The prevalence of obesity in the United States has risen gradually over the past decade. As of 2023, around ** percent of the population aged 18 years and older was obese. Obesity is a growing problem in many parts of the world, but is particularly troubling in the United States. Obesity in the United States The states with the highest prevalence of obesity are West Virginia, Mississippi, and Arkansas. As of 2023, a shocking ** percent of the population in West Virginia were obese. The percentage of adults aged 65 years and older who are obese has grown in recent years, compounding health issues that develop with age. Health impacts of obesity Obesity is linked to several negative health impacts including cardiovascular disease, diabetes, and certain types of cancer. Unsurprisingly, the prevalence of diagnosed diabetes has increased in the United States over the years. As of 2022, around *** percent of the population had been diagnosed with diabetes. Some of the most common types of cancers caused by obesity include breast cancer in postmenopausal women, colon and rectum cancer, and corpus and uterus cancer.

West Virginia, Mississippi, and Arkansas are the U.S. states with the highest percentage of their population who are obese. The states with the lowest percentage of their population who are obese include Colorado, Hawaii, and Massachusetts. Obesity in the United States Obesity is a growing problem in many countries around the world, but the United States has the highest rate of obesity among all OECD countries. The prevalence of obesity in the United States has risen steadily over the previous two decades, with no signs of declining. Obesity in the U.S. is more common among women than men, and overweight and obesity rates are higher among African Americans than any other race or ethnicity. Causes and health impacts Obesity is most commonly the result of a combination of poor diet, overeating, physical inactivity, and a genetic susceptibility. Obesity is associated with various negative health impacts, including an increased risk of cardiovascular diseases, certain types of cancer, and diabetes type 2. As of 2022, around 8.4 percent of the U.S. population had been diagnosed with diabetes. Diabetes is currently the eighth leading cause of death in the United States.

United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 6.900 % in 2012. This records an increase from the previous number of 6.400 % for 2009. United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 6.900 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 8.700 % in 2005 and a record low of 5.100 % in 1991. United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues

Between 2015 and 2018, obesity rates in U.S. children and adolescents stood at 19.3 and 20.9 percent, respectively. This is a noteworthy increase compared to the percentages seen between 1988 and 1994.

U.S. high school obesity rates

Roughly 18 percent of black, as well as Hispanic students in the United States, were obese between 2016 and 2017. Male obesity rates were noticeably higher than those of female students for each of the ethnicities during the measured period. For example, about 22 percent of male Hispanic high school students were obese, compared to 14 percent of female students. The American states with the highest number of obese high school students in 2019 included Mississippi, West Virginia, and Arkansas, respectively. Mississippi had a high school student obesity rate of over 23 percent that year.

Physically inactive Americans

Adults from Mississippi and Arkansas were also reported to be some of the least physically active people in the United States in 2018. When surveyed, over 30 percent of adults from Kentucky and Arkansas had not exercised within the preceding 30 days. The national physical inactivity average stood at approximately 26 percent that year.

Surveys in which U.S. adults report their current weight have shown that the share of those reporting they weigh 200 pounds or more has increased over the past few decades. In 2024, around 28 percent of respondents reported their weight as 200 pounds or more, compared to 15 percent in 1990. However, the same surveys show the share of respondents who report they are overweight has decreased compared to figures from 1990. What percentage of the U.S. population is obese? Obesity is an increasing problem in the United States that is expected to become worse in the coming decades. As of 2023, around one third of adults in the United States were considered obese. Obesity is slightly more prevalent among women in the United States, and rates of obesity differ greatly by region and state. For example, in West Virginia, around 41 percent of adults are obese, compared to 25 percent in Colorado. However, although Colorado is the state with the lowest prevalence of obesity among adults, a quarter of the adult population being obese is still shockingly high. The health impacts of being obese Obesity increases the risk of developing a number of health conditions including high blood pressure, heart disease, type 2 diabetes, and certain types of cancer. It is no coincidence that the states with the highest rates of hypertension are also among the states with the highest prevalence of obesity. West Virginia currently has the third highest rate of hypertension in the U.S. with 45 percent of adults with the condition. It is also no coincidence that as rates of obesity in the United States have increased so have rates of diabetes. As of 2022, around 8.4 percent of adults in the United States had been diagnosed with diabetes, compared to six percent in the year 2000. Obesity can be prevented through a healthy diet and regular exercise, which also increases overall health and longevity.

Proportion of children aged 4 to 5 years classified as living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP with a BMI classified as living with obesity or severe obesity (BMI on or above 95th centile of the UK90 growth reference).

Definition of denominator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

Proportion of children aged 10 to 11 years classified as overweight or living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP with a BMI classified as overweight or living with obesity, including severe obesity (BMI on or above the 85th centile of the UK90 growth reference).

Definition of denominator The number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

These data are from the 2013 California Dietary Practices Surveys (CDPS), 2012 California Teen Eating, Exercise and Nutrition Survey (CalTEENS), and 2013 California Children’s Healthy Eating and Exercise Practices Surveys (CalCHEEPS). These surveys have been discontinued. Adults, adolescents, and children (with parental assistance) were asked for their current height and weight, from which, body mass index (BMI) was calculated. For adults, a BMI of 30.0 and above is considered obese. For adolescents and children, obesity is defined as having a BMI at or above the 95th percentile, according to CDC growth charts.

The California Dietary Practices Surveys (CDPS), the California Teen Eating, Exercise and Nutrition Survey (CalTEENS), and the California Children’s Healthy Eating and Exercise Practices Surveys (CalCHEEPS) (now discontinued) were the most extensive dietary and physical activity assessments of adults 18 years and older, adolescents 12 to 17, and children 6 to 11, respectively, in the state of California. CDPS and CalCHEEPS were administered biennially in odd years up through 2013 and CalTEENS was administered biennially in even years through 2014. The surveys were designed to monitor dietary trends, especially fruit and vegetable consumption, among Californias for evaluating their progress toward meeting the Dietary Guidelines for Americans and the Healthy People 2020 Objectives. All three surveys were conducted via telephone. Adult and adolescent data were collected using a list of participating CalFresh households and random digit dial, and child data were collected using only the list of CalFresh households. Older children (9-11) were the primary respondents with some parental assistance. For younger children (6-8), the primary respondent was parents. Data were oversampled for low-income and African American to provide greater sensitivity for analyzing trends among the target population. Wording of the question used for these analyses varied by survey (age group). The questions were worded are as follows: Adult:1) How tall are you without shoes?2) How much do you weigh?Adolescent:1) About how much do you weigh without shoes?2) About how tall are you without shoes? Child:1) How tall is [child's name] now without shoes on?2) How much does [child's name] weigh now without shoes on?

Time series data for the statistic Prevalence of overweight, male (% of male adults) and country American Samoa. Indicator Definition:Prevalence of overweight male adults is the percentage of males ages 18 and over whose Body Mass Index (BMI) is more than 25 kg/m2. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.The indicator "Prevalence of overweight, male (% of male adults)" stands at 89.95 as of 12/31/2022. Regarding the One-Year-Change of the series, the current value is equal to the value the year prior.The 1 year change in percent is 0.0.The 3 year change in percent is 0.0111.The 5 year change in percent is 0.0111.The 10 year change in percent is 0.0445.The Serie's long term average value is 89.35. It's latest available value, on 12/31/2022, is 0.672 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2022, is +3.89%.The Serie's change in percent from it's maximum value, on 12/31/2021, to it's latest available value, on 12/31/2022, is 0.0%.

In 2023, it was estimated that around 37 percent of adults with an annual income of less than 15,000 U.S. dollars were obese, compared to 29 percent of those with an annual income of 75,000 dollars or more. This statistic shows the percentage of U.S. adults who were obese in 2023, by income.

Overweight Patient Tilt Table Market Outlook

The global overweight patient tilt table market size is projected to grow from USD 500 million in 2023 to USD 750 million by 2032, registering a compound annual growth rate (CAGR) of 4.5% during the forecast period. The primary growth factors for this market include the increasing prevalence of obesity and related health complications, advancements in medical technology, and rising awareness about the benefits of tilt table therapy for overweight patients.

One of the significant growth drivers for the overweight patient tilt table market is the rising incidence of obesity worldwide. The World Health Organization (WHO) estimates that obesity has nearly tripled since 1975, with over 650 million adults classified as obese in 2016. This increase in obesity rates has led to a higher demand for specialized medical equipment, such as tilt tables, to assist in the treatment and rehabilitation of overweight patients. Additionally, the growing awareness of the health risks associated with obesity, including cardiovascular diseases, diabetes, and musculoskeletal disorders, has further fueled the demand for tilt tables.

Advancements in medical technology have also played a crucial role in driving the growth of the overweight patient tilt table market. Innovations in tilt table design and functionality, such as motorized tilt tables with enhanced safety features and adjustable settings, have made these devices more effective and user-friendly. These advancements have improved patient outcomes and increased the adoption of tilt tables in various healthcare settings. Furthermore, the integration of digital monitoring systems and data analytics in modern tilt tables has enabled healthcare providers to track patient progress and tailor treatment plans more effectively.

The increasing focus on rehabilitation and physiotherapy for overweight patients is another key factor contributing to the market's growth. Tilt table therapy has been proven to offer numerous benefits for obese patients, including improved circulation, enhanced muscle strength, and better postural control. As a result, there has been a growing recognition of the importance of incorporating tilt table therapy into comprehensive treatment plans for overweight patients. This has led to a higher demand for tilt tables in rehabilitation centers, hospitals, and clinics worldwide.

In addition to tilt tables, the use of specialized equipment like the Overweight Patient Wheelchair has become increasingly important in the healthcare sector. These wheelchairs are designed to accommodate the unique needs of overweight patients, offering enhanced support and comfort. They are equipped with features such as reinforced frames, wider seats, and adjustable components to ensure safety and ease of mobility for patients with higher body weights. As the prevalence of obesity continues to rise, the demand for such specialized wheelchairs is expected to grow, providing essential assistance in both clinical and home settings. The integration of these wheelchairs into patient care plans not only improves mobility but also enhances the overall quality of life for overweight individuals.

Regionally, North America holds the largest share of the overweight patient tilt table market, driven by the high prevalence of obesity in the region and the presence of advanced healthcare infrastructure. The United States, in particular, has one of the highest obesity rates globally, with the Centers for Disease Control and Prevention (CDC) reporting that nearly 42.4% of American adults were obese in 2017-2018. This has resulted in a significant demand for specialized medical equipment, including tilt tables, to cater to the needs of overweight patients. Additionally, the availability of government funding and supportive healthcare policies in North America further supports market growth.

Product Type Analysis

In the overweight patient tilt table market, product type is a crucial segment that includes manual tilt tables and motorized tilt tables. Manual tilt tables are typically operated using a lever or crank mechanism, allowing healthcare providers to control the table's tilt angle manually. These tables are relatively cost-effective and do not require an external power source, making them suitable for use in various healthcare settings, including clinics and smaller hospitals. However, manual tilt tables may require more physical effort to operate and may not offer the sam

Obese Patient Trolley Market Outlook

The global market size for obese patient trolleys is projected to grow significantly from $350 million in 2023 to approximately $600 million by 2032, exhibiting a robust CAGR of 6.3%. The increasing prevalence of obesity, coupled with the rising demand for specialized medical equipment to ensure the safe transport of obese patients, is driving this market's growth. Innovations in trolley design and materials, coupled with increased healthcare spending, are also contributing factors to this upward trend.

The significant growth in the obese patient trolley market can be attributed to a myriad of factors. Primarily, the rising incidence of obesity worldwide has necessitated the need for specialized medical equipment. According to the World Health Organization (WHO), obesity has nearly tripled since 1975, with over 650 million adults classified as obese in 2016. This alarming trend has led to an increased demand for obese patient trolleys, which are specifically designed to safely transport overweight and obese patients, ensuring their comfort and reducing the risk of injury to both the patient and healthcare providers. The growing awareness and emphasis on patient safety and mobility have further accentuated the need for these specialized trolleys.

Technological advancements and innovations in the design of obese patient trolleys are another critical growth factor. Modern trolleys are equipped with features such as electric and hydraulic adjustment systems, advanced braking mechanisms, and enhanced weight-bearing capacities. These innovations not only improve the safety and comfort of obese patients but also enhance the efficiency and ease of use for healthcare providers. Additionally, the integration of lightweight yet durable materials, such as high-grade aluminum and stainless steel, has resulted in trolleys that are both robust and easy to maneuver. These advancements have led to increased adoption of obese patient trolleys across various healthcare settings, further driving market growth.

Moreover, the increased healthcare expenditure and the growing number of healthcare facilities globally are contributing to the market's expansion. Governments and private healthcare providers are investing heavily in modernizing their medical infrastructure to cater to the needs of an increasingly obese population. This includes the procurement of specialized medical equipment such as obese patient trolleys. Additionally, the rise in the number of bariatric surgeries and other medical procedures that require the safe transport of obese patients is further fueling the demand for these trolleys. The growing focus on enhancing patient care and safety standards is expected to continue driving market growth in the coming years.

Analyzing the regional outlook, North America is expected to remain the dominant market for obese patient trolleys, largely due to the high prevalence of obesity and the advanced healthcare infrastructure in the region. The United States, in particular, has one of the highest obesity rates globally, which has led to a significant demand for specialized medical equipment. Europe is also anticipated to witness substantial growth, driven by the increasing focus on patient safety and the rising investments in healthcare infrastructure. The Asia Pacific region is projected to exhibit the highest CAGR, primarily due to the growing healthcare expenditure, the rising incidence of obesity, and the increasing adoption of advanced medical technologies in countries such as China and India.

In the context of specialized medical equipment, the Overweight Patient Tilt Table emerges as a crucial innovation for healthcare providers. This equipment is designed to safely and effectively manage the positioning and movement of overweight patients, particularly in scenarios where precise positioning is critical, such as during diagnostic procedures or rehabilitation sessions. The tilt table offers adjustable angles and secure support, ensuring patient comfort and safety while minimizing the risk of injury to both patients and healthcare staff. As the prevalence of obesity continues to rise, the demand for such specialized equipment is expected to grow, highlighting the importance of integrating advanced solutions like the Overweight Patient Tilt Table into healthcare settings.

Product Type Analysis

The obese patient trolley market can be segmented into three primary product types: manual trolleys, electric

The global market for overweight-patient tilt tables is experiencing robust growth, driven by increasing prevalence of obesity and related cardiovascular diseases, coupled with a rising demand for advanced medical equipment in healthcare settings. The market size in 2025 is estimated at $150 million, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. Technological advancements leading to the development of more robust and versatile tilt tables designed to accommodate higher weight capacities are significantly impacting market expansion. The increasing adoption of tilt tables in hospitals and clinics for the diagnosis and treatment of orthostatic intolerance and other cardiovascular conditions further boosts demand. Furthermore, the rising preference for home healthcare is contributing to the growth of the home-use segment. However, high initial investment costs associated with purchasing these specialized tables and the limited availability of skilled professionals trained to operate them represent key restraints to market growth. The segmental analysis reveals a strong preference for electric tilt tables over manual ones due to their ease of use and precise control. Geographically, North America and Europe currently dominate the market, primarily owing to well-established healthcare infrastructure and high adoption rates of advanced medical technologies. However, emerging economies in Asia-Pacific, particularly China and India, are witnessing significant growth potential given the expanding healthcare sector and rising prevalence of obesity. The forecast period (2025-2033) anticipates continued market expansion, driven by technological innovation and increasing awareness of the benefits of tilt table therapy for managing conditions related to obesity and cardiovascular health. Competition among established and emerging players is expected to intensify, leading to innovation in product design, improved functionalities, and competitive pricing strategies.

Bariatric Tilt Table Market Outlook

The global bariatric tilt table market size was estimated to be USD 200 million in 2023 and is projected to reach USD 400 million by 2032, exhibiting a CAGR of 8.5% during the forecast period. This growth is driven by the increasing prevalence of obesity, advancements in medical technology, and rising awareness regarding the benefits of bariatric treatment.

One of the primary growth factors for the bariatric tilt table market is the global rise in obesity rates. Obesity is a significant health concern that leads to various comorbidities such as diabetes, cardiovascular diseases, and musculoskeletal disorders. With the World Health Organization (WHO) reporting that obesity has almost tripled since 1975, the demand for specialized medical equipment like bariatric tilt tables is anticipated to surge. These tables are essential in safely managing and treating obese patients, thus underscoring their importance in modern healthcare settings.

The integration of advanced technology into bariatric tilt tables is another critical driver for market growth. Modern bariatric tilt tables are equipped with features such as electric tilting mechanisms, adjustable heights, and enhanced weight-bearing capacities. These technological advancements improve patient safety and comfort while providing healthcare professionals with more efficient tools for patient management. The continuous focus on R&D by medical equipment manufacturers to innovate and enhance product efficacy is expected to fuel market expansion.

Additionally, increasing awareness among healthcare providers and patients about the effectiveness of bariatric treatments is contributing to market growth. Educational campaigns and seminars aimed at highlighting the benefits of bariatric care have led to increased adoption of specialized equipment. Furthermore, insurance companies are increasingly covering bariatric treatments, including the use of bariatric tilt tables, making them more accessible to a broader patient base. This increased accessibility is expected to drive market growth significantly over the forecast period.

The role of specialized equipment such as the Obese Patient Trolley is becoming increasingly significant in healthcare settings. These trolleys are designed to safely transport obese patients within medical facilities, ensuring their comfort and dignity. With obesity rates on the rise, hospitals and clinics are investing in such equipment to enhance patient care and streamline operations. The Obese Patient Trolley is equipped with features like reinforced frames and wider platforms to accommodate larger body sizes, which is crucial in preventing injuries to both patients and healthcare staff. As healthcare providers strive to offer more inclusive care, the demand for these trolleys is expected to grow, complementing the use of bariatric tilt tables in comprehensive obesity management.

Regionally, North America holds a significant share of the bariatric tilt table market, driven by high obesity rates and advanced healthcare infrastructure. Europe also represents a substantial market due to similar factors combined with supportive government initiatives. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate due to rising healthcare investments, increasing obesity rates, and improving medical infrastructure. Latin America and the Middle East & Africa regions are also anticipated to experience steady growth, driven by improving healthcare facilities and rising health awareness.

Product Type Analysis

The bariatric tilt table market by product type is segmented into manual bariatric tilt tables and electric bariatric tilt tables. The manual bariatric tilt tables are often preferred in settings where budget constraints are significant. These tables are mechanically operated and do not require electricity, making them suitable for use in smaller clinics and rehabilitation centers. They are also valued for their robustness and durability, which is critical in environments with high patient turnover. Despite their lower cost, manual tilt tables provide essential functions such as patient support and positioning, making them a staple in many healthcare facilities.

On the other hand, electric bariatric tilt tables are gaining popularity due to their advanced features and ease of use. These tables are designed with electric motors that allow for smooth and precise adjustments, enhancin

United States - Average Price: Milk, Fresh, Low-Fat, Reduced Fat, Skim (Cost per Gallon/3.8 Liters) in U.S. City Average was 3.77700 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Average Price: Milk, Fresh, Low-Fat, Reduced Fat, Skim (Cost per Gallon/3.8 Liters) in U.S. City Average reached a record high of 3.88800 in August of 2022 and a record low of 2.56700 in July of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Price: Milk, Fresh, Low-Fat, Reduced Fat, Skim (Cost per Gallon/3.8 Liters) in U.S. City Average - last updated from the United States Federal Reserve on July of 2025.

This dataset is from the 2013 California Dietary Practices Survey of Adults. This survey has been discontinued. Adults were asked a series of eight questions about their physical activity practices in the last month. These questions were borrowed from the Behavior Risk Factor Surveillance System. Data displayed in this table represent California adults who met the aerobic recommendation for physical activity, as defined by the 2008 U.S. Department of Health and Human Services Physical Activity Guidelines for Americans and Objectives 2.1 and 2.2 of Healthy People 2020.

The California Dietary Practices Surveys (CDPS) (now discontinued) was the most extensive dietary and physical activity assessment of adults 18 years and older in the state of California. CDPS was designed in 1989 and was administered biennially in odd years up through 2013. The CDPS was designed to monitor dietary trends, especially fruit and vegetable consumption, among California adults for evaluating their progress toward meeting the 2010 Dietary Guidelines for Americans and the Healthy People 2020 Objectives. For the data in this table, adults were asked a series of eight questions about their physical activity practices in the last month. Questions included: 1) During the past month, other than your regular job, did you participate in any physical activities or exercise such as running, calisthenics, golf, gardening or walking for exercise? 2) What type of physical activity or exercise did you spend the most time doing during the past month? 3) How many times per week or per month did you take part n this activity during the past month? 4) And when you took part in this activity, for how many minutes or hours did you usually keep at it? 5) During the past month, how many times per week or per month did you do physical activities or exercises to strengthen your muscles? Questions 2, 3, and 4 were repeated to collect a second activity. Data were collected using a list of participating CalFresh households and random digit dial, approximately 1,400-1,500 adults (ages 18 and over) were interviewed via phone survey between the months of June and October. Demographic data included gender, age, ethnicity, education level, income, physical activity level, overweight status, and food stamp eligibility status. Data were oversampled for low-income adults to provide greater sensitivity for analyzing trends among our target population.

BackgroundDiet plays a crucial role in sustaining a healthy body, and microbes have attracted significant scholarly interest in recent years as an essential component of diet. This study aims to explore the association between dietary live microbe intake and the incidence of Parkinson’s Disease (PD) among adults over 40 years old.MethodsA total of 26,033 subjects in NHANES 1999–2018 were included in this study, comprising 314 patients with PD, which were divided into three groups based on their intake of foods with different levels of microbial content: high, medium, and low. The assessment on subjects’ dietary live microbe intake was conducted through the self-reported questionnaire.ResultsThe distribution of subjects based on dietary live microbe intake was as follows: 34.5% had a low intake, 45.4% had a medium intake, and 20.1% had a high intake. A multivariable logistic regression analysis revealed that subjects with high (OR = 0.52, 95% CI: 0.37–0.74) and medium (OR = 0.73, 95% CI: 0.57–0.93) dietary live microbe intake exhibits a reduced prevalence of PD compared to those with low intake. Restricted cubic spline (RCS) analysis indicated a significant linear association between dietary live microbe intake and the prevalence of PD. Furthermore, stratified analyses demonstrate that the association among research variables was more pronounced in subjects without obesity.ConclusionThis study demonstrates an inverse linear association between dietary live microbe intake and the prevalence of PD.

In 2023, Black adults had the highest obesity rates of any race or ethnicity in the United States, followed by American Indians/Alaska Natives and Hispanics. As of that time, around ** percent of all Black adults were obese. Asians/Pacific Islanders had by far the lowest obesity rates. Obesity in the United States Obesity is a present and growing problem in the United States. An astonishing ** percent of the adult population in the U.S. is now considered obese. Obesity rates can vary substantially by state, with around ** percent of the adult population in West Virginia reportedly obese, compared to ** percent of adults in Colorado. The states with the highest rates of obesity include West Virginia, Mississippi, and Arkansas. Diabetes Being overweight and obese can lead to a number of health problems, including heart disease, cancer, and diabetes. Being overweight or obese is one of the most common causes of type 2 diabetes, a condition in which the body does not use insulin properly, causing blood sugar levels to rise. It is estimated that just over ***** percent of adults in the U.S. have been diagnosed with diabetes. Diabetes is now the seventh leading cause of death in the United States, accounting for ***** percent of all deaths.

This study used NHANES data from 2007 to 2018 to examine the relationship between frailty and the Body Roundness Index (BRI) in U.S. people 60 years of age and older. BRI = 364.2–365.5 × sqrt [1–(wc/2π)2/(Height/2)2]. The degree of frailty was assessed by the frailty index (≥ 0.25). The relationship between frailty and BRI was examined using weighted multivariate logistic regression. To account for potential non-linear patterns, generalized additive modeling (GAM) was utilized, and the ability of BRI to predict frailty was assessed using receiver operating characteristic (ROC) analysis. Results showed that BRI was significantly and positively associated with prevalence of frailty, with a 34% increase in prevalence of frailty per unit increase in a fully adjusted model (OR: 1.34, 95% CI: 1.28, 1.40; p