#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

The risk, perceived and actual, of developing type 2 diabetes mellitus for mothers of preschool children in urban China


Autoři: Jia Guo aff001;  Yujia Tang aff001;  Honghui Zhang aff002;  Lisa Lommel aff003;  Jyu-Lin Chen aff003
Působiště autorů: Xiangya School of Nursing, Central South University, Changsha, Hunan, PR China aff001;  Department of Hepatobiliary Surgery, Hunan General Hospital, Changsha, Hunan, PR China aff002;  School of Nursing, University of California, San Francisco, CA, United States of America aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0222839

Souhrn

Background

The perceived risk of developing type 2 diabetes mellitus (T2DM) can motivate individuals to adopt preventive health behaviors. Compared with fathers, mothers of young children often experience unique risk factors for developing T2DM: pregnancy-related weight gain, lifestyle changes related to child care, and the increased incidence of gestational diabetes mellitus. Understanding how actual risk factors affect the perceived risk of developing T2DM can foster effective diabetes prevention interventions for this population. The aims of this study were to describe the risk, perceived and actual, of developing T2DM and to explore the influencing factors of perceived risk for Chinese mothers of preschool children in China.

Methods

A multisite, cross-sectional survey was conducted and included 176 mothers (mean age of 31.19 years old) of preschool children (aged 3–7 years old) from four preschools in Changsha, the capital city of Hunan Province, China. The overall perceived risk of developing T2DM was measured by one item “Your own personal health risk is at almost no risk, slight risk, moderate risk or high risk from diabetes” from the Risk Perception Survey for Developing Diabetes (RPS-DD). PRS-DD and the Chinese version of the Canadian Diabetes Risk Assessment Questionnaire (CHINARISK) were used to assess perceived risk related worry, personal control, optimistic bias, and diabetes risk knowledge and actual risk of T2DM. Mothers also reported their height, weight, and waist circumference followed by the NIH protocol. Pearson correlation and stepwise multivariate linear regression were used to explore how the actual risk factors affected the perceived risk of developing diabetes (RPS-DD)).

Results

Nearly 90% of mothers perceived almost no/slight risk for developing diabetes. Nearly half of the mothers had parents or siblings with diabetes. Roughly 70% of the mothers did not eat five servings of fruits and vegetables per day, and more than 50% did not exercise at least 30 minutes a day. In the five stepwise multivariate linear regression models, young mothers (95% CI .400–1.311) and those with a family history of diabetes (95% CI -0.74- .000) were founded a higher overall perceived risk. Mothers who reported more sedentary time (95% CI -0.029- -0.008) and less physical activity had less personal control (95% CI -0.354- -0.046). Mothers with more sedentary time had more worries about developing T2DM(95% CI 0.008–0.035) . Mothers who were older (95% CI -0.440–0.055) or had more physical activities (95% CI 0.003–0.048) had more optimistic bias of not developing T2DM. Mothers who had a higher education level (95% CI .354–1.422) and a family history of diabetes (95% CI .029–2.231) had more diabetes risk knowledge of developing T2DM.

Conclusion

This study found that Chinese mothers of preschool children in urban areas reported low perceived risk of developing T2DM, although they have actual risk factors. These women did not associate anthropometric, health history, or health behavior factors with the risk of developing T2DM. Anthropometrics and risk factors associated with behavioral risk factors may be the focus of diabetes prevention programs.

Klíčová slova:

Physical activity – Mothers – Behavioral and social aspects of health – Medical risk factors – Chinese people


Zdroje

1. International Diabetes Federation IDF Diabetes Atlas 8th Edition Available online: https://www.idf.org (accessed on Jun 10, 2018).

2. Bragg F.; Holmes M.V.; Iona A.; Guo Y.; Du H.; Chen Y.; et al. Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China. JAMA 2017, 317, 280–289. doi: 10.1001/jama.2016.19720 28114552

3. Annis A.M.; Caulder M.S.; Cook M.L.; Duquette D. Family history, diabetes, and other demographic and risk factors among participants of the National Health and Nutrition Examination Survey 1999–2002. Prev Chronic Dis 2005, 2, A19.

4. West Virginia Health Statistics Center Diabetes and Health Equity in West Virginia: A Review, HSC Statistical Brief No. 28. West Virginia Department of Health and Human Resources Available online: http://www.wvdhhr.org/bph/hsc/pubs/briefs/028/brief28_20121220_health_eq_stat.pdf (accessed on Jul 9, 2018).

5. Clinic, M. Diabetes: Risk factors Available online: https://www.mayoclinic.org/diseases-conditions/diabetes/symptoms-causes/syc-20371444 (accessed on Jul 9, 2018).

6. Yessoufou A.; Moutairou K. Maternal Diabetes in Pregnancy: Early and Long-Term Outcomes on the Offspring and the Concept of “Metabolic Memory.” Exp Diabetes Res 2011, 2011.

7. Weinstein N.D. Perceived probability, perceived severity, and health-protective behavior. Health psychology: official journal of the Division of Health Psychology, American Psychological Association 2000, 19, 65–74.

8. Brewer N.T.; Weinstein N.D.; Cuite C.L.; Herrington J.E. Risk perceptions and their relation to risk behavior. Annals of behavioral medicine: a publication of the Society of Behavioral Medicine 2004, 27, 125–30.

9. Hampson S.E.; Andrews J.A.; Barckley M.; Lichtenstein E.; Lee M.E. Personality traits, perceived risk, and risk-reduction behaviors: a further study of smoking and radon. Health Psychol 2006, 25, 530–536. doi: 10.1037/0278-6133.25.4.530 16846328

10. Dickerson J.B.; Smith M.L.; Sosa E.; McKyer E.L.; Ory M.G. Perceived risk of developing diabetes in early adulthood: beliefs about inherited and behavioral risk factors across the life course. Journal of health psychology 2012, 17, 285–96. doi: 10.1177/1359105311412840 21708872

11. Kim C.; McEwen L.N.; Piette J.D.; Goewey J.; Ferrara A.; Walker E.A. Risk perception for diabetes among women with histories of gestational diabetes mellitus. Diabetes Care 2007, 30, 2281–6. doi: 10.2337/dc07-0618 17575087

12. Kemple A.M.; Zlot A.I.; Leman R.F. Perceived likelihood of developing diabetes among high-risk Oregonians. Preventing chronic disease 2005, 2 Spec no, A07.

13. Mukerji G.; Kainth S.; Pendrith C.; Lowe J.; Feig D.S.; Banerjee A.T.; et al. Predictors of low diabetes risk perception in a multi-ethnic cohort of women with gestational diabetes mellitus. Diabet. Med. 2016, 33, 1437–1444. doi: 10.1111/dme.13009 26499170

14. Morrison M.K.; Lowe J.M.; Collins C.E. Perceived risk of Type 2 diabetes in Australian women with a recent history of gestational diabetes mellitus. Diabetic medicine: a journal of the British Diabetic Association 2010, 27, 882–6.

15. Ding G.; Tian Y.; Yu J.; Vinturache A. Cultural postpartum practices of “doing the month” in China. Perspect Public Health 2018, 138, 147–149. doi: 10.1177/1757913918763285 29635986

16. Bao W.; Ma A.; Mao L.; Lai J.; Xiao M.; Sun G.; et al. Diet and lifestyle interventions in postpartum women in China: study design and rationale of a multicenter randomized controlled trial. BMC Public Health 2010, 10, 103. doi: 10.1186/1471-2458-10-103 20187965

17. Leung S.K.S.; Arthur D.; Martinson I.M. Perceived stress and support of the Chinese postpartum ritual “doing the month.” Health Care Women Int 2005, 26, 212–224. doi: 10.1080/07399330590917771 15804694

18. Mailey E.L.; Huberty J.; Dinkel D.; McAuley E. Physical activity barriers and facilitators among working mothers and fathers. BMC Public Health 2014, 14, 657. doi: 10.1186/1471-2458-14-657 24974148

19. Chen J.L.; Esquivel J.H.; Guo J.; Chesla C.A.; Tang S. Risk factors for obesity in preschool-aged children in China. 2017.

20. Guo J.; Shi Z.; Chen J.L.; Dixon J.K.; Wiley J.; Parry M. Translation and validation of the Canadian diabetes risk assessment questionnaire in China. Public health nursing (Boston, Mass.) 2018, 35, 18–28.

21. Golan M.; Weizman A. Reliability and validity of the Family Eating and Activity Habits Questionnaire. Eur J Clin Nutr 1998, 52, 771–777. 9805227

22. Walker E.A.; Mertz C.K.; Kalten M.R.; Flynn J. Risk perception for developing diabetes: comparative risk judgments of physicians. Diabetes Care 2003, 26, 2543–8. doi: 10.2337/diacare.26.9.2543 12941716

23. Faul F.; Erdfelder E.; Lang A.-G.; Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007, 39, 175–191. 17695343

24. Cohen J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ Lawrence Erlbaum Associates, Publishers. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=2041144 (accessed on Jun 27, 2019).

25. Li Y.; Li L.; Nie X.; Sun S.; Huang X.; Shi M.; et al. A study on risk factors and perceptions of diabetes among urban and suburban residents from six provinces in China. Chinese journal of preventive medicine 2014, 48, 555–60. 25312560

26. Joiner K.L.; Sternberg R.M.; Kennedy C.M.; Fukuoka Y.; Chen J.L.; Janson S.L. Perception of Risk for Developing Diabetes Among Foreign-Born Spanish-Speaking US Latinos. The Diabetes educator 2016, 42, 418–28. doi: 10.1177/0145721716646204 27150605

27. Pinelli N.R.; Berlie H.D.; Slaughter R.L.; Jaber L.A. Risk perception for developing diabetes among pharmacists. The Annals of pharmacotherapy 2009, 43, 1050–6. doi: 10.1345/aph.1L692 19435966

28. He Y.; Pan A.; Wang Y.; Yang Y.; Xu J.; Zhang Y.; et al. Prevalence of overweight and obesity in 15.8 million men aged 15–49 years in rural China from 2010 to 2014. Sci Rep 2017, 7, 5012. doi: 10.1038/s41598-017-04135-4 28694524

29. Al Shafaee M.A.; Al-Shukaili S.; Rizvi S.G.; Al Farsi Y.; Khan M.A.; Ganguly S.S.; et al. Knowledge and perceptions of diabetes in a semi-urban Omani population. BMC Public Health 2008, 8, 249. doi: 10.1186/1471-2458-8-249 18644163

30. Guess N.D.; Caengprasath N.; Dornhorst A.; Frost G.S. Adherence to NICE guidelines on diabetes prevention in the UK: Effect on patient knowledge and perceived risk. Prim Care Diabetes 2015, 9, 407–411. doi: 10.1016/j.pcd.2015.04.005 25979539

31. Chopra I.; Chopra A. Risk perception for diabetes in Appalachian women. Women Health 2017, 57, 534–550. doi: 10.1080/03630242.2016.1176100 27067131

32. Doran F. Gestational Diabetes Mellitus: Perspectives on Lifestyle Changes during Pregnancy and Post-partum, Physical Activity and the Prevention of Future Type 2 Diabetes. Aust. J. Prim. Health 2008, 14, 85–92.

33. Carter P.; Gray L.J.; Talbot D.; Morris D.H.; Khunti K.; Davies M.J. Fruit and vegetable intake and the association with glucose parameters: a cross-sectional analysis of the Let’s Prevent Diabetes Study. Eur J Clin Nutr 2013, 67, 12–17. doi: 10.1038/ejcn.2012.174 23299789

34. Willems J.I.; Otto S.J.; Klijs B.; de Koning H.J. Screening for type 2 diabetes in a high-risk population: effects of a negative screening test after 4 years follow-up. Ann Behav Med 2014, 47, 102–110. doi: 10.1007/s12160-013-9525-3 23818042

35. Adriaanse M.C.; Twisk J.W.; Dekker J.M.; Spijkerman A.M.; Nijpels G.; Heine R.J.; et al. Perceptions of risk in adults with a low or high risk profile of developing type 2 diabetes; a cross-sectional population-based study. Patient Education & Counseling 2008, 73, 307.

36. Harwell T.S.; Dettori N.; Flook B.N.; Priest L.; Williamson D.F.; Helgerson S.D.; et al. Preventing type 2 diabetes: perceptions about risk and prevention in a population-based sample of adults > or = 45 years of age. Diabetes Care 2001, 24, 2007–8. doi: 10.2337/diacare.24.11.2007 11679480

37. Zera C.A.; Nicklas J.M.; Levkoff S.E.; Seely E.W. Diabetes risk perception in women with recent gestational diabetes: delivery to the postpartum visit. The journal of maternal-fetal & neonatal medicine: the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet 2013, 26, 691–6.

38. Gilson N.D.; Burton N.W.; van Uffelen J.G.Z.; Brown W.J. Occupational sitting time: employees’ perceptions of health risks and intervention strategies. Health Promot J Austr 2011, 22, 38–43. 21717836

39. Watkinson C.; van Sluijs E.M.; Sutton S.; Hardeman W.; Corder K.; Griffin S.J. Overestimation of physical activity level is associated with lower BMI: a cross-sectional analysis. Int J Behav Nutr Phys Act 2010, 7, 68. doi: 10.1186/1479-5868-7-68 20854659


Článok vyšiel v časopise

PLOS One


2019 Číslo 9
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#