18 datasets found
  1. Average adult body weight in the U.S. from 1999 to 2016

    • statista.com
    Updated Jan 14, 2019
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    Statista (2019). Average adult body weight in the U.S. from 1999 to 2016 [Dataset]. https://www.statista.com/statistics/955031/adult-body-weight-average-us/
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2016
    Area covered
    United States
    Description

    This statistic depicts the average body weight of U.S. adults aged 20 years and over from 1999 to 2016. According to the data, the average male body weight has increased from 189.4 in 1999-2000 to 197.9 in 2015-2016.

  2. Average adult male body weight in the U.S. from 1999 to 2016, by age

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Average adult male body weight in the U.S. from 1999 to 2016, by age [Dataset]. https://www.statista.com/statistics/955043/adult-male-body-weight-average-us-by-age/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2016
    Area covered
    United States
    Description

    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.

  3. Average adult male body weight in the U.S. from 1999 to 2016, by ethnicity

    • statista.com
    Updated Jan 14, 2019
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    Statista (2019). Average adult male body weight in the U.S. from 1999 to 2016, by ethnicity [Dataset]. https://www.statista.com/statistics/955064/adult-male-body-weight-average-us-by-ethnicity/
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2016
    Area covered
    United States
    Description

    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.

  4. U.S. adults average self-reported weight from 1990 to 2024

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). U.S. adults average self-reported weight from 1990 to 2024 [Dataset]. https://www.statista.com/statistics/1305115/us-adults-average-self-reported-weight-by-gender/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  5. Weight of individuals in England 1998-2022, by gender

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). Weight of individuals in England 1998-2022, by gender [Dataset]. https://www.statista.com/statistics/333862/weight-of-individuals-by-gender-in-england/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England
    Description

    In England, there has been fairly significant increase in the mean weight of the population over the last quarter-century. In 1998, the mean weight was under 81 kilograms for men and around 68 kilograms for women. By 2022, the mean weight of men was 85.8 kilograms and the mean weight of women was 72.8 kilograms.

  6. M

    Myanmar MM: Prevalence of Underweight: Weight for Age: Male: % of Children...

    • ceicdata.com
    Updated Mar 15, 2024
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    CEICdata.com (2024). Myanmar MM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/myanmar/health-statistics/mm-prevalence-of-underweight-weight-for-age-male--of-children-under-5
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    Dataset updated
    Mar 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2009
    Area covered
    Myanmar (Burma)
    Description

    Myanmar MM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 23.000 % in 2009. This records a decrease from the previous number of 31.100 % for 2003. Myanmar MM: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 31.100 % from Dec 2000 (Median) to 2009, with 3 observations. The data reached an all-time high of 31.700 % in 2000 and a record low of 23.000 % in 2009. Myanmar MM: Prevalence of Underweight: Weight for Age: 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 Myanmar – Table MM.World Bank.WDI: Health Statistics. Prevalence of underweight, male, is the percentage of boys 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.

  7. S

    Swaziland SZ: Prevalence of Overweight: Weight for Height: Male: % of...

    • ceicdata.com
    Updated Apr 8, 2019
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    CEICdata.com (2019). Swaziland SZ: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/eswatini/health-statistics/sz-prevalence-of-overweight-weight-for-height-male--of-children-under-5
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    Dataset updated
    Apr 8, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2010
    Area covered
    Eswatini
    Description

    Swaziland SZ: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 10.100 % in 2010. This records a decrease from the previous number of 11.800 % for 2006. Swaziland SZ: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 11.800 % from Dec 2000 (Median) to 2010, with 3 observations. The data reached an all-time high of 15.800 % in 2000 and a record low of 10.100 % in 2010. Swaziland SZ: Prevalence of Overweight: 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 Eswatini – Table SZ.World Bank.WDI: Health Statistics. Prevalence of overweight, male, is the percentage of boys 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

  8. u

    Demographic and Health Survey 2000-2001 - Uganda

    • microdata.ubos.org
    • catalog.ihsn.org
    • +2more
    Updated Feb 14, 2018
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    Uganda Bureau of Statistics (UBOS) (2018). Demographic and Health Survey 2000-2001 - Uganda [Dataset]. https://microdata.ubos.org:7070/index.php/catalog/51
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    Uganda Bureau of Statistics (UBOS)
    Time period covered
    2000 - 2001
    Area covered
    Uganda
    Description

    Abstract

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 7,246 women age 15-49 and 1,962 men age 15-54. The main purpose of the 2000-2001 UDHS is to provide policy-makers and programme managers with detailed information on fertility; family planning; childhood and adult mortality; maternal and child health and nutrition; and knowledge of, attitudes about, and practices related to HIV/AIDS. The 2000-2001 UDHS is the third national sample survey of its kind to be undertaken in Uganda. The first survey was implemented in 1988-1989 and was followed by the 1995 UDHS. Caution needs to be exercised when analysing trends using the three UDHS data sets because of some differences in geographic coverage.

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of haemoglobin and vitamin A in the blood.

    The 2000-2001 UDHS is a follow-up to the 1988-1989 and 1995 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS, previously the Department of Statistics). The 2000-2001 UDHS is significantly expanded in scope but also provides updated estimates of basic demographic and health indicators covered in the earlier surveys.

    The specific objectives of the 2000-2001 UDHS are as follows: - To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates - To analyse the direct and indirect factors that determine the level and trends in fertility and mortality - To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region - To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use - To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices - To collect data on family health, including immunisations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding - To measure levels of haemoglobin and vitamin A in the blood of women and children - To collect information on the extent of child labour.

    MAIN FINDINGS

    • Constant Fertility: The UDHS results show that fertility in Uganda has remained stationary in recent years. The total fertility rate (TFR) declined from 7.3 births per woman recorded in the 1988 survey to 6.9 births for the 1995 UDHS. Since then, the TFR has remained at the same level. The crude birth rate (CBR) from the 2000-2001 survey is 47 births per 1,000 population, essentially the same as that recorded in 1995 (48 births per 1,000 population).

    • Unplanned Fertility: Despite increasing use of contraception, the survey data show that unplanned pregnancies are still common in Uganda. One in four births in the five years prior to the survey were mistimed (wanted later), and 15 percent were not wanted at all. If unwanted births could be prevented, the total fertility rate in Uganda would be 5.3 births per woman instead of the actual level of 6.9.

    • Fertility regulation: Increasing Use of Contraception. Contraceptive use among currently married women in Uganda has increased from 15 percent in 1995 to 23 percent in 2000-2001. Most of the increase is due to greater use of modern methods (8 percent in 1995 compared with 18 percent in 2000-2001). The most widely used methods in 2000-2001 were injectables (6 percent), the lactational amenorrhoea method (4 percent), and the pill (3 percent). There has been a shift in method mix since 1995, when periodic abstinence, the pill, and injectables were the most widely used methods. Condom use has also increased from 1 percent in 1995 to 2 percent in 2000-2001.

    • Maternal and child health: Antenatal Care. Survey data show that antenatal coverage is very high in Uganda. Women receive at least some antenatal care for more than nine in ten births. In most cases, antenatal care is provided by a nurse or a midwife (83 percent). Doctors provide antenatal care to 9 percent of pregnant women, while the role of traditional birth attendants is insignificant. Only 42 percent of pregnant women make four or more antenatal care visits, while another 42 percent make only two or three visits. Moreover, very few women receive antenatal care during the first trimester of pregnancy. The majority of women (70 percent) receive tetanus toxoid vaccination during pregnancy, with 42 percent of the women receiving two or more doses of vaccine.

    • Nutritional Status of Children: Survey data show that there has been little improvement since 1995 in children's nutritional status. Overall, 39 percent of Ugandan children under five years are classified as stunted (low height-for-age), 4 percent of children under five years are wasted (low weight-for-height), and 23 percent are underweight.

    • Nutritional Status of Women: The mean height for Ugandan women is 158 centimetres (cm), which is similar to the mean height obtained in the 1995 UDHS. The cutoff point below which women are identified as short in stature is in the range of 140 to 150 cm. Two percent of women are less than 145 cm tall. Another measure of women's nutritional status is the body mass index (BMI), which is derived by dividing the weight in kilograms by the height in metres squared (kg/m2). A cutoff point of 18.5 has been recommended for defining chronic undernutrition. In the 2000-2001 UDHS, the mean BMI for women was 21.9, which falls within normal limits.

    • Knowledge of HIV/AIDS: In Uganda, HIV/AIDS has been termed a “household disease”, because nine in ten respondents of either sex knew personally of someone with HIV or who had died of AIDS. Although knowledge of AIDS in Uganda is universal, the level of awareness about the disease is not matched by the knowledge of ways to avoid contracting the virus. The most commonly cited ways are using condoms (54 percent of women and 72 percent of men), abstaining from sexual relations (50 percent of women and 65 percent of men), and having only one sexual partner (49 percent of women and 43 percent of men).

    • Mortality : knowledge is uneven. Overall, 58 percent of women know that HIV can be transmitted during pregnancy, 69 percent know about transmission during delivery, and 46 percent know about transmission during breastfeeding. Levels of knowledge among men are similar.

    • Knowledge of Symptoms of Sexually Transmitted Infections (STIs): STIs have been identified as cofactors in HIV/AIDS transmission. Almost half of women and one in four men either have no knowledge of STIs at all or are unable to recognise any symptoms of STIs in a man. Sixty-four percent of women know of some symptoms of STIs in women and 53 percent know of some symptoms in men. Knowledge of symptoms of STIs among men is generally higher than among women.

    • HIV/AIDS testing: Eight percent of women and 12 percent of men report that they have been tested for HIV. Women in their twenties and men age 25-39 are the most likely to have had the test. This test is much more common among respondents living in urban areas, in the Central Region, and in Kampala district and among those who have secondary education.

    Geographic coverage

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey. But it was not possible to cover all 45 districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then 45 districts in the country, excluding the districts of Kasese and Bundibugyo in the Western Region and Gulu and Kitgum in the Northern Region. These districts cover approximately 5 percent of the total population.

    Analysis unit

    • Household
    • Women age 15-49
    • Men age 15-54
    • Children under five

    Universe

    The population covered by the 2000 UDHS is defined as the universe of all women age 15-49 in Uganda and all men age 15-54.

    Kind of data

    Sample survey data

    Sampling procedure

    The sample was drawn through a two-stage design. The first-stage sample frame for this survey is the list of enumeration areas (EAs) compiled from the 1991 Population Census. In this frame, the EAs are grouped by parish within a subcounty, by subcounty within a county, and by county within a district. A total of 298 EAs (102 in urban areas and 196 in rural areas) were selected. Urban areas and districts included in the Delivery of Improved Services for Health (DISH) project and the Community Reproductive Health Project (CREHP) were oversampled in order to produce estimates for these segments of the population.

    Within each selected EA, a complete household listing was done to provide the basis for the second-stage sampling. The number of households to be selected in each sampled EA was allocated proportionally to the number of households in the EA.

    It was not possible to cover all districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then

  9. Weight of high school students in South Korea 2000-2023, by gender

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Weight of high school students in South Korea 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/651796/south-korea-weight-high-school-students/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, the male student population aged 16 in South Korea weighed **** kilograms on average. Their female classmates had an average weight of **** kilograms. The average weight for male high school students gradually increased in recent years, while the weight for female students fluctuated.

  10. f

    Combined Impact of Lifestyle Factors on Prospective Change in Body Weight...

    • plos.figshare.com
    tiff
    Updated Jun 3, 2023
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    Anne M. May; Dora Romaguera; Noémie Travier; Ulf Ekelund; Manuela M. Bergmann; Rudolf Kaaks; Birgit Teucher; Annika Steffen; Heiner Boeing; Jytte Halkjaer; Anne Tjonneland; Marianne Uhre Jakobsen; Kim Overvad; Laureen Dartois; Guy Fagherazzi; Marie-Christine Boutron-Ruault; J. Ramón Quirós; Antonio Agudo; Carlos Gonzalez; María-José Sánchez; Pilar Amiano; Jose-Maria Huerta; Eva Ardanaz; Nicholas J. Wareham; Francesca L. Crowe; Androniki Naska; Philippos Orfanos; Antonia Trichopoulou; Domenico Palli; Claudia Agnoli; Rosario Tumino; Paolo Vineis; Salvatore Panico; H. Bas Bueno-de-Mesquita; Monique Verschuren; Isabel Drake; Emily Sonestedt; Tonje Braaten; Sabina Rinaldi; Isabelle Romieu; Nadia Slimani; Teresa Norat; Elio Riboli; Petra H. M. Peeters (2023). Combined Impact of Lifestyle Factors on Prospective Change in Body Weight and Waist Circumference in Participants of the EPIC-PANACEA Study [Dataset]. http://doi.org/10.1371/journal.pone.0050712
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    tiffAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anne M. May; Dora Romaguera; Noémie Travier; Ulf Ekelund; Manuela M. Bergmann; Rudolf Kaaks; Birgit Teucher; Annika Steffen; Heiner Boeing; Jytte Halkjaer; Anne Tjonneland; Marianne Uhre Jakobsen; Kim Overvad; Laureen Dartois; Guy Fagherazzi; Marie-Christine Boutron-Ruault; J. Ramón Quirós; Antonio Agudo; Carlos Gonzalez; María-José Sánchez; Pilar Amiano; Jose-Maria Huerta; Eva Ardanaz; Nicholas J. Wareham; Francesca L. Crowe; Androniki Naska; Philippos Orfanos; Antonia Trichopoulou; Domenico Palli; Claudia Agnoli; Rosario Tumino; Paolo Vineis; Salvatore Panico; H. Bas Bueno-de-Mesquita; Monique Verschuren; Isabel Drake; Emily Sonestedt; Tonje Braaten; Sabina Rinaldi; Isabelle Romieu; Nadia Slimani; Teresa Norat; Elio Riboli; Petra H. M. Peeters
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe evidence that individual dietary and lifestyle factors influence a person’s weight and waist circumference is well established; however their combined impact is less well documented. Therefore, we investigated the combined effect of physical activity, nutrition and smoking status on prospective gain in body weight and waist circumference. MethodsWe used data of the prospective EPIC-PANACEA study. Between 1992 and 2000, 325,537 participants (94,445 men and 231,092 women, aged between 25–70) were recruited from nine European countries. Participants were categorised into two groups (positive or negative health behaviours) for each of the following being physically active, adherent to a healthy (Mediterranean not including alcohol) diet, and never-smoking for a total score ranging from zero to three. Anthropometric measures were taken at baseline and were mainly self-reported after a medium follow-up time of 5 years. ResultsMixed-effects linear regression models adjusted for age, educational level, alcohol consumption, baseline body mass index and follow-up time showed that men and women who reported to be physically active, never-smoking and adherent to the Mediterranean diet gained over a 5-year period 537 (95% CI −706, −368) and 200 (−478, −87) gram less weight and 0.95 (−1.27, −0.639) and 0.99 (−1.29, −0.69) cm less waist circumference, respectively, compared to participants with zero healthy behaviours. ConclusionThe combination of positive health behaviours was associated with significantly lower weight and waist circumference gain.

  11. Mean body mass index in England 2022, by gender and age

    • statista.com
    Updated Dec 20, 2024
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    Statista (2024). Mean body mass index in England 2022, by gender and age [Dataset]. https://www.statista.com/statistics/375886/adult-s-body-mass-index-by-gender-and-age-in-england/
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom (England)
    Description

    In 2022, men aged 55 to 64 years had an average body mass index (BMI) of 29 kg/m2 and women in the same age group had a BMI of 28.8 kg/m2, the highest mean BMI across all the age groups. Apart from individuals aged 16 to 24 years, every demographic in England had an average BMI which is classified as overweight.An increasing problem It is shown that the mean BMI of individuals for both men and women has been generally increasing year-on-year in England. The numbers show in England, as in the rest of the United Kingdom (UK), that the prevalence of obesity is an increasing health problem. The prevalence of obesity in women in England has increased by around nine percent since 2000, while for men the share of obesity has increased by six percent. Strain on the health service Being overweight increases the chances of developing serious health problems such as diabetes, heart disease and certain types of cancers. In the period 2019/20, England experienced over 10.7 thousand hospital admissions with a primary diagnosis of obesity, whereas in 2002/03 this figure was only 1,275 admissions. Furthermore, the number of bariatric surgeries taking place in England, particularly among women, has significantly increased over the last fifteen years. In 2019/20, over 5.4 thousand bariatric surgery procedures were performed on women and approximately 1.3 thousand were carried out on men.

  12. I

    Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5...

    • ceicdata.com
    Updated May 11, 2018
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    CEICdata.com (2018). Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/iraq/health-statistics/iq-prevalence-of-stunting-height-for-age-male--of-children-under-5
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    Dataset updated
    May 11, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2011
    Area covered
    Iraq
    Description

    Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 23.500 % in 2011. This records a decrease from the previous number of 28.700 % for 2006. Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 28.700 % from Dec 2000 (Median) to 2011, with 3 observations. The data reached an all-time high of 28.900 % in 2000 and a record low of 23.500 % in 2011. Iraq IQ: Prevalence of Stunting: Height for Age: 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 Iraq – Table IQ.World Bank.WDI: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. 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.

  13. Weight of middle school students in South Korea 2000-2023, by gender

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Weight of middle school students in South Korea 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/651795/south-korea-weight-middle-school-students/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, the average male middle school student in South Korea weighed **** kilograms, while the average female student weight **** kilograms. The weight of middle school students in Korea has changed dramatically in recent years. The average height also increased, but the increase in body weight was noticeably greater than in the height. Education fever and healthSouth Korea is known as a country with “education fever”. To study in a good high school, a good university, and eventually work in a good company, students are working hard to get the best possible score in their respective positions. However, most students are suffering from lack of sleep and unbalanced eating habits due to prolonged study times combined with their regular schedule at school and private education. The obesity rate of South Korean students has also increased over the years, alongside the average weight. Obesity in South KoreaThe obesity rate refers to the population rate with a body mass index (BMI) of over **. As of 2022, more than one third of the population were considered obese, showing a steady increase since 2008. The age group with the largest rate of obesity was the population in their forties, however, the obesity rate of the young population aged 19 to 29 years old has experienced rapid growth over the years.

  14. Weight of elementary school students in South Korea 2000-2023, by gender

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Weight of elementary school students in South Korea 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/651794/south-korea-weight-elementary-school-students/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, the male student population aged 10 years old weighed **** kilograms on average. Their female counterparts recorded an average weight of **** kilograms. Female elementary students in South Korea generally weighed less on average than their male counterparts.

  15. Height of high school students in South Korea 2000-2023, by gender

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Height of high school students in South Korea 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/651793/south-korea-height-high-school-students/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, South Korean high school students were among the tallest in Asia, with male students aged 16 years old averaging ***** cm and female students averaging ***** cm. Both South Korean men and women have seen drastic increases in height over the past century, and in the case of women, the change in average height is the largest increase for any population in the world. Height is linked to health The average height of a population can be a good indicator for the overall health of that country; aside from genetic factors, nutrition and childhood infections play an important role in how a child will develop in terms of growth. South Koreans can expect to live longer these days; the average life expectancy at birth has steadily increased and was at **** years as of 2022. Women are expected to live slightly longer than men by around five years. The average weight of South Korean high school students has also generally increased over the years, which may suggest nutrition has improved. However, as with many other OECD countries, the obesity rate has also increased among the population.

  16. Waist circumference in England 2022, by gender and age

    • statista.com
    Updated Jul 17, 2025
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    Statista (2025). Waist circumference in England 2022, by gender and age [Dataset]. https://www.statista.com/statistics/375954/waist-circumference-by-gender-and-age-in-england/
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom (England)
    Description

    In 2022, the mean waist circumference in England among the age group of 65 to 74 years was 104.5 centimeters for men and 91.3 centimeters for women. The was the age group with the largest average waist circumference among men, while the highest among women was reported in the age groups 55 to 64 years and above 75 years. Age and gender differences in very high waist circumference The 2022 data shows that the age group between 65 and 74 years in England had the largest share of men with very high waist circumference at 54 percent, whereas 56 percent of the women in the age group from 55 to 64 years had the same classification. Interestingly, both men and women. The youngest age group, 16 to 34 years, had the smallest share of individuals with very high waist circumference for both genders, with men at 17 percent and women at 34 percent. Obesity trends and health implications The increasing waist sizes align with broader obesity trends in England. In 2022, the mean body mass index (BMI) for both men and women was 27.6, which falls into the overweight category. This is part of a steady upward trend since 1998. The prevalence of obesity has also risen, with 30 percent of women and 28 percent of men classified as obese in 2022, up from 21 percent for both genders in 2000. Additionally, 39 percent of men and 31 percent of women were classified as overweight in 2022, while the share of individuals classified as having normal body weight was 31 percent among men and 37 percent among women in England.

  17. Average body height of male and female adults in China 2015-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average body height of male and female adults in China 2015-2020 [Dataset]. https://www.statista.com/statistics/1202219/china-average-body-height-of-male-and-female-adults/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, the average height of males aged between 18 and 44 years in China figured at ***** centimeters, up *** centimeters compared to that in 2015. On the other side, obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.

  18. Percentage of obese U.S. adults by state 2023

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). Percentage of obese U.S. adults by state 2023 [Dataset]. https://www.statista.com/statistics/378988/us-obesity-rate-by-state/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

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Statista (2019). Average adult body weight in the U.S. from 1999 to 2016 [Dataset]. https://www.statista.com/statistics/955031/adult-body-weight-average-us/
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Average adult body weight in the U.S. from 1999 to 2016

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Dataset updated
Jan 14, 2019
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
1999 - 2016
Area covered
United States
Description

This statistic depicts the average body weight of U.S. adults aged 20 years and over from 1999 to 2016. According to the data, the average male body weight has increased from 189.4 in 1999-2000 to 197.9 in 2015-2016.

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