Literature DB >> 30767759

Inflammatory Biomarkers, Depressive Symptoms and Falls Among the elderly in Panama.

Gabrielle B Britton1, Sid E O'Bryant2, Leigh A Johnson2, James R Hall2, Alcibiades E Villarreal1, Diana C Oviedo3, Ambar R Pérez-Lao3, María B Carreira1.   

Abstract

BACKGROUND: Falls are common among elderly adults, and are predictors of hospitalization, institutionalization and mortality.
OBJECTIVE: The objective of the present study was to examine the relationship between blood-based markers of inflammation and fall events in a sample of elderly Hispanic adults.
METHOD: Data were collected from 190 participants enrolled in the Panama Aging Research Initiative study who completed baseline clinical and cognitive assessments. A non-fasting blood sample was obtained. Self-reported falls were classified as no falls, single falls or recurrent (two or more) falls reported in the 12 months prior to baseline evaluations. Serum levels of C Reactive Protein (CRP), T-lymphocyte secreting protein (I-309), interleukin 10 (IL-10), interleukin 6 (IL-6) and interleukin 7 (IL-7) were measured. Global cognition was assessed with the Mini Mental State Examination and depressive symptoms were assessed with the Geriatric Depression Scale (GDS-30). Multinomial logistic regression was used to assess the link between inflammation and fall events.
RESULTS: Depressive symptoms, limitations in Instrumental Activities of Daily Living (IADL), IL-7 and I-309 were significantly related to fall events. Elevated levels of IL-7 increased the likelihood of single and recurrent falls, while increased levels of I-309 were associated only with recurrent falls. Greater IADL limitations and depressive symptoms were associated with an increased likelihood of recurrent falls.
CONCLUSION: There is a lack of research investigating the relationship between inflammatory biomarkers and fall events. These results provide evidence of risk factors for falls in Hispanic older adults, and could serve to guide public health professionals to establish clinical guidelines to reduce fall risks. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Aging; Hispanics; Latin America; depression; disability; inflammation.

Year:  2019        PMID: 30767759      PMCID: PMC6635419          DOI: 10.2174/1874609812666190215125104

Source DB:  PubMed          Journal:  Curr Aging Sci        ISSN: 1874-6098


INTRODUCTION

Falls have a significant impact on health outcomes in the elderly [1]. As the number of falls increases elderly adults experience a greater risk of hospitalization and mortality. Fall-related injuries can result in physical limitations that impact the capacity to perform daily activities independently, place a significant burden on caregivers, and are a leading cause of institutionalization [2]. Moreover, depressive symptoms, which are common among older adults, have been shown also to be associated with falls [3, 4]. Fall events are linked to multiple causes, and so the identification and assessment of factors related to falls could aid in fall prevention [5-7]. Identification of biomarkers that are related to fall events may provide clues into the pathophysiological mechanisms related to falls, which in turn, could lead to novel approaches for identifying individuals at risk for progressing to worse health states. Although several studies have investigated the relationship between inflammatory biomarkers and other age-related conditions, such as cognitive impairment and depression [8], few studies have focused on the relationship between inflammatory markers and falls. Because the immune system undergoes extensive remodeling over the course of aging and has a major impact on an individual’s health and survival, an examination of the link between inflammation and falls could shed light on intervention strategies aimed at preventing falls. Most studies that have examined risk factors associated with falls have been conducted in non-Hispanic white populations, while few have included diverse racial/ethnic minorities [9-11]. Moreover, a significant proportion of the world’s aging population lives in developing countries, which will carry a greater share of the burden associated with falls [12]. Despite this, evidence of falls in older adults in developing countries is scarce. The objective of this study was to identify the factors associated with falling in elderly Hispanic adults in Panama. Clinical characteristics, cognitive function, and depressive symptoms, in addition to five inflammatory markers, were assessed in elderly adults who reported no falls, one fall or recurrent falls in order to establish clinical signs of fall risk. Factors that increase with age and may impact this relationship include chronic illness comorbidity, functional limitations, a history of falls, cognitive impairments, depression and physical inactivity [1, 13, 14]. Considering that the aged population is increasing in Panama, as in most developing countries, an increased incidence of chronic medical conditions and other age-related disorders is expected, and thus research to identify the correlates of fall events is timely.

MATERIALS AND METHODS

Participants

Data from this study came from the Panama Aging Research Initiative (PARI) study, an ongoing study of Panamanian aging. The study protocol has been described in detail in previous publications [15, 16]. PARI participants were recruited from the outpatient geriatric services of the largest public hospital of the Social Security (CSS) located in Panama, the capital city of Panama. Inclusion criteria were being at least 65 years of age, willing to participate in baseline and three follow-up interviews over the course of 12-18 months, and provision of informed consent. Exclusion criteria included any physical or medical condition that required current hospitalization or institutionalization or participation in an ongoing clinical study at the time of enrollment. The study protocol was approved by the National Bioethics Committee of the Instituto Conmemorativo Gorgas de Estudios de la Salud and the Institutional Bioethics Committee of the CSS. Participants provided written informed consent in accordance with the principles of the Declaration of Helsinki (1964). The present report constitutes an analysis of the data from 190 participants who had complete evaluations during the baseline interview and assessment of cognitive function and depressive symptoms. At baseline, each participant underwent a physical exam and clinical interview, and provided information of demographic factors, medical conditions, fall events and functional status. A non-fasting blood sample was obtained. Approximately four months later (M=4.5 months, SD=1.9) participants underwent cognitive testing and assessments of depressive symptoms. Interviewers included physicians, medical students and graduate students. The interviews were conducted in Spanish. Assisted interviews (with a relative, informant or caregiver) were carried out in 12% of cases.

Variables and Measurement

Participants were asked questions regarding fall events (outcome variable) over the 12 months preceding the baseline interview. We examined the relationship between clinical characteristics and inflammatory biomarkers and the outcome variable, the likelihood (odds ratio) of having experienced a single fall or recurrent falls (two or more) relative to experiencing no falls. Performance in activities of daily living was evaluated through self-report as reported previously [17]. Subjects were asked to indicate whether they had any limitations performing the following seven Basic Activities of Daily Living (BADL): transferring, bathing, dressing, grooming, toileting, feeding, and urinary continence. Limitations in seven Instrumental Activities of Daily Living (IADL) were evaluated: leaving the home independently, preparing a meal, using a telephone, grocery shopping, performing basic house chores, and managing finances and medications. BADL and IADL items were dichotomized as none or at least one. Seven chronic conditions were recorded through self-report: hypertension, coronary heart disease, diabetes, stroke, cancer, chronic lung disease, and arthritis. The number of chronic diseases was coded as a categorical disease indicator of whether a participant reported none or one, two, or three or more conditions (the smallest two categories were grouped due to small numbers). The 30-item Spanish version of the Mini-Mental State Examination (MMSE) was used as a measure of global cognition [18], and scores were adjusted for age and level of education [19]. For regression analyses two MMSE categories were defined: cognitively impaired (< 24) and unimpaired (≥ 24). Depressive symptoms were assessed with the Spanish version of the 30-item Geriatric Depression Scale (GDS-30) [20, 21]. The instrument consists of 30 yes/no items used to identify depression in the elderly, and was applied by the investigator reading the items out loud and registering the participant’s responses. For regression analyses participants were classified into one of two categories according to GDS scores. Higher scores indicate a greater possibility of depression. The standard cut-off score of ≥ 11 depressive symptoms was applied to classify depressed individuals [20]. Lastly, participants were asked whether they engaged regularly in physical activity (moderate to intense activity once a week or more), and responses were categorized as yes or no.

Biomarkers and Assays

Five markers of inflammation were assayed: C-reactive protein (CRP), T-lymphocyte secreting protein (I-309), interleukin-6 (IL-6), interleukin-7 (IL-6), and interleukin-10 (IL-10). Biomarker assays have been described in previous publications [16, 22, 23]. Briefly, non-fasting morning samples were collected with 10 ml serum-separating vacutainer tubes and allowed to clot at room temperature before being centrifuged at 1300 x g for 10 min, aliquoted (1 ml) into polypropylene cryovial tubes and stored at -80°C. Assays were conducted in duplicate via a multi-plex biomarker assay platform using electrochemiluminescence (ECL) on the QuickPlex SQ120 Imager from Meso Scale Discovery (MSD; mesoscale.com) per our previously published protocols [22, 24]. The MSD platform has been used extensively to assay biomarkers associated with a range of human diseases and with greater sensitivity than conventional ELISAs. For each analyte, values that exceeded the limit of detection in > 75% of all the samples for each respective analyte were included in the analyses. These criteria were fulfilled by all analytes in the present study. We recently published ranges and CVs for > 1,000 subjects on these assays [22]. In cases where there were values below the limit of detection, we used imputation to assign a value that was 1% below the lowest detectable value for that analyte (< 1% of cases).

Statistical Analysis

We first examined relationships between self-reported falls (no falls, single fall, or recurrent falls) and demographic and clinical characteristics using descriptive statistics. We then examined the independent relationships between demographic and clinical characteristics and falls in an age-, sex- and education-adjusted multinomial logistic regression analysis. This strategy examined the association between clinical and functional variables and single and/or recurrent falls, compared to the absence of falls. Age, sex and education were included as covariates based on evidence of their influence on the relationship between predictors and falls [11, 25, 26]. Odds Ratios (OR) and 95% confidence intervals (CIs) are reported. All analyses were conducted using SPSS 21.0.

RESULTS

Demographic characteristics of the sample are provided in Table . Thirty-seven percent (n= 71) of participants reported at least one fall in the twelve months prior to baseline assessment. Participant ages ranged from 65 to 102 years with a mean age of 78.0 (SD= 7.7). Sixty-five percent of participants were female (n= 123) and approximately half of the sample (49.5%) completed six years of education (primary) or less. Sixteen percent of the sample (n= 17) exceeded the cut-off score of ≥ 11 depressive symptoms and were classified as depressed. In sex, age and education-adjusted multinomial logistic regression analyses, there were significant associations between IADL limitations, depressive symptoms, and inflammatory biomarkers with fall events (Table ). Participants with increased levels of IL-7 were more likely to have reported single or multiple falls than participants who reported no falls. Likewise, those with increased I-309 levels were more likely to have suffered recurrent falls compared to those who reported no falls. In addition, having at least one IADL limitation and a greater number of depressive symptoms was associated with a greater likelihood of reporting recurrent falls. Chronic illness comorbidity, cognitive impairment, lack of physical activity and CRP, IL-10 and Il-6 levels were not significantly associated with self-reported falls.

DISCUSSION

Falls are one of the most common problems among older individuals threatening their independence and increasing morbidity, mortality, hospitalization and institutionalization. In the United States, the Centers for Disease Control and Prevention (CDC) reports that approximately 25% of older adults fall annually [27]. Studies have shown that falls are associated with various factors including muscle weakness, a history of falls, depressive symptoms and impairments in cognition, activities of daily living and balance, among others [1]. Many potential biomarkers are being tested for their association with age-related disease and prospective mortality. Thus, the aim of the present study was to examine the relationship between self-reported falls and various clinical factors and inflammatory biomarkers that have been associated with aging-related conditions. In the present study, we report that depressive symptoms and limitations in instrumental activities of daily living, as well as two inflammatory biomarkers, IL-7 and I-309, were associated with falls. Among the variables most strongly associated with recurrent falls were limitations in IADL and increased depressive symptoms. Several studies have shown that falls and fall related injuries are associated with functional decline [28] and in many cases are independent predictors of functional decline in community-dwelling older adults [2]. One study found that in younger groups of healthier older adults, those who fall frequently or report injury are at highest risk for functional dependence in activities of daily living [29]. Likewise, in various cross-sectional and longitudinal studies depression has been shown to be a potential risk factor for falls [25, 30, 31]. Our results indicate a strong likelihood of limitations in IADL and depression in recurrent fallers. Participants with limitations in at least one IADL who also reported depressive symptomatology were four and two times as likely, respectively, to report multiple falls than no falls, suggesting that dependent and depressed individuals are at the highest risk for frequent falls. There is scarce data available regarding the relationship between inflammatory biomarkers and falls. One recent study showed that increased 25- hydroxyvitamin D (S-25(OH)D), a marker of skeletal devepment, was associated with fewer falls in a cohort of Finnish home-dwelling women [32]. In other studies, a meta-analysis of factors associated with frailty and pre-frailty, which pose the threat of an increased risk of age-related complications including fall incidents, showed that frailty status was associated with significantly higher levels of serum inflammatory biomarkers such as CRP and IL-6 [33]. Similar results were found for plasma concentrations of other inflammatory glycoproteins (transferrin, fibrinogen, and IL-6) and frailty [34]. Together, studies examining frailty suggest that inflammatory proteins may be helpful in the assessment of physical decline as a complement to the clinical evaluation and assessment. Moreover, falls and frailty, although defined differently, share many characteristics, and thus both may provide some insight into age-related disease processes. In the present study, analysis of the five biomarkers assessed revealed that higher levels of IL-7 and I-309 were significantly associated with a greater likelihood of falls. Previous work has shown that IL-7 and its receptor, IL-7R, are implicated in the differentiation, proliferation, and survival of immune cells, and recent studies have supported the IL-7 pathway as a biomarker of successful aging [35], although results have not been consistent. In general, studies support a critical role for the IL-7 pathway in the homeostasis of the immune system and in the maintenance of healthspan during aging. In one study, longevity was associated with low levels of IL-7R, [35] which limits the number of cells capable of responding to IL-7 [36] and also reduces levels of serum IL-7 [37]. However, the relationship between levels of IL-7R gene expression and ten-year mortality was found to be age dependent; in nonagenarians higher levels of IL-7R were associated with longer lifespan [35]. On the other hand, individuals suffering from autoimmune disease express increased levels of IL-7R complex genes [38, 39]. In sum, the IL-7 pathway appears to be implicated in the rate of aging but in an age- and health-dependent manner. Here we show that fall events are associated with an increase in this serum marker. Further work is needed to clarify the mechanisms that link IL-7 to fall events and to healthspan in general. To our knowledge, no studies have linked I-309 to fall events in the elderly, although several studies have linked I-309 with Alzheimer’s Disease (AD) [16, 24, 40, 41], the most common form of dementia in the elderly. I-309 is a small glycoprotein secreted by activated T cells that belongs to a family of inflammatory cytokines known as chemokines. In recent studies from our laboratory in which we established blood-based biomarker profiles of AD and Mild Cognitive Impairment (MCI) compared with subjects with normal cognition, I-309 was the number one marker in the risk score for both AD and MCI [16], and was found to be significantly elevated in both MCI and AD subjects relative to controls. Moreover, I-309 was among the top 10 markers that overlapped with those from our cross-validated 21 serum-based biomarker panel for AD [24]. Levels of I-309 in cerebrospinal fluid, assessed post-mortem, were also found to be independently associated with the severity of cognitive impairment in AD but not with other neurodegenerative disorders [41]. Because I-309 is associated with the inflammatory response, these findings suggest that falls, like AD, are associated with immune system dysfunction. This study has several limitations, the most important being the cross-sectional design of the study. Ongoing assessments are being conducted every 18-24 months and the link between baseline measures and risk of future fall events is now being investigated. Another limitation is that the findings cannot be generalized to elderly adults who are institutionalized or hospitalized. More extensive studies, preferably randomized controlled trials with larger sample sizes, will shed light on risk factors associated with fall events.

CONCLUSION

Biomarkers can improve our understanding of and risk for age-associated conditions, changes in health status, morbidity, and mortality. The present study has shown the relationship between inflammatory biomarkers to the incidence of falls in elderly adults. The association of two inflammatory markers, IL-7 and I-309, with single and/or recurrent falls, with depressive symptoms, and with limitations in the capacity to carry out everyday activities stand out as strong predictors of recurrent falls in particular. These findings support a role of inflammatory biomarkers in the likelihood of falls, and emphasize that co-existing medical conditions should be included in assessments looking for potential risk factors.
Table 1

Characteristics of participants who reported no falls, a single fall or recurrent falls.

Characteristic No Falls (n= 119) Single Fall (n= 29) Recurrent Falls (n= 42) p*
Mean/% (SD/n) Mean/% (SD/n) Mean/% (SD/n)
Age, years77.9 (7.8)77.7 (6.8)78.7 (8.2)NS
Sex, female63.9% (76)65.5% (19)66.7% (28)NS
Education, years8.3 (3.8)8.5 (4.1)7.0 (3.7)NS
Marital Status, not married or partnered54.6% (65)51.7% (15)59.5% (25)NS
BADL0.31 (0.08)0.55 (0.15)0.50 (0.06)NS
IADL1.01 (0.14)1.76 (0.31)a1.50 (0.22)a0.027
Comorbidity---0.002
0-1 Conditions28.6% (34)20.7% (6)16.7% (7)-
2 Conditions41.2% (49)20.7% (6)21.4% (9)-
3+ Conditions30.3% (36)58.6% (17)61.9% (26)-
Physical activity, not active61.3% (73)86.2% (25)66.7% (28)0.040
Global cognition (MMSE)25.6 (5.2)23.6 (4.5)25.3 (4.5)NS
Depressive symptoms (GDS-30)7.1 (0.5)8.7 (1.3)a8.7 (0.9)a0.041
Biomarkers----
CRP (ng/ml)3.34 (0.83)2.68 (0.56)5.69 (1.93)NS
I309 (pg/ml)3.71 (0.56)5.10 (0.49)6.34 (0.60)0.023
IL-10 (pg/ml)1.96 (0.45)1.15 (0.12)3.50 (1.62)NS
IL-6 (pg/ml)6.22 (2.57)3.90 (1.44)4.33 (0.75)NS
IL-7 (pg/ml)10.30 (0.60)13.37 (2.00)a12.28 (0.86)a0.037

Data are means (standard deviation) for continuous variables or percentage (number) for categorical variables. *Continuous variables were analyzed with one-way analysis of variance followed by Tukey’s post hoc test and categorical variables with chi-square test. aSignificantly different from individuals who reported no falls. SD = Standard Deviation; NS = Not Statistically significant (p>0.05); BADL = Basic Activities of Daily Living; IADL = Instrumental Activities of Daily Living; MMSE = Mini-Mental State Exam; GDS-30 = Geriatric Depression Scale (30-item); CRP = C Reactive Protein; I309 = T lymphocyte secreted protein; IL-10 = Interleukin 10; IL-6 = Interleukin 6; IL-7 = Interleukin 7.

Table 2

Sex-, age- and education-adjusted multinomial logistic regression analysis examining the relationship between clinical characteristics and inflammatory biomarkers and the likelihood of self-reported falls.

Characteristic Single Fall OR [95% CI] (Ref: No Falls) Multiple Falls OR [95% CI] (Ref: No Falls)
Not married/partnered0.65 [0.12-3.61]0.48 [0.12-1.90]
BADL (at least one limitation)0.19 [0.02-1.74]0.64 [0.14-2.85]
IADL (at least one limitation)1.45 [0.19-11.07]4.28* [1.03-17.73]
Comorbidity--
0-1 Conditions--
2 Conditions1.91 [0.23-15.48]0.40 [0.07-2.41]
3+ Conditions0.93 [0.11-8.29]1.08 [0.22-5.21]
Physical activity, not active2.30 [0.68-7.70]0.85 [0.36-2.03]
Global cognition (MMSE)1.92 [0.72-5.11]1.11 [0.48-2.57]
Depressive symptoms (GDS-30)0.82 [0.06-11.41]2.30* [1.48-11.01]
Biomarkers--
CRP (ng/ml)1.00 [0.89-1.10]1.00 [0.65-1.17]
I309 (pg/ml)1.13 [0.98-1.32]1.76* [1.10-2.36]
IL-10 (pg/ml)0.60 [0.18-2.01]1.00 [0.89-1.12]
IL-6 (pg/ml)0.98 [0.91-1.06]1.00 [0.95-1.05]
IL-7 (pg/ml)1.20** [1.04-1.37]1.14* [1.01-1.29]

Note: This analysis controls for age, sex and education. OR = odds ratio; BADL = Basic Activities of Daily Living; IADL = Instrumental Activities of Daily Living; MMSE = Mini-Mental State Exam; GDS-30 = Geriatric Depression Scale (30-item); CRP = C Reactive Protein; I309 = T Lymphocyte-Secreted Protein; IL-10 = Interleukin 10; IL-6 = Interleukin 6; IL-7 = Interleukin 7. Significance levels are indicated at *p < .05; **p < .01.

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