ArticleBMC research notes2017
Comparison of cardiovascular risk factors and dietary intakes among Javanese Surinamese and South-Asian Surinamese in the Netherlands. The HELIUS study.
Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 8 citations in OpenAlex.
- Social norms and obesity prevalence: From cohort to system dynamics models.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020Review
- Fruit and Vegetable Consumption among Immigrants in Portugal: A Nationwide Cross-Sectional Study.International journal of environmental research and public health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEthnic differences regarding the percent of non-communicable diseases have been shown in Asia but the studies on Asian subgroups living in the western countries regarding percent of cardiovascular risk factors and dietary intakes have been scarce. Therefore we compared the percent of cardiovascular risk factors and dietary intakes between Javanese Surinamese who are originally from Indonesia and South-Asian Surinamese who are originally from India.
methodsCross-sectional baseline data of the HELIUS (Healthy Life in an Urban Setting) study were used, including data of 2935 Surinamese participants (197 of Javanese and 2738 of South-Asian origin) out of which 1160 participants (78 Javanese and 1082 South-Asian) additionally reported dietary intake data. Descriptive statistics were used to compare the two ethnic groups regarding cardiovascular disease, diabetes, obesity, hypertension and hypercholesterolemia; in addition, dietary intake of foods like vegetables, red meat, fruit, high fibre foods, low fibre foods, high fat and low fat dairy products, chicken and sugar sweetened beverages were also compared between the two groups. Binary logistic regression analyses were used to adjust for age and sex when comparing the two groups.
resultsSouth-Asian Surinamese had a significantly higher percent of abdominal obesity (OR 2.44; CI 1.66-3.57), cardiovascular disease (OR 2.55; CI 1.48-4.35) and diabetes (OR 2.77; CI 1.67-4.60) as compared with Javanese Surinamese after adjustment for age and sex. The percent of obesity (BMI), hypertension, and lipids was not significantly different between the ethnic groups. Javanese Surinamese had a significantly higher intake of red meat and a significantly lower intake of dairy products as compared with South-Asian Surinamese. Intakes of vegetables, grains, fish, fruits, tea and coffee did not significantly differ between the ethnic groups. Both groups showed intake of considerable amount of sugar sweetened beverages.
conclusionsPublic health practitioners in the Netherlands and elsewhere in the world should take into account the ethnic subgroup differences within the broader groups like Asians when developing interventions related to health among ethnic minorities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.