Bengali
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)

Diabetes In Sindhi Families In Nagpur (DISFIN)

কেবল নিবন্ধিত ব্যবহারকারীরা নিবন্ধগুলি অনুবাদ করতে পারবেন
প্রবেশ করুন - নিবন্ধন করুন
লিঙ্কটি ক্লিপবোর্ডে সংরক্ষিত হয়েছে
স্থিতিসমাপ্ত
স্পনসর
Lata Medical Research Foundation, Nagpur

কীওয়ার্ডস

বিমূর্ত

The pandemic of diabetes is increasing at an alarming rate. The prevalence of diabetes has risen in India by 123% over the last decade. In 1990, diabetes was not considered an important contributor to mortality in India but in 2013, it is ranked as the eighth most common cause of deaths in adult Indian population. There is now a growing understanding that diabetes runs in families and has a significant genetic basis. In this regard, it is noteworthy that from an ethnographic standpoint, Sindhi population in India has been both genetically and environmentally at an increased risk of stress, hypertension and cardiovascular diseases. Considering the nexus of metabolic diseases that include hypertension, obesity, dyslipidemia and diabetes it is therefore expected that this population may be at an increased risk of these metabolic conditions. However, exact prevalence of contributors to type 2 diabetes in the Sindhi population is unknown. The proposed study will estimate prevalence of type 2 diabetes in Sindhi families of Nagpur. Both the PIs have extensive experience with family studies which includes construction of pedigrees, using variance components methods, dissecting out genetic and environmental components of diseases and association of critical phenotypic traits with disease. The proposed study will tap this resource with a focus on the Sindhi families of Nagpur which are concentrated in the Jaripatka and Khamla areas. This study will exploit the current infrastructure in the Lata Medical Research Foundation to access these families and conduct a first-of-its-kind study in India. It is expected that this study will pave way for more extensive genetic, epigenetic and environmental studies of this population. It will also foster future collaborations with national and international health agencies. In that vein, the DISFIN pilot study represents the first step towards identification, quantification, prevention and control of type 2 diabetes in central India.

বর্ণনা

At each Participant Recruitment Center:

1. We announced the dates of recruitment locally through pamphlet distribution, personal conversations, emails and a study website to the residents of the study areas. When the participants came in for the study, they were first administered the informed consent form.

2. Upon receiving such consent a Field Research Officer (FRO) appointed specifically for the study collected the demographic data and conduct anthropometric measurements. All the data has been directly input into a cloud-based database through tablet computers made available to the FROs for the purpose of the study.

3. A trained nurse then measured the blood pressure of the participant as follows: These measurements were conducted using a random-zero sphygmomanometer on the left arm. To account for the potential variability in the blood pressure measurements, we measured the blood pressure thrice with 5-minute intervals but use the average of the last two readings as the phenotypic trait value. Appearance of the first Korotkov sound and disappearance of the fifth Korotkov sound was considered as the systolic and diastolic blood pressures, respectively.

4. Thereafter the participant were under electrocardiographic evaluation. The examination was conducted by a trained ECG technician using a portable ECG machine with limb leads, chest leads and augmented leads. The signal recordings were digitized and stored as digital signal files. Novacode software was used to quantitatively measure important phenotypic traits from the ECG signals.

5. The participant then proceeded to measurement of random blood glucose using a glucometer and disposable test strip. The results are shared with the participant as well as entered directly into the cloud-based database.

6. Then the participant were given a urine sample collection cup. The urine sample was used to estimate urine sugar and microalbuminuria.

7. The participant were then given an appointment for fasting blood studies.

8. On the day of the appointment, a trained laboratory technician appointed for the purpose of the study drew 10 ml of venous blood from the ante-cubital vein. This blood sample will be used for lipid profile studies (total and free serum cholesterol, serum triglycerides, high-density lipoproteins, low-density lipoproteins, very low-density lipoproteins and apolipoproteins), fasting plasma glucose, serum cotinine (to corroborate the history of smoking), serum creatinine (to quantify urinary dilution), serum C peptide (to distinguish between type 1 and type 2 diabetes), plasma insulin and serum HbA1c (glycated hemoglobin).

9. To maximize participation for the fasting blood studies, we sent text reminders to participants before the date of appointment. If the participant cannot make it on the day of appointment then we again sent text and/or telephonic reminders to them for a revised appointment date. We did this for a total of three times before the reminders can be stopped.

10. If the participants were diagnosed with any medical condition during the examination then they were duly referred to expert medical help outside of the DISFIN study. If the participant was newly diagnosed as a case of T2D during study the participant was referred to expert diabetologist in the city for further medical care.

11. Lastly, we provided a nominal time compensation for each participant who completed all the study procedures.

তারিখ

সর্বশেষ যাচাই করা হয়েছে: 03/31/2019
প্রথম জমা দেওয়া: 03/12/2019
আনুমানিক তালিকাভুক্তি জমা দেওয়া হয়েছে: 04/14/2019
প্রথম পোস্ট: 04/16/2019
সর্বশেষ আপডেট জমা দেওয়া হয়েছে: 04/14/2019
সর্বশেষ আপডেট পোস্ট: 04/16/2019
আসল অধ্যয়ন শুরুর তারিখ: 02/19/2017
আনুমানিক প্রাথমিক সমাপ্তির তারিখ: 02/19/2018
আনুমানিক অধ্যয়ন সমাপ্তির তারিখ: 02/19/2018

অবস্থা বা রোগ

Diabetes Mellitus, Type 2

হস্তক্ষেপ / চিকিত্সা

Other: Sindhi families

পর্যায়

-

যোগ্যতার মানদণ্ড

বয়স অধ্যয়নের জন্য যোগ্য 20 Years প্রতি 20 Years
লিঙ্গ অধ্যয়নের জন্য যোগ্যAll
নমুনা পদ্ধতিProbability Sample
স্বাস্থ্যকর স্বেচ্ছাসেবীদের গ্রহণ করেহ্যাঁ
নির্ণায়ক

Inclusion Criteria:

1. Resident of Jaripatka or Khamla areas of Nagpur

2. Self-reported Sindhi

3. Age ≥20 years

4. Has given informed consent

Exclusion Criteria:

1. Pregnant or lactating woman

2. Known type 1 diabetes

ফলাফল

প্রাথমিক ফলাফল ব্যবস্থা

1. Type 2 diabetes [March 1, 2016 - Feb 28, 2017]

Presence of T2D will be defined as: Self-report or FPG ≥126 mg/dl or currently receiving antidiabetic drugs or HbA1c ≥6.5% or random blood sugar ≥ 200 mg/dl

মাধ্যমিক ফলাফলের ব্যবস্থা

1. Insulin resistance [March 1, 2016 - Feb 28, 2017]

Insulin resistance will be measured using the Homeostatic Model of Assessment-Insulin resistance (HOMA_IR)

2. Hypertension [March 1, 2016 - Feb 28, 2017]

Hypertension will be defined using the 2017 revised criteria (systolic blood pressure >120 mmHg and/or diastolic blood pressure >80 mmHg)

3. Obesity [March 1, 2016 - Feb 28, 2017]

Obesity will be defined as body mass index (BMI) exceeding 30 Kg/m2. BMI will be calculated as weight (in Kg)/Height2 (in meters).

4. Central obesity [March 1, 2016 - Feb 28, 2017]

Central obesity will be defined using population-specific cut off for waist circumference. For Asian Indians, the cutoffs are: male (>=90cm) and female (>=80 cm).

5. Dyslipidemia [March 1, 2016 - Feb 28, 2017]

We will use the definition of dyslipidemia as described by the International Diabetes Federation (IDF). The criteria use dyslipidemia is a composite outcomes based on measured values of serum triglycerides (≥ 150 mg/dLmg/dl) and high density lipoprotein (HDL) cholesterol (< 40 mg/dL (1.03 mmol/L) in males < 50 mg/dL (1.29 mmol/L) in females). Additionally, total serum cholesterol (≥200 mg/dl) will also be considered as dyslipidemia.

আমাদের ফেসবুক
পেজে যোগদান করুন

বিজ্ঞানের দ্বারা সমর্থিত সবচেয়ে সম্পূর্ণ completeষধি ভেষজ ডেটাবেস

  • 55 ভাষায় কাজ করে
  • বিজ্ঞানের সহায়তায় ভেষজ নিরাময়
  • ইমেজ দ্বারা ভেষজ স্বীকৃতি
  • ইন্টারেক্টিভ জিপিএস মানচিত্র - অবস্থানের উপর গুল্ম ট্যাগ করুন (শীঘ্রই আসছে)
  • আপনার অনুসন্ধান সম্পর্কিত বৈজ্ঞানিক প্রকাশনা পড়ুন
  • তাদের প্রভাব দ্বারা herষধি গুল্মগুলি অনুসন্ধান করুন Search
  • আপনার আগ্রহগুলি সংগঠিত করুন এবং নিউজ রিসার্চ, ক্লিনিকাল ট্রায়াল এবং পেটেন্টগুলির সাথে আপ ডেট থাকুন

একটি লক্ষণ বা একটি রোগ টাইপ করুন এবং এমন গুল্মগুলি সম্পর্কে পড়ুন যা সহায়তা করতে পারে, একটি bষধি টাইপ করতে পারে এবং এর বিরুদ্ধে ব্যবহৃত রোগ এবং লক্ষণগুলি দেখতে পারে।
* সমস্ত তথ্য প্রকাশিত বৈজ্ঞানিক গবেষণার উপর ভিত্তি করে

Google Play badgeApp Store badge