Dataset Information

Do demographic factors and a health-promoting lifestyle influence the self-rated health of college nursing students?

ABSTRACT:

Background

To adopt a healthy lifestyle is considered an essential component of nursing education. Self-rated health is a subjective assessment of health status and is consistent with objective health status. Previous studies have shown an association between self-rated health and engagement in a healthy lifestyle. Nursing students need to feel good about their subjective health status and to be able to adopt health improvements in their lifestyle before attempting to disseminate health messages to clients. The aims of this study were to compare the difference in self-rated health and health promotion lifestyle profile between senior and junior nursing students, describe correlations between self-rated health and health promotion lifestyle profile, and identify the predictors of self-rated health.

Methods

A cross-sectional descriptive survey was adopted. The study sample consisted of 314 junior and senior year nursing students from a tertiary institution. The self-reported questionnaire consisted of a single-item question to examine their self-rated health. The Health Promoting Lifestyle Profile-II: Chinese version short form (HPLP-IICR) was used to investigate the health-promoting lifestyles of the students. Descriptive statistics, Mann-Whitney U test, Chi-square test, Fisher's exact test, Spearman's correlation, and ordinal logistic regression were used to analyze the data.

Results

The median scores for self-rated health were 3 (Mean 3.26, IQR 3-4) and 3 (Mean 3.19, IQR 3-4) out of 5 for Year 2 and Year 5 students, respectively, with no significant difference between the two groups. The two groups of students showed no significant differences in overall score and in most subscales of the HPLP-IICR. An ordinal logistic regression showed that those students with higher health management score (OR: 1.12, 95% CI: 1.04-1.21) and who had experienced no family conflicts in the recent month than having family conflict (OR: 1.64, 95% CI: 1.01-2.66) were more likely to have higher self-rated health.

Conclusion

Nursing education and clinical practice can undoubtedly increase the health knowledge of students, but may not lead to changes in actual health-promoting behaviours. Students with a higher health management score and no family conflicts are more likely to give a positive appraisal of their health status.

SUBMITTER: Chow SKY

PROVIDER: S-EPMC6267045 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Do demographic factors and a health-promoting lifestyle influence the self-rated health of college nursing students?

Chow Susan Ka Yee SKY Lam Kin-Man KM Lie Shih-Hung SH Mak Ka-Chun KC Mong Ka-Chun KC So Chun-Man CM Yuen Wai-Yip WY

BMC nursing 20181129

<h4>Background</h4>To adopt a healthy lifestyle is considered an essential component of nursing education. Self-rated health is a subjective assessment of health status and is consistent with objective health status. Previous studies have shown an association between self-rated health and engagement in a healthy lifestyle. Nursing students need to feel good about their subjective health status and to be able to adopt health improvements in their lifestyle before attempting to disseminate health ...[more]

PMID: 30519146

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Project description:BackgroundLifestyle choices reflect the beliefs that individuals attribute to aspects of life. This construct can be assessed with the Individual Lifestyle Profile (PEVI) questionnaire, which measures elements of Nutrition, Physical Activity, Preventive Behaviors, Social Relationships and Stress Management.ObjectiveThe objective of this study was to estimate the psychometric properties of the PEVI applied to a sample of Brazilian university students, identifying the prevalence of each lifestyle component according to participants' age, sex, weight status, course area/field and economic stratum and to estimate the contribution of these characteristics on physical and psychological lifestyle.MethodsThe PEVI data was analyzed by confirmatory factor analysis, using the indexes chi-square per degrees of freedom ratio (χ2/df), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI) and Root Mean Square Error of Approximation (RMSEA). First-order and second-order models (physical and psychological lifestyle) were tested. Prevalences of lifestyle components were calculated and compared by participants' age, sex, weight status, course area/field and economic stratum. A hypothetical causal structural model was elaborated to investigate the impact of sample characteristics on physical and psychological lifestyles. This model was evaluated considering the global fit to the data (χ2/df, CFI, TLI and RMSEA) and the hypothetical causal trajectories (β) (α = 5%).ResultsA sample of 1,303 students was used. The mean age was 20.9 (standard deviation = 2.8) years, 66.8% of participants were females, 63.4% had weights in the normal range and 73.7% were students of the social and exact sciences. The PEVI data showed an adequate fit for both the first- (χ2/df = 2.03, CFI = 0.98; TLI = 0.97; RMSEA = 0.04) and second-order (χ2/df = 2.25; CFI = 0.97; TLI = 0.97; RMSEA = 0.04) models. There was a higher prevalence of unfavorable physical and psychological lifestyle choices among females, among underweight and obese individuals, in older students and in those with lower economic strata. Moreover, negative behaviors in physical lifestyle were more prevalent in students from human/social/exact sciences and worse psychological lifestyle was observed among health sciences students. These results were confirmed by a structural model.ConclusionThe PEVI data presented validity and reliability. Negative lifestyle choices had high prevalence among students. Moreover, individual characteristics had different impact on physical and psychological lifestyle choices.

Project description:BackgroundFasting is an unhealthy behavior that has been frequently used as part of weight loss attempts. To date, little research has been conducted to determine the prevalence and substance use and mental health correlates of fasting among college students. Therefore, the aim of this study was to estimate the prevalence and associations between any (≥ 1 time) and regular (≥ 13 times) occurrences of fasting in the past 4 weeks and substance use and mental health correlates among a large sample of college students from 2016 to 2020.MethodsData from four academic survey years (2016-2020; N = 8255) of the national (USA) Healthy Minds Study were analyzed. Unadjusted prevalence of any and regular fasting by survey year and gender was estimated. Multiple logistic regression analyses were conducted to estimate the associations between any and regular fasting and the demographic (age, body mass index, race/ethnicity, sexual orientation, highest parental education), substance use (cigarette use, marijuana use, other illicit drug use, alcohol use), and mental health (depression, anxiety, eating disorder symptoms, suicidal ideation, non-suicidal self-injury) correlates.ResultsAny fasting in the past 4 weeks was common among both men (14.77%) and women (18.12%) and significantly increased from 2016 (10.30%) to 2020 (19.81%) only among men. Regular fasting significantly increased among both men and women from 2016 (men: 1.46%; women: 1.79%) to 2020 (men: 3.53%; women: 6.19%). Among men and women, both any and regular fasting in the past 4 weeks were associated with higher odds of all mental health symptoms, including a positive depression, anxiety, and eating disorder screen, suicidal ideation, and non-suicidal self-injury. Among women, but not men, any and regular fasting in the past 4 weeks were associated with higher odds of marijuana use and other illicit drug use (e.g., cocaine, ecstasy).ConclusionsThe results from this study underscore both the high and increasing prevalence of fasting among a national sample of college students, as well as the substance use and mental health symptoms associated with this behavior. Healthcare professionals both on and off campus should consider screening for fasting behaviors among college students and provide appropriate intervention when needed.

Project description:BackgroundeHealth literacy is gaining importance for maintaining and promoting health. Studies have found that individuals with high eHealth literacy are more likely to adopt healthy eating, exercise, and sleep behaviors. In addition, previous studies have shown that various individual factors (eg, frequency of seeking information on health issues, degree of health concern, frequency of eating organic food, and students' college major) are associated with eHealth literacy and health-promoting lifestyles. Nevertheless, few studies have explored the associations among individual factors, eHealth literacy, and health-promoting lifestyles among college students. Moreover, there is a lack of studies that focus on eHealth literacy as a predictor of psychological health behaviors.ObjectiveTo examine the associations among various individual factors, eHealth literacy, and health-promoting lifestyles.MethodsThe eHealth Literacy Scale is a 12-item instrument designed to measure college students' functional, interactive, and critical eHealth literacy. The Health-promoting Lifestyle Scale is a 23-item instrument developed to measure college students' self-actualization, health responsibility, interpersonal support, exercise, nutrition, and stress management. A nationally representative sample of 556 valid college students in Taiwan was surveyed. A questionnaire was administered to gather the respondents' background information, including the frequency of seeking information on health issues, the frequency of eating organic food, the degree of health concern, and the students' major. We then conducted a multiple regression analysis to examine the associations among individual factors, eHealth literacy, and health-promoting lifestyles.ResultsThe study found that factors such as medical majors (t550=2.47-7.55, P<.05) and greater concern with health (t550=2.15-9.01, P<.05) predicted college students' 4-6 health-promoting lifestyle dimensions and the 3 dimensions of eHealth literacy. Moreover, critical eHealth literacy positively predicted all 6 health-promoting lifestyle dimensions (t547=2.66-7.28, P<.01), functional literacy positively predicted 2 dimensions (t547=2.32-2.98, P<.05), and interactive literacy predicted only the self-actualization dimension (t547=2.81, P<.01).ConclusionsThis study found that participants who majored in medical fields had greater concern with their health and frequently sought health information, exhibited better eHealth literacy, and had a positive health-promoting lifestyle. Moreover, this study showed that college students with a higher critical eHealth literacy engaged better in health-promoting activities than those with functional and interactive literacy.

Project description:BACKGROUND:Self-rated health is an useful indicator of the general health in specific populations and used to propose interventions after service in the military context. However, there is scarce literature about self- rated health (SRH) in the Canadian Veterans of the Reserve Force and its relationship with demographic, health and occupational characteristics of this specific group. The aims of this research were to determine the SRH in Canadian Reserve Force Veterans and to explore the relationship between demographic, military service and health factors by reserve class. METHODS:Data from the individuals was collected from the Life After Service (LASS) 2013 survey, including Veterans with Reserve Class C (n?=?922) and Class A/B (n?=?476). Bivariate and multivariate analysis using logistic regression models, were used to assess the association between the demographic characteristics, physical health, mental health, and military service characteristics and the self-rate health by both reserve classes. RESULTS:The overall prevalence of poor SRH in Reserve Class C Veterans was 13.1% (CI:11.08-15.4) and for Reserve Class A/B was 6.9% (CI:5.0-9.1). Different degrees of associations were observed during the bivariate analysis and two different models were produced for each reserve class. Veterans of Reserve Class C showed that being single was (OR?=?2.76, CI: 1.47-5.16), being 50-59?years old (OR?=?4.6, CI: 1.28-17.11), reporting arthritis (OR?=?2.49, CI: 1.33-4.67), back problems (OR?=?3.02, CI:1.76-5.16), being obese (OR?=?1.96, CI: 1.13-3.38), depression (OR?=?2.34, CI: 1.28-4.20), anxiety (OR?=?4.11, CI: 2.00-8.42), PTSD (OR?=?2.1 CI: 0.98-4.47), PTSD (OR?=?20.9, CI:0.98-4.47) and being medically released (OR?=?4.48, CI: 2.43-8.24) were all associated with higher odds of poor SRH. The Reserve Class A/B model showed that completing high school (OR?=?4.30, CI: 1.37-13.81), reporting arthritis (6.60, CI: 2.15-20.23), diabetes (OR?=?11.19, CI: 2.72-46.0), being obese (OR?=?3.37, CI: 1.37-8.27), daily smoking (OR?=?2.98, CI: 1.05-8.38), having anxiety (OR?=?9.8, CI: 3.70-25.75) were associated with higher odds of poor SRH. CONCLUSIONS:These results suggested that the relationship of poor SRH with demographic, health and military occupation domains varied depending on the class on the Reserve Force Service. Different strengths of association showed different risk compositions for both populations. This can be used to better understand the health and well-being of Veterans of the Reserve Force.

Dataset Information

Do demographic factors and a health-promoting lifestyle influence the self-rated health of college nursing students?

Background

Methods

Results

Conclusion

Publications

Do demographic factors and a health-promoting lifestyle influence the self-rated health of college nursing students?

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