Is Co-Occurrence of Frailty and Multimorbidity Associated with Increas

Is Co-Prevalence of Frailty and Multimorbidity Related to Increas


China is without doubt one of the world’s most quickly ageing nations, with extra folks aged 65 and over than in another nation. In 2019, the Chinese language inhabitants constituted 18% of the world’s inhabitants, with 164.5 million residents aged 65 and above, and 26 million aged 80 or above.1,2 This may proceed to exacerbate the burden borne by the administration of persistent non-communicable ailments, bodily frailty, neurodegenerative ailments, cardiovascular ailments and so forth.3 This grim actuality might improve the chance of households’ catastrophic well being expenditure (CHE). CHE is a crucial index for measuring well being fairness, and lowering its threat in households is the unique intention of medical system designs in varied nations. CHE is vital to proactively addressing inhabitants ageing, selling well being fairness, and making extra focused coverage suggestions.

Frailty and multimorbidity are two threat elements for CHE among the many older populations. Frailty describes a state of general decline in bodily, psychological, or cognitive features between unhealthy and non-serious impairment. Frailty is a predictor of mortality, falls, worsening incapacity, ailments (dementia, cardiovascular occasions, and so forth.), and is considerably related to a decreased high quality of life.4,5 In accordance with the influence of frailty on clinically opposed outcomes, it’s simple to foretell that frailty is related to elevated healthcare prices in older populations.6,7 Some earlier cross-sectional research have discovered that frailty is positively related to elevated healthcare use, and might predict subsequent excessive healthcare prices.8–10 Jin et al examined the affiliation between frailty and healthcare expenditure amongst Chinese language older adults, and located that frailty was related to increased odds of incurring outpatient, inpatient, and self-treatment expenditure.11 Fan et al discovered that prefrail or frail adults have been related to increased odds for CHE by means of a potential cohort evaluation12 in one of many first research to discover the affiliation between frailty and CHE in China. Nonetheless, the examine interval was comparatively quick (2011–2013). The ageing state of affairs, illness spectrum, and socioeconomic standing of older adults have modified dramatically through the previous years.

With an ageing inhabitants and excessive ranges of threat elements for non-communicable ailments, the prevalence of multimorbidity in China has elevated quickly. In accordance with Hu’s systematic evaluate, the prevalence of multimorbidity in older adults (60+) ranged from 6.4% to 76.5% in China.13 A latest examine utilizing a nationally consultant pattern of older Chinese language folks additionally introduced a 42.2% prevalence of multimorbidity. Multimorbidity is related to a excessive financial burden for older populations (each themselves and their households). Important constructive relationships between multimorbidity and healthcare use, whole and out-of-pocket (OOP) healthcare prices have been present in a number of earlier research, a lot of which discovered that use or prices considerably elevated with every extra situation.14–16 An epidemiological examine demonstrated that older adults with multimorbidity skilled the next likelihood of incurring CHE than these with out it.17 In Zhao’s examine, which was the primary examine from China that used panel survey information, bodily multimorbidity was discovered to be related to a considerably elevated probability of CHE, which persevered even among the many increased socioeconomic teams and throughout all medical health insurance programmes.18 Fu et al additionally discovered that multimorbidity impacts about two-thirds of Chinese language sufferers with diabetes and might result in CHE for his or her households throughout all medical health insurance varieties regardless of socioeconomic standing in China.19

Primarily based on latest research, each frailty and multimorbidity are more and more prevalent together with the expansion of an ageing inhabitants. The eye obtained by each circumstances is derived from their sturdy affiliation with incapacity, hospitalisation, financial burden, and mortality.20 Frailty and multimorbidity signify two totally different medical circumstances. In accordance with Vetrano’s evaluate, the prevalence of multimorbidity in frail people and frailty in multimorbid people was 72% and 16%, respectively. This recommended that almost all frail people are additionally multimorbid, however fewer multimorbid ones additionally current frailty, though the causal affiliation between the 2 isn’t conclusive.21 Some longitudinal research recommend a bidirectional affiliation between multimorbidity and frailty.22–24

To this point, it’s unclear whether or not and the way co-occurrence of frailty and multimorbidity impacts CHE amongst middle-aged and older adults, particularly in China. Some research have assessed the influence one of many points on CHE, with one other concern adjusted as a confounding or subgroup evaluation. For instance, in Fan et al’s examine, frailty was related to elevated threat of CHE after multimorbidity and plenty of different covariates have been managed.25 Jing et al investigated the impact of co-occurrence of frailty on CHE amongst single empty-nest older adults with multimorbidity in China, and demonstrated that there’s a constructive impact of co-occurrence of frailty on CHE amongst them, and that this impact varies by financial standing.26

The coexistence of multimorbidity and frailty was discovered to extra probably improve the chance of bodily limitations, mortality, and different opposed well being outcomes in older adults than multimorbidity or frailty standing individually.27,28 However, longitudinal assessments are scarce, and investigation of impartial and mixed results of frailty and multimorbidity on CHE are urgently required. Due to this fact, by means of cohort evaluation based mostly on nationally consultant information, this examine aimed to guage impartial and co-occurring results of frailty and multimorbidity on CHE. We proposed two hypotheses: (1) each frailty and multimorbidity can independently predict CHE; (2) co-occurrence of frailty and multimorbidity will improve the chance of CHE, in contrast with those that endure from just one situation.

Supplies and Strategies


Knowledge for this examine have been obtained from the China Well being and Retirement Longitudinal Examine (CHARLS), carried out in 2011, 2013, 2015 and 2018. CHARLS is a consultant database for geriatrics analysis in China, with a top quality of micro-level database on middle-aged and older adults. The sampling particulars and variables have been described minutely in earlier research.29 We included information from members who weren’t misplaced to follow-up over the 4 waves and aged 45 years and older in wave 2011. We excluded members who had lacking values of dependent or impartial variables. Then members not affected by CHE at baseline have been thought of for the evaluation.


Publicity – Frailty and Multimorbidity

Frailty standing was measured by the Rookwood’s Cumulative Deficit Frailty Index (FI). The deficits used for calculating FI have been chosen in response to the next inclusions: (1) a minimal of 30 whole deficits; (2) related to opposed well being outcomes; (3) improve in prevalence with age not less than into the tenth decade; (4) prevalence of not less than 1% within the inhabitants; (5) doesn’t saturate.30 A complete of 34 deficits have been chosen to calculate FI, with binary variables coded as 0 or 1 and a few ordered categorical variables coded as 0, 0.5, and 1 (particulars in Supplementary Desk S1).31 FI was calculated by summing the variety of deficits reported by the members and dividing it by the overall variety of answered doable deficits. An FI ranged from 0 to 1 was then generated, with increased FI indicating extra critical standing of frailty. Individuals have been labeled as not frail (FI <0.25), or frail (FI ≥0.25).30 Moreover, members with lacking objects of frailty-related deficits exceeding seven (20% out of 34 objects) have been excluded from our evaluation.

Multimorbidity is outlined because the presence of two or extra bodily persistent non-communicable ailments.32 We used 11 self-reported recognized non-communicable persistent ailments to measure multimorbidity (hypertension, diabetes, dyslipidaemia, coronary heart illness, stroke, most cancers, persistent lung illness, digestive illness, liver illness, kidney illness, and arthritis). We enumerated the variety of non-communicable ailments for every participant to establish these with multimorbidity.

Consequence – Catastrophic Well being Expenditure (CHE)

CHE on the family stage was calculated by integrating people’ and their spouses’ OOP. We outlined a family as incurring CHE when OOP spending on well being equalled or exceeded 40% of a family’s capability to pay, outlined as the overall consumption expenditure of the family minus the food-based family spending.18,33 This expenditure stage was the denominator and the numerator was the sum of members’ and their spouses’ OOP spending for outpatient and inpatient care up to now 12 months. We outlined a binary variable, which indicated whether or not the participant’s family had CHE or not.


Covariates on this examine included members’ demographic traits (age, gender, marital standing), socioeconomic background (hukou standing, stage of training, rural/city residence, public medical health insurance protection, family per capita consumption and present work standing, and well being behaviours (alcohol consumption, smoking standing). Hukou standing is obtained from the registration system based mostly on fatherland and lineage, and is a particular identifier in China. Hukou standing differentiates alternative constructions for Chinese language inhabitants by giving precedence to city hukou holders in lots of spheres, together with training, job alternatives, housing, medical health insurance, and different social companies and provisions.34 The grouping particulars for the covariates are introduced in Desk 1.

Desk 1 Baseline Traits of the Pattern

Statistical Evaluation

In description evaluation of the members’ baseline traits inside totally different publicity teams (“None”, “Single persistent illness”, “Multimorbidity”, “Frailty”, “Frailty and single persistent illness”, “Frailty and multimorbidity”), “quantity” (share) and “imply ± normal deviation” (SD) have been used for describing binary or categorical variables and steady variables, respectively. The statistical variations have been examined by ordinal chi-square exams for the explicit variables and Kruskal–Wallis one-way evaluation for the numerical variables which have been abnormally distributed.

Cox proportional hazard fashions have been employed to calculate relative threat of CHE with survey waves because the timescale. Individuals labeled as CHE at baseline have been excluded from the evaluation, and those that remained with out CHE have been handled as censored information.

When analysing impartial results, we handled one situation (frailty or multimorbidity) as publicity, with one other one as time-varying confounder, which is related to each the publicity and end result. Then, we carried out marginal structural mannequin (MSM) through inverse likelihood of remedy weighting (IPTW) to mitigate time-varying confounders and overcome immortal time bias. The stabilised weights for MSM have been calculated based mostly on IPTW by multiplying the remedy and censoring weights, which have been then pooled into the marginal structural mannequin to calculate the associations between frailty or multimorbidity and CHE.

When analysing the co-occurrence impact, we handled frailty and multimorbidity as time-varying exposures to keep away from immortal time bias. The evaluation technique is introduced in Supplementary Desk S2. Hazard ratios (HRs) with 95% confidence intervals (CIs) have been calculated by means of MSM and time-varying Cox regression, respectively.

Sampling and non-response weight weren’t thought of on this examine as a result of many research that employed CHARLS information recommended that outcomes of regression analyses with and with out weighting have been comparable.35 P values have been two-tailed, the place statistical significance was set at an alpha stage of 0.05. Knowledge have been analysed utilizing R model 3.6.3 (R Basis for Statistical Computing, Vienna, Austria).

Sensitivity Evaluation

To validate the outcomes, we carried out two sensitivity analyses. First, contemplating the heavy financial burden introduced by most cancers, we excluded members affected by most cancers and repeated the above evaluation. Second, a number of imputations have been carried out to impute the lacking covariate values based mostly on 5 replications and a chained equation method, to keep away from statistical take a look at efficiency discount and bias on account of direct exclusion of lacking values. Moreover, to guage the potential impact of unmeasured confounding within the affiliation between co-occurrence (of multimorbidity and frailty) and CHE, E-value evaluation was carried out utilizing the methodology developed by VanderWeele and Ding.36,37 E-value is another method to sensitivity analyses for unmeasured confounding in our examine that avoids making assumptions that, in flip, require subjective project of inputs for some formulation.

Heterogeneity Evaluation

There are important variances between rural and concrete space in China when it comes to financial stage, proportion of older folks and ageing course of, household constructions, and healthcare assets. Due to this fact, we additional explored the variance of the influence of frailty and multimorbidity on CHE for rural and concrete members individually.


Descriptive Evaluation

We recognized 6117 members with out lacking outcomes and publicity variables, and who had accomplished all of the 4 waves of surveys. The prevalence of CHE in members with totally different co-occurrence of frailty and multimorbidity standing are proven in Desk 2. It exhibits that the prevalence of CHE in members with co-occurrence of frailty and multimorbidity was increased than all the opposite teams, which ranged from 32.7% to 40.95%; members with none circumstances had the bottom prevalence of CHE.

Desk 2 Prevalence of CHE Throughout 4 Survey Waves (N=6117)

A complete of 4838 members with out CHE at baseline have been included within the following analytical pattern. Desk 1 presents the baseline traits of the pattern in response to co-occurrence of frailty and multimorbidity standing. The prevalence of multimorbidity with out frailty and frailty with out persistent ailments was 18.56% and 6.84%, respectively. The prevalence of frailty co-occurring with multimorbidity was 15.44%, which was increased than that of frailty co-occurring with a single persistent illness. The age of members with out frailty and multimorbidity was decrease than the opposite teams. Females have been extra prone to endure from the co-occurrence of frailty and multimorbidity. All of the variances between totally different publicity teams have been statistically important.

Impartial Impact of Multimorbidity and Frailty on CHE

After adjusting for time-varying publicity (multimorbidity standing) and confounders (frailty standing), each affected by a single persistent illness (adjusted HR, 1.26; 95% CI, 1.13–1.40; P < 0.001) and multimorbidity (adjusted HR, 1.80; 95% CI, 1.63–1.99; P < 0.001) have been related to the next threat of CHE. After adjusting for multimorbidity standing as a time-varying confounder, frailty (adjusted HR, 1.32; 95% CI, 1.21–1.45; P < 0.001) was additionally related to the next threat of CHE. Particulars are introduced in Desk 3.

Desk 3 Impartial Affect of Multimorbidity and Frailty on CHE Primarily based on Marginal Structural Mannequin

Impact of Co-Prevalence of Multimorbidity and Frailty on CHE

We labeled the members into six teams in response to the co-occurrence of frailty and persistent ailments. Primarily based on time-varying Cox regression (Desk 4), we discovered that in comparison with these struggling neither from frailty nor persistent ailments, single persistent illness (adjusted HR, 1.23; 95% CI, 1.08–1.39; P = 0.001), multimorbidity (adjusted HR, 1.60; 95% CI, 1.42–1.81; P < 0.001), co-occurrence of frailty and single persistent illness (adjusted HR, 1.42; 95% CI, 1.21–1.67; P < 0.001), and co-occurrence of frailty and multimorbidity (adjusted HR, 2.11; 95% CI, 1.86–2.38; P < 0.001) have been considerably related to elevated CHE threat, whereas solely affected by frailty didn't improve CHE threat.

Desk 4 Affect of Mixed Standing of Multimorbidity and Frailty on CHE Primarily based on Time-Various Cox Regression Evaluation

In comparison with members solely affected by frailty however not any persistent illness, each frailty co-occurring with a single persistent illness (adjusted HR, 1.28; 95% CI, 1.03–1.60; P = 0.027) and with multimorbidity (adjusted HR, 1.91; 95% CI, 1.56–2.32; P < 0.001) have been related to elevated CHE threat. Equally, frailty co-occurring with multimorbidity additionally elevated CHE threat in contrast with these with multimorbidity however not frailty (adjusted HR, 1.32; 95% CI, 1.17–1.48; P < 0.001).

Sensitivity Evaluation

We moreover analysed members not affected by most cancers and information with a number of imputation as two sensitivity analyses (introduced in Desk 5). The outcomes have been per our fundamental evaluation, which validated our conclusions. E-value evaluation was additional carried out to evaluate the robustness of the influence of co-occurrence of frailty and multimorbidity on CHE within the MSM and time-varying Cox regression fashions. The E-values have been better than the estimated confounders for CHE (introduced in Supplementary Desk S3); subsequently, it’s unlikely {that a} potential unmeasured confounder might have a significantly better impact on CHE than these identified threat elements.

Desk 5 Sensitivity Evaluation

Heterogeneity Between Rural and City Areas

We in contrast the impact of co-occurrence of frailty and multimorbidity on CHE between city and rural areas (Desk 6). Notably, in contrast with members with out frailty and persistent ailments, frailty co-occurring with multimorbidity was considerably related to elevated CHE threat in each rural and concrete areas; nonetheless, the influence of single persistent ailments and frailty co-occurring with single persistent ailments was solely important in rural areas. Moreover, frailty co-occurring with a single persistent illness or multimorbidity was considerably related to elevated CHE threat solely in rural areas in contrast with these with frailty however with out persistent ailments; it was additionally solely important for the impact of multimorbidity’s co-occurrence with frailty in rural areas in comparison with these with multimorbidity with out frailty.

Desk 6 Heterogeneity Between Rural and City Areas


To the very best of our information, that is the primary examine to make use of cohort evaluation to guage the influence of co-occurrence of frailty and multimorbidity on CHE in China based mostly on a nationally consultant database amongst middle-aged and older adults. This examine proved that each frailty and multimorbidity can independently predict elevated CHE threat. Extra importantly, each frailty co-occurring with single or a number of persistent ailments and multimorbidity co-occurring with frailty will increase CHE threat in contrast with frailty or multimorbidity’s particular person standing; however these results are solely important in rural areas. Nonetheless, co-occurrence of frailty and multimorbidity will increase CHE threat in each rural and concrete areas in contrast with essentially the most sturdy members (with out frailty and persistent ailments).

Frailty and multimorbidity have been proven to be related to older folks’s threat of incapacity, hospitalisation, and mortality, in addition to escalating health-related prices.38,39 The coexistence of multimorbidity and frailty was discovered to be extra prone to improve the chance of opposed well being outcomes in older adults than multimorbidity or frailty alone;28 subsequently, each frailty co-occurring with persistent ailments and morbidity co-occurring with frailty could result in nice financial burden and improve CHE threat. Many older adults affected by persistent ailments or multimorbidity should enrol in long-term remedy and common examination. Moreover, persistent ailments typically have problems, or acute episodes. Multimorbidity could also be regarded as the buildup of organic abnormalities deemed as clinically related and that outline overt illness diagnoses.7,40 These conditions launch extra demand for medical companies, and convey nice financial burdens for his or her households. Due to this fact, the elevated threat of CHE was noticed in all subgroups with a single persistent illness or multimorbidity in comparison with the sturdy group. Furthermore, signs associated to persistent ailments might need a related position within the onset or worsening of frailty standing,40,41 which might additionally clarify why CHE threat is increased in frailty co-occurring with a single persistent illness or multimorbidity than in frailty alone. For these with multimorbidity, co-occurrence of frailty could speed up illness development, have an effect on illness prognosis, or trigger acute onset of persistent ailments.42–44 Due to this fact, multimorbidity co-occurring with frailty additionally will increase CHE threat.

Notably, frailty was noticed to independently predict CHE threat after multimorbidity was managed; nonetheless, frailty alone isn’t considerably related to elevated CHE threat in contrast with these with out persistent illness and frailty. First, it could be brought on by totally different reference teams and evaluation fashions. Second, frailty stems from the progressive accumulation of organic deficits that pile up with time as an expression of ageing. It may be thought of as a world and transversal measure for capturing each medical and subclinical impairments.7,41 Which means, frailty doesn’t imply illness, and the mechanism between frailty, illness, healthcare utilisation, and medical financial burden is advanced, and requires additional potential evaluation sooner or later. Noticeably, frailty is characterised as systemic, dynamic, and reversible.4,12 Thus, sure intervention measures might be taken to forestall early incidence of frailty, management its progress, or promote restoration to probably result in price financial savings. This may present coverage makers with clear proof of the requirement for sure interventions to forestall and management frailty. This additionally signifies that the coexistence of frailty and persistent illness is extra dangerous for older adults.

The heterogeneity of influence of co-occurrence of frailty and multimorbidity on CHE was noticed on this examine, with rural members extra prone to expertise CHE. This can be as a result of rural members, with decrease capability to pay than city members, signify a big pattern of decrease socioeconomic ranges, and the financial dangers of frailty co-occurring with persistent ailments or multimorbidity co-occurring with frailty are too nice for rural households with comparable medical prices. Primarily based on earlier research, we discovered that there are variations between city and rural areas when it comes to fundamental well being standing,45 and assets that may be accessed for medical companies,46 which might trigger variations within the influence of co-occurrence of frailty and multimorbidity between city and rural areas. It’s important to steadiness the city and rural economies, promote rural revitalisation, and set up a nationwide social safety community to keep up effectivity and fairness.47

Coverage Implications

In accordance with the worldwide Technique for Wholesome Growing old, the core goal of wholesome ageing is to enhance the standard of lifetime of older adults, shorten the survival interval with illness, and lengthen wholesome life expectancy.48 Each frailty and multimorbidity have been proved to be related to worse high quality of life,37,49 and as proven on this examine, their coexistence causes catastrophic financial burden for households. Thus, prevention of frailty and multimorbidity, intensive administration of older adults affected by frailty and multimorbidity, and coverage intervention must be enhanced to advertise wholesome ageing. China is experiencing an ageing inhabitants which might enlarge the frailty and multimorbidity epidemic and would require important changes to the countrywide administration technique. First, China has established a multi-tiered and broadly coated medical safety system, and has made important achievements in lowering the financial burden of illness, releasing the demand for medical companies and enhancing well being.50 Nonetheless, sooner or later, preferential coverage in direction of the older inhabitants with frailty and multimorbidity, and promotion of equity must be additional strengthened. Second, China has invested lots of assets to combine fundamental public well being companies into major healthcare (akin to strengthening the administration of hypertension and diabetes populations) and finishing up many well being administration tasks for the aged (akin to routine bodily examination).51 Sooner or later, steady consideration to multimorbid populations and correct screening of frailty should be strengthened. Lastly, China’s “Lively Response to Inhabitants Growing old Technique” and “Wholesome China Technique” emphasise co-construction and sharing, and energetic initiative of the older inhabitants.52 Mixed with earlier efficient interventions on multimorbidity and frailty within the older inhabitants, we must always encourage older adults to reinforce self-management of persistent ailments. Moreover, a great social environment ought to strengthen publicity and training for the older inhabitants in city and rural communities.


This examine has a number of limitations. First, it acknowledges the existence of recall bias, as a result of data was self-reported. For instance, indexes related to bodily perform and psychological well being have been the principle constituent parts of frailty. Nonetheless, a self-rated ranges could differ from that of actuality. Second, members who died earlier than 2018 had not been included our evaluation. On condition that frailty and multimorbidity are related to mortality, excluding them could have launched a survival bias. Third, oblique medical financial burden was not assessed on this examine. Fourth, the causal impact and bidirectional affiliation between frailty and multimorbidity, and which impacts CHE extra couldn’t be assessed on this examine. Lastly, the FI covers quite a few indicators. Through the interview course of, many indicators have been noticed lacking among the many members, which led to pattern loss.


Co-occurrence of frailty and multimorbidity is related to a excessive threat of CHE. Stopping, suspending, or lowering frailty, and enhancing normal administration of persistent ailments are important in lowering healthcare prices and stopping households from poverty. Extra environment friendly interventions for frailty and multimorbidity are urgently required.

Knowledge Sharing Assertion

All the unique information could possibly be obtained from the official web site of CHARLS ( The recognized evaluation dataset is accessible to different researchers and others upon request by emailing the corresponding writer ([email protected]).

Ethics Approval and Consent to Take part

The Biomedical Ethics Evaluate Committee of Peking College accredited CHARLS, and all members have been required to supply written knowledgeable consent. The moral approval quantity was IRB00001052-11015. As the information have been accessible to the general public, evaluate and approval was not required for this analysis by the authors’ institutional evaluate board or ethics committee.

Writer Contributions

All authors made a major contribution to the work reported, whether or not that’s within the conception, examine design, execution, acquisition of information, evaluation and interpretation, or in all these areas; took half in drafting, revising or critically reviewing the article; gave closing approval of the model to be revealed; have agreed on the journal to which the article has been submitted; and conform to be accountable for all points of the work.


This work was supported by the Nationwide Pure Science Basis of China (71734003; 72104073).


The authors report no conflicts of curiosity on this work.


1. Lancet T. Ageing in China: a ticking bomb. Lancet. 2016;388(10056):2058. doi:10.1016/S0140-6736(16)32058-X

2. Fang EF, Xie C, Schenkel JA, et al. A analysis agenda for ageing in China within the twenty first century (2nd version): specializing in fundamental and translational analysis, long-term care, coverage and social networks. Ageing Res Rev. 2020;64:101174. doi:10.1016/j.arr.2020.101174

3. Prince MJ, Wu F, Guo Y, et al. The burden of illness in older folks and implications for well being coverage and follow. Lancet. 2015;385(9967):549–562. doi:10.1016/S0140-6736(14)61347-7

4. Dent E, Martin FC, Bergman H, et al. Administration of frailty: alternatives, challenges, and future instructions. Lancet. 2019;394(10206):1376–1386. doi:10.1016/S0140-6736(19)31785-4

5. Fan J, Yu C, Guo Y, et al. Frailty index and all-cause and cause-specific mortality in Chinese language adults: a potential cohort examine. Lancet Public Well being. 2020;5(12):e650–e660. doi:10.1016/S2468-2667(20)30113-4

6. Hoogendijk EO, Afilalo J, Ensrud KE, et al. Frailty: implications for medical follow and public well being. Lancet. 2019;394(10206):1365–1375. doi:10.1016/S0140-6736(19)31786-6

7. Clegg A, Younger J, Iliffe S, Rikkert MO, Rockwood Okay. Frailty in aged folks. Lancet. 2013;381(9868):752–762. doi:10.1016/S0140-6736(12)62167-9

8. Bock JO, Konig HH, Brenner H, et al. Associations of frailty with well being care costs–results of the ESTHER cohort examine. Bmc Well being Serv Res. 2016;16:128. doi:10.1186/s12913-016-1360-3

9. Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the ideas of incapacity, frailty, and comorbidity: implications for improved concentrating on and care. J Gerontol A Biol Sci Med Sci. 2004;59(3):255–263. doi:10.1093/gerona/59.3.M255

10. Butler A, Gallagher D, Gillespie P, et al. Frailty: a expensive phenomenon in caring for elders with cognitive impairment. Int J Geriatr Psychiatry. 2016;31(2):161–168. doi:10.1002/gps.4306

11. Jin HY, Liu X, Xue QL, Chen S, Wu C. The affiliation between frailty and healthcare expenditure amongst Chinese language older adults. J Am Med Dir Assoc. 2020;21(6):780–785. doi:10.1016/j.jamda.2020.03.008

12. Fan L, Hou XY, Liu Y, et al. Catastrophic well being expenditure related to frailty in community-dwelling Chinese language older adults: a potential cohort evaluation. Entrance Public Well being. 2021;9:718910. doi:10.3389/fpubh.2021.718910

13. Hu X, Huang J, Lv Y, Li G, Peng X. Standing of prevalence examine on multimorbidity of persistent illness in China: systematic evaluate. Geriatr Gerontol Int. 2015;15(1):1–10. doi:10.1111/ggi.12340

14. Glynn LG, Valderas JM, Healy P, et al. The prevalence of multimorbidity in major care and its impact on well being care utilization and price. Fam Pract. 2011;28(5):516–523. doi:10.1093/fampra/cmr013

15. Lehnert T, Heider D, Leicht H, et al. Evaluate: well being care utilization and prices of aged individuals with a number of persistent circumstances. Med Care Res Rev. 2011;68(4):387–420. doi:10.1177/1077558711399580

16. Lee JT, Hamid F, Pati S, Atun R, Millett C. Affect of noncommunicable illness multimorbidity on healthcare utilisation and out-of-pocket expenditures in middle-income nations: cross sectional evaluation. PLoS One. 2015;10(7):e127199.

17. Wang Z, Li X, Chen M. Catastrophic well being expenditures and its inequality in aged households with persistent illness sufferers in China. Int J Fairness Well being. 2015;14(1):8. doi:10.1186/s12939-015-0134-6

18. Zhao Y, Atun R, Oldenburg B, et al. Bodily multimorbidity, well being service use, and catastrophic well being expenditure by socioeconomic teams in China: an evaluation of population-based panel information. Lancet Glob Well being. 2020;8(6):e840–e849. doi:10.1016/S2214-109X(20)30127-3

19. Fu Y, Chen M, Si L. Multimorbidity and catastrophic well being expenditure amongst sufferers with diabetes in China: a nationwide population-based examine. BMJ Glob Well being. 2022;7(2):e007714. doi:10.1136/bmjgh-2021-007714

20. Villacampa-Fernandez P, Navarro-Pardo E, Tarin JJ, Cano A. Frailty and multimorbidity: two associated but totally different ideas. Maturitas. 2017;95:31–35. doi:10.1016/j.maturitas.2016.10.008

21. Vetrano DL, Palmer Okay, Marengoni A, et al. Frailty and multimorbidity: a scientific evaluate and meta-analysis. J Gerontol A Biol Sci Med Sci. 2019;74(5):659–666. doi:10.1093/gerona/gly110

22. Hajek A, Brettschneider C, Posselt T, et al. Predictors of frailty in previous age – outcomes of a longitudinal examine. J Nutr Well being Growing old. 2016;20(9):952–957. doi:10.1007/s12603-015-0634-5

23. Zheng Z, Guan S, Ding H, et al. Prevalence and incidence of frailty in community-dwelling older folks: Beijing longitudinal examine of getting older II. J Am Geriatr Soc. 2016;64(6):1281–1286. doi:10.1111/jgs.14135

24. Guaraldi G, Brothers TD, Zona S, et al. A frailty index predicts survival and incident multimorbidity impartial of markers of HIV illness severity. AIDS. 2015;29(13):1633–1641. doi:10.1097/QAD.0000000000000753

25. Hanlon P, Nicholl BI, Jani BD, et al. Frailty and pre-frailty in middle-aged and older adults and its affiliation with multimorbidity and mortality: a potential evaluation of 493 737 UK Biobank members. Lancet Public Well being. 2018;3(7):e323–e332. doi:10.1016/S2468-2667(18)30091-4

26. Jing Z, Li J, Fu PP, et al. Catastrophic well being expenditure amongst single empty-nest aged with multimorbidity in rural Shandong, China: the impact of co-occurrence of frailty. Int J Fairness Well being. 2021;20(1):23. doi:10.1186/s12939-020-01362-6

27. Woo J, Leung J, Fan L. Multi-morbidity, dependency, and frailty singly or together have totally different influence on well being outcomes. Age. 2014;36(2):923–931. doi:10.1007/s11357-013-9590-3

28. Aarts S, Patel KV, Garcia ME, et al. Co-presence of multimorbidity and incapacity with frailty: an examination of heterogeneity within the frail older inhabitants. J Frailty Growing old. 2015;4(3):131–138. doi:10.14283/jfa.2015.45

29. Zhao Y, Hu Y, Smith JP, Strauss J, Yang G. Cohort profile: the China Well being and Retirement Longitudinal Examine (CHARLS). Int J Epidemiol. 2014;43(1):61–68. doi:10.1093/ije/dys203

30. Rockwood Okay, Music X, MacKnight C, et al. A world medical measure of health and frailty in aged folks. CMAJ. 2005;173(5):489–495. doi:10.1503/cmaj.050051

31. Kojima G, Iliffe S, Walters Okay. Smoking as a predictor of frailty: a scientific evaluate. BMC Geriatr. 2015;15:131. doi:10.1186/s12877-015-0134-9

32. Barnett Okay, Mercer SW, Norbury M, et al. Epidemiology of multimorbidity and implications for well being care, analysis, and medical training: a cross-sectional examine. Lancet. 2012;380(9836):37–43. doi:10.1016/S0140-6736(12)60240-2

33. Si Y, Zhou Z, Su M, et al. Catastrophic healthcare expenditure and its inequality for households with hypertension: proof from the agricultural areas of Shaanxi Province in China. Int J Fairness Well being. 2017;16(1):27. doi:10.1186/s12939-016-0506-6

34. Music Q, Smith JP. Hukou system, mechanisms, and well being stratification throughout the life course in rural and concrete China. Well being Place. 2019;58:102150. doi:10.1016/j.healthplace.2019.102150

35. Yao SS, Cao GY, Han L, et al. Prevalence and patterns of multimorbidity in a nationally consultant pattern of older Chinese language: outcomes from the China well being and retirement longitudinal examine. J Gerontol A Biol Sci Med Sci. 2020;75(10):1974–1980. doi:10.1093/gerona/glz185

36. VanderWeele TJ, Ding P. Sensitivity evaluation in observational analysis: introducing the E-value. Ann Intern Med. 2017;167(4):268–274. doi:10.7326/M16-2607

37. Haneuse S, VanderWeele TJ, Arterburn D. Utilizing the E-value to evaluate the potential impact of unmeasured confounding in observational research. JAMA. 2019;321(6):602–603. doi:10.1001/jama.2018.21554

38. Vetrano DL, Rizzuto D, Calderon-Larranaga A, et al. Trajectories of useful decline in older adults with neuropsychiatric and cardiovascular multimorbidity: a Swedish cohort examine. PLoS Med. 2018;15(3):e1002503. doi:10.1371/journal.pmed.1002503

39. Marengoni A, Angleman S, Melis R, et al. Growing old with multimorbidity: a scientific evaluate of the literature. Ageing Res Rev. 2011;10(4):430–439. doi:10.1016/j.arr.2011.03.003

40. Fabbri E, Zoli M, Gonzalez-Freire M, et al. Growing old and multimorbidity: new duties, priorities, and frontiers for built-in gerontological and medical analysis. J Am Med Dir Assoc. 2015;16(8):640–647. doi:10.1016/j.jamda.2015.03.013

41. Morley JE, Vellas B, van Kan GA, et al. Frailty consensus: a name to motion. J Am Med Dir Assoc. 2013;14(6):392–397. doi:10.1016/j.jamda.2013.03.022

42. Onder G, Vetrano DL, Marengoni A, et al. Accounting for frailty when treating persistent ailments. Eur J Intern Med. 2018;56:49–52. doi:10.1016/j.ejim.2018.02.021

43. Shah S, Goldberg DS, Kaplan DE, et al. Affected person frailty is independently related to the chance of hospitalization for acute-on-chronic liver failure. Liver Transpl. 2021;27(1):16–26. doi:10.1002/lt.25896

44. Zazzara MB, Vetrano DL, Carfi A, Onder G. Frailty and persistent illness. Panminerva Med. 2019;61(4):486–492. doi:10.23736/S0031-0808.19.03731-5

45. Jiang J, Wang P. Well being standing in a transitional society: urban-rural disparities from a dynamic perspective in China. Popul Well being Metr. 2018;16(1):22. doi:10.1186/s12963-018-0179-z

46. Wang W, Zhang Y, Lin B, et al. The urban-rural disparity within the standing and threat elements of well being literacy: a cross-sectional survey in central China. Int J Environ Res Public Well being. 2020;17(11):1729.

47. Fu XZ, Solar QW, Solar CQ, Xu F, He JJ. City-rural variations in catastrophic well being expenditure amongst households with persistent non-communicable illness sufferers: proof from China household panel research. BMC Public Well being. 2021;21(1):874. doi:10.1186/s12889-021-10887-6

48. Rudnicka E, Napierala P, Podfigurna A, et al. The World Well being Group (WHO) method to wholesome ageing. Maturitas. 2020;139:6–11. doi:10.1016/j.maturitas.2020.05.018

49. Makovski TT, Schmitz S, Zeegers MP, Stranges S, van den Akker M. Multimorbidity and high quality of life: systematic literature evaluate and meta-analysis. Ageing Res Rev. 2019;53:100903. doi:10.1016/j.arr.2019.04.005

50. Tao W, Zeng Z, Dang H, et al. In the direction of common well being protection: classes from 10 years of healthcare reform in China. BMJ Glob Well being. 2020;5(3):e2086.

51. Wang L, Wang Z, Ma Q, Fang G, Yang J. The event and reform of public well being in China from 1949 to 2019. International Well being. 2019;15(1):45. doi:10.1186/s12992-019-0486-6

52. Tan X, Zhang Y, Shao H. Wholesome China 2030, a breakthrough for enhancing well being. Glob Well being Promot. 2019;26(4):96–99. doi:10.1177/1757975917743533

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