Within-Family Obesity Associations

Pachucki, Mark C.; Lovenheim, Michael; Harding, Matthew

doi:10.1016/j.amepre.2014.05.018

Cited by 44 publications

(21 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…24 The association between history of sibling obesity and overweight/obesity is statistically significant (p=0.009) which is similar to a study done by Pachucki in America . 25 In our study the association between family h/o obesity and overweight/obesity was found to be statistically significant (p=0.0001), which is similar to a study done by Van der Sande in Gambia which reported that family history of obesity was strongly associated with obesity. 26 In our study the association between known case of thyroid disorder and overweight/obesity was found to be statistically significant (p=0.003).…”

Section: Discussionsupporting

confidence: 90%

Evaluation of obesity and its risk factors among rural adults in Tamil Nadu, India

Karthik¹,

Gopalakrishnan²

2018

Int J Community Med Public Health

View full text Add to dashboard Cite

Background: Obesity is a largely emerging multi-factorial non-communicable disease, which is caused due to accumulation of fat cells either by an increase in the size or number. World over, obesity has been proven to be the leading cause for several non-communicable diseases like diabetes, hypertension, cancer, etc. This study was done to evaluate the prevalence and risk factors of obesity in a rural population of Tamil Nadu.Methods: This cross sectional study was carried out among 600 adults residing in Sripuram, a rural field practice area of our medical college. Data was collected by systematic random sampling method, using a structured questionnaire, to assess the socio-demographic characteristics, anthropometry and physical examination findings. Body Mass Index was calculated and classified as per WHO classification for Asians. SPSS Software Version 17 was used to analyze the data.Results: Among the 600 total study subjects, 317 subjects (52.8%) were males and 283 subjects (47.2%) were females. The age distribution among the study population ranged between 20-60 years. Prevalence of overweight (BMI>23) was 25.3% and prevalence of obesity (BMI>25) was 25.5%. About 11.5% of the study subjects were underweight (BMI>18.5) and 37.7% of the study population had normal weight. Sibling obesity and presence of thyroid disorders were significantly associated with the risk of overweight and obesity.Conclusions: This study highlights the need for periodic screening to detect obesity at its incipient stages. It is pertinent that awareness is created periodically to modify the diet and lifestyle risk factors in order to prevent further complications of obesity.

show abstract

Section: Discussionsupporting

confidence: 90%

Evaluation of obesity and its risk factors among rural adults in Tamil Nadu, India

Karthik¹,

Gopalakrishnan²

2018

Int J Community Med Public Health

View full text Add to dashboard Cite

show abstract

“…However, evidence shows that physical activity has a strong heritable component during adolescence34, 35 and that family‐level characteristics play a more important role in determining children's sedentary time compared with school‐level characteristics 36. There is also a strong correlation in childhood adiposity among siblings, and having an obese elder sibling is associated with a 5‐fold increase in obesity in the younger sibling; the similarity is even greater among siblings of the same sex 37, 38…”

Section: Discussionmentioning

confidence: 99%

Age at Menarche and Cardiometabolic Health: A Sibling Analysis in the Scottish Family Health Study

Magnus

Lawlor

Iliodromiti

et al. 2018

JAHA

View full text Add to dashboard Cite

BackgroundPrevious studies of age at menarche and cardiometabolic health report conflicting findings, and only a few could account for childhood characteristics. We aimed to estimate the associations of age at menarche with cardiovascular risk factors in unrelated women and within sister groups, under the assumption that within‐sibship estimates will be better adjusted for shared genetics and early life environment.Methods and ResultsOur study included 7770 women, from 5984 sibships, participating in the GS:SFHS (Generation Scotland: Scottish Family Health Study). We used fixed‐ and between‐effects linear regression to estimate the associations within sister groups and between unrelated individuals, respectively. Within sibships, the mean difference between sisters with early menarche (≤11 years) and sisters with menarche at 12 to 13 years was 1.73 mm Hg (95% confidence interval [CI], −0.41 to 3.86) for systolic blood pressure, 1.26 mm Hg (95% CI, −0.02 to 2.55) for diastolic blood pressure, −0.06 nmol/L (95% CI, −0.11 to −0.02) for high‐density lipoprotein, 0.20 nmol/L (95% CI, 0.08–0.32) for non–high‐density lipoprotein, −0.34% (95% CI, −1.98 to 1.30) for glucose, 1.60 kg/m2 (95% CI, 0.92–2.28) for body mass index, and 2.75 cm (95% CI, 1.06–4.44) for waist circumference. There was weak evidence of associations between later menarche (14–15 or ≥16 years) and lower body mass index, waist circumference, and blood pressure. We found no strong evidence that estimates from within‐ and between‐sibship analyses differed (all P values >0.1). The associations with other cardiovascular risk factors were attenuated after adjustment for adult body mass index.ConclusionsOur results suggest that confounding by shared familial characteristics is unlikely to be a major driver of the association between early menarche and adverse cardiometabolic health but do not exclude confounding by individual‐level characteristics.

show abstract

“…First, the key anthropometric measurements of the present study (i.e., weight and height or length) are proxy-reported. Admittedly, self-reporting error may bias estimations; however, if report error is not systematically related to the birth order or gender mix of children, such an error would not influence the estimates significantly [ 12 ]. Furthermore, if reporting error is constant within each household (i.e., the same individual reports the length / height and weight for each child in a household), the bias in estimated correlation may not be significant.…”

Section: Discussionmentioning

confidence: 99%

“…Mothers with larger family sizes can be at higher risk for depression[ 21 ], which has been associated with childhood obesity[ 20 ]. Also, younger children are more likely to have unhealthy diets than older children [ 12 ]. Other studies have failed to find any significant differences, or even the opposite results [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Who is more likely to be obese or overweight among siblings? A nationally representative study in rural China

Ding

Zhen

et al. 2017

PLoS ONE

View full text Add to dashboard Cite

BackgroundThe aims of this study were to determine the association between sibling rank and childhood obesity among children ≤ 5 years of age in rural China, and to investigate the effect of child gender and the obesity status of other siblings on this association.MethodsData from the China Family Panel Studies, a nationally representative survey, was used for the analysis. Sibling rank was defined as the birth order of all children with the same biological mother. A total of 1116 children ≤ 5 years of age were divided into four groups: children without siblings, first-born children, second-born children, and third-born or younger children. For each child, the body mass index and standard deviation (BMI z score) was calculated according to WHO standards; children with BMI z scores > 2 were classified as obese or overweight (ObOw). Logistic regression models were used to estimate the association between sibling rank and ObOw status, and the possible influence of gender and ObOw status among other siblings.ResultsThe second and third-born or younger children had a significantly higher risk of becoming ObOw than children without siblings (odds ratio [OR]: 1.32, 95% confidence interval [CI]: 1.07–1.63 and OR:1.38, 95% CI: 1.17–1.63, respectively). Specifically, female second-born children and male third-born or younger children had a significantly higher risk of ObOw (OR: 1.50, 95% CI: 1.11–2.01 and OR: 1.57, 95% CI: 1.07–2.32, respectively). Having an ObOw sibling increased the probability of being ObOw and the magnitude of the effect was larger if siblings were younger.ConclusionsSibling rank was shown to be associated with ObOw status among children 0–5 years of age in rural China. Our findings can help healthcare practitioners and authorities to identify children at risk of obesity. Future studies should focus on the mechanisms of this association.

show abstract

Within-Family Obesity Associations

Cited by 44 publications

References 36 publications

Evaluation of obesity and its risk factors among rural adults in Tamil Nadu, India

Evaluation of obesity and its risk factors among rural adults in Tamil Nadu, India

Age at Menarche and Cardiometabolic Health: A Sibling Analysis in the Scottish Family Health Study

Who is more likely to be obese or overweight among siblings? A nationally representative study in rural China

Contact Info

Product

Resources

About