I eat at least two bowls of rice each day. I've always thought of rice as my birthright, and a healthy one at that. Globally, the WHO says at least million people live with type 2 diabetes and the number is set to rise to half a billion in two decades' time. However, there is insufficient screening in India and only the most rudimentary health system, so the numbers may be far higher.
Source: WHO. According to year-old data from the World Health Organization more than a quarter of Sri Lanka's population is overweight. Now, increasingly, I'm seeing more and more young people, in their 20s, and more worryingly, school children between 12 and 18 years old," says Dr Manilka Sumanatilleke at his diabetes clinic, in Karapitiya Hospital on the country's idyllic south-west coast.
He blames the popularity of white rice, stir-fried in coconut oil, as well as kottu - a fried bread stuffed with meat and vegetables. The country's national health system is struggling to cope with the huge rise in patients with chronic illnesses like diabetes. A surgeon, he amputates the limbs of patients whose untreated diabetes has ravaged blood vessels, leading to loss of feeling and simple, but often catastrophic, injuries.
This all started with a little injury - he stepped on a sharp stone barefoot. His infection spread upwards very quickly. To save his life, we had to take off half his leg. Then, it was smokers' problems. Now it's shifted mainly to diabetics. As I head back to Delhi, I consider my risk factors and plot what changes I can make immediately. A few months on, I no longer eat white rice. Instead, I've switched to red rice, which I enjoy, even in biryanis and stir-fries. I must do more exercise, but Delhi is a dense, chaotic urban jungle where pavements are broken, traffic omnipresent, and clean parks few and far between.
Not to mention it's become the world's air pollution capital with levels of fine toxic particles twice as high on average as Beijing's. In truth, most days the only exercise I get is walking the 10 steps from my bedroom to my office, where I sit editing radio interviews or writing on my computer.
Even when I do need to get out and about, it's by car, the fastest, safest option. But I've seen my grandmother die from diabetes complications.
And recently my father, who has stubbornly refused to confront his blood sugar levels, was diagnosed with retinopathy, where diabetes damages the fine blood vessels in the eye. Twitter: skarlamangla. Coffee lovers rejoice: 4 reasons why coffee is good for your health.
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By Soumya Karlamangla. Thus, females internalize that their self-worth is based on the views of others, and this leads to their own subconscious social judgment on their body-image. Through our interviews, the influence of the internet was also discovered. All these phrases allude to an aim for weight loss rather than keeping health. There are still some limitations in our study. We focused on the undesirable tendency in the group of female university students but did not assess the students diagnosed with eating disorders.
While diagnosable eating disorders have a large effect on body-image, it is difficult for us to distinguish disorders for these participants because diagnosable eating disorders are usually caused by mental problems and college students are often private about these conditions. Therefore, it is unlikely for us to obtain this information in a self-administered questionnaire. To comprehensively understand the harm of this phenomenon, it would be better to perform a longitudinal study in other young females in addition to college students.
This information may help to reduce this serious threat to the health of young Chinese females. The original data obtained from self-administered questionnaire are shown in this table.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. National Center for Biotechnology Information , U. PLoS One. Published online Oct Rachel A. Annunziato, Editor. Author information Article notes Copyright and License information Disclaimer.
Competing Interests: The authors have declared that no competing interests exist. Received May 2; Accepted Sep This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This article has been cited by other articles in PMC. S2 Table: Original data of qualitative study. The original data obtained from qualitative study are shown in this table. Abstract An increasing number of young girls have attached great importance to their body-image in China.
Introduction In Asia, it was once believed that thinness was a sign of poverty and malnutrition [ 1 , 2 ]. Materials and methods Setting and participants The study consists of the quantitative and qualitative portions.
Body mass index BMI Body Mass Index BMI divides weight in kilograms by height in meters squared and is a commonly used international measure to evaluate human body fat and health.
Qualitative study After the self-administered questionnaire, we performed a qualitative study. The frame is as follows: Are you satisfied with your body-image? Whose advice did you take to make you decide to lose weight? What did they say? Statistical analysis The data were entered and managed with EpiData 3. Table 1 Correlation between demographic characteristics and the BMI subgroups.
Open in a separate window. Factors associated with the underweight BMI subgroup The factors related to the underweight BMI subgroup were obtained from questionnaire, and multinomial logistic regression analysis was applied Table 2. Table 2 Influencing factors associated with the underweight BMI subgroup. Association between the desire to change weight and BMI subgroup The ideal BMI was calculated using the ideal weight and actual height that participants reported in the self-administered questionnaire.
Table 4 Association between the desire to change weight and BMI subgroups. Discussion Our cross-sectional survey described a phenomenon in which out of participants Supporting information S1 Table Original data of self-administered questionnaire. XLSX Click here for additional data file. S2 Table Original data of qualitative study.
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