Inter-relationships between socio-demographic factors and body mass index in a representative Swedish adult population

1990 ◽  
Vol 10 ◽  
pp. S271-S275 ◽  
Author(s):  
Alicja Kuskowska-Wolk ◽  
Stephan Rössner
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Demographic Factors ◽  
Socio Demographic Factors

scholarly journals Correlation study of socio-demographic factors like gender, age, body mass index and some cardiovascular parameters in hypertensive subjects of Yenagoa, Bayelsa state, Nigeria

2021 ◽  
Vol 5 (2) ◽  
pp. 7-12
Author(s):  
Ayebatonbra Egbejimi Michael ◽  
Sunday Ogbu Ojeka ◽  
Zigabelbari Zabbey Victor
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Salt Intake ◽  
Communicable Disease ◽  
Demographic Factors ◽  
Public Health Importance ◽  
Cardiovascular Parameters ◽  
High Salt Intake ◽  
Increased Risk ◽  
Socio Demographic Factors

Hypertension is defined as a sustained elevated arterial pressure to a level that places the patient at increased risk of organ damage. It is a non-communicable disease which constitutes a public health importance. Its risk factors include advancing age, high salt intake, excessive alcohol consumption and stress. This study was performed to determine the correlation between some socio-demographic factors like gender, age, body mass index (BMI) and some cardiovascular parameters in hypertensive patients of Yenagoa, Bayelsa State, Nigeria. The study was carried out with 400 hypertensive subjects, whose blood pressures were determined using palpatory and auscultatory methods. The gender, age and body mass index of the subjects were also determined. Statistical analysis was done using Z-statistics. We found a significant positive relationship between the age and cardiovascular parameters. Gender and BMI were found to have an insignificant positive correlation with the cardiovascular parameters. The study demonstrated that body mass index, age and gender are closely associated with cardiovascular parameters, though the degree of correlation differed. The risk of hypertension is therefore expected to be higher among the aged and populations who are overweight or obese.

BODY MASS INDEX OF MARRIED BANGLADESHI WOMEN: TRENDS AND ASSOCIATION WITH SOCIO-DEMOGRAPHIC FACTORS

2012 ◽  
Vol 44 (4) ◽  
pp. 385-399 ◽  
Author(s):  
M. G. HOSSAIN ◽  
P. BHARATI ◽  
SAW AIK ◽  
PETE E. LESTREL ◽  
ALMASRI ABEER ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
First Marriage ◽  
Age At First Marriage ◽  
Socio Demographic Factors ◽  
Assist Intervention ◽  
Age Range

SummaryBody mass index (BMI) is a good indicator of nutritional status in a population. In underdeveloped countries like Bangladesh, this indicator provides a method that can assist intervention to help eradicate many preventable diseases. This study aimed to report on changes in the BMI of married Bangladeshi women who were born in the past three decades and its association with socio-demographic factors. Data for 10,115 married and currently non-pregnant Bangladeshi women were extracted from the 2007 Bangladesh Demographic and Health Survey (BDHS). The age range of the sample was 15–49 years. The mean BMI was 20.85±3.66 kg/m2, and a decreasing tendency in BMI was found among birth year cohorts from 1972 to 1992. It was found that the proportion of underweight females has been increasing in those born during the last 20 years of the study period (1972 to 1992). Body mass index increased with increasing age, education level of the woman and her husband, wealth index, age at first marriage and age at first delivery, and decreased with increasing number of ever-born children. Lower BMI was especially pronounced among women who were living in rural areas, non-Muslims, employed women, women not living with their husbands (separated) or those who had delivered at home or non-Caesarean delivery.

Body mass index of women in Bangladesh: comparing Multiple Linear Regression and Quantile Regression

2020 ◽  
pp. 1-19 ◽  
Author(s):  
Sorif Hossain ◽  
Raaj Kishore Biswas ◽  
Md Amir Hossain
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Quantile Regression ◽  
Multiple Linear Regression ◽  
Body Mass ◽  
Demographic Factors ◽  
Educational Status ◽  
The Body ◽  
Reproductive Age ◽  
Socio Demographic Factors

Abstract This study explored the association between socio-demographic factors and the body mass index (BMI) of women of reproductive age (15–49 years) in Bangladesh. Data from the 2014 Bangladesh Demographic and Health Survey (BDHS-14) were analysed using Multiple Linear Regression (MLR) and Quantile Regression (QR) analyses. The study sample comprised 15,636 non-pregnant women aged 15–49. The mean BMI of the women was 22.35±4.12 kg/m2. Over half (56.75%) had a BMI in the normal range (18<BMI<25 kg/m2), and 18.50%, 20.00% and 4.75% were underweight (BMI≤18 kg/m2), overweight (25≤BMI<30 kg/m2) and obese (BMI≥30 kg/m2), respectively. The results of the MLR found that age, wealth index, urban/rural place of residence, geographical division, womenʼs educational status, husbandʼs educational status, womenʼs working status and total number of children ever born were significantly (p<0.001) associated with respondents’ mean BMI. The QR results showed different associations between socio-demographic factors and mean BMI, as well as a different conditional distribution of mean BMI. Overall, the results indicated that women with uneducated husbands, with little or no education and from less-affluent households from rural areas tended to be more underweight compared with women in other groups. The inter-relationship between the study womenʼs mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.

scholarly journals Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1117
Author(s):  
Silvia Maffoni ◽  
Silvia Brazzo ◽  
Rachele De Giuseppe ◽  
Ginevra Biino ◽  
Ilaria Vietti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Online Survey ◽  
Negative Impact ◽  
Phase 1 ◽  
Adult Population ◽  
Lifestyle Changes ◽  
Eating Behaviours ◽  
Public Health Services ◽  
Activity Frequency

Background. COVID-19 pandemic has imposed a period of contingency measures, including total or partial lockdowns all over the world leading to several changes in lifestyle/eating behaviours. This retrospective cohort study aimed at investigating Italian adult population lifestyle changes during COVID-19 pandemic “Phase 1” lockdown (8 March–4 May 2020) and discriminate between positive and negative changes and BMI (body mass index) variations (ΔBMI). Methods. A multiple-choice web-form survey was used to collect retrospective data regarding lifestyle/eating behaviours during “Phase 1” in the Italian adult population. According to changes in lifestyle/eating behaviours, the sample was divided into three classes of changes: “negative change”, “no change”, “positive change”. For each class, correlations with ΔBMI were investigated. Results. Data were collected from 1304 subjects (973F/331M). Mean ΔBMI differed significantly (p < 0.001) between classes, and was significantly related to water intake, alcohol consumption, physical activity, frequency of “craving or snacking between meals”, dessert/sweets consumption at lunch. Conclusions. During “Phase 1”, many people faced several negative changes in lifestyle/eating behaviours with potential negative impact on health. These findings highlight that pandemic exacerbates nutritional issues and most efforts need to be done to provide nutrition counselling and public health services to support general population needs.

scholarly journals Associations between Apolipoprotein E Genotype, Diet, Body Mass Index, and Serum Lipids in Lithuanian Adult Population

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41525 ◽  
Author(s):  
Janina Petkeviciene ◽  
Alina Smalinskiene ◽  
Dalia Ieva Luksiene ◽  
Kristina Jureniene ◽  
Vitalija Ramazauskiene ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Apolipoprotein E ◽  
Body Mass ◽  
Serum Lipids ◽  
Adult Population ◽  
Apolipoprotein E Genotype

scholarly journals The Future Excess Fraction of Cancer Attributable to High Body Mass Index in Australia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 194s-194s ◽  
Author(s):  
R. Carey ◽  
R. Norman ◽  
D. Whiteman ◽  
A. Reid ◽  
R. Neale ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Significant Proportion ◽  
High Body Mass Index ◽  
Overweight And Obesity ◽  
High Body ◽  
Increased Risk ◽  
The Future ◽  
Future Burden

Background: High body mass index (BMI > 25 kg/m2) has been found to be associated with an increased risk of many cancers, including cancers of the colon and rectum, liver, and pancreas. Aim: This study aimed to estimate the future burden of cancer resulting from current levels of overweight and obesity in Australia. Methods: The future excess fraction method was used to estimate the future burden of cancer among the proportion of the Australian adult population who were overweight or obese in 2016. Calculations were conducted for 13 cancer types, including cancers of the colon, rectum, kidney, and liver. Results: The cohort of 18.7 million adult Australians in 2016 will develop ∼7.6 million cancers over their lifetime. Of these, ∼402,500 cancers (5.3%) will be attributable to current levels of overweight and obese. The majority of these will be postmenopausal breast cancers (n = 72,300), kidney cancers (n = 59,200), and colon cancers (n = 55,100). More than a quarter of future endometrial cancers (30.3%) and esophageal adenocarcinomas (35.8%) will be attributable to high body mass index. Conclusion: A significant proportion of future cancers will result from current levels of high body mass index. Our estimates are not directly comparable to past estimates of the burden from overweight and obesity because they describe different quantities - future cancers in currently exposed vs current cancers due to past exposures. The results of this study provide us with relevant up-to-date information about how many cancers in Australia could be prevented.

scholarly journals Prevalence of Obesity and Metabolic Syndrome in Adult Population of Selected Regions of the Czech Republic. Relation to Eating Habits and Smoking

2012 ◽  
Vol 113 (3) ◽  
pp. 206-216 ◽  
Author(s):  
Michala Vosátková ◽  
J. Čeřovská ◽  
H. Zamrazilová ◽  
P. Hoskovcová ◽  
M. Dvořáková ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Czech Republic ◽  
Body Mass ◽  
Eating Habits ◽  
Adult Population ◽  
Total Sample ◽  
Female Group ◽  
The Czech Republic ◽  
The Metabolic Syndrome

Prevalence of the metabolic syndrome is around 25% in Europe but its occurrence grows in both genders with increasing age and weight. Lifestyle factors may contribute to the risk of developing metabolic syndrome. The objective of this study was to determine the relationship between metabolic syndrome and eating habits as well as length of sleep and smoking. Participants (519 women and 286 men aged 18–65 years) were chosen by random selection and questioned about their eating habits, sleep length and smoking. This information was combined with anthropometric and clinical parameters of metabolic syndrome. The female group was divided into two subgroups depending on climacteric stage (before and after menopause). Metabolic syndrome prevalence does not differ between regions in neither female (29.9%) nor male (32.5%) group. Body mass index ≥25 was detected in 50.4% of all women and 65.7% of men; 23.5% of all women and 21.7% men had body mass index ≥30. In conclusion, metabolic syndrome prevalence was proved to depend on eating habits and family heredity. Positive correlation between the above mentioned factors demonstrated itself in the total sample but not in individual regions. Metabolic syndrome prevalence in Czech adults is comparable with neighbouring countries. No significant interregional differences in metabolic syndrome prevalence within the Czech Republic were detected. In conclusion, relationship between eating habits and metabolic syndrome was confirmed.

Increasing Body Mass Index Predicts Rapid Decline in Renal Function: A 5 Year Retrospective Study

2018 ◽  
Vol 50 (07) ◽  
pp. 556-561 ◽  
Author(s):  
Xiaojing Ma ◽  
Chengyin Zhang ◽  
Hong Su ◽  
Xiaojie Gong ◽  
Xianglei Kong
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Renal Function ◽  
Retrospective Study ◽  
Kidney Disease ◽  
Body Mass ◽  
Adult Population ◽  
Rapid Decline ◽  
Logistic Regression Models ◽  
Baseline Bmi

AbstractWhile obesity is a recognized risk factor for chronic kidney disease, it remains unclear whether change in body mass index (ΔBMI ) is independently associated with decline in renal function (evaluated by the change in estimated glomerular filtration rate, ΔeGFR) over time. Accordingly, to help clarify this we conducted a retrospective study to measure the association of ΔBMI with decline in renal function in Chinese adult population. A total of 4007 adults (aged 45.3±13.7 years, 68.6% male) without chronic kidney disease at baseline were enrolled between 2008 and 2013. Logistic regression models were applied to explore the relationships between baseline BMI and ΔBMI, and rapid decline in renal function (defined as the lowest quartile of ΔeGFR ). During 5 years of follow-up, the ΔBMI and ΔeGFR were 0.47±1.6 (kg/m2) and –3.0±8.8 (ml/min/1.73 m2), respectively. After adjusted for potential confounders, ΔBMI (per 1 kg/m2 increase) was independently associated with the rapid decline in renal function [with a fully adjusted OR of 1.12 (95% CI, 1.05 to 1.20). By contrast, the baseline BMI was not associated with rapid decline in renal function [OR=1.05 (95% CI, 0.98 to 1.13)]. The results were robust among 2948 hypertension-free and diabetes-free participants, the adjusted ORs of ΔBMI and baseline BMI were 1.14 (95% CI, 1.05 to 1.23) and 1.0 (95% CI, 0.96 to 1.04) for rapid decline in renal function, respectively. The study revealed that increasing ΔBMI predicts rapid decline in renal function.

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