| Literature DB >> 31046779 |
Shiva Raj Mishra1, Saruna Ghimire2, Chandni Joshi3, Bishal Gyawali4, Archana Shrestha5, Dinesh Neupane6,7, Sudesh Raj Sharma8, Yashashwi Pokharel9,10,11, Salim S Virani12,13.
Abstract
This paper aims to explore the burgeoning burden of cardiovascular and metabolic disease (CMD) risk factors among South Asian labor migrants to the Middle East. We conducted a qualitative synthesis of literature using PubMed/Medline and grey literature searches, supplemented by a policy review of policies from the South Asian countries. We found a high burden of cardio-metabolic risk factors among the migrants as well as among the populations in the home and the host countries. For example, two studies reported the prevalence of diabetes mellitus (DM) ranging between 9 and 17% among South Asian migrants. Overweight and obesity were highly prevalent amongst South Asian male migrants; prevalence ranged from 30 to 66% (overweight) and 17-80% (obesity) respectively. The home country population had a significant CMD risk factor burden. Nearly 14 to 40% have three or more risk factors: such as hypertension (17 to 37%), diabetes (3 to 7%), overweight (18 to 41%), and obesity (2 to 15%). The host country also exhibited similar burden of risk factors: hypertension (13 to 38%), diabetes (8 to 17%), overweight (33 to 77%) and obesity (35 to 41%). Only Nepal, Bangladesh and Sri Lanka have some provisions related to screening of CMDs before labor migration. Further, analysis of policy papers showed that none of the reviewed documents had requirements for screening of any specific CMDs, but chronic diseases were used generically, failing to specify specific screening target. Given the high burden of risk factors, migrants' health should become an urgent priority. The lack of specific focus on screening during different stages of labor migration should receive attention. The International Labour Organization and the International Office for Migration, through their country coordination teams should engage local stakeholders to create policies and plans to address this concern. Similarly, there is a need for the host country to become an equal partner in these efforts, as migrant's better cardiometabolic health is in the benefit of both host and home countries.Entities:
Keywords: Cardiovascular diseases; Diabetes; Labour; Migrants; Migration; Non-communicable diseases; South Asia
Mesh:
Year: 2019 PMID: 31046779 PMCID: PMC6498694 DOI: 10.1186/s12992-019-0468-8
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Fig. 1Flow chart of the review process
A literature review on the prevalence of cardio-metabolicdiseases in south Asian migrants and host population in the Middle East
| Name of the Study | Study Method | Prevalence of Diseases | Risk Factors | Current Understanding | Future Directions | Ref |
|---|---|---|---|---|---|---|
| Hypertension prevalence, awareness, treatment, and control, in male South Asian immigrants in the United Arab Emirates: a cross-sectional study. | A cross-sectional study among 1375 South Asian (Indian, Pakistani and Bangladeshi) adult (≥18 years) male migrant worker at a government visa screening center in the United Arab Emirates (UAE). | The prevalence of hypertension was 30.5%. | In an adjusted analysis, factors associated with participants’ hypertension status were overweight (OR = 1.43; 95% CI 1.01, 2.01); obesity (OR = 2.49; 95% CI: 1.51, 4.10); central obesity (OR = 2.01; 95% CI 1.37, 2.92); family history of hypertension (OR = 1.51; 95% CI 1.05, 2.17); and walking less than 30 min daily (OR = 1.79; 95% CI 1.24, 2.60). | The prevalence of hypertension among young male South Asian immigrants living in the UAE was high. The awareness, treatment, and control of hypertension within this population were very low. | Future initiatives need to consider the sociocultural, religious, ethnic, and educational diversity of this population in the design, development, and implementation of campaigns, interventions, and strategies. Strategies to improve the awareness and control of hypertension among the migrant workers in the UAE is necessary. The public health interventions should target the maintenance of a healthy body size and regular assessment of blood pressure among these populations. | [ |
| Association between acculturation, obesity and cardiovascular risk factors among male South Asian migrants in the United Arab Emirates – a cross-sectional study | Cross-sectional study among 1375 South Asian (Indian, Pakistani and Bangladeshi) male migrant worker at a visa health screening center in Abu Dhabi (UAE) | The prevalence of hypertension and diabetes was 30.5 and 9% respectively. | The crude prevalence of overweight, obesity, and central obesity in South Asian immigrants were 35.4, 9.4, and 63.4% respectively. Overall a small proportion of the study participants reported moderate 26.7% and vigorous, 18.2% physical activity. About 62% never had their blood pressure measured. Around 44% of participants with diabetes and 76% of those with hypertension were not aware of their status. | Overweight, central obesity and hypertension were highly prevalent amongst young South Asian male migrants in the UAE. A diminished ‘Healthy Migrant Effect’ with increased years of residency was observed possibly due to greater acculturation and a transition in lifestyle behaviors. | A validated, contextual- and culturally-specific multidimensional instrument to measure acculturation among South Asian migrant populations in the UAE is lacking. Health initiatives targeting the maintenance of a healthy body size, coupled with regular assessments of glucose control and blood pressure are urgently required in this population. | [ |
| Is Migration Affecting Prevalence, Awareness, Treatment and Control of Hypertension of Men in Kerala, India? | A community-based cross-sectional study among 191 male Gulf migrants and 193 non-migrant workers aged 25–64 years in the Kerala state of India. Gulf countries in the study included UAE, Saudi Arabia, Qatar, Oman, Kuwait, and Bahrain. | Age adjusted hypertension Prevalence was 57.6% among migrants and 31.7% among non-migrants. In adjusted analysis, migrants were more likely to be hypertensive (OR 3.00, 95% CI 1.83–4.94) than non-migrants. | Awareness (migrants vs. non-migrants: 43.5% vs. 56.9%, | Hypertension was highly prevalent among migrants compared to non-migrants. Comparatively fewer migrants than non-migrants had treatment of hypertension or had hypertension under control. Risk factors for hypertension were significantly higher among migrants compared to non-migrants. | The role of stress in the prevalence of hypertension needs to be explored. Efforts should be made to control hypertension prevalence and increase treatment and control of hypertension among migrants along with strategies to reduce the major risk factors such as obesity and low fruits and vegetable consumption. | [ |
| Prevalence of Diabetes among Migrant Women and Duration of Residence in the United Arab Emirates: A Cross Sectional Study | Cross-sectional study among 599 migrants (Filipinos, Arabs and South Asians) women aged 18 years and over at a visa screening center in Al Ain, UAE. South Asians included Indian, Bangladeshis, and Pakistanis. | The prevalence of prediabetes and diabetes among South Asians migrant women were 30.3 and 16.7% respectively. | In adjusted analysis, significant correlates of diabetes included residence in UAE for more than 10 years (OR = 2.74, 95% CI: 1.21–6.20), age 40 years (OR = 3.48, 95% CI: 1.53–7.87) and South Asian nationality (OR 2.10, 95% CI: 0.94–4.70). | Diabetes was highly prevalent among migrant women in the UAE, particularly South Asians. The longer length of residence in UAE is associated with a higher prevalence of diabetes. After ten years of residence, migrant women have three times the prevalence of diabetes compared with more recent arrivals. | There is a lack of validated instruments to measure acculturation amongst migrants in the Gulf region. Future research may aim to develop a contextually and culturally appropriate tool. Further research is required to investigate the dietary and behavioral factors that are contributing to the upward trend in overweight, obesity, and diabetes in migrant women in the UAE. Interventions aimed at the maintenance of a healthy body size and regular assessment of glucose control is recommended. | [ |
Prevalence of non-communicable diseases risk factors in South Asian Countries
| Country (years, references) | Sample | Percentage with three or more risk factorsa | Mean number of servings consumed on average per day | |
|---|---|---|---|---|
| Fruit | Vegetable | |||
| Bangladesh (2010) [ | 9275 adults aged 25 years and above | 28.3 | 1.7 | 2.3 |
| Pakistan (2014–15) [ | 7710 adults aged 18–69 years | 40.0 | 0.6 | 1.2 |
| Bhutan (2014) [ | 2822 adults aged 18–69 years | 13.5 | 0.7 | 3.8 |
| Maldives (2011) [ | 1780 adults aged 15–64 years | 39.5 | 1.0 | 1.0 |
| Nepal (2013) [ | 4143 adults aged 15–69 years | 15.1 | 0.5 | 1.4 |
| Sri Lanka (2015) [ | 5188 adults aged 18–69 years | 18.3 | 1.3 | 3.0 |
aSmoking, lack of physical activity, obesity, fruits and vegetables, blood pressure
Risk factors for cardio-metabolic diseases in home and host countries
| NCD Risk Factorsa | Sample size | Alcohol use | Tobacco use | Low physical activity | Low fruits and vegetable consumption | Diabetes | Hypertension | Hyperglycemia | Hypercholesterolemia | Overweight/Obesity | Mean BMI | Ref |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Home countries | ||||||||||||
| Nepal (2013) | 4143 adults aged 15–69 years | 17.4% | 18.5% | 3.5% | 98.9% | 3.6% | 25.7% | 4.1% | 22.7% | 21.6% overweight and 4.0% obese | 22.4 | [ |
| India (2008) | 38,064 adults aged 15- | 5.8 to 14.3% [ | 9.5 to 44.0% [ | 42.3 to 81.2% [ | 75.7 to 98.9% [ | 16.6 to 21.1% [ | 0.6 to 5.9% [ | 27.1% [ | 9.7 to 25.7% overweight, 1.8 to 8.0% obese [ | 20.1 to 22.7 [ | [ | |
| Pakistan (2014) | 7710 adults aged 18–69 years | – | 13.9% | 41.5% | 96.5% | 3.4% | 37.0% | – | 1.5% | 41.3% overweight and 14.9% obese | 24.5 | [ |
| Bangladesh (2010) | 9275 adults aged 25 years and above | 0.9% (66.7% of this population engaged in binge-drinking) | 26.2% | 27.0% | 95.7% | 3.9% self-reported | 17.9% | – | – | 17.6% overweight | 21.5 | [ |
| Bhutan (2014) | 2822 adults aged 18–69 years | 42.4% | 7.4% | 6.4% (51.5% physical inactivity in 2010 a/c to country profile annexed in Oxford report) | 66.9% | 6.4% | 35.7% | 10.7% | 12.5% | 33.0% overweight and 6.2% obese | 24 | [ |
| Afghanistan (2008) | – | – | 0.7% | – | – | – | 22.5% | – | – | 2.2% obese | – | [ |
| Sri Lanka (2015) | 5188 adults aged 18–69 years | 17.9% | 15.0% | 30.4% | 72.5% | 7.4% | 26.1% | 3.8% | 23.7% | 29.3% overweight and 5.9% obese | 22.9 | [ |
| Maldives (2011) | 1780 adults aged 15–64 years | 0.9% | 18.8% | 45.9% | 93.6% | 4.7% | 16.6% | 6.2% in 2010 a/c to country profile annexed in Oxford report) | – | 37.1% overweight and 11.5% obese | 23.7 | [ |
| Host Countries | ||||||||||||
| Qatar (2012) | 2496 adults aged 18–64 years | – | 16.4% | 45.9% | 91.1% | 16.7% | 16.4% | 5.8% | 21.9% | 70.1% overweight and 41.4% obese | 29.2 | [ |
| Saudi Arabia (2005) | 5000 adults aged 15–64 years | – | 24.2% men and 1.4% women | 67.7% | 91.6% men and 95.3% women | 15.8% men and 14.9% women | 21.3% total, 24.2% men and 18.5% women | 19.6% men and 17.1% women; 18.3% total | 18.6% men and 19.7% women (≥5.2 mmol/L) | 37.9% men overweight, and 28.3% men obese; 27.6% women overweight, 43.8% women obese | 27.0 for men and 29.1 for women | [ |
| UAE (2014–2016) | – | 28.0% among men and 0.9% among women in 2016 among adults aged 18 years or above [ | 30.2% in 2016 [ | – | 8.0% total, 7.8% men and 8.5% women in 2016 [ | 19.1% total, 21.1% men and 13.3% women in 2014 [ | – | – | 70.6% overweight and 34.5% obese in 2016 4 [ | – | [ | |
| Jordan (2007) | 3654 adults aged 18 years and over | 0.9% | 29.0% | 5.2% | 14.2% | 16.0% | 25.5% | 23.8% | 36.1% | 67.4% overweight,36.5% obese | 28.5 | [ |
| Lebanon (2010) | 1982 adults aged 25–64 years | 20.5% | 38.5% | 45.8% | – | 11.2% | 13.4% | 17.9% | 71.9% | 65.4% overweight or obese | 27.5 | [ |
| Kuwait (2015) | 4391 adults aged 18–69 years | 0.8% | 20.5% | 62.6% | 83.8% | 14.6% | 25.1% | 6.1% | 55.9% | 77.2% overweight and 40.2% obese | 29.4 | [ |
| Bahrain (2007) | 1769 adults aged 20 to 64 years | – | 19.9% | – | – | 14.3% | 38.2% | 12.0% | 40.6% | 32.9% overweight and 36.3% obese | 28.54(6.4) | [ |
aOnly STEPS surveys results have been used for the table, as this increases comparability with exceptions where data were not available
Definitions of variables used in the table: Alcohol use (consumed alcohol in the past 30 days); Tobacco use (smokes tobacco in any form either daily or occasionally at the time of the survey);Low physical activity (< 600 MET-minutes per week or < 150 min of moderate-intensity activity per week);Low fruits and vegetable consumption (ate less than 5 servings of fruit and/or vegetables on average per day);Diabetes (plasma venous value ≥126 mg/dl or ≥ _7.0 mmol/L or currently on medication for raised blood glucose);Hypertension (SBP ≥ 140 and/or DBP ≥ 90);Hyperglycemia (percentage with raised fasting blood glucose value ≥110 mg/dl and < 126 mg/dl or ≥ 6.1 mmol/L or currently on medication for raised blood glucose);Hypercholesterolemia (percentage with raised total cholesterol ≥5.0 mmol/L or ≥ 190 mg/dl or currently on medication for raised cholesterol);Overweight (≥25 kg/m2 or Obesity ≥30 kg/m2
Recommendation for the host and home country governments across different time-frames
| Time-frame | Issues | Actors | Recommendations | |
|---|---|---|---|---|
| HOME | HOST | |||
| Short term | Heat and exhaustion | + | Providing adequate hydration at work | |
| Heat and exhaustion | + | Providing heat shields | ||
| False reports | + | Addressing issues regarding false medical reports by enforcing monitoring on screening centers | ||
| Intermediate | Low awareness | + | + | Coordination with provincial and district health offices to raise awareness on importance of lifestyle changes, physical activity and medical checkups even before the migration cycle starts |
| Low awareness | Coordination with companies, recruiting agencies and local health offices to raise awareness on lifestyle, physical activity and medical check ups | |||
| Surveillance and monitoring | + | + | Tracking the out-bound and in-bound migrants and addressing their health outcomes using routine health registers | |
| Surveillance and monitoring | The information obtained from health assessment should be shared not just within migration authorities but also across health sector, and integrated within the health system in host and home country. | |||
| Adherence to medication and treatment | + | + | For those with existing CMD, counselling on adherence to medication, lifestyle changes and physical activity | |
| Long term | Limited health promoting facilities | + | + | Health and wellbeing centers targeting outgoing and in-coming migrants |
| Limited insurance coverage | + | + | The insurance package should cover the health expenses when returning home with CMD, and coverage for any disability/deaths. | |
| Low political priority | + | Cooperation at the ministerial level to accord migrant’s cardio metabolic health as a top priority. The first step will on providing exercise facility, adequate space to live and provision for adequate nutrition and hydration at work. | ||
Abbreviation: CMD cardio-metabolic disease
+ shows where the actions are needed
Fig. 2System map of social determinants of CMD among labour migrants of South Asia Region. ‘R’ denotes a reinforcing loop and ‘B’ denotes a balancing loop. More description about them is available in reference [12] and [13]. Abbreviations: CMD: cardio metabolic disease;’ SE: socio-economic