scholarly journals Family income and body mass index – what have we learned from China

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Fafanyo Asiseh ◽  
Jianfeng Yao
Author(s):  
Desmond Lam ◽  
Man Mok

Individuals’ body weight, measured in terms of body mass index (BMI), has been linked to various health issues in the literature. Recently, a positive relationship has been found between obesity and the level of problem gambling. In this exploratory study, we investigate the association between BMI, obesity, and gambling frequency across multiple types of leisure gambling. Data collected by the Pew Research Center among 1,473 gamblers was used to tests the links between BMI and gambling frequency for 16 types of leisure gambling activities. After we accounted for the effects of age, educational level, and family income and corrected for multiple comparisons, the results showed that obese participants (BMI ³ 30) conducted significantly more gambling activities in two types of gambling, namely, playing bingo for money and buying state lottery tickets. Moreover, among female gamblers only, BMI was positively associated with frequency of gambling related to casinos, college basketball, and video poker machines. The findings of this exploratory study allow a better understanding of the potential risk factors of obesity and may be of value to public policy makers.Dans diverses études antérieures, le poids corporel des personnes, mesuré en termes d’indice de masse corporelle (IMC), a été lié à divers problèmes de santé. Récemment, un lien positif a été constaté entre l’obésité et le niveau de jeu compulsif. Dans cette étude exploratoire, nous examinons la relation entre l’indice de masse corporelle, l’obésité et la fréquence du jeu, en nous basant sur divers types de jeux de hasard récréatifs. À l’aide de données recueillies par Pew Research Center auprès de 1 473 joueurs, l’étude sonde les liens entre l’IMC et la fréquence du jeu dans le cas de seize types de jeux récréatifs. Les résultats montrent qu’après avoir tenu compte de l’effet de l’âge, du niveau d’instruction et du revenu familial, ainsi que de la correction de comparaisons multiples, les participants obèses (IMC ≧ 30) ont mené beaucoup plus d’activités de jeu dans deux types de jeux, à savoir le bingo lucratif et l’achat d’une loterie d’État. De plus, seulement chez les joueurs de sexe féminin, l’IMC est positivement associé à la fréquence du jeu dans les cas du casino, du basketball universitaire et de la machine de vidéo poker. Les résultats de cette étude exploratoire nous permettent de mieux comprendre les facteurs de risque éventuels de l’obésité et peuvent être utiles aux décideurs publics.  


2018 ◽  
Vol 21 (05) ◽  
pp. 1063-1069
Author(s):  
Muhammad Zakria ◽  
Muhammad Ashraf

… Due to transformation in nutritional status, along with epidemiological and sociodemographic changes in developing countries like Pakistan, obesity and underweight coexistin our community. Date about coexistence of obesity (body mass index, BMI ≥ 30kg/m2) andunderweight (BMI ≥ 18.5 kg/m2) and related factors are lacking in this region of our province.This study will help us to relate different sociodemographic factors with obesity and underweight.Objective: To know the prevalence of obesity and underweight by body mass index (BMI) andto investigate the association of obesity and underweight with selected health conditions andsocioeconomic differences in this group. Study Design: Observational retrospective crosssectionalstudy. Material & Methods: The record of 1656 individual presented in medical OPDor Independent University Hospital Marzi Pura Faisalabad, during the period of 4 months Mar2013 to June 2013 was analysed. Age, Sex, Body Weight and height were enter in a structureformat sheet. Date was analysed by SPSS Version17. Results: Mean BMI was 24.0 kg/m2 (SD= 6.2), and was higher for women and decreased with age. Prevalence of obesity was 19.6%and was positively associated with female gender, family income, hypertension, and diabetesand inversely related to physical activity. Underweight affected 15.6% of participants mainly ofage group < 25 years and in elderly people, and was higher among women and low-incomefamilies. It was negatively associated with hypertension and diabetes and directly associatedwith Mycobacterium tuberculosis infection and ≥ 2 hospitalizations in the previous 12 months.Conclusions: Both obesity and underweight were associated with increased morbidity. Theassociation of underweight with Mycobacterium tuberculosis infection, increased hospitalization,and low family income may reflect illness-related weight loss in all age groups especially <25years due to poor care in younger by family and social deprivation of elderly in this community.Aging in poverty may lead to an increase in nutritional deficiencies and health-related problemsamong the elderly.


2019 ◽  
Vol 44 (9) ◽  
pp. 1009-1018 ◽  
Author(s):  
Katherine A Hails ◽  
Daniel S Shaw

Abstract Objective To test relations between exposure to poverty, in the forms of family income and neighborhood deprivation, during three developmental stages, and children’s body mass index (BMI) in early adolescence. Methods Data came from a longitudinal sample of racially diverse, urban, low-income boys. Interactions between family income to needs and census-derived neighborhood deprivation at three developmental stages—early childhood (18 and 24 months), preschool-to-school entry (3.5 and 6 years), and school-age (8 and 10 years)—were tested in relation to BMI at age 11. Results There was a significant interaction whereby higher income predicted lower BMI only in the context of low levels of neighborhood deprivation in early childhood. In high-deprivation neighborhoods, higher income was associated with risk for overweight/obesity in early adolescence. This pattern was found to be specific to income and neighborhood deprivation measured in early childhood. Conclusions Findings have implications for policy relevant to obesity prevention. More research on associations between early exposure to poverty and later risk for obesity on low-income samples is warranted, as the relationship is likely complex and influenced by many different factors, including the family and neighborhood food environments and child health behaviors.


2004 ◽  
Vol 59 (6) ◽  
pp. 329-336 ◽  
Author(s):  
Decio Mion Jr. ◽  
Angela M. G. Pierin ◽  
Alberto P. Bambirra ◽  
Jorge H. Assunção ◽  
Juliana M. Monteiro ◽  
...  

PURPOSE: To find out the prevalence of hypertension in employees of the Hospital and relate it to social demographic variables. METHODS: Blood pressure measurement was performed with a mercury sphygmomanometer, using an appropriate cuff size for arm circumference, weight, and height in a population sample of 864 individuals out of the 9,905 employees of a University General Hospital stratified by gender, age, and job position. RESULTS: Hypertension prevalence was 26% (62% of these reported being aware of their hypertension and 38% were unaware but had systolic/diastolic blood pressures of >140 and/or >90 mm Hg at the moment of the measurement). Of those who were aware of having hypertension, 51% were found to be hypertensive at the moment of the measurement. The prevalence was found to be 17%, 23%, and 29% (P <.05) in physicians, nursing staff, and "others", respectively. The univariate analysis showed a significant odds ratio for the male gender, age >50 years, work unit being the Institute of Radiology and the Administration Building, educational level <elementary school, length of work >10 years, and body mass index >30 kg/m². The multivariate logistic regression model revealed a statistically significant association of hypertension with the following variables: gender, age, skin color, family income, and body mass index. CONCLUSIONS: Hypertension prevalence was high, mainly in those who were not physicians or members of the nursing staff. High-risk groups (obese, non-white, men, low family income) should be better advised of prevention and early diagnosis of hypertension by means of special programs.


2004 ◽  
Vol 41 (5) ◽  
pp. 494-500 ◽  
Author(s):  
Martha M. Werler ◽  
Jane E. Sheehan ◽  
Catherine Hayes ◽  
Bonnie L. Padwa ◽  
Allen A. Mitchell ◽  
...  

Objective To identify demographic and reproductive risk factors for hemifacial microsomia in offspring. Design In a case-control study, maternal interviews were conducted within 3 years after delivery. Cases with hemifacial microsomia were ascertained from craniofacial centers in 26 cities in the United States and Canada. Controls were patients of the cases’ pediatricians. Two hundred thirty-nine cases were compared with 854 controls. Odds ratios for various infant and maternal factors were estimated. Results Cases had lower birth weights, were more often male or a twin, and had more relatives with craniofacial malformations or hearing loss than controls. Case mothers had lower family incomes, had a lower body mass index, had more vaginal bleeding in the second trimester, and were more likely to have had a spontaneous abortion in a previous pregnancy. Conclusions Nonmodifiable factors (age and parity) were not associated with hemifacial microsomia risk. Factors that are related to poverty (low family income, late recognition of pregnancy, and low body mass index) are associated with an increase in risk. High risk estimates for multiple pregnancies and second-trimester vaginal bleeding suggest a vascular etiology.


2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Elaine Cristina Caon de Souza ◽  
Marcia Margaret Menezes Pizzichini ◽  
Mirella Dias ◽  
Maíra Junkes Cunha ◽  
Darlan Lauricio Matte ◽  
...  

ABSTRACT Objective: To estimate the prevalence of respiratory symptoms and asthma, according to body mass index (BMI), as well as to evaluate factors associated with physician-diagnosed asthma, in individuals ≥ 40 years of age. Methods: This was a population-based cross-sectional study conducted in Florianópolis, Brazil, with probability sampling. Data were collected during home visits. Demographic data were collected, as were reports of physician-diagnosed asthma, respiratory symptoms, medications in use, and comorbidities. Anthropometric measurements were taken. Individuals also underwent spirometry before and after bronchodilator administration. Individuals were categorized as being of normal weight (BMI < 25 kg/m2), overweight (25 kg/m2 ≥ BMI < 30 kg/m2), or obese (BMI ≥ 30 kg/m2). Results: A total of 1,026 individuals were evaluated, 274 (26.7%) were of normal weight, 436 (42.5%) were overweight, and 316 (30.8%) were obese. The prevalence of physician-diagnosed asthma was 11.0%. The prevalence of obesity was higher in women (p = 0.03), as it was in respondents with ≤ 4 years of schooling (p < 0.001) or a family income of 3-10 times the national minimum wage. Physician-diagnosed asthma was more common among obese individuals than among those who were overweight and those of normal weight (16.1%, 9.9%, and 8.0%, respectively; p = 0.04), as were dyspnea (35.5%, 22.5%, and 17.9%, respectively; p < 0.001) and wheezing in the last year (25.6%, 11.9%, and 14.6%, respectively; p < 0.001). These results were independent of patient smoking status. In addition, obese individuals were three times more likely to report physician-diagnosed asthma than were those of normal weight (p = 0.005). Conclusions: A report of physician-diagnosed asthma showed a significant association with being ≥ 40 years of age and with having a BMI ≥ 30 kg/m2. Being obese tripled the chance of physician-diagnosed asthma.


2019 ◽  
Author(s):  
Yang Liu ◽  
Liyan Jiang ◽  
Mengru Zeng

Abstract Background Evidence regarding the association between demographics, socioeconomic status and metabolic syndrome is limited. We aim to investigate whether demographics and socioeconomic status are correlated with metabolic syndrome using data from National Health and Nutrition Examination Survey through 2013/2014 to 2015/2016.Methods A total of 4313 selected participants were included in this cross-sectional study. The independent variables were demographics (age, gender,and race/ethnicity) and socioeconomic status (the ratio of family income to poverty). The dependent variable was metabolic syndrome. The covariates included data release cycle, education level, marital status, dietary data, health insurance, average alcoholic drinks, current smoking, sedentary activity hours, physical activity minutes, and body mass index. Logistic regression analysis was used to evaluate the association between demographics, socioeconomic status and metabolic syndrome.Results In fully-adjusted models, we found that age was positively associated with metabolic syndrome (OR:1.05, 95%CI:1.04-1.05); compared with the male group, female was positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR:1.84, 95%CI:1.07-3.18) whereas it was negatively associated with metabolic syndrome in those with body mass index equal to or greater than 30 kg/m 2 (OR:0.62, 95%CI:0.48-0.81); compared with Mexican American, non-Hispanic Asian and other race/ethnicity were positively associated with metabolic syndrome in participants with body mass index under 25 kg/m 2 (OR: 7.30, 95%CI: 1.50-35.62 and OR: 6.09, 95%CI: 1.25-29.74, respectively) while non-Hispanic Black was negatively associated with metabolic syndrome in participants with body mass index equal to or greater than 25 kg/m 2 and less than 30 kg/m 2 (OR:0.58, 95%CI:0.36-0.92); there was no significant association between the ratio of family income to poverty and metabolic syndrome.Conclusions Among the population of nationally representative non-pregnant American adults, there is a correlation between demographics and metabolic syndrome whereas no correlation between socioeconomic status and metabolic syndrome after multivariates adjustment. Healthcare interventions targeting those with metabolic syndrome including older individuals, obese males, along with females, non-Hispanic Asian and other race/ethnicity with BMI under 25 kg/m 2 are required to address these disparities.


2019 ◽  
Vol 56 (1) ◽  
pp. 34-40 ◽  
Author(s):  
Juliano Teixeira MORAES ◽  
Ana Flávia Faria MELO ◽  
Camila ARAÚJO ◽  
Rafaela das Graças Santiago FARIA ◽  
Nize Renê FERREIRA ◽  
...  

ABSTRACT BACKGROUND: The maintenance of nutrition for the person with ileostomy is a major challenge despite to the proper management of stoma eliminations. OBJECTIVE: This study aimed to evaluate the nutritional status of people with ileostomy. METHOD: This is a cross-sectional study carried out on a population of 17 people with ileostomy enrolled in the Service of Attention to the Health of the Person with Stoma of level II, referring to a health region in Minas Gerais. The anthropometric evaluation consisted of the collection of weight, height, and calculation of body mass index. A 24-hour food recall and the nutritional assessment method Global Subjective Assessment were also evaluated. The data were analyzed by the Dietbox software, where the ingested nutrients were estimated, and by the Statistical Package for the Social Sciences version 22.0. RESULTS: There was a predominance of a population composed of people over 50 years old, female, married and single, with family income between two and three minimum wages, incomplete elementary school and that did not exercise paid activity. The cancer was given as the main diagnosis that originated the stoma and had a surgery time of less than two years. Regarding nutritional status, most of the interviewees presented adequate body mass index, but more than half reported significant weight loss after the ileostomy. The predominant nutritional diagnosis provided by the General Subjective Assessment was “suspected malnutrition/moderate malnutrition”. On the other hand, the contribution of energy, carbohydrates, lipids, sodium, potassium, magnesium and vitamin B12 was considered insufficient in almost all the participants. CONCLUSION: Therefore, it is suggested the periodic evaluation of the nutritional status of this population. Thus, it is expected that preventive, therapeutic and maintenance dietary diagnosis and planning may contribute to the nutritional status of the person with the ileostomy.


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