جستجوی مقالات مرتبط با کلیدواژه « Smartphone » در نشریات گروه « پزشکی »

 Cardiovascular disease (CVD) is a major global health concern, the leading cause of death and disability. Thus, preventive interventions targeting modifiable risk factors are essential. Mobile-health technologies have emerged as promising tools for improving prevention by modifying risk factors. We created the “Green Heart” mobile app to help coronary artery disease (CAD) patients control their risk factors. The app has three modules: smoking cessation, dyslipidemia (DLP) control, and blood pressure (BP) management. This study evaluated the app’s performance in monitoring hypertension (HTN) and DLP among known CAD cases.

 A randomized controlled trial enrolled 1590 CAD subjects, including 1114 hypertensive patients and 1488 subjects with DLP, and assigned them randomly to paper-based education or application-based groups.

 Regarding HTN, after 6 months, we finally analyzed 545 and 546 hypertensive patients, assigned to the conventional and app groups, respectively. Patients in the app group were more likely to have their BP managed successfully (88.6% vs. 78.5%; P<0.001). The app group showed higher odds of successful BP management (odds ratio [OR]: 2.13; 95% CI: 1.51 - 3.03). Regarding DLP, we analyzed 728 patients in the conventional and 714 patients in the app group. A higher percentage of patients in the app group (24.8%) had low-density lipoprotein cholesterol (LDL-C) levels less than 70 mg/dL (16.1%; P<0.001). The app group showed higher odds of reducing LDL-C (OR: 1.72; 95% CI: 1.32–2.26).

 We found that using the Green Heart app in the self-monitoring setting significantly improved BP and DLP management across the study population.

The number of micronuclei in oral exfoliated buccal mucosal cells of analog (basic) and smart mobile phone users was evaluated and compared.

The study population constituted 30 individuals using basic and smartphones within the age group of 45–55 years. They were divided into two groups: Group 1–15 participants using basic mobile phones and Group 2–15 participants using smart mobile phones. Exfoliated buccal mucosal cells were collected from both right and left buccal mucosa, stained with Papanicolaou stain, and evaluated microscopically for the estimation of micronuclei count. Mean micronuclei count was compared statistically between the study groups and also between the sides of frequent usage and opposite sides within the study groups.

There was a significant increase in the mean micronuclei count in Group 2 compared to Group 1 and the comparison of mean micronuclei count between the side of frequent phone usage (right side) and opposite side (left side) also showed significant difference in both Groups 1 and 2.

Despite technological advance and high‑end features, the use of smartphones causes more genotoxicity compared to basic model or analog phones. Although this technology‑dominated era mandates use of such phones as a part of routine lifestyle, it is imperative to adopt safety precautions such as use of headphones while talking, carrying a separate pouch for mobile phones to minimize the genotoxic damage.

Research conducted over the years has established that artificial light at night (ALAN), particularly short wavelengths in the blue region (~400–500 nm), can disrupt the circadian rhythm, cause sleep disturbances, and lead to metabolic dysregulation. With the increasing number of people spending considerable amounts of time at home or work staring at digital screens such as smartphones, tablets, and laptops, the negative impacts of blue light are becoming more apparent. While blue wavelengths during the day can enhance attention and reaction times, they are disruptive at night and are associated with a wide range of health problems such as poor sleep quality, mental health problems, and increased risk of some cancers. The growing global concern over the detrimental effects of ALAN on human health is supported by epidemiological and experimental studies, which suggest that exposure to ALAN is associated with disorders like type 2 diabetes, obesity, and increased risk of breast and prostate cancer. Moreover, several studies have reported a connection between ALAN, night-shift work, reduced cognitive performance, and a higher likelihood of human errors. The purpose of this paper is to review the biological impacts of blue light exposure on human cognitive functions and vision quality. Additionally, studies indicating a potential link between exposure to blue light from digital screens and increased risk of breast cancer are also reviewed. However, more research is needed to fully comprehend the relationship between blue light exposure and adverse health effects, such as the risk of breast cancer.

 Cardiovascular diseases (CVDs) pose a significant global health concern and are the most common cause of death and disability, necessitating preventive interventions targeting modifiable risk factors. Recently, mobile-health technology has been developed to improve the delivery of cardiovascular prevention by risk factor modification. The “Green Heart” mobile application (app) was designed to aid in risk factor control among coronary artery disease (CAD) patients.

 This parallel-group, single-blinded randomized controlled trial enrolled 1590 CAD patients, including 668 current smokers, randomly assigned to control (paper-based education) and intervention (application-based) groups. The app encompassed three modules targeting smoking cessation, dyslipidemia control, and blood pressure management. This study evaluated the impact of the smoking cessation module on behavioral change among current smokers. Green Heart assesses nicotine dependence, offering personalized quit plans, educational content, motivational messages, and automated progress tracking. The odds of smoking behavior changes during the 24-week follow-up underwent assessment.

 The intention-to-treat analysis highlighted significantly elevated rates of smoking cessation and reductions in the intervention group versus the control group. Adherence to the app (per-treatment analysis) also demonstrated significantly more favorable smoking behavior changes among the application users. Logistic regression emphasized higher odds of quitting and reduction in smoking in the application group, showing an odds ratio of 2.14 (95% CI: 1.16–3.97) compared to those not using the app (P=0.015).

 Our results confirmed that complete adherence to the app for at least 24 weeks was linked to alterations in cigarette smoking behavior among CAD patients.
Trial Registration Number: IRCT20221016056204N1

While virtual reality holds promise for enhancing patientmanagement and experience during chemotherapy, its use remains limited. The present study aimed to test the feasibility, acceptability, and preliminary efficacy of smartphone-based virtual reality relaxation (SVR) in chemotherapy patients.

Methods & Materials:

 In this pilot study, 29 participants were divided into two groups. The SVR group (n=14) experienced a 10-minute virtual reality intervention, while the control group (n=15) received standard care and guided imagery leaflets. Outcomes such as comfort, anxiety, pain, systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse rate were evaluated at baseline and post-chemotherapy. The Technology Acceptance Model (TAM) questionnaire and open-ended questions evaluated SVR’s acceptability. Data was analyzed using descriptive statistics, non-parametric t-tests, and thematic analysis.

The SVR intervention appears feasible, as evidenced by a high recruitment rate of 93.75% (30 out of 32 eligible patients) and a retention rate of 96.67% (29 out of 30 participants), despite one withdrawal. The SVR group showed significant comfort improvement (P=0.002), significant changes in pulse rate (P=0.047), and SBP (P=0.023) compared to the control group. Anxiety, pain, pulse rate, and DBP showed no significant differences.Asignificant TAMvariable (P<0.001) confirmed the intervention's acceptability. Qualitative feedback showed no serious side effects and patients reported positive experiences.

The SVR intervention, feasible and acceptable, significantly improved comfort and altered pulse rate and SBP in chemotherapy patients. It shows potential as an oncology care strategy. Further validation is needed through large-scale trials.

Smartphone is now an inevitable device for the populace, with its use growing progressively worldwide. There is lack of published literature focusing on the consequences of smartphone addiction on middle-aged and older adults in Nigeria. This study investigated the association between smartphone addiction, psychological status, insomnia and pain-related disability of the neck among staff of the College of Medicine, University of Lagos (CMUL).

This study involved the use of cross-sectional survey to investigate 271 (106 females, 165 males) staff of CMUL, Lagos, mean age (45.797±9.28 years) via purposive sampling technique in 2022. Four standard questionnaires were used for data collection; smart phone addiction scale (SAS), depression, anxiety and stress scale (DASS), neck pain disability index (NDI), and insomnia severity index (ISI).

The results revealed that 80 (29.5%) staff of college of medicine were addicted to smartphone use. Eleven (4.1%) staff of this college had severe depression, 16 (5.9%) had extremely severe anxiety while nine (3.3%) were severely stressed. Nine (3.3%) participants had clinical insomnia and five (1.8%) had moderate to severe problem with their neck. It was revealed that there was a significant association between smartphone addiction, pain-related disability of the neck (p=0.023), and insomnia (p=0.001). However, no significant association existed between depression (p=0.578), anxiety (p=0.060), stress (0.685), and smartphone addiction level of the participants

Smartphone addiction is predominant among staff of CMUL, and it is associated with neck pain-related disability and insomnia.

Approximately 466 million people suffer from hearing loss worldwide, with Indonesia ranking fourth in Southeast Asia. However, conventional pure-tone audiometry is not yet available in many areas because of its high cost. Numerous available smartphone-based audiometry applications are potential alternative screening tools for hearing loss, especially in Indonesia. This study examined the findings on the validation of smartphone-based audiometry applications to assess hearing functions available in Indonesia. 

Based on the established eligibility criteria, this study was conducted by browsing the relevant literature validating smartphone-based audiometry applications in Indonesia. Relevant study data, such as the author, year, location, implementation procedures, and outcomes, were extracted and summarized. 

This systematic review found 17 relevant and eligible publications. Of the six applications tested, 5 were found to have good validity, such as uHearTM, Audiogram MobileTM, AudCalTM, Hearing TestTM e-audiologia, and WuliraTM. All smartphone-based audiometry was tested only for the air conduction threshold and was influenced by several factors. 

Because smartphone-based audiometry is inexpensive, simple, and more accessible than conventional audiometric testing, it can be useful as a screening modality or alternative approach to assess hearing function. Unfortunately, smartphone-based audiometry cannot replace conventional audiometry in diagnosing hearing impairment.

Smartphone addiction has increased in recent years, especially with the onset of COVID-19 among students. It is possible that as the level of eHealth literacy increases among students, their addiction to smartphones decreases. This study aims to investigate this hypothesis.

This cross-sectional study was conducted on 390 medical sciences students. Two standard questionnaires were used to gather data. The first questionnaire was the Smartphone Addiction Inventory Scale, and the second questionnaire was the eHealth Literacy Scale. Data were analyzed using descriptive and analytic statistics.

There was no significant relationship between the gender of the participants and the mean scores of smartphone addiction or eHealth literacy. However, the relationship between the age of the participants and the mean scores of smartphone addiction or eHealth literacy was significant. Only the relationship between the educational level of the participants and the mean scores of smartphone addiction was significant. The correlation between smartphone addiction and eHealth literacy in students was not significant.

Age and educational level were significant factors influencing smartphone addiction. To decrease smartphone addiction and increase eHealth literacy, educational programs should be implemented for medical science students, who play a crucial role as future guardians of health.

Hypoglycemia is a frequent complication in patients with type 2 diabetes mellitus. By providing education, awareness among diabetic patients could be increased to prevent hypoglycemia. Indonesia has yet to widely implement smartphone-based education programs for hypoglycemia prevention. This study aimed to assess the feasibility of a smartphone application-based diabetes education model, developed using the health belief model and social cognitive theory, to enhance the ability of diabetes mellitus patients to detect hypoglycemia.

This design and development research utilized a pre-test and post-test design without a control group and was done on 64 diabetics between May and September 2023. Statistical analyses were performed using the paired t-test.

The mean patient's score on the ability to prevent hypoglycemia was 45.13 before the intervention. After the intervention, the patient's ability increased by 3.21 to reach 48.34. The paired t-test yielded a p-value of 0.0001, indicating a significant difference in the ability to detect hypoglycemia before and after the intervention.

Nursing Education Diabetic Therapeutic Application (NEDTA) was declared feasible to use in detecting hypoglycemia.

Smartphone users frequently connect to the Internet via mobile data or Wi-Fi. Over the past two decades, the worldwide percentage of people who connect to the Internet using their mobile phones has increased drastically.

This study aimed to evaluate the potential link between mobile cellular data/ and Wi-Fi use and adverse health effects.

This cross-sectional study was conducted on 2,796 employees (52% female and 48% male) of Shiraz University of Medical Sciences (SUMS), Shiraz, Iran. The sociodemographic data (e.g., gender, age, nationality, and education level) were collected for all the participants. They were also requested to provide information about their smartphone use including the characteristics of the connection to the Internet using their smartphones (mobile data and Wi-Fi). In addition, the participants’ history of diabetes, hypertension, cardiac ischemia, myocardial infarction, renal failure, fatty liver, hepatitis, chronic lung disease, thyroid disease, kidney stone, gall bladder stone, rheumatoid disease, epilepsy, and chronic headache was recorded through face-to-face interviews.

94% of people participating in this study reported using mobile/Wi-Fi internet. The mean (±SD) Internet usage per day was 117.85±122.70 minutes including 76±98 minutes of mobile data and 42±81 minutes of Wi-Fi use. 

Our findings showed no link between mobile phone Internet usage and the risk of the above-mentioned health problems. As in 2021, the global average daily time spent on the Internet using mobile phones was 155 minutes, the participants’ lower use time could explain the failure to show any detrimental effects. Considering the study limitations, further large-scale studies are warranted.

Cardiovascular diseases are a leading cause of mortality globally, with health literacy playing a crucial role in predicting mortality rates. Social media has emerged as an effective tool for disseminating information and promoting public health. This study aimed to assess social media usage among patients with ST-elevation myocardial infarction (STEMI). This prospective, observational, multicenter study was conducted between July 2021 and August 2023 in Tehran, IRAN. Patients of both genders, over 20 years of age, who experienced STEMI consecutively were included in the study. Data were obtained using questionnaires after obtaining permission. There were 221 patients, 44.3% (98/221) of patients at the Taleghani Hospital and 55.7% (123/221) at the Shahid Modarres Hospital. The mean age of patients was 57.34 ± 11.30, and 87.3% of patients were male. Totally, 94.5% (209/221) had cell phones, 71.0% (157/221) had smartphones, and 65.6% (145/221) used social networks. WhatsApp was the most commonly used social network, 91.0% (132/145). Patients with higher education had a significantly higher proportion of using email or smartphones. Also, younger patients had a higher proportion of email or smartphone usage. Most patients diagnosed with STEMI own smartphones and frequently use social networks. WhatsApp is the most commonly used social network platform. However, older individuals or those with lower literacy tend to use social networks less frequently.

Pulmonary Rehabilitation (PR) is recommended as a standard, effective, and important treatment for COVID‑19 survivors who remain symptomatic after the acute phase. Therefore, we aimed to compare the effect of mobile phone‑based PR application with face‑to‑face PR on the quality of life, anxiety, depression, and daily life activities of COVID‑19 survivors.

A quasi‑experimental was conducted on 65 COVID‑19 survivors during 2022. Convenient sampling was done based on the inclusion criteria. The intervention group (n = 31) received PR through a mobile phone application, and the control group (n = 34) received face‑to‑face PR. Data were collected before and after the intervention in both groups using a demographic information questionnaire, SF‑12, the hospital anxiety and depression scale, and Barthel scale. For all tests, a maximum error of 5% was considered.

The two studied groups had no statistically significant difference with respect to all the investigated variables at baseline (p > 0.05). After the intervention, the mean anxiety and depression score of the patients in the control group was significantly lower than the intervention group (t = −3.46, f = 63, p = 0.01). After our intervention, there was no statistically significant difference in the mean quality of life and daily life activity scores between the two groups (t = −0.68, f = 63, p > 0.05).

The application of PR does not show a statistically significant difference in terms of improving the quality of life and daily activities compared with the face‑to‑face method; we suggest that the PR application be used as a cost‑effective method when face‑to‑face PR is not possible.

This study aimed to identify the status of social media addiction (SMA) and some related factors in nursing and midwifery students in Iran.

In this cross-sectional study, 284 Nursing and Midwifery students participated. The study was conducted from October 4, 2021 to February 16, 2022. Sampling was done by simple random method. The data collection tool was Bergen’s Social Media Addiction Scale (BSMAS). Data analysis was performed using SPSS version 22. Pearson correlation and multivariate linear regression tests were used to analyze the data.

234 (82.39%) of the students had some level of social media addiction. There was a statistically significant relationship between the hours of using social media during the day and the duration of using these media with addiction (β = 0.537, P < 0.001). There was a significant relationship between SMA and living single and independently (β = 0.58, P = 0.032). SMA had no significant relationship with other demographic characteristics of students (P > 0.05). A statistically significant relationship was also between SMA and students’ academic performance (β = -0.412, P < 0.001).

The prevalence of SMA in the study population was alarmingly high. This emerging social problem should be considered in the community of nursing and midwifery students. Because this type of addiction can affect the quality and quantity of nursing care, with the development of attractive social networks dedicated to education and learning, these networks should be directed toward useful student goals. 

As the prevalence of the coronavirus increases, there is now more emphasis on reducing "face-to-face" patient visits. Therefore, the use of smartphones and their special medical applications can play an important role in following up patients. The aim of this study was to evaluate the use of smartphone in evaluating clinical outcomes and range of motion of patients after elbow operation.

Forty patients were randomly selected from patients undergoing elbow operation. Patients were divided into two groups, so that in the first group, the patients were visited and then were followed-up for 2,6, and 12 weeks as well as 6 months after first visit by smartphone connection and delivering the pictures and videos of involved organ to the physician as well as having the physical examination him. In the second group, all assessments were performed by clinical visiting at the same time points.

The two groups were similar in baseline characteristics including demographics; the side of involved elbow, type of fracture, surgical approach, operation time, and mean Mepi score. Assessing the postoperative complications and also patients' satisfaction was also similar in both groups. There was no difference in different range of elbow motion degrees between the case and control groups at different times of following-up as well as the progress in motion of elbow after surgery in two groups. Moreover, there was no significant difference between the range of motion evaluated by smartphone and physical examination.

The use of the smartphone has a high degree of accuracy and sensitivity in assessing the status of elbow range of motion after surgical treatment, both in the short and long term after surgery.

The usage of smartphones has become common among adolescents, despite knowing the health‑related problems of the user. Currently, the availability of electronic gadgets has become economical and this has an impact on society, especially on the behavior of adolescents.

A cross‑sectional survey design was used to find the pattern of smartphone usage, smartphone addiction, and subjective health problems associated with smartphone usage. The data were obtained from 270 nursing students using the convenient sampling technique using a sociodemographic proforma, semi‑structured questionnaire on the pattern of smartphone usage, Smartphone Addiction Scale, self‑reported subjective health problems questionnaire, and study habits scale. STATISTICAL ANALYSIS: Descriptive and inferential statistics was used for the analysis using SPSS 16.0.

The study findings revealed that most of the participants 243 (90.0%) were using 4G phones. The majority 88 (32.60%) of the participants were using a smartphone for less than 2 hours at a stretch in a day. Most uses of a smartphone were in the night 155 (57.40%). The main usage of a smartphone was for entertainment purposes 213 (78.90%). Most of the participants 196 (72.6%) were moderately addicted to smartphones. One‑third 109 (40.2%) of the participants complained of headache, followed by straining of the eyes 83 (30.6%).

The awareness of smartphone addiction and health‑related problems associated with smartphone usage has been shown to decrease its impact. The study concluded that it is very much necessary to identify the pattern of smartphone usage, to prevent the consequences of addiction and health problems associated with smartphone usage.

Nomophobia, short for no mobile phobia, is the fear of being without a smartphone. Nomophobia is common, especially in the young population, with an increase in the use of technology in society.

This study aimed to determine the nomophobia levels of nursing students and the relationship between nomophobia and personality traits.

This multicenter, descriptive, and relational study was carried out in three different universities. The students were reached via the Web-Anket application within June to July 2021. The nursing department students in Turkey (n = 818) constituted the research population. No sample selection was performed in the study, and all students who accepted to participate and met the inclusion criteria were included in the study. The study was conducted on 424 nursing students. The data were collected via an online personal information form,Nomophobia Questionnaire, and 10-Item Personality Inventory (TIPI). Percentage, mean± standard deviation, analysis of variance, and Pearson correlation coefficient tests were used to analyze the data.

Themeanage of the participants was 20.5 ± 1.8 years. Moreover, 84.7% of the participants were female. Additionally, 93.2% of the subjects lived with their parents, and 63.0% reported that the monthly income of the family was equal to monthly expenditures. It was shown that 31.1% of the students had mild nomophobia; nevertheless, 52.6% and 16.3% of the students had moderate and severe nomophobia, respectively. The totalnomophobiascore was observed to be 74.17 ± 25.53. The TIPI subdimensions’ meanscores were 9.87 ± 2.29, 8.83 ± 2.33, 8.66 ± 2.82, 10.66 ± 2.65, and 9.34 ± 3.04 for openness to experience, agreeableness, emotional stability, conscientiousness, and extroversion, respectively. This study revealed that students’ smartphone usage purposes and personality traits were related to their nomophobia levels.

More than half of the nursing students had a moderate level of nomophobia. There is a relationship between the purpose of smartphone use and students’ personality traits with their nomophobia levels.