Impact of dietary patterns, individual and workplace characteristics on blood pressure status among civil servants in Bida and Wushishi communities of Niger State, Nigeria

Autoři: Phillips Edomwonyi Obasohan aff001;  Josephine N. Okorie aff002;  Adamu Lapai Sule aff003;  Khadijat Jumai Ndako aff002
Působiště autorů: Department of Liberal Studies, College of Administrative and Business Studies, Niger State Polytechnics, Bida Campus, Bida, Niger State, Nigeria aff001;  Department of Hospitality Management, College of Administrative and Business Studies, Niger State Polytechnics, Bida Campus, Bida, Niger State, Nigeria aff002;  Department of Library Information Science, College of Administrative and Business Studies, Niger State Polytechnics, Bida Campus, Bida, Niger State, Nigeria aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article


The global burden estimate of hypertension is alarming and results in several million deaths annually. A high incidence of sudden deaths from cardiovascular diseases in the civil workforce in Nigeria is often reported. However, the associations between Dietary Patterns (DPs), individual, and workplace characteristics of hypertension among this workforce have not been fully explored. This study aimed to identify DP in the Bida and Wushishi Communities of Niger State and establish its relationship with hypertension along with other individual and workplace characteristics. Factor analysis was used to establish DP, Chi-square test to identify their relationships with hypertension, and logistic regression to determine the predictor risk factors. The prevalence of hypertension was 43.7%; mean weight, height, and body fat were: 72.8±15 kg, 166±8.9 mm and 30.4%, respectively. Three DPs: “Efficient Diet,” “Local diet,” and “Energy Boost Diet” were identified. The factor loading scores for these factors were divided into quintiles Q1–Q5; none of them had a significant effect on hypertension status. Conversely, increase in age, the Ministry, Department, and Agency (MDA) of employment, frequency of eating in restaurants, and obesity were identified as significant risk factors. After adjusting for confounders (age, body mass index, MDA, and eating habits), a high score (Q5) in “efficient diet pattern” was significantly related to a lower likelihood of hypertension than a low score (Q1). The prevalence of hypertension among the participants was relatively very high. An increase in age and working in educational sector were risk factors associated with hypertension. Therefore, it is recommended that civil servants engage in frequent exercise and undergo regular medical checkups, especially as they get older. These findings highlight the need for large-scale assessment of the impact of variables considered in this study on hypertension, among the civil workforce across Niger state and Nigeria.

Klíčová slova:

Blood pressure – Body Mass Index – Diet – Eating habits – Food – Hypertension – Niger – Obesity


1. Maiyaki M, Garbati M. The burden of non-communicable diseases in Nigeria; in the context of globalization. Ann Afr Med. 2014;13:1–10. doi: 10.4103/1596-3519.126933 24521570

2. Awosan KJ, Ibrahim MTO, Essien E, Yusuf AA, Okolo AC. Dietary pattern, lifestyle, nutrition status and prevalence of hypertension among traders in Sokoto Central market, Sokoto, Nigeria. Int J Nutr Metab. 2014;6:9–17.

3. Young F, Critchley JA, Johnstone LK, Unwin NC. A review of co-morbidity between infectious and chronic disease in Sub Saharan Africa: TB and Diabetes Mellitus, HIV and Metabolic Syndrome, and the impact of globalization. Glob Health. 2009;5:9.

4. Gebreselassie K, Padyab M. Epidemiology of Hypertension Stages in Two Countries In Sub-saharan Africa: Factors Associated with Hypertenson Stages. Int J Hypertens. 2015;1–12.

5. Angaw K, Dadi AF, Alene KA. Prevalence of hypertension among federal ministry civil servants in Addis Ababa, Ethiopia: a call for a workplace-screening program. BMC Cardiovasc Disord [Internet]. 2015;15. Available from:

6. Dalal S, Beunza J, Volmink J, Bajunirwe F, Njelekela M, Mozaffarian D, et al. Non-communicable diseases in sub-Saharan Africa: what we know now. Int J Epidemiol. 2011;40:885–901. doi: 10.1093/ije/dyr050 21527446

7. Akinlua JT, Meakin R, Umar AM, Freemantle N. Current Prevalence Pattern of Hypertension in Nigeria: A Systematic Review. Reboldi G, editor. PLOS ONE. 2015;10:e0140021. doi: 10.1371/journal.pone.0140021 26461923

8. Nigeria | Data [Internet]. [cited 2019 Jul 11].

9. Perkovic V, Huxley R, Wu Y, Prabhakaran D, MacMahon S. The burden of blood pressure-related disease: a neglected priority for global health. Hypertension. 2007;50:991–997. doi: 10.1161/HYPERTENSIONAHA.107.095497 17954719

10. Stanley SF, Nathan DW. Hypertension and Cardiovascular Disease: Contributions of the Framingham Heart Study. Glob Heart. 2013;8:49–57. doi: 10.1016/j.gheart.2012.12.004 25690263

11. Oghagbon E, Okesina A, Biliaminu S. Prevalence of hypertension and associated variables in paid workers in Ilorin, Nigeria. Niger J Clin Pr. 2008;11:342–346.

12. Anderson GH. Effect of age on hypertension: analysis of over 4,800 referred hypertensive patients. Saudi J Kidney Dis Transplant Off Publ Saudi Cent Organ Transplant Saudi Arab. 1999;10:286–297.

13. Capistrant B, Kowal P. Social Epidemiology of Hypertension Stages, Hypertension. 2013;62.

14. Adeoye AM, Adebiyi A, Owolabi MO, Lackland DT, Ogedegbe G, Tayo BO. Women had significantly higher odds of developing hypertension and of being on treatment. J Clin Hypertens Greenwich. 2015;18:685–689. doi: 10.1111/jch.12735 26582436

15. Aki C, Akik C, Ghattas H, Obermeyer CM. Gender disparities in midlife hypertension: a review of the evidence on the Arab region. Womens Midlife Health. 2017;3:1–10. doi: 10.1186/s40695-017-0020-z 30766703

16. Cois A, Ehrlich R. Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach. BMC Public Health [Internet]. 2014;14. Available from:

17. Otitoola O, Oldewage-Therson W, Abdulkadir A. Obesity as a Risk Factor in the Prevalence of Hypertension among Elderly Persons in Sharperville, South Africa (2007–2011). Niigerian J Nutr Sci. 2015;36:27–33.

18. Odenigbo UM, Odenigbo UC, Oguejiofor OC, Adogu POU. Relationship of Waist Circumference, Waist Hip Ratio and Body Mass Index as Predictors of Obesity in Adult Nigerians. Pak J Nutr. 2011;10:15–18.

19. Mahan LK, Raymond JL, Escott-Stump S. Krause’s Food & the Nutrition Care Process. 13th ed. Saunders; 2012. 1248 p.

20. Afam-Anene OC, Okorie JN, Maduforo AN. Obessity, Physical Activity Pattern and Hypercholesterolemia among Civil Servants in Bida Niger State Nigeria. J Dietit Assoc Niger. 2017;8, 13–24.

21. Must A, Spadano J, Coakley E, Field A, Colditz G, Dietz W. The disease Burden Associated with Overweight and Obesity. J Am Med Assoc. 1999;282:1523–9.

22. Mokdad A, Ford E, Bowman B, Dietz W, Vinicor F, Bales V, et al. Prevalence of Obesity, Diabetes, and Obesity-related Health Risk Factors. J Am Med Assoc. 2003;289:76–79.

23. Marchioni DML, de O Latorre M do RD, Eluf-Neto J, Wünsch-Filho V, Fisberg RM. Identification of dietary patterns using factor analysis in an epidemiological study in São Paulo. Sao Paulo Med J Rev Paul Med. 2005;123:124–127.

24. Byers T. The role of epidemiology in developing nutritional recommendations: past, present, and future. Am J Clin Nutr. 1999;69:1304S–1308S. doi: 10.1093/ajcn/69.6.1304S 10359230

25. Reedy J, Wirfalt E, Flood A, Mitrou PN, Krebs-Smith SM, Kipnis V, et al. Comparing 3 Dietary Pattern Methods—Cluster Analysis, Factor Analysis, and Index Analysis—With Colorectal Cancer Risk: The NIH-AARP Diet and Health Study. Am J Epidemiol. 2010;171:479–487. doi: 10.1093/aje/kwp393 20026579

26. Geaney F, Fitzgerald S, Harrington JM, Kelly C, Greiner BA, Perry IJ. Nutrition knowledge, diet quality and hypertension in a working population. Prev Med Rep. 2015;2:105–113. doi: 10.1016/j.pmedr.2014.11.008 26844058

27. Villegas R, Yang G, Gao Y-T, Cai H, Li H, Zheng W, et al. Dietary patterns are associated with lower incidence of type 2 diabetes in middle-aged women: the Shanghai Women’s Health Study. Int J Epidemiol. 2010;39:889–899. doi: 10.1093/ije/dyq008 20231261

28. Shi Z, Hu X, Yuan B, Pan X, Dai Y, Holmboe-Ottesen G. Association between dietary patterns and anaemia in adults from Jiangsu Province in Eastern China. Br J Nutr. 2006;96:906–912. doi: 10.1017/bjn20061785 17092381

29. Cui X, Dai Q, Tseng M, Shu X-O, Gao Y-T, Zheng W. Dietary patterns and breast cancer risk in the shanghai breast cancer study. Cancer Epidemiol Biomark Prev Publ Am Assoc Cancer Res Cosponsored Am Soc Prev Oncol. 2007;16:1443–1448.

30. Wang D, He Y, Li Y, Luan D, Yang X, Zhai F, et al. Dietary patterns and hypertension among Chinese adults: a nationally representative cross-sectional study. BMC Public Health [Internet]. 2011;11. Available from:

31. Lee S-A, Cai H, Yang G, Xu W-H, Zheng W, Li H, et al. Dietary patterns and blood pressure among middle-aged and elderly Chinese men in Shanghai. Br J Nutr. 2010;104:265–275. doi: 10.1017/S0007114510000383 20187997

32. Flood A, Rastogi T, Wirfält E, Mitrou PN, Reedy J, Subar AF, et al. Dietary patterns as identified by factor analysis and colorectal cancer among middle-aged Americans. Am J Clin Nutr. 2008 Jul 1;88(1):176–184. doi: 10.1093/ajcn/88.1.176 18614739

33. Kennedy G, Ballard T, Dop M-C. Guidelines for measuring household and individual dietary diversity. Rome: FAO; 2011.

34. Addo J J, Smeeth L, Leon D. Hypertension in sub-saharan Africa: a systematic review. Hypertension. 2007;50:1012–1018. doi: 10.1161/HYPERTENSIONAHA.107.093336 17954720

35. Brookes L. The Updated WHO/ISH Hypertension Guidelines Medscape Cardiology 2004 [Internet]. [cited 2018 Aug 15].

36. Omron Healthcare. Omron Instruction Manual Full Body Sensor Body Composition Monitor and Scale Model HBF-516. Omron Healthcare, Inc; 2008.

37. Cesari F, Sofi F, Molino Lova R, Vannetti F, Pasquini G, Cecchi F, et al. Aging process, adherence to Mediterranean diet and nutritional status in a large cohort of nonagenarians: Effects on endothelial progenitor cells. Nutr Metab Cardiovasc Dis. 2018 Jan;28(1):84–90. doi: 10.1016/j.numecd.2017.09.003 29167060

38. Bamiwuye SO, Wet ND, Adedini SA. Linkages between autonomy, poverty and contraceptive use in two sub-Saharan African countries. Afr Popul Stud. 2013;27:164–173.

39. Venkaiah K, Brahmam GNV, Vijayaraghavan K. Application of Factor Analysis to Identify Dietary Patterns and Use of Factor Scores to Study Their Relationship with Nutritional Status of Adult Rural Populations. J Health Popul Nutr. 2011 Aug;29(4):327–338. 21957671

40. StataCorp. Stata 14SE. 4905 Lakeway Drive College Station, Texas 77845 USA; 2015.

41. Daniel C, Pedro M. Prevalence of cardiovascular risk factors and socioeconomic level among public- Sector workers in Angola. BMC Public Health. 2013;13.

42. Pessinaba S, Mbaye A, Yabeta G-À-D, Ndao CT, Harouna H, Diagne D, et al. Prevalence and determinants of hypertension and associated cardiovascular risk factors: data from a population-based, cross-sectional survey in Saint Louis, Senegal. Cardiovasc J Afr. 2013;24:180–183. doi: 10.5830/CVJA-2013-030 24217165

43. Gurven M, Blackwell AD, Rodríguez DE, Stieglitz J, Kaplan H. Does Blood Pressure Inevitably Rise With Age? Hypertension [Internet]. 2012;

44. Babatsikou F, Zavitsanou A. Epidemiology of hypertension in the elderly. Health Science Journal. 2010, 4:24–30.

45. Picon RV, Fuchs FD, Moreira LB, Fuchs SC. Prevalence of hypertension among elderly persons in urban Brazil: a systematic review with meta-analysis. Am J Hypertens. 2013;26:541–548. doi: 10.1093/ajh/hps076 23467209

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