Are multimorbidity patterns associated with fear of falling in community-dwelling older adults?

Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI

BACKGROUND

Depression has a detrimental effect on an individual's mental and musculoskeletal strength multiplying the risk of fall incidents. The current study aims to investigate the association between depression and falls in older adults using machine learning (ML) approach and identify its various predictors.

METHODS

Data for the study was derived from the Longitudinal Ageing Study in India, (LASI) conducted in 2017-18 for people aged 45-years and above. The study was carried out on 44,066 individuals. Depression was measured using the CIDI-SF scale. Bivariate cross-tabulations were used to study the prevalence of falls. And its association with depression and other independent factors were assessed using the novel ML, the Conditional inference trees (CIT) method.

RESULTS

Around 10.8 percent of older adults had fall incidents. CIT model predicted region to be a significant predisposing factor for an older adult to experience falls. Multimorbidity, depression, sleep problems, and gender were other prominent factors. The model predicted that, among depressed older adults, falls incidents were around 80 percent higher than non-depressed.

CONCLUSIONS

An association between falls and depression was observed. Depressive symptoms were associated with an increased risk of falls, even after controlling for other co-factors. The CIT method leveraged us to select the most important variables to predict falls with great precision. To prevent and manage falls among the expanding and diverse older-aged population, a multilevel and cross-sectoral approach is required. Mental health, especially depression, should be dealt with greater precautions. Public health enthusiasts should focus on the physical as well as mental health of the country's older adult population.

Caring for the "Osteo-Cardiovascular Faller": Associations between Multimorbidity and Fall Transitions among Middle-Aged and Older Chinese

Background: It is still uncertain how multimorbidity patterns affect transitions between fall states among middle-aged and older Chinese. Methods: Data were obtained from China Health and Retirement Longitudinal Study (CHARLS) 2011-2018. We utilized latent class analysis to categorize baseline multimorbidity patterns, Markov multi-state model to explore the impact of multimorbidity characterized by condition counts and multimorbidity patterns on subsequent fall transitions, and Cox proportional hazard models to assess hazard ratios of each transition. Results: A total of 14,244 participants aged 45 years and older were enrolled at baseline. Among these participants, 11,956 (83.9%) did not have a fall history in the last 2 years, 1,054 (7.4%) had mild falls, and 1,234 (8.7%) had severe falls. Using a multi-state model, 10,967 transitions were observed during a total follow-up of 57,094 person-times, 6,527 of which had worsening transitions and 4,440 had improving transitions. Among 6,711 multimorbid participants, osteo-cardiovascular (20.5%), pulmonary-digestive-rheumatic (30.5%), metabolic-cardiovascular (22.9%), and neuropsychiatric-sensory (26.1%) patterns were classified. Multimorbid participants had significantly higher risks of transitions compared with other participants. Among 4 multimorbidity patterns, osteo-cardiovascular pattern had higher transition risks than other 3 patterns. Conclusions: Multimorbidity, especially the "osteo-cardiovascular pattern" identified in this study, was associated with higher risks of fall transitions among middle-aged and older Chinese. Generally, the effect of multimorbidity is more significant in older adults than in middle-aged adults. Findings from this study provide facts and evidence for fall prevention, and offer implications for clinicians to target on vulnerable population, and for public health policymakers to allocate healthcare resources.

Predictors of frailty after cardiovascular surgery and the relationship between frailty and postoperative recovery: A cross-sectional study

AIM

To investigate the factors affecting postoperative frailty and the relationship between frailty and postoperative recovery in patients undergoing cardiovascular surgery.

DESIGN

The study was descriptive, cross-sectional, and predictive.

METHODS

Data were collected by researchers in a university research and application hospital cardiovascular surgery inpatient clinic between March 2022 and March 2023. Sociodemographic-Clinical Characteristics Form, Comorbidity Index, Edmonton Frail Scale, Postoperative Recovery, and Nutritional Risk Screening were used to collect the data.

RESULTS

Of the 145 patients included in the study, 65.51% (n = 95) were male and the mean age was 62.02 ± 10.16 years. While frailty was not found to be significant by age group, it was found that women had more comorbidities and were more frail than men. It was found that 17.2% (n = 25) of patients had a history of falls before surgery, 26.2% (n = 38) had a fear of falling after surgery and 17.24% (n = 25) had rehospitalisations. While postoperative recovery index predicted fraility by 34% in patients undergoing cardiovascular surgery; general symptoms and psychological symptoms, which are the sub-dimensions of the postoperative recovery index and comorbidity and, fear of falling after surgery predicted frailty by 61%. The order of importance of variables on fraility: general symptoms (β = 0.297), fear of falling (β = 0.222), psychological symptoms (β = 0.218), Charlson Comorbidity Index (β = 0.183).

PATIENT OR PUBLIC CONTRIBUTION

This study clarifies the role of frailty as an important factor influencing the recovery process in patients undergoing cardiovascular surgery. The findings show that frailty has a determining effect on postoperative recovery in these patients. Among the factors affecting frailty status, comorbidities, fear of postoperative falls, and postoperative general and psychological symptoms were found to contribute. These findings emphasise that these factors should be taken into account when assessing and managing the postoperative recovery process. Understanding these factors that influence postoperative frailty is crucial for patient care. Recognising the multifaceted nature of frailty, personalised interventions are needed to improve patient care and postoperative outcomes. Personalised interventions are particularly important for older women with multiple comorbidities, as they are more likely to be frail.

Association between Multimorbidity and Risk of Falls and Fear of Falling among Older Adults: The Mediation Effect of Physical Function, Use of Sleeping Pills, and Pain Relievers

OBJECTIVE

Falls and fear of falling (FoF) are relevant contributors to disability and institutionalization among older adults. The aim was to examine the association between multimorbidity and falls/FoF among community-dwelling older adults, exploring the mediating effect of physical function and the use of sleeping pills and pain relievers.

DESING

Longitudinal analyses.

SETTING AND PARTICIPANTS

A total of 1824 adults aged ≥65 years from the Seniors-ENRICA II cohort (Spain).

METHODS

Multimorbidity was defined as having ≥2 diseases from a predefined list of 13 chronic conditions extracted from clinical records. Falls were self-reported and FoF was estimated using the Short Falls Efficacy Scale International. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for the association between multimorbidity/duration of multimorbidity and incident falls/FoF using logistic regression models. The mediating effects of physical function, the use of sleeping pills, and pain relievers were explored using the Karlson Holm Breen method.

RESULTS

Multimorbidity was associated with a higher risk of falls (OR, 1.44; 95% CI, 1.14-1.82) and FoF (OR, 1.88; 95% CI, 1.48-2.39). Positive dose-response associations were found between the duration of multimorbidity and the risk of falls (P-trend = .003) and FoF (P-trend = .001). Physical function mediated 5.67% and 5.25% of these associations, respectively, and the use of sleeping pills explained a larger proportion of the associations (9.27% and 11.61%). Last, the mediation effect of pain relievers on the association between multimorbidity and falls was 3.05% and 9.31% in the multimorbidity-FoF association.

CONCLUSIONS AND IMPLICATIONS

Multimorbidity was associated with a higher risk of falls/FoF among Spanish community-dwelling older adults. Use of sleeping pills was a relevant mediator, suggesting that interventions on sleep problems have the potential to reduce the burden of falls/FoF and their consequences among older adults with multimorbidity.

Moving the needle on implementing fall prevention programs in Saudi Arabia: assessing knowledge and perceptions of fall risk among community-dwelling older women

BACKGROUND

Saudi Arabia, like many nations globally, is experiencing a demographic shift towards an aging population. With this demographic shift, falls and the fear of falling (FOF) emerge as serious public health concerns among community-dwelling older adults. Addressing misconceptions and enhancing awareness regarding fall risks among older adults holds significant importance, offering insights for informing targeted interventions and enhancing well-being. This study aimed to examine knowledge and perceptions of fall risk among community-dwelling older women in Saudi Arabia.

METHODS

A cross-sectional study was conducted with 150 Saudi older women, with a mean age (SD) of 63.98 (4.90) years. Participants completed questionnaires assessing fall history, fall knowledge, fall perception, the Falls Efficacy Scale-International (FES-I), Timed Up and Go (TUG), and the Barthel Index. Fall knowledge and perception were assessed using previously constructed statements translated into Arabic and carried out in interviewer-administered forms.

RESULTS

Nearly half of the participants reported experiencing at least one fall in the previous 12 months. Despite good knowledge of falls, some gaps were identified, particularly regarding the awareness of social isolation as a consequence of falls. Participants demonstrated positive perceptions towards fall prevention programs but also highlighted misconceptions regarding aging and falls. FOF was prevalent, with higher levels identified among participants without a history of falls.

CONCLUSION

Multidimensional strategies are needed to address falls and FOF among community-dwelling older women in Saudi Arabia. Leveraging existing knowledge and perceptions towards fall prevention and implementing evidence-based interventions can reduce the burden of falls and enhance health outcomes in older adults. Future research should focus on diverse samples and evaluate the feasibility of implementing fall prevention interventions within Saudi Arabia's healthcare systems.

The association of cardiometabolic multimorbidity and fear of falling among older adults: Data from the national health and aging trends study

OBJECTIVES

Cardiometabolic diseases (CMDs) have been individually associated with fall-related outcomes, but their combined effect on fear of falling (FOF) has not been investigated. This study aims to examine the association between cardiometabolic multimorbidity and FOF in older adults.

METHODS

Data from the National Health and Aging Trends Study, 4,295 community-dwelling older adults ≥ 65 years were analyzed in this longitudinal study. CMDs were assessed at baseline, including heart disease, diabetes, stroke, and hypertension. FOF was evaluated by asking participants if they worried about falling in the past month. Data were analyzed using multi-adjusted logistic regression.

RESULTS

Cardiometabolic multimorbidity was associated with a higher risk of FOF. The combination of heart disease and diabetes showed the highest risk of FOF (OR = 3.47, 95 % CI: 1.63-7.40).

CONCLUSIONS

These findings underscore the need for targeted interventions to mitigate the combined impact of cardiometabolic multimorbidity on FOF in older adults.

Fear of Falling: Exploring Associated Factors among Elderly Residents in the Rural Communities of Vietnam

This research aimed to explore factors associated with the fear of falling (FOF) among community-dwelling older adults in Vietnam. A cross-sectional study was conducted in five communes in Soc Son, Hanoi, Vietnam, from March to June 2017. We recruited a total of 487 participants, which provided sufficient data for analysis. The outcome variable was fear of falling. Several covariates, including demographics, medical history, general health status, geriatric syndromes, eye diseases, assessment of fall risk environment, timed up-and-go test, and number of standing up in 30 s, were collected. A multivariable logistic regression model was performed to determine predictors associated with FOF. The results showed that 54.6% of the participants had FOF. Furthermore, the logistic multivariable regression model revealed several factors associated with FOF among participants in the research sites, including polypharmacy status (OR: 1.79; 95%CI 1.07-2.99), higher scores in quality of life according to the EQ-5D-5L index (OR:6.27; 95%CI: 2.77-14.17), and having fallen during the past 12 months (OR:4.4; 95%CI: 2.39-8.11). These findings contribute to a comprehensive understanding of the intricate relationship between FOF and several associated factors, notably polypharmacy status, quality of life, and having a fall during the past 12 months.

Multiple Long-Term Conditions and Disability are Independently Associated with Higher Risk of Fall Among Community Adults: a Cross-Sectional Study

Background

Previous studies have suggested an association between falls and the presence of Multiple Long-Term Conditions (MLTC) or disabilities. However, there is limited understanding of how these factors independently or collectively contribute to the risk of falls and fear of falling among community-dwelling adults.

Objective

This study examined the independent association between MLTC and the presence of disability with the risk of falls among community adults.

Methods

A cross-sectional study included 324 adults (age ≥ 50). Demographic and clinical data included age, sex, body mass index (BMI), MLTC (≥ two chronic diseases) risk of fall (ie, history of fall in the previous 12-months, number of falls, and recurrent falls). The Barthel Index and Falls Efficacy Scale-International (FES-I) were used to assess disability and fear of fall, respectively.

Results

MLTC (Odds Ratio (OR) 2.50, 95% Confidence Interval (CI) [1.26, 4.95], p=0.009), and disability (OR 1.71, 95% CI [1.04, 2.79], p = 0.034) were independently associated with history of falls. MLTC (Incidence Rate Ratio (IRR) 2.87, 95% CI [1.93, 4.29], p < 0.001) and disability (IRR 1.86 95% CI [1.46, 2.36], p < 0.001) were independently associated with an increased number of falls. MLTC (OR 4.50, 95% CI [1.78, 11.36], p = 0.001) and disability (OR 2.82, 95% CI [1.58, 5.05], p < 0.001) were independently associated with recurrent falls. MLTC (B = 6.45, p < 0.001) and disability (B = 3.05, p = 0.025) were independently associated with increased fear of falling.

Conclusion

This study indicated that both MLTC and disability are independently associated with falls, number of falls and fear of falling in this population.

The global prevalence of and risk factors for fear of falling among older adults: a systematic review and meta-analysis

BACKGROUND

As a common psychological problem among older adults, fear of falling was found to have a wide range prevalence in different studies. However, the global prevalence of it was unknown and a lack of the large sample confirmed its risk factors.

OBJECTIVES

To report the global prevalence of fear of falling and to explore its risk factors among older adults for further developing precise interventions to systematically manage FOF.

DESIGN

A systematic review and meta-analysis was conducted by PRISMA guidelines.

METHODS

Searches were conducted in PubMed, Web of Science, EMBASE, the Cochrane Library and the manual search in August 20, 2022, updated to September 2, 2023. Observational studies published in English were included and two researchers independently screened and extracted the data. Fixed or random effects mode was used to estimate the pooled prevalence of and risk factors for fear of falling. Heterogeneity resources were analyzed by subgroup and sensitivity analysis. Publication bias was assessed through funnel plots, Egger's test and Begg's test.

RESULTS

A total of the 153 studies with 200,033 participants from 38 countries worldwide were identified. The global prevalence of fear of falling was 49.60%, ranging from 6.96-90.34%. Subgroup analysis found the estimates pooled prevalence of it was higher in developing countries (53.40%) than in developed countries (46.7%), and higher in patients (52.20%) than in community residents (48.40%). In addition, twenty-eight risk factors were found a significant associations with fear of falling, mainly including demographic characteristics, physical function, chronic diseases and mental problems.

CONCLUSION

The global prevalence of FOF was high, especially in developing countries and in patients. Demographic characteristics, Physical function, chronic diseases and mental problems were a significant association with FOF. Policy-makers, health care providers and government officials should comprehensively evaluate these risk factors and formulate precise intervention measures to reduce FOF.

TRIAL REGISTRATION

The study was registered in the International Database of Prospectively Registered Systematic Reviews (PROSPERO): CRD42022358031.

Fear of falling and associated factors in older adults with heart failure

BACKGROUND

This study aimed to evaluate the prevalence of fear of falling and associated factors in older adults with heart failure.

METHODS

A prospective, cross-sectional study. The study included 100 geriatric patients who were hospitalised and treated in the cardiology department of our hospital with ventricular ejection fraction (LVEF) lower than 50% for at least 1 year. A series of geriatric assessments were performed by face-to-face interview on the day of admission. Electrocardiography (ECG) and transthoracic echocardiography (TTE) were also performed on the day of admission.

RESULTS

The median age of the patients was 72 years, and 72.0% were men. Falls Efficacy Scale scores indicated a fear of falling in 46 (46.0%) of the patients. Charlson Comorbidity Index (CCI) was significantly higher in patients with fear of falling (P < 0.001). Severe depression, severe clinical insomnia, daytime sleepiness, and malnutrition were significantly more frequent among patients with fear of falling. Fear of falling was associated with significantly lower LVEF (P = 0.001). The presence of severe depression increased the risk of fear of falling by 13.97 times (95% CI: 3.064-63.707; P = 0.001), and the presence of daytime sleepiness increased the risk by 3.49 times (95% CI: 1.012-12.037; P = 0.048). A one-unit increase in CCI increased the risk of fear of falling by 1.56 times (95% CI: 1.093-2.238; P = 0.014).

CONCLUSIONS

Heart failure patients with concomitant depression, sleep disorders, and high comorbidities have greater fear of falling.

Nursing Interventions to Empower Family Caregivers to Manage the Risk of Falling in Older Adults: A Scoping Review

Falls pose a significant risk to older adults, resulting in injuries and declining quality of life. The psychological impact, particularly the fear of falling, impairs their well-being. This pervasive fear affects daily activities, leading to self-imposed limitations and reduced engagement. This review aimed to identify nursing interventions to empower family caregivers to manage the risk of falling in older adults. A scoping review was developed following the JBI framework. We searched the CINAHL, MEDLINE, Nursing & Allied Health Collection, Cochrane Central Register of Controlled Trials, MedicLatina, and Cochrane Database of Systematic Reviews. The findings of this review revealed that out of 460 initially identified records, nine articles met the eligibility criteria and were retained for further in-depth analysis. These articles provided insights into nine distinct categories of nurse interventions: Therapeutic Relationships, Family Involvement, Personalized Care, Health Education, Multifactorial Falls Risk Assessment, Home Modifications, Referral, Transition Between Healthcare Services, and Health Care Consultants. The findings of this review have significant implications for clinical practice, particularly in emphasizing the crucial role of nurses in empowering family caregivers and older adults to manage the risk of falling at home. Healthcare professionals, policymakers, and researchers can benefit from this informative resource to develop strategies and guidelines.

Fall prevention by reactive balance training on a perturbation treadmill: is it feasible for prefrail and frail geriatric patients? A pilot study

PURPOSE

Prefrail and frail geriatric patients are at high risk of falling. Perturbation-based balance training on a treadmill appears to be highly effective, but there are no studies in prefrail and frail geriatric hospital patients. The aim of the work is to characterize the study population in whom reactive balance training on a perturbation treadmill was feasible.

METHODS

The study is recruiting patients with at least one fall event in the past year (age ≥ 70). The patients complete a minimum of 60-min treadmill training with/without perturbations on at least 4 occasions.

RESULTS

Until now, 80 patients (mean age 80 ± 5) took part in the study. More than half of the participants had some cognitive impairment with < 24 pts. (median MoCA 21 pts.), 35% were prefrail and 61% were frail. The drop-out rate was initially 31% and was reduced to 12% after adding a short pre-test on the treadmill.

CONCLUSION

Reactive balance training on a perturbation treadmill is feasible for prefrail and frail geriatric patients. Its effectiveness in fall prevention in this population needs to be proven.

TRIAL REGISTRATION

German Clinical trial register (DRKS-ID: DRKS00024637 on 24.02.2021).

Perceived Characteristics of the Built Neighborhood Environment and Negative Self-Rated Health in Brazilian Community-Dwelling Older Adults

INTRODUCTION

Research indicates that self-rated health is associated with worse health outcomes in older adults. Thus, it is important to assess the association between built neighborhoods and self-rated health to establish strategies to improve the quality of life in the older adult population.

OBJECTIVE

To evaluate the association between the perceived characteristics of the built neighborhood and the negative self-rated health in Brazilian community-dwelling older adults.

METHODS

A cross-sectional study for finite random samples was performed with older adults who used the municipal public health service. The outcome was negative self-rated health using the question "How do you perceive your health?" The regular, bad, and very bad responses were grouped as negative self-perception. The exposure variables were the perceived characteristics of the built neighborhood, which was evaluated by the adapted version of the Neighborhood Environment Walkability Scale.

RESULTS

A total of 308 older adults were analyzed. Living close to food establishments (OR: 0.46; 95% CI: 0.25;0.85), fitness/bodybuilding gyms and/or clubs (OR: 0.51; 95% CI: 0.28;0.93), and safety to walk during the day (OR: 0.37; 95% CI: 0.16;0.87) and night (OR: 0.47; 95% CI: 0.26;0.84) were protective against negative self-rated health.

CONCLUSION

Therefore, living in neighborhoods with better characteristics was less associated with negative self-rated health, demonstrating the importance of promoting strategies to improve the neighborhood infrastructure and this population's perception of health.

Sociodemographic and lifestyle determinants of multimorbidity among community-dwelling older adults: findings from 346,760 SHARE participants

BACKGROUND

This study aimed to investigate the prevalence of multimorbidity and its associated factors among the older population in China to propose policy recommendations for the management of chronic diseases in older adults.

METHODS

This study was conducted based on the 2021 Shenzhen Healthy Ageing Research (SHARE), and involved analysis of 346,760 participants aged 65 or older. Multimorbidity is defined as the presence of two or more clinically diagnosed or non self-reported chronic diseases among the eight chronic diseases surveyed in an individual. The Logistic analysis was adopted to explore the potential associated factors of multimorbidity.

RESULTS

The prevalences of obesity, hypertension, diabetes, anemia, chronic kidney disease, hyperuricemia, dyslipidemia and fatty liver disease were 10.41%, 62.09%, 24.21%, 12.78%, 6.14%, 20.52%, 44.32%, and 33.25%, respectively. The prevalence of multimorbidity was 63.46%. The mean count of chronic diseases per participant was 2.14. Logistic regression indicated that gender, age, marriage status, lifestyle (smoking status, drinking status, and physical activity), and socioeconomic status (household registration, education level, payment method of medical expenses) were the common predictors of multimorbidity for older adults, among which, being women, married, or engaged in physical activity was found to be a relative determinant as a protective factor for multimorbidity after the other covariates were controlled.

CONCLUSION

Multimorbidity is prevalent among older adults in Chinese. Guideline development, clinical management,and public intervention should target a group of diseases instead of a single condition.

Association between multimorbidity and falls and fear of falling among older adults in eastern China: a cross-sectional study

Background

Growing evidence has reported an association between multimorbidity and falls and fear of falling (FOF) in older adults, however, the results regarding this association from China are limited. Our study aimed to investigate the association between multimorbidity and falls and FOF in older adults in eastern China.

Methods

We conducted a cross-sectional study in Zhejiang Province, Eastern China, which recruited a provincial representative sample of adults aged ≥ 60 years. A structured questionnaire including demographic characteristics, chronic diseases, history of falls in the past 12 months, and FOF, was administered by all participants. The exposure variable was multimorbidity, which was defined as the presence of two or more chronic diseases and medical conditions in the same individual. The outcomes included a history of falls and FOF. Multivariate logistic regression was used to evaluate the association between multimorbidity and falls and FOF in older adults.

Results

In total of 7,774 participants were included in the analysis, among whom 3,898 (50.1%) were female, with a mean ± standard deviation age is 72.9 ± 8.4 years. Multimorbidity was associated with the increased risk of falling in older adults [adjusted odds ratio (OR), 1.99; 95% confidence interval (CI):1.55-2.36]. The ORs for having experienced single fall and repeated falls were 1.85 (95% CI: 1.42-2.42) and 3.45 (95% CI: 1.47-6.97), respectively, with multimorbidity compared with those without chronic diseases. The older adults with multimorbidity were more likely to report FOF compared with those without chronic diseases (adjusted OR, 1.49; 95%CI:1.30-1.70). Moreover, the association between multimorbidity and FOF remained significant in the older adults with a history of fall (OR, 1.57; 95%CI:1.04-2.38).

Conclusion

The association between multimorbidity and falls and FOF is significant in the Chinese population and the effects of multimorbidity on falls and FOF do not vary according to the frequency and history of falls in older adults.

Prevalence, patterns of multimorbidity and associations with health care utilization among middle-aged and older people in China

BACKGROUND

Multimorbidity has become one of the main challenges in health care system. The association between prevalence, patterns of multimorbidity and health care utilization is less often discussed in China. The purpose of this study is to examine this association among Chinese middle-aged and older adults and take into account different sociodemographic, behavioral and health characteristics. Based on this, implications of current evidence and effective intervention on multimorbidity and health care utilization can be identified and put into practice.

METHODS

The wave 4 in 2018 of the China Health and Retirement Longitudinal Study (CHARLS) was used in the study. Multimorbidity was defined as the co-occurrence of two or more chronic medical condition of a list of fourteen chronic diseases in one person. The presence of chronic diseases was assessed through self-report. Health care utilization include whether the respondents received outpatient service last month and inpatient service in the past year. Latent Class Analysis was conducted to identify the clustering pattern of chronic diseases. Logistic regressions were employed to explore the association between prevalence, patterns of multimorbidity and health care utilization. Analyses were weighted using individual sample weights, adjusted for non-response of individual and household.

RESULTS

Among 19,559 participants aged 45 and older, 23.10% were aged above 70 years and 52.42% were female. The prevalence of multimorbidity was 56.73%. Four patterns were identified: relatively healthy class, respiratory class, stomach-arthritis class and vascular class. Multimorbid individuals used more outpatient services (OR = 1.89, 95%CI = 1.65-2.17) and more inpatient services (OR = 2.52, 95%CI = 2.22-2.86) compared to their no-multimorbid counterparts. Compared to relatively healthy class, the respondents classified into respiratory class, stomach-arthritis class and vascular class used more outpatient services (OR = 1.90, 95%CI = 1.57-2.30; OR = 2.39, 95%CI = 2.06-2.78; OR = 1.53, 95%CI = 1.32-1.79 respectively) and more inpatient services (OR = 2.19, 95%CI = 1.83-2.62; OR = 2.93, 95%CI = 2.53-3.40; OR = 1.90, 95%CI = 1.65-2.19 respectively).

CONCLUSION

Our study provided evidence that multimorbidity is high among Chinese older adults and is associated substantially higher health care utilization in China. Four multimorbidity patters were identified. Policy should prioritize improving the management of individuals with multimorbidity to increase healthcare efficiency. Further research is necessary with special emphasis on the trajectory of multimorbidity and the role of health system in satisfying needs of multimorbid individuals.

How much time of sedentary behavior is associated with depressive symptoms in community-dwelling older adults in southern Brazil?

AIMS

Identify sedentary behavior (SB) cut-off points to screen for depressive symptoms in older adults and verify the association between these conditions.

METHODS

A cross-sectional survey of 308 community-dwelling older adults was conducted. The outcome was the presence of depressive symptoms (≥6 points on the Geriatric Depression Scale-15). The exposure was SB using the self-reported time on a weekday and weekend (International Physical Activity Questionnaire). The cut-off points for SB categorization were determined by the receiver operating characteristic curve and multivariate logistic regression to verify the association.

RESULTS

Older adults who spent ≥4.5 hours/day in SB (sensitivity = 48.8%; specificity = 67.8%) were 1.81 times more likely (95%CI: 1.03;3.15) to have depressive symptoms compared to those who stayed for shorter periods.

CONCLUSIONS

There was an association between SB and depressive symptoms; therefore, older adults must have SB <4.5 hours/day to reduce the chances of developing depressive symptoms.

Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China

BACKGROUND

Multimorbidity has become a global public health concern. Knowledge about the prevalence and patterns of multimorbidity will provide essential information for public intervention and clinical management. This study aimed to examine gender and socioeconomic differences in the prevalence and patterns of multimorbidity among a nationally representative sample of middle-aged and older Chinese individuals.

METHODS

Data were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. Latent class analysis was conducted to discriminate among the multimorbidity patterns. Multinomial logit analysis was performed to explore gender and socioeconomic factors associated with various multimorbidity patterns.

RESULTS

A total of 19,559 respondents over 45 years old were included in the study. The findings showed that 56.73% of the respondents reported multimorbidity, with significantly higher proportions among women. Four patterns, namely "relatively healthy class", "respiratory class", "stomach-arthritis class" and "vascular class", were identified. The women were more likely to be in the stomach-arthritis class. Respondents with a higher SES, including higher education, urban residence, higher consumption, and medical insurance, had a higher probability of being in the vascular class. Conclusions: Significant gender and socioeconomic differences were observed in the prevalence and patterns of multimorbidity. The examination of gender and socioeconomic differences for multimorbidity patterns has great implications for clinical practice and health policy. The results may provide insights to aid in the management of multimorbidity patients and improve health resource allocation.

Is multimorbidity associated with higher risk of falls among older adults in India?

BACKGROUND

Fall, a multifaceted health condition, is one of the major causes of mortality among older adults. Rapid ageing and increased multimorbidity in low-and middle-income countries (LMICs), including India, might elevate the risk of fall. Although, fall is associated with significant healthcare utilization, it still remains an under-recognized public health issue. This accentuates a need for evidence on fall to integrate it into existing healthcare programs, a gap in geriatric care. The present study aimed to assess the association of fall with multimorbidity among older adults in India.

METHODS

We included 28,567 participants aged ≥ 60 years from Longitudinal Ageing Study in India (LASI), wave-1 conducted during 2017-19. Descriptive statistics were used to compute the prevalence of self-reported falls along with 95% confidence interval as a measure of uncertainty. The association between falls and multimorbidity was assessed by multivariable logistic regression and presented as an adjusted odds ratio (AOR).

RESULTS

The prevalence of falls was 12.5%, being higher among women (13.6% vs. 11.4%) than men. The major determinants of fall were females, rural residents and smokeless tobacco use. We observed multimorbidity [AOR: 1.29 (1.14-1.46)] to be significantly associated with falls.

CONCLUSION

Falls are commonly prevalent among older adults having multimorbidity as its important predictor. Existing health programs should incorporate falls as an important part of geriatric care. Additionally, primary health care facilities should be strengthened to provide comprehensive care for injuries sustained due to falls.