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Associations between untreated depression and secondary health care utilization in patients with hypertension and/or diabetes

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Abstract

Purpose

We determined the prevalence of untreated depression in patients with hypertension (HT) and/or diabetes (DM) and estimated the extra health care use and expenditures associated with this comorbidity in a rural Hungarian adult population. We also assessed the potential workload of systematic screening for depression in this patient group.

Methods

General health check database from a primary care programme containing survey data of 2027 patients with HT and/or DM was linked to the outpatient secondary care use database of National Institute of Health Insurance Fund Management. Depression was ascertained by Beck Depression Inventory score and antidepressant drug use. The association between untreated depression and secondary healthcare utilization indicated by number of visits and expenses was evaluated by multiple logistic regression analysis controlled for socioeconomic/lifestyle factors and comorbidity. The age-, sex- and education-specific observations were used to estimate the screening workload for an average general medical practice.

Results

The frequency of untreated depression was 27.08%. The untreated severe depression (7.45%) was associated with increased number of visits (OR 1.60, 95% CI 1.11–2.31) and related expenses (OR 2.20, 95% CI 1.50–3.22) in a socioeconomic status-independent manner. To identify untreated depression cases among patients with HT and/or DM, an average GP has to screen 42 subjects a month.

Conclusion

It seems to be reasonable and feasible to screen for depression in patients with HT and/or DM in the primary care, in order to detect cases without treatment (which may be associated with increase of secondary care visits and expenditures) and to initiate the adequate treatment of them.

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Acknowledgements

The authors thank all the participants who took the time to complete the questionnaires and the members of general practitioners’ cluster who participated in data collection. Furthermore, the authors thank Alexandra Balázs for support in managing the legal issues related to data access. The reported study was carried out in the framework of the “Public Health Focused Model Programme for Organising Primary Care Services Backed by a Virtual Care Service Centre” (SH/8/1). The Model Programme is funded by the Swiss Government via the Swiss Contribution Programme (SH/8/1) in agreement with the Government of Hungary. Additional source of funding was from GINOP-2.3.2-15-2016-00005 project which was co-financed by the European Union and the European Regional Development Fund.

Author information

Authors and Affiliations

Authors

Contributions

Concept/design: AP, JS, MP; data collection: AP, JS, MP, LK, ZSF, LP; data analysis/interpretation: AP, JS, ZSB, PD, ZR; drafting manuscript: AP, JS, PD, ZR. All authors contributed to the writing of the final version of the paper.

Corresponding author

Correspondence to János Sándor.

Ethics declarations

Ethical approval

The study protocol was approved by the Ethics Committee of the Hungarian National Scientific Council on Health (TUKEB 16676-3/2016/EKU, 0361/16). All enrolled patients signed an informed consent form contributing to the storage and analysis of their data before the data collection of health check started. Furthermore, the legal staff of the National Institute of Health Insurance Fund Management checked each signed informed consent before issuing the permission for record linkage. The health insurance numbers of the patients were handled exclusively on computers of and within the National Institute of Health Insurance Fund Management by this institution’s own staff members dedicated to handling these sensitive data as their usual job. Nobody else from the study personnel obtained permission to handle these data.

Conflict of interest

ZR has in the past received speakers’ bureau honoraria, advisory board funding or travel support from AstraZeneca, Janssen, Lundbeck, Lilly, Servier-EGIS, Richter and TEVA-Biogal. The other authors report no biomedical financial interests or potential conflicts of interest. The authors declare that the presented epidemiological research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Appendices

Appendix 1

Association between any indicator of depression among patients with hypertension and/or diabetes and a higher-than-median episode number per year in outpatient institutions according to the multivariate logistic regression analysis (significant results are in bold)

 

Risk for above-median episode numbersa

Complete case analysis (N = 1772)

Multiple imputation (N = 2027)

Gender

 Female

1.05 [0.84–1.32]

1.03 [0.83–1.27]

 Male

1 (reference)

1 (reference)

Age

 Year

1.01 [1.00–1.02]

1.01 [1.00–1.02]

Education

 Primary

1.05 [0.74–1.50]

1.26 [0.91–1.74]

 Vocational

1.28 [0.87–1.90]

1.39 [0.97–1.99]

 High school

1.17 [0.80–1.73]

1.38 [0.96–1.97]

 Tertiary

1.21 [0.74–1.95]

1.33 [0.84–2.10]

 Less than primary

1 (reference)

1 (reference)

Ethnicity

 Roma

1.07 [0.69–1.67]

1.11 [0.74–1.68]

 Non-Roma

1 (reference)

1 (reference)

Alcohol consumption by AUDIT

 Problem drinker

0.66 [0.24–1.84]

0.71 [0.29–1.75]

 Non-problem drinker

1 (reference)

1 (reference)

Smoking

 Occasional

1.61 [0.84–3.08]

1.86 [1.01–3.42]

 Regular

0.92 [0.69–1.22]

0.89 [0.67–1.17]

 Former

1.40 [1.07–1.81]

1.35 [1.03–1.77]

 Never

1 (reference)

1 (reference)

BMI

 Obese

1.07 [0.87–1.32]

1.10 [0.90–1.34]

 Normal

1 (reference)

1 (reference)

Central obesity

 Central obesity

1.24 [0.82–1.86]

1.14 [0.77–1.68]

 Normal

1 (reference)

1 (reference)

Accompanying disease

 Chronic musculoskeletal disorders

1.54 [1.23–1.93]

1.58 [1.27–1.95]

 Visual acuity impairment or hearing loss

1.28 [0.94–1.73]

1.24 [0.92–1.66]

 Osteoporosis

1.30 [0.89–1.89]

1.27 [0.88–1.83]

 Chronic kidney disorder

1.01 [0.68–1.50]

1.04 [0.71–1.52]

 No accompanying disorder

1 (reference)

1 (reference)

Compliance

 Purchased medicineb less than four times a year

0.98 [0.76–1.26]

1.00 [0.79–1.27]

 Purchased medicineb at least four times a year

1 (reference)

1 (reference)

Generel practitioner (GP)

 GP 1

0.80 [0.53–1.21]

0.82 [0.55–1.23]

 GP 2

0.52 [0.33–0.82]

0.55 [0.35–0.85]

 GP 3

0.79 [0.42–1.50]

0.93 [0.53–1.61]

 GP 4

0.93 [0.41–2.12]

0.93 [0.51–1.71]

 GP 5

0.84 [0.54–1.29]

0.88 [0.58–1.33]

 GP 6

1.57 [0.83–2.97]

1.59 [0.99–2.55]

 GP 7

0.76 [0.50–1.16]

0.81 [0.53–1.22]

 GP 8

0.91 [0.49–1.67]

1.14 [0.67–1.92]

 GP 9

0.58 [0.23–1.48]

1.02 [0.51–2.05]

 GP 10

0.26 [0.15–0.45]

0.27 [0.16–0.46]

 GP 11

0.31 [0.18–0.52]

0.32 [0.19–0.54]

 GP 12

0.49 [0.29–0.84]

0.53 [0.31–0.89]

 GP 13

0.34 [0.20–0.58]

0.36 [0.22–0.60]

 GP 14

0.37 [0.23–0.61]

0.40 [0.25–0.66]

 GP 15

1 (reference)

1 (reference)

Depression

 Depression (BDI > 9 and did not purchase antidepressant in 12 months)

1.21 [0.96–1.53]

1.25 [1.00–1.56]

 Purchased antidepressant in 12 months

3.42 [2.29–5.12]

3.24 [2.21–4.75]

 No depression (BDI ≤ 9 and did not purchase antidepressant in 12 months)

1 (reference)

1 (reference)

  1. aOdds ratio [95% confidence interval]
  2. bAntihypertensive and/or antidiabetic medicine

Appendix 2

Association between any indicator of depression among patients with hypertension and/or diabetes and a higher-than-median reimbursement per year in outpatient institutions according to the multivariate logistic regression analysis (significant results are in bold)

 

Risk for above-median expensesa

Complete case analysis (N = 1772)

Multiple imputation (N = 2027)

Gender

 Female

1.22 [0.97–1.53]

1.10 [0.89–1.36]

 Male

1 (reference)

1 (reference)

Age

 Year

1.01 [1.00–1.02]

1.01 [1.00–1.02]

Education

 Primary

1.11 [0.78–1.59]

1.25 [0.90–1.73]

 Vocational

1.35 [0.91–2.00]

1.34 [0.93–1.93]

 High school

1.18 [0.80–1.74]

1.27 [0.88–1.82]

 Tertiary

1.31 [0.81–2.13]

1.27 [0.80–2.02]

 Less than primary

1 (reference)

1 (reference)

Ethnicity

 Roma

0.92 [0.59–1.44]

1.00 [0.66–1.52]

 Non-Roma

1 (reference)

1 (reference)

Alcohol consumption by AUDIT

 Problem drinker

0.60 [0.21–1.69]

0.63 [0.25–1.57]

 Non-problem drinker

1 (reference)

1 (reference)

Smoking

 Occasional

1.33 [0.69–2.56]

1.64 [0.86–3.14]

 Regular

0.95 [0.72–1.26]

0.94 [0.72–1.23]

 Former

1.44 [1.11–1.88]

1.41 [1.08–1.86]

 Never

1 (reference)

1 (reference)

BMI

 Obese

1.03 [0.83–1.27]

1.07 [0.87–1.30]

 Normal

1 (reference)

1 (reference)

Central obesity

 Central obesity

1.07 [0.72–1.61]

1.05 [0.71–1.54]

 Normal

1 (reference)

1 (reference)

Accompanying disease

 Chronic musculoskeletal disorders

1.52 [1.21–1.91]

1.56 [1.26–1.94]

 Visual acuity impairment or hearing loss

1.39 [1.02–1.90]

1.30 [0.96–1.75]

 Osteoporosis

1.56 [1.06–2.29]

1.50 [1.03–2.18]

 Chronic kidney disorder

1.05 [0.70–1.56]

1.06 [0.72–1.56]

 No accompanying disorder

1 (reference)

1 (reference)

Compliance

 Purchased medicineb less than four times a year

0.98 [0.76–1.26]

1.00 [0.79–1.26]

 Purchased medicineb at least four times a year

1 (reference)

1 (reference)

Generel practitioner (GP)

 GP 1

0.86 [0.57–1.31]

0.87 [0.58–1.31]

 GP 2

0.58 [0.37–0.90]

0.57 [0.36–0.88]

 GP 3

1.11 [0.58–2.10]

1.22 [0.70–2.13]

 GP 4

1.21 [0.52–2.83]

1.08 [0.58–1.99]

 GP 5

0.90 [0.58–1.39]

0.92 [0.61–1.41]

 GP 6

2.07 [1.07–4.03]

2.00 [1.23–3.25]

 GP 7

1.06 [0.69–1.63]

1.10 [0.73–1.67]

 GP 8

0.99 [0.54–1.84]

1.11 [0.65–1.88]

 GP 9

1.09 [0.43–2.78]

1.69 [0.81–3.50]

 GP 10

0.22 [0.12–0.38]

0.23 [0.13–0.39]

 GP 11

0.33 [0.20–0.56]

0.35 [0.21–0.58]

 GP 12

0.56 [0.33–0.97]

0.58 [0.34–0.99]

 GP 13

0.28 [0.17–0.48]

0.30 [0.18–0.50]

 GP 14

0.35 [0.21–0.58]

0.39 [0.24–0.63]

 GP 15

1 (reference)

1 (reference)

Depression

 Depression (BDI > 9 and did not purchase antidepressant in 12 months)

1.44 [1.14–1.81]

1.52 [1.21–1.90]

 Purchased antidepressant in 12 months

4.41 [2.87–6.79]

4.17 [2.78–6.25]

 No depression (BDI ≤ 9 and did not purchase antidepressant in 12 months)

1 (reference)

1 (reference)

  1. aOdds ratio [95% confidence interval]
  2. bAntihypertensive and/or antidiabetic medicine

Appendix 3

Association between different categories of depression among patients with hypertension and/or diabetes and a higher-than-median episode number per year in outpatient institutions according to the multivariate logistic regression analysis (significant results are in bold)

 

Risk for above-median episode numbersa

Complete case analysis (N = 1772)

Multiple imputation (N = 2027)

Gender

 Female

1.05 [0.83–1.31]

1.03 [0.83–1.27]

 Male

1 (reference)

1 (reference)

Age

 Year

1.01 [1.00–1.02]

1.01 [1.00–1.02]

 Education

 Primary

1.08 [0.76–1.55]

1.30 [0.94–1.80]

 Vocational

1.36 [0.91–2.02]

1.46 [1.01–2.10]

 High school

1.25 [0.84–1.85]

1.45 [1.01–2.09]

 Tertiary

1.30 [0.80–2.11]

1.41 [0.89–2.24]

 Less than primary

1 (reference)

1 (reference)

Ethnicity

 Roma

1.00 [0.64–1.57]

1.05 [0.69–1.59]

 Non-Roma

1 (reference)

1 (reference)

Alcohol consumption by AUDIT

 Problem drinker

0.61 [0.22–1.72]

0.66 [0.26–1.65]

 Non-problem drinker

1 (reference)

1 (reference)

Smoking

 Occasional

1.56 [0.81–3.00]

1.84 [0.99–3.39]

 Regular

0.90 [0.68–1.20]

0.88 [0.66–1.16]

 Former

1.38 [1.06–1.80]

1.35 [1.03–1.77]

 Never

1 (reference)

1 (reference)

BMI

 Obese

1.06 [0.86–1.31]

1.08 [0.89–1.32]

 Normal

1 (reference)

1 (reference)

Central obesity

 Central obesity

1.23 [0.82–1.85]

1.12 [0.76–1.65]

 Normal

1 (reference)

1 (reference)

Accompanying disease

 Chronic musculoskeletal disorders

1.55 [1.23–1.94]

1.58 [1.28–1.96]

 Visual acuity impairment or hearing loss

1.26 [0.92–1.71]

1.22 [0.91–1.64]

 Osteoporosis

1.30 [0.89–1.90]

1.28 [0.89–1.86]

 Chronic kidney disorder

1.00 [0.67–1.48]

1.02 [0.70–1.50]

 No accompanying disorder

1 (reference)

1 (reference)

Compliance

 Purchased medicineb less than four times a year

0.99 [0.77–1.27]

1.02 [0.81–1.29]

 Purchased medicineb at least four times a year

1 (reference)

1 (reference)

Generel practitioner (GP)

 GP 1

0.80 [0.53–1.22]

0.82 [0.55–1.23]

 GP 2

0.54 [0.34–0.84]

0.56 [0.36–0.87]

 GP 3

0.80 [0.42–1.51]

0.92 [0.53–1.60]

 GP 4

0.88 [0.38–2.04]

0.88 [0.48–1.64]

 GP 5

0.84 [0.54–1.29]

0.87 [0.57–1.32]

 GP 6

1.53 [0.81–2.91]

1.56 [0.97–2.50]

 GP 7

0.76 [0.50–1.17]

0.80 [0.53–1.21]

 GP 8

0.90 [0.49–1.66]

1.14 [0.67–1.92]

 GP 9

0.57 [0.22–1.46]

1.02 [0.51–2.05]

 GP 10

0.26 [0.15–0.44]

0.26 [0.15–0.45]

 GP 11

0.31 [0.19–0.53]

0.32 [0.19–0.54]

 GP 12

0.50 [0.29–0.85]

0.52 [0.31–0.89]

 GP 13

0.34 [0.20–0.58]

0.35 [0.21–0.59]

 GP 14

0.36 [0.22–0.60]

0.39 [0.24–0.64]

 GP 15

1 (reference)

1 (reference)

Depression

 No depression by BDI, purchased antidepressant in 12 months

2.24 [1.24–4.03]

2.39 [1.36–4.19]

 Mild depression by BDI, did not purchase antidepressant in 12 months

0.98 [0.73–1.33]

1.04 [0.79–1.38]

 Mild depression by BDI, purchased antidepressant in 12 months

3.45 [1.44–8.28]

3.53 [1.45–8.58]

 Moderate depression by BDI, did not purchase antidepressant in 12 months

1.42 [0.96–2.11]

1.41 [0.96–2.06]

 Moderate depression by BDI, purchased antidepressant in 12 months

3.45 [1.31–9.11]

2.72 [1.14–6.50]

 Severe depression by BDI, did not purchase antidepressant in 12 months

1.60 [1.07–2.38]

1.60 [1.11–2.31]

 Severe depression by BDI, purchased antidepressant in 12 months

7.85 [3.14–19.58]

6.80 [2.85–16.21]

 No depression by BDI, did not purchase antidepressant in 12 months

1 (reference)

1 (reference)

  1. aOdds ratio [95% confidence interval]
  2. bAntihypertensive and/or antidiabetic medicine

Appendix 4

Association between different categories of depression among patients with hypertension and/or diabetes and a higher-than-median reimbursement per year in outpatient institutions according to the multivariate logistic regression analysis (significant results are in bold)

 

Risk for above-median expensesa

Complete case analysis (N = 1772)

Multiple imputation (N = 2027)

Gender

 Female

1.21 [0.96–1.52]

1.10 [0.88–1.36]

 Male

1 (reference)

1 (reference)

Age

 Year

1.01 [1.00–1.02]

1.01 [1.00–1.02]

Education

 Primary

1.15 [0.80–1.64]

1.30 [0.93–1.81]

 Vocational

1.44 [0.97–2.16]

1.44 [0.99–2.08]

 High school

1.26 [0.85–1.87]

1.36 [0.94–1.97]

 Tertiary

1.43 [0.87–2.33]

1.38 [0.87–2.19]

 Less than primary

1 (reference)

1 (reference)

Ethnicity

 Roma

0.87 [0.55–1.36]

0.95 [0.62–1.44]

 Non-Roma

1 (reference)

1 (reference)

Alcohol consumption by AUDIT

 Problem drinker

0.58 [0.20–1.65]

0.59 [0.23–1.50]

 Non-problem drinker

1 (reference)

1 (reference)

Smoking

 Occasional

1.25 [0.64–2.42]

1.59 [0.84–3.00]

 Regular

0.93 [0.70–1.23]

0.92 [0.71–1.21]

 Former

1.42 [1.09–1.85]

1.40 [1.06–1.83]

 Never

1 (reference)

1 (reference)

BMI

 Obese

1.02 [0.82–1.25]

1.05 [0.86–1.28]

 Normal

1 (reference)

1 (reference)

Central obesity

 Central obesity

1.07 [0.71–1.62]

1.04 [0.71–1.53]

 Normal

1 (reference)

1 (reference)

Accompanying disease

 Chronic musculoskeletal disorders

1.52 [1.20–1.91]

1.57 [1.26–1.95]

 Visual acuity impairment or hearing loss

1.35 [0.99–1.85]

1.26 [0.94–1.70]

 Osteoporosis

1.53 [1.04–2.25]

1.49 [1.02–2.17]

 Chronic kidney disorder

1.03 [0.69–1.53]

1.04 [0.70–1.53]

 No accompanying disorder

1 (reference)

1 (reference)

Compliance

 Purchased medicineb less than four times a year

0.99 [0.76–1.27]

1.02 [0.80–1.29]

 Purchased medicineb at least four times a year

1 (reference)

1 (reference)

Generel practitioner (GP)

 GP 1

0.88 [0.58–1.34]

0.88 [0.58–1.32]

 GP 2

0.60 [0.38–0.94]

0.59 [0.38–0.91]

GP 3

1.12 [0.59–2.13]

1.23 [0.70–2.15]

 GP 4

1.21 [0.51–2.84]

1.04 [0.56–1.95]

 GP 5

0.92 [0.60–1.42]

0.93 [0.61–1.42]

 GP 6

2.08 [1.07–4.04]

1.99 [1.22–3.23]

 GP 7

1.09 [0.71–1.67]

1.11 [0.73–1.69]

 GP 8

1.00 [0.54–1.85]

1.12 [0.66–1.90]

 GP 9

1.10 [0.43–2.81]

1.71 [0.83–3.55]

 GP 10

0.22 [0.12–0.38]

0.22 [0.13–0.38]

 GP 11

0.34 [0.20–0.58]

0.35 [0.21–0.59]

 GP 12

0.58 [0.34–1.00]

0.59 [0.34–1.00]

 GP 13

0.29 [0.17–0.49]

0.30 [0.18–0.51]

 GP 14

0.35 [0.21–0.58]

0.38 [0.23–0.62]

 GP 15

1 (reference)

1 (reference)

Depression

 No depression by BDI, purchased antidepressant in 12 months

2.30 [1.27–4.18]

2.37 [1.35–4.19]

 Mild depression by BDI, did not purchase antidepressant in 12 months

1.22 [0.90–1.65]

1.28 [0.97–1.69]

 Mild depression by BDI, purchased antidepressant in 12 months

4.97 [1.90–12.99]

4.78 [1.67–13.71]

 Moderate depression by BDI, did not purchase antidepressant in 12 months

1.40 [0.94–2.08]

1.52 [1.04–2.23]

 Moderate depression by BDI, purchased antidepressant in 12 months

12.23 [2.79–53.66]

8.76 [1.62–47.47]

 Severe depression by BDI, did not purchase antidepressant in 12 months

2.16 [1.44–3.25]

2.20 [1.50–3.22]

 Severe depression by BDI, purchased antidepressant in 12 months

9.29 [3.46–24.92]

9.62 [3.55–26.08]

 No depression by BDI, did not purchase antidepressant in 12 months

1 (reference)

1 (reference)

  1. aOdds ratio [95% confidence interval]
  2. bAntihypertensive and/or antidiabetic medicine

Appendix 5

Sociodemographic, lifestyle and clinical characteristics of the patients by depression classifications

 

BDI (normal) AD(−)b

BDI (mild) AD(−)b

BDI (moderate) AD(-)b

BDI (severe) AD(−)b

AD(+)b

Missingb

Totalb

Gender

 Male

503 (39.27%) [36.58–42.00%]

85 (32.44%) [26.81–38.48%]

49 (36.03%) [27.98–44.70%]

42 (27.81%) [20.84–35.68%]

35 (23.65%) [17.06–31.32%]

16 (32.65%) [19.95–47.54%]

730 (36.01%) [33.92–38.15%]

 Female

778 (60.73%) [58.00–63.42%]

177 (67.56%) [61.52–73.19%]

87 (63.97%) [55.30–72.02%]

109 (72.19%) [64.32–79.16%]

113 (76.35%) [68.68–82.94%]

33 (67.35%) [52.46–80.05%]

1297 (63.99%) [61.85–66.08%]

Age

 Year (mean ± SD)

61.41 (± 13.07)

59.60 (± 13.18)

60.42 (± 12.61)

56.89 (± 11.27)

58.51 (± 12.41)

56.18 (± 13.34)

60.43 (± 12.96)

Education

 Less than primary

117 (9.13%) [7.61–10.85%]

29 (11.07%) [7.54–15.51%]

21 (15.44%) [9.82–22.63%]

38 (25.17%) [18.47–32.87%]

19 (12.84%) [7.91–19.32%]

8 (16.33%) [7.32–29.66%]

232 (11.45%) [10.09–12.91%]

 Primary

414 (32.32%) [29.76–34.96%]

79 (30.15%) [24.66–36.10%]

51 (37.50%) [29.35–46.21%]

64 (42.38%) [34.39–50.68%]

55 (37.16%) [29.37–45.48%]

18 (36.73%) [23.42–51.71%]

681 (33.60%) [31.54–35.70%]

 Vocational

297 (23.19%) [20.90–25.60%]

75 (28.63%) [23.23–34.51%]

36 (26.47%) [19.28–34.72%]

26 (17.22%) [11.57–24.20%]

27 (18.24%) [12.38–25.42%]

12 (24.49%) [13.34–38.87%]

473 (23.33%) [21.51–25.24%]

 High school

340 (26.54%) [24.14–29.05%]

61 (23.28%) [18.30–28.88%]

22 (16.18%) [10.42–23.46%]

20 (13.25%) [8.28–19.71%]

37 (25.00%) [18.25–32.78%]

9 (18.37%) [8.76–32.02%]

489 (24.12%) [22.28–26.05%]

 Tertiary

113 (8.82%) [7.33–10.51%]

18 (6.87%) [4.12–10.64%]

6 (4.41%) [1.64–9.36%]

3 (1.99%) [0.41–5.70%]

10 (6.76%) [3.29–12.07%]

2 (4.08%) [0.50–13.98%]

152 (7.50%) [6.39–8.73%]

Ethnicity

 Roma

55 (4.29%) [3.25–5.55%]

17 (6.49%) [3.82–10.19%]

18 (13.24%) [8.04–20.11%]

29 (19.21%) [13.26–26.40%]

11 (7.43%) [3.77–12.91%]

1 (2.04%) [0.05–10.85%]

131 (6.46%) [5.43–7.62%]

 Non-Roma

1223 (95.47%) [94.19–96.54%]

245 (93.51%) [89.81–96.18%]

117 (86.03%) [79.05–91.37%]

122 (80.79%) [73.60–86.74%]

137 (92.57%) [87.09–96.23%]

48 (97.96%) [89.15–99.95%]

1892 (93.34%) [92.17–94.39%]

 Missing

3 (0.23%) [0.05–0.68%]

0 (0.00%) [0.00–1.40%]

1 (0.74%) [0.02–4.03%]

0 (0.00%) [0.00–2.41%]

0 (0.00%) [0.00–2.46%]

0 (0.00%) [0.00–7.25%]

4 (0.20%) [0.05–0.50%]

Alcohol consumption by AUDIT

 Problem drinker

15 (1.17%) [0.66–1.92%]

1 (0.38%) [0.01–2.11%]

3 (2.21%) [0.46–6.31%]

0 (0.00%) [0.00–2.41%]

1 (0.68%) [0.02–3.71%]

1 (2.04%) [0.05–10.85%]

21 (1.04%) [0.64–1.58%]

 Non-problem drinker

1263 (98.59%) [97.79–99.17%]

259 (98.85%) [96.69–99.76%]

133 (97.79%) [93.69–99.54%]

151 (100.00%) [97.59–100.00%]

147 (99.32%) [96.29–99.98%]

48 (97.96%) [89.15–99.95%]

2001 (98.72%) [98.13–99.16%]

 Missing

3 (0.23%) [0.05–0.68%]

2 (0.76%) [0.09–2.73%]

0 (0.00%) [0.00–2.68%]

0 (0.00%) [0.00–2.41%]

0 (0.00%) [0.00–2.46%]

0 (0.00%) [0.00–7.25%]

5 (0.25%) [0.08–0.57%]

Smoking

 Occasional

25 (1.95%) [1.27–2.87%]

6 (2.29%) [0.84–4.92%]

4 (2.94%) [0.81–7.36%]

7 (4.64%) [1.88–9.32%]

2 (1.35%) [0.16–4.80%]

0 (0.00%) [0.00–7.25%]

44 (2.17%) [1.58–2.90%]

 Regular

231 (18.03%) [15.96–20.25%]

59 (22.52%) [17.61–28.06%]

40 (29.41%) [21.91–37.83%]

56 (37.09%) [29.37–45.31%]

45 (30.41%) [23.12–38.50%]

12 (24.49%) [13.34–38.87%]

443 (21.85%) [20.07–23.72%]

 Former

266 (20.77%) [18.57–23.09%]

51 (19.47%) [14.85–24.79%]

31 (22.79%) [16.04–30.77%]

25 (16.56%) [11.01–23.46%]

26 (17.57%) [11.81–24.67%]

11 (22.45%) [11.77–36.62%]

410 (20.23%) [18.50–22.04%]

 Never

653 (50.98%) [48.20–53.75%]

114 (43.51%) [37.42–49.75%]

50 (36.76%) [28.67–45.45%]

45 (29.80%) [22.64–37.78%]

64 (43.24%) [35.13–51.63%]

22 (44.90%) [30.67–59.77%]

948 (46.77%) [44.58–48.97%]

 Missing

106 (8.27%) [6.82–9.92%]

32 (12.21%) [8.51–16.80%]

11 (8.09%) [4.11–14.01%]

18 (11.92%) [7.22–18.18%]

11 (7.43%) [3.77–12.91%]

4 (8.16%) [2.27–19.60%]

182 (8.98%) [7.77–10.31%]

BMI

 Obese

660 (51.52%) [48.75–54.29%]

121 (46.18%) [40.03–52.42%]

67 (49.26%) [40.59–57.97%]

71 (47.02%) [38.86–55.30%]

73 (49.32%) [41.02–57.66%]

18 (36.73%) [23.42–51.71%]

1010 (49.83%) [47.63–52.03%]

 Normal

611 (47.70%) [44.93–50.47%]

136 (51.91%) [45.68–58.10%]

68 (50.00%) [41.31–58.69%]

72 (47.68%) [39.50–55.96%]

72 (48.65%) [40.36–56.99%]

30 (61.22%) [46.24–74.80%]

989 (48.79%) [46.59–50.99%]

 Missing

10 (0.78%) [0.37–1.43%]

5 (1.91%) [0.62–4.40%]

1 (0.74%) [0.02–4.03%]

8 (5.30%) [2.31–10.17%]

3 (2.03%) [0.42–5.81%]

1 (2.04%) [0.05–10.85%]

28 (1.38%) [0.92–1.99%]

Central obesity

 Central obesity

1181 (92.19%) [90.59–93.60%]

240 (91.60%) [87.56–94.66%]

125 (91.91%) [85.99–95.89%]

142 (94.04%) [88.99–97.24%]

139 (93.92%) [88.77–97.18%]

44 (89.80%) [77.77–96.60%]

1871 (92.30%) [91.06–93.43%]

 Normal

97 (7.57%) [6.18–9.16%]

20 (7.63%) [4.72–11.54%]

11 (8.09%) [4.11–14.01%]

9 (5.96%) [2.76–11.01%]

9 (6.08%) [2.82–11.23%]

4 (8.16%) [2.27–19.60%]

150 (7.40%) [6.30–8.63%]

 Missing

3 (0.23%) [0.05–0.68%]

2 (0.76%) [0.09–2.73%]

0 (0.00%) [0.00–2.68%]

0 (0.00%) [0.00–2.41%]

0 (0.00%) [0.00–2.46%]

1 (2.04%) [0.05–10.85%]

6 (0.30%) [0.11–0.64%]

Accompanying disease

 Chronic kidney disorder

75 (5.85%) [4.63–7.28%]

17 (6.49%) [3.82–10.19%]

10 (7.35%) [3.58–13.11%]

13 (8.61%) [4.66–14.27%]

8 (5.41%) [2.36–10.37%]

2 (4.08%) [0.50–13.98%]

125 (6.17%) [5.16–7.30%]

 No accompanying chronic kidney disorder

1206 (94.15%) [92.72–95.37%]

245 (93.51%) [89.81–96.18%]

126 (92.65%) [86.89–96.42%]

138 (91.39%) [85.73–95.34%]

140 (94.59%) [89.63–97.64%]

47 (95.92%) [86.02–99.50%]

1902 (93.83%) [92.70–94.84%]

 Osteoporosis

87 (6.79%) [5.48–8.31%]

26 (9.92%) [6.59–14.20%]

6 (4.41%) [1.64–9.36%]

13 (8.61%) [4.66–14.27%]

15 (10.14%) [5.78–16.17%]

6 (12.24%) [4.63–24.77%]

153 (7.55%) [6.44–8.79%]

 No accompanying osteoporosis

1194 (93.21%) [91.69–94.52%]

236 (90.08%) [85.80–93.41%]

130 (95.59%) [90.64–98.36%]

138 (91.39%) [85.73–95.34%]

133 (89.86%) [83.83–94.22%]

43 (87.76%) [75.23–95.37%]

1874 (92.45%) [91.21–93.56%]

 Loss of visual acuity or hearing

444 (34.66%) [32.05–37.34%]

114 (43.51%) [37.42–49.75%]

46 (33.82%) [25.94–42.43%]

70 (46.36%) [38.22–54.65%]

58 (39.19%) [31.28–47.54%]

11 (22.45%) [11.77–36.62%]

743 (36.66%) [34.55–38.80%]

 No accompanying loss of visual acuity or hearing

837 (65.34%) [62.66–67.95%]

148 (56.49%) [50.25–62.58%]

90 (66.18%) [57.57–74.06%]

81 (53.64%) [45.35–61.78%]

90 (60.81%) [52.46–68.72%]

38 (77.55%) [63.38–88.23%]

1284 (63.34%) [61.20–65.45%]

 Chronic musculoskeletal disorders

399 (31.15%) [28.62–33.76%]

114 (43.51%) [37.42–49.75%]

57 (41.91%) [33.51–50.67%]

71 (47.02%) [38.86–55.30%]

63 (42.57%) [34.49–50.95%]

20 (40.82%) [27.00–55.79%]

724 (35.72%) [33.63–37.85%]

 No accompanying chronic musculoskeletal disorders

882 (68.85%) [66.24–71.38%]

148 (56.49%) [50.25–62.58%]

79 (58.09%) [49.33–66.49%]

80 (52.98%) [44.70–61.14%]

85 (57.43%) [49.05–65.51%]

29 (59.18%) [44.21–73.00%]

1303 (64.28%) [62.15–66.37%]

Compliance

 Purchased medicinea at least four times a year

1023 (79.86%) [77.56–82.02%]

204 (77.86%) [72.34–82.74%]

103 (75.74%) [67.64–82.67%]

122 (80.79%) [73.60–86.74%]

121 (81.76%) [74.58–87.62%]

39 (79.59%) [65.66–89.76%]

1612 (79.53%) [77.70–81.26%]

 Purchased medicinea less than four times a year

258 (20.14%) [17.98–22.44%]

58 (22.14%) [17.26–27.66%]

33 (24.26%) [17.33–32.36%]

29 (19.21%) [13.26–26.40%]

27 (18.24%) [12.38–25.42%]

10 (20.41%) [10.24–34.34%]

415 (20.47%) [18.74–22.30%]

Total

1281 (63.20%) [61.05–65.30%]

262 (12.93%) [11.49–14.46%]

136 (6.71%) [5.66–7.89%]

151 (7.45%) [6.34–8.68%]

148 (7.30%) [6.21–8.52%]

49 (2.42%) [1.79–3.18%]

2027 (100.00%) [99.82–100.00%]

  1. AD antidepressant drug purchase, BDI Beck Depression Inventory, SD standard deviation
  2. aAntihypertensive and/or antidiabetic medicine
  3. bNumber of patients and prevalence (%) [95% confidence interval]

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Pálinkás, A., Sándor, J., Papp, M. et al. Associations between untreated depression and secondary health care utilization in patients with hypertension and/or diabetes. Soc Psychiatry Psychiatr Epidemiol 54, 255–276 (2019). https://doi.org/10.1007/s00127-018-1545-7

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  • DOI: https://doi.org/10.1007/s00127-018-1545-7

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