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. 2017 Jul 31;12(7):e0182088. doi: 10.1371/journal.pone.0182088

Table 1. Characteristics of studies included in the meta-analysis.

Study and year Country Study design Duration of follow-up (years) Diabetes cases RR (95% CI) Adjustment variables Quality of studies
Andersohn 2009 [4] UK Nested case-control 15 2243 1.40 (1.16–1.70) BMI, smoking, hypertension, hyperlipidemia, recent use of beta-blockers, thiazides, antipsychotics, carbamazepine, phenytoin, valproate, lithium, glucocorticoids 9
Atlantis 2010 [30] Australia Cohort 10 155 1.80 (0.91–3.57) Demographic and lifestyle factors, functional health, and prevalent chronic disease 8
Bhattacharya 2014 [10] USA Cohort 1 525 1.06 (0.77–1.47) Age, gender, race/ethnicity, presence of depression, lifestyle risk factors—BMI, physical activity, smoking status, poverty status, insurance status 6
Campayo 2010 [31] Spain Cohort 5 163 1.26 (0.63–2.50) Diabetes risk factors and AD and antipsychotic use 8
Chang 2015 [11] Korea Cohort 4 426 0.75 (0.50–1.12) Age, gender, education, Charlson comobidity index, BMI, mini-mental state examination (MMSE), geriatric depression scale (GDS) 7
Frisard 2015 (WHI-CT) [24] USA RCT 8 4171 1.27 (1.13–1.43) Age, ethnicity, education, physical activity, total energy intake, propensity for AD medication use, hormone replacement therapy, elevated depressive symptoms, BMI 8
Frisard 2015 (WHI-OS) [24] USA Cohort 8 3624 1.35 (1.21–1.51) Age, ethnicity, education, physical activity, total energy intake, propensity for AD medication use, hormone replacement therapy, elevated depressive symptoms, BMI 7
Khoza 2012 [32] USA Cohort 7 2937 1.56 (1.40–1.73) Age, gender, medication adherence, number of concomitant diabetogenic medications, more recent year of cohort entry 6
Kisely 2009 [36] Canada Nested case-control 5 608 1.12 (0.90–1.40) Age, gender, previous health service use 7
Kivimäki 2010 [37] Finland Nested case-control 4 851 1.77 (1.37–2.30) Prevalent physical disease (hypertension, coronary heart disease, cerebrovascular disease, and cancer) 8
Kivimäki 2011 [12] UK Cohort 18 346 1.24 (0.54–2.87) Age, gender, and ethnicity 9
Knol 2007 [33] The Netherlands Cohort 7 499 1.06 (0.89–1.26) Age, gender, Chronic Disease Score (heart disease, respiratory illness, cancer, ulcer, high cholesterol) 7
Pan 2012 (HPFS) [23] USA Cohort 16 1287 1.37 (1.07–1.76) Age, ethnicity, marital status, living status, smoking, alcohol intake, multivitamin and aspirin use, physical activity, family history of diabetes, major comorbidities, dietary score, BMI 5
Pan 2012 (NHS I) [23] USA Cohort 12 3514 1.08 (0.97–1.19) Age, ethnicity, marital status, living status, smoking, alcohol intake, multivitamin and aspirin use, physical activity, family history of diabetes, major comorbidities, dietary score, BMI, MHI-5 score 6
Pan 2012 (NHS II) [23] USA Cohort 14 1840 1.21 (1.08–1.35) Age, ethnicity, marital status, living status, smoking, alcohol intake, multivitamin and aspirin use, physical activity, family history of diabetes, major comorbidities, dietary score, BMI, MHI-5 score 6
Pérez-Piñar 2016 [34] UK Cohort 10 4223 1.32 (1.29–1.34) Age, gender, ethnicity, psychiatric diagnosis, antipsychotics, Townsend score for social deprivation 7
Rubin 2010 [39] USA RCT 10 N/A 2.41 (1.63–3.57) Age, gender, race/ethnicity, education, fasting plasma glucose at baseline, weight at baseline, and weight change 7
Sambamoorthi 2013 [9] USA Cohort 4 467 0.91 (0.66–1.26) Gender, race/ethnicity, education, poverty status, prescription drug insurance, health status, functional status, BMI, smoking, presence of heart disease and hypertension
 7
Vimalananda 2014 [35] USA Cohort 12 3372 1.26 (1.11–1.43) Age, questionnaire cycle, healthcare utilization, family history of diabetes, years of education, lifestyle factors (vigorous activity levels, daily hours of television watching, caloric intake, smoking, and alcohol consumption, BMI 6
Wu 2014 [38] Taiwan Nested case-control 12 47885 1.20 (1.05–1.37) Age, gender, comorbidity with hypertension or hyperlipidemia, presence of mood disorders, use of antipsychotics 7