Pathways from deprivation to health differed between individual and neighborhood-based indices

Jaarsveld, Cornelia H M van; Miles, Anne; Wardle, Jane

doi:10.1016/j.jclinepi.2006.10.005

Cited by 47 publications

(38 citation statements)

References 39 publications

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“…As reported in the literature, the most important sociodemographic factor explaining children's obesity status is parental education level, which is consistently inversely associated with children's body weight and adiposity (5,11) . Our results are Table 3 Results from logistic regression analysis to evaluate the main effect of various socio-economic and demographic characteristics of parents on the likelihood of childhood overweight/obesity, stratified by gender: nationwide sample of primary-school children aged 10-12 years, GRECO (Greek Childhood Obesity) study, October-May 2009 reflective of such a relationship, suggesting that the level of education of the father is more likely to influence beliefs, knowledge on nutrition and health behaviours of the family, which in turn are involved in weight control through better nutritional and physical activity habits of the children (5,(12)(13)(14) . Although maternal education level did not seem to influence the odds for overweight/obesity, an interesting finding of our study was that maternal profession appeared to influence the likelihood of the child being overweight/ obese at the bivariate level.…”

Section: Discussionmentioning

confidence: 99%

Socio-economic and demographic determinants of childhood obesity prevalence in Greece: the GRECO (Greek Childhood Obesity) study

Farajian

Panagiotakos

Risvas

et al. 2012

Public Health Nutr.

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Objective: Given the rapid increase in the prevalence of childhood obesity, identifying the sociodemographic influences on obesity status is important for planning and implementing effective prevention initiatives. However, this type of data is limited for Greek children. Therefore the aim of the present study was to identify possible sociodemographic factors associated with childhood obesity at the national level. Design: Cross-sectional, population-based survey, carried out from October to May 2009. Setting: Under the context of the GRECO (Greek Childhood Obesity) study, a nationwide sample of 2315 primary-school children. Subjects: Children aged 10-12 years and their parents were voluntarily enrolled. Direct anthropometric measurements of the children were obtained and information on sociodemographic characteristics of the parents, as well as their self-reported values of body weight and height, were collected. Results: Overweight and obesity prevalence was 29?5 % and 13?1 %, respectively, among boys; 29?5 % and 9?0 %, respectively, among girls. Multiple logistic regression analysis revealed that the most important sociodemographic predictors of childhood obesity were mother's age, parental BMI classification and father's type of occupation. More specifically, increased mother's age and normal BMI status of the parents seemed to have a protective effect on the likelihood of having an overweight/obese child. Additionally, the odds of a female child of being overweight/obese were reduced when the father's type of occupation tended to be less manual. Conclusions: Anti-obesity health policy interventions have to address to the parents and promote their active involvement, to effectively confront the alarming magnitude of the paediatric obesity problem in Greece.

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Section: Discussionmentioning

confidence: 99%

Socio-economic and demographic determinants of childhood obesity prevalence in Greece: the GRECO (Greek Childhood Obesity) study

Farajian

Panagiotakos

Risvas

et al. 2012

Public Health Nutr.

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“…The patterns of genetic and environmental correlations suggest that more educated people manage their environments to protect their health. 39 Besides, phenotypic heterogeneity would also be a possible limitation. The cases in this study include 3 subtypes, anencephaly, spina bifida, and encephalocele, but as the sample limits analyses specific to each NTD subtype did not get significant results, and the repeated analyses on individuals with isolated NTDs showed the effects were in the same direction as total NTDs.…”

Section: Discussionmentioning

confidence: 99%

Association Between a 45-bp 3′Untranslated Insertion/Deletion Polymorphism in Exon 8 of UCP2 Gene and Neural Tube Defects in a High-Risk Area of China

et al. 2011

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Uncoupling protein 2(UCP2) is an attractive candidate gene for screening neural tube defects (NTDs) risk. In this study, polymerase chain reaction and agarose gel electrophoresis were used to determine the distribution of the polymorphism in a case group of 140 deliveries with NTDs, and a control group of 251 normal newborns. We found that the frequencies of allele I and genotypes ID + II were higher in the case group than in the control group (P = .167, OR = 1.4, 95% CI, 0.9-2.1; P = .132, OR = 1.44, 95% CI, 0.89-2.33, respectively); and at low maternal educational level, the frequency of ID + II genotypes was significantly higher in the NTD case group (P < .05, OR = 1.7, 95% CI, 1.01-2.79). The result suggested that the polymorphism in UCP2 may be a potential genetic risk factor for NTDs in a high-risk area of China, and the association was influenced by maternal education.

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“…57 It is possible that knowledge and beliefs are more important for healthy lifestyles than are access to resources or shared values. 58 In a sample of 660 adults in the Québec Study Family, Bouchard et al 34 showed that NMB T73T homozygotes had higher %BF and were more disinhibited and susceptible to hunger (as evaluated by the Three-Factor Eating Questionnaire) than P73 allele carriers. Moreover, after an average follow-up period of 6 years, the amount of body fat gain over time in T73T subjects was greater than in P73P homozygotes.…”

Section: Discussionmentioning

confidence: 99%

Influence of maternal educational level on the association between the rs3809508 neuromedin B gene polymorphism and the risk of obesity in the HELENA study

et al. 2009

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Objective: Neuromedin B (NMB) is a bombesin-like peptide, which inhibits food intake and modulates stress-related behaviour. An NMB gene polymorphism (P73T) has been earlier associated with obesity and abnormal eating behaviour in adults. Methods: The association between four NMB polymorphisms and obesity-related phenotypes was investigated in the Healthy Lifestyle in Europe by Nutrition in Adolescence cross-sectional study (n ¼ 1144, 12-17-year-old European adolescents). This population was genotyped for the NMB rs1107179, rs17598561, rs3809508 and rs1051168 (P73T) polymorphisms. Obesity was defined according to Cole et al. (BMJ 2000; 320: 1240-1243 criteria; eating behaviour was assessed by the Eating Behaviour and Weight Problems Inventory for Children (EWI-C) and the food choices and preferences questionnaires. Familial socioeconomic status (SES) was assessed through the parents' educational level. Results: Only the genotype distribution of rs3809508 differed according to obesity status, as the TT genotype was more frequent in obese than in non-obese adolescents (8.6% vs 3.1%, P ¼ 0.05; adjusted odds ratio for obesity (95% confidence interval): 2.85 (1.11-7.31), P ¼ 0.03). Moreover, TT subjects had higher body mass index (22.8 ± 4.4 kg m -2 vs 21.3 ± 3.7 kg m -2 , P ¼ 0.02), waist circumference (75.8±9.7 cm vs 72.2±9.3 cm, P ¼ 0.006), waist-to-hip ratio (0.84±0.14 vs 0.79±0.07, Po0.0001) and waist-to-height ratio (0.47 ± 0.06 vs 0.44 ± 0.55, P ¼ 0.002) than C allele carriers. The effects of this single nucleotide polymorphism on all anthropometric values were influenced by the maternal SES, in that a low maternal educational level aggravated the phenotype of adolescents carrying the TT genotype (interactions: Po0.02). No association with EWI-C scores was found, although sweet craving was a more frequent cause of between-meal food intake in TT subjects than in C allele carriers (24.3% vs 9.2%, P ¼ 0.01). Conclusion: In European adolescents, the TT genotype of the NMB rs3809508 polymorphism was associated with a higher risk of obesity. Moreover, the effects of this polymorphism on anthropometric values were influenced by the maternal educational level.

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Pathways from deprivation to health differed between individual and neighborhood-based indices

Cited by 47 publications

References 39 publications

Socio-economic and demographic determinants of childhood obesity prevalence in Greece: the GRECO (Greek Childhood Obesity) study

Socio-economic and demographic determinants of childhood obesity prevalence in Greece: the GRECO (Greek Childhood Obesity) study

Association Between a 45-bp 3′Untranslated Insertion/Deletion Polymorphism in Exon 8 of UCP2 Gene and Neural Tube Defects in a High-Risk Area of China

Influence of maternal educational level on the association between the rs3809508 neuromedin B gene polymorphism and the risk of obesity in the HELENA study

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