Prevalence of and Factors Associated with Cardiometabolic Risks and Lung Function Impairment among Middle-Aged Women in Rural Taiwan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Design, Sample, and Setting
2.2. Procedure and Ethical Considerations
2.3. Measurements
- Demographic characteristics: These included age, educational level (years), working status (have or have no job), living arrangement (live alone or with someone else), smoking habit (current or former smoker), and marital status.
- Health-related behaviors: Four adequate nutrition intake and engagement of regular exercise were measured and recommended by the literatures [4,17]: “Do you have at least three portions of vegetables per day? Do you have two portions of fruit per day? Do you have at least 1500 mL of water per day? Do you have engaged in regular exercise at least three times per week and more than 30 min each time?”
- Lung function status: This was diagnosed by a physician in the collaborated hospital. The automated flow-sensing spirometer was used and performed by a certified respiratory therapist (RT) in the community activity center. All participants were asked to stand and use a dry rolling-seal spirometer calibrated using one or three liters of precision syringe daily. According to the international standard [22,23], the normal lung function was defined as FEV1/FVC ≥ 70% and FVC ≥ 80%. Restrictive lung impairment was defined as an FVC < 80% of the predicted value and an FEV1/FVC > 70%. Obstructive lung impairment was defined as an FEV1/FVC ratio < 70% and FVC > 80% of the predicted value.
- Cardiometabolic risk factors and metabolic syndrome: Based on the national standard [4], five abnormal physiological biomarkers were measured: (1) Waist circumference > 80 cm; (b) systolic/diastolic blood pressure ˃ 130/85 mmHg; (c) HDL-C ˂ 50 mg/dL (1.29 mmol/L); (d) FBG level ˃ 100 mg/dL (5.6 mmol/L); and (e) triglyceride level ˃ 150 mg/dL (1.7 mmol/L). Three or more of these risk factors were defined as metabolic syndrome (MetS) [4].
2.4. Data Analysis
3. Results
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Shinan-Altman, S.; Werner, P. Subjective Age and Its Correlates among Middle-Aged and Older Adults. Int. J. Aging Hum. Dev. 2019, 88, 3–21. [Google Scholar] [CrossRef] [PubMed]
- Dolberg, P.; Ayalon, L. Subjective Meanings and Identification with Middle Age. Int. J. Aging Hum. Dev. 2018, 87, 52–76. [Google Scholar] [CrossRef] [PubMed]
- Wakabayashi, I. Relationship between age and cardiometabolic index in Japanese men and women. Obes. Res. Clin. Pr. 2018, 12, 372–377. [Google Scholar] [CrossRef] [PubMed]
- Health Promotion Administration, HPA. Metabolic Syndrome. Available online: https://www.hpa.gov.tw/Pages/List.aspx?nodeid=359 (accessed on 10 October 2020).
- Guillaume, D.M.; Crawford, S.L.; Quigley, P. Characteristics of the middle-age adult inpatient fall. Appl. Nurs. Res. 2016, 31, 65–71. [Google Scholar] [CrossRef]
- Mouodi, S.; Hosseini, S.R.; Ghadimi, R.; Cumming, R.G.; Bijani, A.; Mouodi, M.; Pasha, Y.Z. Lifestyle Interventions to Promote Healthy Nutrition and Physical Activity in MiddleAge (40–60 Years) Adults: A Randomized Controlled Trial in the North of Iran. J. Res. Heal. Sci. 2019, 19, e00434. [Google Scholar]
- Howden, E.J.; Sarma, S.; Lawley, J.S.; Opondo, M.; Cornwell, W.; Stoller, D.; Levine, B.D. Reversing the cardiac effects of sedentary aging in middle age-a randomized controlled trial: Implications for heart failure prevention. Circulation 2018, 137, 1549–1560. [Google Scholar] [CrossRef]
- Pandey, A.; Darden, D.; Berry, J.D. Low Fitness in Midlife: A Novel Therapeutic Target for Heart Failure with Preserved Ejection Fraction Prevention. Prog. Cardiovasc. Dis. 2015, 58, 87–93. [Google Scholar] [CrossRef] [PubMed]
- Rantanen, T. Midlife Fitness Predicts Less Burden of Chronic Disease in Later Life. Clin. J. Sport Med. 2013, 23, 499–500. [Google Scholar] [CrossRef] [PubMed]
- Chatterjee, A.; Harris, S.B.; Leiter, L.A.; Fitchett, D.H.; Teoh, H.; Bhattacharyya, O.K. Managing cardiometabolic risk in primary care. Can. Fam. Physician 2012, 58, 389–393. [Google Scholar]
- Saydah, S.; Bullard, K.M.; Cheng, Y.; Ali, M.K.; Gregg, E.W.; Geiss, L.; Imperatore, G. Trends in cardiovascular disease risk factors by obesity level in adults in the United States, NHANES 1999–2010. Obesity 2014, 22, 1888–1895. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization, WHO. Noncommunicable Diseases and Their Risk Factors. Available online: https://www.who.int/ncds/introduction/en/ (accessed on 30 August 2020).
- Kim, H.Y.; Sohn, T.S.; Seok, H.; Yeo, C.D.; Kim, Y.S.; Song, J.Y.; Lee, Y.B.; Lee, N.-H.; Lee, J.; Lee, T.-K.; et al. Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey. Korean J. Intern. Med. 2017, 32, 682–689. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sonoda, N.; Morimoto, A.; Tatsumi, Y.; Asayama, K.; Ohkubo, T.; Izawa, S.; Ohno, Y. The association between glycemic control and lung function impairment in individuals with diabetes: The Saku study. Diabetol. Int. 2019, 10, 213–218. [Google Scholar] [CrossRef]
- Health Promotion Administration, HPA. Statistics of Health Promotion -2018, Annual Report of Health Promotion. Available online: https://www.hpa.gov.tw/Home/Index.aspx (accessed on 10 October 2020).
- Lim, W.H.; Wong, G.; Lewis, J.R.; Lok, C.E.; Polkinghorne, K.R.; Hodgson, J.; Lim, E.M.; Prince, R.L. Total volume and composition of fluid intake and mortality in older women: A cohort study. BMJ Open 2017, 7, e011720. [Google Scholar] [CrossRef] [Green Version]
- Coke, L.A.; Himmelfarb, C.D. Guideline on the Primary Prevention of Cardiovascular Disease. J. Cardiovasc. Nurs. 2019, 34, 285–288. [Google Scholar] [CrossRef]
- Vos, T.; Allen, C.; Arora, M.; Barber, R.M.; Bhutta, Z.A.; Brown, A.; Chen, A.Z. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: A systematic analysis for the Global burden of disease study. Lancet 2015, 388, 1545–1602. [Google Scholar] [CrossRef] [Green Version]
- Hosokawa, R.; Ojima, T.; Myojin, T.; Aida, J.; Kondo, K.; Kondo, N. Associations between Healthcare Resources and Healthy Life Expectancy: A Descriptive Study across Secondary Medical Areas in Japan. Int. J. Environ. Res. Public Heal. 2020, 17, 6301. [Google Scholar] [CrossRef] [PubMed]
- Bachmann, J.M.; Defina, L.F.; Franzini, L.; Gao, A.; Leonard, D.S.; Cooper, K.H.; Berry, J.D.; Willis, B.L. Cardiorespiratory Fitness in Middle Age and Health Care Costs in Later Life. J. Am. Coll. Cardiol. 2015, 66, 1876–1885. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lennox, K.; Miller, R.K.; Martin, F.H. Habitual exercise affects inhibitory processing in young and middle age men and women. Int. J. Psychophysiol. 2019, 146, 73–84. [Google Scholar] [CrossRef] [PubMed]
- Gao, C.; Zhang, X.; Wang, D.; Wang, Z.; Li, J.; Li, Z. Reference values for lung function screening in 10- to 81-year-old, healthy, never-smoking residents of Southeast China. Medicine 2018, 97, e11904. [Google Scholar] [CrossRef]
- Thomas, E.T.; Guppy, M.; Straus, S.E.; Bell, K.J.L.; Glasziou, P. Rate of normal lung function decline in ageing adults: A systematic review of prospective cohort studies. BMJ Open 2019, 9, e028150. [Google Scholar] [CrossRef]
- Wen, C.P.; Levy, D.T.; Cheng, T.Y.; Hsu, C.C.; Tsai, S.P. Smoking behavior in Taiwan, 2001. Tob. Control 2005, 14 (Suppl. S1), i51–i55. [Google Scholar] [CrossRef] [Green Version]
- Gutiérrez-Carrasquilla, L.; Sánchez, E.; Hernández, M.; Polanco, D.; Salas-Salvadó, J.; Betriu, À.; Gaeta, A.M.; Carmona, P.; Purroy, F.; Pamplona, R.; et al. Effects of Mediterranean Diet and Physical Activity on Pulmonary Function: A Cross-Sectional Analysis in the ILERVAS Project. Nutrients 2019, 11, 329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Song, S.H.; Kim, J.H.; Lee, J.H.; Yun, Y.-M.; Choi, D.-H.; Kim, H.Y. Elevated blood viscosity is associated with cerebral small vessel disease in patients with acute ischemic stroke. BMC Neurol. 2017, 17, 20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Variable | Number (%) or Mean ± SD |
---|---|
Demographics | |
Age, years | 55.9 ± 7.1 |
Education level (years) | 8.7 ± 4.5 |
Working status (yes) | 219 (49.9) |
Live alone (yes) | 28 (6.4) |
Smoking (current or former) | 16 (3.6) |
Marital status (married) | 366 (83.4) |
Health-related behaviors | |
Adequate vegetable ≥ 3 portions per day (≥1 and half bowel) | 317 (72.2) |
Adequate fruit = 2 portions per day (=1 bowel) | 281 (64.0) |
Adequate water ≥ 1500 cc per day | 266 (60.6) |
Adequate regular exercise (3 times/week; 30 min/per time) | 134 (30.5) |
Lung function status | |
Normal | 325 (74.0) |
Lung function impairment 1 | 114 (26.0) |
Cardiometabolic risk factor | |
WC 2 | 244 (55.6) |
High blood pressure 3 | 240 (54.7) |
High-density lipoprotein 4 | 157 (35.8) |
High fasting blood glucose 5 | 296 (67.4) |
High triglyceride 6 | 143 (32.6) |
Metabolic syndrome 7 | 207 (47.2) |
Mean number of cardiometabolic risks | 2.5 ± 1.4 |
Variables | Lung Function Status | p | |
---|---|---|---|
Impairment (n = 114) | Normal (n = 325) | ||
Waist circumference (cm) 1 | 0.326 | ||
WC > 80 | 68 (59.6) | 176 (54.2) | |
WC ≤ 80 | 46 (40.4) | 149 (45.8) | |
Blood pressure (mmHg) 2 | 0.038 | ||
SBP/DBP > 130/85 | 72 (63.2) | 168 (51.7) | |
SBP/DBP ≤ 130/85 | 42 (36.8) | 157 (48.3) | |
High-density lipoprotein 3 | 0.013 | ||
HDL-C < 50 mg/dL (1.29 mmol/L) | 52 (45.6) | 105 (32.3) | |
HDL-C ≥ 50 mg/dL (1.29 mmol/L) | 62 (54.4) | 220 (67.7) | |
Fasting blood glucose 4 | 0.001 | ||
FBG > 100 mg/dL (5.6 mmol/L) | 91 (79.8) | 205 (63.1) | |
FBG ≤ 100 mg/dL (5.6 mmol/L) | 23 (20.2) | 120 (36.9) | |
Triglyceride 5 | 0.001 | ||
TG > 150 mg/dL (1.7 mmol/L) | 52 (45.6) | 91 (28.0) | |
TG ≤ 150 mg/dL (1.7 mmol/L) | 62 (54.4) | 234 (72.0) | |
Metabolic syndrome (MetS) 6 | <0.001 | ||
MetS ≥ 3 | 71 (62.3) | 136 (41.8) | |
MetS < 3 | 43 (37.7) | 189 (58.2) |
Predictor | Univariate Analysis | Multivariate Analysis | ||
---|---|---|---|---|
OR (95% CI) | p | OR (95% CI) | p | |
Age, years | 1.03 (0.99–1.05) | 0.065 | 1.02 (0.99–1.05) | 0.234 |
Education level, years | 0.97 (0.93–1.01) | 0.108 | 1.00 (0.95–1.06) | 0.864 |
Working status (yes) | 0.77 (0.53–1.12) | 0.165 | 0.77 (0.51–1.14) | 0.192 |
Live alone (yes) | 0.60 (0.27–1.34) | 0.214 | 0.50 (0.20–1.25) | 0.138 |
Marital status (married) | 0.74 (0.45–1.22) | 0.241 | 0.77 (0.43–1.38) | 0.383 |
Vegetable ≥ 3 portions | 1.07 (0.71–1.63) | 0.745 | 1.43 (0.72–2.82) | 0.307 |
Fruit ≥ 2 portions | 0.84 (0.57–1.24) | 0.370 | 0.73 (0.38–1.39) | 0.337 |
Water ≥ 1500cc | 0.78 (0.53–1.15) | 0.209 | 0.95 (0.63–1.44) | 0.816 |
Regular exercise | 0.54 (0.35–0.81) | 0.003 | 0.56 (0.36–0.87) | 0.010 |
Lung function impairment | 2.29 (1.48–3.56) | <0.001 | 2.12 (1.34–3.35) | 0.001 |
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Lin, M.-S.; Yeh, M.-H.; Chen, M.-Y. Prevalence of and Factors Associated with Cardiometabolic Risks and Lung Function Impairment among Middle-Aged Women in Rural Taiwan. Int. J. Environ. Res. Public Health 2020, 17, 8067. https://doi.org/10.3390/ijerph17218067
Lin M-S, Yeh M-H, Chen M-Y. Prevalence of and Factors Associated with Cardiometabolic Risks and Lung Function Impairment among Middle-Aged Women in Rural Taiwan. International Journal of Environmental Research and Public Health. 2020; 17(21):8067. https://doi.org/10.3390/ijerph17218067
Chicago/Turabian StyleLin, Ming-Shyan, Mei-Hua Yeh, and Mei-Yen Chen. 2020. "Prevalence of and Factors Associated with Cardiometabolic Risks and Lung Function Impairment among Middle-Aged Women in Rural Taiwan" International Journal of Environmental Research and Public Health 17, no. 21: 8067. https://doi.org/10.3390/ijerph17218067
APA StyleLin, M. -S., Yeh, M. -H., & Chen, M. -Y. (2020). Prevalence of and Factors Associated with Cardiometabolic Risks and Lung Function Impairment among Middle-Aged Women in Rural Taiwan. International Journal of Environmental Research and Public Health, 17(21), 8067. https://doi.org/10.3390/ijerph17218067