Intergenerational transmission of overweight among Finnish adolescents and their parents: a 16-year follow-up study

Jääskeläinen, Anne; Pussinen, Joonas; Nuutinen, Outi; Schwab, Ursula; Pirkola, Jatta; Kolehmainen, Marjukka; Järvelin, Marjo‐Riitta; Laitinen, Jaana

doi:10.1038/ijo.2011.150

Cited by 79 publications

(80 citation statements)

References 31 publications

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“…Of these, we were able to select 8 studies that met our inclusion criteria. As one of these was an ongoing study [11] with only baseline data provided, finally, 7 studies [5,12,13,14,15,16,17] were eligible for inclusion. Figure 1 shows the process of study identification and selection.…”

Section: Resultsmentioning

confidence: 99%

Maternal and Paternal Body Mass Index and Offspring Obesity: A Systematic Review

et al. 2013

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Background/Aims: It has been hypothesized that the intrauterine environment is an independent factor in obesity development. If so, the maternal effect is likely to be a stronger influencing factor (‘fetal overnutrition hypothesis'). We aimed to systematically evaluate the associations of offspring body mass index (BMI, or adiposity) with pre-pregnancy BMI (or adiposity) of the mother and the father. Methods: The Medline, Embase and Cochrane Library databases were searched in March 2012. Results: Seven cohort studies were eligible for the analysis. Among these, 2 groups of trials presented different data from the same parent-offspring cohorts (the Avon Longitudinal Study of Parents and Children, ALSPAC, and the Mater-University Study of Pregnancy, MUSP). In total, 3 large birth cohorts and 1 additional small study were identified. Three studies provided a direct comparison of parent-offspring associations, with a statistically stronger maternal influence found only in the MUSP cohort. Equivocal results were obtained from all studies describing the ALSPAC cohort. The parental effect (indirectly estimated based on the presented odds ratio) was similar in the Finnish cohort. In 1 additional small study, maternal BMI was found to be a strong predictor of childhood obesity. Conclusions: There is only limited evidence to support the ‘fetal overnutrition hypothesis'.

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Section: Resultsmentioning

confidence: 99%

Maternal and Paternal Body Mass Index and Offspring Obesity: A Systematic Review

et al. 2013

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“…21 The clinical and environmental factors included in the models were the same except for childhood CRP that was not significantly improving the predictive accuracy of our new model and was thus excluded from the final model. Also other previous studies have highlighted the importance of childhood BMI, 33 maternal BMI 6 and family income 9 in predicting obesity in adulthood. The genetic factors included in our final model were defined by genomewide association studies.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Adulthood Obesity Using Genetic and Childhood Clinical Risk Factors in the Cardiovascular Risk in Young Finns Study

Seyednasrollah

Mäkelä

Pitkänen

et al. 2017

Circ Cardiovasc Genet

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Background— Obesity is a known risk factor for cardiovascular disease. Early prediction of obesity is essential for prevention. The aim of this study is to assess the use of childhood clinical factors and the genetic risk factors in predicting adulthood obesity using machine learning methods. Methods and Results— A total of 2262 participants from the Cardiovascular Risk in YFS (Young Finns Study) were followed up from childhood (age 3–18 years) to adulthood for 31 years. The data were divided into training (n=1625) and validation (n=637) set. The effect of known genetic risk factors (97 single-nucleotide polymorphisms) was investigated as a weighted genetic risk score of all 97 single-nucleotide polymorphisms (WGRS97) or a subset of 19 most significant single-nucleotide polymorphisms (WGRS19) using boosting machine learning technique. WGRS97 and WGRS19 were validated using external data (n=369) from BHS (Bogalusa Heart Study). WGRS19 improved the accuracy of predicting adulthood obesity in training (area under the curve [AUC=0.787 versus AUC=0.744, P <0.0001) and validation data (AUC=0.769 versus AUC=0.747, P =0.026). WGRS97 improved the accuracy in training (AUC=0.782 versus AUC=0.744, P <0.0001) but not in validation data (AUC=0.749 versus AUC=0.747, P =0.785). Higher WGRS19 associated with higher body mass index at 9 years and WGRS97 at 6 years. Replication in BHS confirmed our findings that WGRS19 and WGRS97 are associated with body mass index. Conclusions— WGRS19 improves prediction of adulthood obesity. Predictive accuracy is highest among young children (3–6 years), whereas among older children (9–18 years) the risk can be identified using childhood clinical factors. The model is helpful in screening children with high risk of developing obesity.

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“…This result is in line with the findings of other studies (39,52) . The association may be due to the intergenerational transmission of obesity (53) , as well as environmental and/ or behavioural factors, since parents play an important role in the development of their children's food preferences and energy intake (54) . Our results also indicated that higher CRP concentrations were positively associated with overweight.…”

Section: Discussionmentioning

confidence: 99%

Factors associated with stunting and overweight in Amazonian children: a population-based, cross-sectional study

Cobayashi

Augusto

Lourenço

et al. 2013

Public Health Nutr.

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Objective: To examine the prevalence of stunting and overweight in children and identify demographic, socio-economic and maternal characteristics, as well as biochemical indicators, associated with these outcomes. Design: A population-based, cross-sectional study was performed. Data from structured questionnaires, anthropometric measurements, and blood and stool samples were used in Poisson regression models to estimate prevalence ratios (PR) according to a hierarchical conceptual framework. Setting: Acrelândia, western Brazilian Amazon. Subjects: Children (n 1139) aged ,10 years. Results: Prevalence of stunting was 7?1 % (95 % CI 5?1, 9?6 %) and 3?7 % (95 % CI 2?4, 5?7 %) among children aged ,5 years and $5 years, respectively; overweight was detected in 20?6 % (95 % CI 17?4, 24?2 %) and 9?4 % (95 % CI 7?2, 12?1 %) of children aged ,5 years and $5 years, respectively. Among children ,5 years of age, stunting was positively associated with the lowest maternal height tertile (PR 5 2?16, 95 % CI 1?27, 3?68) were associated with overweight. Conclusions: Overweight was more prevalent than stunting, being associated with higher household wealth, maternal overweight, caesarean delivery, high birth weight, micronutrient deficiencies and high TAG concentration. Improvements in maternal and child health care with sustainable access to healthy food are necessary to reduce short-and long-term health complications related to overweight in this population. The prevalence of stunting (i.e. low length-or heightfor-age) from birth to 5 years has been decreasing worldwide, from 40 % in 1990 to 27 % in 2010 (1) , and this rate is expected to fall further to 22 % by 2020. In Latin American countries, for instance, the prevalence of stunting in 2010 was 13?5 % while a prevalence of 11?6 % is predicted by the year 2015(1)

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Intergenerational transmission of overweight among Finnish adolescents and their parents: a 16-year follow-up study

Cited by 79 publications

References 31 publications

Maternal and Paternal Body Mass Index and Offspring Obesity: A Systematic Review

Maternal and Paternal Body Mass Index and Offspring Obesity: A Systematic Review

Prediction of Adulthood Obesity Using Genetic and Childhood Clinical Risk Factors in the Cardiovascular Risk in Young Finns Study

Factors associated with stunting and overweight in Amazonian children: a population-based, cross-sectional study

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