Conectar
To examine how gender differences in the nursing work environment shape nurses' perceived quality of care and to identify gender-specific predictors and evaluative mechanisms.
A mixed-methods design was employed, integrating quantitative data analysis with qualitative in-depth individual interviews.
This study was conducted in two phases: The first phase was a quantitative analysis, based on a large national dataset from the 2017 Chinese Nursing Work Environment Survey (N = 16,382), in which secondary analysis was performed using hierarchical linear regression, relative importance analysis, and network analysis to identify key predictors. The second phase was a qualitative study, in which in-depth individual interviews were conducted with 30 clinical nurses (15 male and 15 female), and thematic analysis was applied to explore gender-differentiated experiences.
The core finding of this study is that gender-differentiated factors within the work environment significantly shape nurses' perception of care quality. Quantitative results showed that the strongest predictor for female nurses was professional development, whereas recognition of value was most salient for male nurses. Qualitative results corroborated these findings: female nurses emphasised continuing education and emotional support, while male nurses emphasised fair evaluation and professional identity. Both groups reported that high-intensity workloads hindered the delivery of ideal humanistic care, inducing moral distress and emotional suppression and exposing ethical gaps in organisational support.
Gender differences in the nursing work environment shape pathways to perceived care quality and expose deeper managerial and ethical challenges. A gender-sensitive, ethics-oriented management approach can enhance nurse satisfaction and care quality, providing empirical support for optimising workforce allocation and sustaining healthcare systems.
Findings direct nurse leaders to tailor improvement strategies—enhancing professional-development infrastructure for women and strengthening recognition mechanisms for men—while embedding explicit ethical support to reduce moral distress and improve both workforce well-being and patient outcomes.
No patient or public contribution.
To explore the network characteristics of symptom clusters in people with type 2 diabetes mellitus through network analysis, identify the core and bridging symptoms within the symptom network, and provide a foundation for targeted interventions and symptom management in people with T2DM.
A cross-sectional survey.
A total of 360 people with T2DM who were hospitalised in the endocrinology departments of two hospitals with Grade A in Daqing City between August 2024 and February 2025 were selected using a convenience sampling method. The symptoms of people with T2DM were measured using the Chinese version of the Diabetes Symptom Checklist-Revised (DSC-R). Symptom clusters were identified through factor analysis, and network analysis was used to identify core and bridging symptoms. This research adhered to the STROBE guidelines.
Six symptom clusters were obtained from factor analysis, which were psychological-behavioural symptom cluster, ophthalmological-neuropathy symptom cluster, cardiovascular symptom cluster, metabolic symptom cluster, body symptom cluster and nephrotic symptom cluster. Symptom network analysis revealed that ‘Deteriorating vision’ exhibited the highest strength centrality and expected influence. The top three symptoms with the highest bridge strength and bridge expected influence were ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’.
People with T2DM commonly exhibit a range of symptoms. ‘Deteriorating vision’ is the most core symptom in people with T2DM. ‘Aching calves when walking’, ‘Queer feeling in the legs or feet’ and ‘Sleepiness or drowsiness’ are identified as the bridging symptoms in the network analysis. Healthcare professionals can design targeted interventions based on symptom clusters, core symptoms and bridging symptoms, thereby improving the efficiency of symptom management and optimising outcomes for people with T2DM.
No patient or public contribution.
To explore the heterogeneity of disease-specific anxiety profiles among patients with chronic obstructive pulmonary disease (COPD) using latent profile analysis (LPA), and to identify the associations between distinct anxiety subtypes and inhaler medication adherence in patients with COPD.
Adherence to inhaled medication among patients with COPD continues to be suboptimal. Anxiety, a common comorbidity, may exacerbate this issue. However, the specific relationship between anxiety and adherence to inhaled medications remains unclear.
A prospective cohort study was conducted following the STROBE Checklist.
A prospective observational study employed the Anxiety Inventory for Respiratory Disease (AIR) to assess disease-specific anxiety in patients with COPD. Inhaler medication adherence was evaluated using the Test of Adherence to Inhalers (TAI) 6 months after initiating treatment. Latent Profile Analysis (LPA) was performed to identify distinct anxiety subtypes. Multiple linear regression analysis was conducted to examine the associations between identified anxiety subtypes and adherence dimensions, adjusting for sociodemographic and clinical variables.
Among 298 COPD patients, the overall AIR score was 5 (IQR: 2–11). Using LPA, three distinct anxiety subtypes were identified: Low Anxiety—Irritable Subtype (57.05%), Moderate Anxiety—Tense Subtype (26.85%) and High Anxiety—Anticipatory Subtype (16.10%). Through multiple linear regression analysis, the High Anxiety—Anticipatory Subtype was significantly associated with lower inhaler medication adherence among COPD patients.
This study revealed three latent profiles of disease-specific anxiety among COPD patients. The High Anxiety–Anticipatory Subtype was associated with a lower inhaler medication adherence in individuals with COPD after initiating treatment.
Identifying the relationship between disease-specific anxiety and inhaler medication adherence in patients with COPD after initiating treatment underscores the need for healthcare providers to assess anxiety during patient visits and prioritise patients with high anticipatory anxiety. When high anxiety adversely affects inhaler medication adherence, targeted interventions should be developed to improve adherence and prognosis.
No patient or public contribution.
To explore frail older adults' preferences and needs regarding mobile health (mHealth) exercise interventions in China. Additionally, it sought to identify the nudge strategies necessary for initiating and sustaining exercise behaviours among frail older adults.
A qualitative study.
The semi-structured interviews were conducted between April and May 2024 from two communities in Changsha, China. The data were analysed using a deductive framework analysis aligned to nudge theory, and an inductive thematic analysis to gather relevant needs and preferences.
This study involved 14 participants with pre-frailty or frailty, aged 60–82 years (median age of 64 years). While participants were generally receptive to new technologies, lower levels of health literacy and competing priorities often hindered their participation. Three primary functionality requirements were as follows. (1) Profession engagement: tailored exercise prescription, professional and timely feedback and guidance; (2) personalised knowledge encompassing pain management, successful cases and inspiration; (3) beneficial, tailored, dynamic, fragmented, challenging exercise courses. Participants showed positive attitudes towards simplification nudges, gamification nudges, social nudges, trustworthy nudges, reminder nudges, economic nudges, feedback nudges and pre-commitment nudges. Addressing privacy concerns was essential to build trust and acceptance among older adults.
These findings emphasised the importance of designing mHealth interventions that address frail older adults' specific needs and preferences while incorporating effective nudge strategies to promote engagement and adherence. Future researchers should explore wearables, ChatGPT language models, virtual coaching assistants, exercise snack to further optimise the experience and analyse the effects of nudges in mHealth exercise interventions among older adults.
Exercise systems or app development for frail older adults should meet three basic functionality and essential nudge strategies.
The consolidated criteria for reporting qualitative research (COREQ) guidelines were used for reporting.
Older adults' engagement and interview data contribute a lot.
To classify the unmet integrated care needs of older adults with multimorbidity and to explore the factors associated with different categories of unmet integrated care needs among the target population.
A cross-sectional survey using the statistical method of latent profile analysis.
From July 2022 to March 2023, 397 older adults with multimorbidity, aged 60 years or older, were recruited from one primary healthcare setting and from four secondary and tertiary hospitals to participate in face-to-face questionnaire surveys. The questionnaire used in this study to assess unmet integrated care needs among older adults with multimorbidity was self-designed through a series of steps, including a scoping review, expert consultation and cognitive interviews. Latent profile analysis was applied to uncover distinct profiles of unmet integrated care needs, and multinomial logistic regression was employed to explore whether the profiles were further distinguished by participants' sociodemographic and health-related covariates. The data were analysed using IBM SPSS v.29.0 and Mplus v.8.0.
The optimal solution was a four-profile model, characterised by high unmet integration needs, high unmet system integration needs, low unmet system integration needs and low unmet integration needs, respectively. Multinomial logistic regression results indicated that profile differences were associated with place of residence, number of coresidents and the presence or absence of complex multimorbidity.
The integrated care needs of older adults with multimorbidity have not yet been fully met. Classifying and characterising unmet integrated care needs profiles is a crucial step in the rational allocation of integrated care resources.
This study was reported based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for cross-sectional studies.
All participants were older adults with multimorbidity, and they were informed that they could withdraw from the study at any time.
This study aimed to investigate the effects of glycaemic control and diabetes distress on frailty in older Chinese patients with diabetes, and to explore the mediating role of diabetes distress between glycaemic control and frailty.
This is a descriptive, cross-sectional study. A total of 209 older patients with diabetes were recruited from a teaching hospital in Zhejiang Province. Data were collected from February to September 2022.
A self-designed questionnaire was used to collect demographic and disease-related data. The Fried Scale and Diabetes Distress Scale were employed to assess frailty and diabetes distress, respectively The bootstrap method was used to examine the mediating effects of diabetes distress on glycaemic control and frailty. The STROBE checklist was adhered to in the reporting of this study (see details in File S1).
The findings indicated a positive correlation between the level of glycaemic control and frailty, as well as between diabetes distress and frailty. Furthermore, diabetes distress was found to play a complete mediating role between glycaemic control and frailty.
The study findings highlight the relationship between glycaemic control, diabetes distress and frailty offering a valuable reference for enhancing the management of frailty in older patients with diabetes.
This study emphasizes the significance of managing glycaemic control and diabetes distress in older patients with diabetes to prevent frailty, and may contribute for healthcare professionals to developing effective measures to improve the frailty of older diabetic patients in clinical settings.
This study was conducted with the participation of older patients with diabetes who contributed data by completing study questionnaires and undergoing physical assessments.
To investigate the prevalence of physical inactivity in older adults living in nursing homes and explore the determinants of physical inactivity by using the Capability, Opportunity, Motivation–Behaviour model.
A multisite, cross-sectional study was performed by convenience sampling and questionnaire survey.
A total of 390 nursing home residents were recruited from three nursing homes in Southern China from May 2022 to April 2023. The participants completed a self-designed general information questionnaire, Physical Activity Scale for the Elderly, Self-Efficacy for Exercise Scale, Exercise Benefits Scale, Patient Health Questionnaire-9 and the Short Physical Performance Battery test. Descriptive statistics, univariate analysis, Spearman correlation analysis, and ordinal logistic regression were applied for data analysis.
The prevalence of physical inactivity among the nursing home residents reached 88.46%. Ordinal logistic regression results showed that exercise self-efficacy, perceived exercise benefits, physical function, availability of physical activity instruction, having depression, number of chronic diseases and living with spouse were the main influencing determinants of physical inactivity and explained 63.7% of the variance.
Physical inactivity was considerable in nursing home residents in China and influenced by complex factors. Tailored measures should be designed and implemented based on these factors to enhance physical activity while considering the uniqueness of Chinese culture.
Healthcare professionals should enhance physical activity of residents by increasing benefits understanding, boosting self-efficacy, improving physical function, alleviating depression and integrating personalized physical activity guidance into routine care services. And more attention should be paid to the residents who had more chronic diseases or did not live with spouse.
Physical inactivity is a significant problem in nursing home residents. Understanding physical inactivity and its determinants enables the development of tailored interventions to enhance their physical activity level.
This study was reported conforming to the STROBE statement.
Nursing home residents who met the inclusion criteria were recruited.
Physical frailty (PF) is highly prevalent and associated with undesirable outcomes in stroke survivors aged 65 years or older. However, the long-term trajectories of PF are understudied in those older stroke survivors.
To identify PF trajectories and relative predictors associated with the PF trajectories in older stroke survivors.
This is a secondary analysis of a population-based cohort study in the United States.
Six hundred and sixty-three older stroke survivors from the National Health and Ageing Trends Study from 2015 to 2021 were included. PF was operationally assessed based on the Fried Frailty Phenotype. Trajectories were identified by group-based trajectory modelling. The associations between sociodemographic characteristics, clinical factors, symptoms, cognitive factors and PF trajectories were examined using the design-based logistic regression method.
Most older stroke survivors were 75 and older (63.32%), female (53.99%), white (80.54%) and partnered (50.64%). Two PF trajectory groups were identified (Group 1: low risk, robust; 49.47%; Group 2: high risk, deteriorating; 50.53%). Individuals were at a higher risk to be assigned to Group 2 if they were 75–84 years (adjusted odds ratio [aOR]: 2.16, 95% CI: 1.23–3.80) or 85+ years (aOR: 2.77, 95% CI: 1.52–5.04), had fair self-reported health (aOR: 2.78, 95% CI: 1.53–5.07) or poor self-reported health (aOR: 3.37, 95% CI: 1.51–7.52), had comorbidities (aOR: 8.44, 95% CI: 1.31–54.42), had breathing problems (aOR: 2.18, 95% CI: 1.18–4.02) and had balance problems (aOR: 1.70, 95% CI: 1.06–2.73).
PF trajectories in older stroke survivors were heterogeneous and were associated with age, self-rated health status, comorbidities, breathing problems and balance problems.
Early, routine, dynamic screening for stroke-related physical frailty (PF) and relative predictors might be beneficial for identifying the most vulnerable individuals. Our findings might help develop strategies to manage PF progression.
The reporting followed the STROBE guideline.
FreshRSS 