic data collection platform (EDDC). Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2021;33(3):234–9 (in Chinese).

    CAS  Google Scholar 

  34. Li GF, Teng Z, Tian JG, Yu X, Yu XQ, Sun XD. Quality of life and its influencing factors of advanced schistosomiasis patients in Qingpu District, Shanghai. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2014;26(3):303–7 (in Chinese).

    Google Scholar 

  35. Nie YX. Depression prevalence and quality of life of patients with advanced schistosomiasis. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2011;23(5):579–81 (in Chinese).

    Google Scholar 

  36. Le Y, Ren J, Shen J, Li T, Zhang CF. The changing gender differences in life expectancy in Chinese cities 2005–2010. PLoS ONE. 2015;10(4): e0123320.

    Article  Google Scholar 

  37. Chen H, Qian Y, Dong YQ, Yang ZJ, Guo LL, Liu J, et al. Analysis of gender differences in life expectancy of Chinese residents in 1990 and 2017. Chinese J Health Statis. 2020;37(06):883–7 (in Chinese).

    Google Scholar 

  38. Borah G. Gender gap in life expectancy in India and role of age groups: a comparison between before and after male–female life expectancy at birth crossover. PLoS ONE. 2021;16(12): e0260657.

    Article  CAS  Google Scholar 

  39. Pan XF, Li Y, Franco OH, Yuan JM, Pan A, Koh WP. Impact of combined lifestyle factors on all-cause and cause-specific mortality and life expectancy in Chinese: The Singapore Chinese Health Study. J Gerontol A Biol Sci Med Sci. 2020;75(11):2193–9.

    Article  Google Scholar 

  40. Sun Q, Yu D, Fan J, Yu C, Guo Y, Pei P, et al. Healthy lifestyle and life expectancy at age 30 years in the Chinese population: an observational study. Lancet Public Health. 2022;7(12):e994–1004.

    Article  Google Scholar 

  41. Lackner C, Tiniakos D. Fibrosis and alcohol-related liver disease. J Hepatol. 2019;70(2):294–304.

    Article  Google Scholar 

  42. Zein CO, Unalp A, Colvin R, Liu YC, McCullough AJ. Nonalcoholic steatohepatitis clinical research N. smoking and severity of hepatic fibrosis in nonalcoholic fatty liver disease. J Hepatol. 2011;54(4):753–9.

    Article  CAS  Google Scholar 

  43. Liu Y, Yuan HC, Lin DD, Liu YM, Hu F, Zhao GM, et al. Studies on risk factors for liver fibrosis of schistosomiasis japonica. Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi. 2000;18(1):18–20 (in Chinese).

    CAS  Google Scholar 

Download references


We sincerely appreciate the work and support of the staff from Hunan Institute for Schistosomiasis Control and Xiangyue Hospital Affiliated to Hunan Institute of Schistosomiasis Diseases, National Clinical Center for Schistosomiasis Treatment, China.


This study was supported by the Key Research and Development Plan of Hunan Province (Grant Numbers: 2021SK2032). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Author information

Authors and Affiliations



HLJ and JZ are joint first authors, who contributed equally to this work. YBZ is the project leader. YBZ, QWJ and HLJ contributed to the conceptualization and study design. HLJ, MX, GPL, JD, FM, ZZW, YX, YXT, and JFY contributed to the acquisition, analysis, and interpretation of data. HLJ was responsible for the statistical analysis and drafted the first manuscript. JZ, YC and YBZ made critical revision of the manuscript for important intellectual content. LQY and YC provided the material or technical support. JZ and YBZ obtained the funding for this study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yibiao Zhou.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethical Review Committee of the School of Public Health, Fudan University, China. All patients gave oral or written consent for data collection and analysis when they registered in the medical assistance program, and the analysis was fully anonymized.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Supplementary Information

Additional file 1

: Life expectancies of patients with advanced schistosomiasis and general population.

Additional file 2

: Decomposition of the age-specific mortality contribution to the gap in life expectancy between advanced schistosomiasis patients and general population.

Additional file 3

: Decomposition of the age-specific mortality contribution to the gender gap in life expectancy of advanced schistosomiasis and general population groups.

Additional file 4:

Age-specific contributions to the changes in life expectancy decomposed by Pollard’s decomposition method.

Additional file 5:

Healthy life expectancy and its gender gap among patients with advanced schistosomiasis.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, H., Zhou, J., Xia, M. et al. Life expectancy and healthy life expectancy of patients with advanced schistosomiasis in Hunan Province, China. Infect Dis Poverty 12, 4 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: