Early puberty in girls may mean greater risk of obesity as an adult

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India Varanasi girl with scarf
India Varanasi girl with scarf

Previous studies have shown a link between obesity and puberty – overweight girls start menstruating earlier

Girls who start puberty earlier are more likely to be overweight as adults, says new research from Imperial College London.

Puberty by Edvard Munch
Puberty by Edvard Munch

The researchers say their findings, published today in the International Journal of Obesity, strengthen existing evidence of a link between the onset of puberty and a woman’s body mass in adulthood. Previous studies have established a link between obesity and puberty, with increased bodyweight known to be a risk factor for girls starting puberty earlier.

However, these observational findings can be influenced by situational factors, such as ethnicity, economic background, education level, and diet, making it difficult to determine whether early puberty or these other factors are the cause. However this latest research shows that early puberty is itself a risk factor for being overweight, with girls who have their first period earlier more likely to have a higher Body Mass Index (BMI).

Dr. Dipender Gill
Dr. Dipender Gill

“Previous studies have shown there is an association, but we didn’t know whether early puberty caused obesity in adulthood, or was simply associated with it. In our latest study we’ve generated evidence to support that it is a causal effect”

According to the authors of the study, their findings help to untangle these complex external factors and add insight into an underlying causal link, showing that early puberty has a significant impact on a woman’s risk of obesity. Dr Dipender Gill, a Wellcome Trust Clinical Research Fellow in the School of Public Health and first author of the study, said: “Previous studies have shown there is an association, but we didn’t know whether early puberty caused obesity in adulthood, or was simply associated with it. In our latest study we’ve generated evidence to support that it is a causal effect.”

In order to get around the effects of confounding factors, the Imperial team used genetic variants as a tool to look at the effect of the onset of puberty (known as age at menarche), measured as the age of a girl’s first period. The genes in every cell of our bodies are randomly gifted to us from our parents when their sperm and egg cells fuse, with the outcome of this random jumble being the genetic basis of the embryo – influencing everything from hair colour to risk of disease for the rest of your life.

But single ‘letter’ changes to the DNA sequence of a gene can alter its function. In terms of disease risk, these single letter variants (called single-nucleotide polymorphisms, or SNPs) can result in a small increase or decrease in risk. The combination of variants of more than 20,000 genes contribute towards our cumulative genetic risk.

In the latest study, researchers employed a statistical technique called Mendelian Randomization which uses these genetic variants as a tool to show the causal relationship between earlier puberty and increased BMI. Using data from 182,416 women they identified 122 genetic variants that were strongly associated with the onset of puberty – with the women’s age at first period obtained via questionnaire.

Initial analysis revealed a link between these genetic variants and BMI, with those women who had variants associated with earlier puberty having an increased BMI. The researchers then tested for this same association in a third group 70,962 women, finding the same association.

Dr Gill, added: “Some of these genetic variants are associated with earlier puberty and some with later onset, so by taking advantage of this we were able to investigate any association of age at menarche with BMI in adulthood. We’re not saying that it’s a genetic effect, but rather that by using these genetic variants as a proxy for earlier puberty, we are able to show the effect of earlier puberty without the impact of external factors that might confound our analysis. We performed a range of statistical sensitivity analyses to test the robustness of our findings and they remained strong through this, so within the limitations of the study design, we are confident of findings.”