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Relationship of perceived environmental barriers and disability in community-dwelling elderly in Taiwan – a population-based study

Abstract

Background

To identify the relationship between perceived environmental barriers and disability in community-dwelling elderly.

Methods

Cross-sectional study in two community service centers in Tainan. We enrolled 200 community-dwelling residents, aged above 65 years, who had resided in the same community for at least 12 months. Basic activity of daily living (BADL) and instrumental activity of daily living (IADL) were assessed using the Hierarchy of Care Required (HCR). There were 59 participants in BADL disability and 109 in IADL disability. Perceived environmental barriers were assessed using the Craig Hospital Inventory of Environmental Factors (CHIEF). We used multinomial logistic regression to examine the relationship of perceived environmental barriers and disability.

Results

The presence of perceived environmental barriers was related to BADL disability (OR = 4.39, 95% CI = 1.01-19.11) and IADL disability (IADL with difficulty in 1–2 tasks: OR = 9.93, 95% CI = 3.22-30.56; IADL with difficulty in more than 2 tasks: OR = 8.40, 95% CI = 1.83-38.51). The presence of physically/structurally perceived environmental barriers was related to BADL disability (OR = 4.90, 95% CI = 1.01-23.86) and IADL disability (IADL with difficulty in 1–2 tasks: OR = 4.61, 95% CI = 1.27-16.76; IADL with difficulty in more than 2 tasks: OR = 17.05, 95% CI = 2.82-103.30).

Conclusions

Perceived environmental barriers are related to disability in community-dwelling elderly.

Peer Review reports

Background

According to official statistics, the total number of people identified with disabilities in Taiwan was 1,117,518 in 2012, which was about 4.8% of the total population [1]. The average disability population among the elderly people in Taiwan (65 years and above) from the year 2003 to 2012 was 365,321.2 [1]. The increased prevalence of disabilities was linked to decreased quality of life [2] and increased health care costs [3, 4].

It was pointed out by the sociologist Saad Nagi, “disability is the expression of a physical or a mental limitation in a social context” [5]. Several risk factors for the development of functional limitations have been identified, including lower extremity functional limitations, poor self-perceived health, low level of physical activity, depression, cognitive impairment, disease burden (co-morbidity), increased and decreased body mass index, low frequency of social contacts, smoking and vision impairment [6]. According to Lewin’s person-environment (PE) fit model, the degree to which elderly individuals can deal with disabilities and environmental challenges has been shown to determine how well they will function in their real-life settings [7, 8].

Influential work that conceptualized the role of both the individual home environment and individual performance was published by Lewin in his person-environment (PE) fit model [9]. The PE fit model is composed of two interactive components: the person component and the environment component. In this model, the person component is defined as a set of competencies, including biological health, cognitive function, and sensory and motor skills. The environment component is defined in terms of demands, which are expressed as environmental “press” (i.e. the strength with which the environment demands a response from the person) [10].

The initial model was developed to explain the interaction between individuals and their home environment [9] and then was expanded to the neighborhood environment [11]. In extending this concept to the public health realm, the ideal amount of “press” would be different in an individual’s home as compared to the neighborhood environment. This is also agreed with the International Classification of Functioning, Disability and Health (ICF) developed by the World Health Organization [12]. The ICF model addresses functioning at three levels: 1) the body (mental, physiologic, or anatomic structures or functions), 2) the person (performance or accomplishment of an activity), and 3) the society (participation in life situations).

In recent years, the ICF model has been applied in monitoring of functioning in elderly in several studies [13, 14]. According to the ICF model, the interaction between the individual and the environment can play a key role in determining the level of participation in the society [15]. The gathering and provision of holistic information related to environmental barriers for community-dwelling elderly can stimulate researchers and policy makers to enact changes that will reduce demands on the elderly with functional limitations and will also increase support for promoting community-level functioning in the elderly [13, 14].

In the case of the elderly, environmental barriers are related to disabilities [16], fall risk [17, 18], fall-related fractures [19], less commuting [20] and being homebound [21]. Many studies examining the relation between the environment and health have relied on secondary data sources to obtain objective characteristics of the environment through proxy measures, such as population density [22], land use diversity [22], block size [23], air pollution [24], urban–rural gap [25], or extremely seasonal temperatures [24]. These individual records, which were simple aggregates of individual or land use characteristics within areas, were often too large to meaningfully obtain the actual environments faced by the elderly when they walk outside their home and might in addition be ecologically inaccurate.

In this research, we examined the relationship between perceived environmental barriers and disability. We hypothesize perceived environmental barriers to be associated with disabilities related to basic activities of daily living (BADL) and also to instrumental activities of daily living (IADL).

Methods

A cross-sectional design utilizing the face-to-face administration of the study instruments and direct observation were used for this study. We enrolled cases from two community service centers in Tainan, Taiwan. Of the 213 local residents who regularly came to these two community service centers to have their blood pressure taken in 2012, 204 community-dwelling residents, aged above 65 years, who had resided in the same community for at least 12 months were selected to participate in this study. Exclusion criteria included being diagnosed as having dementia and low scores (below 8 points) on the Chinese version of Short Portable Mental State Questionnaire (SPMSQ) (a 10-item questionnaire with total score ranged from 0 to 10 and a total score of eight and above represented intact cognitive functioning) [26]. The study was administered by one well-trained physician from December 2012 to August 2013. All of the sampled subjects were invited to participate when they came to their community service centers. Of the 204 subjects, 202 agreed to participate in the study. Two subjects were excluded due to SPMSQ below 8 points. As a result, the final case number was 200. It took 30–50 minutes to complete one subject. Approval for this study was provided by the Institute Review Board of National Cheng-Kung University Hospital, College of Medicine, National Cheng Kung University (Approval No: B-ER-101-184). Prior to inclusion in the study, the participants were informed of the study content and given the opportunity to decline participation.

Perceived environmental barriers

Perceived environmental barriers were assessed by the Craig Hospital Inventory of Environmental Factors (CHIEF) [27]. The 25-item CHIEF is a tool commonly used to assess environmental barriers. We rated each item based on two scales. First, a 5-point frequency scale (0: never, 1: less than monthly, 2: monthly, 3: weekly, 4: daily) was used to indicate the frequency with which barriers were encountered. Secondly, a 2-point magnitude scale (1: a little problem, 2: a big problem) was used to indicate the extent of the problem a barrier typically presents. A frequency-magnitude product score (score range 0–8), calculated as the product of the frequency score and the magnitude score, indicated the overall impact of the barrier. The frequency-magnitude product score of different individual items were summed to create total CHIEF score and averaged to create mean of the subscale scores (Physical/Structural, Attitudes/Support, Services/Assistance, Policies, and Work/School). CHIEF has been used to investigate perceived environmental barriers in people with spinal cord injuries [28, 29], traumatic brain injuries [30], and stroke [31, 32].

After permission for use was obtained from the original authors of CHIEF, cross-cultural adaptation of the original questionnaire was performed according to recent guidelines [33]. First of all, the CHIEF was translated from English into Chinese by two bilingual persons. One of them had prior knowledge of the questionnaire. Both Chinese translations were compared with each other for inconsistencies. A consensus was reached by the synthesis of two translations after discussion. The CHIEF was then translated back into English by a Chinese-American with familiarity in both English and Chinese who had not seen the text previously. Consequently, a few changes were made. Next, a group meeting was held. The group meeting consisted of three individuals (a psychologist, an occupational therapist, and a physiatrist), who are competent in both Chinese and English. In the group meeting, we deleted six questions mentioning work and school because there are few people aged above 65 years old still in school or still working according to the official statistics [34] and regulations. We added four questions to compare with the original questions related to “community” in Chinese, and deleted one question about service in the “community”. Finally, two community-dwelling elderly individuals completed the CHIEF and provided feedback on the translated questionnaire. Minor changes to the questionnaire were then made to yield the pre-final Chinese version of CHIEF for community-dwelling elderly.

We enrolled 200 community-dwelling elderly for the measurement of construct validity. Demographic data are shown in Table 1. There were four questions with values of less than 0.3 in the corrected item-total correlation, indicating that these questions did not correlate well with the scale overall. After dropping these four questions, the value of Kaiser-Meyer-Olkin measure of sampling adequacy was 0.863. Cronbach’s Alpha was .896, and four factors could explain 67.5% of the variation in CHIEF. The four factors formed logical constructs, which were labeled as subscales called “services and assistance barriers,” “attitude and support barriers,” “physical and structural barriers,” and “policy barriers.” Each subscale in CHIEF for community dwelling elderly in Taiwan (18 questions) contained two to six questions, which were averaged to create mean of the subscale scores. The final version of CHIEF for the Community-dwelling Elderly in Taiwan (CHIEF-CET) was the result.

Table 1 Subject characteristics and the related mean of the subscale scores of CHIEF-CET

Basic activity of daily living (BADL) and Instrumental activity of daily living (IADL)

BADL and IADL were assessed using the Hierarchy of Care Required (HCR) [35]. HCR combines three subscales, including BADLs, IADLs, Cognition and Emotion. Every subscale has six activities, and each is divided into five levels. The six BADL tasks include feeding, hygiene (including grooming & bathing), clothing, sphincter control, transferring, and mobility. The six IADL tasks include making a meal, shopping, telephoning, financial management, taking medication, and transportation. The six cognitive and emotion (C&E) tasks include comprehension, expression, social interaction, memory, meta-emotion, and reality-testing. The item responses for each task were scored 1 to 5 (1, no need for help; 2, intermittent; 3, supervision; 4, need assistance all the time; 5. unable to do). The Cronbach’s α was 0.88-0.98, and 67%-86% of the variation in the HCR subscales was explained. In the case of the community-dwelling elderly in Taiwan, the Cronbach’s α has been found to be 0.68-0.98 [35].

Participants with no need for help in doing both BADL and IADL tasks were classified as no disability. Participants who reported difficulty in at least one BADL task were classified as BADL disability. Participants who reported difficulty in at least one IADL task were classified as IADL disability. IADL disability was dichotomized into IADL with difficulty in 1–2 tasks and IADL with difficulty in more than 2 tasks [36].

Mobility limitation

Mobility limitation was assessed using the Time Get Up and Go test (TUG) which consists of a timed sequence including rising from a chair, walking three meters, turning, and returning to sit in the chair [37]. This test has been used extensively in geriatric medicine to examine balance, gait speed, and the functional ability that would be required for the performance of basic activities of daily living in older people [38]. The time needed for TUG in healthy community-dwelling elderly aged between 60 to 79 year-old has been found to be about 7 to 9 seconds [39]. The cut-off time separating non-fallers and fallers has typically varied from 10 to 32.6 seconds [40]. Optimal cutoff values for separating physically abled from disabled older men and women in Taiwan, respectively have been determined to be 8.77 seconds and 9.12 seconds [41]. Sensitivity was found to be 69.0% and 63.2%, and specificity was 76.9% and 76.6%, respectively.

Personal factors

The personal factors used in this study included age, gender, education, living arrangements, financial status, and self-perceived health status. We dichotomized the personal factors as the following: age (65–74 years old/75 years old and above), gender (male/female), education (illiterate/literate), living arrangements (living alone/not living alone), financial status (lower-ranking family: average personal income in a family per year < 6400 US/non lower-ranking family > 6400 US), SRH (Likert scale from very poor, poor to fair: 0-3/from good to very good: 4–5) and TUG (<=10 seconds/>10 seconds). The Chinese translated Geriatric Depression Scale was used to assess the mood of the elderly people under consideration in this study [4244]. The scores on the 15-question version (each question with a ‘yes’ answer receives 1 point) range from 0 to 15, with a score of 4/5 [43] or 5/6 [42] being the cutoff point for the categorization of “depressive symptoms” (“yes” or “no”) in several studies. The cut-off point in this study was 5/6.

Statistical analysis

HCR BADL and IADL subscales associated with perceived environmental barriers were calculated with a multinomial logistic regression, using the total CHIEF-CET score and its four subscales as dichotomous dependent variables. The multinomial logistic regression was conducted to control for possible effects of other confounding factors. We then put the four subscales of CHIEF-CET into the multinomial logistic regression to measure the odds ratio (OR) of each subscale after adjusting for age, gender, education, living arrangement, financial status, GDS, SRH and TUG. Crude and adjusted odds ratios were performed to measure the associations between BADL and perceived environmental barriers, between IADL difficulty in 1–2 tasks with perceived environmental barriers, and between IADL difficulty in more than 2 tasks with perceived environmental barriers. Ninety five percent confidence intervals (CIs) not including 1 or p < .05 were regarded to be statistically significant. All analyses were performed using the Statistical Package of Social Science (SPSS) version 12.0.

Results

We collected data from a total of 200 community-dwelling elderly individuals. The mean age was 74.9 ± 6.9 years old. Subject characteristics and the related means of the domain scores for the CHIEF-CET are shown in Table 1.

Results for the multinomial logistic regression analysis appear in Table 2 for perceived environmental barriers and in Table 3 for each subscale. The results indicate that the presence of perceived environmental barriers was related to BADL disability (adjusted OR = 4.39, 95% CI = 1.01-19.11). The presence of perceived environmental barriers was also related to IADL disability (IADL with difficulty in 1–2 tasks: adjusted OR = 9.93, 95% CI = 3.22-30.56; IADL with difficulty in more than 2 tasks: adjusted OR = 8.40, 95% CI = 1.83-38.51). The presence of physically/structurally perceived environmental barriers was related to BADL disability (adjusted OR = 4.90, 95% CI = 1.01-23.86). The odds ratio of BADL disability (OR = 4.90) indicated that the presence of physically/structurally perceived environmental barriers increased the odds of BADL disability by 3.90 times. The presence of physically/structurally perceived environmental barriers was related to IADL disability (IADL with difficulty in 1–2 tasks: adjusted OR = 4.61, 95% CI = 1.27-16.76; IADL with difficulty in more than 2 tasks: adjusted OR = 17.05, 95% CI = 2.82-103.30). The odds ratio of IADL with difficulty in 1–2 tasks (OR = 4.61) indicated that the presence of physically/structurally perceived environmental barriers increased the odds of IADL with difficulty in 1–2 tasks by 3.61 times. The odds ratio of IADL with difficulty in more than 2 tasks (OR = 17.05) indicated that the presence of physically/structurally perceived environmental barriers increased the odds of IADL with difficulty in more than 2 tasks by 16.05 times.

Table 2 Associations between perceived environmental barriers and BADL/IADL disability
Table 3 Associations between each subscale of the perceived environment barriers and BADL/IADL disability

Discussion

In this study, a cultural adaptation of the CHIEF questionnaire was performed to facilitate measurement of environmental barriers among community-dwelling elderly people in Taiwan. The mean value of CHIEF-CET total score was 0.59, which is higher than the mean value of the CHIEF total score previously reported for the elderly in Korea (0.52) [31]. The mean of the subscale scores were as follows: Services/Assistance = 0.58, Physical/Structural = 0.67, Attitude/Support = 0.57, and Policies = 0.46. Among the four subscales, the Physical/Structural subscale showed the highest score, just as has been the case for patients who have experienced strokes [31, 32], spinal cord injuries [27] and traumatic brain injuries [27]. In Tainan City, which is a densely populated city with a relative lack of age-friendly buildings and facilities, it was not surprising that elderly individuals with functional limitations might encounter some physical and structural environmental barriers that restrict their social participation.

The focus of this analysis was an examination of relationships between difficulty with BADL/IADL and perceived environmental barriers among the elderly living in Tainan, Taiwan. The presence of difficulty related to BADL/IADL was associated with perceived environmental barriers after controlling for possible confounding factors. Our results were in accordance with those of previous studies in which perceived environmental barriers were found to be significantly related to activities of daily life but not to age, gender, or the occurrence of strokes in Korean community-dwelling elderly individuals [31].

We also added the four subscales into multinomial logistic regression in order to examine the differences in these four subscales. Physical/Structural environmental barriers were related to BADL and IADL with difficulty. Attitude/Support and policies environmental barriers were related to BADL and IADL with difficulty only in the descriptive analyses and not in the multivariate analyses. Service/Assistance environmental barriers were related to BADL with difficulty only in the descriptive analyses and not in the multivariate analyses. Different associations between the subscales of perceived environmental barriers and disability might be explained by compensatory strategies in elderly individuals.

Compensatory strategy has been defined as “a way of achieving a result that is adopted frequently in the face of physical impairment or limitation and under usual conditions.” [45] In Taiwan, three types of compensatory and coping strategies for disabled elderly were identified: (1) seeking support related to greater adaptation to difficulty in terms of family relationships; (2) avoidance of increases in the difficulty of adapting in the health-care, domestic environment and psychological distress dimensions; and (3) acceptance of reductions in the difficulty related to adapting to disability [46]. Seeking support related to greater adaptation to difficulty in terms of family relationships might attenuate the association between support environmental barriers and disability [47].

Overall, the strength of this study was that it provided a well-characterized environmental assessment that links the environment to estimates of BADL and IADL disability. Therefore, instead of using the CHIEF-CET, an effort was made to determine whether the Physical/Structural subscale is a more sensitive and convenient predictive tool for ADL disability in the community-dwelling elderly in Taiwan. Based on the results, the government should pay more attention to age-friendly buildings and facilities in order to reduce demands on elderly members of the population suffering from functional limitations, and the government should also promote community-level functioning in the elderly.

Limitations

There were some limitations in this study. First, because this was a cross-sectional study, a causal effect of perceived environmental barriers on disability cannot be claimed. Future research involving longitudinal studies of perceived environmental barriers and objective environmental barriers with disability are warranted.

Next, pathology was not included in this study. However, in recent years, a hierarchical relationship between pathology, mobility, IADL and BADL limitations has been verified both by cross-sectional research [48] and longitudinal research [49, 50]. Thus, a majority of elderly individuals with co-morbidities develop disabilities in the mobility domain first, followed by IADL and eventually, BADL. The main pathway from pathology to disability is through mobility limitations among the elderly. Although we didn’t measure co-morbidities, we did measure lower body functional limitations.

Third, this study was based on 200 subjects from two community service centers. The relatively small population size might have limited the statistical power of the detected associations. Finally, it might be difficult to justify generalizing the results of this study for the entire population of Taiwan without any further information. However, these two communities are typical urban communities in Taiwan. The results might be suitable for application to other urban communities in Taiwan. In Taiwan, the majority of communities are located in urban areas. Hence, the results are still valuable for policy makers in Taiwan.

Conclusions

Perceived environmental barriers are related to disability in community-dwelling elderly. These results underscore the importance of perceived environmental barriers on activity limitation and participation restriction, especially when dealing with an aging population that is likely to exhibit an increased number of disabilities over the coming years.

References

  1. Ministry of Interior: The Physically and Mentally Disabled Population by Aged and Grade, 2003–2012. 2013, Taipei, Taiwan: Department of Statistics

    Google Scholar 

  2. Murray CJL, Richards MA, Newton JN, Fenton KA, Anderson HR, Atkinson C, Davis A: UK health performance: findings of the Global Burden of Disease Study 2010. Lancet. 2013, 381: 997-1020. 10.1016/S0140-6736(13)60355-4.

    Article  PubMed  Google Scholar 

  3. Fried TR, Bradley EH, Williams CS, Tinetti ME: Functional disability and health care expenditures for older persons. Arch Intern Med. 2001, 161: 2602-2607. 10.1001/archinte.161.21.2602.

    Article  CAS  PubMed  Google Scholar 

  4. Yang G, Wang Y, Zeng Y, Gao GF, Liang X, Zhou M, Murray CJ: Rapid health transition in China, 1990–2010: findings from the global burden of disease study 2010. Lancet. 2013, 381: 1987-2015. 10.1016/S0140-6736(13)61097-1.

    Article  PubMed  Google Scholar 

  5. Nagi SZ: Sociology and Rehabilitation. 1965, Washington DC: American Sociological Association

    Google Scholar 

  6. Stuck AE, Walthert JM, Nikolaus T, Bula CJ, Hohmann C, Beck JC: Risk factors for functional status decline in community-living elderly people: a systematic literature review. Soc Sci Med. 1999, 48 (4): 445-469. 10.1016/S0277-9536(98)00370-0.

    Article  CAS  PubMed  Google Scholar 

  7. Schootman M, Andresen EM, Wolinsky FD, Malmstrom TK, Miller JP, Miller DK: Neighborhood conditions and risk of incident lower-body functional limitations among middle-aged African Americans. Am J Epidemiol. 2006, 163: 450-458. 10.1093/aje/kwj054.

    Article  PubMed  Google Scholar 

  8. Tomey KM, Sowers MR: Assessment of physical functioning: a conceptual model encompassing environmental factors and individual compensation strategies. Phys Ther. 2009, 89: 705-714. 10.2522/ptj.20080213.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lewin K: Field Theory in Social Science. 1951, New York: Harper & Brothers

    Google Scholar 

  10. Lawton MP: Competence, Environmental Press, and the Adaptation of Older People. Aging and the Environment. Edited by: Lawton MP, Windley PG, Byerts TO. 1982, New York, NY: Springer, 33-59.

    Google Scholar 

  11. Oswald F, Hieber A, Wahl H, Mollenkopf H: Ageing and person-environment fit in different urban neighbourhoods. Eur J Ageing. 2005, 2 (2): 88-97. 10.1007/s10433-005-0026-5.

    Article  Google Scholar 

  12. World Health Organization: International Classification of Functioning, Disability and Health: ICF. 2001, Geneva: WHO

    Google Scholar 

  13. Almborg AH, Welmer AK: Use of the International Classification of Functioning, Disability and Health (ICF) in social services for elderly in Sweden. Disabil Rehabil. 2012, 34 (11): 959-964. 10.3109/09638288.2011.628739.

    Article  PubMed  Google Scholar 

  14. Lowry KA, Vallejo AN, Studenski SA: Successful aging as a continuum of functional independence: Lessons from physical disability models of aging. Aging Dis. 2012, 3 (1): 5-15.

    PubMed  Google Scholar 

  15. Chang KH, Lin YN, Liao HF, Yen CF, Escorpizo R, Yen TH, Liou TH: Environmental effects on WHODAS 2.0 among patients with stroke with a focus on ICF category e120. Qual Life Res. 2014, doi:10.1007/s11136-014-0624-9

    Google Scholar 

  16. Chen HY, Wang CY, Lee MY, Tang PF, Chu YH, Suen MW: A hierarchical categorization of tasks in mobility disability. Disabil Rehabil. 2010, 32 (19): 1586-1593. 10.3109/09638280903551533.

    Article  PubMed  Google Scholar 

  17. Demura S, Yamada T, Uchiyama M, Sugiura H, Hamazaki H: Selection of useful items for fall risk screening for community dwelling Japanese elderly from the perspective of fall experience, physical function, and age level differences. Arch Gerontol Geriatr. 2011, 53 (2): 123-130. 10.1016/j.archger.2010.11.012.

    Article  PubMed  Google Scholar 

  18. Yen TH, Lin LF, Wei TS, Chang KH, Wang YH, Liou TH: Delphi-based assessment of fall-related risk factors in acute rehabilitation settings according to the international classification of functioning, disability and health. Arch Phys Med Rehabil. 2014, 95 (1): 50-57. 10.1016/j.apmr.2013.09.006.

    Article  PubMed  Google Scholar 

  19. Jamebozorgi AA, Kavoosi A, Shafiee Z, Kahlaee AH, Raei M: Investigation of the prevalent fall-related risk factors of fractures in elderly referred to Tehran hospitals. Med J Islam Repub Iran. 2013, 27 (1): 23-30.

    PubMed  PubMed Central  Google Scholar 

  20. Corseuil MW, Schneider IJ, Silva DA, Costa FF, Silva KS, Borges LJ, d’Orsi E: Perception of environmental obstacles to commuting physical activity in brazilian elderly. Prev Med. 2011, 53: 289-292. 10.1016/j.ypmed.2011.07.016.

    Article  PubMed  Google Scholar 

  21. Murayama H, Yoshie S, Sugawara I, Wakui T, Arami R: Contextual effect of neighborhood environment on homebound elderly in a Japanese community. Arch Gerontol Geriatr. 2012, 54: 67-71. 10.1016/j.archger.2011.03.016.

    Article  PubMed  Google Scholar 

  22. Clarke P, George LK: The role of the built environment in the disablement process. Am J Public Health. 2005, 95: 1933-1939. 10.2105/AJPH.2004.054494.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Boer R, Zheng Y, Overton A, Ridgeway GK, Cohen DA: Neighborhood design and walking trips in ten U.S. metropolitan areas. Am J Prev Med. 2007, 32: 298-304. 10.1016/j.amepre.2006.12.012.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zeng Y, Gu D, Purser J, Hoenig H, Christakis N: Associations of environmental factors with elderly health and mortality in China. Am J Public Health. 2010, 100 (2): 298-305. 10.2105/AJPH.2008.154971.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Peng X, Song S, Sullivan S, Qiu J, Wang W: Ageing, the urban–rural gap and disability trends: 19 years of experience in China-1987 to 2006. PLoS One. 2010, 5: e12129-10.1371/journal.pone.0012129.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wang JJ: Psychological abuse and its characteristic correlates among elderly Taiwanese. Arch Gerontol Geriatr. 2006, 42 (3): 307-318. 10.1016/j.archger.2005.08.006.

    Article  PubMed  Google Scholar 

  27. Whiteneck GG, Harrison-Felix CL, Mellick DC, Brooks CA, Charlifue SB, Gerhart KA: Quantifying environmental factors: a measure of physical, attitudinal, service, productivity, and policy barriers. Arch Phys Med Rehabil. 2004, 85 (8): 1324-1335. 10.1016/j.apmr.2003.09.027.

    Article  PubMed  Google Scholar 

  28. Houlihan BV, Jette A, Friedman RH, Paasche-Orlow M, Ni P, Wierbicky J, Williams S: A pilot study of a telehealth intervention for persons with spinal cord dysfunction. Spinal Cord. 2013, 51 (9): 715-720. 10.1038/sc.2013.45.

    Article  CAS  PubMed  Google Scholar 

  29. Sekaran P, Vijayakumari F, Hariharan R, Zachariah K, Joseph SE, Kumar RK: Community reintegration of spinal cord-injured patients in rural south India. Spinal Cord. 2010, 48: 628-632. 10.1038/sc.2010.6.

    Article  CAS  PubMed  Google Scholar 

  30. Kolakowsky-Hayner SA, Wright J, Englander J, Duong T, Ladley-O’Brien S: Impact of late post-traumatic seizures on physical health and functioning for individuals with brain injury within the community. Brain Inj. 2013, 27 (5): 578-586. 10.3109/02699052.2013.765595.

    Article  PubMed  Google Scholar 

  31. Han CW, Yajima Y, Lee EJ, Nakajima K, Meguro M, Kohzuki M: Validity and utility of the Craig hospital inventory of environmental factors for Korean community-dwelling elderly with or without stroke. Tohoku J Exp Med. 2005, 206 (1): 41-49. 10.1620/tjem.206.41.

    Article  PubMed  Google Scholar 

  32. Liao LR, Lau RW, Pang MY: Measuring environmental barriers faced by individuals living with stroke: development and validation of the Chinese version of the Craig Hospital Inventory of Environmental Factors. J Rehabil Med. 2012, 44 (9): 740-746. 10.2340/16501977-1014.

    Article  PubMed  Google Scholar 

  33. Beaton D, Bombardier C, Guillemin F, Ferraz M: Guidelines for the process of cross-cultural adaptation of self report measures. Spine. 2000, 25: 3186-3191. 10.1097/00007632-200012150-00014.

    Article  CAS  PubMed  Google Scholar 

  34. Ministry of Education: Education in Taiwan 2013–2014. 2013, Taipei, Taiwan: Department of Statistics

    Google Scholar 

  35. Chen HT, Liu CK, Chen SI, Guo NW, Lin JH, Yeh SH, Chang JJ, Yu PW: The development of the Hierarchy of the Care Required. 2000, Taipei, Taiwan: Ministry of Health and Welfare

    Google Scholar 

  36. Patil R, Uusi-Rasi K, Kannus P, Karinkanta S, Sievänen H: Concern about falling in older women with a history of falls: associations with health, functional ability, physical activity and quality of life. Gerontology. 2014, 60 (1): 22-30. 10.1159/000354335.

    Article  PubMed  Google Scholar 

  37. Podsiadlo D, Richardson S: The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991, 39 (2): 142-148.

    Article  CAS  PubMed  Google Scholar 

  38. Bohannon RW: Reference values for the timed up and go test: a descriptive metaanalysis. J Geriatr Phys Ther. 2006, 29: 64-68. 10.1519/00139143-200608000-00004.

    Article  PubMed  Google Scholar 

  39. Isles RC, Choy NL, Steer M, Nitz JC: Normal values of balance tests in women aged 20–80. J Am Geriatr Soc. 2004, 52 (8): 1367-1372. 10.1111/j.1532-5415.2004.52370.x.

    Article  PubMed  Google Scholar 

  40. Beauchet O, Fantino B, Allali G, Muir SW, Montero-Odasso M, Annweiler C: Timed Up and Go test and risk of falls in older adults: a systematic review. J Nutr Health Aging. 2011, 15 (10): 933-938. 10.1007/s12603-011-0062-0.

    Article  CAS  PubMed  Google Scholar 

  41. Lin YH, Yen CH, Kuo MS, Hu MH, Wang CY: The cutoff values of performance tests to separate community-dwelling older adults with and without physical disability. Taiwan Geriatr Gerontol. 2012, 7 (3): 160-174.

    Google Scholar 

  42. Ku YC, Liu WC, Tsai YF: Prevalence and risk factors for depressive symptoms among veterans home elders in Eastern Taiwan. Int J Geriatr Psychiatry. 2006, 21: 1181-1186. 10.1002/gps.1638.

    Article  PubMed  Google Scholar 

  43. Liu CY, Wang SJ, Teng EL, Fuh JL, Lin CC, Lin KN, Liu HC: Depressive disorders among older residents in a Chinese rural community. Psychol Med. 1997, 27: 943-949. 10.1017/S0033291797005230.

    Article  CAS  PubMed  Google Scholar 

  44. Yeh TL, Liao IC, Yang YK, Ko HC, Chang CJ, Lu FH: Geriatric Depression Scale (Taiwanese and Mandarin Translations). Clin Gerontol. 1995, 15 (3): 58-60.

    Google Scholar 

  45. Weiss CO, Hoenig HM, Fried LP: Compensatory strategies used by older adults facing mobility disability. Arch Phys Med Rehabil. 2007, 88: 1217-1220. 10.1016/j.apmr.2007.07.007.

    Article  PubMed  Google Scholar 

  46. Hsu HC, Tung HJ: Coping strategies and adaptation for the disabled elderly in Taiwan. Geriatr Gerontol Int. 2011, 11 (4): 488-495. 10.1111/j.1447-0594.2011.00701.x.

    Article  PubMed  Google Scholar 

  47. King G, Willoughby C, Specht JA, Brown E: Social support processes and the adaptation of individuals with chronic disabilities. Qual Health Res. 2006, 16 (7): 902-925. 10.1177/1049732306289920.

    Article  PubMed  Google Scholar 

  48. Femia EE, Zarit SH, Johansson B: The disablement process in very late life: A study of the oldest-old in Sweden. J Gerontol B Psychol Sci Soc Sci. 2001, 56B (1): 12-P23.

    Article  Google Scholar 

  49. Barberger-Gateau P, Rainville C, Letenneur L, Dartigues JF: A hierarchical model of domains of disablement in the elderly: a longitudinal approach. Disabil Rehabil. 2000, 22: 308-317. 10.1080/096382800296665.

    Article  CAS  PubMed  Google Scholar 

  50. Peek MK, Ottenbacher KJ, Markides KS, Ostir GV: Examining the disablement process among older Mexican adults. Soc Sci Med. 2003, 57 (3): 413-425. 10.1016/S0277-9536(02)00367-2.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Ms. Hui-Ping Wang for manuscript preparation.

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Correspondence to Ta-Shen Kuan.

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The authors declare that they have no competing interests.

Authors’ contributions

WCL, NWG, JHC, YCL and TSK designed the present study. WCL and TSK enrolled the subjects, extracted the data, performed the statistical analysis, and wrote the original draft. WCL, NWG, JHC, YCL and TSK revised the draft critically and approved the final manuscript.

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Lien, WC., Guo, NW., Chang, JH. et al. Relationship of perceived environmental barriers and disability in community-dwelling elderly in Taiwan – a population-based study. BMC Geriatr 14, 59 (2014). https://doi.org/10.1186/1471-2318-14-59

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