INTRODUCTION

The Bachelor of Science in Nursing (BSN) program spans four years and includes general education and professional courses. Student nurses attend lecture hours, clinical duties, and related learning experiences that might be affecting their time in attending to a healthy lifestyle. Health-promoting lifestyle is a multi-dimensional pattern of activities and perceptions that begins with self-motivation and assists in promoting self-improvement and health. The domains of health-promoting lifestyle are essential factors to further improve their way of dealing with daily challenges. Multiple factors can also influence student nurses’ lifestyles, including their separation from family, busy schedules, and dietary choices. A study highlights various factors affecting student nurses' lifestyles, underscoring the need for tailored health promotion strategies and curriculum enhancements. Research into these domains can better equip future healthcare leaders. Gender, year level, and living arrangements influence student nurses' lifestyles, prompting researchers to investigate the extent of health-promoting lifestyles among them and differences based on these factors. By addressing these domains and conducting further research, nursing education and practice can better prepare future healthcare leaders to promote health and lifestyle effectively within their communities.

To determine the extent of health-promoting lifestyle among student nurses and identify the significant differences according to gender, year level, and living arrangement. 

A quantitative, descriptive research design was used with 360 respondents, employing Yamane’s formula and quota sampling. The study adopted the Health-Promoting Lifestyle II questionnaire with a validity of 0.962.

Student nurses often engage in health promoting behaviors (mean=2.56). Male student nurses reported higher scores in health responsibility, physical activity, spiritual growth, and stress management compared to female students (p=0.40). Level IV students engaged in health-promoting activities more frequently than Level I students (p=0.74). Living arrangements did not significantly impact health-promoting lifestyles (p=0.99).

No significant difference in health-promoting lifestyles among student nurses. Respondents demonstrated the least health-promoting lifestyle behaviors in the domains of health responsibility, nutrition, and physical activity. In contrast, spiritual growth, interpersonal relations, and stress management attained the highest mean scores.

INTRODUCTION

The Bachelor of Science in Nursing (BSN) program spans four years and includes general education and professional courses. Student nurses attend lecture hours, clinical duties, and related learning experiences that might be affecting their time in attending to a healthy lifestyle. Health-promoting lifestyle is a multi-dimensional pattern of activities and perceptions that begins with self-motivation and assists in promoting self-improvement and health. The domains of health-promoting lifestyle are essential factors to further improve their way of dealing with daily challenges. Multiple factors can also influence student nurses’ lifestyles, including their separation from family, busy schedules, and dietary choices. A study highlights various factors affecting student nurses' lifestyles, underscoring the need for tailored health promotion strategies and curriculum enhancements. Research into these domains can better equip future healthcare leaders. Gender, year level, and living arrangements influence student nurses' lifestyles, prompting researchers to investigate the extent of health-promoting lifestyles among them and differences based on these factors. By addressing these domains and conducting further research, nursing education and practice can better prepare future healthcare leaders to promote health and lifestyle effectively within their communities.

To determine the extent of health-promoting lifestyle among student nurses and identify the significant differences according to gender, year level, and living arrangement. 

A quantitative, descriptive research design was used with 360 respondents, employing Yamane’s formula and quota sampling. The study adopted the Health-Promoting Lifestyle II questionnaire with a validity of 0.962.

Student nurses often engage in health promoting behaviors (mean=2.56). Male student nurses reported higher scores in health responsibility, physical activity, spiritual growth, and stress management compared to female students (p=0.40). Level IV students engaged in health-promoting activities more frequently than Level I students (p=0.74). Living arrangements did not significantly impact health-promoting lifestyles (p=0.99).

No significant difference in health-promoting lifestyles among student nurses. Respondents demonstrated the least health-promoting lifestyle behaviors in the domains of health responsibility, nutrition, and physical activity. In contrast, spiritual growth, interpersonal relations, and stress management attained the highest mean scores.

INTRODUCTION

COVID-19 is a pandemic that shut down businesses and industries worldwide. The spread of the disease changed social behavior as residents around the world were obliged to endure lockdown and quarantine measures, reducing their physical activity.

To determine the level of physical activity before and during the pandemic among physicians.

A cross-sectional study was carried out on 422 qualified physicians of the Philippine General Hospital, University of the Philippines Manila. The data was obtained from a self-administered questionnaire.

Results of the study revealed a shift of lifestyle from physically active to sedentary in 42.4-57.11% of the respondents during the pandemic. There was no change between the activity levels at work before and during COVID while there was a change in the travel and recreational activities. The results also showed that significant factors including lack of energy, fear of injury, lack of skill, resources, social influences, support seeking activities, and positive alternatives affected their activity levels.

During the pandemic, overall physical activity level decreased. Similarly, factors that motivate health workers to be physically active or sedentary during the COVID-19 pandemic can affect their physical activity levels. Based on this study, the hospital can create guidelines to ensure physical activity among its doctors, especially during a pandemic.

BACKGROUND AND OBJECTIVES

Physical activity (PA) and fitness level are considered key factors in public health promotion, and as such, healthcare workers (HCW) need to be physically well because they are not only responsible for themselves, but of their clients as well. Therefore, we aim to determine the PA and health-related fitness (HRF) level of HCW in a tertiary hospital, disaggregated to age, sex, work assignments, and job tenure.

A cross-sectional research design was utilized to assess HCW from the administrative, medical, nursing, and paramedical cohorts. ALPHA-FIT Test Battery was used to assess cardiorespiratory fitness, muscular strength, lower extremity power and strength, upper body muscle endurance, balance, and body composition.

Our study concurred with the results of previous studies on HCW yielding lower PA levels compared with the general population. We tested 282 participants (administrative: 97; medical: 36; nursing: 55; paramedical: 94), mean age 37.4 years, 64.54% females, 52.13% perceived average health status. Ninety percent of the HCW had PA levels below the World Health Organization’s recommended levels. The ALPHA-FIT mean score per category revealed: one-legged stance, 2.67/3; figure-of-8 run, 2.45/3; shoulder-neck mobility, 4.58/5; modified push-up, 2.05/4; hand-grip strength, 2.5/5; jump and reach, 4/4; dynamic sit-up, 2.62/3; six-minute walk test, 475.38 meters covered. There were no significant differences in PA and HRF levels across cohorts except for modified sit-ups (p < 0.001) and figure-of-8 run (p = 0.012). The results showed significant inverse correlation between balance and shoulder-neck mobility and age (p < 0.001), and modified push ups (p = 0.004). Males had significantly higher sit-up scores (p < 0.001), one-legged stance scores (p = 0.001), and faster figure-of-8 run (p = 0.011), while females had better jump and reach scores (p < 0.001).

Physical activity levels of HCW did not meet the World Health Organization’s recommended PA levels. Healthcare professionals who are expected to be aware of the benefits of PA and HRF have shown low to midfit levels of grip strength, upper extremity endurance, core strength, and cardiorespiratory endurance. Information on PA and HRF may aid in policy making on employee wellness that could highly impact health service delivery.

BACKGROUND AND OBJECTIVES

The built environment or physical environment consists of surroundings and conditions constructed by human activity. It includes urban design, neighborhoods, transportation, and smaller scale structures like the design and layout of rooms within buildings. The built environment can affect the physical, social, and functional wellbeing of older adults, both within their own homes and in the neighborhoods in which they live, and additionally plays a part in promoting healthy aging. This narrative review of the literature aims to present the ways in which the built environment can influence the functional ability of community-dwelling older adults, and affect their ability to live independently and age in place.

Narrative literature review and inductive thematic analysis.

Forty-five full-text, English language publications from peer-reviewed sources were selected for this review, with the majority (35) presenting quantitative research findings and originating from North America (28). Older adults in rural and developing countries were underrepresented in the literature, despite acknowledgement that health of the aging population is a worldwide problem. Three major themes emerged. First, the built environment affects older adults in the most fundamental way at home through design considerations, modifications, and technological advances promoting aging in place and accessibility. Secondly, built environments outside the home can affect older adults’ physical activity and overall function with regard to mobility, transportation, and activities of daily living. The majority (22 of 45 publications) focused on this theme. Finally, the built environment in neighborhoods can affect older adults’ perception of social support, their social participation, and quality of life.

As the built environment is created by humans and can be substantially modified, it possesses considerable potential for enhancing functional ability, social participation, and overall quality of life in community-dwelling older adults. It is possible to design a better person-environment fit, promoting safety, independence, optimal health, and quality of life. In order to support healthy aging, improvements in the built environment need to be accompanied by appropriate health and social policies, systems, and services. These changes require political will, as well as material resources that may not be readily available especially in the global South. A socioecological approach with adequate resources directed to older adults’ health and healthcare is necessary in order to achieve the ultimate goal of healthy aging in this population.

BACKGROUND

According to the World Health Organization, in 2016, there were more than 1.9 billion adults who were overweight. Of these, over 650 million were obese. Physical inactivity is one of the major risk factors for several non-communicable diseases. Healthcare workers who have direct contact with patients often influence their behaviors. However, health care workers who educate their patients but they themselves do not practice what they recommend, may be one of the barriers that can affect patient education and influence.

This research paper aimed to investigate the motivation to participate in physical activity among healthcare workers and to determine the association between the profile of respondents with the different types of motivation.

There was a total of 250 randomly selected respondents who were included in the study. Data were gathered through a self-administered questionnaire utilizing the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and the Behavioral Regulation in Exercise Questionnaire (BREQ-2). Descriptive statistics was used to summarize sociodemographic information, physical activity levels and BREQ-2 profiles. T-test was used to analyze differences in gender while analysis of variance (ANOVA) was used for levels of physical activity and professional category.

Female healthcare professionals have a higher average in amotivation (mean=0.56) while males have a higher average in intrinsic (mean=2.82) motivation. Nurses and ancillary services have higher average amotivation scores than physicians.

Health care workers who have high classification in physical activity have the highest average scores in terms of relative autonomy index, introjected, identified, and intrinsic scores. This demonstrates a positive association between motivation from internal regulation and increased physical activity.

PURPOSE: To examine the effects of a smartphone application-based exercise program on self-efficacy expectations (SEE) and outcome expectations regarding exercise (OEE), physical fitness, activity level, physiological indices, and health-related quality of life in a sample of hemodialysis patients.METHODS: A quasi-experimental control group pre-test post-test design was used. Subjects were recruited from two university hospitals in G city. The subjects were assigned randomly by coin toss: 33 participants to the experimental group and 30 to the control group. A literature review and the self-efficacy theory were used to develop the smartphone program. Experts designed and verified the program to be userfriendly and in consideration of user interaction. Data were collected through a self-report pre-test post-test questionnaire and online medical records.RESULTS: In the experimental group, the levels of physical fitness and physical activity were significantly improved post-test, but the scores on health-related quality of life and the physical indices did not improve. In the experimental group, the SEE and OEE post-test scores were also significantly higher than the pre-test scores, but the control group's scores did not change.CONCLUSION: The smartphone application-based exercise program based on self-efficacy theory significantly improved the level of physical fitness and activity, SEE, and OEE for hemodialysis patients. The use of this application-based exercise program for hemodialysis patients might be an effective nursing intervention tool for improving SEE, OEE, level of physical fitness, and physical activity.
Hospitals, University ; Humans ; Medical Records ; Motor Activity ; Numismatics ; Nursing ; Physical Fitness ; Quality of Life ; Renal Dialysis ; Self Efficacy ; Smartphone

Research on physical activity and health is actively being conducted. In the Korea National Health and Nutrition Examination Survey (KNHANES), the Global Physical Activity Questionnaire (GPAQ) was newly introduced in 2014. The purpose of this study was to investigate the levels of physical activity and related factors in Koreans who were assessed through the GPAQ by dividing the physical activity by occupation, leisure, and transport domain. This study used data from the KNHANES (2014–2016), the study population of which included 17,357 participants aged 12 to 80 years. We compared the differences in physical activity by sociodemographic factors, health-related factors, and psychological health-related factors. Moreover, we also compared the mean metabolic equivalent of task and daily sitting time according to physical activity domain by sex and age group. Finally, we investigated the sociodemographic factors, health-related factors, and psychological health-related factors that significantly affect the average physical activity per week. The various factors were found to differ in the frequency of physical activity levels. In addition, there was a difference in the amount of physical activity per occupation, leisure, and transport domain in each age group. Finally, age, sex, high-density lipoprotein cholesterol levels, arthritis, allergic rhinitis and sinusitis, sleeping time, and perceived health status significantly affected physical activity. The levels of physical activity significantly differed by sociodemographic factors, health-related factors, and psychological health-related factors. There was also a difference in the physical activity levels according to the age and sex per each domain of physical activity.
Arthritis ; Cholesterol ; Humans ; Korea ; Leisure Activities ; Lipoproteins ; Metabolic Equivalent ; Motor Activity ; Nutrition Surveys ; Occupations ; Physical Fitness ; Public Health ; Rhinitis, Allergic ; Risk Factors ; Sinusitis ; Social Determinants of Health ; Surveys and Questionnaires

PURPOSE: The purpose of the study is to identify the effects of worker's stair-climbing on blood pressure, lipid profiles, and physical fitness. METHODS: After recruiting 114 healthy adult women aged 20 to 64 years who have had sedentary for more than 3 months, we divided into two groups: the stair group (SG, n=57) and control group (CG, n=57). SG was supposed to do stair-climbing in daily life like workplace and home for 12 weeks. To investigate the effects of the lifestyle changing of stair-climbing, resting blood pressure, heart rate (HR), and lipid profiles were measured before and after 12-week stair-climbing. Also, physical fitness items such as peak oxygen consumption (VO2peak), back muscle strength, sit and reach, isokinetic strength of knee joint, static and dynamic balance were measured. RESULTS: As a result of the 12-week lifestyle changing of stair-climbing, resting systolic blood pressure (SBP; p < 0.05) and HR (p < 0.01) were significantly decreased in SG. Low-density lipoprotein-cholesterol (LDL-C) was significantly reduced in SG (p < 0.05). There was a significant improvement in the VO2peak (p < 0.001). There were a significant improvement in back strength (p < 0.001) and bilateral knee extensor (60°/sec: p < 0.05, p < 0.01, 180°/sec: p < 0.01, p < 0.01) and knee flexor (180°/sec: p < 0.01, p < 0.05) of isokinetic strength. There were significant improvements in static balance of one leg standing eye-closed (p < 0.05) and dynamic balance of left/right velocity (p < 0.01), forward/backward velocity (p < 0.01). CONCLUSION: In this study, 12 weeks of lifestyle changing of stair-climbing improved SBP, resting HR, LDL-C, VO2peak, back and knee strength, static and dynamic balance as well as increased physical activity volume of stair-climbing in the daily living.
Adult ; Back Muscles ; Blood Pressure ; Female ; Heart Rate ; Humans ; Knee ; Knee Joint ; Leg ; Life Style ; Motor Activity ; Oxygen Consumption ; Physical Fitness

OBJECTIVE: The circadian pattern of the onset time of aneurysmal subarachnoid hemorrhage (aSAH) has been reported by various authors. However, the effect of the degree of physical exertion on the circadian pattern has not been studied in detail. Therefore, we conducted this study to investigate the effect of physical exertion on the circadian pattern of aSAH.METHODS: Of the 335 patients presenting with aSAH from January 2012 to December 2017, 234 patients with identifiable onset time and metabolic equivalent (MET) values were enrolled. The onset time of aSAH was divided into 4-hour intervals. The patient’s physical exertion was then assessed on a scale between 1 and 8 METs using generally accepted MET values, and categorized into two groups—light exertion (1 to 4 METs) and moderate to heavy exertion (5 to 8 METs)—to determine the effect of the degree of physical exertion on the onset time distribution of aSAH. Multivariate analysis was used to calculate the odds ratio (OR) between the two groups to determine the effect of the degree of physical exertion on each set of time periods.RESULTS: There was a definite bimodal onset pattern that peaked at 08:00–12:00 hours followed by 16:00–20:00 hours (p <0.001). MET values at all time intervals were found to be significantly higher than the night time (00:00–04:00 hours) values (p<0.031). The MET value distribution showed a unimodal pattern that slightly differed from the bimodal distribution of the onset time of aSAH. There were no significant differences in the ORs of each time interval according to the degree of the MET value.CONCLUSION: This study reaffirmed that aSAH occurs in a bimodal pattern, especially showing the highest prevalence in the morning. Although aSAH could be related to daily activity, there were no significant changes in diurnal variations affected by the degree of physical exertion.
Aneurysm ; Epidemiology ; Humans ; Metabolic Equivalent ; Motor Activity ; Multivariate Analysis ; Odds Ratio ; Physical Exertion ; Prevalence ; Risk Factors ; Subarachnoid Hemorrhage