Change in quality of life among community-dwelling older adults: population-based longitudinal study

Quality of Life Research - This population-based study aimed to determine 5-year change in multidimensional QoL among community-dwelling older people, and to identify predictors of QoL change among...     

Neighborhood resources associated with frailty trajectories over time among community-dwelling older adults in China

Background and objectivesRecent research has identified neighborhoods as an important contributor to later-life frailty. However, little is known about how neighborhood resources are associated with frailty trajectories over time, especially in developing countries. This study examines the impact of neighborhood physical and social resources on the trajectories of frailty over time among older people in China.Research design and methodsUsing the four waves of the China Health and Retirement Longitudinal Study (2011–2018), 5673 respondents aged 60 and above at baseline were included for analyses. Multilevel growth modeling was fitted to estimate the effects of neighborhood resources on frailty trajectories over a 7-year period, controlling for individual-level characteristics.ResultsOlder Chinese people who lived in neighborhoods with better basic infrastructures and a greater number of voluntary organizations were less frail at baseline. Accessible exercise facilities were associated with a lower initial level of frailty only among rural older adults, while higher community-level socioeconomic status (SES) was associated with a lower initial level of frailty only among urban older adults. Over the 7-year follow-up period, better basic infrastructures and accessible exercise facilities were associated with a slower increase rate of frailty scores among rural residents.Discussion and implicationsNeighborhood resources are important contributors to the level of frailty among older Chinese people. Our findings of significant urban-rural differences have important implications for designing and implementing infrastructure development and community building programs in rural and urban China.     

武汉市社区老年人生命质量及影响因素分析

目的 了解武汉市社区老年人的生命质量及其相关影响因素。方法 采用现况研究方法,对抽取的1 272例老年人采用欧洲五维度健康量表（EuroQol five dimensions questionnaire,EQ-5D）进行生命质量评价和问卷调查。数据采用多元线性逐步回归模型分析。结果 武汉市社区老年人生命质量总体评价较好,其EQ-5D指数评分为（0.79±0.25）分,通过视觉模拟量表（visual analogue scale,VAS）的评分为（60.76±23.53）分。在行动能力、自我照顾能力、日常活动能力、身体疼痛或不适、焦虑或沮丧五个维度中没有问题的占比分别为86.00%、91.03%、87.18%、75.53%、90.17%。多因素分析显示与老年人生命质量相关的因素有慢性病、体育锻炼、社会网络规模,标准化偏回归系数β'分别为：慢性病（-0.068 3）、锻炼3~4次/周（0.056 6）、锻炼5~7次/周（0.078 2）、日接触10~19人（0.106 5）、日接触20人及以上（0.099 7）。慢性病中与老年人生命质量有关的主要有高血压、糖尿病、缺血性心脏病、胃肠炎,其标准化偏回归系数β'为：-0.085 5、-0.137 2、-0.144 6、-0.065 7（均有P<0.05）。结论 患有慢性病、缺乏锻炼、社会网络少会导致老年人生命质量得分下降。     

The association between frailty and quality of life among rural community-dwelling older adults in Kegalle district of Sri Lanka: a cross-sectional study

Purpose

The objective of this study was to estimate the cross-sectional association of frailty status with overall and domain-specific quality of life (QoL) in rural community-dwelling older adults in Kegalle district of Sri Lanka.

Methods

A population-based cross-sectional study was conducted with 746 community-dwelling older adults aged?≥?60 years living in the rural areas of Kegalle district of Sri Lanka in 2016. A three-stage probability sampling design was used to recruit participants. Frailty and QoL were assessed using the Fried phenotype and Older People’s Quality of Life Questionnaire, respectively. Multivariable linear regression was used to estimate the association of frailty with QoL after accounting for the complex sampling design.

Results

The median (IQR) age of the sample was 68 (64:75) years and comprised of 56.7% women. 15.2% (95% CI 12.4%, 18.7%) were frail and 48.5% (95% CI 43.9%, 53.2%) were pre-frail. The unadjusted means (SE) of the total QoL score for the robust, pre-frail and frail groups were 139.2 (0.64), 131.8 (1.04) and 119.2 (1.35), respectively. After adjusting for covariates in the final multivariable model, the estimated differences in mean QoL were lower for both frail and pre-frail groups versus robust. The estimated reduction in the total QoL score was 7.3% for those frail and 2.1% for those pre-frail. All QoL domains apart from ‘social relationships and participation’, ‘home and neighbourhood’ and ‘financial circumstances’ were associated with frailty.

Conclusions

Frailty was associated with a small but significant lower quality of life in this rural Sri Lankan population, which appears largely explained by ‘health’ and ‘independence, control over life and freedom’ QoL domains. Interventions aiming to improve quality of life in frail older adults should consider targeting these aspects.

     

Health-related quality of life among older adults with arthritis

Background

Health-related quality of life (HRQOL) is a key outcome in arthritis, but few population-based studies have examined the relationship of specific arthritic conditions, such as osteoarthritis (OA) and rheumatoid arthritis (RA) with HRQOL.

Methods

Older adults in Pennsylvania completed a mail version of the Centers for Disease Control and Prevention (CDC) HRQOL modules. Medicare data were used to identify subjects with OA, RA, and no arthritis diagnosis. We compared HRQOL responses among these groups, and we also examined relationships of demographic characteristics to HRQOL among subjects with arthritis.

Results

In analyses controlling for demographic characteristics and comorbidity, subjects with OA and RA had poorer scores than those without arthritis on all HRQOL items, including general health, physical health, mental health, activity limitation, pain, sleep, and feeling healthy and full of energy. HRQOL scores were also lower for those with RA compared to OA. Among individuals with arthritis, all subject characteristics (including age, race, sex, nursing home residence, marital status, income, and comorbid illnesses) were significantly related to at least one HRQOL item. Older age, nursing home residence, and greater comorbidity were the most consistently associated with poorer HRQOL.

Conclusions

Results of this study show that both OA and RA have a significant impact on multiple dimensions of HRQOL among older adults. Results also suggest the CDC HRQOL items are suitable for use among older adults and in mail surveys. Due to the rising number of older adults in many countries, the public health burden of arthritis is expected to increase dramatically. Efforts are needed to enhance access to medical care and disseminate self-management interventions for arthritis.

     

Assessing health numeracy among community-dwelling older adults

Quantitative information occupies a central role within health care decision making. Despite this, numeracy has attracted little research attention. Therefore, the purpose of this study was to (1) describe the health numeracy skill of a nonclinical, Canadian community-based senior population and (2) determine the relationship between health numeracy skill and prose health literacy, education, and math anxiety in this population. A convenience sample of 140 men and women, 50 + years, completed a questionnaire assessing demographic details, math anxiety, functional health literacy (Shortened Test of Functional Health Literacy for Adults STOFHLA), general context numeracy, and health context numeracy skills. Most participants had adequate functional health literacy (prose and numeracy) as measured by the STOFHLA, poorer general context numeracy skill, higher health context numeracy skill, and moderate math anxiety. Approximately 36% of the variation in general context numeracy scores and 26% of the variation in health context numeracy scores were explained by prose health literacy skill (STOFHLA), math anxiety, and attained education. This research offers an initial assessment of health numeracy skills as measured by three existing numeracy scales among a group of independently functioning older Canadian adults. This work highlights the need for clarification of the numeracy concept and refinement of health numeracy assessment instruments. Moreover, identifying patients' numeracy strengths and weaknesses will enable the development of focused numeracy interventions and may contribute to moving individuals further along the continuum of health literacy proficiency.     

Association between physical frailty and quality of life in a representative sample of community-dwelling Swiss older people

Objective

Though the association between physical frailty and health is well established, little is known about its association with other domains of quality of life (QoL). This study investigated the association between physical frailty and multiple domains of QoL in community-dwelling older people.

Design

Cross-sectional study.

Setting and participants

Data of the 2011 annual assessment of 927 older people (age 73-77 years) from the Lc65+ cohort study were used.

Measurements

Physical frailty was assessed by Fried’s five criteria: ‘shrinking’; ‘weakness’; ‘poor endurance, exhaustion’; ‘slowness’; and ‘low activity’. QoL was assessed using 28 items yielding a QoL score and seven domain-specific QoL subscores (Feeling of safety; Health and mobility; Autonomy; Close entourage; Material resources; Esteem and recognition; and Social and cultural life). Low QoL (QoL score or QoL subscores in the lowest quintile) was used as dependent variable in logistic regression analyses adjusted for age and sex (model 1), and additionally for socioeconomic (model 2) and health (model 3) covariates.

Results

Physical frailty was associated with a low QoL score, as well as decreased QoL subscores in all seven specific domains, even after adjusting for socio-economic covariates. However, when performing additional adjustment for health covariates, only the domain Health and mobility remained significantly associated with physical frailty. Among each specific Fried’s criteria, ‘slowness’ had the strongest association with a low QoL score.

Conclusion

Physical frailty is associated with all QoL domains, but these associations are largely explained by poor health characteristics. Longitudinal studies are needed to better understand temporal relationships between physical frailty, health and QoL.

     

Development of a short questionnaire to assess diet quality among older community-dwelling adults

Objective

To evaluate the use of a short questionnaire to assess diet quality in older adults.

Design

Cross-sectional study.

Setting

Hertfordshire, UK.

Participants

3217 community-dwelling older adults (59-73 years).

Measurements

Diet was assessed using an administered food frequency questionnaire (FFQ); two measures of diet quality were defined by calculating participants’ ‘prudent diet’ scores, firstly from a principal component analysis of the data from the full FFQ (129 items) and, secondly, from a short version of the FFQ (including 24 indicator foods). Scores calculated from the full and short FFQ were compared with nutrient intake and blood concentrations of vitamin C and lipids.

Results

Prudent diet scores calculated from the full FFQ and short FFQ were highly correlated (0.912 in men, 0.904 in women). The pattern of associations between nutrient intake (full FFQ) and diet scores calculated using the short and full FFQs were very similar, both for men and women. Prudent diet scores calculated from the full and short FFQs also showed comparable patterns of association with blood measurements: in men and women, both scores were positively associated with plasma vitamin C concentration and serum HDL; in women, an inverse association with serum triglycerides was also observed.

Conclusions

A short food-based questionnaire provides useful information about the diet quality of older adults. This simple tool does not require nutrient analysis, and has the potential to be of value to nonspecialist researchers.

     

Association between frailty and family functionality on health-related quality of life in older adults

Quality of Life Research - To investigate the longitudinal association between frailty and health-related quality of life (HRQoL) in older adults and to examine whether family functionality...     

Health-related quality of life as a predictor of mortality among community-dwelling older persons

Health-related quality of life (HRQOL) measures predict cause-specific mortality, but few studies have explored whether generic self-reported HRQOL measures are independently associated with mortality in community-dwelling older persons. We postulated that a general measure of HRQOL, the short form 36-item questionnaire (SF-36), would be independently predictive of mortality among community-dwelling older persons. To evaluate this hypothesis, we followed a fixed cohort of 4,424 community-dwelling older persons recruited from a 2000 population-based survey in Taiwan until 2003 and investigated whether HRQOL was predictive of 3-year mortality, even after adjusting for traditional clinical risk variables. The data were collected via a door-to-door survey, and interviewers collected information on the subjects’ demographics, medical history, utilization of health services, functional ability, falls, and self-reported physical and mental symptoms. Of the 6053 eligible subjects, 4,424 residents agreed to participate in the baseline survey and were contacted in 2003. During the 3-year period, the 3-year cumulative mortality rate for the study population was 5%. Mortality was significantly higher among males (5.57% vs. 4.27%, p = 0.049), and cumulative mortality increased with age (χ ²-test for trend; χ ² = 7.734, p = 0.001). For all scales except bodily pain, there was a significant relationship between a 10-point lower baseline score and mortality. Our primary multivariate risk model, which included two summary measures of HRQOL and significant clinical variables, demonstrated that a 10-point decrease in either the baseline Physical Component Summary (PCS) score or the baseline Mental Component Summary (MCS) score was associated with higher mortality (PCS: RR: 1.60, 95% CI: 1.39–1.83; p < 0.001; MCS: RR: 1.16, 95% CI: 1.01–1.34; p = 0.036). The findings suggested that low baseline PCS and MCS scores were important independent risk factors for 3-year mortality among community-dwelling older persons, even after adjusting for other risk factors.     

Psychosocial factors and health as determinants of quality of life in community-dwelling older adults

Purpose  

It is important to understand the determinants of differences in quality of life in old age and to include a wide range of possible predictors. The present study investigated the determinants of quality of life in two groups of older adults for whom there was an unusually informative set of possible predictor variables.     

The selection of a screening test for frailty identification in community-dwelling older adults

Background

Frailty in older Chinese has been less often studied and the selection of one screening test feasible in primary care and population survey is needed. We attempted to examine the sensitivity and specificity of each of the five Fried’s criteria as a single screening test in the identification of frailty.

Methods

We recruited 4000 community-dwelling Chinese adults 65 years or older stratified by 3 age-stratum and identified frailty as having 3 or more of Fried’s criteria: underweight(BMI<18.5), handgrip strength(<lowest quintile), walking speed(<lowest quintile), self-reported exhaustion and low physical activity(PASE score<lowest quintile).

Results

The proportion of frailty in the 3 age groups (65–69 years, 70–74 years, 75 years and above) were 2.3%, 3.4% and 11.9% respectively in men and 1.4%, 2.6% and 11.6% in women. Among the 5 criteria, walking speed, grip strength and physical activity (PASE score) divided at their respective lowest quintile values, achieved similar Area Under Curve in the Receiver Operating Characteristics analysis. For walking speed, the sensitivity and specificity were 82.7% and 83.1% in men and 91.9% and 84.5% in women respectively. For grip strength, the corresponding values were 89.5% and 80.6% in men; and 84.5% and 81.9% in women. For physical activity, they were 83.7% and 83.5% in men; and 82.8% and 84.7% in women.

Conclusion

Either walking speed or grip strength measurement may be suitable for frailty screening in primary care or population health survey. A cut-off value of 0.9 m/s in walking speed and 28 kg in grip strength for older men; and a corresponding value of 0.8 m/s and 18 kg for older women is recommended for the screening of frailty in community-dwelling older Chinese adults.     

Association of food insecurity with frailty among older adults in India

Background

Past investigations in different nations have demonstrated that food insecurity may lead to frailty among older adults; however, there is no evidence concerning these associations in India. Our investigation tries to fill this gap utilizing WAVE I of WHO SAGE 2007 information.

Objectives

To examine the independent effect of food insecurity on frailty. To assess differences in frailty and other correlates between food secure and insecure older individuals.

Methods

The Fried phenotype approach was used to create a frailty index using the presence of five indicators among older adults: exhaustion, weight loss, physical activity, weakness, and walking speed. Respondents were called robust, pre-frail, or frail based on the presence of zero, one, or two or more indicators from the five indicators, respectively. Individuals were classified as food insecure based on their responses to two five-point Likert scale-type questions: if they had less food than required because there was not enough food and if they had been hungry but did not eat because they could not afford food in more than 1 or 2 months in the last 12 months. Bivariate analysis was performed to determine the differences in all the correlates and frailty among older adults with food security and insecurity. Step-by-step logistic regression analysis was performed to estimate the effect of food insecurity on frailty.

Results

Bivariate results show that from a total of 6650 adults aged 50 years or older, 16.05% are food insecure, and of them, 19% are frail. In addition, frailty is significantly associated with food insecurity (p < 0.001). These findings are further corroborated by multivariate analysis results showing that food insecure older adults have higher odds of being frail compared to their counterparts (OR = 1.31, 95% CI 1.10; 1.65, P < 0.001) in the adjusted model for all the correlates. Education and wealth are also among major factors aggravating frailty among older adults.

Conclusion

Based on our results, we conclude that, after controlling for correlates, food insecurity is associated with frailty, which further prevents older adults from accessing nutritious food and causes them to lose their independence. Thus, the government needs to introduce focused sustenance programs for the elderly population who do not have regular access to food and are frail to prevent early disability and mortality.

     

The structure of self-rated health among community-dwelling older adults with stroke

OBJECTIVE: To examine whether depressive symptomatology is a third fundamental component of the structure of self-rated health, in addition to two other components (physical disease and functional disability) among community-dwelling older adults with stroke. DATA SOURCES AND STUDY SETTING: A total of 591 community-dwelling older adults with stroke were identified from the 1993 Asset and Health Dynamics among the Oldest-Old (AHEAD) national survey of community-dwelling older adults. STUDY DESIGN: A cross-sectional study. Structural equation modeling was applied to compare a widely used two-factor model of self-rated health with a model adding depression as a third possible factor. PRINCIPLE FINDINGS: The hypothesized three-factor model explained additional 21% more variance of self-rated health of older adults with stroke (R2 = 79%, NNFI = 0.95, CFI = 0.96, RMSEA = 0.04) as compared with the two-factor biomedical model (R2 = 58%, NNFI = 0.95, CFI = 0.98, RMSEA = 0.05). The three-factor model was statistically different from the two-factor model. CONCLUSIONS: Greater attention should be given to the theoretical structure of self-rated health of older adults with stroke, particularly, the significant impact of depression on their self-rated health.     

Frailty predicts trajectories of quality of life over time among British community-dwelling older people

Purpose

To investigate associations between baseline frailty status and subsequent changes in QOL over time among community-dwelling older people.

Methods

Among 363 community-dwelling older people ≥65 years, frailty was measured using Frailty Index (FI) constructed from 40 deficits at baseline. QOL was measured using Older People’s Quality of Life Questionnaire (OPQOL) six times over 2.5 years. Two-level hierarchical linear models were employed to predict QOL changes over time according to baseline frailty.

Results

At baseline, mean age was 73.1 (range 65–90) and 62.0 % were women. Mean FI was 0.17 (range 0.00–0.66), and mean OPQOL was 130.80 (range 93–163). The hierarchical linear model adjusted for age, gender, ethnicity, education, and enrollment site predicted that those with higher FI at baseline have lower QOL than those with lower FI (regression coefficient = ?47.64, p < 0.0001) and that QOL changes linearly over time with slopes ranging from 0.80 (FI = 0.00) to ?1.15 (FI = 0.66) as the FI increases. A FI of 0.27 is the cutoff point at which improvements in QOL over time change to declines in QOL.

Conclusions

Frailty was associated with lower QOL among British community-dwelling older people. While less frail participants had higher QOL at baseline and QOL improved over time, QOL of frailer participants was lower at baseline and declined.

     

The prediction of quality of life by physical,psychological and social components of frailty in community-dwelling older people

Purpose

To assess the predictive validity of the 15 components of the Tilburg Frailty Indicator (TFI), a self-report questionnaire, for quality of life domains physical health, psychological, social relations and environmental in community-dwelling older persons in a longitudinal study.

Methods

The predictive validity of the components of the TFI was tested in a sample of 484 community-dwelling persons aged 75 years and older in the Netherlands in 2008 (response rate 42 %). A subset of all respondents participated two years later, in 2010 (n = 261, 54 %), and a subset of these respondents participated again in 2012 (n = 196, 75 %). The WHOQOL-BREF was used for measuring four quality of life domains.

Results

Four physical frailty components (physical unhealthy, difficulty in maintaining balance, difficulty in walking and physical tiredness), one psychological frailty component (feeling down) and one social frailty component (lack of social support) predicted future scores on quality of life domains, even after controlling for background characteristics and diseases.

Conclusion

This longitudinal study showed that quality of life is predicted by physical as well as psychological and social frailty components. This finding emphasizes the relevance of a multidimensional assessment of frailty. To improve quality of life of older persons, special attention should go to the screening and subsequent interventions focusing on the frailty components difficulty in walking, feeling down and lack of social support.     

Determinants of quality of life in community-dwelling older adults: comparing three cut-offs on the excellent-to-poor spectrum

Purpose

The aim of this study was to identify modifications in health, economic and social determinants of quality of life (QoL) in community-dwelling older adults when using different cut-offs to defining favorable QoL.

Methods

Data of year 2011 annual assessment in 1003 older men and women from the Lc65+ cohort study were used. Overall QoL was self-rated as ‘excellent,’ ‘very good,’ ‘good,’ ‘fair,’ or ‘poor.’ To identify significant health (self-rated health, SF-12v2 physical and mental health), economic (financial situation), and social (living with others, being socially supported, emotional support, group activities participation) determinants of QoL, a cut-off was set at three different positions to define favorable QoL on the ‘excellent’ to ‘poor’ spectrum: at least ‘good’ (model 1); at least ‘very good’ (model 2); and ‘excellent’ only (model 3).

Results

In all three models, bivariable analyses indicated significant associations between QoL and at least one variable from each health, economic, and social dimension. In multivariable analyses, only health-related variables remained significantly associated with QoL in model 1. Model 3 additionally retained financial situation. In model 2, QoL was positively associated with physical health [odds ratio (OR) 1.10, p < 0.001], mental health (OR 1.12, p < 0.001), self-rated health (OR 2.43, p < 0.001), group activities participation (OR 1.43, p = 0.037), being socially supported (OR 1.58, p = 0.024), and not reporting financial difficulties (OR 1.76; p = 0.036).

Conclusions

Using different cut-offs to defining favorable QoL results in important changes in the number and type of significant health, economic and social determinants. A cut-off between ‘good’ and ‘very good’ appears to best reflect the multidimensional nature of QoL.

     

What does quality of life mean to older frail and non-frail community-dwelling adults in the Netherlands?

Quality of life is a commonly used but seldom defined concept and there is no consensus on how to define it. The aim of this study was to explore the meaning of quality of life to older frail and non-frail persons living in the community. Qualitative interviews were conducted with 25 older men and women. The audio-taped interviews were transcribed and coded for content and analyzed using the grounded-theory approach. Five themes emerged: (physical) health, psychological well-being, social contacts, activities, and home and neighborhood. Factors that influenced quality of life were having good medical care, finances and a car. Respondents compared themselves mostly to others whose situation was worse than their own, which resulted in a satisfactory perceived quality of life. However, the priorities of the domains of quality of life were observed to change. Moreover, the health of the frail limited the amount and scope of activities that they performed. This led to a lower quality of life perceived by the frail compared to the non-frail.