The association between sociodemographic factors, frailty, and health-related quality of life in older inpatients: a cross-sectional study

Systematic review and meta-analysis of the prevalence of frailty and pre-frailty amongst older hospital inpatients in low- and middle-income countries

BACKGROUND

As populations age, low- and middle-income countries (LMICs) are rapidly adapting hospital services to meet the needs of older populations. This systematic review aimed to establish the prevalence of frailty and pre-frailty amongst older people admitted to hospital in LMICs, and to compare levels with existing estimates for high-income settings.

METHODS

Databases Medline, Embase, CINAHL and PsychInfo were searched, and results were manually screened by two researchers. Included studies were cross-sectional or cohort design and reported data from hospital inpatients, aged ≥60 years, in LMICs, using validated methods for identifying frailty. Risk of bias was assessed by two researchers using the Joanna Briggs Institute checklist. Where possible, results were synthesised using meta-analysis.

RESULTS

Twenty-nine studies were included, all reporting data from middle-income countries. Physical frailty tools were the most common, with Fried's phenotype and the FRAIL Scale being the most often used methods of assessment. The pooled estimate of the prevalence of frailty was 39.1% [95% confidence interval (CI) 31.9-46.6%] comprising data from 23 311 older inpatients. For pre-frailty, prevalence was 40.0% (95% CI 25.1-51.4%) from 6954 individuals.

DISCUSSION

Due to the paucity of eligible studies and their geographical distribution, these pooled estimates are only representative of the burden of frailty in select middle-income settings (particularly China). Future research should seek to establish the prevalence of frailty in hospitals in low-income countries, and to assess clinical outcomes by frailty status, in order to develop bespoke clinical tools and to aid the planning of future geriatric services.

The relationship between sleep quality and quality of life in middle-aged and older inpatients with chronic diseases: Mediating role of frailty and moderating role of self-esteem

OBJECTIVE

This study aimed to investigate the influence of sleep quality on the quality of life in middle-aged and older inpatients with chronic diseases (MAOICDs) while examining the mediating role of frailty and the moderating role of self-esteem.

METHODS

This study utilized a cross-sectional design. Between October 2021 and February 2022, we administered questionnaires to 319 subjects at the Second Hospital of Zhejiang University School of Medicine, Zhejiang Province, China. The questionnaire consisted of the General Information Scale, the Cumulative Disease Rating Scale, the Sleep Quality Questionnaire, the Frailty Scale, the Self-Esteem Scale, and the Quality of Life Questionnaire. Data were analyzed using SPSS 25.0 software and PROCESS3.5 macros for descriptive statistics, correlation analysis, and tests for mediating and moderating effects.

RESULTS

The results of this study suggest that sleep quality is negatively related to quality of life and mediated by frailty. Self-esteem plays a moderating role in the relationship between frailty and quality of life.

CONCLUSION

Frailty mediates the relationship between sleep quality and quality of life. Meanwhile, self-esteem plays a moderating role in the relationship between frailty and life quality. Specifically, the correlation between frailty and life quality becomes stronger at higher levels of self-esteem. Therefore, to improve the life quality of MAOICDs, interventions should focus not only on enhancing sleep quality and reducing frailty but also on helping patients maintain an appropriate level of self-esteem.

Factors Associated with Medication Adherence among Community-Dwelling Older People with Frailty and Pre-Frailty in China

BACKGROUND

Frail and pre-frail older people often need to take medications. However, factors related to medication adherence among this population remain unclear, warranting further research. This study aims to identify correlates of medication adherence among frail and pre-frail older adults.

METHODS

From November 2020 to December 2020; a total of 4218 community-dwelling residents aged ≥ 60 years were interviewed by a cross-sectional survey in China. Data on subjects' general information; medication adherence; and frailty status was obtained via the face-to-face structured questionnaire. Logistic regression models were fitted; separately; to examine these factors linked to medication adherence.

RESULTS

We found that 36.2% (n = 1527) and 18.8% (n = 792) of respondents were classified as pre-frail and frail. According to the Morisky scale scores, 66.74% (n = 2815) were found to have adequate medication adherence, and 33.26% (n = 1403) were found to have inadequate medication adherence. Among the pre-frail respondents, age (adjusted odds ratio (AOR) = 1.64; 95% confidence interval (CI): 1.18-2.29, P = 0.003), marital status (AOR = 1.52; 95% CI: 1.04-2.21, P = 0.030), smoking status (AOR = 0.61; 95% CI: 0.37-0.99, P = 0.044), and functional ability (AOR = 0.72; 95% CI: 0.58-0.91, P = 0.006) were significantly related to medication adherence. Among them, advanced age and single were risk factors, which were positively related to the medication adherence of subjects in pre-frailty, while quitting smoking and limited functional ability contributed to improving their medication adherence. In contrast, only age (AOR = 1.77; 95% CI: 1.16-2.69, P = 0.008) was significantly associated with medication adherence among frail subjects.

CONCLUSION

Influencing factors to medication adherence of old people in pre-frailty and frailty have been enriched, which provides a certain reference for promoting medication adherence in this population. Future adherence intervention methods should be designed based on these factors.

Research on the frailty status and adverse outcomes of elderly patients with multimorbidity

Background

As patients age, the frailty of those with multimorbidity increases, often resulting in adverse health outcomes. The current study investigated the frailty status and the factors which influence it in elderly patients with multimorbidity in Chinese hospitals. The relationship between the frailty of patients with multimorbidity and adverse outcomes was explored.

Methods

The current prospective cohort study investigated inpatients in the internal medicine department of 5 tertiary hospitals in Sichuan Province, China. A total of 3836 elderly patients with multimorbidity were enrolled. Frailty was assessed using the FRAIL scale and adverse outcome events occurring during hospitalization were tracked. Descriptive statistics and logistic regressions were used for data analysis.

Results

The prevalence of frailty was 27.2% and of pre-frailty, 58.9%. Logistic regression analysis showed that increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were the main risk factors for frailty in elderly patients with multimorbidity (OR values: 1.020, 1.469, 2.350, 2.836, 1.156 and 1.308, respectively). The incidence of adverse outcomes was 13.9% among the cohort with the most common being deep vein thrombosis (42.4%), followed by pressure injury (38.8%). Regression analysis showed a significant correlation of frailty with adverse outcome (OR: 1.496; p < 0.01).

Conclusions

The prevalence of frailty and pre-frailty in hospitalized elderly patients with multimorbidity was high. Increasing age, low BMI, low education level, lack of exercise, multiple types of medications and multiple numbers of chronic diseases were factors which influenced frailty and frailty was an important factor in the occurrence of adverse outcomes. The most common adverse outcome of elderly multimorbidity patients during hospitalization was deep vein thrombosis.

Consistency in the prevalence and associated factors of frailty determined by two instruments among hospitalised older adults: A cross-sectional study

AIMS AND OBJECTIVES

To investigate the consistency in the prevalence and associated factors of frailty determined by the physical-originated Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (FRAIL) scale and the multidimensional Tilburg Frailty Indicators (TFI) scale.

BACKGROUND

Accurate assessment of frailty and the identification of its associated factors could guide the development and implementation of holistic and individualised treatment plan. However, recommendations regarding the selection of frailty assessment tools are inconclusive.

DESIGN

This is a cross-sectional study, the reporting of which followed the STROBE guidelines.

METHODS

A total of 1220 older adults were recruited from a university affiliated tertiary hospital in Xi'an City, Northwest China, and administrated with a social-demographic and health-related information sheet, the FRAIL, the TFI, the Short-Form Mini-Nutritional Assessment, the Pittsburgh Sleep Quality Index and the 5-level EuroQol 5 dimensions questionnaire. Descriptive statistics and binary logistic regression analysis were used to investigate the prevalence of frailty and its associated factors.

RESULTS

The prevalence of physical-originated and multidimensional frailty was 55.2% and 77.6%, respectively. The consistency between the two scales was low. Taking the combined use of the two instruments as the reference, the TFI and FRAIL could identify 89.99% and 64.02% of the participants with frailty. Polypharmacy, health-related quality of life and sleep quality were found to be associated with both physical-originated and multidimensional frailty. Nutritional status and level of physical activity were additionally identified as the independent associated factors of multidimensional frailty.

CONCLUSIONS

The prevalence of frailty among hospitalised older adults is high. There is low consistency between the FRAIL and TFI in detecting frailty. The TFI exhibited higher sensitivity in detecting individuals with frailty and its associated factors.

RELEVANCE TO CLINICAL PRACTICE

The findings of this study supported a single use of the TFI for the assessment of frailty in the hospital setting.

Examining the links between regular leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults

AIMS

To examine the relationship between leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults.

DESIGN

Cross-sectional study.

METHODS

Between February and July 2019, 539 individuals over age 60 were recruited in northern Taiwan. Demographic, medical history, physical activity and frailty data were analysed using descriptive statistics, chi-square tests and logistic regression.

RESULTS

The prevalence of prefrailty was 24.4%; 33.2% had regular leisure-time physical activity, and 14.7% reported >6 hrs daily sitting time. Compared with individuals having regular leisure-time physical activity and shorter sitting times (daily average ≤6 hrs), those having no regular leisure-time physical activity and also shorter sitting times (adjusted OR, 1.80; 95% CI, 1.12, 2.92), or those also having regular leisure-time physical activity but longer sitting times (adjusted OR, 4.42; 95% CI, 2.22, 8.79) had an increased prefrailty risk.

CONCLUSIONS

Having no regular leisure-time physical activity or longer sitting times is associated with a higher risk of prefrailty. For sedentary older adults to prevent prefrailty, they can become more active, sit less or better yet, commit to both.