In 2022, approximately 83.3 percent of adults in the United States aged 45 to 64 years who practiced yoga reported practicing for the purpose of restoring overall health. Similarly, the share of people from other age groups practicing yoga for restoring their health was just slightly below 80 percent.

The dataset comprises both images and videos depicting right and wrong postures for a variety of Yoga asanas. The focus of the dataset is on 10 specific Yoga postures, namely Anantasana, Ardhakati Chakrasana, Bhujangasana, Kati Chakrasana, Marjariasana, Parvatasana, Sarvangasana, Tadasana, Vajrasana, and Viparita Karani.

The Image dataset comprises a total of 11,344 compressed images (256 × 256 dimension) and is organized into 10 subfolders, each corresponding to a specific Yoga asana. Within each subfolder, there are two additional folders labeled "Right Steps" and "Wrong Steps". The "Right Steps" folder contains several subfolders, each representing a specific step in the right sequence of the Yoga asana and displaying the corresponding images. On the other hand, the "Wrong Steps" folder includes multiple subfolders, each showing images of an wrong steps in the sequence of the Yoga asana.

The Yoga asana video dataset consists of 8 videos for each posture, comprising 4 videos demonstrating the right posture from 4 different angles and 4 videos exhibiting the wrong posture from 4 different angles. This dataset includes a total of 80 compressed videos for 10 Yoga asanas, with 40 videos demonstrating the right postures captured from 4 different angles, and 40 videos illustrating the wrong postures from 4 different angles.

The dataset has advantages for various groups, such as app developers, machine learning researchers, Yoga instructors, and Yoga practitioners. Machine learning researchers can utilize this dataset to train computer vision algorithms in recognizing and categorizing various yoga postures automatically. App developers can use the dataset to generate yoga apps that present users with visual guidance on executing each posture and keeping track of their progress.

The statistic shows revenue of the yoga industry in the United States in 2012, 2015 and 2020. In 2015, yoga industry revenue amounted to **** billion U.S. dollars in the United States. Yoga revenue in the United States – additional information Widely practiced for mental and physical health and relaxation, yoga is a physical, mental, and spiritual discipline which includes breath control, meditation, and specific body postures. The market for yoga has been growing over the years, particularly in the U.S., where the practice has spread throughout the country. This growth in popularity of the practice can be observed in different aspects of this market in the U.S. The number of people practicing yoga, for example, is on the rise. In spring 2015, the number of people who practiced yoga or pilates within the last 12 months amounted to **** million in the U.S. In total, the number of people doing yoga in the U.S. is forecast to grow from ** million in 2008 to around ** million by 2020. Revenue of the yoga industry in the U.S. is projected to amount to around **** billion U.S. dollars by 2020, a significant increase from the 2012 figure, when the yoga industry generated around ***** billion U.S. dollars in revenue. As of 2015, yoga classes make up the majority of the industry’s revenue. Yoga and pilates classes together accounted for ** percent of all revenue generated by the yoga and pilates market in the U.S. The industry generated ** percent of its revenue from pilates and yoga accreditation training, and ** percent from merchandise sales.

In 2022, approximately 80 percent of women practicing yoga in the United States reported practicing for the purpose of restoring overall health. Similarly, the share of men practicing yoga for restoring their health was also around 80 percent.

The brain plays a crucial role in regulating metabolic disorders through its structural and functional integrity. It acts a core centre for the function of the body and mind. Any changes to this can cause serious damage and lead to conditions developing in later life. Within this digital era, the active promotion of digital based careers and opportunities to work from home have resulted in people living more sedentary lifestyles, this can have an adverse effect on the body and mind.

Introduction

Yoga Industry Growth: Over the last several decades, yoga industry statistics have gone from being an exclusive process to a common lifestyle choice embraced by so many worldwide because of its vastness. Overall health consciousness, acceptance of all-rounded wellness, and internet use are some of the main reasons why it’s still considered a profitable venture today.

The yoga industry is important for humanity during these critical and tough times. The reason behind that is that yogi practices create an environment for an individual that completely transforms their life in terms of spiritual, physical, and mental well-being. As with every industry, there are economic conditions to watch out for when starting a new year on a high note, like any other enterprise.

From the viewpoint of a market researcher, this paper examines the statistics of the yoga industry, focusing on its statistics, trends and other insights.

Financial overview and grant giving statistics of North Country Center for Yoga and Health Inc.

Background: Yoga is a mind-body practice that can elicit robust health and wellbeing effects for older adults. As a result, there is increased public and academic interest into the potential benefits of yoga for older people with mild cognitive impairment (MCI) and dementia. Methods: Literature searches in five databases (CENTRAL, PubMed and EBSCOHost indexing CINAHL Plus, PsycINFO, Psychology and Behavioural Sciences Collection) were conducted from the databases' date of inception through to 4 September 2020 to identify pre-post single and multigroup studies of yoga-based interventions involving people with MCI or dementia. Effects on cognitive, mental, and physical health were evaluated, as was safety and study quality. Results: Database searches identified 1431 articles. Of these, 10 unique studies met inclusion criteria (total 421 participants). Four studies each implemented Kundalini yoga and chair yoga, while two employed Hatha yoga. Most programs ran for 12 weeks (n = 5) and compared yoga to a control group (n = 5). Most studies reported improved cognition, mood, and balance. However, these effects were marred by the high risk of bias identified in all articles. Four studies assessed safety, with one instance of dizziness reported. Conclusions: In this emerging field, these studies show that yoga may be safe and beneficial for the wellbeing of people with MCI or dementia. More high quality randomised controlled trials are needed to improve the evidence-base and overcome the limitations of existing studies.

Abstract copyright UK Data Service and data collection copyright owner.

Following a number of feasibility studies and pilot surveys carried out in 1978, the first Health and Lifestyle Survey (HALS1) (held at the UKDA under SN 2218), funded by the Health Promotion Research Trust, was carried out in 1984-1985 on a random sample of the population of England, Scotland and Wales. A follow-up survey, HALS2, was conducted in 1991-1992. Ethical approval for the initial pilot studies was obtained locally, and ethical approval for the main HALS surveys was received from the BMA Ethical Committee before the launch of each survey.

The first survey, HALS1, was designed as a unique attempt to describe the self-reported health, attitudes to health and beliefs about causes of disease in relation to measurements of health (e.g. blood pressure and lung function) and lifestyle in adults of all ages and circumstances living in their own homes in all parts of Great Britain. It also examined the distribution of, and the relationship between, physical and mental health, health-related behaviour (diet, exercise, smoking and alcohol consumption) and social circumstances. Following completion of HALS1, the respondents were 'flagged' with the Office for National Statistics (ONS) National Health Service register at Southport,so that notification of deaths and copies of death certificates of respondents were provided to the HALS1 team. (Note that at the time of HALS1 and 2, ONS was known as the Office of Population Censuses and Surveys (OPCS).)

At the time of HALS1, a repeat survey was not foreseen, so no attempt was made to retain contact with the respondents to HALS1. However, when funding again became available from the Health Promotion Research Trust, as many of the respondents to HALS1 were traced as possible, and re-surveyed for HALS2 (held under SN 3279), which was conducted in 1991-1992. The principal aims of HALS2 were to examine the changes over seven years in the health and circumstances of the surviving respondents of HALS1.

A further HALS dataset is held under SN 6339, which includes deaths and causes of death, and registrations of cancer morbidity and mortality for HALS respondents, currently up to June 2009.
Main Topics:

Demographic, working and social circumstances; self-reported health; physiological measures (anthropometry, blood pressure, respiratory function, environmental and exhaled carbon monoxide); tests of cognitive functioning (reaction time, memory and reasoning); personality and psychiatric status; dietary habits; exercise, work and leisure; alcohol consumption; smoking; beliefs about disease and health, and health related attitudes.

The data files are related to content, construct and criterion validity of yogic personal excellence inventory (YPEI) derived from the most quoted yogic classical text Patanjali Yoga Darshan. The developed YPEI is a novel and significant psychometric tool for mapping personal excellence level of an individual before prescribing personalised bio-psycho-socio-spiritual protocol for health promotion/healing/spiritual advancement. This research adds notable value in health psychology, complementary and alternative medicine and self-management. 1. Content Validity Data Excel sheet containing ten experts’ ratings on the relevance of the items of the original pool of YPEI. 2. EFA Data Excel sheet containing responses of 721 participants on 111 items retained post content validity analysis. 3. CFA Data Excel sheet containing responses of 364 participants on 71 items retained post exploratory factor analysis. 4. Criterion Validity Excel sheet containing responses of 146 participants on the final 43 items of the Yogic Personal Excellence Inventory along with Vikruti Subdosha Questionnaire, Vedic Personality Inventory, and Personal Efficacy Scale for determining convergent and discriminant validity.

Abstract copyright UK Data Service and data collection copyright owner.

The Active Lives Survey (ALS) commenced in November 2015. It replaces the Active People Survey, which ran from 2005 to 2015. The survey provides the largest sample size ever established for a sport and recreation survey and allows levels of detailed analysis previously unavailable. It identifies how participation varies from place to place, across different sports, and between different groups in the population. The survey also measures levels of activity (active, fairly active and inactive), the proportion of the adult population that volunteer in sports on a weekly basis, club membership, sports spectating and wellbeing measures such as happiness and anxiety, etc. The questionnaire was designed to enable analysis of the findings by a broad range of demographic information, such as gender, social class, ethnicity, household structure, age, and disability.

The Coronavirus (COVID-19) pandemic developed rapidly during 2020 and 2021. Fieldwork for the Active Lives survey continued throughout the pandemic, which covered periods Nov 2019-20 and Nov 2020-21. The data from Nov 2021-22 onwards covers periods without any coronavirus restrictions.

More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

Data Formats
Users should note that the Active Lives data are deposited in SPSS format. The UKDS also provides the data in Stata and tab-delimited formats, but due to the differing nature of the SPSS and Stata software packages and the structure of the Active Lives data, Stata users may experience some issues with labels or variable formats. We therefore recommend that users analyse the data in SPSS where possible.

Latest edition information

For the third edition (February 2025), the data file was resupplied, with an updated County Sports Partnership variable (CSP_2025) included.

Main Topics:

Topics covered in the Active Lives Survey include:

• Sport and physical activity
• Health behaviour
• General health and wellbeing
• Sports volunteering
• Sport spectating
• Club membership

A full list of all sports and physical activities can be found in the Active Lives Technical Summary.

In 2022, approximately 81.7 percent of non-Hispanic white adults in the United States who practiced yoga reported practicing for the purpose of restoring overall health. The share of people from all other racial or ethnic groups practicing yoga for restoring health was slightly below 80 percent.

标题Meta-Analysis Dataset: Intervention Outcomes on Psychological and Physical Health描述This dataset contains raw data collected from various randomized controlled trials (RCTs) for a meta-analysis on the effects of interventions (e.g., exercise, yoga, health education) on psychological and physical health outcomes. The dataset includes information on study characteristics, intervention details, participant demographics, and outcomes measured at pre- and post-intervention stages.数据背景The dataset compiles data from 98 unique records across multiple RCTs, spanning different countries.Outcomes include measures such as psychological scales (e.g., GHQ-28, BAI) and intervention characteristics.Data were collected and processed to support a meta-analysis exploring the impact of interventions on health outcomes.数据内容The dataset includes 45 variables:Study Information: Study ID, RCT identifier, and country.Participant Characteristics: Percentage of female participants, mean age, and comorbidities.Intervention Details: Type (e.g., aerobic exercise, yoga), class (exercise, control), duration, frequency, and intensity.Outcome Measures: Baseline and post-intervention means, standard deviations, sample sizes, standardized mean differences (SMD), and associated statistics.Risk of Bias: Assessments for sequence generation, blinding, selective reporting, and overall risk of bias.数据格式File Type: Excel (.xlsx)Number of Rows: 98Number of Columns: 45Sheet Names: Sheet1Sample Variables:studyID: Unique study identifier.outcome: Measured outcome (e.g., GHQ-28, BAI).smd: Standardized mean difference between intervention and control groups.数据用途This dataset is designed for use in:Meta-analyses to assess the effectiveness of interventions on psychological and physical health.Exploring subgroup effects based on intervention type, population characteristics, and study design.Risk of bias analyses in the included RCTs.

The purpose of this study is to determine the effect of an online yoga exercise on mental health in women diagnosed with breast or gynaecological cancer. Who is it for? You may be eligible for this study if you are a woman aged 18 years or older, with diagnosis of breast/gynaecological cancer within the last 5 years. Study details Participants in this study arm are randomly allocated (by chance) to one of two groups: 1. 60 minute online group yoga class weekly, for 6 weeks 2. 60 minute individual yoga class weekly, for 6 weeks Participants will complete a number of questionnaires at the end of the 6 week intervention period. It is hoped that this research will help to determine whether an online yoga class will improve mental health in people diagnosed with cancer. ACTRN12620001115921 This data is not shareable due to ethics conditions for clinical trials. To request information about this trial please contact the NICM director nicmdirector@westernsydney.edu.au.

AI-Generated Personalized Prenatal Yoga Program Market Outlook

According to our latest research, the AI-Generated Personalized Prenatal Yoga Program market size reached USD 312.4 million in 2024 globally, reflecting the surging demand for tailored wellness solutions for expectant mothers. The market is poised for exceptional growth, expanding at a CAGR of 23.8% from 2025 to 2033. By the end of 2033, the market is expected to attain a value of USD 2,741.8 million, driven by the integration of AI technology into prenatal wellness routines, increased digital health adoption, and rising awareness of maternal health benefits. The proliferation of cloud-based platforms and the global shift towards personalized healthcare are acting as significant accelerators for this market’s expansion.

The growth of the AI-Generated Personalized Prenatal Yoga Program market is being propelled by several critical factors. Firstly, there is a strong and growing emphasis on maternal health and wellness worldwide. Expectant mothers are increasingly seeking specialized programs that cater to their unique physiological and psychological needs during pregnancy. The integration of AI allows for the creation of highly personalized yoga routines, which adapt in real-time to the user’s trimester, fitness level, and any pregnancy-related complications. This level of customization enhances the efficacy and safety of prenatal yoga, making it a preferred option for both healthcare providers and end-users. Furthermore, the rise in disposable income and the willingness to invest in premium digital health solutions are giving an additional boost to the market.

Another significant driver is the rapid advancement in AI and machine learning algorithms, which have revolutionized the way wellness programs are designed and delivered. AI-powered prenatal yoga platforms can analyze biometric data, user feedback, and even integrate with wearable devices to monitor progress and provide instant recommendations. This data-driven approach not only ensures better health outcomes but also increases user engagement and retention. Moreover, the COVID-19 pandemic has accelerated the adoption of digital health platforms, with telehealth and remote wellness services becoming mainstream. This shift in consumer behavior has led to a surge in demand for home-based prenatal yoga programs, further fueling market growth.

The growing collaboration between healthcare providers, fitness experts, and technology companies is also playing a pivotal role in the expansion of the market. Hospitals, clinics, and maternity centers are increasingly partnering with AI wellness solution providers to offer comprehensive prenatal care packages. These partnerships ensure that expectant mothers have access to medically validated, safe, and effective yoga routines, seamlessly integrated into their overall healthcare plans. Additionally, the rise of online platforms and mobile applications has democratized access to personalized prenatal yoga, making it available to a wider demographic, including those in remote or underserved regions.

From a regional perspective, North America currently dominates the AI-Generated Personalized Prenatal Yoga Program market, accounting for over 38% of the global market share, owing to advanced healthcare infrastructure, high digital literacy, and strong consumer awareness. However, the Asia Pacific region is anticipated to witness the fastest growth, with a projected CAGR of 27.1% during the forecast period. This growth is attributed to increasing urbanization, rising healthcare expenditure, and a growing focus on maternal wellness in emerging economies such as China and India. Europe also holds a significant share, supported by robust healthcare policies and a high prevalence of digital health adoption.

Component Analysis

The Component segment of the AI-Generated Personalized Prenatal Yoga Program market is bifurcated into Software and Services, each playing a crucial role in delivering comprehensive wellness solutions. Software, which includes AI-driven mobile applications, web platforms, and integration modules, forms the backbone of the market. These platforms leverage advanced algorithms to curate personalized yoga routines, monitor user progress, and offer real-time feedback. The demand for intuitive and user-friendly software interfaces is on the rise, as expectant mothers seek seamless experiences that can be

Abstract copyright UK Data Service and data collection copyright owner.

The Scottish Health Survey (SHeS) series was established in 1995. Commissioned by the Scottish Government Health Directorates, the series provides regular information on aspects of the public's health and factors related to health which cannot be obtained from other sources. The SHeS series was designed to:

• estimate the prevalence of particular health conditions in Scotland;
• estimate the prevalence of certain risk factors associated with these health conditions and to document the pattern of related health behaviours;
• look at differences between regions and between subgroups of the population in the extent of their having these particular health conditions or risk factors, and to make comparisons with other national statistics for Scotland and England;
• monitor trends in the population's health over time;
• make a major contribution to monitoring progress towards health targets.

Each survey in the series includes a set of core questions and measurements (height and weight and, if applicable, blood pressure, waist circumference, urine and saliva samples), plus modules of questions on specific health conditions that vary from year to year. Each year the core sample has also been augmented by an additional boosted sample for children. Since 2008 NHS Health Boards have also had the opportunity to boost the number of adult interviews carried out in their area.

The Scottish Government Scottish Health Survey webpages contain further information about the series, including latest news and publications.

Main Topics:

The Scottish Health Survey 2022 (SHeS22) is the eighteenth survey in the series. There were two phases to the data. During Phase 1 for the Core sample, potential participants were contacted by letter and recruited to participate by interviewers knocking on their door, in what is termed a 'knock-to-nudge' methodology. Interviews were conducted by telephone and an online or paper self-completion questionnaire. For any interviews undertaken by telephone, no height and weight measurements or biological measures could be taken.

The Core sample Phase 2 began in May 2022. Potential respondents were again contacted by letter but were then invited to take part in an in-home interview. A telephone contingency was retained for respondents unwilling to have the interviewer enter their home due to health concerns.

Between March and July 2022, participants from the child boost sample continued to be invited to opt in via letter, with interviewer undertaken by telephone with an online/paper self-completion. Fieldwork for the child boost sample was suspended in August 2022 to allow the transition to the second phase (from September 2022) which utilised a sample linked to the Community Health Index (CHI) database. Potential respondents were again contacted by letter but were then invited to take part in an in-home interview.

Topics covered included household composition, demographics (including ethnicity, religion, educational background and economic activity), general health including caring, mental health and wellbeing, cardiovascular disease, respiratory disease and asthma, chronic pain, physical activity, eating habits, fruit and veg consumption, smoking and drinking, dental health, COVID-19 and self-reported height and weight measurements.

The study also includes combined datasets covering 2021/2022, 2018/2019/2021/2022 and 2018/2022. They contain information from the household questionnaires, main individual schedules and self-completions. The combined datasets have been provided to give a larger base for the analysis of variables. The individual year datasets should be used for the analysis of individual years, including comparisons between years.

This study aims to investigate the benefits of yoga in the reduction of depression and anxiety, and associated increases in positive emotions, well-being and mental health. The dataset relates to the clinical trial ACTRN12613000178741 Randomised controlled trial of yoga for reducing depression and anxiety, and improving well-being and mental health. This data cannot be shared publicly due to ethics approval conditions. To discuss this data, please contact the NICM Health Research Institute nicm@westernsydney.edu.au.

India AYUSH: Number of Hospitals: Yoga data was reported at 19.000 Unit in 2016. This records an increase from the previous number of 7.000 Unit for 2015. India AYUSH: Number of Hospitals: Yoga data is updated yearly, averaging 7.000 Unit from Mar 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 19.000 Unit in 2016 and a record low of 4.000 Unit in 2010. India AYUSH: Number of Hospitals: Yoga data remains active status in CEIC and is reported by Central Bureau of Health Intelligence. The data is categorized under India Premium Database’s Health Sector – Table IN.HLE001: AYUSH: Health Infrastructure: Number of Hospitals.

Abstract copyright UK Data Service and data collection copyright owner.

The Active People Survey commenced in October 2005 and was commissioned by Sports England. The primary objective of the survey was to measure levels of participation in sport and active recreation and its contribution to improving the health of the nation. Sport and active recreation included walking and cycling for recreation in addition to more traditional formal and informal spots. When measuring sports participation the survey not only recorded the type of activity but also the frequency, intensity and duration of the activity.

The Active People Survey was replaced by the Active Lives Survey in November 2015. Active Lives is a new survey with a different methodology and intended to measure different outcomes from those in the Active People Survey, however there are similarities as it was important that data could be reproduced on some of the key measures.

More general information can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.



For the third edition (October 2015), the data file was replaced with a new version to reflect changes in the Sport England core measure, the ‘1x30’ indicator. The documentation has also been updated.
Main Topics:

Topics covered in the Active People Survey include:

• Sport and physical activity
• Health behaviour
• General health and wellbeing
• Sports volunteering
• Sport spectating
• Club membership

This file contains the results of a prospective, single-center, parallel-group randomized controlled trial comparing the effectiveness of Yoga, Bhagavad Gita learning, and both interventions combined for reducing psychological distress in healthcare workers during the COVID-19 pandemic. Outcomes were measured using the GAD-7 scale at three timepoints.