Family average income and body mass index above the healthy weight range among urban and rural residents in regional Mainland China

2005 ◽  
Vol 8 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Fei Xu ◽  
Xiao-Mei Yin ◽  
Min Zhang ◽  
Eva Leslie ◽  
Robert Ware ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mainland China ◽  
Healthy Weight ◽  
Average Income ◽  
Rural Residents ◽  
Weight Range ◽  
Urban And Rural Residents

scholarly journals Family average income and body mass index above the healthy weight range among urban and rural residents in regional Mainland China

2005 ◽  
Vol 8 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Fei Xu ◽  
Xiao-Mei Yin ◽  
Min Zhang ◽  
Eva Leslie ◽  
Robert Ware ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Weight Status ◽  
Vegetable Consumption ◽  
Economic Status ◽  
Mainland China ◽  
Healthy Weight ◽  
Average Income ◽  
Weight Range ◽  
Socio Economic Status

AbstractObjective:To explore the relationship between family average income (FAI; an index of socio-economic status) and body mass index (BMI; a widely used, inexpensive indicator of weight status) above the healthy weight range in a region of Mainland China.Design:Population-based cross-sectional study, conducted between October 1999 and March 2000 on a sample of regular local residents aged 35 years or older who were selected by random cluster sampling.Setting:Forty-five administrative villages selected from three urban districts and two rural counties of Nanjing municipality, Mainland China, with a regional population of 5.6 million.Subjects:In total, 29 340 subjects participated; 67.7% from urban and 32.3% from rural areas; 49.8% male and 50.2% female. The response rate among eligible participants was 90.1%.Results:The proportion of participants classified as overweight was 30.5%, while 7.8% were identified as obese. After adjusting for possible confounding variables (age, gender, area of residence, educational level, occupational and leisure-time physical activity, daily vegetable consumption and frequency of red meat intake), urban participants were more likely to be overweight or obese relative to their rural counterparts, more women than men were obese, and participants in the lowest FAI tertile were the least likely to be above the healthy weight range.Conclusions:The proportion of adults with BMI above the healthy weight range was positively related to having a higher socio-economic status (indexed by FAI) in a regional Chinese population.

scholarly journals Increasing Body Mass Index z-Score Is Continuously Associated with Complications of Overweight in Children, Even in the Healthy Weight Range

2006 ◽  
Vol 92 (2) ◽  
pp. 517-522 ◽  
Author(s):  
Lana M. Bell ◽  
Sue Byrne ◽  
Alisha Thompson ◽  
Nirubasini Ratnam ◽  
Eve Blair ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Healthy Weight ◽  
Z Score ◽  
Weight Range

Family average income and diagnosed Type 2 diabetes in urban and rural residents in regional mainland China

2006 ◽  
Vol 23 (11) ◽  
pp. 1239-1246 ◽  
Author(s):  
F. Xu ◽  
X. M. Yin ◽  
M. Zhang ◽  
E. Leslie ◽  
R. Ware ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mainland China ◽  
Average Income ◽  
Rural Residents ◽  
Urban And Rural Residents

scholarly journals Effect of Children’s Weight Status on Physical Activity and Sedentary Behavior during Physical Education, Recess, and After School

2020 ◽  
Vol 9 (8) ◽  
pp. 2651
Author(s):  
Zachary C. Pope ◽  
Charles Huang ◽  
David Stodden ◽  
Daniel J. McDonough ◽  
Zan Gao
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Elementary School ◽  
Physical Education ◽  
Sedentary Behavior ◽  
Body Mass ◽  
Weight Status ◽  
After School ◽  
Healthy Weight

Children’s body mass index may affect physical activity (PA) participation. Therefore, this study examined the effect of children’s weight status on underserved elementary school children’s PA and sedentary behavior (SB) throughout the segmented day. Participants were 138 children (X¯age = 8.14 years). Children’s height and weight were measured with subsequent classification of children as healthy weight or overweight/obese. Durations of moderate-to-vigorous PA (MVPA), light PA (LPA), and SB during physical education (PE), morning recess, lunch recess, after school, and overall were assessed via accelerometry over three days. Independent t-tests evaluated differences in children’s MVPA, LPA, and SB during each daily segment by weight status. Significantly higher MVPA was observed for children of healthy weight status versus children with overweight/obesity during morning recess, t(136) = 2.15, p = 0.03, after school, t(136) = 2.68, p < 0.01, and overall, t(136) = 2.65, p < 0.01. Interestingly, comparisons of children of healthy weight status and children with overweight/obesity’s LPA and SB during the after-school segment revealed a trend wherein children with overweight/obesity participated in slightly greater LPA/less SB than children of healthy weight status. Higher MVPA was observed among children of healthy weight versus children with overweight/obesity during most daily segments. Concerted efforts should focus on increasing MVPA among children with overweight/obesity.

scholarly journals Socio-demographic Correlates of Pre-pregnancy Body Mass Index Among Low-income Women in Hawaii WIC Participating in a Randomised Trial

2021 ◽  
Author(s):  
Michelle Asinobi ◽  
Cristina Palacios ◽  
Yanyan Wu ◽  
Jinan Banna
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Low Income ◽  
Randomised Trial ◽  
Categorical Variables ◽  
Healthy Weight ◽  
Childbearing Age ◽  
Demographic Correlates ◽  
Race Ethnicity ◽  
Low Income Women

Abstract Background: A healthy pre-pregnancy BMI fosters positive outcomes for both mother and infant both during and after pregnancy. To design interventions to promote a healthy pre-pregnancy BMI in low-income women, it is important to understand correlates. The purpose of this study was to identify the socio-demographic correlates of pre-pregnancy body mass index (BMI) among low-income women.Methods: Participants were low-income pregnant women (n=83) in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program in Hawai‘i enrolled in a four-month text message-based nutrition intervention program. Participants reported pre-pregnancy weight and height and completed a demographics questionnaire on age, race/ethnicity, education, employment status and number of children. Descriptive statistics (mean, standard deviation for continuous variables, and frequencies and proportions for categorical variables) were used to summarize the sample. Simply linear regression analyses were performed to examine if independent variables were associated with BMI before pregnancy. Results: Among the 83 women, 33 (39.8%) were 18-24 years old, 22 (26.5%) were between 25 and 29, 19 (22.9%) were 30-34 and 9 (10.8%) were 35-41. A total of 18 (21.7%) were Asian. Age and race/ethnicity were marginally associated with BMI before pregnancy. The age group 30-34 had the highest BMI before pregnancy (p=0.06) and Asian had lower BMI before pregnancy than the other races/ethnicities (p=0.01). Conclusions: Being classified as Asian was associated with lower BMI before pregnancy, while those who were 30-34 years old had the highest pre-pregnancy BMI compared to other age groups. These socio-demographic factors should be taken into account when designing interventions to promote healthy weight in women of childbearing age. Trial registration: The trial is registered on clinicaltrials.gov (NCT04330976). Date of registration April 2, 2020 (restrospectively registered). URL: https://clinicaltrials.gov/ct2/show/NCT04330976

scholarly journals Body Mass Index and Its Association with Genetically Transmitted Traits

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Sultan Z. Alasmari ◽  
Nashwa Eisa ◽  
Saeed Mastour Alshahrani ◽  
Mohammad Mahtab Alam ◽  
Prasanna Rajagopalan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Female Students ◽  
Blood Type ◽  
Hair Color ◽  
Healthy Weight ◽  
Genetic Traits ◽  
Eye Color ◽  
Abo Blood Type ◽  
Chi Square Analysis

Background. Body mass index (BMI) is a metric widely used to measure the healthy weight of an individual and to predict a person’s risk of developing serious illnesses. Study the statistical association between genetically transmitted traits and BMI might be of interest. Objectives. The present study designed to extend the inadequate evidence concerning the influence of some genetically transmitted traits including ABO blood type, Rh factor, eye color, and hair color on BMI variation. Methods. A total of 142 undergraduate female students of the Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia, were participated to investigate the possible linkage between genetic traits and BMI variations. Height and weight are collected from participants for BMI measurement. ABO blood type and Rh factor were determined by antisera. Results. Out of 142 female students, 48 were categorized in the first tertile (T1: less than 19.8 kg/m2), 50 were categorized in the second tertile (T2: between 19.8 and 23.7 kg/m2), and 44 were categorized in the third tertile (T3: greater than 23.7 kg/m2). Chi-square analysis shows that there were no associations of genetic traits including hair color, eye color, ABO blood type, and Rh blood type with BMI. However, a significant association between hair color and BMI was observed using multinomial logistic regression analysis. Conclusions. Our data provides a more robust prediction of the relative influence of genetic effects such as hair color on BMI. Future studies may contribute to identifying more association between genes involved in hair pigmentation and BMI variation.

Morbid obesity in the UK: A modelling projection study to 2035

2018 ◽  
Vol 48 (4) ◽  
pp. 422-427 ◽  
Author(s):  
Laura Keaver ◽  
Benshuai Xu ◽  
Abbygail Jaccard ◽  
Laura Webber
Keyword(s):  
Body Mass Index ◽  
Morbid Obesity ◽  
Body Mass ◽  
Communicable Disease ◽  
Age Groups ◽  
Morbidly Obese ◽  
Healthy Weight ◽  
Individual Level ◽  
Annual Distribution ◽  
The Uk

Background: Morbid obesity (body mass index ⩾40 kg/m2) carries a higher risk of non-communicable disease and is associated with more complex health issues and challenges than obesity body mass index ≥30kg/m2 and <40kg/m2, resulting in much higher financial implications for health systems. Although obesity trends have previously been projected to 2035, these projections do not separate morbid obesity from obesity. This study therefore complements these projections and looks at the prevalence and development of morbid obesity in the UK. Methods: Individual level body mass index data for people aged >15 years in England, Wales (2004–2014) and Scotland (2008–2014) were collated from national surveys and stratified by sex and five-year age groups (e.g. 15–19 years), then aggregated to calculate the annual distribution of healthy weight, overweight, obesity and morbid obesity for each age and sex group. A categorical multi-variate non-linear regression model was fitted to these distributions to project trends to 2035. Results: The prevalence of morbid obesity was predicted to increase to 5, 8 and 11% in Scotland, England and Wales, respectively, by 2035. Welsh women aged 55–64 years had the highest projected prevalence of 20%. In total, almost five million people are forecast to be classified as morbidly obese across the three countries in 2035. Conclusions: The prevalence of morbid obesity is predicted to increase by 2035 across the three UK countries, with Wales projected to have the highest rates. This is likely to have serious health and financial implications for society and the UK health system.

BODY MASS INDEX AND BROMOXYNIL EXPOSURE IN A SAMPLE OF RURAL RESIDENTS DURING SPRING HERBICIDE APPLICATION

2004 ◽  
Vol 67 (17) ◽  
pp. 1321-1352 ◽  
Author(s):  
Karen M. Semchuk ◽  
Helen H. McDuffie ◽  
Ambikaipakan Senthilselvan ◽  
Allan J. Cessna ◽  
Donald G. Irvine
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Herbicide Application ◽  
Rural Residents

scholarly journals Healthy Weight Services in England before, during and after pregnancy: a mixed methods approach

2020 ◽  
Author(s):  
Frankie Fair ◽  
Katie Marvin-Dowle ◽  
Madelynne Arden ◽  
Hora Soltani
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Mixed Methods ◽  
Body Mass ◽  
Service Provision ◽  
Qualitative Data ◽  
Overweight And Obesity ◽  
Healthy Weight ◽  
Mixed Methods Approach ◽  
National Guidance

Abstract Background: Maternal overweight and obesity are associated with numerous adverse outcomes including higher rates of maternal and infant mortality and morbidity. Overweight and obesity before, during and after pregnancy are therefore a significant public health priority in England. This project explored and mapped healthy weight service availability at different stages of the childbearing cycle.Methods: A mixed methods approach included a questionnaire-based survey disseminated through Local Maternity Systems and semi-structured interviews or focus groups with providers and commissioners. Current maternal weight service provision was explored along with some of the barriers and facilitators for providing, delivering and accessing healthy weight services. Descriptive statistics were reported for quantitative data and content analysis was used for thematic reporting of qualitative data. Results: A total of 88 participants responded to the survey. All services were offered most frequently during pregnancy; with healthy eating and/or weight management services offered more often than physical activity services. Few services were targeted specifically at women with a raised body mass index. There was a high degree of inconsistency of service provision in different geographical areas. Several themes were identified from qualitative data including "equity and variation in service provision", "need for rigorous evaluation", "facilitators” to encourage better access or more effective service provision, including prioritisation, a change in focus and co-design of services, "barriers" encountered including financial and time obstacles, poor communication and insufficiently clear strategic national guidance and "the need for additional support”.Conclusions: There is a need to reduce geographical variation in services and the potential health inequalities that this may cause. Improving services for women with a raised body mass index as well as services which encourage physical activity require additional emphasis. There is a need for more robust evaluation of services to ensure they are fit for purpose. An urgent need for clear national guidance so that healthcare providers can more effectively assist mothers achieve a healthy weight gain was identified. Commissioners should consider implementing strategies to reduce the barriers of access identified such as childcare, transport, location and making services free at the point of use.

scholarly journals Body mass index and severity/fatality from coronavirus disease 2019: A nationwide epidemiological study in Korea

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253640
Author(s):  
In Sook Kang ◽  
Kyoung Ae Kong
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Multivariable Analysis ◽  
Healthy Weight ◽  
Significant Difference ◽  
Control And Prevention ◽  
Independent Risk Factors ◽  
Fatal Illness ◽  
Design And Methods ◽  
The Relationship

Objective Obesity has been reported as a risk factor for severe coronavirus disease 2019 (COVID-19) in recent studies. However, the relationship between body mass index (BMI) and COVID-19 severity and fatality are unclear. Research design and methods This study included 4,141 COVID-19 patients who were released from isolation or had died as of April 30, 2020. This nationwide data was provided by the Korean Centers for Disease Control and Prevention Agency. BMI was categorized as follows; < 18.5 kg/m2, 18.5–22.9 kg/m2, 23.0–24.9 kg/m2, 25.0–29.9 kg/m2, and ≥ 30 kg/m2. We defined a fatal illness if the patient had died. Results Among participants, those with a BMI of 18.5–22.9 kg/m2 were the most common (42.0%), followed by 25.0–29.9 kg/m2 (24.4%), 23.0–24.9 kg/m2 (24.3%), ≥ 30 kg/m2 (4.7%), and < 18.5 kg/m2 (4.6%). In addition, 1,654 (41.2%) were men and 3.04% were fatalities. Multivariable analysis showed that age, male sex, BMI < 18.5 kg/m2, BMI ≥ 25 kg/m2, diabetes mellitus, chronic kidney disease, cancer, and dementia were independent risk factors for fatal illness. In particular, BMI < 18.5 kg/m2 (odds ratio [OR] 3.97, 95% CI 1.77–8.92), 25.0–29.9 kg/m2 (2.43, 1.32–4.47), and ≥ 30 kg/m2 (4.32, 1.37–13.61) were found to have higher ORs than the BMI of 23.0–24.9 kg/m2 (reference). There was no significant difference between those with a BMI of 18.5–22.9 kg/m2 (1.59, 0.88–2.89) and 23.0–24.9 kg/m2. Conclusions This study demonstrated a non-linear (U-shaped) relationship between BMI and fatal illness. Subjects with a BMI of < 18.5 kg/m2 and those with a BMI ≥ 25 kg/m2 had a high risk of fatal illness. Maintaining a healthy weight is important not only to prevent chronic cardiometabolic diseases, but also to improve the outcome of COVID-19.

Sign in / Sign up

Export Citation Format

Share Document