Health behaviours and well-being among older adults with a Surinamese migration background in the Netherlands
BMC Public Health volume 22, Article number: 2006 (2022)
This study aims to identify the relationships between health behaviours (healthy diet, physical activity, not smoking and social activity) and well-being among older adults with a Surinamese background.
Community-dwelling older adults (≥ 70 years) with a Surinamese background living in Rotterdam, the Netherlands, were identified by the municipal register. A survey study was conducted to assess background information, health behaviours (healthy diet, physical activity, not smoking and social activity) and well-being. Multiple regression analyses were performed to assess the relationships of health behaviours with well-being while controlling for background characteristics.
Average age of participants was 76.2 (4.9) years, slightly more than half of them were female (54.2%). Almost half of the participants had a low-income level (49.6%). More than half of the participants met the Dutch guidelines of fruit intake (63.0%) and vegetable intake (62.8%). Less than half of the participants met the guidelines of fish intake (40.9%) and physical activity (39.8%). The majority of the participants were non-smokers (87.9%). Most of the participants had daily contact with family/friends (90.9%) and slightly more than half of the participants visited family/friends often (53.6%). Looking at the health behaviours, a positive relationship was found between eating enough fruit (β = .109; p ≤ 0.05) and vegetables (β = .135; p ≤ 0.01), physical activity (β = .164; p ≤ 0.001) and often visiting family/friends (β = .158; p ≤ 0.001) with well-being.
This study suggests that next to traditional health behaviours also social activity is an essential health behaviour for the well-being of older Surinamese adults. Research about health promotion should expand its focus by including social activity as health behaviour.
Surinamese people are one of the largest communities with non-Western migratory backgrounds in the Netherlands. The number of older Surinamese adults (≥ 55 years) in the Netherlands has more than quadrupled between 1990 and 2020 . Surinamese people migrated to the Netherlands from Surinam, a former Dutch colony in South America. Surinam's population is diverse, with Surinamese Chinese, Surinamese Creole, Surinamese Javanese and Surinamese Hindustani, all having different cultures and geographical origins. In the Netherlands, the main subgroups are Surinamese Creole (West African descent) and Surinamese Hindustani (Indian descent).
A recent literature review on health and well-being among older migrants (including Surinamese older adults) in the Netherlands, indicated that research into well-being of older migrants in the Netherlands is scarce; none of the included studies involved the well-being of Surinamese older adults (only Turkish and Moroccan older adults) . However, studies about aspects related to well-being, such as loneliness, were discussed, indicating that Surinamese older adults are more often lonely due to disadvantaged health, socio-economic status and low social participation compared to their native counterparts.
Maintaining a healthy lifestyle such as regular engagement in physical activity (PA), eating healthy and retaining from smoking is well known to be beneficial to peoples’ well-being [3,4,5]. Furthermore, findings from earlier studies show that people who engage in fewer health risk behaviours are more likely to be satisfied with their lives . Besides traditional health behaviours such as PA, a healthy diet and not smoking, also older adults’ ability to stay socially active and connected to others seems to be critical to sustaining their well-being .
In general, in all ages health behaviours are known to differ between immigrants and natives [8,9,10], which may be influenced by certain social and cultural beliefs and/or values [11, 12]. According to previous research, beliefs about food vary widely from country to country, which can be influenced by social customs, religion and shared cultural values [13, 14]. Many people with a migration background continue to eat foods from their country of origin, in addition to foods from the host country . Also, among the Surinamese population in the Netherlands, research shows that traditional Surinamese dishes and vegetables play an important role in the dietary behaviour of Surinamese people, especially among the first generation [16,17,18]. The cooking and eating practices of Surinamese people are deeply rooted in cultural beliefs and values (e.g. bitter vegetables are good for health) . In addition, Surinamese older adults have indicated that the available options in the Netherlands regarding physical activities are insufficiently adapted to their cultural habits, such as inexperience with recommended ‘Dutch’ activities such as cycling and unavailability of programs which they prefer (e.g. dancing to Surinamese music), which discourages them to engage in a physically active lifestyle . Furthermore, in Surinamese culture being curvy is often regarded as a sign of beauty, prosperity and strength in their community; this norm is likely to discourage them from being physically active . Religion and culture play an essential role in shaping smoking behaviours, among Surinamese people social norms discourage women to smoke which does not apply for men [21, 22]. Older adults with a Surinamese background are mainly socially active within their own social network (family and friends). Social activities outside the household (e.g. theatre, going to a restaurant) and social clubs (e.g. sport, music) are less popular within this population .
In the Netherlands, people with a Surinamese background are more likely to have (multiple) chronic diseases (e.g., type II diabetes mellitus) [24, 25]. Research indicates that chronic diseases are associated with impaired well-being . Engaging a healthy lifestyle plays an essential role in the prevention of many chronic diseases, such as type II diabetes mellitus and might eventually have a positive impact on sustaining well-being .
While previous research has indicated that a healthy lifestyle is associated with well-being among the general older population, there is still a lack of studies investigating the relationship between a healthy lifestyle and well-being among the Surinamese population in the Netherlands. The present study aims to examine the relationship between health behaviours (healthy diet, physical activity, not smoking, and social activity) and well-being among older adults with a Surinamese migration background in Rotterdam, the Netherlands.
Surinam is a former Dutch colony in South America that gained independence in 1975. People from Surinam have migrated to the Netherlands mainly because of the unstable political situation in Surinam and to seek higher education and work . As Dutch is an official language of Surinam and is used in education, government, and the media, most Surinamese people speak it well. The health of older Surinamese adults in the Netherlands is worse than that of the native Dutch older population. Older Surinamese adults are more likely to develop (multiple) chronic diseases (e.g., type II diabetes mellitus) and to experience mental health problems than are their native counterparts [24, 25, 29,30,31]. Additionally, older Surinamese adults have a greater risk of mortality from these chronic diseases than do their native counterparts with the same socioeconomic backgrounds or education levels [24, 29, 30, 32].
Recruitment and data collection
Community-dwelling older adults (≥ 70 years) with a Surinamese background living in Rotterdam, the Netherlands, were identified by the municipal register. Participants were asked to participate in the study between March 2020 and June 2020. A written questionnaire was sent to participants by post with a self-addressed envelope, followed by a postal reminder. The aim of the study and its anonymous and voluntary nature was explained to participants by an information leaflet. The first authors’ contact details were provided to participants in case they had additional questions. In total 2749 participants were approached. Thirty-four participants were excluded, as they resided in nursing homes, due to serious medical issues (e.g., dementia, revalidation), change of address or death. Of the remaining 2715 participants, 679 returned filled-in questionnaires (25% response rate), nested in 56 neighbourhoods.
The short version of the validated social production function instrument for the level of well-being (SPF-ILs) was used to assess well-being . The overall well-being was assessed by measuring levels of social well-being (affection, behavioural confirmation, and status), physical well-being (comfort and stimulation), and overall well-being [33,34,35,36]. Examples of questions assessing social well-being are: ‘Do people really love you?’ (affection), ‘Do others appreciate your role in the group?’ (behavioural confirmation) and ‘Do people think you do better than others (status)’. ‘In the past few months, have you felt relaxed?’ (comfort) and ‘Are your activities challenging to you?’ (stimulation) are questions which assessed physical well-being. On a four-point scale, responses ranged from never (1) to always (4). The mean of the five subscales was used to calculate overall well-being. In this study, Cronbach’s alpha value for overall well-being was 0.85, indicating high internal consistency.
Diet was assessed by evaluating participants’ fish, fruit, and vegetable consumption as an indicator of healthy eating. Guidelines of the Dutch Health Council regarding healthy eating were followed to distinguish between healthy and unhealthy diets . Questions solicited about food quantity and frequency; we gave Surinamese examples in the questionnaire. We used the threshold value of two times a week fish consumption to distinguish healthy from unhealthy diets. Fish consumption was dichotomized into 0 (less than 2 times a week fish consumption) and 1 (≥ 2 times a week fish consumption). Participants were asked about their fruit consumption, a threshold value of two pieces of fruit every day of which half (one piece) can be replaced by one glass of fruit juice was considered to be healthy. Fruit consumption was dichotomized into 0 (fewer than two pieces of fruit every day) and 1 (≥ two pieces of fruit every day). Vegetable intake was assessed by asking participants whether they consumed 200 g of vegetables per day. Vegetable consumption was dichotomized into 0 (fewer than 200 g of vegetables per day) and 1 (≥ 200 g of vegetables per day).
Participants were asked to report how many days per week they were physically active (i.e., sports activities, exercise, house cleaning, work in the garden) for at least 30 min each day. This question comes from the validated and reliable short questionnaire to assess health-enhancing physical activity (SQUASH) [38, 39]. In the Netherlands, government agencies use this instrument to monitor the PA of the population . Scores ranged from 0 (not being physically active at all for at least 30 min a week) to 7 (being physically active for at least 30 min every day of the week). The Dutch Standard for Healthy Physical Activity (≥ 5 days per week at least 30 min physically active) was used to dichotomize the PA scale into 0 (not meeting the standard) and 1 (meeting the standard of PA and being active for at least 30 min a day for at least five times per week) .
Smoking was assessed by asking participants whether they currently smoked (0 = yes/ 1 = no).
Social activity was assessed by asking participants how often they visited family and friends (never, once a year, several times a year, 1 – 3 times a month, once a week, several times a week). This variable was dichotomized into 0 (≤ 1 – 3 times a month visiting family or friends) and 1 (≥ 1 – 3 times a month visiting family or friends). Additionally, participants were asked how many people visited or called them per day (none, 1 – 2, 3 – 4, 5 – 6, 7 – 10 or > 10). This variable was dichotomized into 0 (no daily contact with family or friends) and 1 (daily contact with family or friends).
Multimorbidity was defined as having two or more chronic diseases . The presence of chronic diseases was determined using a questionnaire that asked, "Have you had any of the following diseases or conditions in the preceding 12 months?" (0 = no, 1 = yes). A list of 10 chronic conditions (i.e. cardiovascular diseases, diabetes, lung diseases) developed by O’Halloran et al.  was provided. An option to report unlisted conditions was provided to participants, which resulted in a list of 51 additional conditions (e.g., limited vision and kidney failure). Most participants had osteoarthritis (n = 288) or diabetes (n = 249). These conditions were taken into account when we counted chronic diseases. Simple count was used in the analyses.
The questionnaire additionally asked participants for information on their age, gender (male or female), marital status (living alone/widowed/divorced or married/living with a partner), education and income.
Participants were asked to report their highest educational level completed in the Netherlands or abroad, with the option to write another response for unlisted forms of schooling. This variable was dichotomized into low education (completion of elementary school or less) and high education (more than elementary school).
Participants’ monthly household income, including social benefits, pensions and alimony was asked to determine their income level. Response options ranged from 1 (less than €1000 a month net) to 4 (€3050 or more a month net). An option was given with ‘Do not know/ do not want to tell’ as the fifth category. This variable was dichotomized into low income (less than €1350 a month net) and high income (€1350 or more a month net).
In this study, SPSS software version 27 (IBM Corporation, Armonk, NY, USA) was used to analyse the data. Descriptive statistics were calculated to characterize participants’ health behaviours. Bivariate associations of variables expressing background characteristics, health behaviours (diet, PA, smoking and social activity) and well-being were examined. The assessment of multicollinearity yielded tolerance values > 0.3 and variance inflation factors < 3, indicating no sign of multicollinearity. The data met the assumptions of independent errors (Durbin-Watson value = 1.904) and normality of distribution. A histogram and a normal P-P plot of the standardized residuals indicated that the data contained approximately normally distributed errors. Multiple regression analyses were performed to assess the relationships of health behaviours with well-being while controlling for background characteristics. We tested whether neighbourhood level (level 2) significantly affected well-being by comparing -2 log likelihoods of the regression models containing well-being only and containing well-being and the neighbourhood level. The results showed that the neighbourhood level did not significantly affect well-being (889.613 vs. 886.624; p = 0.08). Listwise deletion of missing cases was used in the multivariate analyses (n = 413). Results were considered statistically significant when two-sided p values were ≤ 0.05.
Table 1 displays descriptive statistics for the older Surinamese adults. The average age of the 697 participants was 76.2 ± 4.9 (range 70 – 100) years and 54.2% of them were female. The majority of the participants reported being unpartnered (67.4%). Almost 40% of the participants reported low education and almost half of the participants reported having a low income. The mean number of multimorbidity was 1.6 ± 1.4 (range 0–8). Regarding a healthy diet, 40.9% of the participants met the standard of fish consumption. More than half of the participants met the standard of fruit (63.0%) and vegetable (62.8%) consumption. Nearly 40% of the participant met the standard of PA. The majority of the participants reported being non-smokers (87.9%). The majority of participants indicated having daily contact with family/friends (90.9%). Slightly more than half of the participants reported that they did visit their family/friends often (53.6%). Mean scores for overall well-being were 2.86 ± 1.39 (range 1 – 4).
Table 2 shows the correlation between health behaviours (diet, PA, smoking and social activity) and well-being. Significant positive correlations were found between fruit consumption (r = 0.149; p ≤ 0.001), vegetable consumption (r = 0.247; p ≤ 0.001) and meeting the PA standard (r = 0.220; p ≤ 0.001) with well-being. Regarding social activity, a significant positive association was found between daily contact with family/friends (r = 0.097; p ≤ 0.05) and often visiting family/friends (r = 0.228; p ≤ 0.001) with well-being. No significant associations were found between fish consumption, smoking and well-being.
Table 3 demonstrates the association of health behaviours and well-being assessed by multiple regression analyses. After controlling for age, sex, marital status, education, income and multimorbidity, fruit consumption (β = 0.109; p ≤ 0.05) and vegetable consumption (β = 0.135; p ≤ 0.01) were associated well-being among older Surinamese adults. In addition, meeting the PA standard was associated with well-being (β = 0.164; p ≤ 0.001). Finally, often visiting family/friends was associated with well-being (β = 0.158; p ≤ 0.001) among older Surinamese adults.
This study aimed to investigate the relationship between health behaviours (diet, PA, smoking, and social activity) and well-being among older Surinamese adults in Rotterdam. the Netherlands. After controlling for background characteristics and multimorbidity, fruit and vegetable consumption, meeting the PA standard and social activity, specifically visiting family/friends, were associated with better well-being. Although similar findings have been obtained among other population groups [3,4,5, 7], this study is the first to show associations between multiple health behaviours and well-being among older Surinamese adults.
This study shows that fruit and vegetable consumption among older Surinamese adults is associated with better well-being. Several mechanisms may underlie the relationship between fruit and vegetable intake and well-being. For example, fruits and vegetables are rich in micronutrients such as vitamin C, which act as cofactors for neurotransmitters involved in positive motivational states .
A few studies have investigated diet among the Surinamese population in the Netherlands, however these studies have examined the relationship of diet with health related outcomes such as diabetes type II rather than well-being related outcomes . Dietary interventions seem to have the potential to improve the diet quality of older adults . In the Netherlands, dietary interventions for older adults are mainly focused at malnutrition and its health consequences such as decrease in muscle mass and decrease of the immune system . Well-being measures are often omitted, despite that well-being improvements are promising to decrease health care utilization and expenditures . In addition, these diet interventions are focused on the general older population, despite research suggests that culturally adapted interventions (e.g. use of traditional vegetables and species) might be more effective to promote a healthy diet . Future dietary intervention should also focus on outcome measures related to well-being and involve the culture of the targeted population. This will help to develop effective dietary interventions, which will be beneficial for the health and well-being of older Surinamese adults (and the general (older) population) and potentially reducing health care expenditures.
A positive relationship of meeting PA guidelines with better well-being was seen in our study. PA releases endorphins in the body, which increase mood and energy, promoting well-being . In the Netherlands, PA interventions are mainly focused to prevent and maintain diseases and limitations ; well-being outcome measures are also omitted during evaluation of PA interventions. Less than half of participants in our study met the PA guidelines of ≥ 5 days per week at least 30 min physically active. A recent study among older Surinamese adults showed that neighbourhood characteristics have an important role in supporting older Surinamese adults in engaging an active lifestyle . Thus, policy makers should promote neighbourhood interventions that promote/support PA among the older Surinamese population, which might also be beneficial for the general population.
In our study, visiting family/friends was associated with significantly better well-being. Having daily contact with family/friends was not significantly associated with well-being in the multiple regression analyses. This indicates that digital social interactions do not replace face-to-face interactions. Therefore, it can be assumed that face-to-face social contact are more valuable compared to digital social interactions for the well-being of older Surinamese adults. In times of the COVID-19 pandemic, digital solutions were often used to maintain social contact with older adults due to social distancing. While digital solutions might be beneficial to maintain social distancing, this study shows that it is at the expense of the well-being of older Surinamese adults. Relevant example is, the relaxation of the COVID-19 measures by the Dutch government at the insistence of the ANBO (Algemene Nederlandse Bond voor Ouderen; General Dutch Association for Older Adults), since older adults became socially isolated . Community-dwelling older adults were allowed to see one or two permanent persons physically, as long as, the COVID measures were maintained. Policy makers and future well-being interventions should consider the importance of face-to-face contact upon policy and intervention development. Visiting family and friends may be a way for older adults to receive social support, which may promote well-being through enhanced self-esteem . This increased self-esteem, in turn, may promote optimism, positive affect, and better well-being . Additionally, family members and friends may affect health-related behaviour ; social interaction and integration encourage the exchange of health information and persuasion and support, which may influence people, for example, to modify dietary and physical activity patterns .
Although Schiepers et al. , have indicated a positive relationship between greater fish consumption and well-being among a generally healthy population in the Netherlands, our study does not show this relationship. A possible explanation for this might be that our study was conducted among the older population. Indeed, an earlier study conducted among older men also showed no positive association between fish consumption and well-being .
In the present study, we found no relationship between not smoking and well-being. which is contrary to the findings of Lang et al.  who found a positive relationship. Daily exposure to stressors plays an essential role in smoking initiation and continuation . People often attempt to ameliorate stress by smoking which gives them a temporary relief . It might be that participants used smoking as a coping strategy for stress. Another possible explanation for this might be the low number of participants who smoked.
The Dutch government supports municipal health promotion, which focuses on changing people’s behaviour to promote health and/or prevent disease (https://www.loketgezondleven.nl/gezondheidsthema/stimuleren-gezond-gedrag). For older adults, the focus is on “healthy and vital aging.” Municipalities are given tools to help them stimulate healthy behaviour and influence circumstances to improve residents’ health, such as materials for interventions recognized to be effective and active intervention elements. The government recognizes the importance of adapting parts of existing interventions to neighborhood situations and target populations.
Strength and limitations
Our study had several strengths. First, previous research has mainly focused on traditional health behaviours (diet, PA and smoking) and the well-being of older adults. In our study, we also included social activity as a health behaviour. which seems to be essential for the well-being for older Surinamese adults. Second, in the current study specific food items such as Surinamese vegetables (e.g. bitawiri, bravoe) were given as examples, to take the diet habits of Surinamese people into account. Third, despite the diversity in the Surinamese population in the Netherlands, we included all ethnic groups in our study. Given the heterogeneity of the Surinamese population in the Netherlands, additional analyses were performed to examine whether ethnicity (Surinamese Chinese, Surinamese Creole, Surinamese Javanese, and Surinamese Hindustani) significantly affected well-being. No significant differences in well-being were found among the ethnic groups (Additional file 1). Fourth, we collected data during the onset of the COVID-19 pandemic, which gives us valuable information about health behaviours of a vulnerable group in the Netherlands. In order to examine whether well-being levels differed between participants who filled in the questionnaire before and after COVID-19 measures, a separate analysis was performed. Reported well-being levels did not decrease after the implementation of the COVID-19 measurements (Additional file 2).
Our findings should be viewed in light of the study’s limitations. First, the study is a cross-sectional survey, which does not permit to make causal inferences. Health behaviours and well-being might be reciprocally related. For example, research indicates that older adults with a higher well-being level tend to have a healthier diet, compared to older adults with a lower well-being level . Future studies should explore the effects of changes in well-being on health behaviours. Second, health risk behaviours such as not meeting the PA goal and irregular eating patterns tend to cluster together in ethnic minority groups but not in native Dutch people . However, in our study we did not examine this. Future research could investigate these clusters, including social activity. among the Surinamese older population to develop prevention strategies. Third, our response rate was relatively low, which might indicate response bias. We conducted non-response analyses, which revealed significant differences in age and gender between responders and non-responders. There were more females among non-respondents than respondents (60.3% vs. 53.8%), but the effect size was small (phi = –0.058, p = 0.003). Respondents were slighter younger than non-respondents (mean age, 76.23 [SD = 4.93] vs. 76.80 [SD = 5.46] years, respectively; Cohen’s d = 0.106, p < 0.001). This difference might indicate selective non-response, but we expected a low response rate as the involvement of older non-Western migrants, such as older Surinamese adults, in research is known to be challenging [65, 66]. Moreover, some older adults may not have been able to complete the questionnaire because they were too vulnerable (e.g. health), which may have resulted in the overestimation of the well-being level in the total population. However, this possibility did not influence our main conclusions, as we focused on the relationships between health behaviours and well-being. Fourth, the use of self-administered questionnaires alone to measure PA is a limitation of this study. We collected the study data during the COVID-19 pandemic, which made home visits problematic or impossible. Thus, we did not use objective measures of physical activity such as walking or fitness tests. Fifth, we did not include items covering all potentially relevant aspects in the questionnaire. For example, we did not ask participants about their oral health, which is known to affect dietary behaviour and to be essential for good health and well-being [67,68,69,70]. We also did not assess participants’ acculturation, length of residence in the Netherlands, age at migration, cognition, or independence in (instrumental) activities of daily living, which may be associated with well-being or health [71,72,73,74,75,76]. Future research on health behaviours and well-being should involve the consideration of these aspects.
From this study, we can conclude that multiple health behaviours are associated with better well-being among the older Surinamese population. Next to traditional health behaviours (healthy diet and physical activity), social activity (being able to visit others on a regular basis) is associated with the well-being of older adults with a Surinamese background. Since, social participation is still an undervalued health behaviour, intervention designers should involve this. These findings represent a first step toward developing health behavior interventions and policies to improve the well-being of older Surinamese adults. Policy makers designing health promotion strategies should aim to enhance healthy dietary habits and physical and social activity among older Surinamese adults in the Netherlands to promote their well-being.
Availability of data and materials
The dataset analyzed during the current study is available from the corresponding author on reasonable request.
Algemene nederlandse bond voor ouderen (General Dutch Association for Older Adults)
- COVID- 19:
Corona virus disease 2019
Social production function instrument for the level of well-being
Strengthening the reporting of observational studies in epidemiology
Fokkema T, Das M. Familienetwerken van niet-westerse oudere migranten [Family networks of non-Western older migrants]. Jaarrapport Integratie, CBS. 2020. p. 190–214
Conkova N, Lindenberg J. Health and wellbeing of older migrants in the Netherlands: A narrative literature review. Tijdschr Gerontol Geriatr. 2018;49(6):223–31.
Govindaraju T, Sahle BW, McCaffrey TA, McNeil JJ, Owen AJ. Dietary patterns and quality of life in older adults: A systematic review. Nutrients. 2018;10(8):971.
Vagetti GC, Barbosa Filho VC, Moreira NB. Oliveira Vd, Mazzardo O, Campos Wd: Association between physical activity and quality of life in the elderly: a systematic review, 2000–2012. Brazil J Psychiatr. 2014;36:76–88.
Goldenberg M, Danovitch I, IsHak WW. Quality of life and smoking. Am J Addict. 2014;23(6):540–62.
Prendergast KB, Mackay LM, Schofield GM. The clustering of lifestyle behaviours in New Zealand and their relationship with optimal wellbeing. Int J Behav Med. 2016;23(5):571–9.
Feng Z, Cramm JM, Nieboer AP. Social participation is an important health behaviour for health and quality of life among chronically ill older Chinese people. BMC Geriatr. 2020;20(1):1–10.
El Fakiri F, Bouwman-Notenboom J. Gezondheid van oudere migranten in de vier grote steden [Health of older migrants in the four major cities]. Amsterdam: GGD; 2016.
Droomers M, van Lindert H, Westert G. A matter of disparities: risk groups for unhealthy lifestyle and poor health. Morbidity, Performance and Quality in Primary Care. 2018. p. 57–66.
Labree L, Van De Mheen H, Rutten F, Foets M. Differences in overweight and obesity among children from migrant and native origin: a systematic review of the European literature. Obes Rev. 2011;12(5):e535–47.
Renzaho AM, Mellor D, Boulton K, Swinburn B. Effectiveness of prevention programmes for obesity and chronic diseases among immigrants to developed countries–a systematic review. Public Health Nutr. 2010;13(3):438–50.
Hawthorne K, Robles Y, Cannings-John R, Edwards A. Culturally appropriate health education for Type 2 diabetes in ethnic minority groups: a systematic and narrative review of randomized controlled trials. Diabet Med. 2010;27(6):613–23.
Helman C. Diet and nutrition. In: Hodder A, editor. Culture, health and illness. London; 2007. p. 52–80.
Wang WC, Worsley A, Cunningham EG. Social ideological influences on reported food consumption and BMI. Int J Behav Nutr Phys Act. 2008;5(1):1–11.
Nicolaou M, Stronks K, van Dam R. Nutritional intake of Surinamese residents of Amsterdam South East: the role of acculturation. Ethnicity & Health. 2004;S92–S93.
Sturkenboom SM, Dekker LH, Lamkaddem M, Schaap LA, De Vries JH, Stronks K, Nicolaou M. Acculturation and dietary patterns among residents of Surinamese origin in the Netherlands: the HELIUS dietary pattern study. Public Health Nutr. 2016;19(4):682–92.
Dekker LH, Nicolaou M, van Dam RM, de Vries JH, de Boer EJ, Brants HA, Beukers MH, Snijder MB, Stronks K. Socio-economic status and ethnicity are independently associated with dietary patterns: the HELIUS-Dietary Patterns study. Food Nutr Res. 2015;59(1):26317.
Nicolaou M. Diet and Overweight Perception: An explorative study among Turkish, Moroccan and Surinamese migrants living in the Netherlands. PhD Thesis. VU Amsterdam; 2009.
Kohinor MJ, Stronks K, Nicolaou M, Haafkens JA. Considerations affecting dietary behaviour of immigrants with type 2 diabetes: a qualitative study among Surinamese in the Netherlands. Ethn Health. 2011;16(3):245–58.
Beune EJ, Haafkens JA, Agyemang C, Bindels PJ. Inhibitors and enablers of physical activity in multiethnic hypertensive patients: qualitative study. J Hum Hypertens. 2010;24(4):280–90.
Bush J, White M, Kai J, Rankin J, Bhopal R. Understanding influences on smoking in Bangladeshi and Pakistani adults: community based, qualitative study. BMJ. 2003;326(7396):962.
Nierkens V, van der Ploeg MV, van Eer MY, Stronks K. How do psychosocial determinants in migrant women in the Netherlands differ from these among their counterparts in their country of origin? A cross-sectional study BMC Public Health. 2011;11(1):1–8.
Ten Kate RL, Bilecen B, Steverink N. A closer look at loneliness: why do first-generation migrants feel more lonely than their native Dutch counterparts? Gerontologist. 2020;60(2):291–301.
Bindraban NR, van Valkengoed IG, Mairuhu G, Holleman F, Hoekstra JB, Michels BP, Koopmans RP, Stronks K. Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study. BMC Public Health. 2008;8(1):1–10.
Verest WJ, Galenkamp H, Spek B, Snijder MB, Stronks K, van Valkengoed IG. Do ethnic inequalities in multimorbidity reflect ethnic differences in socioeconomic status? The HELIUS study. Eur J Pub Health. 2019;29(4):687–93.
Megari K. Quality of life in chronic disease patients. Health Psychol Res. 2013;1(e27):141–8.
Willett WC, Koplan JP, Nugent R, Dusenbury C, Puska P, Gaziano TA. Prevention of chronic disease by means of diet and lifestyle changes. Disease Control Priorities in Developing Countries. 2nd edition. 2006. p. 833–50.
Van Huis M, Nicolaas H, Croes M. Migration of the four largest cities in the Netherlands. Voorburg: CBS; 2004. p. 1–9.
Stirbu I, Kunst AE, Bos V, Mackenbach JP. Differences in avoidable mortality between migrants and the native Dutch in The Netherlands. BMC Public Health. 2006;6(1):1–10.
Agyemang C, van Oeffelen AA, Norredam M, Kappelle LJ, Klijn CJ, Bots ML, Stronks K, Vaartjes I. Socioeconomic inequalities in stroke incidence among migrant groups: analysis of nationwide data. Stroke. 2014;45(8):2397–403.
Erdem Ö, Riva E, Prins RG, Burdorf A, Van der Doef M. Health-related behaviours mediate the relation between ethnicity and (mental) health in the Netherlands. Ethn Health. 2019;24(3):287–300.
van Laer SD, Snijder MB, Agyemang C, Peters RJ. van den Born B-JH: Ethnic differences in hypertension prevalence and contributing determinants–the HELIUS study. Eur J Prev Cardiol. 2018;25(18):1914–22.
Nieboer A, Lindenberg S, Boomsma A, Bruggen ACV. Dimensions of well-being and their measurement: the SPF-IL scale. Soc Indic Res. 2005;73(3):313–53.
Nieboer AP, Cramm JM. How do older people achieve well-being? Validation of the Social Production Function Instrument for the level of well-being–short (SPF-ILs). Soc Sci Med. 2018;211:304–13.
Ormel J, Lindenberg S, Steverink N, Verbrugge LM. Subjective well-being and social production functions. Soc Indic Res. 1999;46(1):61–90.
Ormel J, Lindenberg S, Steverink N, Vonkorff M. Quality of life and social production functions: A framework for understanding health effects. Soc Sci Med. 1997;45(7):1051–63.
Meyboom-de Jong B. Richtlijnen goede voeding 2015 van de Gezondheidsraad [Guidelines for healthy eating 2015 from the Health Council]. Bijblijven. 2018;34(5):358–60.
Wendel-Vos GW, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56(12):1163–9.
Wagenmakers R. Akker-Scheek Ivd, Groothoff JW, Zijlstra W, Bulstra SK, Kootstra JW, Wendel-Vos G, van Raaij JJ, Stevens M: Reliability and validity of the short questionnaire to assess health-enhancing physical activity (SQUASH) in patients after total hip arthroplasty. BMC Musculoskelet Disord. 2008;9(1):1–9.
Kemper H, Ooijendijk W, Stiggelbout M. Consensus over de Nederlandse norm voor gezond bewegen [Consensus on the Dutch standard for healthy exercise]. Tijdschrift SocialeGezondheidszorg. 2000;78:180–3.
Kemper H, Ooijendijk W, Stiggelbout M. Consensus over de Nederlandse norm voor gezond bewegen [Consensus about the Dutch standard for healthy exercise]. Tijdschrift voor gezondheidwetenschappen. 2000;3(78):180–3.
van den Akker M, Buntinx F, Knottnerus JA. Comorbidity or multimorbidity: what’s in a name? A review of literature. Eur J Gen Pract. 1996;2(2):65–70.
O’Halloran J, Miller GC, Britt H. Defining chronic conditions for primary care with ICPC-2. Fam Pract. 2004;21(4):381–6.
May JM. Qu Z-c, Nazarewicz R, Dikalov S: Ascorbic acid efficiently enhances neuronal synthesis of norepinephrine from dopamine. Brain Res Bull. 2013;90:35–42.
van Valkengoed IG, Argmann C. Ghauharali-van der Vlugt K, Aerts JM, Brewster LM, Peters R, Vaz FM, Houtkooper RH: Ethnic differences in metabolite signatures and type 2 diabetes: a nested case–control analysis among people of South Asian, African and European origin. Nutr Diabetes. 2017;7(12):1–8.
Zhou X, Perez-Cueto FJ, Santos QD, Monteleone E, Giboreau A, Appleton KM, Bjørner T, Bredie WL, Hartwell H. A systematic review of behavioural interventions promoting healthy eating among older people. Nutrients. 2018;10(2):128.
Ondervoeding en ouderen, wat werkt dossier [Malnutrition and the elderly, what works file] [https://www.loketgezondleven.nl/gezondheidsthema/wat-werkt-ouderen-en-ondervoeding/ondervoeding-bij-ouderen]
Harrison PL, Pope JE, Coberley CR, Rula EY. Evaluation of the relationship between individual well-being and future health care utilization and cost. Popul Health Manag. 2012;15(6):325–30.
Nierkens V, Hartman MA, Nicolaou M, Vissenberg C, Beune EJ, Hosper K, van Valkengoed IG, Stronks K. Effectiveness of cultural adaptations of interventions aimed at smoking cessation, diet, and/or physical activity in ethnic minorities. A systematic review PloS one. 2013;8(10):e73373.
Fox KR. The influence of physical activity on mental well-being. Public Health Nutr. 1999;2(3a):411–8.
Waarom investeren in meer bewegen bij 55-plussers [Why strive for more exercise among people over 55] [https://www.loketgezondleven.nl/gezondheidsthema/sport-en-bewegen/wat-werkt-ouderen-en-bewegen/investeren]
Jagroep W, Cramm JM, Denktaș S, Nieboer AP. Age-friendly neighbourhoods and physical activity of older Surinamese individuals in Rotterdam, the Netherlands. PLoS ONE. 2022;17(1):e0261998.
Maatregelen corona verlengd [Corona measures extended] [https://www.rijksoverheid.nl/actueel/nieuws/2020/04/21/maatregelen-corona-verlengd]
Thoits PA. Stress and health: Major findings and policy implications. J Health Soc Behav. 2010;51:41–53.
Symister P, Friend R. The influence of social support and problematic support on optimism and depression in chronic illness: a prospective study evaluating self-esteem as a mediator. Health Psychol. 2003;22(2):123.
Lindström M, Hanson BS, Östergren P-O. Socioeconomic differences in leisure-time physical activity: the role of social participation and social capital in shaping health related behaviour. Soc Sci Med. 2001;52(3):441–51.
Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium. Soc Sci Med. 2000;51(6):843–57.
Schiepers O, De Groot R, Jolles J, Van Boxtel M. Fish consumption, not fatty acid status, is related to quality of life in a healthy population. Prostaglandins Leukot Essent Fatty Acids. 2010;83(1):31–5.
Jyväkorpi SK, Urtamo A, Pitkälä K, Strandberg T. Happiness of the oldest-old men is associated with fruit and vegetable intakes. European Geriatric Medicine. 2018;9(5):687–90.
Lang I, Gardener E, Huppert F, Melzer D. Was John Reid right? Smoking, class, and pleasure: a population-based cohort study in England. Public Health. 2007;121(7):518–24.
Lantz PM, House JS, Mero RP, Williams DR. Stress, life events, and socioeconomic disparities in health: results from the Americans’ Changing Lives Study. J Health Soc Behav. 2005;46(3):274–88.
Slopen N, Dutra LM, Williams DR, Mujahid MS, Lewis TT, Bennett GG, Ryff CD, Albert MA. Psychosocial stressors and cigarette smoking among African American adults in midlife. Nicotine Tob Res. 2012;14(10):1161–9.
Martín-María N, Caballero FF, Moreno-Agostino D, Olaya B, Haro JM, Ayuso-Mateos JL, Miret M. Relationship between subjective well-being and healthy lifestyle behaviours in older adults: a longitudinal study. Aging Ment Health. 2020;24(4):611–9.
van Etten S, Crielaard L, Muilwijk M, van Valkengoed I, Snijder MB, Stronks K, Nicolaou M. Lifestyle clusters related to type 2 diabetes and diabetes risk in a multi-ethnic population: The HELIUS study. Prev Med. 2020;137:106141.
Schmeets H. Respons van eerste generatie allochtonen in het POLS. Bevolkingstrends. 2004;52(4):92–7.
Feskens R, Hox J, Lensvelt-Mulders G, Schmeets H. Collecting data among ethnic minorities in an international perspective. Field Methods. 2006;18(3):284–304.
Taylor GW, Borgnakke WS. Periodontal disease: associations with diabetes, glycemic control and complications. Oral Dis. 2008;14(3):191–203.
Marín-Zuluaga DJ, Sandvik L, Gil-Montoya JA, Willumsen T. Oral health and mortality risk in the institutionalised elderly. Medicina Oral, Patologia Oral y Cirugia Bucal. 2012;17(4):e618.
Azarpazhooh A, Leake JL. Systematic review of the association between respiratory diseases and oral health. J Periodontol. 2006;77(9):1465–82.
van de Rijt LJ, Stoop CC, Weijenberg RA, de Vries R, Feast AR, Sampson EL, Lobbezoo F. The influence of oral health factors on the quality of life in older people: a systematic review. Gerontologist. 2020;60(5):e378–94.
Fox M, Thayer ZM, Wadhwa PD. Acculturation and health: the moderating role of sociocultural context. Am Anthropol. 2017;119(3):405–21.
Gubernskaya Z. Age at migration and self-rated health trajectories after age 50: understanding the older immigrant health paradox. J Gerontol B Psychol Sci Soc Sci. 2015;70(2):279–90.
Berry JW, Hou F. Immigrant acculturation and wellbeing across generations and settlement contexts in Canada. Int Rev Psychiatry. 2021;33(1–2):140–53.
Rosenthal T. Immigration and acculturation: Impact on health and well-being of immigrants. Curr Hypertens Rep. 2018;20(8):1–8.
Na L, Streim JE. Psychosocial well-being associated with activity of daily living stages among community-dwelling older adults. Gerontology and geriatric medicine. 2017;3:2333721417700011.
Sveen U, Thommessen B, Bautz-Holter E, Wyller TB, Laake K. Well-being and instrumental activities of daily living after stroke. Clin Rehabil. 2004;18(3):267–74.
This study is financed by the Erasmus University Rotterdam as part of the Vital Cities and Citizens Initiative program. The funders had no role in study design. data collection and analysis. decision to publish. or preparation of the manuscript.
Ethics approval and consent to participate
This study was approved by the Ethics Review Committee of the Erasmus University Rotterdam (application 19–048). The committee determined that the rules imposed by the Dutch Medical Research Involving Human Subjects Act did not apply. This study was performed in accordance with the Declaration of Helsinki. All participants provided written informed consent by themselves.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Jagroep, W., Cramm, J.M., Denktaş, S. et al. Health behaviours and well-being among older adults with a Surinamese migration background in the Netherlands. BMC Public Health 22, 2006 (2022). https://doi.org/10.1186/s12889-022-14414-z