Latent profile analysis for quality of life in older patients

Association of intrinsic capacity with ADL and IADL trajectories: Evidence from a nationwide longitudinal study

BACKGROUND

With global aging, functional decline in older adults is a major public health concern. The WHO introduced Intrinsic Capacity (IC) as a key indicator of healthy aging, yet longitudinal evidence on its association with Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) trajectories remains limited.

METHODS

Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS, 2015-2020), including 4368 participants aged ≥60 years. IC was assessed using quartiles, Latent Profile Analysis (LPA) groups, and five IC domains. Group-Based Trajectory Modeling (GBTM) identified ADL and IADL trajectories, while multivariable logistic regression examined associations between IC and ADL/IADL trajectories. Subgroup and sensitivity analyses ensured robustness.

RESULTS

Two trajectory groups were identified for both ADL and IADL: Stable (ADL: 76.5 %, IADL: 76.9 %) and Declining (ADL: 23.5 %, IADL: 23.1 %). LPA revealed three IC profiles: Low Sensory Domain, Low Locomotion and Vitality, and High and Stable IC. Lower IC was significantly associated with higher ADL/IADL decline risk. The Low Locomotion and Vitality Group had increased risk, while the Low Sensory Domain Group showed no significant association. Locomotion, vitality, and psychological function were significantly related to decline, whereas sensory and cognitive domains were not.

CONCLUSION

Lower IC is significantly associated with ADL and IADL decline, with locomotion and vitality as key predictors. Early screening and interventions to maintain IC may delay functional impairment and promote healthy aging.

Influence of health literacy and self-management on quality of life among older adults with hypertension and diabetes in Northwest China

OBJECTIVE

This study investigated the relationship between health literacy, self-management, and quality of life among older adults diagnosed with hypertension and diabetes. Additionally, the influence of these factors on quality of life was assessed to provide a theoretical basis for enhancing the well-being of individuals with chronic conditions.

METHODS

A cohort of 600 older adults diagnosed with hypertension and diabetes were recruited in Xinjiang, China. Data were collected through a questionnaire survey, and the relationship between health literacy, self-management levels, and quality of life were analysed using a structural equation model (SEM).

RESULTS

Of the 600 distributed questionnaires, 556 were completed. Among the older adults with hypertension and diabetes, 17 (3.0 %) demonstrated very adequate health literacy, 188 (33.8 %) had adequate health literacy, 67 (12.1 %) exhibited possible insufficient health literacy, and 284 (51.1 %) were categorized as having insufficient health literacy. The mean self-efficacy score was 6.97 ± 1.03, reflecting low levels of self-management. The average Physical Component Summary score for quality of life was 51.10 ± 12.80, while the average Mental Component Summary score was 70.89 ± 9.43. SEM analysis indicated that quality of life exerted a significant positive effect on health literacy (β = 0.369, P < 0.001) and self-management (β = 0.133, P < 0.01). Furthermore, health literacy was found to significantly positively influence self-management (β = 0.210, P < 0.01).

CONCLUSION

Quality of life in older adults with chronic conditions is significantly influenced by their health literacy and self-management levels. Higher health literacy and improved self-management are associated with enhanced overall quality of life.

Latent profiles and associated factors of body image in pregnant women

This study aimed to investigate the status of body image among pregnant women and identify associated factors using latent profile analysis (LPA). This cross-sectional study was conducted using a convenience sample of 460 pregnant women in the gynecology outpatient clinic of a tertiary hospital in Zunyi between December 2023 and April 2024. Data on body image, demographic characteristics, quality of life, and E-health literacy were collected. Then, multiple stepwise linear regression was conducted to identify risk factors associated with level of maternal body image in the study participants. Lastly, latent profile analysis was used to classify participants based on their body image status. The results of the latent profile analysis revealed that 48% of participants exhibited high level body image dissatisfaction , 44.60% suffered from moderate level body image dissatisfaction , and the remaining 7.30% of patients had low levelbody image dissatisfaction . Additionally, significant differences were observed in scale scores and dimensions among the three categories (both p < 0.001). Finally, multiple regression analysis identified QOL (B = 0.65, p < 0.001), E-health literacy (B = 0.05, p < 0.05), and gestational age (B = -0.01, p < 0.05) as significant factors associated with body image among pregnant women. Body image dissatisfaction is highly prevalent among pregnant women in China. Thus, healthcare providers are recommended to prioritize addressing body image dissatisfaction and develop effective intervention strategies to improve the quality of life and e-health literacy of pregnant women.

Pattern of sedentary behaviors among older Adults in Chinese residential care homes: A latent profile analysis

We aimed to identify patterns of sedentary behaviors among older adults in residential care homes in China and characterize older adults in each identified pattern. We used data from 283 older adults who lived in 11 care homes in northeastern China. Patterns of sedentary behaviors were identified using latent profile analysis. We further verified the clinical relevance of the identified patterns by associating them with depressive symptoms using a regression model. The LPA results showed that the four-profile model was the most appropriate based on the fitting metrics of AIC, BIC, ABIC, LMR, BLRT, and Entropy, which we named the sedentism group, the balanced group, the mentally-active group, and the mentally-passive group. Compared to residents in the mentally-active group, those in the sedentism group (coefficient = 3.98, 95% CI = 2.18 - 5.78, p < 0.001) and mentally-passive group (coefficient = 1.96, 95% CI = 0.13 - 3.78, p = 0.036) had higher levels of depressive symptoms, supporting the clinical relevance of the identified patterns. Our findings suggest targeted interventions for residents with different sedentary patterns.

Heterogeneity in Health-Related Quality of Life of Patients with Aplastic Anemia: A Latent Profile Analysis

Purpose

Concerns over health-related quality of life (HRQOL) in patients with aplastic anemia (AA) have been increasing worldwide. However, most researches on HRQOL in AA patients have ignored individual-level variability. Thus, our study was designed to explore practical classification of HRQOL and related variables among AA patients.

Methods

A cross-sectional study was conducted from May 2022 to March 2023, utilizing convenience sampling to enroll AA patients. Data of HRQOL, sociodemographic characteristics, and clinical variables were collected. Latent profile analysis (LPA) was used to analyze the latent categories of HRQOL in AA patients, utilizing scores from eight subscales of the Medical Outcomes Study 36-Item Short Form Health Survey version 2.0.

Results

A total of 229 patients completed the survey and were included in the analysis. The LPA results showed significantly individual differences and identified three subgroups of HRQOL: Group 1, poor HRQOL with role emotional limitation (n=54, 23.58%); Group 2, moderate HRQOL with role physical limitation (n=56, 24.45%), and Group 3, good HRQOL (n=119, 51.97%), respectively among AA patients. Childless, no comorbidities, transfusion independence, no AA-related symptoms, and higher annual household income were associated with Group 3, whereas higher Eastern Cooperative Oncology Group performance status (ECOG-PS) scores were associated with Group 1.

Conclusion

The findings of our study revealed significant heterogeneity in HRQOL among AA patients, providing valuable information for tailoring interventions to meet individual needs, especially for those in the poor HRQOL with role emotional limitation group. To improve their quality of life, healthcare professionals should fully take into account how the HRQOL subgroups are affected by AA-related symptoms, household annual income, ECOG-PS score, children, comorbidities, and transfusion-dependence.

Latent profile analysis of fear of progression in obstructive sleep apnea hypoventilation syndrome patients: a cross-sectional study

OBJECTIVE

This study aims to identify distinct subtypes of Fear of Progression (FOP) in patients with Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) using latent profile analysis and to investigate associated demographic factors to facilitate personalized treatment by healthcare professionals, thereby improving clinical symptoms and treatment outcomes in OSAHS patients.

METHODS

This study employed a convenience sampling method to recruit 307 patients with OSAHS. A cross-sectional survey was conducted to collect data on patients' demographics, the Fear of Progression Questionnaire-Short Form, the Social Support Rating Scale, and the Health Promoting Lifestyle Profile II. Latent profile analysis was used to investigate the heterogeneity of FOP in this patient sample.

RESULTS

FOP in patients with OSAHS can be categorized into three latent subtypes: low FOP group(16.6%), moderate FOP group (44.3%), and high FOP group (39.1%). Univariate analyses revealed that gender, education level, smoking history, exercise frequency, coexistence of other chronic illnesses, sleeping posture, OSAHS diagnosis, social support, and health-promoting behaviors significantly influenced the level of FOP. Multivariate logistic regression analysis further revealed that the risk of moderate to high fear of disease progression was associated with lower social support, reduced engagement in health-promoting behaviors, sleep positions (e.g., sleeping on one's side), occasional smoking, and the diagnostic severity of OSAHS.

CONCLUSIONS

This study describes the characteristics of different FOP subtypes, which aids healthcare professionals in gaining a deeper understanding of the population heterogeneity of FOP status in patients with OSAHS. Consequently, it facilitates the development of more precise health promotion intervention strategies, and actively responds to the implementation of "Healthy China 2030".

Effect of psychological intervention combined with feedback-based health education on lung cancer patients

OBJECTIVE

To explore the application effect of Psychological Intervention based on the emotional adaptation theory combined with Feedback-based Health Education (PICFHE) on lung cancer patients.

METHOD

A total of 216 lung cancer patients were divided into a control group and an observation group using a random number table method. The control group received routine nursing intervention, while the observation group received PICFHE on the basis of the control group. Psychological status was compared using the Self Rating Anxiety Scale (SAS) and Self Rating Depression Scale (SDS). Quality of life was measured using WHOQOL-BREF scale and the respiratory condition, satisfaction with the nursing staff, and incidence of adverse reactions were observed. Data were analyzed quantitatively using the software SPSS 20.0.

RESULTS

After intervention, scores of SAS and SDS, respiratory rate, and total incidence of adverse reactions in the observation group were significantly lower than those in the control group. After intervention, the level of maximum volume ventilation and the scores in all dimensions of the WHOQOL-BREF scale of the observation group were higher than those of the control group.

CONCLUSION

PICFHE can improve patients' psychological status, their quality of life and satisfaction with the nursing staff, and reduce the incidence of adverse reactions.

A latent profile analysis of heterogeneity in self-management behavior of gestational diabetes mellitus patients

OBJECTIVE

To identify latent profiles of self-management behaviors among patients with Gestational Diabetes Mellitus (GDM) and develop targeted interventions.

METHOD

s Between July 2023 and October 2023, 320 GDM patients were surveyed using a self-management behavior questionnaire. Latent profile analysis (LPA) was employed to identify subgroups of GDM patients. Subsequent multinomial latent variable regressions were used to identify factors associated with self-management behavior.

RESULTS

23.0%, 47.0%, and 29.9% of respondents were classified into high, moderate, and low self-management groups, respectively, based on the results of the latent profile analysis. The three different categories demonstrated statistically significant differences across scale scores and dimensions (all p < 0.001). The findings showed that age was a predictor of class 2 (OR:0.93,95%CI:0.872-0.994)and was associated with reduced self-management behavior. The higher BIPS(OR:1.03,95%CI:1.007-1.044;OR:1.04,95%CI:1.015-1.057) and QOL(OR:1.05,95%CI:1.028-1.077;OR:1.06,95%CI:1.036-1.092) mean scores were significantly more likely to be in class2 and class3. Patients with a sleep disorder (OR:0.32,95%CI:0.167-0.599; OR:0.27,95%CI:0.130-0.544)were significantly more likely to be class 2 and class 3. Having a blood glucose normal before pregnancy(OR:4.17,95%CI:1.013-17.295) was significantly more likely to be in class 3.

CONCLUSION

The GDM patient population is heterogeneous, with distinct subtypes that may benefit from tailored, multi-level interventions.

Latent profile analysis of fatalism and its influencing factors among community-dwelling disabled elderly individuals

Objective

This study aims to explore the latent profiles of fatalism among community-dwelling disabled elderly individuals and identify the key factors influencing these profiles. The findings will provide valuable insights for formulating tailored care management strategies for this population.

Design

A cross-sectional survey study.

Methods

A random sampling approach was used to survey disabled elderly individuals residing in 109 communities across eight urban districts in Sichuan Province. Data were collected through a general information questionnaire and a Fatalism Scale. Latent profile analysis was performed to identify distinct fatalism profiles, and multivariate unordered regression analysis was conducted to assess their influencing factors.

Results

Three distinct latent profiles of fatalism were identified: high fatalism and pessimism tendency (35.6%), moderate fatalism and low optimism tendency (9.6%), and low fatalism with relative optimism tendency (54.8%). Multivariate analysis revealed that living arrangements, number of children, educational level, duration of disability, and self-reported economic stress were significant factors influencing these fatalism profiles.

Conclusion

There is significant heterogeneity in fatalism among community-dwelling disabled elderly individuals. Caregivers and healthcare managers can develop more precise and personalized management strategies by considering the different latent profiles and their associated influencing factors.

Plastic harmful ingredients reduce the level of neurofilament light chain protein

Population exposure to plastics is increasing, and plasticizers are frequently detected in humans as important ingredients of plastic products. However, patterns of exposure to harmful ingredients of plastics and their effects on neurofilament light chain (NFL), a marker of active brain pathology, are currently inconclusive. Herein, we employed a range of statistical methods to thoroughly investigate the impact of 24 plastic hazardous ingredients and their varying exposure patterns on NFL concentrations in the blood of the general population in 533 participants. Generalized linear model revealed a positive correlation between Mono-isononyl phthalate and Mono (2-Ethyl- 5-Hydroxyhexyl) Phthalate (MEHHP) with NFL. Furthermore, a significant dose-response relationship was observed between MEHHP and NFL, while Butyl paraben and Mono (Hydroxy-Isononyl) Ester exhibited a distinct "inverted U-shaped" nonlinear pattern with NFL. Additionally, Weighted Quantile Sum model allowed us to identify the mixed effects of all 24 plastic hazardous ingredients, with Mono(2-Ethyl-5-Oxohexyl) Phthalate, Mono-isobutyl phthalate, Mon butyl Phthalate, Propyl paraben and Triclosan occupying prominent positions. Finally, the latent profile analysis categorized exposures into high, medium, and low patterns, confirming that higher exposure to plastic hazardous ingredients posed a significant risk factor for elevated NFL levels in the blood. Exposure to plastic hazardous ingredients significantly increases the risk of NFL, the present contributes to early detection and intervention to reduce the incidence of neurodevelopmental disorder.

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.

Latent profile analysis of dyspnea-related kinesiophobia in older adults with chronic obstructive pulmonary disease

BACKGROUND

Dyspnea-related kinesiophobia refers to restrictions or avoidance of activities due to fear of dyspnea and is prevalent among older adults with chronic obstructive pulmonary disease (COPD). Hence, there is a need to identify subgroups of dyspnea-related kinesiophobia among older adults with COPD to support the development of strategies to increase activity levels.

OBJECTIVE

The purpose of this study was to investigate dyspnea-related kinesiophobia among older adults with COPD, explore heterogeneity in kinesiophobia within subgroups of this population, and analyze the characteristics of different subgroups of kinesiophobia.

METHOD

This cross-sectional study was conducted from November to December 2023 in Fenyang City, Shanxi Province, China, via face-to-face questionnaire surveys of hospitalized adults with COPD aged over 60 years in four secondary or tertiary hospitals. The Breathlessness Beliefs Questionnaire (BBQ) was used to measure dyspnea-related kinesiophobia. Latent profile analysis was employed to classify the subgroups. CChi-square tests and binary logistic regression were used to examine the effects of sociodemographic factors, marital status, education, income, daily activities, general health, and COPD severity across different profiles.

RESULTS

A total of 384 older adults with COPD (Male N = 228, aged 60-88) were included in the study. Their average BBQ score was (39.15±5.59). Latent profile analysis identified two groups: 230 participants (59.9 %) in the low-level kinesiophobia group (C1) and 154 participants (40.1 %) in the high-level kinesiophobia group (C2). Multivariable stepwise binary logistic regression analysis revealed that older adults with COPD who engaged in exercise less than three days weekly reported an average monthly household income of <3000 CNY, unmarried status (including unmarried, divorced, or widowed), a Charlson Comorbidity Index (CCI) >1, more than three exacerbations within one year or with moderate (GOLD 2 Criteria)-severe (GOLD3) COPD were more likely to be the high-level kinesiophobia group (p < 0.05).

CONCLUSION

Dyspnea-related kinesiophobia manifests in two groups among older adults. Targeted interventions for different subgroups should be further developed to promote health and reduce nursing burdens.

Factors associated with functional health literacy and the quality of life of riverside residents served by the primary care network in the Brazilian amazon: a cross-sectional study

BACKGROUND

the riverside population lives in a vulnerable social situation, shaped by geographical, economic, social, and educational aspects that have repercussions on health literacy, the limitations of which can compromise Quality of Life. These specificities influence the actions of Primary Health Care, especially in the rural context. This study aimed to assess the factors associated with Functional Health Literacy and Quality of Life among riverside residents of the Brazilian Amazon who use Primary Health Care.

METHODS

a cross-sectional study with 312 users of a riverside Family Health Team, using the Health Literacy Test, classified as adequate, limited, and inadequate, and the Study Short Form 12 Health Survey questionnaire, analyzing the physical and mental components in isolation. A theoretical model was built to assess the associations between sociodemographic and environmental variables and the Functional Health Literacy and Quality of Life outcomes. The Functional Health Literacy outcome was considered as two dichotomous variables (inadequate versus adequate; limited versus adequate), while the Quality of Life outcomes were considered as counts, with a Poisson distribution. Thus, a structural equation model was used to adjust the proposed theoretical model.

RESULTS

there was a worsening in inadequate Functional Health Literacy, associated with females, aged over 40, elementary school education, living close to the health service, and using only a cell phone for communication. Factors that compromised physical Quality of Life: livelihood problems; inadequate literacy; age range 40-59; and having two children or more. And those that worsened mental Quality of Life: age over 40; having a family allowance; and being in control of their medication.

CONCLUSIONS

sociodemographic, environmental, and economic factors and adherence to medication by river communities have been shown to be associated with Health Literacy and Quality of Life. Knowing these implications is fundamental for health provision. These findings can support the formulation of strategies in health services to improve Health Literacy and Quality of Life.

Health-related quality of life profiles in patients with rheumatoid arthritis: a latent profile analysis

BACKGROUND

Rheumatoid arthritis (RA) is a common rheumatic disease that most commonly affects joints and negatively impacts individuals' health-related quality of life (HRQoL). Although some studies have explored HRQoL of RA patients, existing studies treated RA patients as a homogeneous group based on their overall HRQoL and ignore the heterogeneity of patients' HRQoL patterns. This study aimed to identify subgroups of RA patients based on their HRQoL and variables associated with group membership.

METHODS

This was a multi-center cross-sectional study conducted at 3 tertiary hospitals. All participants completed standardized questionnaires including demographic variables, HRQoL, physical function, disease activity and self-efficacy. Latent profile analysis was used to identify the optimal number of subgroups (profiles) and multinomial logistic regression analysis was used to explore variables associated with profile membership.

RESULTS

The analysis revealed 3 profiles of RA patients: poor HRQoL (N = 92, 60.9%), moderate HRQoL but poor role function (N = 45, 29.8%), good HRQoL (N = 14, 9.3%). Regression analysis revealed that patients with worse physical function were more likely to belong to "poor HRQoL" and "moderate HRQoL but poor role function" profile. Additionally, patients with junior high school or below educational level were less likely to belong to "moderate HRQoL but poor role function" profile.

CONCLUSION

This study identified 3 profiles of HRQoL within RA patients and found that physical function and educational level was associated with HRQoL profiles. The finding can provide the basis for developing tailored interventions to specific subgroups of RA patients.

Evaluating the Screening Capability of the SarQoL Questionnaire in Sarcopenic Obesity: A Comparison Study Between Spanish and Belgian Community-Dwelling Older Adults

BACKGROUND/OBJECTIVES

This study aims to evaluate the potential of the SarQoL questionnaire as a screening tool for sarcopenic obesity by comparing its effectiveness in Spanish and Belgian community-dwelling older people. This research seeks to address the primary question of whether the SarQoL can reliably differentiate quality of life impacts between these groups.

METHODS

A cross-sectional study was conducted involving community-dwelling older adults from Valencia (Spain) and Liège (Belgium). Participants were assessed using the SarQoL questionnaire, which measures health-related quality of life specifically for sarcopenia, and a sarcopenic obesity diagnostic method based on a combination of the EWGSOP2 criteria for sarcopenia and of body mass index for obesity. The sample included diverse demographic and clinical characteristics to ensure comprehensive analysis. Statistical methods were employed to compare the outcomes between the two populations.

RESULTS

The study highlighted a significant relationship between quality-of-life scores and the prevalence of sarcopenic obesity in the Spanish and Belgian populations. The SarQoL questionnaire effectively identified lower quality of life in individuals with sarcopenic obesity, demonstrating its potential as a reliable screening tool across different populations. In conclusion, the SarQoL questionnaire proved to be an effective tool for evaluating quality of life and for screening individuals with sarcopenic obesity.

CONCLUSIONS

Future research should prioritize longitudinal studies to determine the SarQoL questionnaire's predictive value and investigate interventions to alleviate the adverse effects of sarcopenic obesity. Our results highlight the critical need to include quality of life assessments in managing sarcopenic obesity, advocating for a comprehensive approach to patient care.

Dyadic coping and related factors among couples with colorectal cancer: A latent profile analysis

Objective

This study aimed to identify latent subgroups of dyadic coping (DC) among colorectal cancer (CRC) patients and their spousal caregivers, and to explore the factors associated with these subgroups.

Methods

We conducted a cross-sectional study involving 268 pairs of CRC patients and their spousal caregivers. Participants completed the General Information Questionnaire, the Dyadic Coping Inventory, the Cancer-Related Communication Problems Scale, and the Fear of Progress Questionnaire-Short Form. Latent profile analysis (LPA) of DC among CRC couples was performed using Mplus 8.3. We compared couple illness communication, fear of cancer recurrence (FCR), and demographic characteristics between the identified subgroups and conducted ordinal logistic regression analysis to examine factors associated with these subgroups.

Results

The 268 pairs of CRC patients and their spousal caregivers were classified into four subgroups based on their coping levels: low-DC group (12.3%), low common-DC group (7.1%), moderate-DC group (52.6%), and high-DC group (28.0%). Disease stage, couple illness communication, and spouse's FCR were significantly associated with the four subgroups.

Conclusions

There is considerable variability in DC levels among CRC patients and their spousal caregivers. Patients with advanced disease stages, inadequate communication between spouses, and severe RCR exhibit lower levels of DC. These findings provide a theoretical basis for nursing personnel to develop personalized intervention strategies tailored to the characteristics of these subgroups.

Health impacts of lifestyle and ambient air pollution patterns on all-cause mortality: a UK Biobank cohort study

BACKGROUND

Extensive evidence indicates that both lifestyle factors and air pollution are strongly associated with all-cause mortality. However, little studies in this field have integrated these two factors in order to examine their relationship with mortality and explore potential interactions.

METHODS

A cohort of 271,075 participants from the UK Biobank underwent analysis. Lifestyles in terms of five modifiable factors, namely smoking, alcohol consumption, physical activity, diet, and sleep quality, were classified as unhealthy (0-1 score), general (2-3 score), and healthy (4-5 score). Air pollution, including particle matter with a diameter ≤ 2.5 μm (PM2.5), particulate matter with a diameter ≤ 10 μm (PM10), particulate matter with a diameter 2.5-10 μm (PM2.5-10), nitrogen dioxide (NO2), and nitrogen oxides (NOx), was divided into three levels (high, moderate, and low) using Latent Profile Analysis (LPA). Cox proportional hazard regression analysis was performed to examine the links between lifestyle, air pollution, and all-cause mortality before and after adjustment for potential confounders. Restricted cubic spline curves featuring three knots were incorporated to determine nonlinear relationships. The robustness of the findings was assessed via subgroup and sensitivity analyses.

RESULTS

With unhealthy lifestyles have a significantly enhanced risk of death compared to people with general lifestyles (HR = 1.315, 95% CI, 1.277-1.355), while people with healthy lifestyles have a significantly lower risk of death (HR = 0.821, 95% CI, 0.785-0.858). Notably, the difference in risk between moderate air pollution and mortality risk remained insignificant (HR = 0.993, 95% CI, 0.945-1.044). High air pollution, on the other hand, was independently linked to increased mortality risk as compared to low air pollution (HR = 1.162, 95% CI, 1.124-1.201). The relationship between NOx, PM10, and PM2.5-10 and all-cause mortality was found to be nonlinear (p for nonlinearity < 0.05). Furthermore, no significant interaction was identified between lifestyle and air pollution with respect to all-cause mortality.

CONCLUSIONS

Exposure to ambient air pollution elevated the likelihood of mortality from any cause, which was impacted by individual lifestyles. To alleviate this hazard, it is crucial for authorities to escalate environmental interventions, while individuals should proactively embrace and sustain healthy lifestyles.

Potential profiling of self-management skills in older co-morbid patients

BACKGROUND

Under the general trend of global aging, geriatric comorbidity is increasingly common, which may have some impact on the quality of life of the older people. Self-management can effectively improve patient compliance, subjective initiative, and improve patient quality of life. However, the present situation of self-management in different old people is different. Therefore, this study classifies older co-morbid patients through potential profiling analysis, understands the category characteristics of self-management level of older co-morbid patients, and discusses the influencing factors of self-management level of different categories of older co-morbid patients, which can provide reference for personalized intervention programs for different comorbidity characteristics of elderly people in the future.  METHOD: Through a cross-sectional study, 616 cases of older co-morbid patients in three districts of Zhengzhou City, Henan Province, were selected as survey subjects by using the whole cluster sampling method. The General Information Questionnaire, Chronic Disease Self-Management Scale, Health Literacy Scale, Electronic Health Literacy Scale, Collaborative Social Support Scale, and Health Empowerment Scale were used to conduct the survey.

RESULTS

The result of LPA shows that the self-management characteristics of older co-morbid patients should be classified into 3 categories: good self-management (19.4%), medium self-management(27.9%), and low self-management (52.7%). The results of multivariate logistic regression analyses show that literacy, religiosity, health literacy, e-health literacy, appreciative social support, and health empowerment are influential factors for self-management among older co-morbid patients (p < 0.05).

CONCLUSION

There is obvious heterogeneity in the self-management level of older co-morbid patients. It is recommended that healthcare professionals give targeted interventions for their weaknesses according to the self-management characteristics of different categories of patients in order to enhance the self-management level of this population and improve their quality of life.

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis-a cross-sectional study

BACKGROUND

Social alienation refers to the state of feeling isolated, helpless, and unsatisfied due to maintaining distance from others or avoiding social interaction and activities. This phenomenon is caused by a lack of social skills, social anxiety, physical health problems, and other reasons. Older maintenance hemodialysis patients are exposed to a higher risk of social alienation. However, previous studies have been performed using the total score of the scale, which does not allow the identification of the characteristics of various patient groups with different levels of social alienation. In contrast, latent profile analysis can classify individuals into different categories based on continuous observational indicators, which improves accuracy and provides a more objective assessment by accounting for the uncertainty of variables. Given the concealed nature of social alienation and the differences in characteristics and treatment measures between different profiles, developing a predictive model for social alienation in older maintenance hemodialysis patients holds significance.

OBJECTIVE

To explore the latent profile analysis of social alienation in older maintenance hemodialysis patients and to develop and validate a predictive model for social alienation in this population.

METHODS

A total of 350 older maintenance hemodialysis patients were selected as the study subjects using convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, the Generalized Alienation Scale, and the Self-Perceived Burden Scale. Based on the results of the Generalized Alienation Scale, a latent profile analysis was performed, followed by univariate analysis and multinomial logistic regression to develop a predictive model. The effectiveness of the predictive model was evaluated in terms of its authenticity, reliability, and predictive ability.

RESULTS

Three hundred nineteen valid questionnaires were collected. The social alienation of older maintenance hemodialysis patients based on latent profile analysis were divided into three profiles, which were named the low/medium/high-symptom groups, comprising 21%, 38.9%, and 40.1% of participants, respectively. Based on male, monthly social activity hours, Age-Adjusted Charlson Comorbidity Index, dialysis age, and Self-Perceived Burden Scale, a predictive model of social alienation for older maintenance hemodialysis patients was developed, and the Hosmer-Lemeshow tests showed no statistical significance (P > 0.05). The model has high predictive efficiency in authenticity, reliability and predictability.

CONCLUSION

Older maintenance hemodialysis patients exhibited moderate to high levels of social alienation. The latent profile analysis based method was used to divide patients into low/medium/high-symptom profiles, and the predictive model demonstrates excellent authenticity, reliability, and predictability.

The Impairment of Social and Environmental Relationships in Patients With Heart Failure Correlated With Therapeutic Class

Background and objectives Heart failure (HF) significantly influences the quality of life, both physically and emotionally, as well as social and environmental relationships. One major objective of HF treatment is to maintain or improve the quality of life. The aims of the study were to assess the impact of HF on social relationships and the relationship with the environment, according to therapeutic class and the presence of comorbidities, and to identify predictive factors for the impairment of these dimensions of the quality of life. Materials and methods This study was based on a cross-sectional survey; 252 patients with HF who have referred themselves to the medical rehabilitation department of the "Avram Iancu" Clinical Hospital, Oradea, between February 2023 and February 2024 were included. The patients were divided into two groups (Group HF-S/V, patients undergoing treatment with sacubitril/valsartan; Group HF-CT, patients receiving conventional therapy). All patients were asked to complete two assessment tools: the Charlson Comorbidity Index (CCI) questionnaire and the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) questionnaire. Results The mean values obtained per the domain of social relationships were significantly better for Group HF-CT (65.762 ± 12.519 versus 61.266 ± 12.428, p = 0.024). The mean values obtained on the domain of social relations and in relation to the environment were significantly better for Group HF-CT (65.762 ± 12.519 versus 61.266 ± 12.428, p = 0.024; 61.333 ± 13.461 versus 51.719 ± 16.769, p < 0.001). Both dimensions of the quality of life correlate with age and CCI (F = 7.793, p < 0.001, for social relationships; F = 16.821, p < 0.001, for relationship with the environment). Conclusions Social relationships and the relationship with the environment are affected in HF patients and correlate with age and comorbidity index, regardless of the type of therapy.

Health literacy in patients with gout: A latent profile analysis

OBJECTIVES

Understanding the health literacy status of patients with gout diagnosis is essential for improving the health of this population. Our study aimed to investigate the latent profiles of health literacy in patients with gout and to analyze differences in characteristics across potential profiles.

METHODS

This was a cross-sectional study. Eligible participants attended the Shandong Gout Medical Center, from March 2023 to May 2023 and self-reported gout diagnosis. We used the Health Literacy Scale for Patients with Gout designed and validated by our team. The scale had good reliability and validity among patients with gout. 243 patients completed the Demographic Information Questionnaire and the Health Literacy Scale for Patients with Gout. We used latent profile analysis to identify the latent profiles of gout patients' health literacy. We used Chi-square tests with Bonferroni correction to analyze differences in demographics and illness characteristics across identified profiles.

RESULTS

Three profiles of patients with gout emerged (prevalence): the low literacy-low critical group (21.81%), the moderate literacy group (42.79%), and the high literacy-stable group (35.39%). The three groups differed in age, education level, monthly income, disease duration, and place of residence (P<0.01).

CONCLUSIONS

The health literacy of patients with gout was heterogeneous. Healthcare professionals should adopt targeted interventions based on the characteristics of each latent health literacy profile to improve the health literacy level of patients with gout.

Quality of life and its association with predictors in lung transplant recipients: a latent profile analysis

Backgrounds

Improving quality of life (QOL) is one of the main aims of lung transplantation (LTx). There is a need to identify those who have poor quality of life early. However, research addressing inter individual quality of life variability among them is lacking. This study aims to identify group patterns in quality of life among lung transplant recipients and examine the predictors associated with quality of life subgroups.

Methods

In total, 173 lung transplant recipients were recruited from one hospital in Guangdong Province between September 2022 and August 2023. They were assessed using the Lung Transplant Quality of Life scale (LT-QOL), Mindful Attention Awareness Scale (MAAS), Life Orientation Test-Revised scale (LOT-R), and Positive and Negative Affect Scale (PANAS). Latent profile analysis was used to identify QOL subtypes, and logistic regression analysis was used to examine the associations between latent profiles and sociodemographic and psychosocial characteristics.

Results

Two distinct QOL profiles were identified: "low HRQOL" profile [N = 53 (30.94%)] and "high HRQOL" profile [N = 120 (69.06%)]. Single lung transplant recipients, and patients who reported post-transplant infection, high levels of negative emotion or low levels of mindfulness and optimism were significantly correlated with the low QOL subgroup.

Conclusion

Using the domains of the LT-QOL scale, two profiles were identified among the lung transplant recipients. Our findings highlighted that targeted intervention should be developed based on the characteristics of each latent class, and timely attention must be paid to patients who have undergone single lung transplantation, have had a hospital readmission due to infection, exhibit low levels of optimism, low levels of mindfulness or high negative emotions.

Latent Profile Analysis of Suicidal Ideation in Chinese Individuals with Bipolar Disorder

Individuals with bipolar disorder (BD) have a greater suicide risk than the general population. In this study, we employed latent profile analysis (LPA) to explore whether Chinese individuals with different phases of BD differed at the levels of suicidal ideation. We recruited 517 patients. Depressive symptoms were measured using the 24-item Hamilton Depression Rating Scale (HAMD-24), and manic symptoms were evaluated using the Young Mania Rating Scale (YMRS). The extent of suicidal thoughts was determined through the Beck Scale for Suicide Ideation (BSSI). The scores of HAMD and YMRS were used to perform LPA. LPA categorized participants into three classes: one exhibiting severe depressive and mild manic symptomatology, another showing severe depressive and severe manic symptomatology, and the third one displaying severe depressive and intermediate manic symptomatology. Suicidal ideation levels were found to be remarkably elevated across all three classes. Additionally, the three classes showed no significant differences in terms of suicidal ideation. Our research confirms the link between depressive symptoms and suicide, independent of the manic symptoms. These findings carry meaning as they provide insight into the suicide risk profiles within different phases of BD.

Identifying the personal characteristics of decent work perception for nursing students in China using latent profile analysis

BACKGROUND

Given the importance of perceptions of decent work for nursing students' future career choices, we attempted to determine potential classifications and characteristics of nursing students' perceptions of decent work so that targeted interventions could be developed.

METHODS

A convenience sample of 1004 s- to fourth-year nursing students completed the General Information Questionnaire, Self-Regulatory Fatigue Scale, Occupational Identity Questionnaire, and Decent Work Perceptions Scale in a cross-sectional survey in Heilongjiang Province, China, resulting in 630 valid questionnaires with a valid return rate of 62.75%. Nursing students' perceptions of decent work were defined using descriptive and regression analysis.

RESULTS

Latent profile analysis (LPA) identified three subgroups: low perceived decent work group, medium perceived decent work group, and high perceived decent work group, accounting for 4.76%, 69.37%, and 25.87% of the sample, respectively. The results of unordered multiclass logistic regression show that nursing students with relatively low levels of perceived decent work are more likely to have a low professional identity, a lack of respect for nursing seniors, an involuntary choice of nursing major, and a low family income.

CONCLUSION

Different types of nursing students have different perceptions of decent work, and these universities and related departments can use different educational guidance strategies.

Longitudinal Assessment of Facial Hyperhidrosis Management: Evaluating the Utility and Quality of Life Improvements following Botulinum Toxin Injection

Facial hyperhidrosis is a debilitating condition that can severely impact the quality of life. This study aimed to assess the long-term utility of Botulinum toxin type A therapy (BTA) for facial hyperhidrosis and its impact on quality of life over a one-year period. Conducted at the Pius Brinzeu Clinical Emergency Hospital in Timisoara, Romania, this longitudinal observational study involved 77 adult patients with primary facial hyperhidrosis. Participants received two sessions of Botulinum toxin injections (50 U IncoBTX-A each) and were evaluated at baseline, 6 months, and 12 months using the Hyperhidrosis Disease Severity Scale (HDSS), WHOQOL-BREF, Dermatology Life Quality Index (DLQI), and a bespoke survey. The study demonstrated significant reductions in HDSS scores from 3.6 ± 0.5 to 1.2 ± 0.8 post-treatment, sustained at 1.3 ± 0.6 at 12 months (p-value < 0.001). DLQI scores markedly decreased from 24.8 ± 4.2 to 6.2 ± 2.1 post-treatment, stabilizing at 6.5 ± 2.5 at 12 months (p-value < 0.001). Sweat production significantly dropped from 0.75 g ± 0.15 to 0.18 g ± 0.07 per 15 min (p-value < 0.001). WHOQOL-BREF scores improved notably in the mental domain from 66.7 ± 6.1 to 70.8 ± 5.2 at 12 months (p-value < 0.001), with physical and social domains also showing significant improvements. Correlation analysis revealed strong negative correlations between DLQI total score and HDSS (rho = -0.72, p-value < 0.001) and sweat production (rho = -0.68, p-value < 0.001). Regression analysis indicated significant predictors for DLQI total score, including HDSS (B Coefficient = -3.8, p-value < 0.001) and sweat production (B Coefficient = -2.2, p-value < 0.001). BTA therapy significantly improved the quality of life in facial hyperhidrosis patients, with lasting effects on symptom severity, sweat production, and quality of life domains. The correlation and regression analyses further substantiated the treatment's impact on both physical and psychological aspects. These findings advocate Botulinum toxin as a viable long-term treatment for facial hyperhidrosis.

Trajectories of quality of life in people with diabetes mellitus: results from the survey of health, ageing and retirement in Europe

Introduction

Previous longitudinal studies identified various factors predicting changes in Quality of Life (QoL) in people with diabetes mellitus (PwDM). However, in these studies, the stability of QoL has not been assessed with respect to individual differences.

Methods

We studied the predictive influence of variables on the development of QoL in PwDM across three waves (2013-2017) from the cross-national panel dataset Survey of Health, Ageing, and Retirement in Europe (SHARE). To determine clinically meaningful changes in QoL, we identified minimal clinically important difference (MCID). Linear regressions and Linear Mixed Models (LMM) were conducted to determine factors associated with changes in QoL.

Results

On average, QoL remained stable across three waves in 2989 PwDM, with a marginal difference only present between the first and last wave. However, when looking at individual trajectories, 19 different longitudinal patterns of QoL were identified across the three time-points, with 38.8% of participants showing stable QoL. Linear regression linked lower QoL to female gender, less education, loneliness, reduced memory function, physical inactivity, reduced health, depression, and mobility limitations. LMM showed that the random effect of ID had the strongest impact on QoL across the three waves, suggesting highly individual QoL patterns.

Conclusion

This study enhances the understanding of the stability of QoL measures, which are often used as primary endpoints in clinical research. We demonstrated that using traditional averaging methods, QoL appears stable on group level. However, our analysis indicated that QoL should be measured on an individual level.

Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms

BACKGROUND

Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL.

METHODS

A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis.

RESULTS

We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect.

CONCLUSIONS

By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.

Quality of life profiles and its association with predictors amongst Chinese older adults in nursing homes: a latent profile analysis

BACKGROUND

Recently developments in the field of positive psychology have provided new perspectives for understanding the connection between individual variation in Quality of life (QoL) and positive aspects of human potential, strengths, and resources, commanding increasing attention. This study aimed to examine self-reported quality of life (QoL) profiles and the association of QoL profiles with positive psychosocial characteristics in Chinese older adults.

METHODS

A convenient sample of 354 older adults in nursing homes was recruited from Guangdong Province, China, between November 2020 and January 2021. Latent Profile Analysis (LPA) was conducted to explore QoL profiles using the four WHOQOL-BREF domains as input variables. Multinomial logistic regression was performed to explore the association between latent profiles and predictors.

RESULTS

LPA identified three latent QoL profiles: "low QoL with poor psychological health" (18.1%), "moderate QoL" (46.0%) and "high QoL" (35.9%). Frequency of weekly activity, optimism, gratitude, and social support were associated with the increased likelihood of belonging to the moderate-to-high QoL classes. Furthermore, Class 2 (moderate QoL group, reference) was compared with Class3 (high QoL group), higher frequency of weekly physical activity and spending more time on physical activity exhibited higher odds of belonging to high QoL class.

CONCLUSION

Using the domains of the WHOQOL-BREF scale, the QoL profiles Chinese older adults can be identified. We found that psychosocial variables and demographic characteristic, including lower level of optimism and gratitude, lack of social support, low frequency of physical activity, and shorter activity duration time, heighten the risk for lower levels of QoL. Identifying classification may help focus on those at elevated risk for poor QoL and for developing tailored QoL improvement programs.

Latent profile analysis and influencing factors of quality of life in pregnant women with gestational diabetes mellitus

PURPOSE

Gestational diabetes mellitus (GDM) negatively affects the quality of life of pregnant women and is influenced by several factors. Research to date treats pregnant women with gestational diabetes as a homogeneous group based on their quality of life. We attempted to identify subgroups based on self-reported quality of life and explored variables associated with subgroups.

METHODS

From September 1, 2020 to November 29, 2020, pregnant women with GDM from two hospitals in Guangdong Province were selected as subjects by convenience sampling method. Medical records provided sociodemographic data, duration of GDM, pregnancy status, and family history of diabetes. Participants completed validated questionnaires for quality of life, anxiety and depression. Latent profile analysis was used to identify profiles of quality of life in pregnant women with GDM, and then a mixed regression method was used to analyze the influencing factors of different profiles.

RESULTS

A total of 279 valid questionnaires were collected. The results of the latent profile analysis showed that the quality of life of pregnant women with GDM could be divided into two profiles: C1 "high worry-high support" group (75.6%) and C2 "low worry-low support" group (24.4%). Daily exercise duration and depression degree are negative influencing factors, making it easier to enter the C1 group (p < 0.05). Disease duration and family history of diabetes are positive influencing factors, making it easier to enter the C2 group (p < 0.05).

CONCLUSION

The quality of life of pregnant women with GDM had obvious classification characteristics. Pregnant women with exercise habits and depression are more likely to enter the "high worry-high support" group, and health care providers should guide their exercise according to exercise guidelines during pregnancy and strengthen psychological intervention. Pregnant women with a family history of diabetes and a longer duration of the disease are more likely to fall into the "low worry-low support" group. Healthcare providers can strengthen health education for them and improve their disease self-management abilities.

Latent profile analysis and related factors of post-traumatic growth in young and middle-aged patients with acute myocardial infarction

BACKGROUND

AMI incidence in young and middle-aged patients is increasing year by year, and such patients are prone to negative emotions after illness, which affects health outcomes. However, post-traumatic growth can bring about positive changes in the patient, which is beneficial to their recovery.

OBJECTIVES

This study aimed to understand the different types of post-traumatic growth characteristics and their related factors in young and middle-aged patients with acute myocardial infarction to help find precise intervention measures.

METHODS

This was a cross-sectional study. Self-reported questionnaires were used to assess general demographic characteristics, post-traumatic growth, and rumination. The mean of the five dimensions of the Post-traumatic Growth Scale was used to perform a Latent profile analysis.

RESULTS

A total of 312 participants, including 285 male and 27 female patients, with the mean age was 51.95±5.75. Latent profile analysis results showed that three-profile model was the most suitable. Three different profiles were named: the "Malgrowth group" (45.51%), the "Good growth group" (18.91%), and the "Excellent growth group" (35.58%). The related factors included rumination, age, monthly income, whether to return to work, marital status, residential address, classification of disease, and whether to perform PCI treatment (P<0.05).

CONCLUSION

According to our results, the post-traumatic growth of young and middle-aged AMI patients can be divided into three profiles, and targeted intervention can be carried out for patients according to the determined patient profiles.

Correlation Between Severity of Symptoms and Quality of Life in Patellofemoral Pain Syndromes: A Cross-Sectional Study

Background Patellofemoral pain syndrome (PFPS) is one of the conditions frequently encountered by musculoskeletal physiotherapists. The intensity and severity of pain and symptoms seen in PFPS affect the quality of life (QOL). This concept has not yet been investigated with the use of reliable and valid scales. Hence, the objective of this study is to find out the correlation between the severity of symptoms and QOL in patients with PFPS. Methodology In this cross-sectional study, 63 patients with PFPS, aged between 40 and 60 years, who visited Sir Sayajirao General Hospital, Vadodara, from December 2018 to June 2019, were included. The questionnaires included in the study comprised the Numerical Pain Rating Scale (NPRS), the Knee Osteoarthritis Outcome Survey-Patellofemoral Subscale (KOOS-PF), and the Short Form-36 (SF-36). Spearman's rank correlation coefficient was used to find the correlation. Results NPRS was found to have a fairly positive correlation with the functional scale KOOS-PF, with a P-value of 0.008. Among the eight components of SF-36, Physical Function and General Health scores exhibited a fairly positive correlation with NPRS, with p-values of 0.016 and <0.001, respectively. However, no correlation was observed between NPRS and the other components of SF-36. Conclusions This study concluded that patients with PFPS with different levels of pain exhibit different functional and QOL limitations. Furthermore, studies investigating the causes of the negative correlation should be conducted to have a better understanding of QOL in PFPS.

Health-related quality of life profiles in adolescents and young adults with chronic conditions

PURPOSE

To assess health-related quality of life (HRQOL) among adolescents and young adults (AYAs) with chronic conditions.

METHODS

AYAs (N = 872) aged 14-20 years completed NIH's Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures of physical function, pain interference, fatigue, social health, depression, anxiety, and anger. Latent profile analysis (LPA) was used to group AYAs into HRQOL profiles using PROMIS T-scores. The optimal number of profiles was determined by model fit statistics, likelihood ratio test, and entropy. Multinomial logistic regression models were used to examine how LPA's HRQOL profile membership was associated with patient demographic and chronic conditions. The model prediction accuracy on profile membership was evaluated using Huberty's I index with a threshold of 0.35 for good effect.

RESULTS

A 4-profile LPA model was selected. A total of 161 (18.5%), 256 (29.4%), 364 (41.7%), and 91 (10.4%) AYAs were classified into Minimal, Mild, Moderate, and Severe HRQOL Impact profiles. AYAs in each profile had distinctive mean scores with over a half standard deviation (5-points in PROMIS T-scores) of difference between profiles across most HRQOL domains. AYAs who were female or had conditions such as mental health condition, hypertension, and self-reported chronic pain were more likely to be in the Severe HRQOL Impact profile. The Huberty's I index was 0.36.

CONCLUSIONS

Approximately half of AYAs with a chronic condition experience moderate to severe HRQOL impact. The availability of risk prediction models for HRQOL impact will help to identify AYAs who are in greatest need of closer clinical care follow-up.

Sustainable Health-Related Quality of Life in Older Adults as Supported by the vINCI Technology

The vINCI technology represents an innovative instrument developed specifically but not exclusively for older adults by technology researchers together with a medical team specialized in geriatrics and gerontology. It was designed to be independently and effortlessly used by older adults in the comfort and safety of their own environment. It is a modular and flexible platform that can integrate a large array of various sensors and can easily adapt to specific healthcare needs. The pilot study tested sensors and standardized instruments capable of evaluating several care-related parameters and of generating personalized feedback for the user dedicated to optimizing physical activity level, social interaction, and health-related quality of life. Moreover, the system was able to detect and signal events and health-related aspects that would require medical assistance. This paper presents how the innovative vINCI technology improves quality of life in older adults. This is evidenced by the results obtained following the clinical validation of the vINCI technology by older adults admitted to the Ana Aslan National Institute of Gerontology and Geriatrics (NIGG) in Bucharest.