Increase In Smartphone Usage Research Articles

Smart Assistant for Essential Voice Interaction (EVI Assistant)

Voice assistants have emerged as a significant trend in contemporary society, revolutionizing human-computer interaction by processing and responding to verbal commands. By utilizing artificial intelligence, these programs efficiently interpret voice input to perform a wide range of tasks. In today's fast-paced world, voice assistants are essential tools that enhance productivity, accessibility, and convenience. For instance, Google's smartphone assistant, which has become familiar to children due to increased smartphone usage during the pandemic, and Amazon's Alexa, which controls household devices through the Internet of Things, showcase their broad utility. The research provides a comprehensive overview of voice assistants, with a focus on the various Python packages used in their development. Emphasizing the accessibility benefits for individuals with physical disabilities, voice assistants can perform tasks such as answering questions, setting reminders, and controlling smart devices.

The effects of goal setting, notification alerts, and sharing results with peers on smartphone usage

AbstractSmartphones are highly complex machines serving multiple purposes. Although access to different applications may be a source of inspiration and may lead to increased well‐being, excessive screen time usage can lead to increased stress, reduced physical activity, and neck and shoulder discomfort. The purpose of the present study was to evaluate the effects of (a) goal setting, (b) turning off notifications, and (c) sharing information about screen time with peers on smartphone usage in a sample of young adults who reported interest in reducing their smartphone usage. Goal setting and turning off notifications for social media applications effectively reduced smartphone usage for five out of seven participants. Sharing information with peers did not lead to decreased smartphone usage. Follow‐up measures showed an increase in smartphone usage compared to the intervention phases. With only a few studies on strategies to reduce smartphone usage within behavior analysis, the current study expands the literature and provides directions for future studies.

Cyberchondria and smartphone addiction: A correlation survey among undergraduate medical students in Egypt

BackgroundThere is an increase in smartphone usage globally. Cyberchondria (CYB) is characterized by excessive Internet searches for health information. Smartphone addiction is constantly rising among medical students together with CYB as a collateral emerging risk, yet there is limited research available on the topic.MethodsThis cross-sectional study explores the rising phenomenon of smartphone addiction and its potential role in CYB among medical students in seven Egyptian universities. A total of 1435 medical students participated in completing online questionnaires that assessed smartphone addiction and CYB using the Smartphone Addiction Scale-Short Version (SAS-SV) and Cyberchondria Severity Scale (CSS-12). Multivariable regression analysis was applied to assess predictors of smartphone addiction and CYB.ResultsBased on the used scales, 57.6% of students were suffering from smartphone addiction, and 85.8% exhibited a moderate degree of CYB. There was a significant positive correlation between smartphone addiction scores and CYB (p < 0.05). The multivariable regression models revealed that four factors including using Facebook, using WhatsApp, increasing time spent on the Internet per day, and a higher CYB score increase the probability of smartphone addiction. The factors that increase the probability of CYB are using Facebook, an increase in the frequency of Internet searches, a higher degree of worry about one’s health or a family member’s health, and being a smartphone addict.ConclusionSmartphone addiction among undergraduate medical students is prevalent. Social media use, time spent online, and smartphone addiction were linked with the risk of CYB. Regular physical activity decreases the probability of smartphone addiction. Awareness programs and increased mental and physical activities are required to help reduce smartphone addiction among youth.

Driving and mobile phone use: Work addiction predicts hazardous but not excessive mobile phone use in a longitudinal study of young adults.

Work addiction (WA), characterized by dimensions such as overcommitment, difficulties in detachment from work, and work-life imbalance, is presumed to be associated with increased smartphone usage, even during risky activities like driving. The study investigated the connection between WA and future problematic and hazardous smartphone use, considering personality factors: anxiety, rumination, and worry. A three-wave longitudinal study (N=1,866) was conducted from March to July 2019, June to September 2020, and June to November 2021, involving a representative sample of 18-34-year-old residents in Hungary's capital. The study employed Hungarian versions of the Bergen Work Addiction Scale, Problematic Mobile Phone Use Questionnaire, Ruminative Response Scale, Anxiety subscale of the Brief Symptom Inventory 18, and Penn-State Worry Questionnaire. Additionally, author-developed questions on mobile phone use while driving were included. At baseline, those at risk for WA showed more frequent mobile phone use while driving at both time points 2 and 3 compared to the non-risk group. Path analyses revealed rumination, anxiety at time 1, and worry at time 2 as significant mediators between baseline WA and mobile phone use while driving at time 3. However, when analyzing all three mediators together, only anxiety at time 1 and worry at time 2 remained significant. This study demonstrates that WA predicts future mobile phone use while driving through mediation by anxiety and worry. Our findings add to the growing evidence highlighting the detrimental aspects of WA, emphasizing the need for improved prevention and treatment strategies.

자기통제고갈이 스마트폰 중독자의 스마트폰 사용욕구 증가에 미치는 영향

This study investigated smartphone craving in individuals prone to addiction under depleted self-control conditions. Participants (N=352) were categorized into a high-risk addiction group (30 individuals) and a general usage group (30 individuals) using the Adult Smartphone Addiction Scale. They were subjected to self-control depletion (deleting the letter 'e' for 5 minutes) or a control condition. Wireless devices were then provided, and smartphone craving was assessed using a go/no-go task measuring reaction time and accuracy. Results revealed higher accuracy and faster reaction times for smartphone-related pictures in the high-risk group under self-control depletion compared to the control condition. In essence, when high-risk individuals depleted self-control, they exhibited heightened craving, indicating increased smartphone usage desire. The study underscores the importance of enhancing self-regulation in smartphone addicts, especially when self-control resources are depleted or executive functions are compromised in stressful conditions.

A comparative study on eating habits and mental health of Korean middle school students according to their bedtime across regions: using data from the 2020-2022 Korea Youth Risk Behavior Survey.

The objective of this study was to compare dietary habits and mental health among middle school students in urban and rural areas based on bedtime, and to provide evidence supporting appropriate bedtime for Korean middle school students in relation to their healthy dietary habits and mental well-being. The study population consisted of 25,681 second-year middle school students who participated in the Korea Youth Risk Behavior Survey in 2020-2022. Participants were asked about their bedtime and wake-up time during the past 7 days and were classified into five categories. The study compared the general characteristics, academic factors, dietary habits, and mental health of urban and rural students based on their bedtime. Bedtime was found to be later in the following order: urban female students, rural female students, urban male students, and rural male students. As bedtime got later, the rates of smoking and alcohol consumption increased. Students who went to bed before 11 p.m. had lower academic performance, while rural male students who went to bed after 2 a.m. had lower academic performance. Later bedtime was associated with increased smartphone usage, skipping breakfast, consuming fast food, and drinking carbonated beverages. Later bedtime was also associated with higher perceived stress levels, particularly among students who went to bed after 2 a.m., higher rates of suicidal ideation, experiencing sadness and despair, as well as the prevalence of clinically significant anxiety disorders. These results suggest that middle school students who go to bed too late have higher rates of smoking and alcohol drinking, as well as unhealthy eating habits, stress, suicidal ideation, sadness, and anxiety. Therefore, it is necessary to provide educational and social institutional support to promote adequate sleep for the health of adolescents.

Influence of social and psychological factors on smartphone usage during the COVID-19 pandemic.

This study investigates the influence of psychological factors-specifically affective and cognitive risk perceptions, social distancing attitudes, subjective norms, and cabin fever syndrome-on smartphone usage intensity during the COVID-19 pandemic, with a particular focus on university students. Utilizing a cross-sectional survey design, data were collected from 314 university students from South Korea and Vietnam. Structural equation modeling was employed to analyze the relationships between the psychological constructs and their impact on smartphone usage. The analysis confirms that both affective and cognitive risk perceptions significantly influence attitudes towards social distancing. Furthermore, these social distancing attitudes are found to significantly affect cabin fever syndrome, suggesting that positive attitudes towards social distancing are closely associated with higher reports of cabin fever. Notably, cabin fever syndrome emerges as a significant predictor of increased smartphone usage, underscoring its role as a mediator between prolonged isolation and digital engagement. Additionally, subjective norms are also shown to significantly influence smartphone usage intensity, highlighting the impact of social expectations on digital behaviors during the pandemic. The study highlights the complex interplay between psychological distress induced by social restrictions and increased reliance on digital technology for social connectivity. These insights suggest that mental health interventions and digital literacy programs tailored to university students' needs can be effective in managing the negative impacts of prolonged social isolation.

The Effects of Smartphones on Child Health

Over the last ten years, technology has advanced significantly, and more people throughout the world have access to smartphones. Because of the increased use of technology, including cellphones, children are leading more sedentary lifestyles. Long-term smartphone usage has sparked further questions about possible changes in spinal posture, continual neck flexion, restrictions on neck motions, and declines in pulmonary function. According to data from the Pew Research Center, the proportion of smartphone users in emerging and developing nations increased quickly from 21% in 2013 to 37% in 2015. By 2020, the numbers are projected to be 6.4 billion smartphone subscribers, or around 70% of the world's population. In the US, 84% of teenagers aged 13 to 19 and 79% of children aged 9 to 12 possess cellphones, and by the time they are 12 years old, they use their smartphones on average for five hours each day [1]. Mobile phones have reportedly become a need for young people and children, according to Pakistani research on cell phone habits among teens in southern Punjab [2]. Due to the rise in smartphone use among kids and teenagers, their musculoskeletal systems are significantly impacted. Obesity, poor posture, and thoracic limitation brought on by muscular imbalances are linked to the decline in fundamental physical fitness. The aforementioned issues often lead to a decline in pulmonary function. Musculoskeletal problems are likely to worsen with time, particularly if users see their cellphones with their heads flexed. Excessive smartphone usage may also affect the cervical angle scan, especially if users don't keep their posture neutral, which might put more strain on the cervical spine. Constant forward neck flexion when using a smartphone causes the lower cervical spine to bend excessively, which is linked to decreased lung function and respiratory muscle power. In terms of psychology, excessive smartphone usage weakens social bonds and increases loneliness, sadness, and social anxiety, leading to mental immaturity, emotional instability, inattentiveness, and lack of self-control in kids. Increased sleep issues are also linked to increased mobile phone use. Despite certain benefits, the increased use of cell phones has raised a lot of concerns over their negative impacts on academic performance, health, and character development. Several health issues are also related to increased smartphone usage in children. To maintain posture, cranio-cervical and improved respiratory function, instruction on optimal smartphone using posture as well as information on the implications of prolonged smartphone usage are required.

Smartphone usage behaviors and their association with De Quervain’s Tenosynovitis (DQT)among college students: a cross-sectional study in Guangxi, China

BackgroundThe growing prevalence of smartphone use among college students in China has led to health concerns, including De Quervain’s Tenosynovitis (DQT). However, the specific smartphone usage behaviors contributing to DQT remain poorly understood. This study aimed to explore the relationship between smartphone usage behaviors and DQT in college students.MethodsA cross-sectional study was conducted with 937 students from various majors in Guangxi between September 2021 and April 2022. Participants completed an online questionnaire assessing smartphone usage behaviors and their association with DQT. The Finkelstein test was employed to diagnose DQT.ResultsOver half of the college students (52%) tested positive for DQT via Finkelstein’s test. Higher levels of smartphone usage time (6–8 h/day: OR = 4.454, 95%CI:1.662–12.229; ≥8 h/day: OR = 4.521, 95%CI:1.596–12.811), phone games (OR = 1.997, 95%CI:1.312–3.040), social media (OR = 2.263, 95%CI:1.795–3.833), and leisure activities (OR = 1.679, 95%CI:1.140–2.475) were significantly associated with an increased risk of DQT. Two specific gestures (Bilateral thumbs, BT: OR = 1.900, 95%CI:1.281–2.817; Bilateral thumbs-horizontal screen, BT-HS: OR = 1.872, 95%CI:1.244–2.818) and two screen sizes (5.0-5.5inch: OR = 2.064, 95%CI:1.108–3.846; 6.0-6.5inch: OR = 2.413, 95%CI:1.125–4.083) also exhibited a higher risk of DQT. Bilateral DQT was observed, with Gesture-BT identified as the primary risk factor.ConclusionOur findings suggest that increased smartphone usage time, phone games, social media, and leisure activities elevate the risk of DQT among college students. Furthermore, two specific gestures and two screen sizes were also linked to a heightened DQT risk. To mitigate DQT development, college students should reduce smartphone usage time and adopt appropriate gestures.

A smartphone accelerometer data-driven approach to recognize activities of daily life: A comparative study

Smartphones have become an indispensable part of our everyday life, influencing various aspects of our routines, from wake-up alarms to managing daily life activities. Nowadays, almost every smartphone has a built-in accelerometer sensor. Motivated by the notable increase in smartphone usage in our everyday life, in this research, we focus on harnessing the potential of smartphone accelerometers to recognize human daily life activities, aiming to leverage the usability and convenience of smartphones. We used smartphone accelerometer data from data collection to daily life activity recognition. To accomplish this, we first collected the smartphone's accelerometer data while performing five activities of daily living (ADLs) namely: moving downstairs, upstairs, running, standing, and walking, from 25 volunteers through a mobile application. After this, we extracted 15 statistical features from the smartphone's accelerometer data to efficiently classify the five referred ADLs. We then applied data pre-processing techniques, i.e., data cleaning and feature extraction. Afterward, we trained nine commonly used machine learning models to recognize five ADLs. Finally, we evaluated and compared the performance of all nine ML models to recognize each activity and analyzed the performance of these trained ML models to identify all five ADLs. The evaluated results revealed that the Adaboost (AB) classifier outperformed all other ML models with 100% area under the curve (AUC), precision, recall, accuracy, and F1-score for recognizing the five ADLs.

A STUDY ON THE USAGE OF FINTECH SERVICES AND ITS LEVEL OF SATISFACTION WITH SPECIAL REFERENCE TO NORTH BENGAL (WEST BENGAL)

Fintech, or financial technology, has been growing rapidly in India in recent years. With the emergence of digital technologies and mobile connectivity, fintech has transformed the financial landscape of India. The adoption of Fintech services in India has been influenced by various factors such as government initiatives, the growth of e-commerce, and the increase in smartphone usage. Despite the growing popularity of fintech services in India, challenges still need to be addressed to increase adoption. One of the significant challenges is the lack of financial literacy among consumers. Many consumers are not aware of the benefits of fintech services and are hesitant to adopt them. Consumer attitude plays a crucial role in the adoption of Fintech services in India. Consumers' willingness to adopt fintech services is influenced by various factors which are discussed in various studies. Consumers who perceive fintech services as easy to use and useful are more likely to adopt them. Additionally, trust and security are essential factors that influence consumers' decisions to adopt fintech services. FinTech is a new industry that uses technology to help people manage their money better. It is a broad category that includes many different technologies; however, the major objective is to alter how people and businesses access their finances and to make them more competitive with traditional financial services. For instance, Phone pay, Bharat-pay, Google pay, Amazon pay, etc. are well accepted by fintech users. It is observed that technology has been well accepted among the young generation therefore this study is an attempt towards studying extent of awareness and level of satisfaction achieved towards using the fintech services. The study found young people to be highly aware of fintech services who also accepted using it, awareness and acceptance do affect age disparities but not gender disparities. The degree to which users are satisfied with fintech services is also thought to be influenced by variances in age and gender.

Analysis of Smartphone Addiction Today: A Literature Review

Today, smartphone users are rapidly increasing all over the world. Smartphones bring lots of benefits to society. It enables people to connect with the whole world and spread the latest ideas to countries worldwide more efficiently and conveniently. This could never be done in the past when smartphones had not yet developed. However, the vast increase in smartphone usage has had significant negative consequences for society. The risk of anxiety and depression may rise with disorders that negatively impact people’s daily lives such as social dysfunction, obesity, and sleeping disorders as a result of excessive smartphone use. These disorders led by smartphones differ for individuals based on their different personalities and experiences. The main causes of smartphone addiction can be divided into three factors: internal factors, emotional factors, and social factors. The purpose of this paper is to investigate smartphone addiction with an analysis of its causes, impacts, and therapies through a literature review.

Health Issues Associated With Increased Smart Phone Usage Among Students During Covid-19 Pandemic Wave 2.0 In India

In recent years, as smart phones have grown in popularity, problematic cell phone use has gotten more attention among students. Due to the quarantine period, loneliness, and online classes, students' use of smartphones rose during the COVID-19 epidemic, affecting their physical and psychological well-being. Aim: To assess the health impact on excessive usage of smart phone and their effects among students during the COVID-19 pandemic wave-2.0 in India. Settings and Design: Data was acquired using a semi-structured Google Forms and responses were collected via social media via Google form among students across India during COVID-19. Results: Our research study shows that students were experiencing health problems like headache (86%), vision problems (68%), sleep pattern disturbance (79%), lack of attention (66%). The average usage of smart phone usage among the students were found to be greater than 4 hours per day for 85% of the students. Smartphone usages were more prevalent in males (56%) than in females (44%). The online classes cause increased usage of smartphone and affects their health more and 83% of the participants felt that they were addicted to smartphone. Concusion: Smartphone usage is becoming a necessity, even though students should be educated regarding proper usage and handling of smartphones and school/college should follow Government Guidelines for minimizing health hazards

Association of smartphone use with abnormal social jetlag among adolescents in Korea before and after COVID-19

PurposeThis study aimed to use social jetlag to determine how smartphone overuse by adolescents before and after the COVID-19 pandemic might be associated with their circadian rhythm. MethodsWe used 2017 and 2020 Korea Youth Risk Behavior web-based Survey data and conducted a survey analysis on 100,976 adolescents. The dependent variable was abnormal social jetlag. Based on the times recorded by the survey, we calculated the weekday midpoint and weekend sleep time. The main independent variable was smartphone usage time (<2h/day, 2–3.9 h/day, 4–5.9 h/day, and ≥ 6 h/day). Multiple logistic regression and relative excess risk due to interaction (RERI) were performed. ResultsAbnormal social jetlag was most prevalent in male and female adolescents who used smartphones ≥ 6 h/day (adjusted odds ratio [AOR] = 2.60, 95 % confidence interval [CI] = 2.47–2.74). The longer the smartphone usage time, the higher the association with abnormal social jetlag. This association was more prominent in female adolescents. The additive interaction between longer smartphone usage time and post-COVID-19 year was statistically significant (total: RERI = 0.92, 95 % CI = 0.90–0.95; males: RERI = 0.83, 95 % CI = 0.80–0.87; females: RERI = 1.13, 95 % CI = 1.08–1.18). ConclusionOur results clearly indicated that increased smartphone usage time tended to result in greater social jetlag, an association that was more pronounced in female. Moreover, the COVID-19 pandemic significantly strengthened this relationship. Further research is needed regarding the proper use of smartphones to ensure good sleep-in adolescents after the COVID-19 pandemic.

Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19

During pandemics, effective interventions require monitoring the problem at different scales and understanding the various tradeoffs between efficacy, privacy, and economic burden. To address these challenges, we propose a framework where we perform Bayesian change-point analysis on aggregate behavior markers extracted from mobile sensing data collected during the COVID-19 pandemic. Results generated by 598 participants for up to four months reveal rich insights: We observe an increase in smartphone usage around February 10th, followed by an increase in email usage around February 27th and, finally, a large reduction in participant’s mobility around March 13th. These behavior changes overlapped with important news events and government directives such as the naming of COVID-19, a spike in the number of reported cases in Europe, and the declaration of national emergency by President Trump. We also show that our detected change points align with changes in large scale external sources, including number of COVID-19 tweets, COVID-19 search traffic, and a large-scale foot traffic data collected by SafeGraph, providing further validation of our method. Our results show promise towards the feasibility of using mobile sensing to understand communities’ responses to public health interventions.

Digital Health in Schools: A Systematic Review

Worldwide, the growing digitalization process and increase in smartphone usage have contributed to promoting mobile health (mHealth) services. This study provides an overview of the research targeting the effectiveness of mHealth interventions among children and adolescents in the school environment. A systematic literature review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in the PubMed, Web of Science, and Scopus databases. The results show that physical activity and nutrition are the main intervention topics. Health literacy, mental health, productive health, vaccination rates, and social interaction were also considered in mHealth interventions. Of the 13 studies that remained for analysis, 12 described positive outcomes in at least one health variable after using an mHealth tool. Overall, interventions ranged between four and 24 weeks. Only seven studies managed to have at least 80% of the participants from the baseline until completion. Adding personal information, user interaction, and self-reference comparisons of performance seems crucial for designing successful health digital tools for school-aged children and adolescents.

Effect of a Digital Literacy Program on Older Adults' Digital Social Behavior: A Quasi-Experimental Study.

In South Korea, digital literacy education programs are expected to help its older population participate in online welfare services to increase their social support, self-esteem and well-being. This quasi-experimental study assesses the effects of digital literacy education on digital device usage among rural-dwelling adults aged 65 and above and evaluates the positive effects of digital literacy education on depression, happiness, quality of life, self-efficacy and cognitive function. A digital literacy education program and a customized questionnaire survey were conducted to evaluate smartphone use competency and the program’s effects, respectively. We also conducted a chi-square test, paired t-test and difference-in-differences regression analysis. The experimental group showed a significant increase in smartphone usage and video recording capacity than the control group. The happiness and cognitive function scores for dementia screening increased significantly by a mean of 3.7 and 1.1 points, respectively, after digital literacy education. Cognitive function increased significantly by 1.305 points in the experimental group compared to the control group (β = 1.305, p = 0.05 *). Digital literacy education for older adults in rural areas greatly increased smartphone use, video recording capacity, happiness and cognitive function. Based on these findings, it is recommended that the government should implement digital literacy education for older adults in rural areas to increase their happiness and cognitive function.

Can you hear me now? Momentary increase in smartphone usage enhances neural processing of task-irrelevant sound tones

According to popular belief when engaged on the smartphone surrounding information is ignored. However, emerging ideas based on laboratory-designed tasks suggest that the processing of task-irrelevant (distractor) information is enhanced when cognitive load is high as anticipated during intense periods of smartphone usage. Here we address the neural processing of task-irrelevant auditory tones while interacting with the smartphone touchscreen. We analyzed neural activity (EEG) while people (N = 24) were seated in public spaces and used their smartphones for ∼1.5 h. During this period, the number of touchscreen interactions spontaneously varied from one moment to another. The central and frontal theta-band (4–8 Hz) oscillations, an index of cognitive load, increased proportionally to the number of interactions. Moreover, an index of excitation:inhibition balance derived from the aperiodic signal components increased with the interactions. The auditory tones resulted in prominent evoked potentials with peaks at ∼50 ms, ∼100 ms, and ∼200 ms, reflecting the different cortical information processing stages. Of these, the ∼100 ms component was specifically related to the number of interactions such that the higher the number of interactions, the larger the neural signal amplitudes. Contrary to the popular notions but in keeping with emerging ideas on cognitive load, auditory information processing is enhanced with increased smartphone usage. In daily life, neural processing of the surroundings is partly shaped by the immediate cognitive demands imposed by the smartphone.

Association of Health Behaviors with Mental Health Problems in More than 7000 Adolescents during COVID-19.

Previous studies show detrimental effects of the COVID-19 pandemic and associated lockdowns on the lives of adolescents. Adolescents have experienced disruption in their daily routines, including changes in health behaviors such as an increased sedentary behavior and increased smartphone usage. The aim of this study was to assess the association of health behaviors with mental health problems in Austrian adolescents during the pandemic. Five cross-sectional surveys (February 2021 to May 2022) were performed during the pandemic assessing physical activity, smartphone usage, depressive symptoms (PHQ-9), anxiety symptoms (GAD-7), sleep quality (ISI-7), and stress (PSS-10). In total, N = 7201 adolescents (age: 14–20 years ((MW±SD): 16.63 ± 1.49 years); 70.2% female, 18.8% migration background) participated. A strong increase in mobile phone usage as well as a decrease in physical activity as compared to pre-pandemic data were observed (p < 0.001). Compared to the lowest smartphone user group (<1 h/d), the adjusted odds ratios (aOR) for all investigated mental health symptoms increased with increasing smartphone usage up to 3.2–6.8 in high-utilizers (>8 h/d). The aORs for depressive, anxiety, insomnia, and stress symptoms decreased in physically active compared to inactive adolescents. Results highlight the need for measures to promote responsible smartphone usage as well as to increase physical activity, so as to promote mental health in adolescence.

The impact of posture correction bands on the respiratory function of healthy adults in their twenties: The difference between men and women.

Recently, interest in posture correction has increased in Korea owing to increased smartphone usage. However, there have been no studies to evaluate the impact of wearing a posture correction band with an abdominal band on breathing and respiratory function. A total of 32 healthy adults, consisting of 16 men (mean age: 23.19 ± 2.88) and 16 women (mean age: 19.69 ± 1.49) participated in this study. Pulmonary function tests were conducted before and after wearing posture correction bands. In all the participants, forced vital capacity decreased significantly (P < .05) after wearing a posture correction band. The forced expiratory volume in 1 second and maximal inspiratory pressure decreased slightly (P > .05). The maximal expiratory pressure (MEP) and peak cough flow (PCF) increased slightly (P > .05). When respiratory functions were monitored separately in men and women after wearing a posture correction band, forced vital capacity and forced expiratory volume in 1 second were significantly reduced in men (P < .05). In women, MEP and PCF increased significantly (P < .05). In this study, we confirmed that the posture correction band had an effect on respiratory function. Lung capacity was statistically significantly reduced but was not clinically significant. In addition, in the case of women, it was confirmed that the abdominal band improved the MEP and PCF.