Evaluation of Risk Factors for Dementia Incidence Based on Previous Questionnaire Results of Specific Health Checkups in Japan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. Classification of Cognitive Ability Level
2.3. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Alladi, S.; Hachinski, V. World dementia: One approach does not fit all. Neurology 2018, 91, 264–270. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization; Alzheimer’s Disease International. Dementia: A Public Health Priority; WHO Press: Geneva, Switzerland, 2012. [Google Scholar]
- Department of Health and Social Care; Foreign & Commonwealth Office; Prime Minister’s Office; The Rt Hon Jeremy Hunt MP. UK to host G8 dementia summit. Clin. Pharm. 2013. [Google Scholar] [CrossRef]
- Ninomiya, T. General Research Report to the Future Estimation of the Elderly Population of the Dementia of a Japanese. Available online: https://mhlw-grants.niph.go.jp/niph/search/NIDD00.do?resrchNum=201405037A (accessed on 12 October 2021).
- Keang, L.T.; Feng, L.; Nyunt, M.S.; Feng, L.; Gao, Q.; Lim, M.L.; Collinson, S.L.; Chong, M.S.; Lim, W.S.; Lee, T.-S.; et al. Metabolic Syndrome and the Risk of Mild Cognitive Impairment and Progression to Dementia. JAMA Neurol. 2016, 73, 456–463. [Google Scholar] [CrossRef] [Green Version]
- Biessels, G.J.; Staekenborg, S.; Brunner, E.; Brayne, C.; Scheltens, P. Risk of dementia in diabetes mellitus: A systematic review. Lancet Neurol. 2006, 5, 64–74. [Google Scholar] [CrossRef]
- Katon, W.; Lin, E.H.B.; Williams, L.H.; Ciechanowski, P.; Heckbert, S.R.; Ludman, E.; Rutter, C.; Crane, P.K.; Oliver, M.; Von Korff, M. Comorbid Depression Is Associated with an Increased Risk of Dementia Diagnosis in Patients with Diabetes: A Prospective Cohort Study. J. Gen. Intern. Med. 2010, 25, 423–429. [Google Scholar] [CrossRef] [Green Version]
- Ma, F.; Wu, T.; Miao, R.; Xiao, Y.Y.; Zhang, W.; Huang, G. Conversion of Mild Cognitive Impairment to Dementia among Subjects with Diabetes: A Population-Based Study of Incidence and Risk Factors with Five Years of Follow-up. J. Alzheimer’s Dis. 2014, 43, 1441–1449. [Google Scholar] [CrossRef] [PubMed]
- Ninomiya, T. Epidemiological Evidence of the Relationship between Diabetes and Dementia. Single Mol. Single Cell Seq. 2019, 1128, 13–25. [Google Scholar] [CrossRef]
- Bello-Chavolla, O.Y.; Antonio-Villa, N.E.; Vargas-Vázquez, A.; Ávila-Funes, J.A.; Aguilar-Salinas, C.A. Pathophysiological Mechanisms Linking Type 2 Diabetes and Dementia: Review of Evidence from Clinical, Translational and Epidemiological Research. Curr. Diabetes Rev. 2019, 15, 456–470. [Google Scholar] [CrossRef] [PubMed]
- Yokomichi, H.; Nagai, A.; Hirata, M.; Kiyohara, Y.; Muto, K.; Ninomiya, T.; Matsuda, K.; Kamatani, Y.; Tamakoshi, A.; Kubo, M.; et al. Serum glucose, cholesterol and blood pressure levels in Japanese type 1 and 2 diabetic patients: BioBank Japan. J. Epidemiol. 2017, 27, S92–S97. [Google Scholar] [CrossRef] [PubMed]
- Albanese, E.; Launer, L.J.; Egger, M.; Prince, M.J.; Giannakopoulos, P.; Wolters, F.J.; Egan, K. Body mass index in midlife and dementia: Systematic review and meta-regression analysis of 589,649 men and women followed in longitudinal studies. Alzheimer’s Dement. Diagn. Assess. Dis. Monit. 2017, 8, 165–178. [Google Scholar] [CrossRef]
- Pedditizi, E.; Peters, R.; Beckett, N. The risk of overweight/obesity in mid-life and late life for the development of dementia: A systematic review and meta-analysis of longitudinal studies. Age Ageing 2016, 45, 14–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stewart, R.; Masaki, K.; Xue, Q.-L.; Peila, R.; Petrovitch, H.; White, L.R.; Launer, L.J. A 32-Year Prospective Study of Change in Body Weight and Incident Dementia. Arch. Neurol. 2005, 62, 55–60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Buchman, A.S.; Schneider, J.A.; Wilson, R.S.; Bienias, J.L.; Bennett, D.A. Body mass index in older persons is associated with Alzheimer disease pathology. Neurology 2006, 67, 1949–1954. [Google Scholar] [CrossRef]
- Johnson, D.K.; Wilkins, C.H.; Morris, J.C. Accelerated Weight Loss May Precede Diagnosis in Alzheimer Disease. Arch. Neurol. 2006, 63, 1312–1317. [Google Scholar] [CrossRef] [PubMed]
- Van der Burg, J.M.; Pijl, H.; Campman, Y.J.; Roos, R.A.; Aziz, N.A. Does midlife obesity really lower dementia risk? Lancet Diabetes Endocrinol. 2015, 3, 499–500. [Google Scholar] [CrossRef]
- Yokomichi, H.; Kondo, K.; Nagamine, Y.; Yamagata, Z.; Kondo, N. Dementia risk by combinations of metabolic diseases and body mass index: Japan Gerontological Evaluation Study Cohort Study. J. Diabetes Investig. 2019, 11, 206–215. [Google Scholar] [CrossRef] [PubMed]
- Tamaki, Y.; Hiratsuka, Y.; Kumakawa, T. Risk Factors for Dementia Incidence Based on Previous Results of the Specific Health Checkups in Japan. Healthcare 2020, 8, 491. [Google Scholar] [CrossRef]
- Norton, S.; Matthews, F.E.; Barnes, D.E.; Yaffe, K.; Brayne, C. Potential for primary prevention of Alzheimer’s disease: An analysis of population-based data. Lancet Neurol. 2014, 13, 788–794. [Google Scholar] [CrossRef] [Green Version]
- Erickson, K.I.; Weinstein, A.M.; Lopez, O.L. Physical activity, brain plasticity, and Alzheimer’s disease. Arch. Med. Res. 2012, 43, 615–621. [Google Scholar] [CrossRef] [Green Version]
- Davenport, M.H.; Hogan, D.B.; Eskes, G.A.; Longman, R.S.; Poulin, M.J. Cerebrovascular reserve: The link betweenfitness and cognitive function? Exerc. Sport Sci. Rev. 2012, 40, 153–158. [Google Scholar] [CrossRef] [PubMed]
- Sink, K.M.; Espeland, M.A.; Castro, C.M.; Church, T.; Cohen, R.; Dodson, J.A.; Guralnik, J.; Hendrie, H.C.; Jennings, J.; Katula, J.; et al. Effect of a 24-month physical activity intervention vs health education on cognitive outcomes in sedentary older adults: The LIFE randomized trial. JAMA 2015, 314, 781–790. [Google Scholar] [CrossRef]
- Young, J.; Angevaren, M.; Rusted, J.; Tabet, N. Aerobic exercise to improve cognitive function in older people without known cognitive impairment. Cochrane Database Syst. Rev. 2015, 4, CD005381. [Google Scholar] [CrossRef] [PubMed]
- Forbes, D.; Forbes, S.C.; Blake, C.M.; Thiessen, E.J.; Forbes, S. Exercise programs for people with dementia. Cochrane Database Syst. Rev. 2015, 4, CD006489. [Google Scholar] [CrossRef] [Green Version]
- Toots, A.; Littbrand, H.; Boström, G.; Hörnsten, C.; Holmberg, H.; Lundin-Olsson, L.; Lindelöf, N.; Nordström, P.; Gustafson, Y.; Rosendahl, E. Effects of Exercise on Cognitive Function in Older People with Dementia: A Randomized Controlled Trial. J. Alzheimer’s Dis. 2017, 60, 323–332. [Google Scholar] [CrossRef] [Green Version]
- Bossers, W.J.; van der Woude, L.H.; Boersma, F.; Hortobagyi, T.; Scherder, E.J.; van Heuvelen, M.J. A 9-week aerobic and strength training program improves cognitive and motor function in patients with dementia: A randomized, controlled trial. Am. J. Geriatr. Psychiatry 2015, 23, 1106–1116. [Google Scholar] [CrossRef] [PubMed]
- Telenius, E.W.; Engedal, K.; Bergland, A. Effect of a high-intensity exercise program on physical function and mental health in nursing home residents with dementia: An assessor blinded randomized controlled trial. PLoS ONE 2015, 10, e0126102. [Google Scholar] [CrossRef] [Green Version]
- Arcoverde, C.; Deslandes, A.; Moraes, H.; Almeida, C.; de Araujo, N.B.; Vasques, P.E.; Silveira, H.; Laks, J. Treadmill training as an augmentation treatment for Alzheimer’s disease: A pilot randomized controlled study. Arq. De Neuro-Psiquiatr. 2014, 72, 190–196. [Google Scholar] [CrossRef] [Green Version]
- Öhman, H.; Savikko, N.; Strandberg, T.E.; Kautiainen, H.; Raivio, M.M.; Laakkonen, M.L.; Tilvis, R.; Pitkälä, K.H. Effects of exercise on cognition: The Finnish Alzheimer disease exercise trial: A randomized, controlled trial. J. Am. Geriatr. Soc. 2016, 64, 731–738. [Google Scholar] [CrossRef]
- Cancela, J.M.; Ayan, C.; Varela, S.; Seijo, M. Effects of a long-term aerobic exercise intervention on institutionalized patients with dementia. J. Sci. Med. Sport 2016, 19, 293–298. [Google Scholar] [CrossRef] [PubMed]
- Kemoun, G.; Thibaud, M.; Roumagne, N.; Carette, P.; Albinet, C.; Toussaint, L.; Paccalin, M.; Dugue, B. Effects of a physical training programme on cognitive function and walking efficiency in elderly persons with dementia. Dement. Geriatr. Cogn. Disord. 2010, 29, 109–114. [Google Scholar] [CrossRef] [PubMed]
- Tamaki, Y.; Okamoto, E.; Hiratsuka, Y.; Kumakawa, T. Influence of Specific Health Guidance on the Consultation Rate of Metabolic-Related Diseases. Adv. Public Health 2019, 2019, 9735127. [Google Scholar] [CrossRef]
- Japanese Ministry of Health, Labour and Welfare. Long-Term Care, Health and Welfare Services for the Elderly. Available online: http://www.mhlw.go.jp/english/policy/care-welfare/care-welfare-elderly/ (accessed on 12 October 2021).
- Japanese Ministry of Health, Labour and Welfare. “Long-Term Care Insurance Business Situation”. Available online: https://www.mhlw.go.jp/topics/kaigo/toukei/joukyou.html (accessed on 12 October 2021).
- Tamaki, Y.; Hiratsuka, Y.; Kumakawa, T.; Miura, H. Relationship between the Necessary Support Level for Oral Hygiene and Performance of Physical, Daily Activity, and Cognitive Functions. Int. J. Dent. 2018, 2018, 1542713. [Google Scholar] [CrossRef] [Green Version]
- Japanese Ministry of Health, Labour and Welfare. Ethical Guidelines for Epidemiological Research. Ministry of Education, Culture, Sports, Science and Technology. Available online: http://www.lifescience.mext.go.jp/files/pdf/n796_01.pdf (accessed on 12 October 2021).
- Japanese Ministry of Health, Labour and Welfare. Guideline for Provision of Database for National Health Insurance Claim and the Specific Medical Checkup and Specific Health Guidance. Available online: http://www.mhlw.go.jp/file/05-Shingikai-12401000-Hokenkyoku-Soumuka/0000064238_3.pdf (accessed on 12 October 2021).
- Japanese Ministry of Health, Labour and Welfare. Security Guidelines for Health Information Systems. Available online: http://www.mhlw.go.jp/file/05-Shingikai-12601000-Seisakutoukatsukan-Sanjikanshitsu_Shakaihoshoutantou/0000166260.pdf (accessed on 12 October 2021).
- Okamoto, E. Cost-Benefit of Health Promotion: Will It Pay Off? Japan’s Venture against Metabolic Syndrome. Asian Perspect. Evid. Health Promot. Educ. 2011, 182–195. [Google Scholar] [CrossRef]
- Japanese Ministry of Health, Labour and Welfare. Estimated Medical Cost Database. Available online: http://www.mhlw.go.jp/bunya/iryouhoken/iryouhoken03/01.html (accessed on 12 October 2021).
- Qizilbash, N.; Gregson, J.; Johnson, M.E.; Pearce, N.; Douglas, I.J.; Wing, K.; Evans, S.J.W.; Pocock, S.J. BMI and risk of dementia in two million people over two decades: A retrospective cohort study. Lancet Diabetes Endocrinol. 2015, 3, 431–436. [Google Scholar] [CrossRef]
- Nam, G.E.; Park, Y.G.; Han, K.; Kim, M.K.; Koh, E.S.; Kim, E.S.; Lee, M.-K.; Kim, B.; Hong, O.-K.; Kwon, H.-S. BMI, Weight Change, and Dementia Risk in Patients With New-Onset Type 2 Diabetes: A Nationwide Cohort Study. Diabetes Care 2019, 42, 1217–1224. [Google Scholar] [CrossRef] [PubMed]
- Kivimäki, M.; Luukkonen, R.; Batty, G.D.; Ferrie, J.E.; Pentti, J.; Nyberg, S.T.; Shipley, M.J.; Alfredsson, L.; Fransson, E.I.; Goldberg, M.; et al. Body mass index and risk of dementia: Analysis of individual-level data from 1.3 million individuals. Alzheimer’s Dement. 2018, 14, 601–609. [Google Scholar] [CrossRef]
- Hirabayashi, N.; Hata, J.; Ohara, T.; Mukai, N.; Nagata, M.; Shibata, M.; Gotoh, S.; Furuta, Y.; Yamashita, F.; Yoshihara, K.; et al. Association Between Diabetes and Hippocampal Atrophy in Elderly Japanese: The Hisayama Study. Diabetes Care 2016, 39, 1543–1549. [Google Scholar] [CrossRef] [Green Version]
- Matsuzaki, T.; Sasaki, K.; Tanizaki, Y.; Hata, J.; Fujimi, K.; Matsui, Y.; Sekita, A.; Suzuki, S.O.; Kanba, S.; Kiyohara, Y.; et al. Insulin resistance is associated with the pathology of Alzheimer disease: The Hisayama Study. Neurology 2010, 75, 764–770. [Google Scholar] [CrossRef]
- Ohara, T.; Doi, Y.; Ninomiya, T.; Hirakawa, Y.; Hata, J.; Iwaki, T.; Kanba, S.; Kiyohara, Y. Glucose tolerance status and risk of dementia in the community: The Hisayama Study. Neurology 2011, 77, 1126–1134. [Google Scholar] [CrossRef] [PubMed]
Cognitive Ability Level in Daily Life | |||||||
---|---|---|---|---|---|---|---|
Can Make on Their Own | Have Some Difficulty | Need Support | Have Little Ability | Total | p-Value | ||
A medicine to lower blood pressure | Yes | 113 | 96 | 68 | 41 | 318 | 0.704 |
35.5% | 30.2% | 21.4% | 12.9% | 100.0% | |||
No | 97 | 80 | 66 | 45 | 288 | ||
33.7% | 27.8% | 22.9% | 15.6% | 100.0% | |||
Insulin injections or a medicine to lower blood glucose | Yes | 27 | 26 | 28 | 13 | 94 | 0.243 |
28.7% | 27.7% | 29.8% | 13.8% | 100.0% | |||
No | 183 | 150 | 106 | 73 | 512 | ||
35.7% | 29.3% | 20.7% | 14.3% | 100.0% | |||
A medicine to lower cholesterol | Yes | 64 | 49 | 43 | 19 | 175 | 0.399 |
36.6% | 28.0% | 24.6% | 10.9% | 100.0% | |||
No | 146 | 127 | 91 | 67 | 431 | ||
33.9% | 29.5% | 21.1% | 15.5% | 100.0% | |||
Stroke history | Yes | 27 | 20 | 13 | 11 | 71 | 0.824 |
38.0% | 28.2% | 18.3% | 15.5% | 100.0% | |||
No | 183 | 156 | 121 | 75 | 535 | ||
34.2% | 29.2% | 22.6% | 14.0% | 100.0% | |||
Heart disease history | Yes | 23 | 22 | 19 | 2 | 66 | 0.037 |
34.8% | 33.3% | 28.8% | 3.0% | 100.0% | |||
No | 187 | 154 | 115 | 84 | 540 | ||
34.6% | 28.5% | 21.3% | 15.6% | 100.0% | |||
Chronic renal failure history | Yes | 0 | 1 | 0 | 0 | 1 | 0.485 |
0.0% | 100.0% | 0.0% | 0.0% | 100.0% | |||
No | 210 | 175 | 134 | 86 | 605 | ||
34.7% | 28.9% | 22.1% | 14.2% | 100.0% | |||
Anemia history | Yes | 38 | 18 | 17 | 6 | 79 | 0.033 |
48.1% | 22.8% | 21.5% | 7.6% | 100.0% | |||
No | 172 | 158 | 117 | 80 | 527 | ||
32.6% | 30.0% | 22.2% | 15.2% | 100.0% | |||
Current regular smoker | Yes | 27 | 17 | 19 | 8 | 71 | 0.521 |
38.0% | 23.9% | 26.8% | 11.3% | 100.0% | |||
No | 18,300.0% | 15,900.0% | 11,500.0% | 7800.0% | 53,500.0% | ||
34.2% | 29.7% | 21.5% | 14.6% | 100.0% | |||
Weight gained more than 10 kg since 20 years old | Yes | 77 | 66 | 38 | 23 | 204 | 0.136 |
37.7% | 32.4% | 18.6% | 11.3% | 100.0% | |||
No | 133 | 110 | 96 | 63 | 402 | ||
33.1% | 27.4% | 23.9% | 15.7% | 100.0% | |||
Exercising for 30 min or more, 2 days or more every week | Yes | 92 | 78 | 59 | 35 | 264 | 0.995 |
34.8% | 29.5% | 22.3% | 13.3% | 100.0% | |||
No | 118 | 98 | 75 | 51 | 342 | ||
34.5% | 28.7% | 21.9% | 14.9% | 100.0% | |||
Walking more than 1 h everyday | Yes | 108 | 92 | 68 | 41 | 309 | 0.916 |
35.0% | 29.8% | 22.0% | 13.3% | 100.0% | |||
No | 102 | 84 | 66 | 45 | 297 | ||
34.3% | 28.3% | 22.2% | 15.2% | 100.0% | |||
Walk faster than people of your age and sex | Yes | 85 | 59 | 57 | 38 | 239 | 0.259 |
35.6% | 24.7% | 23.8% | 15.9% | 100.0% | |||
No | 125 | 117 | 77 | 48 | 367 | ||
34.1% | 31.9% | 21.0% | 13.1% | 100.0% | |||
Weight gain or loss of more than 3kg over the last year | Yes | 45 | 57 | 39 | 21 | 162 | 0.089 |
27.8% | 35.2% | 24.1% | 13.0% | 100.0% | |||
No | 165 | 119 | 95 | 65 | 444 | ||
37.2% | 26.8% | 21.4% | 14.6% | 100.0% | |||
Eating pace | Faster | 18 | 20 | 19 | 9 | 66 | 0.546 |
27.3% | 30.3% | 28.8% | 13.6% | 100.0% | |||
Normal | 152 | 119 | 86 | 64 | 421 | ||
36.1% | 28.3% | 20.4% | 15.2% | 100.0% | |||
Slower | 40 | 37 | 29 | 13 | 119 | ||
33.6% | 31.1% | 24.4% | 10.9% | 100.0% | |||
Evening meal within 2 h before going to bed | Yes | 26 | 24 | 15 | 9 | 74 | 0.870 |
35.1% | 32.4% | 20.3% | 12.2% | 100.0% | |||
No | 184 | 152 | 119 | 77 | 532 | ||
34.6% | 28.6% | 22.4% | 14.5% | 100.0% | |||
Have snack after the evening meal | Yes | 16 | 17 | 14 | 5 | 52 | 0.584 |
30.8% | 32.7% | 26.9% | 9.6% | 100.0% | |||
No | 194 | 159 | 120 | 81 | 554 | ||
35.0% | 28.7% | 21.7% | 14.6% | 100.0% | |||
Skip breakfast 3 days or more per week | Yes | 12 | 10 | 5 | 6 | 33 | 0.752 |
36.4% | 30.3% | 15.2% | 18.2% | 100.0% | |||
No | 198 | 166 | 129 | 80 | 573 | ||
34.6% | 29.0% | 22.5% | 14.0% | 100.0% | |||
Drink alcohol | Rarely (can’t drink) | 33 | 24 | 21 | 15 | 93 | 0.832 |
35.5% | 25.8% | 22.6% | 16.1% | 100.0% | |||
Sometimes | 36 | 33 | 20 | 10 | 99 | ||
36.4% | 33.3% | 20.2% | 10.1% | 100.0% | |||
Everyday | 141 | 119 | 93 | 61 | 414 | ||
34.1% | 28.7% | 22.5% | 14.7% | 100.0% | |||
Feel refreshed after a night’s sleep | Yes | 161 | 124 | 98 | 67 | 450 | 0.448 |
35.8% | 27.6% | 21.8% | 14.9% | 100.0% | |||
No | 49 | 52 | 36 | 19 | 156 | ||
31.4% | 33.3% | 23.1% | 12.2% | 100.0% | |||
Start lifestyle modifications | no plan to improve | 40 | 41 | 23 | 10 | 114 | 0.10 |
35.1% | 36.0% | 20.2% | 8.8% | 100.0% | |||
going to start in the future (within 6 months) | 23 | 17 | 6 | 6 | 52 | ||
44.2% | 32.7% | 11.5% | 11.5% | 100.0% | |||
going to start soon (in a month) | 21 | 19 | 9 | 11 | 60 | ||
35.0% | 31.7% | 15.0% | 18.3% | 100.0% | |||
already started (<6 months ago) | 60 | 47 | 42 | 20 | 169 | ||
35.5% | 27.8% | 24.9% | 11.8% | 100.0% | |||
already started (≥6 months ago) | 66 | 52 | 54 | 39 | 211 | ||
31.3% | 24.6% | 25.6% | 18.5% | 100.0% | |||
Willing to have Health Guidance | Yes | 113 | 87 | 69 | 34 | 303 | 0.163 |
37.3% | 28.7% | 22.8% | 11.2% | 100.0% | |||
No | 97 | 89 | 65 | 52 | 303 | ||
32.0% | 29.4% | 21.5% | 17.2% | 100.0% | |||
Total | 210 | 176 | 134 | 86 | 606 | ||
34.7% | 29.0% | 22.1% | 14.2% | 100.0% |
Item | Crude Odds Ratio | 95% CI | p-Value | Multivariate Adjusted Odds Ratio | 95% CI | p-Value | |||
---|---|---|---|---|---|---|---|---|---|
Lower Limit | Upper Limit | Lower Limit | Upper Limit | ||||||
Age | years | 1.026 | 0.986 | 1.068 | 0.211 | 1.017 | 0.974 | 1.062 | 0.443 |
Sex | (Female/Male) | 0.914 | 0.645 | 1.294 | 0.612 | 0.950 | 0.601 | 1.502 | 0.826 |
A medicine to lower blood pressure | (Yes/No) | 0.832 | 0.597 | 1.159 | 0.276 | 0.832 | 0.573 | 1.207 | 0.332 |
Insulin injections or a medicine to lower blood glucose | (Yes/No) | 1.439 | 0.921 | 2.249 | 0.110 | 1.713 | 1.048 | 2.798 | 0.032 |
A medicine to lower cholesterol | (Yes/No) | 0.948 | 0.657 | 1.368 | 0.775 | 1.155 | 0.769 | 1.737 | 0.487 |
Stroke history | (Yes/No) | 0.883 | 0.524 | 1.489 | 0.641 | 0.951 | 0.531 | 1.704 | 0.865 |
Heart disease history | (Yes/No) | 0.800 | 0.463 | 1.381 | 0.423 | 0.972 | 0.533 | 1.771 | 0.925 |
Chronic renal failure history | (Yes/No) | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | ||
Anemia history | (Yes/No) | 0.688 | 0.410 | 1.153 | 0.156 | 0.653 | 0.377 | 1.133 | 0.130 |
Current regular smoker | (Yes/No) | 1.087 | 0.653 | 1.812 | 0.748 | 0.995 | 0.566 | 1.749 | 0.987 |
Weight gained more than 10 kg since 20 years old | (Yes/No) | 0.652 | 0.455 | 0.935 | 0.020 | 0.623 | 0.415 | 0.935 | 0.022 |
Exercising for 30 min or more, 2 days or more every week | (Yes/No) | 0.948 | 0.679 | 1.324 | 0.754 | 0.893 | 0.604 | 1.320 | 0.570 |
Walking more than 1 h everyday | (Yes/No) | 0.913 | 0.656 | 1.272 | 0.591 | 0.867 | 0.587 | 1.282 | 0.475 |
Walk faster than people of your age and sex | (Yes/No) | 1.277 | 0.912 | 1.789 | 0.155 | 1.418 | 0.970 | 2.073 | 0.072 |
Weight gain or loss of more than 3kg over the last year | 1.044 | 0.719 | 1.516 | 0.821 | 1.294 | 0.854 | 1.962 | 0.224 | |
Eating pace Normal | Reference Group | ||||||||
Faster | 1.015 | 0.663 | 1.553 | 0.946 | 0.874 | 0.549 | 1.394 | 0.573 | |
Slower | 1.351 | 0.730 | 2.502 | 0.339 | 1.464 | 0.754 | 2.842 | 0.260 | |
Evening meal within 2 h before going to bed | (Yes/No) | 0.823 | 0.490 | 1.381 | 0.460 | 0.785 | 0.440 | 1.400 | 0.412 |
Have snack after the evening meal | (Yes/No) | 1.011 | 0.560 | 1.825 | 0.971 | 1.215 | 0.640 | 2.305 | 0.552 |
Skip breakfast 3 days or more per week | (Yes/No) | 1.011 | 0.560 | 1.825 | 0.971 | 0.862 | 0.384 | 1.932 | 0.718 |
Drink alcohol Rarely (can’t drink) | Reference Group | ||||||||
Sometimes | 0.734 | 0.458 | 1.178 | 0.200 | 0.653 | 0.391 | 1.092 | 0.104 | |
Everyday | 1.066 | 0.672 | 1.693 | 0.786 | 1.136 | 0.634 | 2.036 | 0.667 | |
Feel refreshed after a night’s sleep | (Yes/No) | 1.063 | 0.727 | 1.555 | 0.752 | 1.091 | 0.722 | 1.650 | 0.679 |
Start lifestyle modifications | |||||||||
no plan to improve | Reference Group | ||||||||
going to start in the future (within 6 months) | 0.735 | 0.486 | 1.113 | 0.146 | 0.702 | 0.436 | 1.130 | 0.145 | |
going to start soon (in a month) | 0.634 | 0.348 | 1.158 | 0.138 | 0.578 | 0.299 | 1.117 | 0.103 | |
already started (<6 months ago) | 0.381 | 0.189 | 0.767 | 0.007 | 0.335 | 0.157 | 0.714 | 0.005 | |
already started (≥6 months ago) | 0.517 | 0.317 | 0.842 | 0.008 | 0.473 | 0.274 | 0.816 | 0.007 | |
Willing to have Health Guidance | (Yes/No) | 0.819 | 0.588 | 1.141 | 0.237 | 0.969 | 0.662 | 1.419 | 0.873 |
Outpatient Medical Expenditures (2008) | 1.000 | 1.000 | 1.000 | 0.688 | 1.000 | 1.000 | 1.000 | 0.456 | |
_cons | 0.336 | 0.508 |
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Tamaki, Y.; Hiratsuka, Y.; Kumakawa, T. Evaluation of Risk Factors for Dementia Incidence Based on Previous Questionnaire Results of Specific Health Checkups in Japan. J. Ageing Longev. 2021, 1, 48-59. https://doi.org/10.3390/jal1010006
Tamaki Y, Hiratsuka Y, Kumakawa T. Evaluation of Risk Factors for Dementia Incidence Based on Previous Questionnaire Results of Specific Health Checkups in Japan. Journal of Ageing and Longevity. 2021; 1(1):48-59. https://doi.org/10.3390/jal1010006
Chicago/Turabian StyleTamaki, Yoh, Yoshimune Hiratsuka, and Toshiro Kumakawa. 2021. "Evaluation of Risk Factors for Dementia Incidence Based on Previous Questionnaire Results of Specific Health Checkups in Japan" Journal of Ageing and Longevity 1, no. 1: 48-59. https://doi.org/10.3390/jal1010006
APA StyleTamaki, Y., Hiratsuka, Y., & Kumakawa, T. (2021). Evaluation of Risk Factors for Dementia Incidence Based on Previous Questionnaire Results of Specific Health Checkups in Japan. Journal of Ageing and Longevity, 1(1), 48-59. https://doi.org/10.3390/jal1010006