SciELO - Scientific Electronic Library Online

 
vol.25 issue4Frailty syndrome related to disability in the elderlyQuality of life of the elderly and participation in group educational activities author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Acta Paulista de Enfermagem

Print version ISSN 0103-2100

Acta paul. enferm. vol.25 no.4 São Paulo  2012 Epub July 31, 2012

http://dx.doi.org/10.1590/S0103-21002012005000018 

ORIGINAL ARTICLE

 

Diabetes mellitus: associated factors among users of the family health strategy*

 

Diabetes mellitus: factores asociados entre usuarios de la estrategia salud de la familia

 

 

Niciane Bandeira Pessoa MarinhoI; Hérica Cristina Alves de VasconcelosII; Ana Maria Parente Garcia AlencarIII; Paulo César de AlmeidaIV; Marta Maria Coelho DamascenoV

IGraduate student (PhD), Nursing Graduate Program, Federal University of Ceará - UFC - Fortaleza (CE), Brazil. Schollarship FUNCAP
IIGraduate student (PhD), Nursing Graduate Program, Federal University of Ceará - UFC - Fortaleza (CE), Brazil, Professor of Nursing at the Catholic University Queen's Hinterland - Quixadá (CE), Brazil
IIIGraduate student (PhD), Nursing Graduate Program, Federal University of Ceara-UFC - Fortaleza (CE), Brazil, Professor of Nursing at the Regional University of Cariri - URCA - Crato (CE), Brazil
IVPh.D. in Public Health. Professor of Medicine, State University of Ceara - UECE - Fortaleza (CE), Brazil
VPhD in Nursing. Professor of the Nursing Graduate Program at the Federal University of Ceará - UFC - Fortaleza (CE), Brazil

Corresponding Author

 

 


ABSTRACT

OBJECTIVE: To identify factors associated with type 2 diabetes (DM2) in users of the Family Health Strategy (FHS) in the city of Itapipoca, Ceará (Brazil).
METHODS: A transversal study, conducted during the period from March/2009 to October/2010, in 11 basic health units, in which sociodemographic and clinical data were collected from a sample of 419 users of these units.
RESULTS: Among the study participants, 250 (59.7%) were overweight, 352 (84.0%) had central obesity, 349 (83.3%) were sedentary, and 225 (53.7%) did not eat fruits and/or vegetables daily. There was a statistically significant association between central obesity and gender variables (p <0.001), age (p = 0.001) and marital status (p <0.001), and between nutrition research and education (p = 0.033) and socioeconomic status (p = 0.007).
CONCLUSION: Because modifiable risk factors for DM2 were identified with a higher prevalence, we suggest the development of educational interventions for changes in the lifestyles of individuals and systematic monitoring of these changes, with the objective of reducing or delaying the onset of the disease.

Keywords: Risk factors; Diabetes mellitus, type 2; Public health nursing; Family health


RESUMEN

OBJETIVO: Identificar los factores asociados a la Diabetes Mellitus tipo 2 (DM2) en usuarios de la Estrategia Salud de la Familia (ESF) de la ciudad de Itapipoca-Ceará.
MÉTODOS: Estudio transversal, realizado en el período de marzo/2009 a octubre/2010, en 11 unidades básicas de salud, en las cuales fueron recolectados los datos sociodemográficos y clínicos de la muestra de 419 usuarios de esas unidades.
RESULTADOS: Entre los participantes del estudio, 250 (59,7%) estaban con exceso de peso, 352 (84,0%) con obesidad central, 349 (83,3%) eran sedentarios y 225 (53,7%) no comían frutas y/o verduras diariamente. Hubo asociación estadísticamente significativa entre las variables obesidad central y sexo (p<0,001), edad (p=0,001) y estado civil (p<0,001); y entre investigación nutricional y escolaridad (p=0,033) y clase económica (p=0,007).
CONCLUSIÓN: Frente a los factores de riesgo modificables para DM2 identificados con mayor prevalencia se sugiere el desarrollo de intervenciones educativas para cambios en el estilo de vida de los individuos y el acompañamiento sistemático de esos cambios, objetivando reducir o retardar la aparición de la enfermedad.

Descriptores: Factores de riesgo; Diabetes mellitus tipo 2; Enfermería en salud pública ; Salud de la familia


 

 

INTRODUCTION

The chronic noncommunicable diseases (CNDs) are the priority agenda of most countries because of its impact on mortality, morbidity and costs for health care. In Brazil, it accounts for the biggest expenditures on medical care in the Unified Health System, according to data presented by the Ministry of Health. In 2005, from the six billion spent on the payment of authorizations for hospital admissions (excluding labours), chronic diseases accounted for 58% of total spending (1).

The main determinants of the epidemic growth of CNDs in Brazil are demographic, related to the population growth and aging, and increased urbanization, besides the changes in the nutritional dietary patterns and physical activity of the Brazilian population (1,2).

Among the CND, diabetes mellitus (DM) stands out, a syndrome of multiple etiologies, it is a consequence for the lack of insulin and/or the inability of insulin to function properly. It is characterized by chronic hyperglycemia with disturbances of the metabolism of carbohydrates, lipids and proteins. There are two main types of diabetes: type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) (3).

The T2DM is caused by a combination of genetic and lifestyle factors. The genes which predispose an individual to have diabetes are considered essential for the development of the disease, but the activation of a genetic predisposition requires the presence of environmental and behavioral factors, particularly those associated with lifestyle (4). In this context, non-modifiable and modifiable risk factors are involved at the outbreak of T2DM.

Among the modifiable risk factors, there are the following overweight and/or total obesity, central obesity, sedentarism, diminished glucose tolerance, metabolic syndrome (hypertension, decreased HDL and increased triglycerides), nutritional factors and inflammation (4).

Researches focused on identifying risk factors for T2DM were developed by nurses involving students, university students and health workers (5-9), highlighting the need to extend the study to other populations, which will provide subsidy for planning interventions which contribute to reduce or delay the appearance of the disease.

Thus, the purpose of this study was to identify T2DM associated factors in users of the Family Health Strategy (FHS).

 

METHODS

Cross-sectional study, carried out from March/2009 to October/2010 by nurses of the research group: "Integrated actions to prevent and control type 2 diabetes mellitus ", Federal University of Ceará, the study scenario was composed of 11 health basic units in the city of Itapipoca in Ceará.

For the sampling design and the choice of subjects, it was according to registration data from the FHS of the city, composed of 23,201 registered users, and consisted with the inclusion criteria (individuals of both genders, aged between 20 and 59 years , waiting for consultation) and exclusion criteria (individuals who lived in the rural area of the city, those who had a confirmed diagnosis of diabetes mellitus, and those with a chronic condition that could directly interfere with anthropometric measurements). The sample was calculated from the indicated formula for the calculation of cross-sectional studies of infinite population.

It was considered a level of significance of 95% and a prevalence of risk factors for T2DM of 50%, considering this value provides a maximum size of the sample and a sample error of 5%. The sample had a total of 419 people.

For data collection, done during the months of January to March of 2010, it was used a form in which sociodemographic and clinical data was registered.

Sociodemographic characteristics:

  • Gender: male and female;
  • Age: the adopted ages were: 20-29 years old, 30-44 years old and 45-59 years old;
  • Marital status: married/consensual union, single, widowed or divorced;
  • Employment situation: active, housewifes/househusband, retired;
  • Education: did not study/functional illiterate, incomplete primary education, complete primary education, incomplete secondary education, complete secondary education, incomplete higher education and complete higher education;
  • Household income: in minimum wages;
  • Economy class: the "Criteria for Economic Classification of Brazil" was used (10). The assessment considers the degree of education of the main household and the presence of certain belongings (color television, radio, bathroom, car, housemaids, vacuum cleaner, washing machine, VCR and / or DVD, refrigerator and freezer), by scores corresponding to the following classes: A1, A2, B1, B2, C, D 1and E.

Measurements:

  • The body mass index (BMI) was obtained from the ratio between weight in kilograms and height in squared meters (kg/m2), being classified according to World Health Organization (11) in: underweight <18.5 ; normal - 18.5 to 24.9, overweight - 25 to 29.9, obesity class I - 30 to 34.9, obesity class II (severe) - 35 to 39.9, obesity class III (morbid) > 40 . Weight was measured in a single measurement in scale brand Lightex ® with the patient barefoot, wearing light clothes and not carrying any objects which could interfere with the measurement result as handbags, mobile phones, among others. The height was also determined through a single measurement using an inelastic tape fixed on the wall, being the zero point at ground level. The patients were standing erect with their barefeet together, keeping their heels and their occipital region in contact with the tape.
  • Waist circumference (WC) was measured in centimeters, with an inelastic tape at the midpoint between the iliac crest and the outer side of the last rib (12). The cutoff point adopted for the classification of central obesity was recommended by the International Diabetes Federation (13): WC > 80 cm for women > 94 cm for men.

To assess physical activity and consumption of fruits and vegetables, the following recommendations of the Ministry of Health (in Brazil) (14) were considered: individuals must practice at least thirty minutes of physical activity every day and eat fruits and vegetables on a daily basis.

The data were double inserted and stored in a database built in Excel. The statistical mean measurement and standard deviation were calculated, the odds ratios (OR), their respective 95% confidence intervals with (95% CI) and p values. For the association analysis between variables, it was decided for the nonparametric tests Chi-square (Χ2). The data were processed in the statistical program Statistical Package for Science Social version 18.0 and presented in tables.

The research project was approved by the Ethics Committee in Research at the Federal University of Ceará (Protocol 346/09) and data were collected after obtaining the signatures of the Consent Term by the study participants.

 

RESULTS

According to the sociodemographic characteristics, the majority of users were: females (88.1%), they were aged between 30 and 44 years (42.5%), with an average of 37 years and standard deviation of 10.8; they were married or had a consensual union (60.4%); they did not work outside their homes, they did only activities at home (57.8%); they did not finish elementary school (39.4%); they received between half and a minimum wage (47.3%), with the average household income around the minimum wage (R$ 516.00, SD = R$ 441.00) and they also belonged to social classes D/E (58.2%).

As for the factors associated with T2DM, 250 users (59.7%) had excess weight , and 171 (41.1%) were classified as overweight and 79 (18.6%) as obese (mean BMI: 26.4; SD: 4.4); when comparing the WC, 352 (84.0%) were classified with central obesity (mean WC: 92.9 cm, SD = 10.8), the vast majority (83.3%) were sedentary and 225 (53.7%) reported that they do not eat fruits and/or vegetables on a daily basis.

Associations between excess weight, central obesity, sedentary lifestyle and inadequate intake of fruits/vegetables with sociodemographic variables are shown in Table 1 and their odds ratios in Table 2. They demonstrated that higher odds of having excess weight involved men users aged between 45 and 59 years, married or in consensual union, who had completed elementary school and who belonged to economic class C.

Concerning central obesity, higher odds prevailed in females, married or in stable relationships and who belonged to the economic class C. Furthermore, central obesity presented as directly proportional to the age and inversely proportional to the education.

Regarding their sedentary lifestyle, those who had more chances were women, users aged between 30 and 44 years, married or in a stable relationship, also those who had completed primary education and belonged to socioeconomic classes D/E. Unlike the excessive weight and central obesity, ages from 45 to 59 years old were identified as a protective factor for sedentarism.

Still on the nutritional research, higher odds of inadequate consumption of fruits and/or vegetables were found among men who were single/divorced/widowed, presenting it inversely proportional to their age, educational level and socioeconomic status. Being of the female gender and married/consensual union presented itself as a protective factor.

 

DISCUSSION

Last decades, due to the increasing prevalence of obesity worldwide, this disease has been one of the major public health problems, being a risk factor for the appearance of several other chronic diseases, among them, diabetes.

Alarming data on the nutritional status of adults in Brazil were found in the Research of Familiar Budget (RFB) 2008-2009, conducted by IBGE (15) in partnership with the Ministry of Health, confirming that the weight of the Brazilians have increased in recent years. During this period, the excess weight in adult men increased from 18.5% to 50.1%, exceeding women, which had an increase from 28.7% to 48%. From these, approximately one third (12.5%) of men and one third (16.9%) of women were obese.

In most studies conducted in Brazil, the distribution according to gender have demonstrated that women compete with the highest prevalence of excess weight and that there is a gradient, according to age and education, indicating more frequency as age increases and between individuals with low education level (16-18).

Unlikely the mentioned studies and confirming the data found in the RFB 2008-2009 (16) and in the present study, other researchers have found higher prevalence of excess weight in males (19-21).

Regarding the prevalence of central obesity found, 84.0%, it was superior to those of other national surveys (19-20) and international (20,21). In these, as well as in the present study, women showed a higher prevalence of central obesity compared to men and a significant linear tendency as their age increase.

Concerning a sedentary lifestyle, the frequency identified in this study, 83.3%, matched to the national mean (83.6%) found in VIGITEL (22). The data indicated that in the entire adult population of 27 Brazilian cities, the frequency of sufficient physical activity during leisure time was 16.4% and it was also higher in males (20.6%) than in females (12, 8%).

Currently, recommendations for healthy life habits such as regular physical activities and healthy eating are increasingly common and in the National Health Promotion (23), it is a priority due to the fact it is believed that regular physical activity and the daily intake of fiber, fruits and vegetables may significantly reduce the incidence of T2DM in patients at high risk of developing the disease (24).

In this study, daily consumption of fruits and/or vegetables found, 46.3%, despite less than ideal, surpassed the national mean showed in VIGITEL-2008 (23), in which the frequency of regular consumption of fruits and vegetables was only 31.5%. However, a higher frequency has been identified in a similar study in the city of Ribeirão Preto SP (25), in which the intake of fruits and vegetables was found to be very high in both genders (over 70%).

Low consumption of fruits and vegetables by adults was also found in an international study (26). In most studies on dietary habits, women ate more fruits and vegetables than men (23,27,28). Variables such as age (22,27,28), income (26) and education (22,26,27) were positively associated with consumption of fruits and vegetables.

The above findings constitute a diagnostic assessment of factors associated with T2DM, which is one of the main competencies of health promotion (29). It is essential to ensure a plan with appropriate strategies, coherent approaches and achievable goals, through health education, which involves awareness of the individual and the community about the importance of adopting a healthy lifestyle.

 

CONCLUSION

In relation to modifiable risk factors for T2DM this study identified a high prevalence of central obesity, sedentary lifestyle, excess weight and inadequate nutrition.

From this perspective, it is part of managers' and health professionals' duties to improve access and quality of health services, especially for the fortification and qualification of the Family Health Strategy, with emphasis on promoting healthy lifestyles, such as regular practice of physical activities, healthy eating habits and weight control.

It should be noted that as a professional promoter of health, the nurse should be able to identify risk factors for T2DM, taking into account the context in which the person is located. Along with their leadership and communication skills, nurses can promote empowerment and participation of such people in the planning of interventions on the risk factors highlighted, tracing, along with people who are interested, a feasible plan of action, with the goal of improving their health.

 

REFERENCES

1. Brasil. Ministério da Saúde. Secretaria de Ciência, Tecnologia e Insumos Estratégicos. Departamento de Ciência e Tecnologia. ELSA Brasil: maior estudo epidemiológico da América Latina. Informes Técnicos Institucionais. Rev Saúde Pública. 2009; 43(1).[citado 2012 Jun 11]. (Informes Técnicos Institucionais). Disponível em: http://www.scielo.br/pdf/rsp/v43n1/it-decit.pdf        [ Links ]

2. Franco LJ. Diabetes: aspectos epidemiológicos. In: Lyra R, Cavalcante, N. Diabetes mellitus. Rio de Janeiro: Diagraphic; 2006. p. 61-70.         [ Links ]

3. Sociedade Brasileira de Diabetes. Tratamento e acompanhamento do Diabetes Mellitus: Diretrizes da Sociedade Brasileira de Diabetes. [S.l.]; Sociedade Brasileira de Diabetes; 2009.         [ Links ]

4. Alberti KG, Zimmet P, Shaw J. International Diabetes Federation: a consensus on Type 2 diabetes prevention. Diabet Med. 2007; 24(5):451-63.         [ Links ]

5. de Macêdo SF, de Araújo MF, Marinho NP, Lima AC, de Freitas RW, Damasceno MM. Risk factors for type 2 diabetes mellitus in children. Rev Latinoam Enferm. 2010; 18(5):936-42.         [ Links ]

6. da Silva AR, Damasceno MM, Carvalho ZM, Hissa MN, Almeida PC, Silva LF. Prevalencia de factores de riesgo para diabetes mellitus tipo 2 en adolescentes de Fortaleza-Brasil. Enferm Integral. 2007; (78): 11-4.         [ Links ]

7. Vilarinho RM, Lisboa MT, Thiré PK, França PV. Prevalência de fatores de risco de natureza modificável para a ocorrência de diabetes mellitus tipo 2. Esc Anna Nery Rev Enferm. 2008; 12(3):452-6.         [ Links ]

8. Vilarinho RM, Lisboa MT. Diabetes mellitus: risk factors for nursing workers. Acta Paul Enferm. 2010; 23(4):557-61.         [ Links ]

9. Tavares DM, Reis NA, Dias FA, Lopes FA. Diabetes mellitus: occurrence of risk factors and care among nursing workers. Acta Paul Enferm. 2010; 23(5):671-6.         [ Links ]

10. Associação Brasileira de Empresas de Pesquisa. Critério de Classificação Econômica Brasil 2008 [Internet]. [citado 2012 Jun 11]. Disponível em: http://www.abep.org/novo/Content.aspx?ContentID=302        [ Links ]

11. World Health Organization. Technical report series 894. Obesity: preventing and managing the global epidemic. Geneva: WHO; 2000. (Technical Reports Series, 894).         [ Links ]

12. Pontes LM, Sousa MS, Lima RT, Campos RD, Gomes ER, Santos GL, et al. Prevalence of risk factors of non-transmissible chronic diseases: the impact of 16 weeks of soccer training at nutritional status and physical aptitude indexes in society soccer practitioners. Rev Bras Med Esporte. 2006; 12(4):211-5.         [ Links ]

13. Alberti KG, Zimmet P, Shaw J. IDF Epidemiology Task Force Consensus Group. The metabolic syndrome: a new worldwide definition. Lancet. 2005; 366(9491): 1059-62.         [ Links ]

14. Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Coordenação-Geral da Política de Alimentação e Nutrição. Guia alimentar para a população brasileira: promovendo a alimentação saudável [Internet] [citado 2012 Jun 11]. Disponível em: http://dtr2001.saude.gov.br/editora/produtos/livros/pdf/05_1109_M.pdf        [ Links ]

15. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares POF-2008-2009. Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil [Internet] [citado 2012 Jun 9]. Disponível em: http://www.ibge.gov.br/home/presidencia/noticias/noticia_visualiza.php?id_noticia=1699&id_pagina=1        [ Links ]

16. Lahti-Koski M, Seppänen-Nuijten E, Männistö S, Härkänen T, Rissanen H, Knekt P, et al. Twenty-year changes in the prevalence of obesity among Finnish adults. Obes Rev. 2010; 11(3):171-6.         [ Links ]

17. Gigante DP, Moura EC, Sardinha LM. Prevalence of overweight and obesity and associated factors, Brazil, 2006 Rev Saúde Pública. 2009; 43 Suppl 2:83-9.         [ Links ]

18. Oliveira LP, Assis AM, Silva M da C, Santana ML, Santos NS, Pinheiro SM, et al. Fatores associados a excesso de peso e concentração de gordura abdominal em adultos na cidade de Salvador, Bahia, Brasil. Cad Saúde Pública. 2009; 25(3):570-82.         [ Links ]

19. Mariath AB, Grillo LP, Silva RO, Schmitz P, Campos IC, Medina JR, et al. [Obesity and risk factors for the development of chronic non-transmissible diseases among consumers in a food service unit]. Cad Saúde Pública. 2007; 23(4):897-905. Portuguese.         [ Links ]

20. Vernay M, Malon A, Oleko A, Salanave B, Roudier C, Szego E, et al. Association of socioeconomic status with overall overweight and central obesity in men and women: the French Nutrition and Health Survey 2006. BMC Public Health. 2009; 9:215.         [ Links ]

21. Saaristo TE, Barengo NC, Korpi-Hyövälti E, Oksa H, Puolijoki H, Saltevo JT, et al. High prevalence of obesity, central obesity and abnormal glucose tolerance in the middle-aged Finnish population. BMC Public Health. 2008; 8:423.         [ Links ]

22. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Secretaria de Gestão Estratégica e Participativa. Vigitel Brasil 2008. Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre freqüência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2008. Brasília (DF): Ministério da Saúde; 2009.         [ Links ]

23. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Secretaria de Atenção à Saúde. Política Nacional de Promoção da Saúde [Internet]. Brasília (DF): Ministério da Saúde; 2006. [citado 2012 Jun 11]. Disponível em: http://portal.saude.gov.br/portal/arquivos/pdf/Politica_nacional_%20saude_nv.pdf        [ Links ]

24. Laaksonen DE, Lindström J, Lakka TA, Eriksson JG, Niskanen L, Wikström K, et al. Finnish diabetes prevention study. Physical activity in the prevention of type 2 diabetes: the Finnish diabetes prevention study. Diabetes. 2005;54(1):158-65.         [ Links ]

25. Mondini L, Moraes AS, Freitas ICM, Gimeno SG. Fruit and vegetable intake by adults in Ribeirão Preto, Southeastern Brazil. Rev Saúde Pública. 2010; 44(4):686-94.         [ Links ]

26. Hall JN, Moore S, Harper SB, Lynch JW. Global variability in fruit and vegetable consumption. Am J Prev Med. 2009; 36(5):402-9.e5.         [ Links ]

27. Figueiredo IR, Jaime PC, Monteiro CA. [Factors associated with fruit and vegetable intake among adults of the city of São Paulo, Southeastern Brazil]. Rev Saúde Pública. 2008; 42(5):777-85. Portuguese.         [ Links ]

28. Magarey A, McKean S, Daniels L. Evaluation of fruit and vegetable intakes of Australian adults: the National Survey 1995. Aust N Z J Public Health. 2006; 30(1):32-7.         [ Links ]

29. Dempsey C, Battel-Kirk B, Barry MM. The CompHP Core Competencies Framework for Health Promotion Handbook [Internet]. Health Promotion Research Centre. National University of Ireland Galway. 2011. [cited 2012 Jun 11]. Disponível em: http://www.iuhpe.org/uploaded/CompHP_Competencies_Handbook.pdf        [ Links ]

 

 

Corresponding Author:
Niciane Bandeira Pessoa Marinho
Rua Osvaldo Primo Caxilé, 1084, Violete
CEP:62500-000 - Itapipoca-CE
E-mail: nicianebpm@yahoo.com.br

Received article 21/05/2011 and accepted 05/01/2012

 

 

* Study conducted at the Federal University of Ceará - UFC - Fortaleza (CE), Brazil.
Extracted from the master's thesis"Assessment of risk for type 2 diabetes mellitus among adults in Itapipoca-Ceará ", defended at the Nursing Graduate Program at the Federal University of Ceará, in 2010.