1. Introduction
Premature death resulting from non-communicable diseases (NCDs) is increasing over time, with NCDs accounting for about 71% (41 million) of deaths worldwide.[
1] Cardiovascular diseases (CVDs) is the major cause of death globally, accounting for 30% of all global fatalities and 44% of all NCD-related deaths [
2]. Based on the Global Burden of Disease (GBD) 2019 estimate, the total CVD prevalence was 523 million, and 18.6 million CVD deaths [
3]. CVDs are regarded as the major consequence of dietary risks. Annually, almost 8 million deaths and 188 million disability-adjusted life years (DALYs) are attributed to dietary risks.[
3] Excess sodium consumption is one of the major dietary risk factors. Due to excess dietary sodium consumption, there were over 1.89 million deaths and over 44.87 million DALYs [
4]. High sodium consumption is related to hypertension development which is attributed to two major CVD, stroke and coronary heart disease. Moreover, high sodium consumption is also found to be associated with obesity, osteoporosis, renal disease, and gastric cancer [
5,
6]. In addition to health problems, there is also a significant social, developmental, and financial loss to families affected by hypertension from caregiving and premature mortality [
7]. The growing burden of the consequences of salt consumption must be reduced through lifestyle changes and strengthening the country-specific food policy environment.
The World Health Organization (WHO) has recognized salt reduction as a “best buy”, or one of the most cost-effective and feasible interventions to reduce the burden of NCDs [
8]. WHO member states have committed to lowering mean population salt intake by 30% by the year 2025 [
9]. The global sodium intake estimated in 2019 was 4.3 g/day (10.8 g/day salt) and the second highest was reported from the Southeast Asian region which is 3.9 g/day (9.8 g/day salt) [
9]. Processed foods and meals made outside the house account for over 75% of salt in many high-income nations' diets [
10]. In contrast, discretionary salt use is the major source of dietary sodium in many low-and middle-income nations. As a result of the rapid urbanization and expansion of food industries, South Asian countries have undergone an epidemiological transition, moving from their traditional diets to diets high in processed foods [
11]. The GBD study of 2017 showed that the average salt intake of the South Asian population is around 10.16 g/day which is more than double the WHO-recommended daily salt intake level [
2]. Estimating dietary salt intake at the population level is challenging and resource intensive, particularly to collect repeated 24-hr urinary sodium excretion, which is considered the Gold Standard for measuring salt consumption level. Another method, spot urinary estimation of sodium, is less accurate but may work as a useful alternative to 24-hr urinary sodium excretion to measure the change in mean population sodium intake over time. Other methods, such as applying the Kawasaki, Tanaka, and INTERSALT formulas to estimate 24-hour urine or monitor changes in population salt intake, are not suitable, as they systematically underestimate higher salt intakes and overestimate lower salt intake [
12].
In order to effectively monitor policies and strategies undertaken, countries need a reliable estimate of the population’s mean salt intake level. Various methods have been used by countries to estimate population salt intake, ranging from dietary recall questionnaires to the gold standard estimation by multiple 24-hour urinary sodium measurements. Comparative documentation on the reliable estimate of population-based salt intake of different countries will enhance the expansion of salt reduction initiatives. There is limited comparative evidence on the current salt consumption situation of South Asian countries. A recent review conducted by Ghimire et al. identified all the studies reporting salt intake by South Asian countries, including studies on specific sub-populations (i.e., hospital admit patients) as well as studies that estimated salt intake by any method, which found a range of salt intake from 4.4 (4.1-4.7) g/day to 17.0 (13.8-20.2) g/day [
13]. However, given the wide inclusion criteria that likely captured non-nationally representative populations and some studies using unreliable estimating methods, there remains some uncertainty as to the range of reliable estimates for population-level salt consumption across the region. This review is aimed to build on the Ghimire et al. study to compile the current reliable population-based estimates of salt intake in the South Asian countries. This document could be used in awareness raising- and salt reduction advocacies providing evidence on high salt intake by these regional countries.
2. Methods
In this study, we adopted the common framework of a scoping review - 1) Identifying the research question; 2) Identifying relevant studies; 3) Selection of studies; 4) Data charting; 5) Collating, summarizing, and reporting the results; 6) Consultation with other reviewers (optional and was not adopted in this research).
2.1. Stage I: Identifying the Research Question
For this review, the research question was: What is the current state of salt consumption level in South Asia identified by the original research?
2.2. Stage II: Identifying Relevant Studies
A thorough search of the literature for relevant studies was done using the appropriate keyword sets. We searched for both academic articles and grey literature (
Table 1 for list of databases), including reference lists. Every available keyword was used. (
Table 2 for list of keywords) using boolean operators: OR” and “AND” accordingly.
2.3. Stage III: Study Selection
Extensive searches of multiple databases generally reveal many repetitive or irrelevant studies requiring a disposal mechanism. Thus, we removed any duplicate entries. Additionally, we developed relevant inclusion and exclusion criteria for our research questions. We defined South Asia as SAARC nations (Afghanistan, Bangladesh, India, Nepal, Pakistan, Sri Lanka, Bhutan, and Maldives), and only included studies from these countries. We included studies where population salt intake was estimated using urinary samples, either spot or 24-hr, or both. We excluded studies that did not report the salt intake by standard statistics or only reported percentages. Additionally, we excluded studies conducted only on special populations (e.g., hospital-admitted). We only selected studies that were published in English. Our study selection procedure consisted of two phases. First, we reviewed the article titles and abstracts to ensure they fulfilled our inclusion criteria. Second, we obtained full texts of the articles from the first phase that we had decided to keep, reviewed them, and then removed any that were not relevant to the research question. Figure 1 shows the study selection process as a flowchart.
2.4. Stage IV: Data Charting
The following data was gathered from the selected articles: author(s), year of publication, type of study, study population, method of estimating salt, and amount of salt intake mentioned. This data was graphed in Microsoft Excel. The search strategy is presented below through the PRISMA diagram (Figure 1).
2.5. Stage V: Reporting Results
Scoping studies do not seek to assess the quality of literature; rather, they seek to create a description of what research exists or to design a thematic structure to provide a comprehensive picture of research in a certain topic area. We attempted to order the included articles according to the study methods.
2.6. Units
In this review, we expressed the amount of salt in g/day. Urinary sodium excretion is often expressed as milliequivalent or millimolar sodium. In many studies reviewed here, authors converted urinary sodium to dietary salt using relevant formulas. In some of the articles included in this review, dietary salt was reported in the form of sodium. As our objective of this review was to identify daily dietary salt intake instead of dietary sodium, thus, to maintain consistency in reporting, we converted dietary and urinary sodium values to salt intake expressed/ estimated in g/day using the same formula. We used these formulae to convert the sodium to salt.: 1 mmol Na= 1 mEq Na; 1mEq Na= 23 mg Na; 1000 mg Na (1g Na) = 2.54 g salt.[
14]
3. Results
3.1. Selected studies
Using the pre-determined search terms, 1940 articles were identified through the published database, and 100 articles from the grey literature database. Two survey reports were also included from the WHO STEPwise approach to NCD Risk Factor Surveillance (STEPS) official website.[
15] Additionally, 1 unpublished report was included from personal contact with the researcher, for a total of 2043 records. After 711 duplicate entries were removed, 1332 articles were reviewed using inclusion and exclusion criteria. Following the title screening, 1064 articles were excluded. During the abstract screening, 220 of the 268 articles were eliminated. The remaining 48 records were given a complete text evaluation, with 12 of them meeting the study's requirements and being included in the review (Figure 1).
3.2. Characteristics of the included studies
Our scoping review of salt intake includes one study from Afghanistan (n=1), Bhutan (n=1), Pakistan (n=1), and Sri Lanka (n=1), two studies from Nepal (n=2), and three studies from Bangladesh (n=3) and India (n=3). Nationally representative research was available in Afghanistan, Bangladesh, Bhutan, Nepal, and India, but was absent for Pakistan and Sri Lanka. We are unable to find any studies for the Maldives. Six studies included in this review estimated salt intake by using spot urine and six studies used 24-hr urine samples. (
Table 4 shows the characteristics of the studies included in our study, and
Table 5 shows the salt level of the included study)
Table 3.
Inclusion and exclusion criteria of study selection.
Table 3.
Inclusion and exclusion criteria of study selection.
Inclusion Criteria |
Exclusion Criteria |
Studies conducted in SAARC countries (Afghanistan, Bangladesh, India, Nepal, Pakistan, Sri Lanka, and Bhutan)
|
|
- 2.
Studies estimated salt/sodium intake by measuring urinary sodium excretion
|
- 2.
Studies conducted on only special sub-populations
|
- 3.
Study conducted among minimum of 100 participants
|
- 3.
Studies conducted among pregnant women or children
|
- 4.
Written in the English language
|
|
- 5.
Published between January 2011 to October 2021
|
|
Table 4.
Characteristics of studies that examined salt intake.
Table 4.
Characteristics of studies that examined salt intake.
Country |
Authors |
Year |
Type of Study |
Sampling technique, study population, sample size, sample characteristics (age and sex) |
Methods of estimating sodium intake and equation for estimation from spot urine |
Afghanistan |
WHO[16] |
2018 |
Population-based national cross-sectional STEPS study |
3956 community dwellers, aged 18-69 years and 48.8% female were selected by multistage stratified random sampling technique |
Spot urine, INTERSALT |
Bangladesh |
WHO [[19] |
2018 |
Population-based national cross-sectional STEPS study |
9900 individuals aged 18-69 years and 50.7% female were selected by a multistage geographically stratified probability-based sampling process. |
Spot urine, Tanaka |
Rasheed et al. [21] |
2014 |
Cross-sectional study |
388 individuals from a community were randomly chosen for a cross-sectional household survey in Chakaria, a rural area of Bangladesh. The participants' mean age was 44.6 years, with 50% of them being female. |
24-hr urine |
Choudhury et al. [22] |
- |
Cross-sectional study |
839 community members were randomly chosen from the urban and rural areas of Khulna, Dhaka, and Rangpur, aged 30-59 years, and 49.8% female |
24-hr urine |
Bhutan |
WHO [18] |
2014 |
Population-based national cross-sectional STEPS study |
2816 individuals aged 18-69 years and 61.9% were female selected by multistage cluster sampling |
Spot urine |
India |
Mathur et al. [20] |
2021 |
Nationally representative cross-sectional study |
2266 participants aged 18 to 69 years and 48.2% female, were chosen using a stratified multistage selection technique. |
Spot urine, INTERSALT |
Johnson et al. [24] |
2017 |
Cross-sectional study |
637 adults, the average age was 40.2 years and 48.2% were female selected from urban, rural, and slum areas in north India (Delhi and Faridabad, Haryana) and in south India (Hyderabad and West Godavari, Andhra Pradesh). |
24-hr urine |
Sarma et al. [23] |
2019 |
Community-based cross-sectional study |
12,012 participants were selected by the multistage cluster sampling method. Participants aged 18-69 years, and 62.8% were female |
Spot urine, modified Kawaski |
Nepal |
WHO [17] |
2019 |
Population-based cross-sectional STEPS study |
5593 adults selected through multistage cluster sampling technique, aged 55-69 years, and 63.3% were female |
Spot urine, INTERSALT |
Neupane et al. [25] |
2019 |
Cross-sectional study |
451 randomly selected participants, with a mean age of 49.6 years, and 65.4% were female |
24-hr urine |
Pakistan |
Saqib et al. [26] |
2020 |
Cross-sectional study |
120 participants were chosen using a non-probability convenient sampling method; the average age was 26.5 years, and 23% were female. |
24-hr urine |
Sri Lanka |
Jayatissa et al. [27] |
2020 |
Cross-sectional study |
328 randomly selected community residents aged 30-59 years, with 53.7% being female |
24-hr urine |
Table 5.
Amount of salt intake in South Asian countries reported by studies.
Table 5.
Amount of salt intake in South Asian countries reported by studies.
Country |
Authors and year |
Method of measuring sodium intake |
Level of salt intake (g/day) |
Average |
Male |
Female |
Afghanistan |
WHO (2018) [16] |
Spot urine |
12.1 (11.1-13.1) |
12.5 (10.9-14) |
11.8 (10.5-13.1) |
Bangladesh |
WHO (2018) [19] |
Spot urine |
9 (8.9-9.1) |
12.5 (10.9-14.0) |
11.8 (10.5-13.1) |
Rasheed et al. (2014) [21] |
24-hr urine |
6.7 |
- |
- |
Choudhury [22] |
24-hr urine |
9.0 (9±4.3) |
- |
- |
Bhutan |
WHO (2014) [18] |
Spot urine |
9 (8.8-9.1) |
9.6(9.4-9.8) |
8 (7.9-8.2) |
India |
Mathur et al. (2021) [20] |
Spot urine |
8.0 (7.8-8.2) |
8.9 (8.7-9.2) |
7.1 (6.9-7.2) |
Johnson et al. (2017) [24] |
24-hr urine |
Andhra Pradesh: 9.5 (9.1-9.9) Delhi and Haryana: 8.6 (7.9-9.5) |
- |
- |
Sarma et al. (2019) [23] |
Spot urine |
6.7 (6.6-6.8) |
5.3 (5.2-5.4) |
7.5 (7.4-7.6) |
Nepal |
WHO (2019) [17] |
Spot urine |
9.1 (9.0-9.2) |
9.6 (9.4-9.8) |
8.7 (8.6-8.8) |
Neupane et al. (2019) [25] |
24-hr urine |
13.3 (12.8-13.7) |
14.4 (13.6-15.2) |
12.7 (12.2-13.2) |
Pakistan |
Saqib et al. (2020) [26] |
24-hr urine |
8.7 (4.2-13.1) |
9.2 (4.7-13.8) |
8.7 (4.2-13.1) |
Sri Lanka |
Jayatissa et al. (2020 [27] |
24-hr urine |
8.4 (7.9-8.8) |
9.0 (8.3-9.8) |
7.7 (7.2-8.2) |
3.3. Countries with national salt intake estimates
Based on nationally representative studies, we noted that Afghanistan had the highest average salt consumption in this region (12.1 g/day) [
16], followed by Nepal (9.1 g/day) [
17], Bhutan (9 g/day) [
18], Bangladesh (9 g/day) [
19], and India (8 g/day) [
20]. All those studies used the spot urine methods to estimate sodium excretion. In all countries, men consume more salt than women. (Fig 2 shows the distribution of salt intake according to gender).
3.4. Salt Intake in Available Studies of South Asia
In our review, we found salt intake varies from country to country in the South Asian region. In the reviewed seven countries of South Asia, we included 12 studies. The level of salt intake of the reviewed countries is given in
Table 5.
3.4.1. Afghanistan
In this review, we identified a nationally representative STEPS survey report of Afghanistan [
16]. The INTERSALT equation was used in the survey to estimate the population’s 24-hour salt intake based on sodium levels in spot urine samples. The average salt intake was 12.1 grams per day. Afghani men consumed more salt (12.5 g/day) than women (11.8 g/day). Almost one-third (32.4%) of the population added salt before eating or during eating, and almost all the people (98%) use salt during cooking. 12.1% of participants regularly or always eat processed meals high in salt, and most were between 15 and 29 years old.
3.4.2. Bangladesh
Based on our criteria, two published articles, and one unpublished report from Bangladesh were included in our review. Among the included studies, two used spot urine samples, and one used 24-hr urine samples. Salt intake in the Bangladeshi population ranged from 6.7 g/day [
21] to 9 g/day [
22]. According to the STEPS survey which used the spot urinary sampling method, dietary salt intake (9 g/day) was 1.8 times above the limit [
19]. Almost half (48.2%) of the population added salt before or during eating. 1.8% of respondents in the survey said they frequently or always add salty sauce. 13.5% of people consumed salty processed foods on a regular basis. Using a single 24-hour urine sample, Rasheed et al. [
21]. determined that the average daily salt intake was 6.7 g/day in Chakaria, a coastal district of Bangladesh. Another study conducted by Choudhury et al. [
22] in 3 divisions of Bangladesh using a 24-hr urine sample, found salt intake was 9g/day.
3.4.3. Bhutan
Under this review, we explored Bhutan's nationally representative STEPS survey [
18]. The INTERSALT equation was used to calculate 24-h urinary salt using spot urine. Bhutanese people consumed almost double (9 g/day) sodium compared to the WHO recommendations. 41.6% of the population reported that they often or always added salt to their meals and 11.1% of the population said they ate salty processed foods. In urban regions (18.8%), processed foods are consumed more frequently than in rural areas (7.5%).
3.4.4. India
A nationwide representative study, a multistate study (Delhi and Haryana from north India, and Andhra Pradesh from south India), and a third study from South India were all included in this review based on the predetermined criteria. Reported dietary salt intake in the studies ranged from 6.7 g/day [
23] to 9.5 g/day [
24]. In 2017-2018, the Countrywide NCD Monitoring Study (NNMS) performed a national cross-sectional survey, where average salt consumption was 8 g/day, and 15.1% of the population added salt frequently or constantly before or during eating [
20] Johnson et al. [
24] estimated salt intake using 24-hr urinary sample and found average salt intake was 8.6 g/day in Delhi and Haryana and 9.5 g/day in Andhra Pradesh. The study conducted by Sarma et al. [
23] found that daily salt intake was 6.7 g/day using spot urine samples South Indian population.
3.4.5. Nepal
We found two studies from Nepal that assessed salt intake, one used 24-hr urinary samples conducted by Neupane et al. [
25], and another one used spot urine samples which was a STEPS survey [
17]. The STEPS survey found that the daily population salt consumption was 9.1 g/day, and the highest salt intake (9.4 g/day) was reported in the younger age group (25-39 years). 4.5% of respondents said they used salty sauces, and 5.6% said they added salt before or while eating. 19.5% regularly or always ate processed foods rich in salt [
17]. Neupane et al. conducted a study in the Kaski district of Western Nepal estimated daily salt intake was 13.3 g/day and was significantly associated with the male gender and younger age group [
25].
3.4.6. Pakistan
A study conducted by Saqib et al. [
26] in Islamabad using a 24-hr urinary sample found salt intake was 8.4 g/day which was 1.5 times higher than the WHO recommended maximum daily intake level and females consumed more salt than males. That study also reported an association of discretionary salt usage with the male gender (p <0.004) and adding salt during cooking (p <0.0001). A majority (71%) of the participants were using salt in their daily food while more than half were also adding extra salt at the dining table,
3.4.7. Sri Lanka.
Our analysis discovered one study from Sri Lanka that estimated daily salt intake. We were unable to locate any nationally representative study. Using a 24-hr urinary sample, Jayatissa et al. found that salt intake was 8.4 g/day which was significantly higher in males (9.0 g/day) than females (7.7 g/day) [
27].
4. Discussion
In this review, we compiled reports on population-based salt intake in South Asian countries. Our review presents a comprehensive view of the reliably measured estimates of salt intake in South Asian populations. Findings from this review suggest that the reports on salt intake of South Asian countries varied widely between 6.7 g/day [
21,
23] to 13.3 g/day [
25]; in the nationally representative studies, this range was 8 g/day [
20] to 12.1 g/day [
16]. In both country-representative and non-representative studies salt intake is much higher than the WHO-recommended maximum intake. The intake level is fairly comparable to the findings of the previous reviews conducted on Southeast Asian nations, which range from 6.5 g/day to 9.9 g/day. High daily salt intake is also common in developed countries such as Europe where salt intake ranged from 6 g/day to 15 g/day [
28]; and nearly double the WHO-recommended limit in Australia (9.0 g/day) [
29], and in US adults (9.2 g/day) [
30].
In every country except Pakistan, men consumed more salt than women did, according to our findings. All the nationally representative studies in the review reported that men consumed more salt than women. This aligns with reviews by Kwong et al. [
28] and Batcagan-Abueg et al.[
31] that looked at salt consumption in Europe and Southeast Asia, respectively. It has been suggested that men's higher salt intake is attributable to their higher overall food intake when compared to women. Another explanation might be eating out of home, which is more common in males than in women, given that food prepared outside the home is often higher in salt than home-cooked foods [
32].
Having an accurate assessment of the salt consumption levels in a population is useful for planning, advocating for, and monitoring salt reduction strategies. Not having nationally representative information about the population’s salt intake can impede the formation of salt reduction initiatives, and more nationally representative studies using 24-hour urine collections are recommended for countries lacking this data. However, this study demonstrates that salt intake is high, consistently above the WHO recommendations across South Asian countries. Therefore, even where nationally representative studies do not exist, salt reduction strategies can still be recommended and countries in the region should not delay efforts to develop policies and strategies to lower the salt consumption of their countries.
Given the negative effects of excessive salt consumption, 194 member states of WHO committed to reduce population salt intake by 30%. Reducing salt in commonly consumed foods is an efficient method of salt reduction. While many developed nations have distinct policies in place to reduce salt consumption, particularly in processed packaged foods, few low-and middle-income countries have developed policies, despite the increasing consumption in most countries. Setting sodium targets to mandate reformulation of processed packaged food is a simple and effective way to reduce the population’s daily sodium consumption. 34% of WHO member states have implemented policies to reformulate processed food to reduce the sodium content, and 28% of states have public food procurement and service policies. Nutritional labeling, particularly front-of-pack labeling (FOPL) of pre-packaged foods is an effective tool that enables consumers to make healthier choices and may help avoid sodium-rich foods. 21% of member states have implemented FOPL. Sri Lanka has a mandatory FOPL system to reduce the growing burden of NCD. Bangladesh and India have a policy of mandatory declaration of sodium in pre-packaged foods; Maldives and Nepal have only a national policy commitment to reduce sodium. Further efforts, including policy development, are urgently required by South Asian countries’ governments, along with sustained leadership and a strong commitment to sodium reduction. Multi-sectoral involvement is needed to achieve population-wide sodium reduction. Civil society and media personnel can help in creating population awareness, but food industries must ensure compliance on their part, with government agencies and academia monitoring implementation.
This study has a few limitations We were unable to identify relevant publications, studies, or statistics on salt intake in the Maldives. Further, data were not pooled for meta-analysis. Our review is confined to articles published in English, so we may have missed additional relevant studies in local languages. To our knowledge, we included the most recent studies between January 2011 and October 2021. One of this study’s strongest features is that it contained a thorough search of all literature on population salt intake in the region, including both individual and nationally representative research, and we included only studies that estimated salt intake using 24-hr or spot urine samples.
5. Conclusion
Information on salt intake in South Asia is limited. Afghanistan, Bangladesh, Bhutan, India, and Nepal, have nationally representative data on population-level salt intake, while Pakistan and Sri Lanka’s salt consumption data is not nationally-representative. None of the nationally representative studies estimated salt intake using the gold standard 24-hour urinary excretion method. The salt estimation techniques of the studies included in this review varied. Thus, it is difficult to confirm whether differences in the level of salt intake are reflected by different dietary habits or because of the differences in methodological approaches. Studies of this review suggest that salt intake levels in all countries remain higher than the WHO-recommended maximum level of daily intake. To lessen the burden of NCDs linked with high salt intake, governments must urgently prioritize implementing policies focusing on reducing salt intake throughout the nations of the South Asian region.
Author Contributions
Conceptualization, U.A. and A.K.A.; methodology, U.A., A.N., J.A. and A.K.A.; investigation, U.A. and A.N; resources, U.A.; systematic database search, U.A. and A.N.; data curation, U.A., J.A., A.N. and A.K.B.; writing—original draft preparation, U.A.; writing—review and editing, A.K.B., L.C. and N.I.; supervision, S.M.M.S., M.A.A.M. and S.R.C.; critical review of country-specific data and of manuscript, J.A., M.A.A.M, S.M.M.S., L.C., N.I, S.R.C. All authors have read and agreed to the published version of the manuscript.
Acknowledgment
Other than authors none is to acknowledge.
Conflicts of Interest
The authors have no competing interests to declare.
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Table 1.
List of databases searched.
Table 1.
List of databases searched.
For published article |
For grey literature |
PubMed |
Open grey |
MEDLINE |
Google Scholar |
EMBASE |
WHO official database |
EBSCO |
Key informant consultation |
|
Country-specific Govt. website |
Table 2.
Search terms used in the scoping review.
Table 2.
Search terms used in the scoping review.
Topic |
Search Terms |
Salt |
Salt OR Sodium OR Sodium Chloride |
Consumption |
Intake OR Ingest OR Eat OR Consume OR Diet |
Excretion |
Urine OR Excrete OR 24-hour urine OR Spot urine |
South Asia |
Asia OR South Asia OR Afghanistan OR Bangladesh OR India OR Nepal OR Pakistan OR Sri Lanka OR Bhutan OR Maldives |
Search string: (Salt OR Sodium OR Sodium Chloride) AND (Intake OR Ingest OR Eat OR Consume OR Diet) AND (Urine OR Excrete OR 24-hour urine OR Spot urine) AND (Asia OR South Asia OR Afghanistan OR Bangladesh OR India OR Nepal OR Pakistan OR Sri Lanka OR Bhutan) |
|
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