Free sex text Coggon phone chat us

Added: Little Drewry - Date: 10.11.2021 22:19 - Views: 13012 - Clicks: 615

Published on Authors of this article:. They are the leading causes of presenteeism employees being physically present at work but unable to be fully engaged. Recently, digital interventions have begun to be used to manage health but their effectiveness has not yet been fully verified, and adherence to such programs is always a problem.

We recruited participants with these symptoms through notifications. The program was fully automated. The control group continued with their usual care routines. We used a logistic regression model to calculate the odds ratios ORs of the intervention group to achieve to reduce pain scores with those of the control group, and the ORs of the subjective assessment of the improvement of the symptoms compared to the intervention and control groups, which were performed using Stata software version 16, StataCorp LLC.

: We analyzed 48 participants in the intervention group and 46 participants in the control group. Further studies are needed to identify the elements contributing to the successful outcome of the AI-assisted health program.

Musculoskeletal symptoms of the neck and shoulder and low back pain are common health problems in the working population [ 12 ]. In Japan, shoulder stiffness and low back pain are the most common somatic symptoms. In men, low back pain is the most common, followed by stiff shoulders; in women, the order is reversed—stiff shoulders rank first, while low back pain ranks second [ 3 ]. Health problems in employees incur substantial costs in terms of medical care expenditure and poor work productivity, which is marked by absenteeism and presenteeism [ 45 ].

Absenteeism is defined as health-related absence from work, and presenteeism is the condition where employees are physically present at work but are unable to fully engage themselves [ 45 ]. A recent survey reported that neck and shoulder stiffness followed by low back pain were the leading causes of presenteeism in Japanese workers [ 5 ].

The causes of most musculoskeletal symptoms are not clearly known.

Free sex text Coggon phone chat us

However, hemodynamics in the trapezius muscle is expected to be involved [ 78 ]. Besides, head-down posture, psychological factors [ 9 ], and physical inactivity [ 10 ] are related to chronic neck and shoulder pain. Low back pain is mainly classified into 2 : specific and nonspecific. Specific low back pain occurs when the symptoms are caused by a specific pathophysiological mechanism such as lumbar disk herniation, infection, osteoporosis, rheumatoid arthritis, fracture, or tumor [ 11 ].

Several studies have reported methods to minimize the discomfort from such symptoms—a combination of exercises and psychological approaches seems effective for patients with musculoskeletal symptoms. Moderate-to-strong evidence suggests that exercise therapy is effective in relieving pain and improving function in musculoskeletal disease [ 12 - 18 ]. However, there seems to be little evidence on the types of exercises and programs that are effective in relieving musculoskeletal pain [ 12141519 ].

There are also several psychological treatments or therapies for musculoskeletal symptoms [ 12 ]. In a study on patients with chronic low back pain, both groups one that received only exercise therapy and another that received a combination of cognitive behavioral therapy and exercise therapy showed improvements in pain intensity and quality of life compared to baseline [ 20 ]. Patients with chronic pain who received acceptance and commitment therapy, a third-generation cognitive behavioral therapy based on mindfulness, experienced minor improvements in pain intensity and the degree of depressive symptoms and dysfunction and moderate improvements in the degree of anxiety and disability caused by pain compared to patients in the normal treatment group and control group [ 21 ].

One problem with exercise therapy is the low level of adherence to the prescribed exercises. The lower the adherence to exercise, the lesser effective is the therapy [ 24 ]. Therefore, adherence is a critical factor that determines the outcomes of the intervention process [ 25 ].

The type of exercise does not seem to influence adherence [ 25 ], but support from experts seems important [ 2627 ]. Supervised exercises, review sessions, and visual or audio aids are also effective [ 25 ]. Additional support such as phone calls, reminders, and text messages promotes the engagement of digital interventions [ 28 - 33 ]. In Japan, the medical system has not been able to provide sufficient services for such conditions. Some enthusiastic medical professionals, preventive medical services, and occupational health services provide care for people with functional impairments such as musculoskeletal symptoms.

In most other situations, patients need to look for ways to improve their symptoms on their own. Currently, digital health programs using smartphones, tablets, and computers are relatively inexpensive and are widely accepted, especially by the young and the middle-aged.

Three systematic reviews involving musculoskeletal symptoms that included a plethora of studies with digital interventions, for example, mobile phone apps, websites, and web-based software have been performed [ 283435 ]. About half of these showed that digital interventions were effective in reducing low back pain [ 2830 - 323637 ].

Free sex text Coggon phone chat us

Conversely, it has also been suggested that digital interventions may have possibilities to improve adherence in the target population [ 26 ]. Some studies including digital health interventions have shown enhanced self-management and adherence to medications in patients with asthma, chronic obstructive pulmonary disease, hypertension, and diabetes [ 40 - 43 ].

As a measure of encouraging them to continue the exercises, we provided them with secaide Ver. We hypothesized that this digital intervention would support participants to continue exercising and enhance their adherence to the exercises, resulting in greater improvement of symptoms. To the best our knowledge, this is the first study to use a chatbot as a health care support measure through a messaging app to improve the musculoskeletal symptoms of workers.

We set the intervention and control groups, and the participants of the intervention group used the AI-assisted health program for 12 weeks and those of the control group continued their regular exercise routine at their workplace. We provided an explanatory document regarding the study to the applicants and obtained informed consent.

This trial was conducted with the approval of the ethics committee of the University of Tokyo Hospital ID and the ethical review of the target company. We conducted this study in a company that develops, des, and manufactures precision electronic components and that has approximately employees. Some employees were manufacturing engineers who managed and supervised the manufacturing process of the precision electronic components, but most employees were white-collar employees who were engaged in the de, development, or clerical work of the product.

They chose participants based on data from the periodic health survey conducted by the target company. The company performs the survey once a year to check the physical and mental health conditions of the employees. The employees used a specific URL to into the health check system and answer specific questions, according to the instructions provided.

They recruited applicants by notifications between September 3 and 14, The inclusion criteria were as follows: employees aged years, who had their own cell phones and the apps could be installed on the phones, and who understood the purpose and agreed to the publishing of the contents and of the study.

The exclusion criteria were as follows: employees who disagreed with the study, were pregnant or may have been pregnant, had cardiopulmonary diseases, participated in other clinical trials, and had any other obvious disabilities or exercise restrictions. A total of employees applied for the study. After we confirmed that the applicants met all the inclusion criteria and did not violate any of the exclusion criteria, all participants were randomized to 2 groups by generating random s on a computer and stratified by year age groups and separated by the age group with a allocation ratio.

We held an initial training session for the applicants to explain the purpose of the study and obtained informed consent. We also explained to the participants of the intervention group how to install and use the AI-assisted health program on their cell phones to inform them a Quick Response code and a passcode to access the program on September 26 and 27, After that, they started to use the program.

Free sex text Coggon phone chat us

The control group continued with their regular exercise routine, which included exercising for about 3 minutes during the break time provided by the company every day to prevent stiff shoulders and back pain. We also allowed the control group to use the AI-assisted health program after the week intervention. The AI-assisted chatbot was programmed to send the users messages with the exercise instructions and some tips on what they can do in their daily lives to improve those symptoms. The messages were sent every day at a fixed time through LINE. The notification time could be changed by the users to a time convenient for them.

The participants could finish their exercise within 1 minute each day. The program is interactive and the participants can respond to the messages by using a simple selection list; the chatbot offers them tailored replies depending on their responses. The exercise provided by the program had 3 components: stretching [ 45 - 47 ], maintaining good posture [ 4849 ], and mindfulness [ 21 ] Figure 1.

When the participants interrupted the exercise, the chatbot motivated them to continue exercising. The program we used in this study was named secaide Ver. Until we performed this interventional study, this program had not been used or evaluated ly. During the intervention period, we notified participants that occupational health staff at the company would respond to inquiries about changes in their physical conditions and the company that provided the program would reply to technical questions about accessing the program, but we did not provide any human support such as specific advice on how to perform the exercises or recommendation to continue the exercise.

Then, we calculated the adherence rate by dividing the abovementioned count by the of participants at the start of the intervention. In this study, we set 2 types of outcomes. A score of 4 or more was defined as severe pain. The second was a subjective assessment of whether there was an improvement. The participants were asked to subjectively rate whether their pain had improved after 12 weeks; they chose from the following options: improved, slightly improved, unchanged, slightly worse, and worse.

Those who responded that their pain had improved or slightly improved were defined as the group that showed subjective improvement. All participants answered the questions through a web-based form. A linear regression analysis was used to compare the intervention and control groups for change in the subjective pain scores after the program. The odds ratios ORs of the intervention group to achieve a subjective pain score of less than 3 compared with those of the control group was estimated using the logistic regression model. In addition, the OR of the subjective improvement of the symptoms compared to the intervention and control groups was estimated using the logistic regression model.

A total of employees applied for this study. All the employees were engineers who were engaged in developing or deing precision devices or clerical workers, which meant that they spent most of their working hours doing sedentary work. Unfortunately, 13 and 14 applicants allotted in the intervention group and control group, respectively, could not participate in the session or answer the baseline survey.

Therefore, the intervention started with 48 and 46 participants in the intervention and control groups, respectively. We could follow up 48 and 42 participants in the intervention and control groups, respectively. Table 1 shows the baseline characteristics of the participants who answered the survey at baseline. Of the 48 participants in the intervention group, 47 started the AI-assisted health program and 44 continued the exercise for the entire intervention period.

Table 2 shows the of the outcomes. We analyzed the outcomes by dividing them into 2 depending on whether symptoms were severe a score of 4 or more or not a score of 3 or less at 12 weeks. We also examined the OR of the outcomes Table 3. The OR of the subjective improvement in symptoms at 12 weeks was High adherence is associated with improvement of the symptoms [ 222627 ]. The seemed to be largely attributed to the high adherence of the participants. This program was deed to improve exercise adherence. This program has been mainly implemented with both instructions and reminder functions. The chatbot sent a message with the exercise instructions and a corresponding illustration at a fixed time every single day, which also functioned as a reminder feature that sent instructions at a fixed time each day.

Some studies have shown that social support is essential for enhancing adherence to home-based exercise [ 2650 ]. Concretely, feedback from experts to patients, interactions between patients and caregivers, and supervision from experts improve adherence [ 2451 ].

Digital interventions were more effective with human support [ 52 ]. In addition, further support such as phone calls, reminders, and text messages was used to promote engagement in digital interventions [ 28 - 33 ]. reminders increased exercise adherence [ 5354 ]. Interaction through the chatbot app of this program may have also given participants a sense of support.

Free sex text Coggon phone chat us

Although the participants were not supervised or provided feedback by the experts, the service provided both good and bad examples of how the exercise was supposed to be performed. Besides, they were motivated from time to time to continue with the exercise every day. Therefore, the participants might have felt supervised. In that respect, the program also had a monitoring function.

Free sex text Coggon phone chat us

email: [email protected] - phone:(886) 368-1686 x 6155

Local Iowa swingers and dogging sex contacts