scholarly journals Within country differences of the association between parity and overnutrition in Peruvian women

2014 ◽  
Author(s):  
Julio A. Poterico ◽  
Carlos A. Huayanay-Espinoza ◽  
Rodrigo Carrillo-Larco ◽  
J. Jaime Miranda
Keyword(s):  
Socioeconomic Status ◽  
Rural Areas ◽  
Positive Association ◽  
Wealth Index ◽  
Overweight And Obesity ◽  
The Body ◽  
Outcome Variable ◽  
Place Of Residence ◽  
Significance Level ◽  
The Relationship

Background: Evidence denotes a direct association between parity and overnutrition in developing societies. This work aims to assess the relationship between them in Peruvian women, and to investigate whether this association varies by place of residence and socioeconomic status. Methods: We used secondary data from the National Health and Demographic Survey 2011 of Peru (ENDES 2011). Parity was the independent variable, defined as the number of children ever born to a woman. The outcome variable was the body mass index (BMI), with cut-off points of 25-30 kg/m2 and ≥30 kg/m2, for overweight and obesity; respectively. We included other variables due to their potential confounding or modification effect, such as: age, place of residence, wealth index, education, and frequency of watching television. We used a significance level of 5%. Results: We analyzed information of 18262 women. The mean BMI was 25.9 Kg/m2 (SD±4.6). The overall prevalence of obesity and overweight was of 17.2% and 35.0%, respectively. Rural and urban women reported having had 2.5 (95%CI: 2.4-2.6) and 1.5 (95%CI: 1.4-1.5) ever born children, respectively. We found a positive association between parity and overnutrition, and identified the effect modification of place of residence and wealth. The relationship between parity with overweight or obesity was stronger in urban than in rural areas. Women in the bottom and top groups of wealth index showed stronger associations than the other categories of socioeconomic status. Conclusion: Our findings suggest that the more childbirths a woman has, the more likely she is of being overweight or obese. This relationship varies by socioeconomic status and area of residence. Identification of increased BMI in women, especially after the first childbirth, should be evaluated in primary care to establish adequate public health policies to tackle obesity in Peruvian women.

scholarly journals Within country differences of the association between parity and overnutrition in Peruvian women

2014 ◽  
Author(s):  
Julio A. Poterico ◽  
Carlos A. Huayanay-Espinoza ◽  
Rodrigo Carrillo-Larco ◽  
J. Jaime Miranda
Keyword(s):  
Socioeconomic Status ◽  
Rural Areas ◽  
Positive Association ◽  
Wealth Index ◽  
Overweight And Obesity ◽  
The Body ◽  
Outcome Variable ◽  
Place Of Residence ◽  
Significance Level ◽  
The Relationship

Background: Evidence denotes a direct association between parity and overnutrition in developing societies. This work aims to assess the relationship between them in Peruvian women, and to investigate whether this association varies by place of residence and socioeconomic status. Methods: We used secondary data from the National Health and Demographic Survey 2011 of Peru (ENDES 2011). Parity was the independent variable, defined as the number of children ever born to a woman. The outcome variable was the body mass index (BMI), with cut-off points of 25-30 kg/m2 and ≥30 kg/m2, for overweight and obesity; respectively. We included other variables due to their potential confounding or modification effect, such as: age, place of residence, wealth index, education, and frequency of watching television. We used a significance level of 5%. Results: We analyzed information of 18262 women. The mean BMI was 25.9 Kg/m2 (SD±4.6). The overall prevalence of obesity and overweight was of 17.2% and 35.0%, respectively. Rural and urban women reported having had 2.5 (95%CI: 2.4-2.6) and 1.5 (95%CI: 1.4-1.5) ever born children, respectively. We found a positive association between parity and overnutrition, and identified the effect modification of place of residence and wealth. The relationship between parity with overweight or obesity was stronger in urban than in rural areas. Women in the bottom and top groups of wealth index showed stronger associations than the other categories of socioeconomic status. Conclusion: Our findings suggest that the more childbirths a woman has, the more likely she is of being overweight or obese. This relationship varies by socioeconomic status and area of residence. Identification of increased BMI in women, especially after the first childbirth, should be evaluated in primary care to establish adequate public health policies to tackle obesity in Peruvian women.

scholarly journals Religion and Weight Status in Nigeria: Analysis from the Nigeria Demographic and Health Survey

2020 ◽  
pp. 111-119
Author(s):  
Omololu Fagunwa
Keyword(s):  
Weight Status ◽  
Religious Affiliation ◽  
Wealth Index ◽  
Northern Region ◽  
Overweight And Obesity ◽  
The Body ◽  
Demographic And Health Surveys ◽  
Obese Women ◽  
African Countries ◽  
The Relationship

Obesity, the excessive accumulation of fat in the body is a global concern with major health, economic and psychosocial consequences. Nutrition and weight status are important in health and wellbeing. While the effects of undernutrition are well known and are been addressed, data are scarce on the relationship between weight status and religion in African countries. To investigate the relationship between religious affiliation and weight status in the general Nigeria population, dataset from the Nigeria Demographic and Health Surveys (NDHS) were quantitatively analysed using IBM SPSS Statistics 22. The analysis shows that religious affiliation, wealth index, age, education and residence type affect the distribution of overweight and obesity among Nigeria women age 20-49 years. Women in southern Nigeria are more overweight and obese compare to those of the northern region. There were more overweight and obese women among Christians (24.3% and 10.7%) than other religions (14.0% and 6.0%) respectively. The prevalence of obesity is increasing in Nigeria. Faith leaders and faith-based organisations may be involved in the strategic plan and implementation plan on obesity and other non-communicable diseases.

scholarly journals Trends, prevalence and risk factors of overweight and obesity among women of reproductive age in Bangladesh: a pooled analysis of five national cross-sectional surveys

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e018468 ◽  
Author(s):  
Muhammad Abdul Baker Chowdhury ◽  
Md Mohiuddin Adnan ◽  
Md Zakiul Hassan
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Low Cost ◽  
Wealth Index ◽  
Overweight And Obesity ◽  
Reproductive Age ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Women Of Reproductive Age ◽  
Cross Sectional

ObjectiveTo determine the trends, prevalence and risk factors of overweight and obesity among Bangladeshi women of reproductive age from 1999 to 2014.DesignWe analysed nationally representative data from the 1999, 2004, 2007, 2011 and 2014 cross-sectional Bangladesh Demographic and Health Surveys.SettingBangladesh.ParticipantsWomen aged 15–49 years.Primary outcomeOverweight/obesity.ResultsA total of 58 192 women were included in the analysis. The prevalence of overweight and obesity among women of reproductive age increased significantly from 7.53% (95% CI 6.83 to 8.29) and 1.82% (95% CI 1.48 to 2.24) in 1999 to 28.37% (95% CI 27.49 to 29.28) and 10.77% (95% CI 10.22 to 11.35) in 2014, respectively. Age, education, wealth index, watching television and contraceptive use were associated with overweight and obesity in both urban and rural areas.ConclusionsOverweight and obesity prevalence increased significantly among Bangladeshi women of reproductive age between 1999 and 2014. Development of effective low-cost strategies to address the increasing burden of obesity should be a high priority.

scholarly journals Socio-economic inequalities in the association between alcohol use disorder and depressive disorder among Thai adults: a population-based study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sawitri Assanangkornchai ◽  
Jiraluck Nontarak ◽  
Wichai Aekplakorn ◽  
Suwat Chariyalertsak ◽  
Pattapong Kessomboon ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Depressive Disorder ◽  
Rural Areas ◽  
Urban Areas ◽  
Alcohol Use Disorder ◽  
Multinomial Logistic Regression ◽  
Wealth Index ◽  
Outcome Variable ◽  
Health Examination ◽  
Major Depressive

Abstract Background Previous evidence indicates significant associations between depressive disorders and alcohol use disorder (AUD) and their strong links with social conditions. This study aims to investigate the association between major depressive episode (MDE) and AUD across various socio-economic groups. Methods We analysed data from the 2014 Thai National Health Examination Survey containing a random sample of 13,177 adults aged > 20 years from the general population. The Alcohol Use Disorder Identification Test was used to classify respondents into non-problem drinking (score 0–7), hazardous drinking (score 8–15), and harmful-dependent drinking (score 16–40). MDE was identified using questions based on the DSM-IV. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were calculated using multinomial logistic regression to determine the strength of associations between MDE as a predictor and AUD as an outcome variable across different socio-economic levels. Results The prevalence of MDE, hazardous, and harmful-dependent drinking was 2.5, 10.3, and 1.9%, respectively. The association between MDE and AUD was modified by wealth index, education level and area of residence. AORs for the association between MDE and harmful-dependent drinking were high among those in the highest (AOR = 8.68, 95% CI: 5.34, 14.11) and lowest (AOR = 7.14, 95% CI: 3.71, 13.73) levels of wealth index but not significant among those in the middle level (AOR = 1.78, 95% CI: 0.74, 4.25). Education had the strongest effect on the relationship between MDE and harmful-dependent drinking (AOR = 16.0, 95% CI: 10.30, 24.90 among those completing secondary school or higher and AOR = 1.44, 95% CI: 0.63, 3.33 among those completing primary school only). The association between MDE and harmful-dependent drinking was higher among people who lived in urban areas (AOR = 8.50, 95% CI: 5.50, 13.13) compared to those living in rural areas (AOR = 4.73, 95% CI: 3.31, 6.77). Conclusion Socio-economic factors modify the association between alcohol use disorder and major depressive disorder among Thai people.

scholarly journals Overweight and obesity in preschoolers: Prevalence and relation to food consumption

2017 ◽  
Vol 63 (2) ◽  
pp. 124-133 ◽  
Author(s):  
Aretha Matos de Araujo ◽  
Socorro Adriana de Sousa Meneses Brandão ◽  
Marcos Antônio da Mota Araújo ◽  
Karoline de Macêdo Gonçalves Frota ◽  
Regilda Saraiva dos Reis Moreira-Araujo
Keyword(s):  
Food Consumption ◽  
Dairy Products ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
The Body ◽  
Chocolate Milk ◽  
Obesity Prevalence ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Significance Level

Summary Objective: To determine overweight and obesity prevalence in preschool children from public education, and to determine their relation to food consumption. Method: Cross-sectional study with children aged between 2 and 5 years, of both sexes, enrolled at municipal day care centers. Socioeconomic, demographic and anthropometric data were collected, in order to calculate the body mass index (BMI) for age. Data on food consumption were assessed using a Food Frequency Questionnaire. χ2 test, Kruskal-Wallis test, Student's t-test and Pearson's correlation were used at a significance level of 5%. Results: Of 548 children, 52% were male, with mean age of 4.2 years old. Most families had incomes between 1 and 2 minimum wages (59.7%), in addition to 10 years (mothers) of education. Anthropometric parameters did not differ significantly between sexes. According to the BMI-for-age, it was found that most of children were well-nourished (85.2%), 8.2% had the risk of becoming overweight, and 4.2% were overweight. The most consumed foods were: rice (100%), beans (99.4%), bread (98.5%), fruit (98.5%), red meat (97.1%), butter and margarine (95.4%), biscuits, cakes and sweet pies (94.1%), dairy products (94.1%), chocolate milk (91.7%), and soft drinks (90.2%). Consumed foods that were strongly correlated (r > 0.7) to the risk of/excess weight were, as follows: bread; biscuits, cakes, sweet pies; dairy products; chocolate milk; sausages. Conclusion: There was low prevalence of overweight and absence of obesity among the population assessed. The risk of overweight was greater among girls. Data from the study showed deviations in food consumption.

scholarly journals Relação entre duas equações do índice de massa corporal em mulheres / Relationship between two equations of the body mass index in women

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
William Cordeiro de Souza ◽  
André De Camargo Smolarek ◽  
Denise Barth Rebesco ◽  
Marcos Tadeu Grzelczak ◽  
Valderi Abreu de Lima ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Anthropometric Measures ◽  
Significance Level ◽  
The Relationship

Objetivo: Relacionar duas equações do método antropométrico do Índice de Massa Corporal (IMC) proposto por Quételet e Trefethen em mulheres. Métodos: A amostra foi constituída por 222 mulheres do município de Canoinhas/SC, com idades entre 18 e 49 anos. Para as medidas antropométricas foi avaliada a massa corporal e a estatura. Por meio dos dados obtidos foi calculado o IMC utilizando às fórmulas: Quételet= (kg/m2) e Trefethen= (1,3*kg/m2,5). Na análise dos dados realizou-se a estatística descritiva, o fator de correlação de Pearson (r) foi realizado para verificar a relação entre os métodos e o teste de Bland-Altman foi utilizado para verificar a concordância entre as equações. Foi adotado um nível de significância de p<0,05. Resultados: Foi encontrada uma relação muito forte e significante (r= 0,98; p= <0,001) com intervalo de confiança (IC 95% = 0,93-0,99) e concordância entre as equações do IMC. Conclusão: A equação do IMC de Trefethen apresentou associação muito forte e significante com a equação IMC de Quételet em mulheres.AbstractObjective: To relate two equations of the anthropometric method of the Body Mass Index (BMI) proposed by Quételet and Trefethen in women. Methods: The sample consisted of 222 women from the municipality of Canoinhas/SC, aged between 18 and 49 years. For the anthropometric measures body mass and height were evaluated. By means of the data obtained, the BMI was calculated using the formulas: Quételet= (kg/m2) and Trefethen= (1,3*kg/m2,5). In the data analysis, descriptive statistics were performed, the Pearson correlation coefficient (r) was performed to verify the relationship between the methods and the Bland-Altman test was used to verify the concordance between the equations. A significance level of p <0.05 was adopted. Results: A very strong and significant relationship was found (r= 0.98, p= <0.001) with a confidence interval (95% CI= 0.93-0.99) and concordance between the BMI equations. Conclusion: The BMI equation of Trefethen showed a very strong and significant association with the BMI equation of Quételet in women.

scholarly journals Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maxime Luiggi ◽  
Olivier Rey ◽  
Maxime Travert ◽  
Jean Griffet
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Information Criterion ◽  
Overweight And Obesity ◽  
The Body ◽  
Obesity Risk ◽  
School Based ◽  
Logistic Regressions ◽  
Socioeconomic Composition ◽  
Overweight Or Obesity

Abstract Background The main objective of this study was to investigate the interaction effect of school socioeconomic composition (SEC) and adolescent socioeconomic status (SES) in the prevalence of overweight and obesity among a representative sample of French adolescents of the third most populous département of France. Methods 1038 adolescents agreed to participate (response rate: 91.4%). They self-reported anthropomorphic variables, SES, school lunch and physical activity. The body mass index was divided into six categories according to the Center for Disease Control. Multivariable binary logistic regressions analysis without and with interaction term were performed on overweight or obesity. Models fit was compared using the Aikaike Information Criterion. Odds-ratios (OR) and their 95% accelerated-bootstrap confidence interval (95%BCa CI) were computed to estimate overweight or obesity risk. Results 8.9% of the adolescents were overweight. 3.4% were obese. No school-SEC effect was observed among low-SES adolescents. Medium-SES adolescents were at greater risk in low-SEC (OR = 10.75, 95%BCa CI = 2.67–64.57) and medium-SEC (OR = 5.08, 95%BCa CI = 1.55–24.84) compared with high-SEC schools. High-SES adolescents in low-SEC schools were at greater risk compared with those in medium-SEC (OR = 5.94, 95%BCa CI = 1.94–17.29) and high-SEC schools (OR = 4.99, 95%BCa CI = 1.71–13.14). A social gradient was observed in medium-SEC (ORlow/high = 2.79, 95%BCa CI = 1.22–7.41) and high-SEC (ORlow/medium = 6.86, 95%BCa CI = 1.06–5.22*106) schools. Conclusions Physical activity and lunch at and outside school help to understand these differences. Implications for obesity prevention initiatives are discussed.

scholarly journals Relationship between Anthropometric Parameters and Lipid Profiles in University Students from Popayán (Cauca, Colombia)

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Nancy Janneth Molano-Tobar ◽  
Andres Felipe Villaquiran Hurtado ◽  
María del Mar Meza-Cabrera
Keyword(s):  
Waist Circumference ◽  
University Students ◽  
Lipid Profile ◽  
Total Cholesterol ◽  
Lipid Profiles ◽  
Overweight And Obesity ◽  
The Body ◽  
Anthropometric Parameters ◽  
Sample Distribution ◽  
The Relationship

Introduction: Overweight and obesity are pathologies that are increasing every day. This study was aimed to determine the relationship between anthropometric variables and lipid profiles in a sample of young university students, which leads to taking future prevention actions. Materials and Methods: A descriptive correlational study was conducted with a sample of 182 university students (88 women and 94 men), whose anthropometric variables and lipid profiles were evaluated. Data were analyzed using the SPSS Statistics 20 software. The sample distribution was analyzed using the Kolmogorov-Smirnov normality test. Results were expressed as mean ± standard deviation or percentage, as applicable. Significance was established under the Pearson’s correlation coefficient with p ≤0.05 value. Partial correlations were used to evaluate the relationship between each of the anthropometric risk indices and lipid profile values. Results: 46.7% of the population were overweight classifies as low-risk for waist circumference (45.1%), finding that the body adiposity index was healthy for their age in 64.5% of the participants. As for lipid profile, normal values for triglycerides were found in 60.4% of the participants and optimal values for total cholesterol in 56%. Correlational analysis with a significance of p≤0.005 was positive for gender with anthropometric variables such as Body Mass Index and waist circumference. Discussion: Anthropometric characteristics are closely related to the lipid profile behavior, as shown in this study, and the different research studies conducted with university students. Conclusions: Anthropometric variables are positively related to the gender of university students, finding an association between total cholesterol and triglycerides, which indicates a health risk factor. How to cite this article: Molano-Tobar Nancy Janneth, Villaquiran-Hurtado Andrés Felipe, Meza-Cabrera María del Mar. Relationship between Anthropometric Parameters and Lipid Profiles in University Students from Popayán (Cauca, Colombia). Revista Cuidarte. 2020; 11(2): e1079. http://dx.doi.org/10.15649/cuidarte.1079

scholarly journals Socio-economic inequalities in the association between alcohol-use disorder and depressive disorder among Thai adults: a population-based study

2020 ◽  
Author(s):  
Sawitri Assanangkornchai ◽  
Jiraluck Nontarak ◽  
Wichai Aekplakorn ◽  
Suwat Chariyalertsak ◽  
Pattapong Kessomboon ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Depressive Disorder ◽  
Rural Areas ◽  
Urban Areas ◽  
Alcohol Use Disorder ◽  
Multinomial Logistic Regression ◽  
Wealth Index ◽  
Outcome Variable ◽  
Health Examination ◽  
Major Depressive

Abstract Background: Previous evidence indicates significant associations between depressive disorders and alcohol use disorder (AUD) and their strong links with social conditions. This study aims to investigate the association between major depressive episode (MDE) and AUD across various socio-economic groups.Methods: We analysed data from the 2014 Thai National Health Examination Survey containing a random sample of 13,177 adults aged >20 years from the general population. The Alcohol Use Disorder Identification Test was used to classify respondents into non-problem drinking (score 0-7), hazardous drinking (score 8-15), and harmful-dependent drinking (score 16-40). MDE was identified using questions based on the DSM-IV. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were calculated using multinomial logistic regression to determine the strength of associations between MDE as a predictor and AUD as an outcome variable across different socio-economic levels.Results: The prevalence of MDE, hazardous, and harmful-dependent drinking was 2.5%, 10.3%, and 1.9%, respectively. The association between MDE and AUD was modified by wealth index, education level and area of residence. AORs for the association between MDE and harmful-dependent drinking were high among those in the highest (AOR=8.68, 95% CI: 5.34, 14.11) and lowest (AOR=7.14, 95% CI: 3.71, 13.73) levels of wealth index but not significant among those in the middle level (AOR=1.78, 95% CI: 0.74, 4.25). Education had the strongest effect on the relationship between MDE and harmful-dependent drinking (AOR=16.0, 95% CI: 10.30, 24.90 among those completing secondary school or higher and AOR=1.44, 95% CI: 0.63, 3.33 among those completing primary school only). The association between MDE and harmful-dependent drinking was higher among people who lived in urban areas (AOR=8.50, 95% CI: 5.50, 13.13) compared to those living in rural areas (AOR=4.73, 95% CI: 3.31, 6.77).Conclusion: Socio-economic factors modify the association between alcohol use disorder and major depressive disorder among Thai people.

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