Aims: To explore the risk factors for poor medication adherence in older people with hypertension.Design: A cross‐sectional study.Methods: Participants were administered with a self‐report questionnaire about their demographic characteristics; additionally, their four‐item Morisky Medication Adherence Scale scores were calculated. The STROBE checklist was applied as the reporting guideline for this study (File S1).Results: Univariate analysis indicated that the following five factors were statistically significantly associated with medication adherence: education level (χ² = 8.073, p = .045), co‐living (χ² = 11.364, p = .010), hypertension complications (χ² = 10.968, p = .001), admission blood pressure (χ² = 8.876, p = .003), and falls (χ² = 6.703, p = .010). Multivariable binary logistic regression analysis showed that there were four statistically significant predictors, such as people who lived with spouses and offspring (OR = 3.004, p = .017), and those who had high admission blood pressure (OR = 1.910, p = .003) had a greater risk of poor medication adherence, whereas those without hypertension complications (OR = 0.591, p = .026) and those without falls (OR = 0.530, p = .046) had a lower risk.Relevance to clinical practice: We believe that these findings contribute to the identification of high‐risk people with poor adherence, allowing nurses to identify people with poor adherence in a timely manner, and pay attention to the people's medication.

Ambient air particulate matter with aerodynamic diameters ≤2.5 μm (PM _2.5 ) can cause pulmonary injury.

Background: Nursing students face significant psychological challenges, with general self‐efficacy (GSE) serving as a critical protective factor. Although family socioeconomic status (SES) and family relationship quality (FRQ) have been linked to GSE, their underlying pathways and the moderating role of institution type (vocational vs. undergraduate colleges) remain unclear. This study aimed to examine the association between SES and GSE among nursing students, focusing on FRQ as a mediator and institution type as a moderator. Methods: A cross‐sectional survey of 1461 nursing students from two Chinese medical institutions was conducted. SES was derived from five socioeconomic indicators using principal component analysis. FRQ was constructed as a latent variable from three observed items using confirmatory factor analysis. GSE was measured using the General Self‐Efficacy Scale. Mediation and moderated mediation analyses were performed using PROCESS macros. Results: SES was positively associated with GSE ( B = 0.313, p = 0.004). FRQ partially mediated the relationship between SES and GSE in the total sample ( β = 0.060, 95% CI [0.009, 0.115]). However, this mediation was only significant among undergraduates ( β = 0.118, 95% CI [0.043, 0.201]) and not among vocational students ( β = −0.005, 95% CI [−0.060, 0.051]). Institution type moderated both the direct effect of SES on GSE and the indirect effect via FRQ, with stronger associations among undergraduate students. Specifically, simple slope test showed that SES was associated with GSE among undergraduates ( β = 0.455, 95% CI [0.191, 0.720]) but not among vocational students ( β = 0.021, 95% CI [−0.324, 0.367]). Conclusions: Family SES was positively associated with nursing students’ GSE directly and indirectly via FRQ, and these associations were stronger among undergraduate than among vocational students. These findings suggest that considering both family resources and educational context may be useful when designing targeted interventions to foster GSE among nursing students.

Background: Psychological distress and suicidal ideation frequently co‐occur among nursing students, but their heterogeneity is often overlooked. Objectives: To identify latent profiles of nursing students based on psychological distress and suicidal ideation dimensions, and to explore factors associated with profile membership. Methods: A cross‐sectional survey of 1461 Chinese nursing students was conducted. Latent profile analysis (LPA) was applied to psychological distress and suicidal ideation dimensions to identify profiles, and multinomial logistic regression was used to examine factors associated with profile membership. Results: Three latent profiles emerged: C1: Low distress–low suicidal ideation (60.4%), C2: moderate distress–moderate suicidal ideation (30.8%), and C3: high distress–high suicidal ideation (8.8%). Multinomial regression revealed factors associated with C2/C3 vs. C1, including poor sleep quality, internet overuse/addiction, and moderate self‐efficacy. Factors associated with lower likelihood of C2 vs. C1 included good academic performance, moderate/high self‐esteem, and moderate/high time management skills. Factors associated with higher likelihood of C3 vs. C1 included higher body mass index (BMI), undergraduate institution enrollment, morning/neutral chronotypes, whereas exercise ≥1 time/week and a good parental relationship were associated with lower likelihood of C3 vs. C1. Conclusion: Nursing students exhibit three profiles, with 8.8% belonging to C3. Profile‐informed screening and preventive strategies considering factors associated with profile membership (sleep quality, internet addiction, exercise frequency, time management, self‐esteem, and self‐efficacy) and contextual stressors (institution type, BMI, and parental relationship) may inform future screening approaches for students exhibiting elevated psychological distress and suicidal ideation patterns.