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 194.3 in 1999-2000 and increased to 200.9 as of 2015-2016.
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.
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.
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.
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NA: Not applicable, for cells where the zero percent of the population fell into that category.(1) Prevalences and standard errors are calculated using the survey weights from the 5-year visit provided with the dataset. These adjust for unequal probability of selection and response. Survey and subclass estimation commands were used to account for complex sample design.(2) Overweight/obesity is defined as body mass index (BMI) z-score >2 standard deviations (SD) above age- and sex- specific WHO Childhood Growth Standard reference mean at all time points except birth, where we define overweight/obesity as weight-for-age z-score >2 SD above age- and sex- specific WHO Childhood Growth Standard reference mean.(3) To represent socioeconomic status, we used a composite index to capture multiple of the social dimensions of socioeconomic status. This composite index was provided in the ECLS-B data that incorporates information about maternal and paternal education, occupations, and household income to create a variable representing family socioeconomic status on several domains. The variable was created using principal components analysis to create a score for family socioeconomic status, which was then normalized by taking the difference between each score and the mean score and dividing by the standard deviation. If data needed for the composite socioeconomic status score were missing, they were imputed by the ECLS-B analysts [9].(4) We created a 5-category race/ethnicity variable (American Indian/Alaska Native, African American, Hispanic, Asian, white) from the mothers' report of child's race/ethnicity, which originally came 25 race/ethnic categories. To have adequate sample size in race/ethnic categories, we assigned a single race/ethnic category for children reporting more than one race, using an ordered, stepwise approach similar to previously published work using ECLS-B (3). First, any child reporting at least one of his/her race/ethnicities as American Indian/Alaska Native (AIAN) was categorized as AIAN. Next, among remaining respondents, any child reporting at least one of his/her ethnicities as African American was categorized as African American. The same procedure was followed for Hispanic, Asian, and white, in that order. This order was chosen with the goal of preserving the highest numbers of children in the American Indian/Alaska Native group and other non-white ethnic groups in order to estimate relationships within ethnic groups, which is often not feasible due to low numbers.
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 161.9 in 1999-2000 to 170.9 in 2015-2016.
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
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.
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The global healthy weight management market is projected to witness a CAGR of XX% over the forecast period (2025-2033), reaching a market value of XXX million by 2033. The market growth is driven by the rising prevalence of obesity and overweight individuals, increasing awareness about the importance of maintaining a healthy weight, and growing disposable income. Key market drivers include increasing health consciousness, the rising popularity of weight loss supplements and diet plans, and the growing demand for personalized weight management solutions. The market is segmented based on application (men, women), type (weight loss diet, physical activity and exercise, medical intervention, others), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). The weight loss diet segment is expected to dominate the market over the forecast period, owing to the increasing popularity of low-calorie and low-fat diets. The medical intervention segment is projected to witness significant growth, driven by the rising demand for surgical and non-surgical weight loss procedures. Regionally, North America is anticipated to hold a major share of the market, followed by Europe and Asia Pacific. Key market competitors include WW International, Herbalife, Planet Fitness, Nutrisystem, Kellogg, Medifast, Jenny Craig, Johnson Health Tech, Atkins, Technogym, Slimming World, Town Sports, Gold's Gym, Core Health & Fitness, and PureGym, among others.
In 2024, around 16 percent of U.S. women reported weighing 200 pounds or more. This statistic shows the average self-reported weight among U.S. women from 1990 to 2024.
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Generalized estimating equation models for frailty as a function of BMI categories over 18-years of follow up among non-frail older Mexican Americans at baseline (N = 1,648).
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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?
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BackgroundObesity increases the risk for diabetes and cardiovascular events, with a corresponding growth in medical costs. High intensity lifestyle intervention (HILI) is the cornerstone for weight management. We assessed the effectiveness of clinic-based HILI on weight loss and associated clinical outcomes by duration of program participation and comorbid conditions.MethodsThis was a retrospective cohort study of patients who enrolled in HILI weight management programs at Health Management Resources (HMR) clinics located across the U.S. Patients completed health risk assessments (HRA) and were enrolled for up to 24 months at the time of follow-up HRA. HMR programs provide weekly group coaching to achieve reduced calorie intake, increased fruit/vegetable intake, and physical activity ≥2,000 kcal/wk. A Markov model predicted avoidance of diabetes and cardiovascular events and projected cost savings due to weight loss.ResultsOf the 500 patients included in the analysis, 67% were female and mean age was 54.1 years (s.d. 11.6). The baseline weight and BMI were 243.5 lbs (range 144.0–545.0) and 38.8 kg/m2 (range 25.4–85.0), respectively. Overall, patients lost an average of 47.4 lbs (18.9% of initial body weight [IBW]); the amount of weight loss was consistent among those with diabetes/pre-diabetes (50%), high/moderate risk for dyslipidemia (60%), hypertension/pre-hypertension (86%), and severe obesity (37%). The mean IBW lost was 16.4%, 19.3%, 20.7% for ≤6 months (n = 165), 7–12 months (n = 140), 13–24 months (n = 195) of program participation, respectively. The simulation model estimated 22 diabetes and 30 cardiovascular events and $1,992,370 medical costs avoided over 5 years in the 500 patients evaluated.ConclusionPatients in the HMR clinic-based HILI program achieved substantial weight loss regardless of duration of program participation, risk profile and comorbid status. The HMR program could be an effective strategy to prevent costly diabetes and cardiovascular events, particularly in high risk patients.
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Pooled analyses among whites and East Asians have demonstrated positive associations between all-cause mortality and body mass index (BMI), but studies of African Americans have yielded less consistent results. We examined the association between BMI and all-cause mortality in a sample of African Americans pooled from seven prospective cohort studies: NIH-AARP, 1995–2009; Adventist Health Study 2, 2002–2008; Black Women's Health Study, 1995–2009; Cancer Prevention Study II, 1982–2008; Multiethnic Cohort Study, 1993–2007; Prostate, Lung, Colorectal and Ovarian Screening Trial, 1993–2009; Southern Community Cohort Study, 2002–2009. 239,526 African Americans (including 100,175 never smokers without baseline heart disease, stroke, or cancer), age 30–104 (mean 52) and 71% female, were followed up to 26.5 years (mean 11.7). Hazard ratios (HR) and 95% confidence intervals (CI) for mortality were derived from multivariate Cox proportional hazards models. Among healthy, never smokers (11,386 deaths), HRs (CI) for BMI 25–27.4, 27.5–29.9, 30–34.9, 35–39.9, 40–49.9, and 50–60 kg/m2 were 1.02 (0.92–1.12), 1.06 (0.95–1.18), 1.32 (1.18–1.47), 1.54 (1.29–1.83), 1.93 (1.46–2.56), and 1.93 (0.80–4.69), respectively among men and 1.06 (0.99–1.15), 1.15 (1.06–1.25), 1.24 (1.15–1.34), 1.58 (1.43–1.74), 1.80 (1.60–2.02), and 2.31 (1.74–3.07) respectively among women (reference category 22.5–24.9). HRs were highest among those with the highest educational attainment, longest follow-up, and for cardiovascular disease mortality. Obesity was associated with a higher risk of mortality in African Americans, similar to that observed in pooled analyses of whites and East Asians. This study provides compelling evidence to support public health efforts to prevent excess weight gain and obesity in African Americans.
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Maternal obesity has been associated with a higher risk of pregnancy-related complications in mothers and offspring; however, effective interventions have not yet been developed. We tested two common interventions, calorie restriction and pravastatin administration, during pregnancy in a rhesus macaque model with the hypothesis that these interventions would normalize metabolic dysregulation in pregnant mothers leading to an improvement in infant metabolic and cognitive/social development. A total of 19 obese mothers were assigned to either one of the two intervention groups (n=5 for calorie restriction; n=7 for pravastatin) or an obese control group (n=7) with no intervention, and maternal gestational samples and postnatal infant samples were compared with lean control mothers (n=6). Gestational calorie restriction normalized one-carbon metabolism dysregulation in obese mothers but altered energy metabolism in their offspring. Although administration of pravastatin during pregnancy tended to normalize blood cholesterol in the mothers, it potentially impacted the gut microbiome and kidney function of their offspring. In the offspring, both calorie restriction and pravastatin administration during pregnancy tended to normalize the activity of AMPK in the brain at 6 months, and while results of the Visual Paired-Comparison test, which measures infant recognition memory, were not significantly impacted by either of the interventions, gestational pravastatin administration, but not calorie restriction, tended to normalize anxiety assessed by the Human Intruder test. Although the two interventions tested in a non-human primate model led to some improvements in metabolism and/or infant brain development, negative impacts were also found in both mothers and infants. Our study emphasizes the importance of assessing gestational interventions for maternal obesity on both maternal and offspring long-term outcomes. Methods Study population Pregnant female rhesus macaques (Macaca mulatta) from an indoor breeding colony at the California National Primate Research Center with appropriate social behavior and previous successful pregnancies were enrolled. Animal handling was approved by the UC Davis Institutional Animal Care and Use Committee (IACUC) (#19299). A qualitative real-time PCR assay (Jimenez & Tarantal, 2003) was used to identify mothers with male fetuses to include in this study. Since obesity is defined as subjects with body fat above 30% for women, according to guidelines from the American Society of Bariatric Physicians, American Medical Association, and in some publications (Okorodudu et al., 2010; Shah & Braverman, 2012), a Body Condition Score (BCS) of 3.5 (32.8 % body fat on average (Summers et al., 2012)) was used as the cutoff. Therefore, mothers with BCS of 3.5 and above were categorized as obese. Obese mothers were randomly assigned to the Obese Control (OC) group, OR group (received calorie Restriction), or OP group (received Pravastatin). Mothers with BCS of 2.5 and below were assigned to the Lean Control (LC) group. The unbalanced sample size was because some mothers were removed from the analyses due to fetal deaths for unknown reasons, misidentification of a female fetus, different timing for study enrollment, or technical issues upon collecting samples. The number of animals was six for the LC, seven for the OC, five for the OR, and seven for the OP groups. Feeding, rearing, and interventions Adult female animals were provided monkey diet (High Protein Primate Diet Jumbo #5047; LabDiet, St. Louis, MO, USA) twice a day between 6–9 am and 1–3 pm. The calories were provided as 56% from carbohydrates, 30% from protein, and 13% from. Mothers in the LC, OC, and OP groups were fed nine biscuits twice a day once pregnancy was confirmed. Mothers in the OR group received a restricted supply of food once the pregnancy was detected and was maintained throughout pregnancy. The food restriction was set such that the average total weight increase would be 8% body weight from the last day before conception because the recommended total weight gain in the 2nd and 3rd trimesters is 5-9 kg for the average US woman with obesity who weighs 80 kg and is 1.6 m in height (Body Mass Index of 30), according to the Institute of Medicine 2009 guidelines (Institute of Medicine and National Research Council, 2009). During nursing of infants older than 4 months, all mothers were provided twelve biscuits. Fresh produce was provided biweekly, and water was provided ad libitum for all mothers. Mothers in the OP group were given pravastatin sodium (ApexBio Technology, Houston, TX, USA) at 20 mg/kg body weight prepared in a neutralized syrup (20 mg/mL sodium bicarbonate dissolved in a fruit-flavored syrup (Torani, San Leandro, CA, USA)) once a day from the time pregnancy was confirmed until delivery. The caloric value of the administration was made so as not to influence body weight or skew nutritional value of the diet among all treatment groups. Both interventions were applied only during gestation. Although most mothers were allowed to deliver naturally, cesarean delivery was performed for fetal indications when recommended by veterinarians (2 for each of the LC and OC groups, and 1 for the OP group). These mothers did not accept their infant following birth, so foster mothers were provided. Sample Collection and pre-processing prior to sample storage The animal caretakers and researchers who collected samples were blinded for group assignment by coding all animals by IDs. The collected biological samples were randomized by using random numbers and the group assignment was blinded during the data collection. Both mothers (during pregnancy) and infants were weighed every week. One day before sample collection, food was removed 30 min after the afternoon feeding, and biological samples were collected prior to the morning feeding. To collect biological samples, animals were anesthetized using 5–30 mg/kg ketamine or 5–8 mg/kg telazol. Both maternal and infant blood was collected using 5 mL lavender top (EDTA) tubes (Monoject, Cardinal Health, Dublin, OH, USA) and urine was collected from the bladder by ultrasound-guided transabdominal cystotomy using a 22-gauge needle and stored in a 15 mL Falcon tube. A placental sample was collected at GD150 transabdominally under ultrasound guidance using an 18-gauge needle attached to a sterile syringe. Sample processing was as previously described in (Hasegawa et al., 2022). Necropsy was conducted between 9:30 am–1:30 pm. First, infants at the age of PD180 were fasted and anesthetized with ketamine, and plasma and urine were collected. Then, euthanasia was performed with 120 mg/kg pentobarbital, followed by heparin injection, clamping of the descending aorta, and flushing with saline until clear. The kidney and brain (amygdala, hippocampus, hypothalamus, and prefrontal cortex) were collected, weighed, and immediately frozen on dry ice or liquid nitrogen to store at -80 °C until further analyses. Metabolite extraction and analysis by 1H NMR, and measurement of insulin, cholesterol, cytokine, and cortisol Detailed procedures were previously described (Hasegawa et al., 2022). Briefly, plasma and urine samples were filtered using Amicon Ultra Centrifugal Filter (3k molecular weight cutoff; Millipore, Billerica, MA, USA), and the supernatant was used for analysis. For both the placental and brain tissue samples, polar metabolites were extracted using our previously reported method (Hasegawa et al., 2020). A total of 180 μL of sample (tissue extract or filtered urine or serum) was transferred to 3 mm Bruker NMR tubes (Bruker, Billerica, MA, USA). Within 24 h of sample preparation, all 1H NMR spectra were acquired using the noesypr1d pulse sequence on a Bruker Avance 600 MHz NMR spectrometer (Bruker, Billerica, MA, USA) (O’Sullivan et al., 2013). Chenomx NMRSuite (version 8.1, Chenomx Inc., Edmonton, Canada) (Weljie et al., 2006) was used to identify and quantify metabolites. Heparin-treated plasma samples were used to measure insulin and 17 cytokines and chemokines (hs-CRP, Granulocyte-macrophage colony-stimulating factor, IFN-γ, TNF-α, transforming growth factor-α, monocyte chemoattractant protein-1, macrophage inflammatory protein-1β (MIP-1β), and interleukin (IL)-1β, IL-1 receptor antagonist (IL-1ra), IL-2, IL-6, IL-8, IL-10, IL-12/23 p40, IL-13, IL-15, and IL-17A) using a multiplex Bead-Based Kit (Millipore) on a Bio-Plex 100 (Bio-rad, Hercules, CA) following the manufacturer’s protocol. For each sample, a minimum of fifty beads per region were collected and analyzed with Bio-Plex Manager software using a 5-point standard curve with immune marker quantities extrapolated based on the standard curve. Two samples were removed for analysis of TNF-α and IL-1ra as technical errors (both from Animal ID 1132103: 895.2 and 1115.1 pg/mL at gestational days (GD) 90; 510.8 and 617.2 pg/mL at GD120, respectively). Plasma cholesterol level was measured by Clinical Laboratory Diagnostic Product (OSR6116) on Beckman Coulter AU480 (Beckman Coulter, Brea, CA). Infant plasma cortisol level at PD110 was assessed as previously described (Vandeleest et al., 2019; Walker et al., 2018). In short, infants were transferred to a test room at 9 am and blood was drawn at 11 am (Sample 1), followed by another blood collection at 4 pm (Sample 2) and intramuscular injection of 500 μg/kg dexamethasone (Dex) (American Regent Laboratories, Inc., Shirley, NY). On the next day, a blood sample was collected at 8:30 am (Sample 3), and then 2.5 IU of adrenocorticotropic hormone (Amphastar Pharmaceuticals, Inc., Rancho Cucamonga, CA) was injected intramuscularly. The last blood was collected (Sample 4) 30 min after adrenocorticotropic hormone injection. The collected blood samples were processed and stored, and cortisol concentration was assessed by a chemiluminescent assay on the ADVIA Centaur CP platform
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 and compared this interpolation to several common interpolation methods and pediatric growth models. Methods: We developed a modified Michaelis-Menten equation and compared expected to actual growth, first in a local birth cohort (N=97) and 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...., 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..., Example R code for fitting weight and/or height data with the MME equation is shown in the MME_growth_fitting.RMD file. This file was written to fit the supplied STARR dataset. However, it can be adapted to alternative data. The HTML version of this file is available as well, in case viewing the script without opening it 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 of the manuscript 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
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 data, including sex, age and jittered weight and height (for STORK data, STARR race/e...
In 2024, around 40 percent of U.S. men reported weighing 200 pounds or more. This statistic shows the average self-reported weight among U.S. men from 1990 to 2024.
Meal Replacement Market Size 2024-2028
The meal replacement market size is forecast to increase by USD 5.79 billion at a CAGR of 6.94% between 2023 and 2028.
The market is experiencing significant growth due to the increasing health consciousness among consumers. The market is driven by the health benefits associated with meal replacement products, including weight management, improved nutrition, and time savings. A notable trend In the market is the growing popularity of protein bars and shakes, which offer convenience and portability. However, a challenge facing the market is the lack of awareness about meal replacement products and their benefits. Consumers may be unfamiliar with the concept or unsure of how to incorporate these products into their diet. To address this, companies are investing in marketing efforts and educational campaigns to increase awareness and understanding of meal replacement products.
Overall, the market is expected to continue growing as consumers seek convenient and nutritious options to support their health goals.
What will be the Size of the Meal Replacement Market During the Forecast Period?
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The market In the US has witnessed significant growth due to the rising prevalence of lifestyle-related ailments such as obesity, diabetes, and cardiovascular diseases. According to health awareness campaigns and public health initiatives, maintaining a healthy lifestyle through weight management and healthy eating habits is crucial for preventing these chronic diseases. Meal replacement products offer nutritionally balanced options for individuals with busy schedules or those seeking to improve their health. These offerings come in various forms, including powders and ready-to-drink options, catering to diverse consumer preferences. Plant-based meal replacements have gained popularity due to their alignment with fitness and wellness trends.
Product formulations focus on delivering essential nutrients like protein, fiber, vitamins, and minerals, ensuring a healthy diet while minimizing the intake of unhealthy food. Social media influencers and health-conscious consumers have contributed to the market's growth by promoting meal replacements as convenient solutions for managing health issues and improving overall well-being. The market is expected to continue expanding as consumers increasingly prioritize their health and seek innovative ways to maintain a balanced diet and manage chronic diseases.
How is this Meal Replacement Industry segmented and which is the largest segment?
The meal replacement industry research 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.
Product
Powdered products
Edible bars
Ready-to-drink
Others
Distribution Channel
Offline
Online
Geography
North America
Canada
US
Europe
Germany
UK
APAC
China
South America
Middle East and Africa
By Product Insights
The powdered products segment is estimated to witness significant growth during the forecast period.
The market encompasses various product forms, including powders and ready-to-drink options. This market caters to consumers seeking nutritionally balanced alternatives for managing weight and addressing lifestyle-related health issues, such as obesity, diabetes, and cardiovascular diseases. Consumers, particularly those with active lifestyles, are increasingly turning to meal replacements to maintain healthy eating habits and support fitness and wellness goals. Powdered meal replacements, which dominated the market in 2023, are formulated with proteins (casein, pea, soy, whey, and egg), minerals, vitamins, fibers, and other essential nutrients. These plant-based options cater to various dietary preferences, including vegan and vegetarian diets. The market is expanding globally, with significant growth in Asian countries like India, Hong Kong, China, and South Korea.
Online shopping channels, including e-commerce and food technology platforms, are increasingly popular for purchasing meal replacements. Consumers prioritize convenience and health consciousness In their choices, driving the market's growth.
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The Powdered products segment was valued at USD 6.25 billion in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 37% 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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According to Cognitive Market Research, the global Slimming Weight Management market size is USD 145958.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 10.60% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 58383.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 43787.55 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 33570.46 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 7297.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2919.17 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2024 to 2031.
The Meals held the highest Slimming Weight Management market revenue share in 2024.
Market Dynamics of Slimming Weight Management Market
Key Drivers for Slimming Weight Management Market
Growing Obesity Rates to Increase the Demand Globally
Globally, weight problem rates are progressively increasing, raising worries about associated health risks, which include diabetes, cardiovascular sickness, and high blood pressure. This surge in obesity has heightened cognizance around the want for powerful weight control answers. Consequently, there may be a developing demand for services and products that aid weight loss and wholesome living. This trend is riding the market ahead, with a focus on modern nutritional supplements, health packages, and lifestyle adjustments aimed toward preventing weight problems. The upward push in obesity fees underscores the significance of preventative measures and personalized techniques for weight control, fueling growth in industries devoted to health and health.
Focus on Preventative Healthcare to Propel Market Growth
The shift toward preventative healthcare is notably influencing human beings's techniques for weight management. With a more emphasis on stopping health problems before they get up, individuals are an increasing number of adopting weight control practices as a part of their ordinary. This fashion involves using various weight control services and products designed to hold a healthy weight and mitigate destiny health dangers by focusing on proactive measures. Human being's purpose is to keep away from complications consisting as heart sickness, diabetes, and high blood pressure. The growing interest in preventative healthcare is using demand for revolutionary answers that assist lengthy-time period well being and disease prevention, highlighting the importance of early intervention and lifestyle modifications in maintaining typical health.
Restraint Factor for the Slimming Weight Management Market
Misinformation and Unrealistic Expectations to Limit the Sales
The abundance of conflicting facts approximately weight loss and the promotion of unrealistic expectations by way of positive products can create massive confusion and obstruct lengthy-term success. Many weight loss answers market its rapid effects or miracle therapies, which could mislead people and undermine their efforts. This misinformation now needs to be better for human beings to discern effective techniques; however additionally contributes to frustration and capability discouragement. As a result, achieving sustainable weight control turns tough, as individuals can also adopt useless or unhealthy practices. Addressing this problem calls for clear, evidence-based total steering and practical purpose-placing to foster knowledgeable decisions and promote lasting, healthful weight control.
Impact of Covid-19 on the Slimming Weight Management Market
The COVID-19 pandemic substantially impacted the slimming weight control market, leading to demanding situations and opportunities. Lockdowns and social distancing measures disrupted entry to gyms and weight management offerings, inflicting a decline in participation and engagement. Additionally, expanded strain and way-of-life adjustments contributed to weight be...
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.