scholarly journals Accounting for the multidimensional nature of the relationship between adult obesity and socio-economic status: the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07)

2011 ◽  
Vol 106 (10) ◽  
pp. 1602-1608 ◽  
Author(s):  
F. Fillol ◽  
C. Dubuisson ◽  
L. Lafay ◽  
A. Dufour ◽  
M. Bertin ◽  
...  
Keyword(s):  
Food Consumption ◽  
Economic Status ◽  
Household Wealth ◽  
Integrative Approach ◽  
Adult Obesity ◽  
Dietary Survey ◽  
Socio Economic Status ◽  
Synthetic Index ◽  
Significant Difference ◽  
The Relationship

The objective was to study the multidimensional nature of the relationship between adult obesity (OB) and socio-economic status (SES), using comprehensive indices of SES taken separately or synthesised in an overall index. A nationally representative sample of adults aged 18–79 years was taken from the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07). Weight and height were measured and OB defined as BMI ≥ 30 kg/m2. SES variables were reported in questionnaires and included occupation, education and characteristics of household wealth. Composite indices of SES (household wealth and overall SES indices) were computed by correspondence analysis, and relationships with OB were investigated with logistic regression analysis. In total, 11·8 (95 % CI 10·1, 13·4) % of French adults were obese, without significant difference by sex. While no significant relationship was observed in men, all SES indicators were inversely correlated to OB in women. Both education and the household wealth index were retained in the stepwise multivariate model, confirming that different socio-economic variables are not necessarily proxies of each other regarding the OB issue. On the other hand, ‘controlling for SES’ while including several measures of SES in multivariate models may lead to collinearity, and thus over-adjustment. A more integrative approach may be to derive a synthetic index by including the SES factors available in a given study. Beyond this methodological perspective, understanding how OB is related to the different dimensions of SES should help to target the more vulnerable groups and increase the effectiveness of prevention.

Socio-economic factors and the sex ratio at birth

1971 ◽  
Vol 3 (1) ◽  
pp. 23-42 ◽  
Author(s):  
Michael S. Teitelbaum ◽  
Nathan Mantel
Keyword(s):  
Sex Ratio ◽  
Birth Order ◽  
Economic Status ◽  
Economic Effect ◽  
Economic Variables ◽  
Socio Economic Status ◽  
Significant Difference ◽  
Study Population ◽  
Socio Economic Variables ◽  
The Relationship

Using a large special study population and refined indicators of socio-economic status, the relationship of the live birth sex ratio to socio economic variables is examined. The analyses provide control for the possible confounding effects of race and birth order.The sex ratio is shown to be significantly and positively associated with socio-economic variables. The relationship is not linear, however, but instead is characterized by an apparent ‘diminishing returns’ curve. The major increase in sex ratio is detected as socio-economic status increases from low to moderate. No significant change occurs between moderate and higher socio-economic levels.Even after controlling for the significant socio-economic effect, the analyses detect a significant difference between the sex ratios of Whites on the one hand and Negroes and Puerto Ricans on the other.No significant association between birth order and the sex ratio can be detected in the study population.

Life Satisfaction Depending on Socio-Economic Status and Gender among Turkish Students

2009 ◽  
Vol 7 (4) ◽  
pp. 379-386 ◽  
Author(s):  
Susran Erkan Eroğlu ◽  
Hasan Bozgeyikli ◽  
Vahit Çalişir
Keyword(s):  
Life Satisfaction ◽  
Sampling Method ◽  
Economic Status ◽  
Survey Method ◽  
Socio Economic Status ◽  
Significant Difference ◽  
Turkish People ◽  
Research Findings ◽  
And Gender ◽  
The Relationship

This research was carried out using the survey method in an attempt to find out the relationship between the life satisfaction and socio-economic status (SES) of adolescents. The research was conducted among 275 young Turkish people chosen by the random sampling method. The research findings determined that there was a significant difference between the life satisfaction and SES of the respondent students. On the other hand, contrary to expectations, there was no significant difference according to the gender variable.

scholarly journals Socio-Economic Status and Intelligence Quotient of primary school-aged children with asthma

2019 ◽  
Vol 6 (10) ◽  
pp. 257-262
Author(s):  
Obinna Chukwuebuka Nduagubam
Keyword(s):  
Primary School ◽  
Intelligence Quotient ◽  
Economic Status ◽  
Primary School Children ◽  
Economic Class ◽  
Socio Economic Status ◽  
Significant Difference ◽  
Children With Asthma ◽  
Nigeria Teaching Hospital ◽  
The Relationship

Objective:   Intelligence Quotient is said to be more variable in childhood and is thought to be influenced by the socio-economic status of the families of children. This aim of this study was to determine the relationship between socio-economic class and Intelligence Quotient (IQ) of primary school children with asthma and to compare with those of children without. Material and Methods: One hundred and twenty children with asthma (subjects) aged 5 – 11 years were consecutively recruited at the asthma clinic of University of Nigeria Teaching Hospital Ituku/Ozalla, Enugu State, Nigeria and their age- , sex and socio-economic class (SEC) - matched normal classmates were enrolled as controls from their schools. Their SEC was obtained using the tool described by Oyedeji while their academic performance was obtained from their schools using their scores over an academic session. Their Intelligence Quotient (IQ) was determined using the Draw-A-Person- test. The relationship between SEC and Intelligence Quotient of children with asthma was determined and was compared with that of the 120 controls. Results: There was no significant difference between the IQ of the Subjects and Control in the different Socio-economic Classes. IQ has no significant correlation (Spearman’s) with SEC in both Subjects (r = 0.115; p = 0.21) and Controls (r = 0.082; p = 0.38). No significant difference exists in the IQ of children with asthma across the different socio-economic classes. Conclusion: The IQ of children with asthma is not influenced by their Socio-Economic status.

scholarly journals Study Habits of Secondary School Students in Relation to their Socio-Economic Status and Gender

2015 ◽  
Vol 2 (1) ◽  
pp. 68-73 ◽  
Author(s):  
B. Razia
Keyword(s):  
Secondary School ◽  
Secondary School Students ◽  
Economic Status ◽  
Study Habits ◽  
School Students ◽  
Socio Economic Status ◽  
Significant Difference ◽  
And Gender ◽  
Relationship Of ◽  
The Relationship

The study aims to explore the relationship of study habits with socio-economic status and gender. The research was carried out on a sample of 224 students studying in class IX of Aligarh district. Standardized scales were used to collect the data which in turn was analyzed by applying Mean (M), Standard Deviation (SD), Product moment correlation (r), t-test and ANOVA. Findings revealed that significant difference exists in the study habits of students in relation to gender. Significant and positive relationship exists between study habits and Socio-economic status but interaction effect of gender and SES was not found on study habits. Finally the study puts forth some suggestions to enhance the study habits of secondary school students.DOI: http://dx.doi.org/10.3126/ijssm.v2i1.11815      Int. J. Soc. Sci. Manage. Vol-2, issue-1: 68-73 

Poverty and Threat Reactivity

2021 ◽  
Author(s):  
Lou Safra ◽  
Coralie Chevallier ◽  
Amine Sijilmassi
Keyword(s):  
Economic Status ◽  
Correlational Study ◽  
Socio Economic Status ◽  
The Relationship

A correlational study to test the relationship between socio-economic status and reactivity to threats.

ECP02-01 - Globalisation and the impact of economic factors on psychiatric disorders

2011 ◽  
Vol 26 (S2) ◽  
pp. 1795-1795
Author(s):  
D. Bhugra
Keyword(s):  
Mental Health ◽  
Cultural Identity ◽  
Economic Status ◽  
Psychiatric Morbidity ◽  
Economic Factors ◽  
Socio Economic Status ◽  
Level Of Economic Development ◽  
Migration Experiences ◽  
The Impact ◽  
The Relationship

IntroductionWith the process of globalisation in full flow, the movement of people and products across the globe has brought a series of difficulties. With migration the socio-economic status of the individuals may change with the likelihood that this status will be lower rather than higher, although depending upon the reasons for migration this may change too.ObjectivesLiterature shows that low socio-economic status is associated with a higher level of psychiatric morbidity.AimsWhether migration acts as a mediator needs to be investigated further.MethodsVarious studies have shown that rates of psychosis are elevated in migrants though these rates are differentially increased in different groups indicating that factors other than migration may be at play.ResultsIn this presentation the literature and link the acculturation and cultural identity with post-migration experiences will be reviewed.ConclusionA link exists between the perceptions within cultures and level of economic development of what constitutes mental health. The state of advancement of mental health services of a country will certainly have a large impact on prevalence rates. Further investigation should be carried out to examine in greater depth the relationship between social inequality and disorder prevalence, as distinct from income inequality.

scholarly journals Healthy dietary habits in relation to social determinants and lifestyle factors

1999 ◽  
Vol 81 (3) ◽  
pp. 211-220 ◽  
Author(s):  
Lars Johansson ◽  
Dag S. Thelle ◽  
Kari Solvoll ◽  
Gunn-Elin Aa. Bjørneboe ◽  
Christian A. Drevon
Keyword(s):  
Social Status ◽  
Fruits And Vegetables ◽  
Dietary Habits ◽  
Economic Status ◽  
Multiple Regression Model ◽  
Healthy Diet ◽  
Dietary Survey ◽  
Food Frequency ◽  
Men And Women ◽  
Socio Economic Status

The aim of the present study was to evaluate the importance of social status and lifestyle for dietary habits, since these factors may influence life expectancy. We studied the association of four indicators for healthy dietary habits (fruits and vegetables, fibre, fat and Hegsted score) with sex, age, socio-economic status, education, physical leisure exercise, smoking and personal attention paid to keeping a healthy diet. Data were gathered with a self-administered quantitative food-frequency questionnaire distributed to a representative sample of Norwegian men and women aged 16–79 years in a national dietary survey, of whom 3144 subjects (63%) responded. Age and female sex were positively associated with indicators for healthy dietary habits. By separate evaluation length of education, regular physical leisure exercise and degree of attention paid to keeping a healthy diet were positively associated with all four indicators for healthy dietary habits in both sexes. Socio-economic status, location of residence and smoking habits were associated with from one to three indicators for healthy dietary habits. In a multiple regression model, age, education and location of residence together explained from 1 to 9% of the variation (R2) in the four dietary indicators. Length of education was significantly associated with three of four dietary indicators both among men and women. By including the variable ‘attention paid to keeping a healthy diet’ in the model, R2 increased to between 4 and 15% for the four dietary indicators. Length of education remained correlated to three dietary indicators among women, and one indicator among men, after adjusting for attention to healthy diet, age and location of residence. Residence in cities remained correlated to two indicators among men, but none among women, after adjusting for age, education and attention to healthy diet. In conclusion, education was associated with indicators of a healthy diet. Attention to healthy diet showed the strongest and most consistent association with all four indicators for healthy dietary habits in both sexes. This suggests that personal preferences may be just as important for having a healthy diet as social status determinants.

scholarly journals The Roots of the Obesity Boom. The Relationship Between Overweight and Educational Level Among Dutch Men, 1950–1979

2021 ◽  
Vol 10 ◽  
pp. 124-129
Author(s):  
Björn Quanjer ◽  
Kristina Thompson
Keyword(s):  
Educational Level ◽  
Tertiary Education ◽  
Economic Status ◽  
Historical Cohort ◽  
Lower Educational Level ◽  
Highly Educated ◽  
Socio Economic Status ◽  
Economic Background ◽  
Prevalence Of Obesity ◽  
The Relationship

While in modern, high-income populations, obesity is associated with being from a low socio-economic background, this may not have always been the case. We test the relationship between obesity and educational level (as a proxy for socio-economic status) in a historical cohort of Dutch military conscripts, from the conscription years 1950–1979. We find that in the 1950s cohort, being in tertiary education was significantly associated with an increased likelihood of being overweight. In contrast, in the 1970s cohort, being in tertiary education was significantly associated with a decreased likelihood of being overweight. We find evidence that the prevalence of obesity remained broadly similar among more highly educated men, while it increased among men of a lower educational level. This likely contributed to the overall rise in the obesity rate. Our findings echo other studies that find a crossover in education’s relationship to BMI as populations become wealthier and obesity rates rise.

scholarly journals Curiosity among School going Students

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Dr. Shashi Kala Singh
Keyword(s):  
Economic Status ◽  
Rural Students ◽  
Place Of Residence ◽  
F Test ◽  
Socio Economic Status ◽  
Significant Difference ◽  
Test Result

Aim of the present research was to find out the curiosity among school going students as related to gender, socio-economic status and place of residence. Participants were 200 children (100 boys and 100 girls) from different schools of Ranchi town. The scale used was Children’s Curiosity Scale developed by Kumar (1992). Data were analysis by F test. Result showed that there was no significant difference between boys and girls students on curiosity. There was significant difference between curiosities of high and low socio-economic status students. There was no significant difference between urban and rural students.

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