Abhishek Kumar, Aman Kumar, P. Kharya, R. Pachauri, Aditi Singh, Komudi Sapru
{"title":"北方邦乌纳奥地区三级医疗机构实地实践区老年医学人群中的抑郁症及相关风险因素","authors":"Abhishek Kumar, Aman Kumar, P. Kharya, R. Pachauri, Aditi Singh, Komudi Sapru","doi":"10.47203/ijch.2023.v35i03.009","DOIUrl":null,"url":null,"abstract":"Background: Ageing is inevitable for any human being. According to census 2011, the population of over 60 years of age in India accounted 8% of the total population, as of 2016 it is 8.6% which is projected to increase to 20% by 2050. Aim & Objective: To estimate the prevalence of depression among geriatrics age group and to identify factors associated with depression among geriatrics age group. Material & Methods: It was a cross-sectional study conducted between April 2022 and September 2022. Total sample size was 138. Number of subjects to be sampled from each village was calculated by probability proportion to size (PPS). Finally using simple random sampling method, participants were selected from each village. Results: The majority of the participants were in between 60 and 65 years old (63.8% of the total), next 66 to 75 years old (26.8% of the total), and finally over 75 years old (9.4% of the total). The mean age of participants in the study was 65.06+6.60 years. The proportion of male participants in the study was 47.1%, and the proportion of female participants was 52.9%. In present study, it was found that 65.9% had depression among the geriatrics population. Conclusion: This study also portrays significant association with age group, marital status, occupation, type of family and smoking history among depression among geriatrics.","PeriodicalId":13363,"journal":{"name":"Indian Journal of Community Health","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Depression and associated risk factors among geriatrics population in field practice areas of tertiary care institution in Unnao district of Uttar Pradesh\",\"authors\":\"Abhishek Kumar, Aman Kumar, P. Kharya, R. Pachauri, Aditi Singh, Komudi Sapru\",\"doi\":\"10.47203/ijch.2023.v35i03.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Ageing is inevitable for any human being. According to census 2011, the population of over 60 years of age in India accounted 8% of the total population, as of 2016 it is 8.6% which is projected to increase to 20% by 2050. Aim & Objective: To estimate the prevalence of depression among geriatrics age group and to identify factors associated with depression among geriatrics age group. Material & Methods: It was a cross-sectional study conducted between April 2022 and September 2022. Total sample size was 138. Number of subjects to be sampled from each village was calculated by probability proportion to size (PPS). Finally using simple random sampling method, participants were selected from each village. Results: The majority of the participants were in between 60 and 65 years old (63.8% of the total), next 66 to 75 years old (26.8% of the total), and finally over 75 years old (9.4% of the total). The mean age of participants in the study was 65.06+6.60 years. The proportion of male participants in the study was 47.1%, and the proportion of female participants was 52.9%. In present study, it was found that 65.9% had depression among the geriatrics population. Conclusion: This study also portrays significant association with age group, marital status, occupation, type of family and smoking history among depression among geriatrics.\",\"PeriodicalId\":13363,\"journal\":{\"name\":\"Indian Journal of Community Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Community Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47203/ijch.2023.v35i03.009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Community Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47203/ijch.2023.v35i03.009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Depression and associated risk factors among geriatrics population in field practice areas of tertiary care institution in Unnao district of Uttar Pradesh
Background: Ageing is inevitable for any human being. According to census 2011, the population of over 60 years of age in India accounted 8% of the total population, as of 2016 it is 8.6% which is projected to increase to 20% by 2050. Aim & Objective: To estimate the prevalence of depression among geriatrics age group and to identify factors associated with depression among geriatrics age group. Material & Methods: It was a cross-sectional study conducted between April 2022 and September 2022. Total sample size was 138. Number of subjects to be sampled from each village was calculated by probability proportion to size (PPS). Finally using simple random sampling method, participants were selected from each village. Results: The majority of the participants were in between 60 and 65 years old (63.8% of the total), next 66 to 75 years old (26.8% of the total), and finally over 75 years old (9.4% of the total). The mean age of participants in the study was 65.06+6.60 years. The proportion of male participants in the study was 47.1%, and the proportion of female participants was 52.9%. In present study, it was found that 65.9% had depression among the geriatrics population. Conclusion: This study also portrays significant association with age group, marital status, occupation, type of family and smoking history among depression among geriatrics.