DOCSLIB.ORG

Prevalence of Risk Factors of Non-Communicable Diseases in a Rural Population of Eastern Uttar Pradesh

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Prevalence of Risk Factors of Non-Communicable Diseases in a Rural Population of Eastern Uttar Pradesh Original Article ISSN (Print) : 2454-8952 International Journal of Medical and Dental Sciences, Vol 7(2), DOI: 10.18311/ijmds/2018/20122, July 2018 ISSN (Online) : 2320-1118 Prevalence of Risk Factors of Non-Communicable Diseases in a Rural Population of Eastern Uttar Pradesh Dhruva Agarwal1*, Siraj Ahmad2, Jai Vir Singh3, Mukesh Shukla4, Bhupesh Kori5 and Aditi Garg6 1,2,3,5Department of Community Medicine, Hind Institute of Medical Sciences, Barabanki, Lucknow Metro, Uttar Pradesh - 225003, India; [email protected], [email protected], [email protected], [email protected] 4Department of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh - 462020, India; [email protected] 6Department of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh - 225001, India Abstract Introduction: Over past few decade morbidities and mortalities associated with NCDs (Non-Communicable Diseases) was done to determine the prevalence of common risk factors for major NCDs in a rural population of Barabanki district leads to a significant loss ofMaterials productive and life Methods: years both in developed and developing countries. Therefore, the present study in eastern Uttar Pradesh. The present cross-sectional study was conducted in Satrikh block of Barabanki district. Multistage sampling was used for enrolment of the study subjects. A Results:totalof 1824 Prevalence participants of tobacco aged ≥25 years were enrolled in the study. WHO STEPs- wise tool was used to collect information on behavioural risk factors like tobacco use, diet, alcohol useand associated anthropometric indices were measured. smoking, smokeless tobacco products use, alcohol consumption, less than five servings of fruits/vegetables, more than five grams of salt intake and overweight/obesity was found to be 26.2%, 27.08%, 24.1%, 91.61%, 10.9% and 34.86% respectively. Individuals with age more than 35 years, male subjects, illiterates and those who belonged to scheduled castes/ tribes were significantly (p<0.05) more predisposed to both smoked tobacco as well as smokeless tobacco use and alcohol consumption.Consumption of alcohol was significantly (p<0.05) higher among employed groups who belonged to upper and upper middle class while tobacco consumption was more prevalent in lower socioeconomic group. ConsumptionConclusion: of salt more than 5 grams per day was significantly higher among individuals in elder age group (35-65 days), among females, those who were literate, those who belonged to other backward castes and among government employees. The study revealed high prevalence of non-communicable disease risk factors among adults. This indicates towards need of prompt community based preventive measures and control strategies to lower the forthcoming consequences of NCDs. Keywords: Alcohol, Hypertension, Physical inactivity, Risk Factors 1. Introduction Communicable Diseases (NCDs) affects both males and females worldwide and currently are major challenge for Globally 70% of the total deaths (about 40 million) are all health care models.[2] Socio-demographic transition caused by non-communicable diseases. Cardiovascular has lead to substantial modification in the health behav- diseases account for majority (17.7 million) of deaths, iors and health profile of people both in developed and followed by cancers (8.8 million), chronic respiratory developing world economies.[3] The overall effect of this diseases (3.9 million) and diabetes (1.6 million).[1] Non economic transition with changes in behavioral lifestyle *Author for correspondence Prevalence of Risk Factors of Non-Communicable Diseases in a Rural Population of Eastern Uttar Pradesh pattern can be visualized in real world as epidemiologi- 2.3 Study Period cal transition from communicable to non communicable From 1st June 2016 to 31th May 2017. diseases.[4] By 2020 it is projected that, non communi- cable diseases will contribute more than 80% of the total 2.4 Sample Size morbidities and 70% of total mortalities.[5] Even in young country like India, the study reviews reflect that about Sample size was calculated based on the formula for esti- [9] 2 2 50% of total deaths and 62% of the total disease burden mation of proportion; z 1-α/2 p (1-p)/d ; where z was are attributed to NCDs.[6] value of standard normal variable at 5% level of signifi- Aiming the risk factors as a part of primordial and cance, pwas anticipated prevalence of risk factors (preva- preventive strategies is the most effectual way to tackle lence of Obesity from Sandhu et. al., 2015 was taken as the problem of non-communicable diseases. The key 6.2%);[10] and d was allowable error. Since the multistage behavioural risk factors recognized in the World Health sampling method was used the sample size was adjusted Report 2002, are tobacco use, harmful alcohol intake, for a design effect of 2, and sample size was calculated to low fruits and vegetables consumption as unhealthy diet be 1518. Accounting for a non-response rate of 20%, the and lack of physical activity while major biological risk final sample size was calculated as 1824. factors identified are increased Body Mass Index (BMI), raised arterial blood pressure, raised blood glucose and 2.5 Sampling Technique [7] total cholesterol levels. Risk factors nowadays ulti- Multistage sampling was used and during first stage eight mately become the diseases. Public health approach with villages from RHTC area was selected by simple random management of these risk factors are the most affordable method and number of study subjects per village was way to deal with the problem on long term. That why based on their proportionate size. In each village, houses from last two decades majority of programs and poli- were selected by systematic random sampling procedure. cies are aimed targeting these risk factors so as to make Every third house was studied till the required sample a extensive control. World Health Organization (WHO) size for that village was achieved. All members in the has also developed the STEPs approach to conduct sur- household aged ≥25 years were included in the study. veillance of NCD risk factors and conduct appropriate Individuals not available during visit were excluded from [8] interventions to reduce them. Similar approach has study. been adopted in present study with the view that if risk factors are managed properly, more than half of untimely 2.6 Study Approach deaths could be prevented. Although various studies [8] have assessed the prevalence of risk factors for non-com- WHO STEPs wise approach was used. municable diseases in urban India, but studies from rural India is relatively meagre. Thus, the current effort was 2.7 Data Collection done to study the prevalence of common NCDs risk fac- The individuals selected were approached, interviewed tors in a rural population of Barabanki district, Eastern and examined for physical measurement. For each study Uttar Pradesh. subject a separate questionnaire was filled. WHO STEPS based questionnaire was used to gather information 2. Materials and Methods regarding age, sex, marital status, religion, caste, educa- tional status, occupation, family history etc. and risk fac- 2.1 Study Design tors for non-communicable diseases i.e., tobacco smoking, consumption of smokeless tobacco and alcohol, dietary Community based Cross Sectional study habits, physical inactivity, body mass index, life style, phys- ical measurements, etc. Socioeconomic status was assessed 2.2 Study Population using Modified B G Prasad Socioeconomic scale 2016.[11] The study population comprised of individuals aged ≥25 Data was collected by structured interview method by years of either sex residing in the villages in the catchment using a pre-design and pretested questionnaire based on area of Rural Health Training Centre (RHTC), Satrikh, WHO STEPs approaches for surveillance of NCD in con- Barabanki district, U.P. text to STEP 1 and STEP 2 only.[8] 1668 Vol 7 (2) | July 2018 | http://www.informaticsjournals.com/index.php/ijmds/index International Journal of Medical and Dental Sciences Dhruva Agarwal, Siraj Ahmad, Jai Vir Singh, Mukesh Shukla, Bhupesh Kori and Aditi Garg 2.8 Data Analysis 3. Results Data collected was primarily entered in Microsoft In our study population, the age group of participants Excel and finally transferred to Epi-Info for analysis. ranged from 25-75 years. Among them 560(30.7%) Quantitative data was expressed in percentages and odds individuals were in 25 to 34 years’ age group, while ratios were calculated with 95% confidence interval for only 118(6.47%) individuals were above 65 years of age. assessment of risk factors. Value of p<0.05 was considered Mean age of the participants was 42.63±11.72 years. Out significant. of total 1824 participants, 780(42.8%) were males and 1044(57.2%) were females. The percentage of married 2.9 Ethical Considerations population was 87.1% among the total studied popula- Ethical approval was sought from institutional ethics tion. Among the study population, 730(40%) were literate committee before commencement of study. The purpose and 1094(60%) were illiterate. (Table 1) of the study was explained to each person in the local lan- The overall prevalence of risk factors smoked tobacco, guage and a written and informed consent was taken. smokeless tobacco, alcohol consumption, less than five Table 1. Distribution of study population on the basis of bio-social characteristics (N=1824) Characteristics Number Percentage
Load more

Recommended publications
  • Barabanki Dealers Of
    Dealers of Barabanki Sl.No TIN NO. UPTTNO FIRM - NAME FIRM-ADDRESS 1 09150600003 BB0010297 J.R.ORGAINIC INDUSTRIES LTD. DEWA ROAD BARABANKKI 2 09150600017 BB0019725 POINEER MEDICAL STORE BEGAM GANJ BARABANKI 3 09150600022 BB0027709 PAL CYCLE HOUSE LAIYA MANDI BARABANKI 4 09150600036 BB0029230 SAMSHUDIN SARRPHUDIN SADAR BAZAR BARABANKI 5 09150600041 BB0034599 TRILOCHAN NATH KESHAO KUMAR SAFDAR GANJ BARABANKI 6 09150600055 BB0016832 SHYAM BIHARI RAM SWROOP JAISWAL DHANOKHAR CHOURAHA BARABANKI 7 09150600060 BB0037812 MATA PRASAD BHURA MALL GALLA FATEHPUR BARABANKI 8 09150600069 BB0041040 GUPTA FERTILIZER FATEHPUR BARABANKI 9 09150600074 BB0041380 HARI TEE CO. MAIN ROAD BARABANKI 10 09150600088 BB0042964 UNITED DRUG AGENCIES MEENA MARKET BARABANKI 11 09150600093 BB0088502 LAXMI RICE MILL & ALLIED INDUSTRIES FAIZABAD ROAD BARABANKI 12 09150600102 BB0049211 RAM PRAKASH CONTRACTION TIKRA BADDUPUR BARABANKI 13 09150600116 BB0046957 KISAN COLD STORAGE PALHARI CHOURAHA BARABANKI 14 09150600121 BB0046900 BEAUTY PALACE GENERAL MERCHANT, 34 INDIRA MARKET BARABANKI 15 09150600135 BB0048714 FATEHPUR TRADING CO. FATEHPUR BARABANKI 16 09150600140 BB0030073 RINKU COAL DEPOT NAKA SATARAKH BARABANKI 17 09150600149 BB0509224 JAI SHIV BRICK FIELD MO.PUR KHALA BARABANKI 18 09150600154 BB0008710 VISHNU KUMAR AJAY KUMAR MAIN ROAD BARABANKI 19 09150600168 BB0050354 SRI DURGA RICE AND FLOUR MILL TIWARI GANJ H Q BARABANKI 20 09150600173 BB0053854 MAZHAR AZIZ CONTRACTOR SATRIKH BARABANKI 21 09150600187 BB0051660 MANISHA ENTERPRISES FATEHPUR BARABANKI 22 09150600192
    [Show full text]
  • List of Class Wise Ulbs of Uttar Pradesh
    List of Class wise ULBs of Uttar Pradesh Classification Nos. Name of Town I Class 50 Moradabad, Meerut, Ghazia bad, Aligarh, Agra, Bareilly , Lucknow , Kanpur , Jhansi, Allahabad , (100,000 & above Population) Gorakhpur & Varanasi (all Nagar Nigam) Saharanpur, Muzaffarnagar, Sambhal, Chandausi, Rampur, Amroha, Hapur, Modinagar, Loni, Bulandshahr , Hathras, Mathura, Firozabad, Etah, Badaun, Pilibhit, Shahjahanpur, Lakhimpur, Sitapur, Hardoi , Unnao, Raebareli, Farrukkhabad, Etawah, Orai, Lalitpur, Banda, Fatehpur, Faizabad, Sultanpur, Bahraich, Gonda, Basti , Deoria, Maunath Bhanjan, Ballia, Jaunpur & Mirzapur (all Nagar Palika Parishad) II Class 56 Deoband, Gangoh, Shamli, Kairana, Khatauli, Kiratpur, Chandpur, Najibabad, Bijnor, Nagina, Sherkot, (50,000 - 99,999 Population) Hasanpur, Mawana, Baraut, Muradnagar, Pilkhuwa, Dadri, Sikandrabad, Jahangirabad, Khurja, Vrindavan, Sikohabad,Tundla, Kasganj, Mainpuri, Sahaswan, Ujhani, Beheri, Faridpur, Bisalpur, Tilhar, Gola Gokarannath, Laharpur, Shahabad, Gangaghat, Kannauj, Chhibramau, Auraiya, Konch, Jalaun, Mauranipur, Rath, Mahoba, Pratapgarh, Nawabganj, Tanda, Nanpara, Balrampur, Mubarakpur, Azamgarh, Ghazipur, Mughalsarai & Bhadohi (all Nagar Palika Parishad) Obra, Renukoot & Pipri (all Nagar Panchayat) III Class 167 Nakur, Kandhla, Afzalgarh, Seohara, Dhampur, Nehtaur, Noorpur, Thakurdwara, Bilari, Bahjoi, Tanda, Bilaspur, (20,000 - 49,999 Population) Suar, Milak, Bachhraon, Dhanaura, Sardhana, Bagpat, Garmukteshwer, Anupshahar, Gulathi, Siana, Dibai, Shikarpur, Atrauli, Khair, Sikandra
    [Show full text]
  • ASHA Data Base Barabanki Name of Name of Sub- ID No.Of Population S.No
    ASHA Data Base Barabanki Name Of Name Of Sub- ID No.of Population S.No. Name Of Block Name Of CHC/BPHC Name of ASHA Husband's Name Name Of Village District Centre ASHA Covered 1 1 1 1 1 1 1 1 1 1 1 Barabanki Masauli Phc Sadrudeenpur Chullahabaani 1207001 ANITA SHRI.RAJKUMAR Chulahabanni 1450 2 Barabanki Masauli Dadra Jakariya 1207002 ANITA DEVI SHRI.RAMESH KUMAR Jakariya 1420 3 Barabanki Masauli Udhauli Palhari 1207003 ANITA DEVI SHRI.TILOKI Suryapur 950 4 Barabanki Masauli C.H.C.Badagawn Badagawn 1207004 ANJU RASTOGI SHRI.RAJENDAR RASTOGI Badagawn 1200 5 Barabanki Masauli Rasauli Lakshbar 1207005 ARTI DEVI SHRI.VIJAY KUMAR Saidabad 517 6 Barabanki Masauli Rasauli Pratapganj 1207006 ASANGAYA VERMA SHRI.PRADEEP KUMAR Dhamora 1000 7 Barabanki Masauli C.H.C.Badagawn Karpiya 1207007 ASHA DEVI SHRI.PRATAP SINGH Naseernagar 1170 8 Barabanki Masauli Udhauli Udhauli 1207008 ASHA DEVI SHRI.JUWALA PRASAD Udhauli 6000 9 Barabanki Masauli Rasauli Pratapganj 1207009 AGMA DEVI SHRI.JAGMOHANLAL Pratapganj 881 10 Barabanki Masauli P.P.C.Masuoli Masuoli 1207010 AJUM SHRI.KUTUBUDEEN Masuoli 937 11 Barabanki Masauli C.H.C.Badagawn Medhiya 1207011 ANITA DEVI SHRI.AWODESH KUMAR Amdaha 813 12 Barabanki Masauli Udhauli Sooryapur 1207012 ANJU DEVI SHRI.GANESH KUMAR Suryapur 1171 13 Barabanki Masauli Udhauli Udhauli 1207013 ARCHANA DEVI SHRI.RITESH KUMAR Ambaur 1007 14 Barabanki Masauli Rasauli Lakshbar 1207014 ARTI SHRI.SANJAY KUMAR Saidabad 690 15 Barabanki Masauli Udhauli Udhauli 1207015 ASHA DEVI SHRI.SURENDAR KUMAR Ambaur 761 16 Barabanki Masauli Phc Sadrudeenpur
    [Show full text]
  • Year 2002-03
    Consistence Opium Licesed Average Status/ Reason Net Area in of Opium Tendered Area in per hectare Quality for non- Unique Code of Cultivator District Tehsil Village Name of Cultivator Crop Year Hect. as per at 70° in Old Unique Code Remarks Hect. (Kg/hec) of issuance (0.0000) GOAW Kgs (0.000) (00.0000) Opium of licence (00.00) (00.000) 03010101001 013 BARABANKI NAWABGANJ ADAMPUR RAM SEVEK/ GOKUL PRASAD 2002-03 0.200 0.190 F 03010101002 006 BARABANKI NAWABGANJ ALAPUR RAM NARESH/ CHOTI 2002-03 0.200 0.200 00.00 2.250 10.976 I 02 03010101003 003 BARABANKI NAWABGANJ ALMASGANJ RAGHU NANDAN/ MAIKULAL 2002-03 0.200 0.190 4.250 20.732 F 03010101003 007 BARABANKI NAWABGANJ ALMASGANJ KESHAR/ SHAUKAT ALI 2002-03 0.200 0.210 00.00 3.250 16.250 I 02 03010101003 010 BARABANKI NAWABGANJ ALMASGANJ SARVJEET/ KALIDEEN 2002-03 0.200 0.190 4.150 20.750 F 03010101003 022 BARABANKI NAWABGANJ ALMASGANJ KIDHA LAL/ DAYAL 2002-03 0.200 0.190 2.250 10.976 F 03010101003 027 BARABANKI NAWABGANJ ALMASGANJ RAMDEI/ RAM JIYAVAN 2002-03 0.200 0.190 3.150 15.366 F 03010101003 028 BARABANKI NAWABGANJ ALMASGANJ CHOTYLAL/ CHATURI 2002-03 0.200 0.190 3.250 15.476 F 03010101003 029 BARABANKI NAWABGANJ ALMASGANJ SURESH CHANDRA/ ISWARI PRASAD 2002-03 0.200 0.190 3.250 17.105 F 03010101003 031 BARABANKI NAWABGANJ ALMASGANJ HARILAL/ MAEKULAL 2002-03 0.200 0.190 4.250 20.732 F 03010101003 032 BARABANKI NAWABGANJ ALMASGANJ RAM NARESH/ KALLU 2002-03 0.200 0.190 4.250 21.250 F 03010101003 033 BARABANKI NAWABGANJ ALMASGANJ RAM LAKHAN/ SURJEET 2002-03 0.200 0.190 5.250 26.250 F 03010101004
    [Show full text]
  • Urban Structure and Human Well-Being in Barabanki City
    URBAN STRUCTURE AND HUMAN WELL-BEING IN BARABANKI CITY ABSTRACT /i- • THESIS K .• • j^ •- • ^"i SUBMITTED FOR THE AWARD OF THE DEGREE OF f Boctor of ^tjilosfopfjp -•-/ / ~^; ^- ,< IN ' ^ ' ' GEOGRAPHY \ v\^ SUBMITTED BY MOHD. FAHGGM Under the Supervision of DR. FAKHRUDDIN (Reader) DEPARTMENT OF GEOGRAPHY ALIGARH MUSLIM UNIVERSITY ALIGARH (INDIA) 2008 ^Sstract Abstract The continually changing face of the city all over the world is focus of the study in urban geography. Urban areas grow in term of area and population everyday. Urban areas change in its structure and morphology in varied manner, owning to natural growth as well as the socio economic aspiration of the cities. Environmental structure of cities generally related to education, medical facilities, drinking water, power supply, housing conditions etc. and availabilities of these facilities determines the well-being of the people. Geographically, the city of Barabanki is located on latitude 26°51 N and longitude 81°!3 E, at a distance of 29 Kms north -east of Lucknow the capital city of the state of Uttar Pradesh, India. It shares its physical characteristics with central part of the state of Uttar Pradesh. Barabanki city contains a population of 75271 according to census report of 2001. The city is divided into 25 municipal wards. The city as demarcated by Barabanki Municipal Board was selected for the study. The present research work is an attempt to examine the urban physical structure in association with social well- being of Barabanki city. This is in spite of its certain limitations has succeeded in disclosing many specific features of urban structure of small towns in India.
    [Show full text]
  • Gonda and Barabanki Districts
    81°0'0"E 81°10'0"E 81°20'0"E 81°30'0"E 81°40'0"E 81°50'0"E 82°0'0"E 82°10'0"E 82°20'0"E 82°30'0"E N N " " 0 0 ' ' 0 0 4 4 GEOGRAPHICAL AREA ° ° 7 7 2 ± 2 GONDA AND BARABANKI DISTRICTS KEY MAP N N " " 0 0 ' ' 0 0 3 3 ° ° 7 7 2 2 U T T A R P R A D E S H Vishunpur Belbhariya ! Khargupur Lonawa Dargah !( ! Khargupur Imilia N ! N " Á " 0 0 ' ' 0 0 2 2 ° ° 7 7 2 2 It!ia Thok !Á Phrenda Shukul Parsia Bahoripur ! ! ! Para Saray Belhara Á ! Tribhuwan Nagar Grint ! Retwagara ! ! ! Rajapur Retwagara Katra ! Dhanepur Bhatwamau Dewa Pasiya Á! CA-02 ! Khinjhna Mithwara ! ! !( Ramapur Ujjani Kalan ! ! Bangawan ! Suratganj Selhari ! GONDA Madhau Ganj ! Dewari Kalan ! ! Beerpur Katra ! ! Devria Alawal Dulhapur Bankat ! ! Total Geographical Area (Sq Km) 8,405 N Nindura Ashokpur N " CA-08 ! ! Rudragarh Mausi ! " 0 Fatehpur Paharapur 0 ' ! ' 0 Á!Á!!( Sarbang Pur ! 0 1 ! Bankati Suryabali Singh 1 No. of Charge Area 10 ° Ghughter FATEHPUR Kauraha Jagdishpur ! ° 7 ! CA-07 7 2 Keswapur Pahrwa JanÁ!ki Nagar 2 ! ! !! !( ! Baranpur !! Á Parsa Godri Á Á Total Household 11,20,305 Á RAM ! Á ! Gonda !( Sakraura !!( Colonelganj(Rural) 18 E !. Gonda Á! ¤£ !( Á! Mohsand Total Population 66,94,618 ! NAGAR Á! Gird Gonda Jigana ! Á! ! ! Machhali Gaon Nankar Á! Chandpur Banvaria Ummed Jot Sihali Ramnagar CA-04 ! ! Dhuswa Khas ! ! ! ! Á! !( Banghusra Khorhansha Daulatpur Grint Á! COLONELGANJ Bhonka ! ITI Mankapur ! Kursi Tilokpur Khargupur Á! CHARGE CHARGE ! ! ! !( Hathia Gardh NAME NAME Bhitaura Mankapur ! ¤£1 A Saraiya Anta ¤£30 ! !!( AREA ID AREA ID Bahrauli Dewa ! ! Á!
    [Show full text]
  • District Population Statistics, 51-Banki, Uttar Pradesh
    Ii Census of India, 1951 DISTRICT POPULATION STATISTICS UTTAR PRADESH 51-BARA BANK! DISTRICT I:/ I I _ I ~ 315.42 ALLAHhBAD: ITING AND STA'fiONERY, UTTAR PRADESH, INDIA 1951 _- 312.,5""42- 1955 BAR-I> BARDPS 19S} FOREWORD THE Uttar Pradesh Government asked me in March, 1952. to supply {hem for the pUT!'0ses of elections to local bodies population statistics with separation for scheduled castes (i) mohalla/ward-wise for urban areas, and (ii) village-wise foc rural areas. The Census Tabulation Plan did not provide for sorting of scheduled castes, population for areas smaller than a tehsil or urban tract and the request from the Uttar Pradesh Government came when the slip sorting had been finished and the Tabulation Offices closed. As the census slips are mixed up for the purposes of sorting in one lot for a tehsil or urban tract, collection of data regarding scheduled castes population by mohallas/wards and villages would have involved enormous labour and expense if sorting of the slips h'ad been taken up afresh. Fortunately, however, a secondary census record, viz. the National Citizens' Register, in which each slip has been copied. was available. By singular foresight it had been pre­ pared mohalla/ward-wise for urban areas and village-wise for rural areas, Tht required information has. therefore, been extracted from this record. 2. In the above circumstances there is a slight difference in the figures of population as arrived at by an earlier sorting of the slips and as now determined by counting from the National Citizens' Register.
    [Show full text]
  • 2..DSR Barabanki
    have come from Gujarat, the same nursery of Chhattris from which the Ahban, the Pan war, the Gahlot, the Gaur, the Bais, and many other Oudh clans, are believed to have emigrated. The district under British rule had an area of 1,769 sq mi (4,580 km2). In 1856 it came, with the rest of Oudh, under British rule. During the Sepoy war of 1857-1858 the whole of the Barabanki talukdars joined the mutineers, but offered no serious resistance after the capture of Lucknow. It stretches out in a level plain interspersed with numerous jhils or marshes. In the upper part of the district the soil is sandy, while in the lower part it is clayey and produces finer crops. The district is well fed by rivers Ghaghra (forming the northern boundary), Gomti (flowing through the middle of the district) and Kalyani and their tributaries, for the major part of the year. Some rivers dry out in the summer, and get flooded during the rainy season. The changing course of the river Ghagra changes the land area in the district, year to year. Tahsil Pargana No. of Area (in acres) Villages Nawabaganj Nawabganj 77 50,484 Partabganj 54 35,834 Satrikh 43 29,358 Siddhaur 224 90,377 Daryabad-Rudauli Dariyabad 241 136,931 (later named to Ram Sanehi Ghat ) Surajpur 107 61,645 Rudauli 196 110,553 Mawai 51 45,469 Barsorhi 44 21,958 11 Ramnagar Ramnagar 168 71,756 Fatehpur 251 98,532 Muhammadpur 83 39,568 Bado Sarai 56 30,541 Total 1,595 323,011 The principal crops are rice, wheat, pulse and other food grains and sugarcane.
    [Show full text]
  • Barabanki Cluster) Division-Barabanki State-Uttar Pradesh
    TENTATIVE ELIGIBLITY LIST FOR THE CROP YEAR 2020-21 IN RESPECT OF BARABANKI DIVISION (BARABANKI CLUSTER) DIVISION-BARABANKI STATE-UTTAR PRADESH Sl. No. Unique Code District Tehsil Village Cultivator Name 1 2 3 4 5 6 1 03010101045 051 BARABANKI NAWABGANJ ABDULLAPUR BABULAL/ BHAGUTI PRASAD 2 03010101045 082 BARABANKI NAWABGANJ ABDULLAPUR KAMELSH/ NANHU 3 03010101045 059 BARABANKI NAWABGANJ ABDULLAPUR RAM CHANDRA/ MATA DEEN 4 03010101045 087 BARABANKI NAWABGANJ ABDULLAPUR RAM SAJIWAN/ BANSHILAL 5 03010101045 053 BARABANKI NAWABGANJ ABDULLAPUR VIJAY LAXMI/ OM PRAKASH DAYAWATI/ RAM VILAS 6 03010101045 018 BARABANKI NAWABGANJ ABDULLAPUR (SHAMBHU/ KHUSHIRAM) 7 03010101045 079 BARABANKI NAWABGANJ ABDULLAPUR BAHADUR/ GHURU 8 03010101045 020 BARABANKI NAWABGANJ ABDULLAPUR VISHAMBHAR/ SHRI RAM 9 03010101045 002 BARABANKI NAWABGANJ ABDULLAPUR BASANT LAL/ PANCHU 10 03010101045 006 BARABANKI NAWABGANJ ABDULLAPUR SARJU/ PANCHU TEJRAM/ CHOTELAL 11 03010101001 009 BARABANKI NAWABGANJ ADAMPUR (CHOTYLAL/ BALAI) SITARANI/ ESHWARDEEN 12 03010101001 010 BARABANKI NAWABGANJ ADAMPUR (ESHWARDEEN/ PARAGI) ADAMPUR CHETRAM URF RAM BAHADUR/ JWALA 13 03010101046 042 BARABANKI NAWABGANJ BHATPURWA PRASAD ADAMPUR 14 03010101046 004 BARABANKI NAWABGANJ DURGI/ DEVKALI BHATPURWA ADAMPUR 15 03010101046 024 BARABANKI NAWABGANJ KALLU/ ASHARFI BHATPURWA ADAMPUR 16 03010101046 016 BARABANKI NAWABGANJ RAM ADHAR/ PARMESHWAR BHATPURWA ADAMPUR 17 03010101046 022 BARABANKI NAWABGANJ SUNDAR/ RAMESHWAR BHATPURWA ADAMPUR 18 03010101046 018 BARABANKI NAWABGANJ SURESH / RAGHUVEER BHATPURWA
    [Show full text]
  • Barabanki Page:- 1 Cent-Code & Name Exam Sch-Status School Code & Name #School-Allot Sex Part Group 1001 Govt.Inter College Barabanki Aum
    DATE:27-02-2021 BHS&IE, UP EXAM YEAR-2021 **** FINAL CENTRE ALLOTMENT REPORT **** DIST-CD & NAME :- 63 BARABANKI PAGE:- 1 CENT-CODE & NAME EXAM SCH-STATUS SCHOOL CODE & NAME #SCHOOL-ALLOT SEX PART GROUP 1001 GOVT.INTER COLLEGE BARABANKI AUM HIGH BUM 1006 D A V HR SEC SCHOOL BARABANKI 62 M HIGH CUM 1008 ANAND BHAWAN HIGH SCHOOL BARABANKI 17 F HIGH CUM 1052 RAM SEWAK YADAV SMARAK INTER COLLEGE BAREL BARABANKI 72 M HIGH CRM 1064 S S INTER COLLEGE BHANAULI BARABANKI 66 M HIGH CRM 1069 SUBHASH ADARSH I C KURAULI BARABANKI 44 M HIGH CUF 1130 S B H S SCHOOL LAKHPERA BAGH BARABANKI 16 F HIGH CUM 1134 SCHOLARS PUBLIC INTER COLLEGE BARABANKI 7 F HIGH CUF 1169 JHABER BA PATEL B V INTER COLLEGE BARABANKI 21 F HIGH CRM 1183 BHAVI BHARAT SIKSHA NIKETAN IC BARABANKI 53 M HIGH CRM 1236 RAMLAKHAN RAMDAS H S S SALEMPUR DEWA BARABANKI 19 M HIGH ARM 1262 RAJKEEYA HIGH SCHOOL BADEL BANKI BARABANKI 26 M HIGH CRM 1297 NEW VIKAS U M V MAINAHAR BARABANKI 36 M 439 INTER ARM 1009 G INTER COLLEGE BARAULI JATA BARABANKI 29 M SCIENCE INTER CUM 1079 WARIS CHILDRENS ACADEMY I C BARABANKI 33 M SCIENCE INTER CUM 1122 SRI SAI INTER COLLEGE LAKHPERABAGH BARABANKI 181 M - SCIENCE INTER CRM 1137 JYOTI SHIKSHA NIKETAN INTER COLLEGE BHATEHATA DEWA BARABANKI 78 M SCIENCE INTER CRM 1229 RAMBHEEKH RAJRANI S S I C MALOOKPURGADIYABARABANKI 155 M SCIENCE 476 CENTRE TOTAL >>>>>> 915 1002 GOVERNMENT GIRLS INTER COLLEGE, BARABANKI AUF HIGH AUF 1002 GOVERNMENT GIRLS INTER COLLEGE, BARABANKI 285 F HIGH CUM 1126 PUBLIC CITY MONTESSORI H S BARABANKI 3 F HIGH CUM 1129 J N HIGH SCHOOL RASOOLPUR
    [Show full text]
  • Sufism, Sufi Leadership and 'Modernisation'
    Sufism, Sufi Leadership and ‘Modernisation’ in South Asia since c. 1800 Thesis submitted for the degree of Ph.D Claudia Liebeskind Royal Holloway, University of London ProQuest Number: 11010461 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a com plete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. uest ProQuest 11010461 Published by ProQuest LLC(2018). Copyright of the Dissertation is held by the Author. All rights reserved. This work is protected against unauthorized copying under Title 17, United States C ode Microform Edition © ProQuest LLC. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106- 1346 School o f African Studikp THISBOOK HAS-BEEN mTHDRAWh From The Librzry 2 Abstract Relatively little research has been devoted to the responses of sufism, the Islamic spiritual tradition, to processes of ‘modernisation’. I have been concerned to study the responses of Indian sufism to the growth of the colonial state, which established new forms of knowledge and new forms of order, and to the emergence of Muslim movements of revival and reform, which saw, and still see, sufism as inimical to the capacity of Muslims to sustain an Islamic society. It is a context more hostile for sufism than ever experienced before. I have approached the problem by examining the responses of three working spiritual traditions in nineteenth and twentieth century India.
    [Show full text]
  • Bangladesh Nepal India China
    800’0"E 8230’0"E 850’0"E 8730’0"E Daba Tar o Co Gyaring Co MoincŒr Chia-to Ka-ku-erh Chowa Diripu Gompa Ko-su-mu-ching-chia Basisi Kyunglung Maindong Cho-shun-ka Lunggar Mo-k’o-yu Hu Tan gra Yum co Ha-le-po Su-ni-lung-pa Dakar Palung Co Zhari Namco Ngangze Co Li-ko-chai-fu Barga Peng-li-ssu Ma-pi-ta-ko-chung-an-mu Administrative Mandi Mapam Yumco unit not Hor Bangkor La’nga Co NyogzŒ existing Chih-ching Topidunga Lanngazhoinkang Lu-lung Joshimath Tu-ko-erh-ho-kung-pa Ko-chia-su-mu-na Ta-la-mo-chi Ganges A-mu-chung Langsu Kanol Dakar Xuru Co B nsum Siar G nsang Pu-pa-jung-ling Kandai Mathkot Sobala Paryang Pu-pa-to 300’0"N Chala Lin-ka-kuo-ko 300’0"N Baijnath Nachani Xizang Chaukhutia Bageshwar Shuo Zizhiqu China Bagar Nepka LŒba Tham Dhuli Hsi-erh-chung Jigal Ramu Ranikhet Chi-ku-mu Zhabd n Suni Almora Suadi Ta lk o t Pithoragarh Baitadi Pa-sa-ku-ko Sadbara Lung-ko-teng-ssu Bhandar Salim Nyugku KyŒrdo Ta rm a r Kaphrauli Thubton Gompa Sangsang Lin-ku GŒding Nainital Far Western Lu-li-kung Qu’og Bajura Dhindi Bholi Na-ma-hsi Zhaxigang Kuo-erh-chi Kamola Maya Ngamring Cha-pa-ta-lang Kathgodam XigazŒ Kaladhungi DŒnggar Rupsa Lunishera Kurari Yun-te-li Thuwa Tegar Ta -s e Brahmaputra Mo-mo-tsung Haldwani Chagna Chu-keng-ta GŒding Qumig Jitpur Lei-lung Ye Gangchen Gompa Gur DobŒ Ch’ -hsia Chorgallia Jogbura Munigaon La-kuo Nap-shi Manma Dhimni Ghara Yar a Quxar Tanakpur Kehami Bara Khera LhazŒ Nan-ta Lunh Tange Paiku Co Mid Gyirong Xarlung Rampura Joriapani To li s ai n Shatala Kichna Western Tukotigaon Pa-lu-te-ko-su-mu Kakkotgaon Sagya Bilaspur
    [Show full text]