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.

This statistic depicts the average male body weight of U.S. adults aged 20 years and over from 1999 to 2016. According to the data, the average male body weight for those aged 40-59 years was ***** in 1999-2000 and increased to ***** as of 2015-2016.

Data on normal weight, overweight, and obesity among adults aged 20 and over by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

In 2024, the mean average weight reported by men was 195 pounds, while the mean average weight for women was 164 pounds. This statistic shows the mean self-reported weight among U.S. adults from 1990 to 2024, by gender, in pounds.

United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.700 % in 2012. This records an increase from the previous number of 0.500 % for 2009. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.550 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.800 % in 2005 and a record low of 0.100 % in 2001. United States US: Prevalence of Wasting: 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 United States – Table US.World Bank.WDI: Health Statistics. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; 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; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

This statistic depicts the average body weight of U.S. females aged 20 years and over from 1999 to 2016, by age. According to the data, the average female body weight for those aged 40-59 years was 169.4 in 1999-2000 and increased to 176.4 as of 2015-2016.

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

United States US: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 0.400 % in 2012. This records a decrease from the previous number of 0.700 % for 2009. United States US: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 0.800 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 1.200 % in 1991 and a record low of 0.400 % in 2012. United States US: Prevalence of Underweight: Weight for Age: 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 underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on 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; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

This statistic depicts the average body weight of U.S. men aged 20 years and over from 1999 to 2016, by ethnicity. According to the data, the average male body weight for those that identified as non-Hispanic white has increased from 192.3 in 1999-2000 to 202.2 in 2015-2016.

United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 6.000 % in 2012. This records a decrease from the previous number of 7.800 % for 2009. United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 7.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 8.100 % in 2005 and a record low of 5.400 % in 1991. United States US: Prevalence of Overweight: Weight for Height: % 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 children is the percentage of children 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.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; 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

Snapshot img

Weight Management Market Size 2024-2028

The weight management market size is forecast to increase by USD 103.8 billion at a CAGR of 10.87% between 2023 and 2028.

The market is witnessing significant growth due to rising obesity rates, particularly in developed and developing economies. The increasing prevalence of sedentary lifestyles, coupled with the influence of social media platforms promoting unhealthy food choices, is fueling this trend. The fast-food industry's continuous expansion and the availability of convenient yet calorie-dense options further exacerbate the issue. Key health concerns, such as cardiovascular diseases, diabetes, hormonal problems, and certain cancers, are associated with obesity. As a result, consumers are seeking effective solutions, leading to a rise in demand for diet meals, beverages, and supplements. This trend is expected to continue, as chronic diseases linked to obesity pose a significant threat to public health. The market is also witnessing innovative marketing strategies and personalized approaches to cater to the diverse needs of consumers. Despite these opportunities, challenges remain, including regulatory hurdles and consumer skepticism towards weight loss solutions.

What will be the Size of the Market During the Forecast Period?

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The market encompasses a range of products and services aimed at helping individuals maintain a healthy body weight and improve overall wellness. Obesity, driven by sedentary lifestyles and unhealthy dietary choices, remains a significant global health concern, fueling market growth. Chronic diseases, such as diabetes, hypertension, orthopedic diseases, and cardiovascular diseases, are often associated with obesity and create a strong demand for solutions. 
Additionally, hormonal problems and childhood obesity contribute to market expansion. Preventive health measures, including healthy eating habits, daily physical activities, and services, are increasingly popular. Social media plays a role in promoting weight loss trends, from bariatric surgeries to protein powders and fitness programs. The young population and the Gen X and baby boomer generations are key demographics, as they seek to maintain a healthy weight and address age-related health concerns.

How is this Weight Management Industry segmented and which is the largest segment?

The report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Diet
  Equipment
  Services


Distribution Channel

  Offline
  Online


Geography

  North America

    US


  Asia

    China
    Japan


  Europe

    Germany
    UK


  Rest of World (ROW)

By Type Insights

The diet segment is estimated to witness significant growth during the forecast period.

The market is driven by the increasing prevalence of obesity and related health conditions, including hypertension, diabetes, and orthopedic diseases. Sedentary lifestyles and the consumption of junk food and fast-food contribute to obesity, affecting over one-third of the global population. Obesity can lead to chronic diseases, such as cardiovascular diseases and certain types of cancer. The market includes various segments, such as diet meals, beverages and supplements, exercise, surgical procedures, and services. Digitalization has led to the growth of online sales, ready-to-drink beverages, bars, gels, and powders. Lifestyle changes, including healthy eating habits and daily physical activities, are essential for maintaining a healthy body weight.

Weight management programs and innovative weight-management products, such as functional beverages, functional food, and dietary supplements, offer prevention and consultation services. The market is expected to grow due to the increasing awareness of weight-related health issues and the desire for a healthy immune system among the young population and Gen X and baby boomer generations.

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The diet segment was valued at USD 84.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Asia is estimated to contribute 36% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is currently the largest global segment, driven by increasing consumer focus on healthier lifestyles and obesity concerns. With over 35% of American adults classified as obese in 2022, according to the Centers for Disease Control and Prevention (CDC), the US market dominates th

Weight loss service providers confront intense competition in a highly saturated and concentrated business environment. Proprietary diet plans have existed for decades, with significant industry players established as far back as the early 1960s. Company performance is influenced by domestic population growth, favorable economic conditions and health factors (obesity rate, healthy eating index). Despite the favorable economic conditions following COVID-19, competition from substitutes has stolen consumers. Industry-wide revenue declined at a CAGR of 2.9% to $3.5 billion, falling 0.1% in 2024 alone. As a result, industry profit declined at a similar rate throughout 2024. COVID-19 spurred consolidation and concentration. Larger firms were able to weather the downturn, and smaller establishments exited. Additionally, COVID-19 changed consumers' attitudes toward remote communications. Even though weight loss services have been traditionally in-person, lockdowns changed attitudes. Platforms and mobile technology enabled consumers to engage with others in new novel ways, changing the need for in-person service. Going forward, the continued emphasis on digital platforms will amplify competitive advantages for the most prominent weight loss service providers, causing many more small-scale companies to exit. Yet, regions like the Southeast with a significant obese population will be better served by larger enterprises that can provide better analytics and sophisticated communication modalities. Dominant enterprises may expand, gaining new revenue streams through acquisitions to better meet out-of-market competition products and services (Fitbit, Smartphone apps, social media groups, VR chat rooms.) Nevertheless, revenue will decline at a CAGR of 0.4% to $3.4 billion through the end of 2029.

The U.S. Weight Management Market size was valued at USD 1.62 billion in 2023 and is projected to reach USD 3.37 billion by 2032, exhibiting a CAGR of 11.01 % during the forecasts period. Weight management refers to the method of retaining a wholesome body weight via a balanced food regimen, ordinary exercise, and lifestyle selections. It entails handling the calories you consume and burn to gain weight; it really is most efficient for your standard of health. Key features of weight control encompass conscious eating, in which you pay attention to component sizes and make nutritious meal alternatives, and attractive physical hobbies to burn energy and build muscle. Setting sensible desires and tracking development are also crucial because they allow you to stay inspired and targeted for your adventure towards higher fitness. The benefits of weight control are severe. It can lessen the threat of obesity-associated diseases consisting of diabetes, heart disease, and certain cancers. Maintaining a wholesome weight can enhance strength levels, improve shallowness, and decorate typical satisfactory lifestyles. Recent developments include: In February 2024, Novo Holdings announced acquisition of Catalent for USD 16.5 billion aims to secure production demand for the weight-loss drug Wegovy. This strategic move would enhance the production capacity for Wegovy, a popular weight-loss medication. , In July 2023, Eli Lilly acquired Versanis to expand its weight loss pipeline with a USD 1.9 billion deal. This strategic move aligns with Lilly's commitment to developing innovative solutions for weight management. .

Employment statistics on the Weight Loss Services industry in the US

This statistic depicts the average body weight of U.S. females aged 20 years and over from 1999 to 2016, by ethnicity. According to the data, the average female body weight for those that identified as non-Hispanic white has increased from ***** in ********* to ***** in *********.

United States US: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.000 % in 2012. This stayed constant from the previous number of 0.000 % for 2009. United States US: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.050 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.100 % in 2005 and a record low of 0.000 % in 2012. United States US: Prevalence of Severe Wasting: Weight for Height: Male: % 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 severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; 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; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Snapshot img

Smart Weight, Body Composition, And BMI Scales Market Size 2025-2029

The smart weight, body composition, and bmi scales market size is forecast to increase by USD 115.7 million, at a CAGR of 5.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the rising health consciousness among individuals. This trend is fueled by the increasing awareness of the importance of maintaining a healthy weight and body composition. Another key factor propelling market expansion is the innovative features offered by smart scales, such as pregnancy mode, which cater to specific user needs. However, the market faces challenges as well. The proliferation of alternative smart wearable devices and applications poses a threat to the market, as consumers have an abundance of choices for tracking their health metrics. Companies in this market must differentiate themselves by offering unique features and integrating seamlessly with other health and fitness platforms to attract and retain customers. To capitalize on opportunities and navigate challenges effectively, market players should focus on continuous innovation, user-centric design, and strategic partnerships.

What will be the Size of the Smart Weight, Body Composition, And BMI Scales Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe smart weight and body composition scale market continues to evolve, driven by advancements in technology and shifting consumer preferences. These devices offer more than just basic weight measurement, providing insights into body composition, muscle mass, body water, bone density, and visceral fat. The market caters to various sectors, including disease prevention, fitness tracking, and health data management. Smart scales integrate user-friendly interfaces and Bluetooth connectivity for seamless data synchronization with mobile apps, allowing for real-time health monitoring and analysis. Marketing strategies focus on personalized feedback, privacy compliance, and user experience (UX) to attract and retain customers. Differentiation comes from features like segmental body composition analysis, dietary analysis, health coaching, and wellness programs. Regulatory compliance, safety standards, and data security are essential considerations, ensuring the protection of sensitive health information. The market's growth potential is significant, with retail sales and online sales contributing to its expansion. Wellness improvement and weight management remain key applications, while pricing strategies and product differentiation influence market penetration. Manufacturing costs, distribution channels, and software updates impact the competitive landscape. As technology advances, smart scales continue to offer more comprehensive health assessments, integrating with smartphones, wearables, and cloud storage for enhanced functionality and convenience.

How is this Smart Weight, Body Composition, And BMI Scales Industry segmented?

The smart weight, body composition, and bmi scales industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Distribution ChannelOfflineOnlinePriceLess than USD100More than USD100TypeWi-FiBluetoothApplicationHouseholdGymOthersGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyRussiaAPACChinaJapanSouth KoreaRest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period.The market for smart weight, body composition, and BMI scales has seen substantial growth in recent years, with both online and offline channels experiencing significant demand. Online sales enable consumers to purchase these advanced scales from the comfort of their homes, while offline retail outlets provide an opportunity for customers to physically assess the product before making a purchase. Offline channels, including specialty health stores, department stores, hypermarkets, and fitness equipment stores, are particularly effective in reaching a broad consumer base. These retailers often have dedicated sections for health and wellness products, showcasing smart scales alongside other related items. User interface and experience, marketing strategies, data synchronization, Bluetooth connectivity, and sensor technology are integral features of these devices, catering to consumers seeking health risk assessments, muscle mass measurement, segmental body composition analysis, and health data management. Wellness programs, health coaching, body water monitoring, smartphone integration, and personalized feedback are additional features that attract consumers. Regulatory

BackgroundThere is a correlation between obesity and 25-hydroxyvitamin D (25OHD) that tends to be negative. However, this relationship varies among different races. In this study, Asian adults with and without obesity were compared in terms of their levels of 25OHD.MethodsWe carried out a cross-sectional analysis on 2664 non-Hispanic Asian adults who participated in the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. To examine the connection between obese status, body mass index (BMI), waist circumference (WC) and weight, and 25OHD, we ran multivariate linear regression models and multivariate logistic regression models.ResultsAfter adjusting for all confounding factors, obesity status shows a significant positive correlation with vitamin D deficiency (model 3: OR = 2.318, 95% CI:1.317, 4.082). This positive correlation remains significant in males (males: OR = 2.713, 95% CI: -13.398, 5.217). In all three models, a negative association was observed between obesity status and 25OHD (model 1: β = -4.535, 95% CI: -6.987, -2.083; model 2 β = -4.249, 95% CI: -6.549, -2.039; model 3 β = -1.734, 95% CI: -7.285, 3.816). After controlling for covariates, there was a significant negative correlation between WC and 25OHD when stratified by gender and obesity status in both males with and without obesity (males with obesity: β = -1.461, 95% CI: -2.485, -0.436; males without obesity: β = -0.855. 95% CI: -1.499, -0.210). In males with obesity, there was a very strong positive connection between body weight and 25OHD (β = 0.912, 95% CI: 0.227, 1.597). In addition, neither gender’s obese individuals showed a significant link between BMI and 25OHD.ConclusionThis study demonstrated a positive correlation between obesity and vitamin D deficiency and a negative correlation between obesity and 25OHD in Asian American adults. Additionally, among male obese individuals, there was a significant negative correlation between WC and 25OHD, an observation that needs to be validated in further prospective studies.

Background: Standard pediatric growth curves cannot be used to impute missing height or weight measurements in individual children. The Michaelis-Menten equation, used for characterizing substrate-enzyme saturation curves, has been shown to model growth in many organisms including nonhuman vertebrates. We investigated whether this equation could be used to interpolate missing growth data in children in the first three years of life. Methods: We developed a modified Michaelis-Menten equation and compared expected to actual growth, first in a local birth cohort (N=97) then in a large, outpatient, pediatric sample (N=14,695). Results: The modified Michaelis-Menten equation showed excellent fit for both infant weight (median RMSE: boys: 0.22kg [IQR:0.19; 90%<0.43]; girls: 0.20kg [IQR:0.17; 90%<0.39]) and height (median RMSE: boys: 0.93cm [IQR:0.53; 90%<1.0]; girls: 0.91cm [IQR:0.50;90%<1.0]). Growth data were modeled accurately with as few as four values from routine well-baby ..., Sources of data: Information on infants was ascertained from two sources: the STORK birth cohort and the STARR research registry. (1) Detailed methods for the STORK birth cohort have been described previously. In brief, a multiethnic cohort of mothers and babies was followed from the second trimester of pregnancy to the babies’ third birthday. Healthy women aged 18–42 years with a single-fetus pregnancy were enrolled. Households were visited every four months until the baby’s third birthday (nine baby visits), with the weight of the baby at each visit recorded in pounds. Medical charts were abstracted for birth weight and length. (2) STARR (starr.stanford.edu) contains electronic medical record information from all pediatric and adult patients seen at Stanford Health Care (Stanford, CA). STARR staff provided anonymized information (weight, height and age in days for each visit through age three years; sex; race/ethnicity) for all babies during the period 03/2013–01/2022 followed from bi..., The R code, as written in RStudio, are saved as MME_weights.RMD, MME_heights.RMD, MME_predictions_weights.RMD, and MME_predictions_heights.RMD. The tab-delimited and anonymized source data for weights and heights (both jittered) are posted. These can be used with the R code-but the user will need to correct input and output filepaths used in the script. The HTML version of these files is available as well, in case viewing the scripts without opening them in R is desired. R_sessionInfo.txt contains the R software version, as well as the versions of the packages included in the code. See the methods section for the description of the starting parameters for the nls() function., # Data for: A modified Michaelis-Menten equation estimates growth from birth to 3 years in healthy babies in the US

https://doi.org/10.5061/dryad.4j0zpc8jf

Description of the data and file structure

Data for this study include, per baby: sex, age in days, and, over time, weight in Kg and height in cm. Each baby had at least 5 visits. Our goal was to fit each baby’s data to a curve as described by a modified Michaelis-Menten equation, allowing interpolation of missing weight or height values. Among the subset of all infants who had 7 well-baby visits in the first year of life, and 12 visits over 3 years, we further explored the minimum number of, and which, data points were necessary for good fit. Finally, among babies with 5 time points in year 1, and 2 in both year 2 and year 3, we examined whether weight or height data early in life could predict growth in later months.

To meet anonymization guidelines, we are providing only STARR dat...

In the fall of 2024, around 53 percent of U.S. college students described their weight as “about the right weight”. Around 10 percent of respondents stated that they were slightly underweight, while 29 percent described themselves as slightly overweight. This statistic shows the percentage of college students in the United States who described themselves as underweight or overweight as of fall 2024.