Literature DB >> 28915800

Association of body mass index with amnestic and non-amnestic mild cognitive impairment risk in elderly.

Feng Wang1, Minghui Zhao1, Zhaoli Han1, Dai Li1, Shishuang Zhang1, Yongqiang Zhang1, Xiaodong Kong1, Ning Sun1, Qiang Zhang1, Ping Lei2.   

Abstract

BACKGROUND: Previous studies focused on the relationship between body mass index and cognitive disorder and obtained many conflicting results. This study explored the potential effects of body mass index on the risk of mild cognitive impairment (amnestic and non-amnestic) in the elderly.
METHODS: The study enrolled 240 amnestic mild cognitive impairment patients, 240 non-amnestic mild cognitive impairment patients and 480 normal cognitive function controls. Data on admission and retrospective data at baseline (6 years ago) were collected from their medical records. Cognitive function was evaluated using Mini-Mental State Examination and Montreal Cognitive Assessment.
RESULTS: Being underweight, overweight or obese at baseline was associated with an increased risk of amnestic mild cognitive impairment (OR: 2.30, 95%CI: 1.50 ~ 3.52; OR: 1.74, 95%CI: 1.36 ~ 2.20; OR: 1.71, 95%CI: 1.32 ~ 2.22, respectively). Being overweight or obese at baseline was also associated with an increased risk of non-amnestic mild cognitive impairment (OR: 1.51, 95%CI: 1.20 ~ 1.92; OR: 1.52, 95%CI: 1.21 ~ 1.97, respectively). In subjects with normal weights at baseline, an increased or decreased body mass index at follow-up was associated with an elevated risk of amnestic mild cognitive impairment (OR: 1.80, 95%CI: 1.10 ~ 3.05; OR: 3.96, 95%CI: 2.88 ~ 5.49, respectively), but only an increased body mass index was associated with an elevated risk of non-amnestic mild cognitive impairment (OR: 1.71, 95%CI: 1.16 ~ 2.59).
CONCLUSIONS: Unhealthy body mass index levels at baseline and follow-up might impact the risk of both types of mild cognitive impairment (amnestic and non-amnestic).

Entities:  

Keywords:  Body mass index; Dementia; Mild cognitive impairment; Obesity; Weight

Mesh:

Year:  2017        PMID: 28915800      PMCID: PMC5603057          DOI: 10.1186/s12888-017-1493-x

Source DB:  PubMed          Journal:  BMC Psychiatry        ISSN: 1471-244X            Impact factor:   3.630


Background

Cognitive disorder is a common nervous system disease in the elderly, and it includes mild cognitive impairment (MCI), Alzheimer’s disease (AD) and vascular dementia (VD) [1]. In recent decades, cognitive disorder has become one of the most important geriatric health problems. Around the world, dementia affected more than 45 million people in 2015 [2]. Many patients with dementia have a poor quality of life with some loss of dignity [3]. Individuals with MCI have a higher risk of dementia [4]. Some interventions are therefore needed to terminate or slow the progression of MCI [5]. An increasing number of studies have focused on the relationship between body mass index (BMI) and cognitive disorder in elderly people. Ye et al. revealed that being underweight at baseline was associated with a higher risk of progression to AD, whereas obesity at baseline predicted a lower risk [6]. Furthermore, a significant increase or decrease in BMI during the follow-up period reflected an increased risk of progression to AD [6]. Horie et al. reported that intentional weight loss through diet was associated with cognitive improvement in obese patients with MCI [7]. However, Alhurani et al. reported that increasing weight loss per decade from midlife to late life was a marker for MCI and might help identify persons who are at an increased risk for MCI [8]. This topic has not been well investigated, and there are many conflicting results. MCI can be divided into amnestic MCI (aMCI) and non-amnestic MCI (naMCI). Memory loss is the major symptom of aMCI, which has a higher risk to convert to AD [9]. The non-amnestic form of MCI includes deficits other than memory and constitutes a higher risk to convert to other dementia forms such as diffuse Lewy body dementia [10]. Therefore, these two types of MCI may be implicated in diverse pathogenesis of dementia. The associations of BMI with aMCI and naMCI may also be different, but this inference has not been proved. Therefore, we conducted a retrospective observational study enrolling nearly 1000 subjects to clarify the potential effects of baseline disorder and the follow-up changes of BMI on the risk of aMCI and naMCI in elderly people.

Methods

Subjects

Tianjin Medical University General Hospital Geriatrics Department provides medical services to the elderly in the district. Elderly individuals attend the Geriatric Outpatient Department of this hospital for health examination and disease counselling every 1 to 2 years. After permission, health data of the elderly have been collected for further research since 2008. In the study, the inclusion criteria for MCI patients were predefined as follows: (1) Outpatients in Geriatrics Department, Tianjin Medical University General Hospital between January 1, 2014, and October 31, 2016, (2) over 60 years of age on admission, (3) meet the diagnostic criteria of aMCI or naMCI. (4) have medical records from the past 6 years, (5) have no history of MCI during the previous 6 years, and (6) agree to participate in the study. Overall, 240 patients with aMCI and 240 patients with naMCI were consecutively enrolled in the study according to the inclusion criteria. A total of 480 controls with normal cognitive function were randomly selected from the Medical Examination Department, Tianjin Medical University General Hospital in the same period. All controls were over 60 years of age on admission. Subjects who had Alzheimer’s disease, vascular dementia, other types of dementia, myocardial infarction, cerebral infarction, hematencephalon, malignancies and mental diseases were excluded from the study. All subjects or their legal guardians signed written informed consent forms. The study was approved by the Ethics Committee of Tianjin Medical University General Hospital.

Data collection

This was a retrospective observational study. Data on admission and at baseline were collected from medical records. “On admission” was defined as “January 1, 2014 and October 31, 2016”, and “at baseline” was defined as “approximately 6 years ago, between January 1, 2008 and October 31, 2010”. The follow-up period was 6 years for each MCI patient. The data collected from the medical records included demographic data, height, weight, education level, medical history, medication history, cognitive function and other useful information. In addition, genotyping was conducted in the subjects to determine their apolopoprotein E4 (APOE4) carrier status on admission.

Diagnosis of mild cognitive impairment

In the Geriatrics Department and Medical Examination Department, Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were adopted for preliminary cognitive function determination. A subject with suspected cognitive disorders was recommended to a psychologist for further neurologic examination. The MCI patients were determined according to the diagnostic criteria (from Petersens et al.) by the psychologist [11]. The diagnosis was also approved by another psychologist. The diagnostic criteria of MCI were as follows: (1) Evidence of memory or other cognitive disorders, (2) preservation of general cognitive and functional abilities, and (3) absence of diagnosed dementia. MCI patients with and without memory disorder were diagnosed separately with aMCI and naMCI. Cognitive function was evaluated using MMSE and MoCA. In MMSE, subjects with fewer than 20 points and 24 points were considered to have cognitive disorder in subjects with primary school education and more than primary school education, respectively. In MoCA, subjects with fewer than 25 points and 26 points were considered to have cognitive disorder in subjects with equal to or less than 12 years of education and more than 12 years of education, respectively [12, 13]. A subject without suspected cognitive disorders or with normal scores in MMSE and MoCA was considered a subject with normal cognitive function.

Body mass index and weight

BMI was calculated using a formula: BMI (kg/m2) = weight (kg) / height 2 (m2). Underweight (BMI <18.5 kg/m2), normal weight (18.5 ~ 22.9 kg/m2), overweight (23.0 ~ 24.9 kg/m2) and obesity (BMI ≥25 kg/m2) were defined according to the World Health Organization’s recommendations for Asian populations [14]. The subjects with an increased BMI (BMI increase of >4% per year), decreased BMI (decrease of >4% per year) or stable BMI (increase or decrease of ≤4% per year) were categorized according to the 4% cut-off for BMI [15].

Statistical analysis

Continuous and categorical variables were shown by mean ± standard deviation (SD) and frequency. The difference of multiple continuous variables was determined using one-way variance analysis (ANOVA) with Duncan’s post hoc test. The difference of categorical variables was determined using chi-square test. If a P value was less than 0.05, it was considered statistical significance. The association of MCI risk with BMI was evaluated using multivariate logistic regression analysis. The odds ratio (OR) and 95% confidence interval (CI) were calculated. If a 95%CI did not include the value “1”, it was considered statistically significant. All analyses were conducted using SPSS version 19.0 (SPSS, iNC., Chicago, IL, USA).

Results

As shown in Table 1, there were more subjects with APOE4, type 2 diabetes mellitus (DM), hypertension, coronary heart disease (CHD) and metabolism syndrome (MS) in the aMCI and naMCI groups than in the control group at baseline (P < 0.05). More subjects had sulfonylureas, metformin and statins in the aMCI and naMCI groups compared with the control group (P < 0.05). Furthermore, the subjects in the naMCI group were more likely to have hypertension and CHD than the subjects in the aMCI group at baseline (P < 0.05).
Table 1

Baseline characteristics of patients with mild cognitive impairment and controls with normal cognitive function in the study

BaselineaMCI a (n = 240)naMCI a (n = 240)Control(n = 480)
Male (n, %)170 (70.8)176 (73.3)360 (75.0)
Age (yrs, mean ± SD) a 73.4 ± 7.772.6 ± 9.673.2 ± 6.8
Han nationality (n, %)224 (93.3)220 (91.7)460 (95.8)
Education
  ≤ 12 years112 (46.7)107 (44.6)231 (48.1)
 >12 years128 (53.3)133 (55.4)249 (51.9)
Type 2 DM (n, %) a 70 (29.2) *66 (27.5) *84 (17.5)
Hypertension (n, %)170 (70.8) * # 198 (82.5) *256 (53.3)
CHD (n, %) a 98 (40.8) * # 134 (55.8) *146 (30.4)
MS (n, %) a 62 (25.8) *60 (25.0) *76 (15.8)
Sulfonylureas (n, %)33 (13.8) *35 (14.6) *41 (8.5)
Metformin (n, %)45 (18.8) *43 (17.9) *61 (12.7)
Insulin (n, %)13 (5.4)10 (4.2)15 (3.1)
Statins (n, %)53 (22.1) *58 (24.2) *70 (14.6)
APOE4 carriers (n, %) a 72 (30.0) *61 (25.4) *90 (18.8)

a SD standard deviation, DM diabetes mellitus, CHD coronary heart disease, MS metabolism syndrome, APOE4 apolopoprotein E4, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment

* Compared with control, P < 0.05; # Compared with naMCI, P < 0.05

Baseline characteristics of patients with mild cognitive impairment and controls with normal cognitive function in the study a SD standard deviation, DM diabetes mellitus, CHD coronary heart disease, MS metabolism syndrome, APOE4 apolopoprotein E4, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment * Compared with control, P < 0.05; # Compared with naMCI, P < 0.05 As shown in Table 2, there was no significant difference in the scores of MMSE and MoCA among the aMCI, naMCI and control groups at baseline (P > 0.05), which indicated that the subjects in the aMCI and naMCI groups had normal cognitive function at baseline. On admission, the scores of MMSE and MoCA were markedly decreased in the aMCI and naMCI groups than in the control group (P < 0.001), indicating that the subjects showed obvious cognitive disorders after 6 years.
Table 2

Scores of neuropsychologic examination in patients with mild cognitive impairment and the controls with normal cognitive function in the study

aMCI a (n = 240)naMCI a (n = 240)Control(n = 480) P value c
MMSE (mean ± SD) a
 Total at baseline28.0 ± 1.128.1 ± 1.128.0 ± 1.10.313
  Underweight at baseline27.7 ± 1.327.2 ± 0.727.9 ± 1.00.640
  Normal weight at baseline28.0 ± 1.228.1 ± 1.228.0 ± 1.10.765
 Overweight at baseline27.9 ± 1.028.4 ± 1.128.2 ± 1.20.080
 Obese at baseline27.9 ± 1.127.9 ± 1.128.0 ± 1.10.881
 Total on admission24.1 ± 1.2 *24.1 ± 1.1 *28.1 ± 1.2<0.001
P value b <0.001<0.0010.672
MoCA (mean ± SD) a
 Total at baseline28.4 ± 1.128.5 ± 1.128.4 ± 1.10.529
  Underweight at baseline28.6 ± 1.328.7 ± 1.428.4 ± 1.00.872
  Normal weight at baseline28.4 ± 1.128.5 ± 1.128.4 ± 1.10.684
 Overweight at baseline28.3 ± 1.128.4 ± 1.228.4 ± 1.20.835
 Obese at baseline28.4 ± 1.128.6 ± 1.128.4 ± 1.10.481
 Total on admission24.4 ± 1.1 *24.4 ± 1.1 *28.4 ± 1.1<0.001
 P value b <0.001<0.0010.690

a MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, SD standard deviation, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment

b Difference of the scores between total at baseline and total on admission was determined by independent sample t test. If a P value < 0.05, it was considered significant

c Difference of the scores among aMCI, naMCI and control groups was determined by one-way variance analysis (ANOVA) with Duncan’s post hoc test. If a P value < 0.05, it was considered significant. * Compared with control, P < 0.05

Scores of neuropsychologic examination in patients with mild cognitive impairment and the controls with normal cognitive function in the study a MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, SD standard deviation, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment b Difference of the scores between total at baseline and total on admission was determined by independent sample t test. If a P value < 0.05, it was considered significant c Difference of the scores among aMCI, naMCI and control groups was determined by one-way variance analysis (ANOVA) with Duncan’s post hoc test. If a P value < 0.05, it was considered significant. * Compared with control, P < 0.05 As shown in Table 3, there was no difference in the baseline level of BMI among the aMCI, naMCI and control groups (P > 0.05), and there was no difference in the admission level (after 6 years) of BMI among these three groups (P > 0.05). The subjects were defined as underweight, normal weight, overweight or obese subjects according to their baseline BMI values. The aMCI and naMCI groups had more overweight and obese subjects (P < 0.05), and the control group had more normal weight subjects (P < 0.05). The underweight subjects were more common in the aMCI group than in the naMCI and control groups (P < 0.05). The subjects were also defined as increased BMI, stable BMI and decreased BMI subjects according to the change in BMI from baseline to admission (approximately 6 years). The increased BMI, stable BMI and decreased BMI subjects were equally distributed among the aMCI, naMCI and control groups (P > 0.05).
Table 3

Body mass index of patients with mild cognitive impairment and the controls with normal cognitive function in the study

aMCI a (n = 240)naMCI a (n = 240)Control(n = 480)
BMI at baseline (kg/m2, mean ± SD) a, b 23.5 ± 4.023.3 ± 3.123.5 ± 4.1
BMI on admission (kg/m2, mean ± SD)23.6 ± 3.323.4 ± 3.023.5 ± 2.9
 BMI at baseline
  Underweight (n, %)11 (4.6) * # 4 (1.7)9 (1.9)
  Normal weight (n, %)87 (36.3) *100 (41.7) *267 (55.6)
 Overweight (n, %)77 (32.1) *73 (30.4) *110 (22.9)
 Obese (n, %)65 (27.1) *63 (26.3) *94 (19.6)
 BMI change
  Increased (n, %)33 (13.8)28 (11.7)52 (10.4)
  Stable (n, %)181 (75.4)188 (78.3)392 (81.7)
  Decreased (n, %)26 (10.8)24 (10.0)38 (7.9)

a BMI body mass index, SD standard deviation, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment

b Difference of three continuous variables was determined by one-way variance analysis (ANOVA) with Duncan’s post hoc test. Difference of categorical variables was determined using chi-square test. If a P value < 0.05, it was considered significant. * Compared with control, P < 0.05; # Compared with naMCI, P < 0.05

Body mass index of patients with mild cognitive impairment and the controls with normal cognitive function in the study a BMI body mass index, SD standard deviation, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment b Difference of three continuous variables was determined by one-way variance analysis (ANOVA) with Duncan’s post hoc test. Difference of categorical variables was determined using chi-square test. If a P value < 0.05, it was considered significant. * Compared with control, P < 0.05; # Compared with naMCI, P < 0.05 As shown in Table 4, being underweight, overweight or obese at baseline was associated with an increased risk of aMCI in the aMCI group (OR: 2.30, 95%CI: 1.50 ~ 3.52; OR: 1.74, 95%CI: 1.36 ~ 2.20; OR: 1.71, 95%CI: 1.32 ~ 2.22, respectively). In the naMCI group, being overweight or obese but not underweight at baseline was associated with an increased risk of naMCI (OR: 1.51, 95%CI: 1.20 ~ 1.92; OR: 1.52, 95%CI: 1.21 ~ 1.97; OR: 1.19, 95%CI: 0.55 ~ 2.66, respectively). After 6 years, subjects with an increased or decreased BMI did not exhibit any changes in MCI risk in the aMCI or naMCI groups.
Table 4

Association of body mass index with amnestic and non-amnestic mild cognitive impairment risk

aMCI(n)Control(n)aMCI vs ControlOR (95%CI) a, b naMCI(n)Control(n)naMCI vs ControlOR (95%CI) a, b
BMI at baseline a
 Normal weight87267Reference100267Reference
 Underweight1192.30 (1.50 ~ 3.52)491.19 (0.55 ~ 2.66)
 Overweight771101.74 (1.36 ~ 2.20)731101.51 (1.20 ~ 1.92)
 Obese65941.71 (1.32 ~ 2.22)63941.52 (1.21 ~ 1.97)
BMI change
 Stable181392Reference188392Reference
 Increased33521.27 (0.97 ~ 1.70)28521.11 (0.81 ~ 1.55)
 Decreased26381.35 (0.99 ~ 1.85)24381.23 (0.89 ~ 1.72)

a BMI body mass index, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment, OR odds ratio, CI confidence interval

b Multivariable logistic regression analysis was adjusted by gender, age, race, education level, medication history, apolopoprotein E4 carrier, onset of type 2 diabetes mellitus, hypertension, coronary heart disease and metabolism syndrome

Association of body mass index with amnestic and non-amnestic mild cognitive impairment risk a BMI body mass index, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment, OR odds ratio, CI confidence interval b Multivariable logistic regression analysis was adjusted by gender, age, race, education level, medication history, apolopoprotein E4 carrier, onset of type 2 diabetes mellitus, hypertension, coronary heart disease and metabolism syndrome As shown in Table 5, increased or decreased BMI in subjects with a normal weight at baseline were associated with an elevated risk of aMCI (OR: 1.80, 95%CI: 1.10 ~ 3.05; OR: 3.96, 95%CI: 2.88 ~ 5.49, respectively). However, only an increased BMI in the subjects with a normal weight at baseline was associated with an elevated risk of naMCI (OR: 1.71, 95%CI: 1.16 ~ 2.59). In addition, a decreased BMI in the subjects who were overweight or obese at baseline was related to a decreased risk of aMCI in the study (OR: 0.19, 95%CI: 0.09 ~ 0.63).
Table 5

Association of body mass index change with amnestic and non-amnestic mild cognitive impairment risk according to baseline body mass index level

aMCI(n)Control(n)aMCI vs ControlOR (95%CI) a, b naMCI(n)Control(n)naMCI vs ControlOR (95%CI) a, b
Underweight at baseline
 Stable BMI a 104Reference34Reference
 Increased BMI150.27 (0.09 ~ 1.51)150.43 (0.09 ~ 2.86)
Normal weight at baseline
 Stable BMI51231Reference73222Reference
 Increased BMI12261.80 (1.10 ~ 3.05)17241.71 (1.16 ~ 2.59)
 Decreased BMI24103.96 (2.88 ~ 5.49)10211.35 (0.79 ~ 2.27)
Overweight or obese at baseline
 Stable BMI120155Reference112162Reference
 Increased BMI20211.17 (0.85 ~ 1.62)10250.81 (0.52 ~ 1.41)
 Decreased BMI2280.19 (0.09 ~ 0.63)14171.17 (0.80 ~ 1.78)

a BMI body mass index, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment, OR odds ratio, CI confidence interval

b Multivariable logistic regression analysis was adjusted by gender, age, race, education level, medication history, apolopoprotein E4 carrier, onset of type 2 diabetes mellitus, hypertension, coronary heart disease and metabolism syndrome

Association of body mass index change with amnestic and non-amnestic mild cognitive impairment risk according to baseline body mass index level a BMI body mass index, aMCI amnestic mild cognitive impairment, naMCI non-amnestic mild cognitive impairment, OR odds ratio, CI confidence interval b Multivariable logistic regression analysis was adjusted by gender, age, race, education level, medication history, apolopoprotein E4 carrier, onset of type 2 diabetes mellitus, hypertension, coronary heart disease and metabolism syndrome

Discussion

In this study, several of the recognized risk factors for MCI were not equivalent among the aMCI, naMCI and control groups. For example, onset of type 2 DM, hypertension and CHD at baseline were more common in the aMCI and naMCI groups compared with the control group. These findings were consistent with previous studies [16-18]. Two vascular-related diseases (hypertension and CHD) were more dominant in the naMCI group than in the aMCI group. This result partly proved that naMCI might be more closely related to vascular disorders, and was also consistent with some previous studies [19-21]. In addition, some hypoglycemic and hypolipidemic therapies, such as sulfonylureas, metformin, insulin and statins, affected the body weight and BMI [22]. In the study, these factors were also not distributed equally among the three groups. Considering the confounding factors mentioned above, multivariate logistic regression analysis was adopted in the study. It revealed that being overweight or obese at baseline was associated with an approximately 50-70% increased risk of all types of MCI (aMCI and naMCI). The possible explanation is that obesity triggered both vascular and non-vascular disorders (e.g. atherosclerosis and inflammation) and promoted the risk of cognitive impairment [23, 24]. However, being underweight at baseline was related only to an increased risk of aMCI but not of naMCI. There were two possible explanations. First, the sample size was too small, and the power of the test was limited. Second, being underweight might keep people away from many vascular risk factors and reduce the risk of naMCI [25]. However, more research should be conducted in the future. This study also suggested that the relationship between the BMI change observed in the study period (approximately 6 years) and the risk of MCI was partly affected by the baseline BMI. In subjects with a normal weight at baseline, an increased BMI in the study period was related to the onset of two types of MCI (aMCI and naMCI), but a decreased BMI in the same period was implicated only in the onset of aMCI. These findings were similar to the relationship observed between the baseline BMI and the risk of MCI. In subjects who were overweight or obese at baseline, a further increase in BMI in the study period was not associated with an elevated risk of MCI, and a dose-effect relationship between BMI and MCI was not proved. In the same group of subjects, a decreased BMI in the study period showed a protective effect on aMCI risk, but this was not observed in subjects with naMCI. Furthermore, in subjects who were underweight at baseline, the study did not report an effect of increased BMI on MCI risk. The potential explanation was that the lack of data reduced the power of the test. More studies should thus be conducted. There are several potential mechanisms that might explain the relationship between BMI and MCI risk. First, previous studies reported that overweight and obesity caused a variety of brain pathological changes, such as cerebral circulation insufficiency, neuronal injury and dysfunction, brain atrophy, inflammatory disorder, elevated β-amyloid precursor protein and tau protein expression [26-29], which might increase the MCI risk. Second, weight-loss-related energy dysmetabolism and hormone regulation disorder might affect the risk of the disease. Third, considering potential reverse causality, some prodromal symptoms of cognitive disorder (such as depression and apathy) could reduce appetite and cause weight loss [30]. Several dementia-related protein deposits have been documented in the olfactory pathway, and dysosmia may lead to appetite loss and maransis [31]. Previous studies have revealed that APOE4 might be an independent risk factor for AD and that APOE polymorphism might be involved in VD [32, 33]. Healthy people with APOE4 had a greater dementia risk, and dementia patients with APOE4 showed a worse response to therapy [34, 35]. In the study, APOE4 carriers were more common in the MCI groups than in the control group. Multivariate regression analysis, however, removed the effect of APOE polymorphism, and exciting results were reported.

Conclusion

This study revealed that being overweight or obese may be an independent risk factor for aMCI and naMCI, as was weight gain in people who originally had a normal weight. Being underweight was another independent risk factor for aMCI but not for naMCI. Furthermore, weight loss in overweight/obese people and normal weight people might separately exert protective and pathogenic effects on aMCI. Taken together, overweight/obesity and weight gain might affect the risk of two types of MCI (aMCI and naMCI), and underweight and weight loss may only be implicated in the risk of aMCI. However, this is a preliminary study, so further research is necessary in large community based sample to validate our conclusion and reveal the mechanisms involved.
  35 in total

1.  Unstable Body Mass Index and Progression to Probable Alzheimer's Disease Dementia in Patients with Amnestic Mild Cognitive Impairment.

Authors:  Byoung Seok Ye; Eun Young Jang; Seong Yoon Kim; Eun-Joo Kim; Sun Ah Park; Yunhwan Lee; Chang Hyung Hong; Seong Hye Choi; Bora Yoon; Soo Jin Yoon; Hae Ri Na; Jae-Hong Lee; Jee H Jeong; Hee Jin Kim; Duk L Na; Sang Won Seo
Journal:  J Alzheimers Dis       Date:  2016       Impact factor: 4.472

2.  Cognitive Effects of Intentional Weight Loss in Elderly Obese Individuals With Mild Cognitive Impairment.

Authors:  Nidia Celeste Horie; Valeria T Serrao; Sharon Sanz Simon; Maria Rita Polo Gascon; Alessandra Xavier Dos Santos; Maria Aquimara Zambone; Marta Merenciana Del Bigio de Freitas; Edecio Cunha-Neto; Emerson Leonildo Marques; Alfredo Halpern; Maria Edna de Melo; Marcio C Mancini; Cintia Cercato
Journal:  J Clin Endocrinol Metab       Date:  2015-12-29       Impact factor: 5.958

3.  The Independent Role of Inflammation in Physical Frailty among Older Adults with Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease.

Authors:  L Tay; W S Lim; M Chan; R J Ye; M S Chong
Journal:  J Nutr Health Aging       Date:  2016-03       Impact factor: 4.075

Review 4.  Clinical review: Drugs commonly associated with weight change: a systematic review and meta-analysis.

Authors:  Juan Pablo Domecq; Gabriela Prutsky; Aaron Leppin; M Bassam Sonbol; Osama Altayar; Chaitanya Undavalli; Zhen Wang; Tarig Elraiyah; Juan Pablo Brito; Karen F Mauck; Mohammed H Lababidi; Larry J Prokop; Noor Asi; Justin Wei; Salman Fidahussein; Victor M Montori; Mohammad Hassan Murad
Journal:  J Clin Endocrinol Metab       Date:  2015-01-15       Impact factor: 5.958

5.  Alzheimer disease risk associated with APOE4 is modified by STH gene polymorphism.

Authors:  D Seripa; M G Matera; R P D'Andrea; C Gravina; C Masullo; A Daniele; A Bizzarro; M Rinaldi; P Antuono; D R Wekstein; G Dal Forno; V M Fazio
Journal:  Neurology       Date:  2004-05-11       Impact factor: 9.910

6.  Plasma amyloid-beta peptide levels correlate with adipocyte amyloid precursor protein gene expression in obese individuals.

Authors:  Yong-Ho Lee; Julie M Martin; Rhonda L Maple; William G Tharp; Richard E Pratley
Journal:  Neuroendocrinology       Date:  2009-08-12       Impact factor: 4.914

7.  Relation of diabetes to mild cognitive impairment.

Authors:  José A Luchsinger; Christiane Reitz; Bindu Patel; Ming-Xin Tang; Jennifer J Manly; Richard Mayeux
Journal:  Arch Neurol       Date:  2007-04

Review 8.  Cognitive impairment in the elderly.

Authors:  C K Beck; P Heacock; C G Rapp; V Shue
Journal:  Nurs Clin North Am       Date:  1993-06       Impact factor: 1.208

9.  A complex multimodal activity intervention to reduce the risk of dementia in mild cognitive impairment--ThinkingFit: pilot and feasibility study for a randomized controlled trial.

Authors:  Thomas M Dannhauser; Martin Cleverley; Tim J Whitfield; Ben C Fletcher; Tim Stevens; Zuzana Walker
Journal:  BMC Psychiatry       Date:  2014-05-05       Impact factor: 3.630

10.  Type 2 diabetes mellitus might be a risk factor for mild cognitive impairment progressing to Alzheimer's disease.

Authors:  Wei Li; Tao Wang; Shifu Xiao
Journal:  Neuropsychiatr Dis Treat       Date:  2016-09-29       Impact factor: 2.570

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  9 in total

1.  Favourable Lifestyle Protects Cognitive Function in Older Adults With High Genetic Risk of Obesity: A Prospective Cohort Study.

Authors:  Huamin Liu; Zhenghe Wang; Lianwu Zou; Shanyuan Gu; Minyi Zhang; Daniel Nyarko Hukportie; Jiazhen Zheng; Rui Zhou; Zelin Yuan; Keyi Wu; Zhiwei Huang; Qi Zhong; Yining Huang; Xianbo Wu
Journal:  Front Mol Neurosci       Date:  2022-05-23       Impact factor: 6.261

Review 2.  Non-communicable Diseases and Cognitive Impairment: Pathways and Shared Behavioral Risk Factors Among Older Chinese.

Authors:  Vasoontara Sbirakos Yiengprugsawan; Colette Joy Browning
Journal:  Front Public Health       Date:  2019-10-23

3.  The Association Between Body Mass Index and Comorbidity, Quality of Life, and Cognitive Function in the Elderly Population.

Authors:  Masoume Rambod; Fariba Ghodsbin; Ali Moradi
Journal:  Int J Community Based Nurs Midwifery       Date:  2020-01

4.  Body mass index and mild cognitive impairment among rural older adults in China: the moderating roles of gender and age.

Authors:  Yemin Yuan; Jie Li; Nan Zhang; Peipei Fu; Zhengyue Jing; Caiting Yu; Dan Zhao; Wenting Hao; Chengchao Zhou
Journal:  BMC Psychiatry       Date:  2021-01-23       Impact factor: 3.630

5.  Screening for mild cognitive impairment in people with obesity: a systematic review.

Authors:  Nimantha Karunathilaka; Sarath Rathnayake
Journal:  BMC Endocr Disord       Date:  2021-11-17       Impact factor: 2.763

6.  Urban-rural disparities in mild cognitive impairment and its functional subtypes among community-dwelling older residents in central China.

Authors:  Dan Liu; Lin Li; Lina An; Guirong Cheng; Cong Chen; Mingjun Zou; Bo Zhang; Xuguang Gan; Lang Xu; Yangming Ou; Qingming Wu; Ru Wang; Yan Zeng
Journal:  Gen Psychiatr       Date:  2021-10-27

7.  Body mass index, waist-to-hip ratio and cognitive function among Chinese elderly: a cross-sectional study.

Authors:  Tao Zhang; Rui Yan; Qifeng Chen; Xuhua Ying; Yujia Zhai; Fudong Li; Xinyi Wang; Fan He; Chiyu Ye; Junfen Lin
Journal:  BMJ Open       Date:  2018-10-18       Impact factor: 2.692

8.  Fish Intake May Affect Brain Structure and Improve Cognitive Ability in Healthy People.

Authors:  Keisuke Kokubun; Kiyotaka Nemoto; Yoshinori Yamakawa
Journal:  Front Aging Neurosci       Date:  2020-03-20       Impact factor: 5.750

9.  Factors Predicting the Onset of Amnestic Mild Cognitive Impairment or Alzheimer's Dementia in Persons With Subjective Cognitive Decline.

Authors:  Sangwoo Ahn; Michelle A Mathiason; Dereck Salisbury; Fang Yu
Journal:  J Gerontol Nurs       Date:  2020-08-01       Impact factor: 1.254

  9 in total

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