Sentence examples for waist gain from inspiring English sources

Exact(2)

Finally, given the recognized effect of smoking and changes in smoking status on body weight and waist gain, those with missing information on smoking or changing smoking status between baseline and follow-up (n = 7,163) were excluded.

Measure weight, waist and hip circumference, and watch for edema regularly in all patients with diabetes Presence of edema or waist gain should prompt a review of antidiabetic, as well as other, medications.

Similar(58)

He plays Shane, the gormless New Jersey lug who strips to the waist to gain admittance to Studio 54 and ends up sleeping his way through clientele of both genders.

This time around, women will be able to avoid looking like running backs, but a defined, broader shoulder and nipped-in waist will gain popularity as a look.

Still, the notion that diet and other habits should be judged by their effect on waist circumference is gaining traction.

When it comes to soda, the reason for this waist-specific weight gain and accompanying health risks can possibly be traced back to an ingredient that's found in many diet and regular sodas: phosphoric acid.

The final model included adult weight gain, waist-to-hip ratio together with the rest of the abovementioned variables, except for use of hormonal replacement therapy because this exposure was not associated with MD in our study.

To explore the consistency of the results yielded by using different density scales, the same model, including adult weight gain, waist-to-hip ratio, age, BMI, parity, family history of breast cancer and time since menopause, was fitted using Wolfe's and Tabár's classifications of mammographic density.

As for Dominique (above), I'm very skeptical that one can reduce their waist by 8 in., gain 25 lbs., & consider themselves "healthy" !

In a prospective follow-up, this index predicted gain in waist circumference [ 20] and was also predictive of increased mortality in a prospective study of UK adults [ 21].

Multinomial logistic regression showed that country, age, sex, smoking, alcohol use, low-fat diet, waist circumference, recent weight gain (>5 kg), elevated triglycerides, metabolic syndrome, and medical GERD treatment had a significant effect on latent classes.

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