In 2023, the average weight of South Korean women in their twenties was ***** kilograms. On average, South Korean women weighed around ***** kilograms.

In 2023, South Korean women weighed, on average, around ***** kilograms. Women across all age categories tended to have similar weight averages, apart from women aged 80 years and older, who weighed significantly less. The average height for women aged 39 years or younger that year was around *** centimeters. South Korean beauty standards The perception of beauty is generally heavily influenced by the media's portrayed image thereof. South Korean media promotes a limited one, namely the "thin ideal". Due to the goal of coming closer to the slim model, most South Korean women have tried to go on a diet. Additionally, most female respondents stated that weight control was the leading reason for participating in sports. For many researchers, the idealization of a thin body has lead has led to rising numbers of eating disorder cases and distorted self-images of young women. The growing plastic surgery market The share of people having undergone plastic surgery procedures is rising every year. According to a 2020 survey, women aged between 20 to 39 years represented the highest share of respondents who underwent plastic surgery. South Koreans showed the highest interest in double-eyelid surgery, followed by rhinoplasty. These procedures align with the beauty ideal of having big, double-lidded eyes and a high-bridged, pointy nose. Besides conveying a wealthy image, plastic surgery is also used to improve chances of finding a job and getting married. About ** percent of South Koreans think that it is acceptable to get plastic surgery for this reason.

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.

In 2022, the average weight of South Korean women in their 30s was ***** kilograms. On average, South Korean females weighed around ***** kilograms.

In 2023, the average weight of South Korean women in their forties was ***** kilograms. On average, South Korean women weighed around ***** kilograms.

In 2023, the average weight in South Korea stood at ***** kilograms. Over the past decade, this figure has slowly increased across both genders, with women weighing less than men on average.

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.

Korea Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.600 % in 2010. This records a decrease from the previous number of 1.000 % for 2003. Korea Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.800 % from Dec 2003 (Median) to 2010, with 2 observations. The data reached an all-time high of 1.000 % in 2003 and a record low of 0.600 % in 2010. Korea 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 Korea – Table KR.World Bank: 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.

In 2022, the average weight of South Korean women in their fifties lay at ***** kilograms. This represents a slight decrease compared to the previous year.

BackgroundMisperception of body weight is associated with various psychological and health problems, including obesity, eating disorders, and mental problems. To date, female-specific risk factors, including socioeconomic or health-related lifestyle features, or their indicative performance for the misperception in Asian women according to age groups remain unknown.ObjectivesTo investigate the prevalence and associated risk factors for the mismatch in self-perceived body weight and evaluated the classification performance of the identified risk factors across age groups in female adults.MethodsWe analyzed data of 22,121 women (age 19–97 years) from the 7-year Korea National Health and Nutrition Examination Survey dataset (2010-2016). We evaluated self-perceived body weight of the participants with their actual weight using the body mass index cut-off and grouped them by age: early adulthood (19–45), middle adulthood (46–59), and late adulthood (≥60). Logistic regression was conducted in each age group based on their weight misperception. The classification performance of the identified risk factors was evaluated with a bagging tree ensemble model with 5-fold cross-validation.Results22.2% (n=4,916) of the study participants incorrectly perceived their body weight, of which 14.1% (n=3,110) and 8.2% (n=1,806) were in the underestimated and overestimated groups. Among the age groups, the proportion of participants who misperceived their body weight was highest in late adulthood (31.8%) and the rate of overestimation was highest in early adulthood (14.1%). We found that a lower education level, absence of menopause, perception of themselves as unhealthy, and efforts for weight management were significantly associated with the overall misperception (overestimation or underestimation) of body weight across age groups. Based on the identified risk factors, the highest area under the receiver operating curve (AUROC) and accuracy of the best classification model (weight overestimation in all participants) were 0.758 and 0.761, respectively. Adding various associated lifestyle factors to the baseline model resulted in an average increase of 0.159 and 0.135 in AUROC for classifying weight underestimation and overestimation, respectively.ConclusionsAge, education level, marital status, absence of menopause, amount of exercise, efforts for weight management (gain, loss, and maintenance), and self-perceived health status were significantly associated with the mismatch of body weight.

Sensitivity analysis of multilevel linear models for depressive symptoms (PHQ-9K) among Korean women with varying cut-offs for normal weight category.

In 2023, the average weight of South Korean women aged 60 to 69 years was ***** kilograms. On average, South Korean females weighed around ***** kilograms.

BackgroundThe 2009 Institute of Medicine (IOM) guidelines for gestational weight gain (GWG) are intended for use among women in the United States. Little data are available on whether the 2009 IOM recommendations can be applied to Asian women. This study aimed to evaluate whether the recommendations are related to adverse pregnancy outcomes in Korean pregnant women.Methods and findingsA retrospective cohort study was conducted for all singleton-pregnant women at a university hospital in Korea. After classifying the enrolled women into four Korean pre-pregnancy body mass index (BMI) categories, the risk of adverse pregnancy outcomes were analyzed for women who gained inadequate or excessive GWG based on 2009 IOM recommendations. Of 7,843 pregnancies, 64.0% of women had normal pre-pregnancy BMI and 42.7% achieved optimal GWG. Across all BMI categories, adverse pregnancies outcomes such as small for gestational age (SGA), large for gestational age (LGA), preterm birth, preeclampsia, and cesarean due to dystocia were significantly associated with GWG (all P ≤ 0.001).Women with normal BMI who gained inadequate weight were more likely to develop SGA and preterm birth and less likely to develop LGA (adjusted odds ratio (aOR) 2.21, 1.33, and 0.54, respectively). Whereas, women with normal BMI who gained excessive weight were more likely to develop LGA, preterm birth, preeclampsia, and cesarean section due to dystocia (aOR 2.10, 1.33, 1.37, and 1.37, respectively) and less likely to develop SGA (aOR 0.60).ConclusionsIt is tolerable for Korean women to follow recommended GWG from the 2009 IOM guidelines to decrease adverse pregnancy outcomes. This will be helpful for antenatal care on GWG not only for Korean pregnant women, but also other Asian women who have lower BMI criteria than Caucasian women.

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.

North Korea KP: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 3.800 % in 2012. This records a decrease from the previous number of 5.300 % for 2009. North Korea KP: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 5.300 % from Dec 2002 (Median) to 2012, with 3 observations. The data reached an all-time high of 8.100 % in 2002 and a record low of 3.800 % in 2012. North Korea KP: 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 North Korea – Table KP.World Bank: 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.

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.

In 2022, almost ** percent of newborns had a normal birth weight between *** and four kilograms. Around *** percent fell below that, and were thus classified as underweight. Live births involving *** or more infants were more likely to involve underweight newborns than single births.

North Korea KP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 16.600 % in 2024. This records a decrease from the previous number of 17.000 % for 2023. North Korea KP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 25.800 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 52.500 % in 2000 and a record low of 16.600 % in 2024. North Korea KP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children 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 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;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). 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. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.