It is well known that Sikhs are at an increased risk of Type 2 Diabetes (T2DM) due to a genetic predisposition. High level of education is associated with lower incidence of T2DM. Young Sikhs are well educated compared to other South Asian sub-groups. Despite this, T2DM rates remain high in Sikhs. The uptake of preventative services is also low within Sikhs. At present, no research has been conducted with the young Punjabi Sikh population on diabetes awareness in the UK. To address this gap, this study explores the knowledge and awareness of T2DM and related modifiable risk factors in the UK Punjabi Sikh community. Views surrounding T2DM health-seeking behaviours are also explored. A qualitative design comprising of 1-to-1 semi-structured interviews was adopted. Thirteen Punjabi Sikh participants between the ages of 18-30 took part. Participants were recruited through a Sikh temple and University of Manchester Sikh Society using purposive and snowball sampling in West Yorkshire and North West England. Data were analysed using inductive thematic analysis taking a critical realist stance. Three themes were identified: (1) Perceptions of the causes of T2DM, (2) Perceptions of factors impacting physical activity and diet, and (3) Attitudes towards health-seeking behaviours. The findings show that although well educated, participants overlooked physical activity as contributing factor towards T2DM onset. Additionally, gender and cultural norms influenced physical activity and diet, as these are passed through generations to preserve the collectivist Sikh culture. Exploration of health seeking behaviours also found young Punjabi Sikhs perceived the internet to be the preferred tool to seek T2DM information. These findings hold implications for health professionals, as the information and preventative services provided to Sikhs can be tailored to be culturally appropriate and in line with cultural and gender norms, such as bhangra dancing for physical activity.

Download full-text PDF

Source
http://dx.doi.org/10.1080/13557858.2020.1827141DOI Listing

Publication Analysis

Top Keywords

punjabi sikh
16
physical activity
16
young punjabi
12
knowledge awareness
8
type diabetes
8
risk factors
8
sikh population
8
t2dm
8
well educated
8
preventative services
8

Similar Publications

Article Synopsis
  • - Coronary artery disease (CAD) is a major health issue in India, and this study looked at ten genetic polymorphisms affecting oxidative stress, blood pressure, and lipid metabolism in the Jat Sikh population to understand their link to CAD risk.
  • - The research found that seven of these polymorphisms, specifically M235T, T174M, and A1166C, showed significant associations with increased CAD risk, with some haplotypes linked to higher risk even when accounting for other factors.
  • - A higher polygenic risk score indicated a nearly double risk of developing CAD, highlighting important genetic factors for potential clinical and public health strategies in preventing and managing coronary artery disease.
View Article and Find Full Text PDF

'Reputation, reputation, reputation! Oh, I have lost my reputation!'; A literature review on alcohol addiction in the British Sikh and/or Punjabi community and the barriers to accessing support.

Alcohol Alcohol

January 2024

Child and Adolescent Mental Health Service (CAMHS), Bradford District Care Trust, New Mill, Victoria Road, Saltaire, Shipley BD18 3LD, United Kingdom.

Aims: The literature review aimed to identify the barriers the Punjabi and/or Sikh community have in accessing support for alcohol addiction.

Method: A systematic review of the literature was undertaken of four scholarly databases, Google Scholar and grey literature on UK-based research conducted after 1980 into alcohol addiction in the Punjabi and/or Sikh community. Fourteen papers met the inclusion criteria outlined in the paper and were included in the review.

View Article and Find Full Text PDF

Objective: While the vast majority of farmworkers in California are Latinx, a small proportion of the farmworkers are Asian Indian who primarily speak Punjabi. To date, there are few COVID-19 resources developed that specifically target Punjabi-speaking farmworkers. This study examines the COVID-19 educational needs of Punjabi-speaking farmworkers in California and aims to inform future development of educational materials for Punjabi-speaking farmworkers.

View Article and Find Full Text PDF

Background: STR (Short Tandem Repeat) markers are highly polymorphic markers, which are widely used in forensics DNA analysis and aid to ascertain unique genotype profiles of individuals and determine the genetic diversity of the given population.

Aim: In the present study, an attempt has been made to evaluate the population genetic diversity of the Ramgharia Sikh population of Punjab, India, using 21 autosomal STR loci (D3S1358, vWA, D16S539, CSF1PO, TPOX, D8S1179, D21S11, D18S51, D2S441, D19S433, TH01, FGA, D22S1045, D5S818, D13S317, D7S820, SE33, D10S1248, D1S1656, D12S391, and D2S1338) to augment the emerging forensic database related to the indigenous population of India.

Subjects And Methods: For generation of the database, 200 (blood on FTA card) samples were obtained from genetically unrelated Ramgharia Sikhs residing in the state of Punjab.

View Article and Find Full Text PDF

To assess the burden of type 2 diabetes (T2D) and its genetic profile in endogamous populations of India given the paucity of data, we aimed to determine the prevalence of T2D and estimate its heritability using family-based cohorts from three distinct Endogamous Ethnic Groups (EEGs) representing Northern (Rajasthan [Agarwals: AG]) and Southern (Tamil Nadu [Chettiars: CH] and Andhra Pradesh [Reddys: RE]) states of India. For comparison, family-based data collected previously from another North Indian Punjabi Sikh (SI) EEG was used. In addition, we examined various T2D-related cardiometabolic traits and determined their heritabilities.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!