Impact of cardiometabolic risk factors on the quality of life of soldiers of Kinshasa

Yıl 2022, , 23 - 29, 30.06.2022

Kiana Ngasa Nıcaıse , Constant Nkıama , Gilbert Kabanda Claude Nsınga Willy Katosıa , Aliocha Nkodıla Betty Mıangındula , Kintoki Vıta

https://doi.org/10.31459/turkjkin.1062785

Öz

The objective of the study was to determine the impact of cardiometabolic risk factors on the quality of life of Kinshasa soldiers, carried out in the period from October 5, 2020, to February 2021 where all rank categories of the army: corporals and soldiers, non-commissioned officers and non-commissioned officers, senior officers, aged 19 to 69, took part in this study. The Cardiovascular Exploration Center of the Military Health Corps served as a pilot point. A convenience sample of 899 soldiers who participated in our survey. The data collection was carried out by a self-questionnaire evaluating the 4 areas of human life: (physical health, mental health, social relations, and environment). The scores of the different dimensions of the questionnaires were calculated. The average of these elements was also calculated for each dimension. Scores for all dimensions were obtained. The “General state of health” dimension, whose score varies from 1 to 5, was also carried out. A validated scale has been determined by military category scores calculated such that 0 corresponds to the worst (poor) quality of life and 100 to the best for the multi-item dimensions. Anthropometric, physiological, energy expenditure, and body composition data were also collected. A total of 899 soldiers responded to the questionnaire, made up of 797 men and 102 women, i.e. 88.7% vs. 11.3%. It is shown that the majority of servicemen had a poor quality of life (87.5%) compared to 12.5%. Among the servicemen with low quality of life, it appears that 33.5% were corporals, 28.8% were servicemen (1st and 2nd class), therefore the category of non-commissioned officers (3rd and 2nd class) sergeants -1 Sergeant Major and Warrant Officers have respectively 19.9% and 17.5%, i.e. p<0.001. The majority of soldiers had a secondary school education (69.4%) and 87.5% had at least one morbid history. The quality of life seems to be altered among the soldiers in Kinshasa, and therefore poorly perceived by the same soldiers interviewed.

Anahtar Kelimeler

Cardiometabolic risk factor, military, quality of life

Kaynakça

• Bauduceau, B., Baigts, F., & Bordier, L. (2005). Etude épidémiologique des facteurs de risque et du syndrome métabolique en milieu militaire (étude EPIMIL). Diabetes Metab, 31, 353-359.
• Bergner, M. (1989). Quality of life, health status, and clinical research. Med Care, 273 (Suppl), S148-156.
• Desjeux, G., Balaire, C., Pommier de Santi, V., Léon, C., Aspar, A.-M., Deparis, X., & Thévenin-Garron, V. (2009). Enquête préliminaire sur les besoins de prévention en santé des militaires d’active. Medécine Armées, 37, 389‑397.
• Feld, R. (1995). Endpoints in cancer clinical trials: is there a need for measuring quality of life? Support Care Cancer, 3(1), 23-27.
• Gotay, C.C., Korn, E.L., McCabe, M.S., Moore, T.D., & Cheson, B.D. (1992). Quality-of-life assessment in cancer treatment protocols: research issues in protocol development. J Natl Cancer Inst, 84(8), 575-579.
• Leidy, N.K., Revicki, D.A., & Geneste, B. (1999). Recommendations for evaluating the validity of quality of life claims for labeling and promotion. Value Health, 2(2), 113-127.
• Monge, J. (2013). Fibrous dysplasia in a 120,000+ year old Neandertal from Krapina, Croatia. PLoS One, 8(6), e 64539.
• Ngasa, K., Kusuayi, G., Gustave, M., Claude, N., Celestin, M., Monıque, N., Nkiama, C., Kalumbe, K., Gilbert, K. & Willy, K.L. (2021). Effects of interval training on the morpho-physiological parameters of hypertensive soldiers. Turk J Kinesiol, 7(1), 17-21.
• OCDE, (2015). Enquête Préliminaire Sur Les Besoins de Prévention en Santé Des Militaires Américains, 37(5).
• Oleson, M. (1990). Content validity of the quality of life index. Appl Nurs Res, 3(3), 126-127.
• Revicki, D.A., Osoba, D., Fairclough, D., Barofsky, I., Berzon, R., Leidy, N.K., & Rothman, M. (2000). Recommendations on health-related quality of life research to support labeling and promotional claims in the United States. Qual Life Res, 9(8), 887-900.
• Skevington, S.M., Lotfy, M., O'Connel, K.A., & WHOQOL Group. (2004). 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. Quality of Life Research, 13(2), 299-310.
• Statuesque annuelle de l’Organisation de coopération et de développement économiques (OCDE), 2015: Enquête préliminaire sur les besoins de prévention en santé des militaires américains, T. 37 - n° 5
• WHO, (1993). Study Protocol for the World Health Organization Project to Develop a Quality of Life Assessment Instrument (WHOQOL). Quality Life Res, 2(2), 153-159.
• WHO, (2017). Stratégie mondiale pour l’alimentation, l’exercice physique et la santé (Internet); Rabermananjara & parsley, (2006); Evaluation of the quality of life in clinical research in cancer logy. Bull Cancer.
• Wood-Dauphinee S. (1999). Assessing quality of life in clinical research: from where have we come and where are we going? J Clin Epidemiol, 1999, 52(4), 355-563.