Skip to main content

Is socio-demographic status, body mass index, and consumption of food away from home associated with high sodium intake among adults in Malaysia?: findings from the Malaysian Community Salt Survey (MyCoSS)

Abstract

Background

Studies have shown that having away from home meals contributes to high sodium intake among young people and those who lived in urban areas. This study aimed to determine the association between dietary sodium intake, body mass index, and away from home meal consumption behaviour among Malaysian adults.

Methods

MyCoSS was a cross-sectional household survey involving 1440 adults age 18 years and above. This study utilized stratified cluster sampling to obtain a nationally representative sample. Data was collected between October 2017 and March 2018. Socio-demographic information, dietary assessment using food frequency questionnaire (FFQ), and away from home meal consumption were assessed through a face-to-face interview by trained health personnel. Descriptive analysis and logistic regression were applied to identify the association of socioeconomic status and away from home meal consumption with dietary sodium intake.

Results

A total of 1032 participants completed the FFQ, with a mean age of 48.8 + 15.6 years. Based on the FFQ, slightly over half of the participants (52.1%) had high sodium intake. Results showed that 43.6% of participants consumed at least one to two away from home meals per day, while 20.8% of them had their three main meals away from home. Participants aged less than 30 years old were the strongest predictor to consume more sodium (adjusted OR: 3.83; 95%CI: 2.23, 6.58) while those of Indian ethnicity had significantly lower sodium intake. Surprisingly, having three away from home meals per day was not associated with high dietary sodium intake, although a significant association (crude OR; 1.67, 95% CI: 1.19, 2.35) was found in the simple logistic regression. Obese participants were less likely to have high dietary sodium intake compared with the normal BMI participants in the final model.

Conclusion

Over half of the participants consumed sodium more than the recommended daily intake, especially those who consumed three away from home meals. However, there was no significant association between high sodium intake and having three away from home meals per day. The promotion of healthy cooking methods among the public must continue to be emphasized to reduce the dietary sodium intake among Malaysian adults.

Background

Modern lifestyle and time scarcity have contributed to an increasingly prevalent habit of eating out in Malaysia, especially in the urban areas as indicated by the rise in food expenditure from 10.7 to 11.3% between 2016 and 2019 across all household income classes [1]. Eating meals away from home was associated with a relatively higher intake of energy, sodium, and fat and a lower intake of micronutrients. As the frequency of eating meals away from home increases, the risk of non-communicable diseases such as hypertension and obesity also increases [2,3,4]. It is well-known that one of the preventable risk factors for high blood pressure is excessive sodium intake from the diet [5, 6]. Based on the National Health and Morbidity Survey conducted in 2019, the prevalence of adults having hypertension was 30.0% [7].

A local study conducted by the Institute for Public Health (IPH) in 2014 found that the median dietary intake of sodium was 1935 mg/day among Malaysian working adults [8]. Men were found to consume a slightly higher amount of sodium (1970 mg) compared to women (1914 mg). IPH conducted a subsequent survey in 2015 [9], where the sodium intake was assessed based on 24-h urinary excretion among the staff of the Ministry of Health Malaysia and had found that the sodium intake was 1.5 fold higher (3446 mg/day) than the previous finding. This difference may be because sodium captured in the 2014 study was based on dietary intake, while the study conducted in 2015 used urinary sodium. This study identified that the three main high sodium-containing foods commonly consumed by the working adults are light soy sauce (225.3 mg/day), fried rice (162.8 mg/day), and an omelet (156 mg/day). The finding by IPH (2015) was alarming because the consumption of sodium exceeded the amount recommended by the World Health Organization (WHO) (<2000 mg/day) and the Recommended Nutrient Intake (RNI) for Malaysia (2300 mg/day) [10]. Another narrative review study among six southern countries, including Malaysia, revealed that sodium intake assessed using 24-h diet recall among Malaysian adults was 2575 mg/day, with slightly higher consumption among males compared to their female counterparts [11].

Several studies have been conducted to investigate the relationship between meal patterns and sodium intake. An Australian study showed that dinner contributed to the highest dietary sodium intake per day compared to lunch or breakfast [12]. Shanghai Diet and Health Survey study among adults aged 18 years and above reported that eating at restaurants was associated with higher sodium intake [13]. Another study at Minneapolis/St. Paul metropolitan area of Minnesota, by Larson (2011), reported those consumed foods prepared away from home to tend to have higher sodium intake sodium [14]. Although there were studies from overseas to explore the link between having away from the home meals and sodium intake as well as blood pressure, there is a lack of local study to investigate the association between having away from the home meal and dietary sodium intake among Malaysian adults. Therefore, the objectives of the present study were to examine the associations between socio-demographic status, body mass index, and away from home meal consumption with high sodium intake in a nationally representative sample of Malaysian adults.

Methods

Data from the Malaysian Community Salt Survey (MyCoSS), secondary data which was collected between October 2017 and March 2018 was utilized. MyCoSS was a cross-sectional, nationally representative household survey involving 1440 adults aged 18 year and above. A stratified cluster sampling method was applied to ensure national representativeness by strata. The population included residents from non-institutional living quarters (LQs), while institutionalized residents such as occupants of hotels, hostels, hospitals, and prisons were excluded from the survey. Participants who were pregnant, menstruating during the urine collection period, diagnosed with kidney failure, heart failure, or liver disease, as well as those who had difficulty with urine collection and had recently taken diuretics within the 4 weeks preceding the study were also excluded from the study.

The sample size was calculated using the formula for estimating population prevalence. Findings from the previous study about salt intake among health workers in Malaysia (MySalt 2015) were used for sample size calculation for this study [9]. Analyses were done based on all objectives, and the largest sample size was the objective of knowledge about the impact of high salt intake on health problems which was 60%. The optimum sample size for a stratum was 520 with a confidence level of 95% and an estimated design effect of 1.5. With consideration of 25% non-response rate, the sample size was inflated to 650 for one stratum. Therefore, a total of 1300 participants were needed to represent the adult’s residents in rural and urban in Malaysia.

Socio-demographic characteristics, body mass index, and away from home meals

Socio-demographic information collected in the survey included gender, ethnicity, marital status, locality, education levels, employment status, and household income.

Trained health personnel measured the body weight and height of each participant in light clothing without shoes using a calibrated digital weighing scale (Tanita HD 319, Japan) and stadiometer (SECA 213, Germany). Body mass index (BMI) was calculated and categorized based on the WHO 1998 Classification [15].

Meal pattern was assessed through interviews using a pre-tested questionnaire developed for this study. Meal pattern refers to the commonly practised meal by the respondents. Data was collected on main meal intake (breakfast, lunch, and dinner) in a day and sources of those meals (at home or away from home). Having breakfast, lunch, and dinner away from home were then grouped into the category of “having three away from home meals.”

Dietary sodium intake assessment using Food Frequency Questionnaire (FFQ)

A pre-tested FFQ with 104 high sodium content food items (≥0.25 g salt/serving or ≥0.1 g sodium/serving) was used to determine the dietary sodium intake. The FFQ was developed based on food intake from 24-h diet recall assessment from a previous study in Malaysia [9]. This FFQ contains 11 food groups, which are meat and products; fish/seafood and products; eggs; spread; local delicacies bread; snacks; seasoning/flavoring/sauces; fast food; cooked food; other cooked foods and canned foods. Participants reported their frequency intake (daily or weekly or monthly) and portion consumed for each food item in the FFQ. A food album was developed to assist the participants in identifying food items in the FFQ. Most of the food items consumed by the respondents can be analyzed using Malaysia nutritionist pro database. If the food was not captured in the database, other references such as the Malaysia Food Composition Database (MyFCD) and Singapore Food Database were used. Household measurement utensils (such as cups, plates, spoons, and bowl) were used to estimate the portion size of the food intake. Dietary sodium intake was calculated using the formula below [16]:

(Frequency of food item intake /day) × (portion size in gram) × (sodium content/100 g)/100).

For this study, high dietary sodium intake defined as and categorized as ≥2000 mg/day.

Statistical analysis

All statistical analysis was performed using the IBM SPSS version 23 (IBM Corp., Armonk, NY, USA). Descriptive statistics were computed, and data was tabulated according to socio-demographic status and related variables. Logistic regression analysis was conducted to identify the association between high sodium intake and socio-demographic characteristics, BMI, and away-from-home meal consumption. Socio-demographic characteristics, away from home meals and BMI, were the independent variables and dietary sodium intake derived from FFQ was the dependent variable in this study. All statistical analysis was described using a 95% confidence interval, and p value < 0.05 was considered to be significant.

Results

Socio-demographic characteristics, away from home meal consumption, and sodium intake of the participants

Of 1440 participants, 1032 participants completed and answered their food intake through Food Frequency Questionnaires (FFQ). Table 1 depicts the socio-demographic characteristics, away from home meal consumption, and dietary sodium intake of the participants. Majority of the participants were aged 50 years and above (52.1%) and were females (59.1%). Almost two-thirds of the participants were of Malay (63.0%) ethnicity, and most of them were married (72.5%). The participants from rural areas were slightly more (58.5%) than from urban areas. There were higher percentages of participants who completed secondary school (47.8%), earned household income less than RM 1000 per month (31.2%), and were housewives (28.5%). More than half of the participants were found to be overweight or obese (61.0%). Having breakfast away from home (55.0%) was the most common meal away from home while lunch and dinner only represent 35.6% and 34.4%, respectively. Besides, 64.4% of participants consumed at least one meal away from home, while 20.8% of participants reported consuming all three meals away from home. Overall, 52.1% of participants were found to have high dietary sodium intake.

Table 1 Socio-demographic characteristics, away from home meal consumption, and sodium intake of the participants (n=1032)

Table 2 shows that younger age adults were more likely to have high dietary sodium intake (<30 years old: aOR = 3.83, p<0.001, 30 to <40 years old: aOR= 2.75, p<0.001, and 40 to <50 years old, aOR = 1.67, p=0.009) compared to the adults aged 50 years and above. There was an association between sodium intake and gender, whereby males had a 32% higher tendency to consume more sodium daily compared to female (crude OR = 1.32, p value = 0.030). However, this association was not seen in the multivariate model. Those of Indian ethnicity consumed significantly lower dietary sodium compared to those of Malay ethnicity. The results indicate that participants of the Indian ethnicity had a 54% lower tendency to consume high sodium foods compared to Malays (adjusted OR = 0.46, p value = 0.009). The association between sodium intake and marital status was also found in the present study whereby, participants who were separated or widowed had a 62% lower tendency to consume high sodium foods compared to single participants (crude OR = 0.38, p value < 0.001). However, the associations were not significant in the final model. Surprisingly, the present study also found that participants with secondary and tertiary education had a higher chance to over-consume sodium in a day. Participants with tertiary education had 2.43 times higher tendency to over-consume sodium compared to those with no formal education (crude OR = 2.43, p value < 0.001).

Table 2 Associated factors of high sodium intake by socio-demographic characteristics and away from home meal consumption

Furthermore, housewives were found to have a 35% lower risk of over-consume sodium compared to those working in the public sector. There was a significant association between sodium intake and household income as those earning RM 2000 and above had a higher tendency to over-consume sodium. Those who earned RM 3000 to RM 4000 per month had 1.95 times higher risk to consume high sodium per day compared to those earning less than RM 1000 per month (crude OR = 1.95, p value = 0.002). However, the association was not found in the multivariate model.

By BMI, overweight and obese participants consumed significantly lower dietary sodium. In the multivariate model, obese participants had approximately 40% lower tendency to over-consume sodium in a day compared to participants with normal BMI (adjusted OR = 0.60, p value = 0.005). In the multivariate model, having away from home meals, regardless of frequency per day, was not associated with high dietary sodium intake.

Discussion

According to WHO guidelines on dietary salt intake, adults should consume less than 2000 mg of sodium or 5 g of salt per day [17]. Our present study found that 52.1% of Malaysian adults exceeded this dietary sodium intake recommendation. This problem is alarming as high dietary sodium intake is associated with various non-communicable diseases such as cardiovascular diseases and cancer. Similarly, the National Nutrition Survey from Singapore revealed that more than 60% of adults consumed salt higher than the recommended amount [18]. In contrast, the survey among American adults showed that 89% exceeded the recommendation for sodium intake [19]. Furthermore, excess sodium intake was also reported among the population in Mexico (44%), France (89.1%), and the UK 83.4% [20].

The current study found that adults aged less than 30 years old were three times more likely to consume sodium compared to adults aged 50 and older. This finding was comparable with a study from Malawi, where younger people aged less than 30 years old consumed higher levels of sodium and ate out more often compared to the older population [21]. A study among adults in Minnesota reported that 95% of young adults reported a preference for foods high in sodium, such as burgers and fries, from fast-food restaurants [14].

Those of Indian ethnicity in this study consumed significantly lower sodium compared to Malays. A systematic review of eight observational studies in Malaysia showed that Malay adolescents had a lower diet quality. There is a high chance that this bad dietary practice among adolescents could have been brought into adulthood [22]. Findings from a study conducted among adolescents in Kuantan also reported that more than half of the Malays adolescent skipped meals compared to Chinese participants who never skipped any meals [23]. Malay adolescents had been shown to have a significantly higher preference for Western and local food, while Chinese adolescents showed a higher priority for healthier food [24].

The current study also found that men, in general, tend to have a higher intake of sodium than women, which is most probably because women are more health-conscious and pay more attention to how their everyday life affect their health than men [25]. A study was done among university adults also found that more men (84%) than women (58%) reported typically eating fast food for lunch at least once weekly [26].

Those with higher education and higher household income were found to have high dietary sodium consumption per day. A systematic review supported this finding reporting that only 3% of available literature found that people with higher SES are associated with higher sodium intake [27]. This association has been postulated to be due to lack of time for cooking, leading to increased consumption of outside food, which is high in salt. Young adults or children from higher socioeconomic strata also have more disposable pocket money [28], which leads to frequent eating out. A study in Malaysia also reported that apart from increased opportunities to eat out, the cost of eating out in Malaysia is sometimes lower than the cost of a homemade meal, thus indirectly promoting the likelihood of eating out [29].

The current study also found that overweight and obese participants were significantly less likely to have high dietary sodium intake compared to those with normal BMI. This finding is not parallel with the current literature [30], and the reason underlying these is unclear. Perhaps, it could be due to the influence of other confounders that are not studied in this research. We do not exclude the possibility of underreporting of dietary intake, as this phenomenon has been shown to occur among obese study participants [31]. It also may be due to the bias of dietary sodium intake assessment using FFQ but not 24-h dietary recall or 24-h urinary sodium excretion.

At present, away from home meals are popular in Malaysia and other countries. The present study found that 64.4% of the participants had at least one away from home meal per day, and these findings are similar to the Malaysian Food Barometer Survey [32]. Internationally, due to socioeconomic reasons, there are wide variations in this figure, with a study from Singapore reporting that 77.3% of their citizens eating outside [33]. In comparison, a study in Brazil reported only 24% of people to have at least one away from home meal [34]. In this study, we found no association between away from home meals and dietary sodium intake, which was an exciting finding in our study. It shows that Malaysian use excessive salt during food preparation, even for meals cooked at home. The food choices at home among Malaysians also tend to include food items that are high in salt content. So our findings are essential to both healthcare professionals and policymakers to strategize our programs in accordance with this finding. Dietary advice and health promotion on salt reduction should be tailored not only for patients but should also include food operators and specifically among those who prepare the food at home.

We keep in mind the limitations of this study that the findings are based on FFQ and that certain food items with lower sodium content may be consumed in higher amounts or frequency, but was not included in our FFQ, leading to the inaccuracies of our study findings. We utilized the Nutritionist Pro software available in the Institute for Public Health to determine the sodium content for this analysis. To our knowledge, this is the complete database available in Malaysia for nutritional analysis. The findings are also dependent on recall, as is an inherent limitation of any study of such design. However, to our best knowledge, this study does represent the first nationwide study to assess away from home meals with sodium intake among Malaysian adults.

Conclusions

More than 50% of Malaysian adults were found to exceed the recommended dietary sodium intake and consumed at least one away from home meal. However, having away from home meal is not significantly associated with high dietary sodium intake. These interesting study findings support the need to explore further the impact of meals and snacks, as well as cooking methods, with dietary sodium. Sodium reduction strategy should focus on all individuals, including those who eat out frequently and individuals who prepare food at home. Moreover, education on dietary sodium reduction should be emphasized among different ethnicities and people of a younger age to prevent the early onset of high blood pressure and other related chronic diseases.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable requests.

Abbreviations

MyCoSS:

Malaysian Community Salt Survey

BMI:

Body mass index

BP:

Blood pressure

CVD:

Cardiovascular disease

FFQ:

Food Frequency Questionnaire

IPH:

Institute for Public Health

LQ:

Living quarters

RM:

Ringgit Malaysia

WHO:

World Health Organization

SES:

Socioeconomic Status.

References

  1. Department of Statistics. Malaysia. Report on Household Expenditure Survey 2016. Kuala Lumpur, Malaysia: [cited Apr 10 2020]. Available from: https://newss.statistics.gov.my/newss-portalx/ep/epProductFreeDownloadSearch.seam

  2. Lachat C, Nago E, Verstraeten R, Roberfroid D, Van Camp J, Kolsteren P. Eating out of home and its association with dietary intake: a systematic review of the evidence. Obesity Reviews. 2012;13(4):329–46. https://doi.org/10.1111/j.1467-789X.2011.00953.x.

    Article  CAS  PubMed  Google Scholar 

  3. Leech RM, Timperio A, Worsley A, McNaughton SA. Eating patterns of Australian adults: associations with blood pressure and hypertension prevalence. European journal of nutrition. 2019;58(5):1899–909. https://doi.org/10.1007/s00394-018-1741-y.

    Article  PubMed  Google Scholar 

  4. Bes-Rastrollo M, Basterra-Gortari FJ, Sanchez-Villegas A, Marti A, Martínez JA, Martínez-González MA. A prospective study of eating away-from-home meals and weight gain in a Mediterranean population: the SUN (Seguimiento Universidad de Navarra) cohort. Public health nutrition. 2010;13(9):1356–63. https://doi.org/10.1017/S1368980009992783.

    Article  PubMed  Google Scholar 

  5. O'Donnell M, Mente A, Yusuf S. Sodium intake and cardiovascular health. Circ Res. 2015;116(6):1046–57. https://doi.org/10.1161/CIRCRESAHA.116.303771.

    Article  CAS  PubMed  Google Scholar 

  6. Nerbass FB, Pecoits-Filho R, McIntyre NJ, McIntyre CW, Taal MW. High sodium intake is associated with important risk factors in a large cohort of chronic kidney disease patients. Eur J Clin Nutr. 2015;69(7):786–90. https://doi.org/10.1038/ejcn.2014.215.

    Article  CAS  PubMed  Google Scholar 

  7. Institute for Public Health. National Health and Morbidity Survey, 2019, Non-communicable diseases: risk factors and other health problems. National Health Institute. Volume 1.

    Google Scholar 

  8. Institute for Public Health. Malaysian Adults Nutrition Survey (MANS). Volume II. Kuala Lumpur: Ministry of Health Malaysia; 2014.

    Google Scholar 

  9. Institute for Public Health. Determination of dietary sodium intake among the Ministry of Health staff 2015. Kuala Lumpur: Ministry of Health Malaysia; 2016.

    Google Scholar 

  10. Ministry of Health Malaysia. Recommended nutrient intakes for Malaysia: a report of the technical working group on nutritional guidelines. Kuala Lumpur: Ministry of Health Malaysia; 2017.

    Google Scholar 

  11. Amarra MS, Khor GL. Sodium consumption in Southeast Asia: an updated review of intake levels and dietary sources in six countries. In: Preventive Nutrition. Cham: Springer; 2015. p. 765–92.

    Chapter  Google Scholar 

  12. Dickinson KM, Chan L, Moores CJ, Miller J, Thomas J, Yaxley A, Jackson K, Mehta K, Matwiejczyk L, Wray A, Miller M. Eating occasions and the contribution of foods to sodium and potassium intakes in adults. Public Health Nutr. 2018;21(2):317–24. https://doi.org/10.1017/S1368980017002968.

    Article  PubMed  Google Scholar 

  13. Zang J, Luo B, Wang Y, Zhu Z, Wang Z, He X, Wang W, Guo Y, Chen X, Wang C, Guo C. Eating out-of-home in adult residents in Shanghai and the nutritional differences among dining places. Nutrients. 2018 Jul;10(7):951. https://doi.org/10.3390/nu10070951.

    Article  PubMed Central  Google Scholar 

  14. Larson N, Neumark-Sztainer D, Laska MN, Story M. Young adults and eating away from home: associations with dietary intake patterns and weight status differ by choice of restaurant. J Am Dietetic Assoc. 2011;111(11):1696–703. https://doi.org/10.1016/j.jada.2011.08.007.

    Article  Google Scholar 

  15. World Health Organization (WHO). Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity. Geneva; 1998.

    Google Scholar 

  16. Maryam KJ, Nani N, Rahman AR. Correlation between spot urine sodium, 24-hour urinary sodium and food frequency questionnaire in estimation of salt intake in healthy individuals. J Hypertension. 2012;30(Supplement 1):e305. https://doi.org/10.1097/01.hjh.0000420507.92068.00.

    Article  Google Scholar 

  17. WHO Guideline: Sodium intake for adults and children. Geneva, World Health Organization (WHO), 2012.

    Google Scholar 

  18. Report of the National Nutrition Survey 2010 Health Promotion Board, Singapore.

    Google Scholar 

  19. Jackson SL, King SM, Zhao L, Cogswell ME. Prevalence of excess sodium intake in the United States — NHANES, 2009–2012. MMWR Morb Mortal Wkly Rep. 2016;64(52):1393–7. https://doi.org/10.15585/mmwr.mm6452a1.

    Article  PubMed  Google Scholar 

  20. Drewnowski A, Rehm CD, Maillot M, Mendoza A, Monsivais P. The feasibility of meeting the WHO guidelines for sodium and potassium: a cross-national comparison study. BMJ Open. 2015;5(3):e006625. https://doi.org/10.1136/bmjopen-2014-006625.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Prynn JE, Banda L, Amberbir A, Price AJ, Kayuni N, Jaffar S, Crampin AC, Smeeth L, Nyirenda M. Dietary sodium intake in urban and rural Malawi, and directions for future interventions. Am J Clin Nutr. 2018;108(3):587–93. https://doi.org/10.1093/ajcn/nqy125.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Mohammadi S, Jalaludin MY, Su TT, Dahlui M, Mohamed A, Nahar M, Abdul MH. Determinants of diet and physical activity in Malaysian adolescents: a systematic review. International journal of environmental research and public health. 2019;16(4):603. https://doi.org/10.3390/ijerph16040603.

    Article  PubMed Central  Google Scholar 

  23. Chin Y, Mohd Nasir M. Eating behaviours among female adolescents in Kuantan District, Pahang. Malaysia.Pak. J. Nutr. 2009;8(4):425–32. https://doi.org/10.3923/pjn.2009.425.432.

    Article  Google Scholar 

  24. Nurul-Fadhilah A, Teo P, Foo L. Ethnic differences in the food intake patterns and the associated factors of adolescents in Kelantan, Malaysia. Nutrients. 2016;8(9):551.

    Article  Google Scholar 

  25. Ek S. Gender differences in health information behaviour: A Finnish population-based survey. Health Promotion Int. 2013;30(3):736–45.

    Article  Google Scholar 

  26. De Mestral C, Mayén AL, Petrovic D, Marques-Vidal P, Bochud M, Stringhini S. Socioeconomic determinants of sodium intake in adult populations of high-income countries: a systematic review and meta-analysis. Am J Public Health. 2017;107(4):e1–2. https://doi.org/10.2105/AJPH.2016.303629.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Driskell JA, Meckna BR, Scales NE. Differences exist in the eating habits of university men and women at fast-food restaurants. Nutrition research. 2006;26(10):524–30. https://doi.org/10.1016/j.nutres.2006.09.003.

    Article  CAS  Google Scholar 

  28. Kirkpatrick S, Tarasuk V. The relationship between low income and household food expenditure patterns in Canada. Public Health Nutr. 2003;6(6):589–97. https://doi.org/10.1079/PHN2003517.

    Article  PubMed  Google Scholar 

  29. Noraziah A, Mohd Azlan A. The food consumption and eating behaviour of Malaysian urbanites: issues and concerns. Geografia-Malaysian J Soc Space. 2012;18:8(6).

    Google Scholar 

  30. Yi SS, Firestone MJ, Beasley JM. Independent associations of sodium intake with measures of body size and predictive body fatness. Obesity. 2015;23(1):20–3. https://doi.org/10.1002/oby.20912.

    Article  CAS  PubMed  Google Scholar 

  31. Park HA, Lee JS, Kuller LH. Underreporting of dietary intake by body mass index in premenopausal women participating in the Healthy Women Study. Nutr Res Pract. 2007;1(3):231–6. https://doi.org/10.4162/nrp.2007.1.3.231.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Fournier T, Tibère L, Laporte C, Mognard E, Ismail MN, Sharif SP, Poulain JP. Eating patterns and prevalence of obesity. Lessons learned from the Malaysian Food Barometer. Appetite. 2016;107:362–71. https://doi.org/10.1016/j.appet.2016.08.009.

    Article  CAS  PubMed  Google Scholar 

  33. Naidoo N, van Dam RM, Ng S, Tan CS, Chen S, Lim JY, Chan MF, Chew L, Rebello SA. Determinants of eating at local and western fast-food venues in an urban Asian population: a mixed-methods approach. Int J Behav Nutr Phys Act. 2017;14(1):69. https://doi.org/10.1186/s12966-017-0515-x.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Gorgulho BM, Fisberg RM, Marchioni DM. Away-from-home meals: prevalence and characteristics in a metropolis. Revista de Nutrição. 2014;27(6):703–13. https://doi.org/10.1590/1415-52732014000600005.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the Director-General of Health Malaysia for permission to publish this paper. Appreciation goes to the Department of Statistics, Malaysia, in the sampling process. Acknowledgement also goes to the Ministry of Health Malaysia (Nutrition Division, Non-Communicable Disease Section, State Health Departments, Liaison Officers and Scouts) in the preparation and during the data collection. Our sincere appreciation also goes to all participants and data collectors.

About this supplement

This article has been published as part of Journal of Health, Population and Nutrition Volume 40 Supplement 1, 2021: Malaysian Community Salt Survey 2017-2018 (MyCoSS). The full contents of the supplement are available online at https://jhpn.biomedcentral.com/articles/supplements/volume-40-supplement-1.

Funding

Publication costs are funded by The Newton-Ungku Omar Fund: UK–Malaysia Bilateral Health Research Collaboration for Non-Communicable Diseases with the grant number of MR/P012590/1 (joint funding from the Academy of Sciences Malaysia, Malaysian Industry-Government Group for High Technology, and the Medical Research Council, UK). The funders had no role in the study design, data collection, data analysis, data interpretation, or writing of the article.

Author information

Authors and Affiliations

Authors

Contributions

RS, SSG, and RA were responsible for the study conception and drafting the manuscript. SSG and NIW aided in the data analyses. MHA, RS, FO, NSAA, AB, RS, LP, CSM, MRMR, and TA contributed to drafting and revising the manuscript. The authors have read and approved the final manuscript.

Corresponding author

Correspondence to Ruhaya Salleh.

Ethics declarations

Ethics approval and consent to participate

Ethical approvals for the study were obtained from the Medical Research Ethics Committee (MREC), Ministry of Health Malaysia (NMRR-17-423-34969), and Queen Mary (University of London) Research Ethics Committee (QMERC2017/14) before conducting the study. Informed consent was obtained from all participants before conducting this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Salleh, R., Ganapathy, S.S., Ibrahim Wong, N. et al. Is socio-demographic status, body mass index, and consumption of food away from home associated with high sodium intake among adults in Malaysia?: findings from the Malaysian Community Salt Survey (MyCoSS). J Health Popul Nutr 40 (Suppl 1), 12 (2021). https://doi.org/10.1186/s41043-021-00236-z

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/s41043-021-00236-z

Keywords