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Work stress induced weight gain in construction
Published in Imriyas Kamardeen, Work Stress Induced Chronic Diseases in Construction, 2021
World Health Organization (WHO) (2018) defined overweight and obesity as abnormal or excessive fat accumulation in the body that may impair health. It is commonly measured by body mass index (BMI), a ratio of weight-to-height of a person, in which the weight in kilograms is divided by the square of the height (kg/m2). An individual with a BMI ≥ 25 is classified overweight whilst the one with a BMI ≥ 30 is considered obese. Ritchie and Roser (2019) claimed that 13% of adults in the world today are obese and another 39% are overweight. Australian Institute of Health and Welfare (2019) warned that overweight, particularly obesity, increases the risk of type 2 diabetes, cardiovascular disorders, musculoskeletal disorders and certain cancers. Obesity is also a leading risk factor for early death; 4.7 million global deaths (8%) were linked to obesity in 2017 (Ritchie and Roser 2019).
Obesity
Published in Charlotte Fabiansson, Stefan Fabiansson, Food and the Risk Society, 2016
Charlotte Fabiansson, Stefan Fabiansson
The BMI was developed as an index of overall body size by removing the influence of body height on body weight, but it has been criticised as an inaccurate index of body fat. In addition to BMI, other measurements of body fat percentage are available, such as skinfold measurement with callipers or the use of bioelectrical impedance measurements (Durnin and Womersley 2007; Kyle et al. 2004). However, epidemiological studies of BMI and per cent body fat in relation to death rates and risk factors have shown that in no instance is per cent body fat superior to BMI in predicting health risk factors. The BMI measurement is more closely related to health risk factors than what direct body fatness measurements predict, hence the continued use of BMI is justified (Ernsberger 2012).
Role of Analytics in IoT
Published in Ambikapathy, R. Shobana, Logavani, Dharmasa, Reinvention of Health Applications with IoT, 2022
S. Manikandan, K. Gowrishankar, Jagadeesh Pasupuleti
The body mass index (BMI) is a common vital indicator of health. BMI is calculated as the ratio of weight and height. It will define a person as underweight, normal, overweight, or obese. A high BMI indicates an increased risk of cardiovascular diseases such as high blood pressure, diabetes etc. People who are overweight or obese have a high risk of getting gall stones. Also, waist circumference has a significant impact on health risk when it is high, for example, more than 40 inches. This implies those people have high health-related risks. Improper nutrition in adults is common these days usually due to many complex issues surrounding food or inadequate diet. BMI acts as a good indicator of person's health.
Associations between Household- and Child-Referenced Food Security Status and Dietary Intake among Low-Income Urban Black Children
Published in Journal of Hunger & Environmental Nutrition, 2022
Angela C. B. Trude, Gabriela M. Vedovato, Shahmir H. Ali, Maureen M. Black, Joel Gittelsohn
Antropometrics: We directly measured weight and height of adults/caregivers and children in the same household, using a Seca 213 Portable Measuring Rod stadiometer and a Tanita BF697W Duo Scale. Respondents were weighed and measured barefoot, in their clothes, removing only heavy outerwear. Body Mass Index (BMI) was obtained by calculating weight/height2 (kg/m2). For adults, overweight was defined as BMI between 25.00 and 29.99 kg/m2 and obesity as BMI greater than or equal to 30.00 kg/m2, according to the WHO recommendations.28 BMI for children up to 14 years old was assessed using BMI-for-age, according to the CDC 2000 growth chart. Overweight was defined as a BMI-for-age Z-score ≥1 and <2 and obesity as a BMI-for-age Z-score ≥2 for children of the same age and sex.
Association of environmental exposure to heavy metals and eczema in US population: Analysis of blood cadmium, lead, and mercury
Published in Archives of Environmental & Occupational Health, 2019
Jia Wei, Junfeng (Jim) Zhang, John S. Ji
Lifestyle variables were smoking (never, past, current), alcohol use (never, past, current light, current heavy), sleep (less than 6 hours, 6–7 hours, 7+ hours), and BMI (underweight, normal weight, overweight, obesity). Participants who smoked less than 100 cigarettes in life were classified as never smokers. Participants who smoked at least 100 cigarettes in life were classified as current smokers if they reported currently smoking “some days” or “every day” and former smokers if they reported “not at all” currently. Participants who had less than 12 alcoholic drinks in lifetime were classified as never drinker. Participants who had at least 12 alcoholic drinks in lifetime but did not drink any alcohol over past 12 months were classified as past drinkers. For participants who had drunk alcohol over past 12 month, those who consumed more than one drink per day on average were classified as heavy drinkers, and those who consumed one drink or less on average were classified as light drinkers. BMI was classified into four groups, underweight (BMI<18.5), normal weight (18.5< = BMI<25), overweight (25< = BMI<30), and obesity (BMI> = 30).
Effects of audiovisual stimuli on psychological and psychophysiological responses during exercise in adults with obesity
Published in Journal of Sports Sciences, 2019
Marcelo Bigliassi, João P. A. Greca, Vinícius Barreto-Silva, Priscila Chierotti, Arli R. de Oliveira, Leandro R. Altimari
Finally, it is important to acknowledge the limitations associated with the BMI method used in the present experiment to classify participants according to their nutritional status. BMI fails to take a number of different factors into account such as age, sex, and body composition. However, BMI is still one of the most common tools for determining one’s nutritional status (for details, see “Obesity: Preventing and managing the global epidemic. Report of a WHO consultation, 2000). In order to partially compensate for some of the limitations associated with the BMI method, the present authors used a physical activity questionnaire as a means by which to prevent the erroneous recruitment of participants who are very muscular as a result of long-term engagement in physical activity programmes.