傳統(tǒng)研究認(rèn)為吃甜食對牙齒和身體不好
研究人員聲稱,，吃甜食的確可以阻止孩子們變得越來越胖。這個消息太令人震驚了！感覺幾十年的營養(yǎng)知識全都不對了。根據(jù)他們的研究,，經(jīng)常吃巧克力棒等甜食的孩子明顯沒有那些不吃的孩子胖。這個效果甚至延伸到了青春期,，那些愛吃糖果的孩子們要更瘦一些,。這個研究結(jié)果顯然與傳統(tǒng)的說法——“糖果不光對孩子們的牙齒不好，同時對身體也有害”相違背,，這也讓那些試圖讓孩子們戒掉糖果的父母的工作更難做了。
據(jù)國外媒體報道,，路易斯安那州立大學(xué)(Louisiana State University)的研究員從1999年到2004年期間記錄了11,，000名年齡在2歲到18歲之間的青少年們的情況。數(shù)據(jù)顯示,，吃糖果的孩子要比那些不吃的孩子瘦,，甚至比例達(dá)到了22%。在青少年中間比例更高,，甚至達(dá)到了26%,。在所有年齡段中間，吃糖的孩子的c反應(yīng)蛋白要低很多,，而高濃度的蛋白質(zhì)會提高身體患心臟病已經(jīng)其他疾病的幾率,。研究人員也解釋了這個調(diào)查結(jié)果，那些從小就吃糖果的孩子們更加懂得“飲食方法”,，他們在一些比較重要的場合就顯示出了這一優(yōu)勢,，知道怎樣保持卡路里的平衡。
新研究表明吃甜食的孩子反倒不是那么容易發(fā)胖
研究領(lǐng)頭人卡羅爾·奧尼爾(Carol O'Neil)補(bǔ)充道,，“青少年吃糖果并不會超過健康標(biāo)準(zhǔn)更不會肥胖,，但不能因為這個就放縱吃糖。糖果并不能代替吃飯所能攝取的營養(yǎng)元素,，只需適當(dāng)去享受即可,。”
南安普頓的營養(yǎng)師普利亞·圖(Priya Tew)認(rèn)為父母將這些教訓(xùn)傳授給孩子的話很利于孩子以后的生活。
這一研究結(jié)果被發(fā)表在《食品和營養(yǎng)研究雜志》(journal Food and Nutrition Research)上。（生物谷Bioon.com）
生物谷推薦原文出處：
Journal Food and Nutrition Research
Eating Patterns and Overweight Status in Young Adults
Mohindra NA, Nicklas TA, O'neil CE, Yang SJ, Berenson GS.
Several studies have focused on the association between eating patterns and obesity. However, the findings have not been consistent. The goal of the present study was to identify the eating patterns associated with overweight among young adults aged 19-28 years (n=504) in Bogalusa, Louisiana. Food intake was determined using a single 24-h dietary recall, and height and weights were measured to determine the body mass index. The association between eating patterns and overweight status was evaluated using logistic regression and analysis of covariance. Twenty-four percent of young adults were overweight and 18% were obese; with the highest prevalence of obesity seen among black females. The percentage gram consumption of fruit/fruit juices (P < 0.01) was negatively associated with overweight status, and diet beverage consumption (P < 0.05) was positively associated with obesity. Eating patterns are associated with overweight status in young adults; however, the amount of variance explained in the body mass index was very small.
