Challenges in access to health services and its impact on quality of life: a randomised population-based survey within Turkish speaking immigrants in London
© Topal et al; licensee BioMed Central Ltd. 2012
Received: 25 November 2011
Accepted: 26 January 2012
Published: 26 January 2012
Background and aim
There are a significant number of Turkish speaking immigrants living in London. Their special health issues including women's health, mental health, and alcohol and smoking habits has been assessed. The aim of this study was to explore the ongoing challenges in access to health care services and its impact on Quality of Life of immigrants.
Material and methods
This cross-sectional population-based study was conducted between March and August 2010 with Turkish immigrants (n = 416) living in London. Of these, 308 (74%) were Turkish and 108 (26%) were Turkish Cypriots. All healthy or unhealthy adults of 17-65 years of age were enrolled. A structured questionnaire with 44 items in five subcategories and 26-items WHOQOL BREF were used.
Mean duration of stay for Turkish Cypriots (26.9 ± 13.9 years) was significantly longer than Turkish immigrants (13.3 ± 7.5) (p < 0.001). Turkish immigrants (n = 108, 36.5%) need interpretation more often when using health services than Turkish Cypriots (n = 16, 15%) (p < 0.001). Multivariate analyses suggested significant effects of older age, non-homeownership, low socioeconomic class, poor access to health services, being ill, poor community integration and being obese on physical well-being and also significant effects of low income and poor community integration on perceived overall Quality of Life (WHOQOL) of the participants.
The results of this study demonstrate how the health and well-being of members of the Turkish speaking community living in London are affected by social aspects of their lives. Providing culturally competent care and interpretation services and advocacy may improve the accessibility of the health care.
The growing scope of migratory movements all over the world raises specific health questions in both sending and receiving countries. Migrants are particularly vulnerable to health problems . The biomedical and biopsychosocial dimensions of migration will possibly pose new and more difficult challenges to those who move, those they leave behind and those who host them in receiving societies . Migrants often experience other life transitions, such as occupational and socioeconomic changes and social network alterations after physical relocation . Significant number of Turkish speaking immigrants is living in London . Like other vulnerable groups, they face with various obstacles in access to health care services. Studies draw attention to cultural and linguistic barriers and a lack of information or understanding about how the healthcare system works in the United Kingdom (UK) [5–7].
There are a number of studies focusing on special health issues including women's health, mental health, and alcohol and smoking habits among Turkish Speaking Communities (TSCs) [8–12]. On the other hand, little attention has been paid to Quality of Life (QoL) of TSCs with validated scales up-to-date. The World Health Organization (WHO) defines QoL as an individual's perception of their position in life in the context of the culture and value systems in which they live. WHOQOL BREF is a QoL assessment tool and was developed by the WHO. It is a cross-culturally valid assessment within four major domains: physical and psychological well-being, social relationship and satisfaction with environment [13–16].
TSCs have been a quite big language community in the UK since the early 1950s. The communities came originally from Cyprus and Turkey and have different immigration patterns. The Turkish Cypriots were the first to arrive in England and can be traced to the 1920s. Increased numbers arrived in the 1940s and late 1950s. A large wave from Cyprus came in the 1960s after the island became independent. Another large wave came as a result of the Turkey's intervention in 1974. This group's ties to Britain are stronger, as Cyprus was a British colony until 1960. Migration from mainland Turkey to Britain due to various economic and political reasons began in the early 1970s and followed 1980s and 1990s. There are smaller communities scattered around Britain but the majority of them live in and around London. They are working and living in the same areas and involved in similar economic, political, social and cultural activities .
The aim of this study was to explore the ongoing challenges when accessing to health services and to assess its impact on the QoL. Sharing the results with public authorities will hopefully improve the well-being of TSCs in terms of reaching and using health care services.
Subjects and methods
This cross-sectional population-based study was conducted between March and August 2010 with Turkish immigrants (n = 416) living in London; Turkish Immigrants (Group A, n = 308, 74%) and Turkish Cypriots (Group B, n = 108, 26.0%). All healthy or unhealthy adults of 17-65 years of age were enrolled. Inclusion criteria were as follows: Being ≥ 17 years of age, giving written consent, living in the UK at least for one year.
TSCs are heavily concentrated in the London boroughs of Haringey, Enfield, Edmonton, Waltham Forest, Islington and Hackney. There are a large number of Turkish enterprises and Turkish food markets, kebab houses and coffee shops especially in Hackney and Haringey. Many Turkish community centres settled in these regions. They help Turkish speaking immigrants overcome barriers to education, employment, health and other problems. Advice on benefits, housing, immigration and nationality is provided. There is also English for Speakers of Other Languages (ESOL), computer, art, dancing and drama courses. Some of them give educational support for primary and secondary school children. Most of them also run a luncheon club for the elderly.
Promotion and advocacy activities
Social Action for Health (SAfH) is a community development charity based in East London and supported this survey. SAfH works alongside marginalized local people and links community groups for mutual benefit, help communities to organise and encourage local people to take more control of their lives and their health and well-being. A launch meeting with a conference for research project was hosted by SAfH at Hackney office at May 21st 2010. This was attended by representatives from local Turkish community centres, health care workers, health advocates and carers, and other community members. The research project was announced in seven local community-based newspapers, broadcasted in a radio and television interviews. The participants in this study were reached using the database of SAfH and Turkish community centres working with together. Many organizations and enterprises and 13 community centres joined the study.
A structured questionnaire with 44 items in five subcategories was completed face-to-face. These subcategories are as follows: Sociodemographic, cultural and financial characteristics (9 items), migration patterns and issues of migration (7 items), work life (7 items), objective health status and access to health services (14 items) and health promotion or risk behaviours (7 items). Then, 26-item WHOQOL BREF scale which was developed by the World Health Organization (Additional file 1) was completed. It is a QoL assessment tool which is currently scored in four domains: Physical health (7 items), psychological well- being (6 items), social relationship (3 items) and satisfaction with the environment (8 items). Each item is rated on a 5-point Likert scale and the domain scores are transformed to 4-20 to enable comparisons. Domains are not scored where 20% of items or more are missing, and are unacceptable where two or more items are missed except for the Environment Domain allowing two missing items. Four types of 5-point Likert interval response scales were used in the WHOQOL-BREF. Items inquire 'how much', 'how completely', how often', 'how good' or 'how satisfied' the respondent felt in the last two weeks; different response scales are distributed across the domains.  The Turkish version of the WHOQOL BREF (TR) was reliable and valid .
Sampling and data collection
There is no accurate population database on the size of the TSCs but reliable estimates suggest that the population may be around 340.000-360.000 . The sample size calculation was set up a 95% confidence interval with significance level of p < 0.05. The estimated size of sample is 384. Sample selection was done by a mixed method of randomised cluster sampling and snowball sampling approaches because of unavailability of the entire list of Turkish inhabitants in London. The available but restricted list of Turkish population supplied by SAfH was used as a database for the selection of one person for each of the sampling clusters. A total of 39 clusters and one person for each cluster were identified. These 39 persons were selected by random selection from the list and each was asked to invite 10 Turkish friends for the study. As a result, 416 Turkish speaking persons were involved. The target sample size was increased from 384 to 416 by the invitation of more than 10 persons for each cluster in some clusters to increase the power of the study. The questionnaires were applied by the principal investigator and the three trained bilingual interviewers supported by SAfH between May-July 2010.
The questionnaire was prepared both in English and Turkish and WHOQOL-BREF or the Turkish version WHOQOL-BREF (TR) were used . Participants were interviewed either in English or Turkish. All participants gave written consent. Consent forms were secured at SAfH Hackney Office Data was installed in August 2010 and consent forms and questionnaires were kept locked until the end of December 2010 and then shredded.
Descriptive statistics were used to summarize data for sociodemographic characteristics, migration patterns and issues of migration, objective health status and accessibility to health services. The dependent variables (i.e. domains of the WHOQOL) scores were dichotomized via the median values. "Health services access questions" were composed in order to generate a "health services access composite index score". This index score was categorized into three broad categories for the relevancy to the logistic regression models. Chi square tests and independent samples t-test were used in the bivariate analyses. Logistic regression analysis (LRA) was used to assess the final effects of the independent variables on the dependent variables. Adjusted Odds ratios were used as final measures of causality. For all statistical tests, p values less than 0.05 were considered as significant.
Sociodemographic characteristics of Turkish Speaking Communities.
Turkish Immigrants (Group A) (n = 308)
Turkish Cypriots (Group B) (n = 108)
Age (mean ± SD) (years)
36.9 ± 9.5
44.6 ± 1.4
38.9 ± 1.1
Date of birth
Household type: adults
5 or more adults
skilled manual worker
semi and unskilled manual worker
Perceived socioeconomic status
well below average
slightly below average
average levels of society
a little above average
much above average
Health promotion or risk behaviours and objective health status of Turkish Speaking Communities
Health promotion or risk behaviours
Turkish Immigrants (Group A)
Turkish Cypriots (Group B)
Having chronic illness
Body Mass Index ± SD
25.5 ± 4.0
26.4 ± 4.4
25.7 ± 4.1
Access to health care services
Access to health care services
Turkish Immigrants (Group A)
Turkish Cypriots (Group B)
Registered With GP
Difficulty when getting referrals to a hospital
Difficulty after being referred to a hospital
Not using GP services
Other type of health care services
Turkish speaking private GP
Other private physicians
Visiting a physician in Turkey or Cyprus
Need for interpretation for health care services
Interpreter for health care services
A family member
Official interpreter/health advocate
Access Index *
5.5 ± 1.3
6.2 ± 1.2
5.7 ± 1.3 ††
Quality of Life dimensions of the participants
Country of Origin
Perceived overall QoL
15.6 ± 2.9
14.8 ± 2.6
14.6 ± 2.8
13.8 ± 2.2
3.04 ± 0.8
3.30 ± 1.0
15.8 ± 2.7
15.4 ± 2.2
15.1 ± 2.6
14.9 ± 1.8
3.46 ± 0.6
3.58 ± 0.8
p = 0.03
p < 0.0001
p < 0.05
p = 0.008
WHOQOL domains and related factors
Perceived overall QoL
Age (middle age)
ref = younger age
ref = younger age
Educational status (low)
Perceived income (poor)
Coupling (marital) (single)
Home ownership (non)
Socioeconomic status (low)
Reason for migration
Level of access to health care services
Objective health (ill)
Community integration (poor)
Body Mass Index (BMI = 25.0-29.9)
ref = BMI < 25.0
Body Mass Index
(BMI > 29.9)
ref = BMI < 25.0
Ability to speak English (poor)
Country of origin
Migration has always been a characteristic of human society, and one that has probably always been pregnant with health challenges . A significant number of Turkish speaking immigrants are living in London. However, there are only a few studies on their health care needs.
In our study, there were some differences among TSCs; Turkish immigrants were younger and less educated than Turkish Cypriots. The unemployment rate was higher in Turkish immigrants and Turkish Cypriots were more crowded in 'middle management'. The mean duration of stay in the UK was longer for Turkish Cypriots and all of them had permanent residence. Turkish Cypriots had come earlier and were more settled than immigrants from mainland Turkey. They have a colonial connection with Britain so their ties to Britain are stronger .
Although most of the participants registered with a GP, nearly one fifth reported that they were not using GP services. Language barriers made it difficult to access health care services for minority ethnic groups. Migrants often used family members and children as interpreters. Cinar had investigated primary health care needs of TSCs (n = 129) in London; more than half of the respondents stated that they were experiencing communication problems and needed interpretation when using health care services (n = 72, 55.8%) . In our study, Turkish immigrants needed interpretation more often when using health care services than Turkish Cypriots and they mostly used official interpreters, health advocates and their spouse for interpretation. The need for interpreter was lower in Turkish Cypriots than that of Turkish immigrants (36.5% vs. 15%).
QoL scores of Turkish immigrants and Turkish Cypriots were higher than those obtained from the Turkish population living in Turkey . These results might be attributed to the higher educational status of the respondents of this study compared to the educational status of the population in Turkey. On the other hand, Turkish Cypriots were more likely to have higher scores in overall perceived QoL, perceived health, physical well-being and social relationship dimension scores than Turkish immigrants. However, none of the dimensions were sensitive to the country of origin in the logistic regression analyses.
It was found in literature that older age, female gender, having any chronic disease, having a low educational and socioeconomic status worsen QoL scores. Older age showed a special effect of physical well-being which would be logical since older age is the age of chronic diseases. Bayram et al reported that those who immigrated at younger ages had a better QoL in Turkish immigrants in Sweden.  A number of international normative QoL data [20–22] including Turkish normative data [18, 23] also indicated the negative effect of age on QoL.
Turkish immigrant studies from Sweden and the Netherlands also reported that there was a gender difference in QoL in favour of males [19, 24]. In our study, we found that there was a significant relationship between gender and psychological well-being and self-rated health and women had lower scores. However, other studies found lower scores almost in all domains of WHOQOL for women [19–22]. It was reported that men had significantly higher physical well-being scores than women, whereas some of the sub-domains of psychological well-being were not distinctive among men and women .
Only the environmental well-being was affected from low educational status, perceived income and home ownership. It is known this domain is much more sensitive to socioeconomic variables than other factors and also could not discriminate ill and well persons [15, 17]. Our results showed that low income was significantly related to psychological and environmental well-being, social relationships, and overall QoL. No significant association was found between marital status and all four domains. Our results were consistent with some other previous studies [25, 26].
The results showed that not owning a home affected physical, social and environmental well-being negatively. Owning a property is an important economic and social indicator. Having a lower socioeconomic status and physical and psychological well-being, social relationships, self-rated health and being unhealthy were significantly related. Low socioeconomic class was significantly related to self-rated health [27–29].
Migrants appear to be more exposed to physical or mental health problems than the rest of the population due to their vulnerable situation and to cultural obstacles in host countries. These health risks increase when compounded by limited access to health care services [1–3]. Poor access to health care services was affected only by the physical well-being negatively. Leavey et al underlined the different nature and importance of the stigma of mental illness in the TSCs . Turkish patients could not easily reveal their mental illness and dislike having someone to translate deeply personal and intimate thoughts and experiences. They are likely to reject or avoid if possible, contact with non Turkish doctors for their mental health problems. May be they could not express themselves fairly based on these cultural aspects and health beliefs.
Antonovsky pointed out the importance of the psychological, social, and cultural resources that people can use and the role of "sense of coherence" to stay healthy . It is also an important factor in a migrant's capacity to cope with stress and improve QoL during the early adaptation. Many organizations and programs in Europe supported research projects and policy works to help ensure that migration and integration can be managed in a socially just and equitable manner [31, 32]. In our study, community integration was found to be associated with the economic power. It was the only variable showing significant relationship with the perceived overall QoL. We found that obesity was significantly related to the psychological well-being. There are some studies focusing on the negative effect of overweight on mental well-being [33–35].
On the other hand, ability to speak English was significantly related to all dimensions in the univariate analysis whereas it was not related to any of the dimensions in the multivariate analysis. These contradicting results suggest that ability to speak English was represented by any other variables such as education, income etc. that were already included in the regression models.
This study has some limitations. First, our results cannot be generalized to the Turkish community living in London due to lack of records of Turkish immigrants living in London. We had to design a mixed sampling method cluster sampling and snowball sampling which cannot be regarded as a probability sampling approach. A second limitation was the measurement of the accessibility of the health care services which was not based on pre-validated measures. A number of recently validated instruments and methods are available for the measurement of the performance of the health care services and health promotion [36–41]. We did not use any of them as they are very long and our respondents will have time constraints. Instead, we followed the main concepts and domains of these instruments while developing our semi-structured questionnaire for the assessment of accessibility of health care. However, our questionnaire needs to be validated.
The results of this study not only demonstrated how the health and well-being of members of the Turkish speaking community living in London were affected by social aspects of their lives but also point to the need for urgent action by local statutory services to address the social issues raised, such as language barriers and integration. Nevertheless, QoL of the Turkish community living in London has a moderate level of health related QoL. The good thing is the indifference of the physical and social well-being scores of the Turkey originated and Cyprus originated Turkish community.
Providing culturally competent care and interpretation services and advocacy may improve the accessibility of the health care services. We anticipate that sharing the results of this study with the public authorities will contribute to the policy making process.
This study was supported by the Social Action for Health, London (SAfH) and funded by the Scientific and Technological Research Council of Turkey (TUBITAK).
We wish to thank all the community centres, organizations and people who participated in this survey. We also thank Mr Ahmet Caglar, Mr Ismail Sayar and Mrs Lis Retzmann for their generous contributions.
- Ponsonby L: Health conditions of migrants and refugees in Europe. United Kingdom, SOC, for the Committee on Migration, Refugees and Demography, Doc. 8650, Feb 2000. Retrieved March 10, 2010 from: http://assembly.coe.int/Documents/WorkingDocs/doc00/EDOC8650.HTMGoogle Scholar
- Carballo M, Mboup M: International migration and health. A paper prepared for the Policy Analysis and Research Programme of the Global Commission on International Migration, International Centre for Migration and Health, Sept 2005. Retrieved March 10, 2010 from: http://www.iom.int/jahia/webdav/site/myjahiasite/shared/shared/mainsite/policy_and_research/gcim/rs/RS4.pdfGoogle Scholar
- Lassetter JH, Callister LC: The impact of migration on the health of voluntary migrants in western societies. J Transcult Nurs 2009, 20(1):93–104.View ArticlePubMedGoogle Scholar
- Aydin MA: Turkish-Speaking Communities and Education: No Delight. London: Fatal Publications; 2001.Google Scholar
- Cinar F: Primary health care needs of the Turkish speaking community. Copies available at Kings Fund Library; 1995:30.Google Scholar
- Goodyer L, Savage I, Dikmen Z: Inhaler technique in Turkish people with poor English: a case of information discrimination? Pharm World Sci 2006, 28(2):107–14. 10.1007/s11096-006-9019-5View ArticlePubMedGoogle Scholar
- McColl K, Pickworth S, Raymond I: Project: London-supporting vulnerable populations. BMJ 2006, 332(7533):115–7. 10.1136/bmj.332.7533.115PubMed CentralView ArticlePubMedGoogle Scholar
- Kansu F: Assessing the health needs of Turkish and Kurdish speaking women in Hackney. Copies available at Kings Fund Library; 1997:44.Google Scholar
- Ulusahin A, Basoglu M, Paykel ES: A cross-cultural comparative study of depressive Symptoms in British and Turkish clinical samples. Soc Psych Epidemiol 1994, 29: 31–9.Google Scholar
- Leavey G, Guvenir T, Casanovas SH, Dein S: Finding help: Turkish-speaking refugees and migrants with a history of psychosis. Transcultural Psychiatry 2007, 44(2):258–74. 10.1177/1363461507077725View ArticlePubMedGoogle Scholar
- Theodorou Z: Alcohol and the invisible communities: needs and attitudes in the Cypriot and Turkish groups. Copies available at Kings Fund Library; 1992:33.Google Scholar
- Stevens W, Thorogood M, Kayikki S: Cost-effectiveness of a community anti-smoking campaign targeted at a high risk group in London. Health Promot Int 2002, 17(1):43–50. 10.1093/heapro/17.1.43View ArticlePubMedGoogle Scholar
- WHOQOL Group: Development of the WHOQOL: Rationale and current status. Int J Mental Health 1994, 23: 24–56.View ArticleGoogle Scholar
- WHOQOL Group: Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med 1998, 28(3):551–8.View ArticleGoogle Scholar
- Eser E, Fidaner H, Fidaner C, Eser SY, Elbi H, Goker E: Psychometric properties of the WHOQOL-100 and WHOQOL-BREF. 3P Journal 1999, 7(2):23–40. [in Turkish]Google Scholar
- Twigg S, Schaefer S, Austin G, Parker K: Turks in Europe: Why are we afraid? The Foreign Policy Centre London; 2005. Retrieved May 1, 2010from: http://fpc.org.uk/fsblob/597.pdf.Google Scholar
- Skevington SM, Lotfy M, O'Connell KA: The World Health Organization's WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial-A report from the WHOQOL group. Qual of Life Res 2004, 13(2):299–310.View ArticleGoogle Scholar
- Eser E, Baydur H: The WHOQOL-BREF Questionnaire: Psychometric Properties of the Turkish National Data Pool 2000–2010. In 17th ISOQOL Annual Conference. London; 2010. Abstract book no: 1419Google Scholar
- Bayram N, Thorburn D, Demirhan H, Bilgel N: Quality of life among Turkish immigrants in Sweden. Qual Life Res 2007, 16: 1319–33. 10.1007/s11136-007-9249-6View ArticlePubMedGoogle Scholar
- Cruz LN, Polanczyk CA, Camey SA, Hoffmann JF, Fleck MP: Quality of life in Brazil: normative values for the WHOQOL-BREF in a southern general population sample. Qual Life Res 2011, 20(7):1123–9. 10.1007/s11136-011-9845-3View ArticlePubMedGoogle Scholar
- Noerholm V, Groenvold M, Watt T, Bjorner JB, Rasmussen NA, Bech P: Quality of life in the Danish general population-normative data and validity of WHOQOL-BREF using Rasch and item response theory models. Qual Life Res 2004, 13: 531–40.View ArticlePubMedGoogle Scholar
- Baumann C, Erpelding ML, Régat S, Collin JF, Briançon S: The WHOQOL-BREF Questionnaire: French adult population norms for the physical health, psychological health and social relationship dimensions. Rev Epidemiol Sante Publique 2010, 58(1):33–9. 10.1016/j.respe.2009.10.009View ArticlePubMedGoogle Scholar
- Demiral Y, Ergor G, Unal B, Semin S, Akvardar Y, Kivircik B, et al.: Normative data and discriminative properties of short form 36 (SF-36) in Turkish urban population. BMC Public Health 2006, 9(6):247.View ArticleGoogle Scholar
- Hoopman R, Terwee CB, Deville W, Knol DL, Aaronson NK: Evaluation of the psychometric properties of the SF-36 health survey for use among Turkish and Moroccan ethnic minority populations in the Netherlands. Qual Life Res 2007, 16: 1319–33. 10.1007/s11136-007-9249-6View ArticleGoogle Scholar
- Pala T, Eser E, Ozmen B, Aydemir O, Boyvoda S: The determinants of quality of life including treatment satisfaction in patients with type two diabetes mellitus: Are different generic Qol instruments sensitive to the same determinants? Turkish Journal of Endocrinology and Metabolism 2004, 3: 91–9. [in Turkish]Google Scholar
- Naumann VJ, Byrne G: WHOQOL-BREF as a measure of quality of life in older patients with depression. Int Psychogeriatr 2004, 16: 159–73. 10.1017/S1041610204000109View ArticlePubMedGoogle Scholar
- Mansyur C, Amick BC, Harrist RB, Franzini L: Social capital, income inequality, and self-rated health in 45 countries. Soc Sci Med 2008, 66(1):43–56. 10.1016/j.socscimed.2007.08.015View ArticlePubMedGoogle Scholar
- Molarius A, Berglund K, Eriksson C, Lambe M, Nordström E, Eriksson HG, et al.: Socioeconomic conditions, lifestyle factors, and self-rated health among men and women in Sweden. Eur J Public Health 2007, 17(2):125–33. 10.1093/eurpub/ckl070View ArticlePubMedGoogle Scholar
- Min SK, Kim KI, Lee CI, Jung YC, Suh SY, Kim DK: Development of the Korean versions of WHO Quality of Life scale and WHOQOL-BREF. Qual Life Res 2002, 11(6):593–600. 10.1023/A:1016351406336View ArticlePubMedGoogle Scholar
- Antonovsky A: Unraveling the Mystery of Health-How People Manage Stress and Stay Well. San Francisco: Jossey-Bass Publishers; 1987.Google Scholar
- Penninx R, Spencer D, Van Hear N: Migration and Integration in Europe: The State of Research. ESRC Centre on Migration, Policy and Society (COMPAS), University of Oxford; 2008. Retrieved June 11, 2010 from: http://www.norface.org/files/migration-COMPAS-report.pdf.Google Scholar
- Collett E: European Programme for Integration and Migration Synthesis report of the first phase 2005–2007. Steering Committee of EPIM (European Programme for Integration and Migration); 2008. Retrieved June11, 2010 from: http://www.epim.info/wp-content/uploads/2011/01/EPIMSynthesis-Report-of-the-First-Phase-2005-2007.pdf.Google Scholar
- Ucan O, Ovayolu N: Relationship between diabetes mellitus, hypertension and obesity, and health-related quality of life in Gaziantep, a central south-eastern city in Turkey. J Clin Nurs 2010, 19(17–18):2511–9. 10.1111/j.1365-2702.2010.03295.xView ArticlePubMedGoogle Scholar
- Sarac F, Parildar S, Duman E, Saygili F, Tuzun M, Yilmaz C: Quality of life for obese women and men in Turkey. Prev Chronic Dis 2007, 4(3):A50.PubMed CentralPubMedGoogle Scholar
- Dinc G, Eser E, Saatli GL, Cihan UA, Oral A, Baydur H, et al.: The relationship between obesity and health related quality of life of women in a Turkish city with a high prevalence of obesity. Asia Pac J Clin Nutr 2006, 15(4):508–15.PubMedGoogle Scholar
- Starfield B: Primary Care: Concept, Evaluation, and Policy. New York, NY: Oxford University Press; 1992.Google Scholar
- Lagarlı T, Eser E, Akdeniz M, Aydoğdu B, Baklaya U, Fıra C, et al.: Assessing the structural and functional properties of family physician services by using the PCAS (Primary Care Assessment Survey: Primary Care Evaluation Scale) scale. Turkish Journal of Public Health 2011, 9(1):16–32.Google Scholar
- Kasmel A, Tanggrad P: Evaluation of changes in individual community-related empowerment in community health promotion interventions in Estonia. Int J Environ Res Public Healt 2011, 8(6):1772–91. 10.3390/ijerph8061772View ArticleGoogle Scholar
- Svedberg P, Arvidson B, Svenson B, Hansson L: Psychometric characteristics of a self-report questionnaire (HPIQ) focusing on health promotion interventions in mental health services. Int J Ment Health Nurs 2008, 17(3):171–9. 10.1111/j.1447-0349.2008.00527.xView ArticlePubMedGoogle Scholar
- Tsuboi S, Hayakawa T, Kanda H, Fukushima T: Physical activity in the context of clustering patterns of health-promoting behaviors. Am J Health Promot 2011, 25(6):410–6. 10.4278/ajhp.090720-QUAN-232View ArticlePubMedGoogle Scholar
- Kliche T: [Structures and quality assurance of preventive care and health promotion in Germany]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2011, 54(2):194–206. 10.1007/s00103-010-1210-0View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.