Health-Promoting Lifestyle Profile-II Research Articles

The impact of health literacy on health-promoting lifestyle among community residents: the chain-mediating role of family health and physical activity

BackgroundAdopting health-promoting lifestyle (HPL) is crucial for improving overall well-being and reducing the risk of chronic diseases. The relationship between health literacy (HL) and HPL among Chinese community residents is complex, with potential mediating factors yet to be fully understood. Family health and physical activity (PA) may play significant roles in this relationship. This study aims to construct a chain mediation model to explore whether family health and PA mediate the effects of HL on HPL in Chinese community residents.MethodsUsing the convenient sampling method, 1,072 Chinese community residents were selected for a cross-sectional study. All participants completed a self-report questionnaire that collected demographic information, as well as data from the Health Literacy Scale Short-Form (HLS-SF12), Family Health Scale Short-Form (FHS-SF), Physical Activity Rating Scale (PARS-3), and Health Promoting Lifestyle Profile-II Revise (HPLP-II R). Data were analyzed using SPSS 26.0, with mediation analysis performed using the SPSS PROCESS macro.ResultsThere were significant pairwise correlations between HL, family health, PA, and HPL (p < 0.01). HL was directly linked to HPL (effect = 0.442; SE = 0.025; 95% CI: 0.392, 0.491). Additionally, three indirect pathways were identified: family health independently mediated 6.02% of the effect (effect = 0.032; SE = 0.010; 95% CI: 0.013, 0.051), PA also independently mediated 9.02% of the effect (effect = 0.048; SE = 0.010; 95% CI: 0.030, 0.068), and a combined chain mediation through both family health and PA accounted for 1.88% of the effect (effect = 0.010; SE = 0.003; 95% CI: 0.005, 0.017).ConclusionHL not only has a direct impact on promoting HPL but also influences it indirectly through the mediating roles of family health and PA. These insights elucidate the mechanisms by which HL affects HPL, providing valuable theoretical guidance for the development and implementation of effective strategies to encourage healthy lifestyle practices.

Determining the relationship between the fear of Coronavirus and healthy lifestyle behaviors in midwifery students in Türkiye

The new coronavirus (COVID‑19) pandemic, midwifery students, who are usually more interested in face-to-face practical learning, have shifted to online learning, changing their fear and healthy lifestyle behaviors. The present research aimed to determine the relationship between the fear of COVID-19 and healthy lifestyle behaviors in midwifery students in Türkiye. This cross-sectional study was performed on 313 midwifery students in the midwifery department of a university in Türkiye from April to June 2021. The data were collected with the student descriptive information form, Fear of Coronavirus Scale (FCV-19S), and Health-Promoting Lifestyle Profile-II(HPLP-II). The data were analyzed with mean score, standard deviation, number and percentage values, independent sample t-test, ANOVA, Pearson’s correlation test. The FCV-19S total mean score was moderate with 17.37±5.61. The total mean score on the HPLP-II was 129.93±21.50, students received the highest mean score on the spiritual development sub-dimension (26.17±5.01) and the lowest mean score on the physical activity sub-dimension (17.05±5.08). It was found that midwifery students had a moderate fear of COVID-19 and displayed moderate healthy lifestyle behaviors.

Factors influencing health-promoting behavior among single mothers in Northeastern Malaysia: a cross-sectional study.

Health-promoting behaviors (HPB) play a vital role in maintaining and enhancing overall well-being. Single mothers are at higher risk of cardiovascular disease (CVD) and less involvement in HPB due to psychosocial disadvantages. This study aimed to determine the HPB scores and factors influencing HPB among single mothers in Kelantan (Northeastern, Malaysia). This study employed a cross-sectional design, selecting 242 single mothers from Kelantan through proportional stratified sampling. Data were gathered through questionnaires covering sociodemographic details, the Health-Promoting Lifestyle Profile-II (HPLP-II), the Malay Version of Health Beliefs Related to Cardiovascular Disease (HBCVD-M), and Multidimensional Perceived Social Support (MPSS). The relationships between the dependent variable (HPB) and independent variables were analyzed using multivariable linear regression models. The respondents achieved an average HPB score of 118.03 (SD = 19.2), with the highest mean scores in spiritual growth (22.46 [SD = 3.70]) and interpersonal relationships (22.05 [SD = 3.67]). Physical activity had the lowest mean score at 15.09 (SD = 4.62). Significant positive associations were found between HPB and perceived severity of CVD (adjusted β = 1.60; 95% CI [0.68-2.53]; p<0.001) as well as perceived social support (adjusted β = 0.63; 95% CI [0.37-0.90]; p<0.001). Conversely, educational level (adjusted β = -10.36; 95% CI [-16.06 to -4.67]; p<0.001) and perceived benefits of reducing CVD risk (adjusted β = -1.43; 95% CI [-2.37 to -0.48]; p<0.001) were negatively associated with HPB. The findings highlight the importance of health beliefs, social support, and education in shaping HPB among single mothers. Community health initiatives targeting this population should develop strategies to strengthen individuals' health beliefs and promote a supportive environment.

Prospective relationship between Electronic Health Literacy and Health-promoting Lifestyle among Chinese Older Adults: A Three-wave Longitudinal Study

BackgroundImproving older people’s health-promoting lifestyle (HPL) may slow the progression of health conditions and improve quality of life. Electronic health (eHealth) literacy is increasingly important for individuals managing health in the digital age. Previous cross-sectional studies have shown a positive association between eHealth literacy and HPL among older adults. However, no longitudinal studies have examined the association over time, their temporal relationship, and the potential underlying mechanisms. ObjectivesTo examine the longitudinal association and temporal relationship between eHealth literacy and HPL among older adults, and to explore their underlying mechanism based on the Integrated Model of eHealth Use (iMeHU). MethodsThis longitudinal study was conducted among older adults in Jiangxi Province, China, from February to November 2022. Data were collected at baseline (T1) and 3-month (T2) and 6-month follow-up (T3), using online self-reported questionnaires. Older people’s eHealth literacy and HPL were measured using the Digital Health Literacy Instrument and Health-Promoting Lifestyle Profile-II. Statistical analyses included Linear mixed model (LMM), cross-lagged panel model (CLPM), longitudinal mediation analysis, and multi-group analysis. Results611 participants were included at T1; 464 (75.9%) completed the follow-ups at T2 and T3. The LMM results suggested that older individuals with higher eHealth literacy levels showed better HPL over time (adjusted β = 0.31, 95%CI: 0.27∼0.35, p<.001), after adjusting for covariates. CLPMs supported that eHealth literacy could predict older people’s improved HPL subsequently, but not the reverse. Attitude towards eHealth mediated the relationship from eHealth literacy to improved HPL, with a mediated proportion of 17.2%. In addition, the prospective relationships were stronger and only significant in older patients. ConclusionsFrom a longitudinal perspective, this study highlighted the important roles of eHealth literacy and attitude towards eHealth in improving older people’s HPL, especially for the patients. The findings provide robust evidence and practical implications to develop targeted interventions.

The Relationship between the Lifestyle of the Allogeneic Stem Cell Donors and the Number of Donated CD34+ and CD3+ Cells.

Background: Hematopoietic stem cell transplantation (HSCT) is considered as the last treatment option in many life-threatening diseases. The number of donated cells can affect transplantation success. This study attempted to investigate the relationship between the health-promoting lifestyle of allogeneic stem cell donors and the number of donated CD34+ and CD3+ cells. Materials and Methods: The study was a descriptive correlational study in which 100 peripheral blood stem cells donors participated. A demographic form and health-promoting lifestyle profile-II questionnaire were distributed to participants, and then cell separation was started. Afterward, the results of CD34 + and CD3 + cell counts, as well as other clinical parameters of the participants, were recorded. The collected data were analyzed by descriptive and analytical statistical methods. Results: The results showed that the mean total health-promoting lifestyle profile score for hematopoietic stem cell donors was 2.876±0.461. There was no significant relationship between the health- promoting lifestyle score and the number of CD34+, CD3+ cells and CD3+/CD34+ ratio. A positive and significant correlation was found between the weight of the donors and the number of CD34+ (P < 0.001) and CD3+ cells (P = 0.001). The number of CD34+ cells was significantly different between women and men (P = 0.009). Conclusion: Lifestyle had no significant effect on the number of CD3+/CD34+ cells. Moreover, the number of CD34+ cells was significantly higher in men, so males should be preferentially recruited as donors for the HSCT procedure.

Reliability and Validity of the Health-Promoting Lifestyle Profile II Spanish Version in University Students.

The purpose of this study was to assess the reliability and validity of the Spanish version of the Health Promoting Lifestyle Profile II (HPLP-II) scale in Colombian university students. This was a methodological study to verify reliability and construct validity. A total of 763 undergraduate university students in Cali, Colombia, agreed to participate in the study by filling out a form that included information on sociodemographic characteristics and the HPLP-II scale Spanish version. Data were collected between February and June 2021. To determine construct validity, a confirmatory factor analysis was performed, and internal consistency was determined through Cronbach's alpha. The confirmatory factor analysis of the proposed theoretical model showed that the goodness-of-fit indices of the scale demonstrated an acceptable level of validity nearing an excellent level of fit (χ2 = 7168.98; gl = 1268; p < 0.001; root mean square error of approximation = 0.08; normed fit index, adjusted goodness-of-fit index = 0.95). Cronbach's alpha coefficient of the scale was 0.94, and the subscales ranged from 0.68 to 0.89. The HPLP-II Spanish version is a valid and reliable instrument to assess the health-promoting lifestyle profile of university students.

Factors effecting on health-promoting behaviors in iranian pregnant women and their husbands: the actor-partner interdependence model (APIM)

IntroductionPregnancy is an important period of life for women and their husbands as the couple’s health is essential. The present study evaluated the impact of some factors (marital adjustment with depressive symptoms) on health-promoting behaviors in pregnant women and their husbands based on the actor-partner interdependence model (APIM).Materials and methodsThis descriptive study examined 211 couples (pregnant women and their husbands) in pregnancy clinics of Babol University of Medical Sciences using a convenience sampling method. The participants completed Spanier’s Dyadic Adjustment Scale (DAS) (1979), Edinburgh Postnatal Depression Scale (EPDS) (1987), and Walker’s Health Promoting Lifestyle Profile II (HPLPII) questionnaire (1997). The relationships between women and their husbands were also evaluated using structural equation modeling with R software according to the Lavaan (latent variable analysis) package based on APIM-SEM.ResultsThe pregnant women’s marital adjustment positively affected their health-promoting behaviors (β = 0.456, 95% Cl: 0.491–0.998, p < 0.001) and their husbands’ (β = 0.210, 95% Cl: 0.030–0.726, p = 0.048). Pregnant woman’s depressive symptoms also negatively affected their health-promoting behaviors (β=-0.088, 95% Cl: -0.974–0.074, P = 0.236) and their husbands’ health-promoting behaviors (β=-0.177, 95% Cl: -0.281 – -0.975, P = 0.011). Furthermore, the husband’s marital adjustment only positively affected his studied behaviors (β = 0.323, 95% Cl: 0.0303–0.895, P < 0.001) but did not affect the pregnant woman’s health behaviors. The husband’s depressive symptoms had a negative impact on his studied behaviors (β = 0.219, 95% Cl: -0.122 – -0.917, P = 0.001) and did not affect the pregnant woman’s depressive symptoms. Our findings confirmed the mediating role of depressive symptoms in pregnant women and their husbands on the association of marital adjustment and health-promoting behaviors. According to the actor-partner study, a pregnant woman’s marital adjustment scores positively affected her studied behaviors and her husband (β = 0.071, 95% Cl: 0.042–0.278, P = 0.015) by decreasing her depression score. Therefore, the husband’s marital adjustment score positively affected his studied behaviors by decreasing his depression score (β = 0.084, 95% Cl: -0.053 -0.292, P = 0.005), and it did not affect his wife’s health-promoting behaviors.Discussion and conclusionThese findings suggest healthcare providers, obstetricians, and psychologists evaluate the husbands’ symptoms of depression and health-promoting behaviors in the routine pregnancy care of pregnant women. They also pay great attention to marital adjustment as a determinant of reducing depressive symptoms in pregnant women and their husbands.

Factors associated with intrinsic capacity impairment in hospitalized older adults: a latent class analysis

BackgroundIntrinsic capacity (IC) is proposed by the World Health Organization (WHO) to promote healthy aging. Although some studies have examined the factors influencing IC, few studies have comprehensively confirmed lifestyle factors on IC, especially IC impairment patterns. The present study aimed to identify the patterns of IC impairment and explore the lifestyle and other factors associated with different patterns of IC impairment.MethodsThis cross-sectional study was conducted in a Chinese geriatric hospital. IC was evaluated in five domains according to the recommendations of WHO: cognition, locomotion, vitality, sensory and psychological domains. The sociodemographic and health-related characteristics of participants were assessed.The health promoting lifestyle was evaluated using the Health-Promoting Lifestyle Profile-II scale, including nutrition, health responsibility, interpersonal relationships, physical activity, spiritual growth and stress management. We applied latent class analysis to identify IC impairment patterns and compared basic activities of daily living, instrumental activities of daily living, frailty, quality of life and falls among different IC impairment patterns. Multinomial logistic regression analysis was conducted to identify factors influencing the IC impairment patterns.ResultsAmong 237 participants included, the latent class analysis identified three patterns of IC impairment: 44.7% high IC (Class 1), 31.2% intermediate IC mainly locomotor impairment (Class 2) and 24.1% low IC mainly cognitive impairment (Class 3). Older adults in class 1 had the best function ability and quality of life, while class 3 had the highest levels of disability and frailty, the poorest quality of life and a higher prevalence of falls. Compared with class 1, older adults with advanced age (OR = 22.046, 95%CI:1.735-280.149), osteoporosis (OR = 3.377, 95%CI:1.161–9.825), and lower scores in physical activity (OR = 0.842, 95%CI:0.749–0.945), stress management (OR = 0.762, 95%CI:0.585–0.993) and social support (OR = 0.897, 95%CI:0.833–0.965) were more likely to belong to the class 2. Simultaneously, compared with class 1, older adults with advanced age (OR = 104.435, 95%CI:6.038-1806.410), stroke (OR = 3.877, 95%CI:1.172–12.823) and lower scores in physical activity (OR = 0.784, 95%CI:0.667–0.922) and social support (OR = 0.909, 95%CI:0.828–0.998) were more likely to be class 3. In addition, compared with class 2, older adults with a lower score in nutrition (OR = 0.764, 95%CI:0.615–0.950) were more likely to belong to the class 3.ConclusionsThis study provides evidence that there are heterogeneous IC impairment patterns in older adults and identifies various associated factors in each pattern, including age, stroke, osteoporosis, social support and lifestyle behaviors such as nutrition, physical activity and stress management. It informs stakeholders on which modifiable factors should be targeted through public health policy or early intervention to promote IC and healthy aging in older adults.

Healthy lifestyle behaviors among teachers working in public primary schools and affecting factors.

Healthy lifestyle behaviors have been recognized as a key strategy to achieve a policy of health for all. The aim of this study was to determine the levels of health promotion lifestyle behavior among teachers working in public primary schools. The present study also investigated the effects of selected socio-demographic characteristics on these behaviors. The research was designed using the survey model, one of the quantitative research methods. The sample of the research consisted of public primary school teachers (n = 372). Research data were collected using the Health-Promotion Lifestyle Profile-II (HPLP-II) scale. As a result of the research, it was put forward that there were statistically significant differences in levels of health promotion lifestyle behaviors based on taking courses on health promotion, and following programs and articles about healthy living (p < 0.05). It was revealed that primary teachers' taking courses on health promotion, and following programs and articles affected their healthy lifestyle behaviors. Public primary school teachers' health promotion lifestyle behaviors were found to be moderate. It was found that the primary teachers obtained the highest mean score for the spiritual growth subscale of the health promotion lifestyle behaviors scale; however, the primary school teachers had the lowest mean score for the physical activity subscale, which indicates that they need support in improving their healthy lifestyle. Male teachers had higher mean scores in the physical activity subscale, whereas females had higher mean scores in all other subscales. Training programs to protect and improve the health of teachers should be organized.

Health Promotion Model-Based Health Education Program in Acute Coronary Syndrome Patient: An Experimental Study

Objective: This study was conducted to examine the effect of a Health Promotion Model-based health education program on increasing the health-promoting behaviors of acute coronary syndrome patients.&#x0D; Methods: This is an experimental study that used a pretest-posttest design with a control group. The sample consisted of 101 patients hospitalized with the diagnosis of acute coronary syndrome in Turkey. The data were collected by using a Patient Monitoring Form and the Health Promoting Lifestyle Profile-II. While the patients in the control group received routine procedures, the patients in the experimental group were included in the health education program.&#x0D; Results: The health promoting-behaviors of the control group were found to be higher than those of the experimental group in the first follow-up (p

Health Promoting Lifestyle among Nurses in Indonesia

Background: Nurses are expected to be role models for the surrounding environment, both patients and families, particularly in clean and healthy living behaviours that can reduce the occurrence of obesity. The purpose of this study is to determine the prevalence of obesity and a healthy lifestyle among nurses at the Surabaya Islamic Hospital. Method: a cross-sectional study method with 406 nurses at Surabaya Islamic Hospital recruited by convenience sampling using questionnaires distributed via an online survey. The Health Promoting Lifestyle Profile II (HLP-II) questionnaire was used to collect data from December 2022 to February 2023. Results: According to the findings, 191 nurses (47.04%) were obese. A healthy lifestyle has a total score of 129.77 ± 17.89. Spiritual development received the highest score with 25.39±3.76, interpersonal relationship 23.90 ± 3.60, nutritional 20.98± 3.57, health responsibility 20.34 ±3.93, stress management 19.57 ±3.42, and physical activity 18.04 ±4.27. According to the findings of the Pearson analysis, there was a weak relationship between body mass index and physical activity (r=0.106, p-value = 0.033), as well as body mass index and interpersonal relationships (r=0.120, p-value 0.015). Conclusion: Nurses obesity is a public health issue because nurses are not only self-sufficient individuals, but also role models for those around them. As a result, hospital and government policies to increase awareness of how dangers of obesity are required.

Factors Associated with Lifestyle Behaviors among University Students-A Cross-Sectional Study.

Lifestyle behaviors are daily habits influenced by social and environmental factors. This study examined lifestyle behaviors and their associations with sociodemographics, comorbidities, and pain in Saudi university students during the academic year 2021 and 2022. All students received the study invitation via university emails to complete an online questionnaire. The questionnaire included four sections (sociodemographics, health-related information, desired health promotion activities, and a lifestyle behavior assessment) via Health-Promoting Lifestyle Profile II (HPLP-II). The associations between study variables were assessed using Pearson's correlation and multiple linear regression. The study questionnaire was completed by 1112 students. No correlation was found between sociodemographics and lifestyle-behavior-related factors except for students in the College of Science who appeared to have good lifestyle behaviors (an increase in HPLP II total scores of 3.69). Students with mental health issues have poorer lifestyle behaviors and spend more time sitting (p < 0.00). Students without disabilities have lower scores in health responsibility, physical activity, nutrition, and stress management, while auditory disability specifically lowers health responsibility (p < 0.00). Pain was not associated with any assessed lifestyle behaviors. This study identified several significant correlations and differences between variables such as age, sedentary behavior, sleep duration, disability status, college major, and lifestyle behaviors among PNU students. These findings provide insights into the factors that influence students' health-promoting behaviors and can help guide interventions for promoting healthier lifestyles on campus. Targeted health promotion strategies at an early age could help in decreasing overall noncommunicable disease incidents later in life. The study results should be interpreted taking into consideration that the collected data were cross-sectional and self-reported. In conclusion, the findings of this study clearly demonstrate the need for specific lifestyle and health-promoting programs that are directed toward university students.

Socioecological influencers of health-promoting lifestyles in Chinese: a preliminary survey using convenient samples.

Healthy lifestyles are considered important means to reduce the burden of diseases. This cross-sectional study was conducted based on the Ecological Model of Health Behavior (EMHB) to analyze the factors associated with the health-promoting lifestyles of Chinese residents. We carried out a cross-sectional investigation in July 2023. Our investigated factors included social-demographic characteristics (including sex, age, education level, employment status, marital status, personal monthly income, and daily behavioral habits [which were measured by a questionnaire)], health literacy [which was measured by the Chinese version of the Health Literacy Scale Short-Form scale (HLS-SF12)], and family health [which was measured by the Chinese version of the Short-Form of the Family Health Scale (FHS-SF)]. Our outcome was health promoting lifestyle, which was measured by a revised version of Health Promoting Lifestyle Profile-II (HPLP-IIR). Data were analyzed using stepwise regression. A total of 1,402 participants were enrolled. Higher scores of HLS-SF12 (β = 0.467), having regular exercise (β = 0.212), and regular physical examination (β = 0.088) were associated with better health-prompting lifestyles. However, older age (≥60 years) (β = -0.046), drinking (β = -0.066), and sleeping time (5-6 h/day) (β = -0.048) were associated lower levels of health-prompting lifestyles. Living with family (β = 0.077), FHS-SF (β = 0.104), and married (β = -0.077) were significant influencers. Unemployed (β = -0.048), receiving retirement pay (β = -0.053), and economic support provided by parents (β = 0.094) were associated with better health-prompting lifestyles. There were multiple influencing factors of the six dimensions of the HPLP-IIR. Our findings indicate that community residents with higher health literacy, better family health, and health-related behaviors tend to have better health-promoting lifestyles. Our findings have confirmed the complex impacts of social-ecological factors on health-promoting lifestyles, which may help policy makers with health-promotion strategies making and also help researchers to control for confounding in study design.

Physical Activity Levels and Healthy Lifestyle Behaviors of High School Students

Aim This study aimed to evaluate the relationship between physical activity levels and healthy lifestyle behaviors of high school students. &#x0D; Materials and Method The study data were collected by the use of a personal information form, the Health-Promoting Lifestyle Profile-II, and the Physical Activity Questionnaire for Adolescents. Socio-demographic characteristics such as age, gender, height, weight, parents’ education levels, parents’ occupations, monthly household income level, and family type were all recorded and evaluated with the scale scores comparatively. &#x0D; Results A total of 371 high school students were included in the study. The students’ mean scores from the Health-Promoting Lifestyle Profile-II were 113.29±20.86 points. Male gender, holding healthcare insurance, having health issues, being in the tenth grade of high school, having occupied mothers, and living with their families were found to be associated with higher scores at the Health-Promoting Lifestyle Profile-II. Besides, a statistically significant positive correlation between physical activity and healthy lifestyle behaviors was identified.&#x0D; Conclusion Adolescence is an essential period in which acquired behaviors build the future’s adult life. Based on the results of this study, enhanced physical activity is one of the positive factors to develop a healthy lifestyle. Therefore, the authors conclude that promoting optimal physical activity among adolescents is cruel to improve both today’s and the future’s public health.

Latent classes of health-promoting lifestyle in breast cancer patients undergoing chemotherapy in China: A cross-sectional survey.

To identify the latent classes of a health-promoting lifestyle and examine the associations of latent class profile with individual characteristics of breast cancer undergoing chemotherapy in China in order to provide some insights and recommendations for targeted and individualized health education of health-promoting lifestyle. A descriptive cross-sectional survey design was used for this work. A total of 197 patients with breast cancer undergoing chemotherapy recruited from the Breast Cancer Outpatient Chemotherapy Clinic of a Grade 3A hospital were surveyed. Health-promoting lifestyle was measured using the Health Promotion Lifestyle Profile-II: Chinese Version Short (HPLP-IICR). Latent class analysis was used to examine respondents' health-promoting lifestyle patterns. Associations between the latent class membership and individual characteristics were examined using multinomial logistic regression. Four latent classes were identified: Class 1-Good Nutrition and Poor Physical Activity, Class 2-Poor Health Responsibility and Nutrition, Class 3-Active Health-Promoting Lifestyle, and Class 4-Medium Spiritual Growth and Poor Other Dimensions. Younger respondents and respondents with a higher score in anxiety and depression were more likely to be classified in Class 4 rather than Class 1 or 3. Respondents with low exercise self-efficacy were more likely to be classified in Class 4 than the others. Respondents in Class 4 had more chemotherapy symptom severity and interference, and cases of menopause were fewer in Class 4 rather than Class 3. Those in Class 4 were more likely to have been diagnosed with cancer within 3 months than those in Class 1.

Patterns of sleep quality and its influence factors: A latent class model among students of medical university in Hubei Province, China

BackgroundSleep problem among undergraduate students has become one of the most pressing public health problems. This study aimed to explore the latent class of sleep patterns and the factors affecting sleep in Chinese students of medical university. Methods3423 students participated in the cross-sectional study. The survey consisted of the reduced Morningness-Evening Questionnaire, the Pittsburgh Sleep Quality Index, and Health-Promoting Lifestyle Profile-II. Latent profile analysis and multinominal logistic regression analysis were performed. ResultsThree potential sleep categories were identified: “sleep disorder group” (1.87 %), “daytime dysfunction group” (24.42 %), and “good sleep group” (73.71 %). Compared with the “good sleep group,” the “sleep disorder group” showed monthly living expenses (RMB) ≥ 3000 yuan (OR) = 13.04), interpersonal relationships as poor (OR = 3.71), health status as poor (OR = 45.09), circadian rhythm as eveningness (OR = 6.17), and poor health-promoting lifestyles (OR = 2.090) as its risk factors (all p < 0.05). Meanwhile, sophomore (OR = 1.75), junior (OR = 1.52), interpersonal relationships as poor (OR = 1.88), health status as poor (OR = 4.62), intermediate-chronotype (OR = 2.19), eveningness chronotype (OR = 5.66), and health-promoting lifestyles as poor (OR = 1.55) were identified as risk factors for the “daytime dysfunction group” (all p < 0.05). LimitationsCausal conclusions can not be drawn and recall bias in data collection. ConclusionsSignificant population heterogeneity was found in the sleep quality. Implementing targeted interventions focusing on circadian rhythm and lifestyle is crucial to improve the sleep quality of students with different conditions.

The Effectiveness of a Health Promotion Program Based on Pender's Health Promotion Model (HPM) for Students with Chronic Illnesses

Background: Nursing students often struggle to maintain their health due to the rigorous demands of their curriculum, which frequently involves long hours of clinical work and exposure to stressful environments. Objective: This research study sought to investigate the effectiveness of a health promotion program based on Pender's Health Promotion Model (HPM) for nursing students with chronic illnesses. Methods: The study utilized a quasi-experimental design, including 105 nursing students from several institutions—55 participants belonging to an experimental group and 50 in the control group. To determine the students' quality of well-being prior- and post-treatment/phases, researchers monitored their health behaviors utilizing the Health-Promoting Lifestyle Profile II (HPLP-II) survey tool. The program included educational activities designed around coping with chronic diseases such as nutritional counseling or exercise planning also practical tools like stress management protocols/particulars along with peer support constructs/frameworks as key components in addressing adverse effects associated with such conditions. Results: Based on the results of the paired t-tests, a significant increase in HPLP-II scores was identified after the intervention in those assigned to the experimental group. Furthermore, an independent t-test highlighted that a significant difference existed between the average HPLP-II score for experimental and control groups. Discussion: These findings were scrutinized within Pender's Health Promotion Model framework to identify which aspects of the intervention contributed most efficiently to improved health behaviors and resultant outcomes. Conclusion: This research study established compelling evidence which supports the utilization of Pender's Health Promotion Model in improving health-promoting behaviors among nursing learners with chronic ailments. This finding could help nursing educators and healthcare professionals to outline interventions for this particular demographic group.

Future Self-Continuity Predicts Health-Promoting Behaviors of Chinese Rural College Students: Evidence from Mental Imagery Intervention

The purpose of this research is to investigate the prediction effect of future self-continuity (FSC) on health-promoting behaviors (Health Responsibility, Physical Activity, and Nutritional Habits) and the impact of urban-rural differences in Chinese college students, further verifying the effect of mental imagery practice on enhancing FSC and promoting health-promoting behaviors among students from rural areas. Study 1 used the Future Self-Continuity Questionnaire and a sub-scale of the Health Promotion Lifestyle Profile-II to examine the relationship between FSC and health-promoting behaviors among 788 college students (430 from rural areas and others from urban areas). Study 2 was designed to examine the impact of intervention on FSC and health-promoting behaviors among Chinese rural students. The intervention activities lasting 4 wk. 162 freshmen were randomly divided into intervention or control groups to practice the mental imagery about the future self or meditation in the present once a week. FSC and health-promoting behaviors were tested for 3 times. The results demonstrated that: (1) Rural students had lower scores in FSC and health-promoting behaviors than urban students; (2) Urban-rural differences of students moderated the effect of FSC on health-promoting behaviors; (3) The mental imagery practiced increased FSC; and (4) FSC played a complete mediating role in the effect of condition (intervention or not) on health-promoting behaviors for rural college students. Overall, these findings contribute to a deeper understanding of the relationship between FSC and health-promoting behaviors, and suggest that mental imagery practice can increase Chinese rural college students’ health-promoting behaviors by enhancing their FSC.

Intervention fo Effective Development od Self-Care in Heralth Students: a Scoping Review

Self-care is a central element in the training of health students. The lack of effective strategies to develop it is associated with a 50% prevalence of burnout in this population. Identify and analyze effective strategies for self-care assessment and intervention in health students. We developed a systematized scoping review using standardized methods to assess quality using the Scale for the Assessment of Narrative Review Articles. The Critical Appraisal Skills Programme was used for the thematic analysis. Four sources of information were explored including Pubmed, Google Scholar, Epistemónikos and Lilacs as well as gray literature. Two independent reviewers reviewed each publication and one expert defined controversies. A total of 1682 articles were identified, of which 33 were selected. The average quality of the reviewed articles was 13 points [6-14]. The thematic analysis identified two groups. First, self-care assessment studies (N = 12) highlighting the World Health Organization Quality-of-Life Scale (WHOQOL-BREF) and the Health Promoting Lifestyle Profile II (HPLP-II); and second effective intervention study highlighting four strategies: mindfulness (N = 14); group interventions (N = 8); mentoring (N = 2); and curricular interventions (N = 4). There are a variety of effective strategies to assess and promote self-care in health students. The studies we found stand out for being of good quality and applicable to the different study plans.

Relationship of Health Literacy and Social Support with Health-Promoting Behaviors in Women with Breast Cancer: Mediating Role of Cancer Self-Efficacy

Background: Women diagnosed with breast cancer experience high levels of psychological disorders ranging from depression, anxiety, maladjustment to the disease, and decreased self-confidence to different emotional disturbances and fears of recurrence and mortality. The present study aimed to investigate the mediating role of cancer self-efficacy in the relationship between health literacy and social support with health-promoting behaviors in women with breast cancer.&#x0D; Methods: In this descriptive-correlational study, the convenience sampling method was employed to select 282 women diagnosed with breast cancer in Ahvaz, Khuzestan Province (Iran) in 2021. The participants were asked to answer the Health-Promoting Lifestyle Profile II (HPLP-II), Iranian Health Literacy Questionnaire, Social Support Survey, and Cancer Behavior Inventory. Path analysis was adopted to analyze data in AMOS software.&#x0D; Results: The results revealed there was a significant relationship between perceived social support with health-promoting behaviors (P=0.004) and cancer self-efficacy (P=0.001) in women with breast cancer. There was a significant relationship between health literacy and cancer self-efficacy in women. According to the results, the mediating role of cancer self-efficacy in the relationship between perceived social support and health literacy with health-promoting behaviors was found to be significant in women with breast cancer (P=0.001).&#x0D; Conclusion: Accordingly, the research model had a desirable fit. The findings of this research showed the effective role of cancer self-efficacy in the outcome of social support and health literacy to increase health-promoting behaviors in women with breast cancer.