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Original Article
75 (
3
); 144-155
doi:
10.25259/IJMS_45_2023

Depression and anxiety among persons with type II diabetes mellitus and hypertension; A cross-sectional analytical study in the rural field practice area of a tertiary care center in Puducherry

Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.

*Corresponding author: Simi Salim, Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India. simisalim3991@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Salim S, Saya GK, Kattimani S, Kar SS. Depression and anxiety among persons with type II diabetes mellitus and hypertension; a cross-sectional analytical study in the rural field practice area of a tertiary care center in Puducherry. Indian J Med Sci 2023;75:144-55.

Abstract

Objectives:

To determine the proportion of depression and anxiety disorders; their association with sociodemographic, NCD-related factors and Quality of Life among persons with type II Diabetes Mellitus or Hypertension at a rural health center in Puducherry.

Materials and Methods:

This facility-based cross-sectional analytical study recruited 692 participants from May 2020 to September 2021. A structured questionnaire collected sociodemographic and NCD-related history; The Hospital Anxiety and Depression Scale (HADS) and The World Health Organization quality of life (WHOQOL) - BREF questionnaires for depression, anxiety and QOL assessment, respectively. Independent variables were assessed for relationship with depression and anxiety using univariate analysis. Multivariable logistic regression analysis was done to determine the predictors of depression and anxiety.

Results:

Nearly 17.8% (95% confidence interval [CI] - 13.8%–22.4%) had depression and 12.7% (95% CI - 9.5–16.7%) had anxiety. Age (adjusted odds ratio [aOR] - 0.97; 95% CI - 0.95–0.99), depression/anxiety disorders family history (aOR - 2.58; 95% CI - 1.26–5.26), overall QOL score reduction (aOR - 0.76; 95% CI - 0.60–0.97), and social domain score reduction (aOR - 0.98; 95% CI - 0.97–0.99) were the significant predictors of depression. No formal education (aOR - 10.84; 95% CI - 4.54–25.86), being homemaker (aOR - 3.49; 95% CI - 1.29–9.42), no DM/HTN family history (aOR - 1.51; 95% CI - 0.66–1.54), psychological domain score reduction (aOR - 0.97; 95% CI - 0.95–0.99) and environmental domain score reduction (aOR - 0.96; 95% CI - 0.94–0.98) were significant predictors of anxiety.

Conclusion:

Nearly one-fifth had depression and more than one-tenth had anxiety among the participants. A fair number of persons with HTN/DM have higher anxiety and depressive scores and most domains had a poor QOL score with depression alone having associated with a depression/anxiety family history.

Keywords

Depression
Anxiety
Quality of life
Diabetes mellitus
Hypertension

INTRODUCTION

Hypertension (HTN) is one of the most frequent causes of death and disability across the globe. In India, HTN is prevalent in roughly 24% males and 21.3% females, according to the National Family Health Survey-5 2019–21 report.[1] Diabetes mellitus (DM) affects an estimated 285 million people globally which may surpass 500 million by 2030, with Asia bearing the major brunt of the “diabetes epidemic.”[4,20] India is now considered the “diabetes capital of the world,” reporting 72.9 million (8.8% of the adult population) cases of DM in 2017, according to the International Diabetes Federation.[2] Mental health disorders lead in the fifth position among the causes of years of healthy life lost due to disabilities (YLDs) and disability-adjusted life years (DALYs), accounting for 22.9% and 7.4% respectively.[6,20] People with DM and HTN are more likely to suffer from depression or anxiety.[7] They tend to utilize more healthcare resources and have a poor quality of life (QOL) if their ailments are not properly managed.[7] Depression affects an estimated 350 million individuals worldwide, with a lifetime risk of 7%.[3] Anxiety is also prevalent as it is the sixth most common cause of disability when considering YLDs alone globally.[6] The National Mental Health Survey (NMHS) of India (2015–16) showed the lifetime prevalence of depression and anxiety was 5.1% and 3.1% respectively.[8]

Persons with mild or moderate depression/anxiety continue their daily lives without much disruption, thus being overlooked by healthcare systems. Studies on individuals seeking help from primary care settings have shown the anxiety prevalence varying from 15% to 44%, and 33 to 83% were suffering from depression.[5,8] National program for prevention and control of cancer, diabetes, cardiovascular disease and stroke recently attempted to broaden the community’s understanding of successful non-communicable disease (NCD) prevention, detection, referral, and treatment measures. Although linking NCD care with ongoing interventions of the National Mental Health Program has been considered under primary healthcare infrastructure, we are very far from achieving it nationwide.[1]

The presence of chronic multiple comorbidities has important implications for the QOL and patient well-being which is currently under-addressed in our primary healthcare settings.[11,12] This study aims to determine the proportion of depression and anxiety disorders and their association with socio-demographic, NCD-related factors as well as the QOL among persons with DM/HTN residing in rural field practice areas and availing treatment at JIPMER Rural Health Centre (JIRHC), Puducherry.

MATERIALS AND METHODS

This is a facility-based cross-sectional analytical study done in JIPMER Rural Health Center, Puducherry providing services in four villages with around 10000 residents namely Ramanathapuram, Thondamanatham, Thutipet, and Pillayarkuppam.[74] In September 2019, 704 people enrolled at the NCD clinic for treatment of diabetes, HTN, or both, all of them were approached for the study. The study was conducted on the NCD clinic days – Wednesdays and alternate Tuesdays.[75] Persons showing symptoms of mental health problems were referred to the psychiatry clinic in JIRHC, held once fortnightly on Wednesdays which is attended by the Psychiatry faculty of JIPMER. All persons aged ≥30 years who were diagnosed with DM, HTN, or both, residing in rural field practice areas and getting treatment from JIRHC were included in the study. By the time a person reaches his/her thirties, if there is a higher risk of having an NCD like Type II DM or HTN, they would have been incorporated into the JIRHC NCD clinic by the healthcare workers. Anticipating a similar anxiety disorder prevalence of 19.1% among those with DM and HTN in a hospital-based study by Kulkarni et al., (2012), the sample size was calculated in OpenEpi Version 3.0 as 659 with 95% confidence interval (CI) and 3% absolute precision.[10] Considering 5% non-response rate, 692 participants consented to participate in the study.

The 692 participants also include those with pre-existing psychiatric conditions. Those with severe psychiatric conditions while those with physical disabilities such as speech and hearing impairment were interviewed with the help of their relatives taking care of the person’s health needs. A proforma containing socio-demographic details and NCD-related history were collected following which Hospital Anxiety and Depression Scale (HADS) questionnaire containing 14 items was used to screen for depression and anxiety disorders among respondents within the last 1 week. A one-week assessment was done to identify and manage short-term fluctuations in depression and anxiety symptoms appropriately.[87] The total score of HADS ranges from 0 to 21, with 0–7 indicating no depression or anxiety, 8–10 mild, 11–14 moderate, and 15–21 severe.

The 26-item scale, World Health Organization (WHO)-QOL-BREF questionnaire was used to assess the QOL where except for the first two questions assessing the overall QOL and general health satisfaction, the remaining items are divided into four domains-Physical, psychological, social, and environmental. Raw scores were transformed statistically to make them identical to the WHOQOL-100 scores. The revised scores were then used in the analysis.

Both HADS and WHO-QOL-BREF questionnaires were validated and pre-tested in the study setting prior to the study in the local language.[76-87] The interview of each participant didn’t last for more than 45 min (15 min for HADS and WHOQOL-BREF questionnaire administration respectively).

Ethical approval

The scientific and ethical aspects of the study were approved by both the Post-graduate Research Monitoring Committee and the Institute Ethics Committee (JIP/IEC/2019/418). All participants signed in the informed consent form outlining the purpose of the study after a thorough explanation in the local language (Tamil). The consent for those with physical disabilities or severe psychiatric co-morbidities were sought from their relatives/caregivers.

Study procedure

Data collection was done by principal investigator (PI) alone from May 2020 to September 2021. The list of all persons with DM, HTN, or both in the rural field practice area of JIPMER and receiving treatment in JIRHC from the NCD clinic register. After obtaining written informed consent and interviewing for the collection of socio-demographic data, the study participants completed filling out the Hospital Anxiety and Depression scale as well as WHO-QOLBREF questionnaires’ responses on their own during their NCD clinic visit. A maximum of ten persons were given the questionnaires per clinic day. Any study participants identified with depression or anxiety symptoms (i.e., HADS ≥8 in the depression/anxiety subset of questions within the last 1 week) or severe deterioration in QOL in any domain within the last 4 weeks were referred to the psychiatry clinic for in-depth evaluation. Persons diagnosed with depression/ anxiety disorders in psychiatry clinic were motivated to follow psychiatry advice in subsequent NCD clinic visits.

Statistical analysis

Data entry was done in EpiCollect v5.0 application, and analysis was performed on the STATA software v14.0. Variables were summarized as the proportion of persons having DM, HTN, or both with depression and the proportion of persons having DM, HTN, or both with anxiety with 95% CI.

Categorical variables such as age, gender, education, per capita monthly income, occupation, family history of depression/ anxiety, duration of DM/HTN, tobacco use within the last month, alcohol use within the last year, complications of DM/ HTN diagnosed, and other comorbidities were summarized as frequency with percentages. The WHO-QOL-BREF items scores are summarized as median and interquartile range. Chi-squared test of proportion was employed to determine whether socio-demographic and NCD-related factors were associated with depression/anxiety. Wilcoxon rank-sum test was used to test the association among QOL and depression/ anxiety. The relationship between socio-demographic, NCD-related characteristics, QOL, and depression/anxiety symptoms was estimated using binary logistic regression and reported as adjusted odds ratio (aOR) with 95% CI. Variables with a P < 0.2 in univariate analysis were included in the multivariate regression model.

RESULTS

A total of 692 persons with a mean age (standard deviation, SD) of 55.3 (12.9) years were interviewed. Around 58% of participants were females, 284 (41.1%) had no formal education, and 117 (16.9%) were widowed. About 222 (32.1%) had both DM and HTN. Among the 383 persons having DM, the median (interquartile range, IQR) duration since the diagnosis of DM was 6 (5,9) years, while in 531 persons having HTN, it was 6 (4,10) years. Around 105 (15.5%) persons were having any known complications of DM, HTN or both, and 301 (43.5%) were unaware of any DM/HTN family history. Around half of the individuals had first-degree relatives with a depression/anxiety history. The median (IQR) domain-wise scores in physical, psychological, social and environmental domains (WHO-QOL-BREF) were 56 (44,63), 50 (44,69), 56 (44,69), and 56 (44,69) respectively [Table 1]. Nearly 123 (17.8%) persons had symptoms of depression, with 84 (12.2%) having mild, 26 (3.8%) having moderate, and 13 (1.9%) having severe depression, whereas 88 participants had symptoms of anxiety (12.7%), of which 73 (10.6%) had mild, 12 (1.7%) had moderate, and 3 (0.4%) had severe anxiety [Table 2]. Of all the participants interviewed, 12 of them had both depression and anxiety.

Table 1: Distribution of baseline characteristics among study participants (n=692).
Characteristic Total number of participants n(%)
Age in years (Mean [SD]) 55.3 (12.9)
Gender
  Female 402 (58.1)
  Male 290 (41.9)
Education
  No formal education 284 (41.0)
  Primary (1st–4thstandard) 82 (11.8)
  Secondary (5th–10 standard) 184 (26.6)
  Higher secondary (11th–12 standard) 118 (17.1)
  Graduate and above 24 (3.5)
Occupation
  Employed 301 (43.5)
  Homemaker 274 (39.6)
  Unemployed 117 (16.9)
Socio-economic statusa
  Lower class (<1050 INR) 151 (21.8)
  Lower middle class (1051–2101 INR) 70 (10.1)
  Middle class (2102–3503 INR) 136 (19.7)
  Upper middle class (3504–7007 INR) 284 (41.0)
  Upper class (>7008 INR) 51 (7.4)
Name of the village
  Ramanathapuram 234 (33.8)
  Thondamanatham 179 (25.9)
  Thutipet 49 (7.1)
  Pillayarkkuppam 230 (33.2)
Marital status
  Married 553 (79.9)
  Widowed 117 (16.9)
  Unmarried 13 (1.9)
  Separated 9 (1.3)
Comorbidities managed in NCD clinic
  DM alone 161 (23.3)
  HTN alone 309 (44.6)
  Both DM and HTN 222 (32.1)
Duration of DM in years (Median [IQR]) (n=383) 6 (5,9)
Duration of HTN in years (Median [IQR]) (n=531) 6 (4,10)
Any known complications of DM and/or HTN
  Present 105 (15.2)
  Absent 587 (84.8)
Complications of DM and/or HTN (n=105)
  Neuropathy 51 (48.6)
  Coronary artery disease 26 (24.8)
  Peripheral vascular occlusive disease 19 (18.0)
  Other complicationsb 9 (8.6)
Other comorbidities diagnosedc
  Psychiatric disorders
    Major depressive disorder 9 (1.3)
    Alcohol use disorder 4 (0.6)
    Psychosis – not otherwise specified 4 (0.6)
    Others psychiatric morbiditiesd 8 (1.2)
Respiratory diseases
  Bronchial asthma 54 (7.8)
  Chronic obstructive pulmonary disease 6 (0.8)
Endocrinological disorders
  Hypothyroidism 15 (2.2)
  Hyperthyroidism 2 (0.3)
  Graves’ disease 2 (0.3)
Other disorders
  Sensorineural hearing loss 6 (0.9)
  Epilepsy 6 (0.9)
  Rheumatic heart disease with mitral stenosis 4 (0.6)
  Otherse 18 (2.6)
Family history of DM or HTN
  DM 154 (22.3)
  HTN 229 (33.1)
  Other non-communicable diseases 58 (8.4)
  No known history of non-communicable diseases 301 (43.5)
Family history of depression or anxiety disordersf
  Depression 8 (1.2)
  Anxiety disorders 3 (0.4)
  Other psychiatric illnesses 37 (5.3)
  No known history of psychiatric illnesses 644 (93.1)
Current tobacco use
  Smokeless tobacco 53 (7.7)
  Bidi 11 (1.6)
  No 628 (90.7)
Current alcohol use
  Yes 136 (19.6)
  No 556 (80.4)
QOL domains/items scoresg(Median [IQR])
  Item 1: Overall QOL 3 (3,4)
  Item 2: Overall health satisfaction 3 (3,4)
  Physical domain 56 (44,63)
  Psychological domain 50 (44,69)
  Social domain 56 (44,69)
  Environmental domain 56 (44,69)

HTN: Hypertension, DM: Diabetes mellitus, QOL: Quality of life, IQR: Interquartile range, SD: Standard deviation, aModified B.G. Prasad (2019), bOther complications diagnosed include diabetic retinopathy (5), recurrent foot ulcer (2), and chronic kidney disease (1), cMultiple responses possible, dOther psychiatric morbidities – bipolar affective disorder (6) and somatoform disorder (2), eOther comorbidities diagnosed – senile cataract (10), dyslipidemia (6), Parkinson’s disease (2), fRestricted to first-degree relatives, gBased on response to WHO-QOL-BREF scores,

Table 2: Distribution of depression and anxiety among study participants (n=692).
HADS score No. of participants n(%) 95% confidence interval
Depression
  No depression (HADS score of 0–7) 569 (82.2) 80.4–86.1
  Depression (HADS score ≥8) 123 (17.8) 13.8–22.4
Anxiety
  No anxiety (HADS score of 0–7) 619 (87.3) 84.6–89.7
  Anxiety (HADS score ≥8) 73 (12.7) 9.5–16.7

HADS: Hospital anxiety and depression scale

In the univariate analysis, factors associated with depression included age in years, gender, education, occupation, monthly income, marital status, comorbidities managed by NCD clinic, duration of DM in years, duration of HTN in years, complications caused by DM or HTN or both, number of comorbidities, family history of DM/HTN or depression/anxiety, current tobacco use, and current alcohol use, as well as all QOL domains. Further, in the multivariate regression analysis, the associated factors for depression were persons with increasing age with an odds ratio of 0.97 (95% CI: 0.95–0.99), depression/anxiety family history with an odds ratio of 2.58 (95% CI: 1.26–5.26), reduction in overall QOL with an odds ratio of 0.76 (95% CI: 0.67–0.97), and decrease in social domain with an odds ratio of 0.98 (95% CI: 0.97–0.99) [Table 3]. Meanwhile, for multivariate analysis, the factors associated with anxiety were those who are not educated with an odds ratio of 10.84 (95% CI: 4.54–25.86), homemakers with an odds ratio of 3.49 (95% CI: 1.29–9.42), DM/HTN family history with 1.51 higher odds ratio (95% CI: 0.66–1.54), and decrease in psychological domain score (aOR: 0.97; 95% CI: 0.95–0.99) as well as environmental domain score (aOR: 0.96; 95% CI: 0.94–0.98) [Table 4].

Table 3: Association between Socio-demographic, NCD-related characteristics, and QOL scores on depression among study participants (n =692).
Characteristic Total number of participants n (%) Depression n (%) Univariate analysis
OR (95% CI)
Multivariable analysis
aOR (95% CI)
Multivariable
analysis (P-value)
Absent (n=569) Present (n=123)
Age in years (Mean [SD]) 692,(100.0) 55.7(12.8) 53.4(13.8) 0.98 (0.97–1.00) 0.97 (0.95–0.99) 0.030
Gender
  Female 402 (58.1) 330 (58.0) 72 (58.6) 1.22 (0.66–2.27) 0.76 (0.36–1.61) 0.483
  Male 290 (41.9) 239 (42.0) 51 (41.5) Ref Ref
Education
  Not educated 284 (41.0) 237 (41.6) 47 (38.2) Ref Ref
  Educated 408 (59.0) 322 (58.4) 76 (61.8) 1.15 (0.77–1.72) 1.28 (0.68–2.45) 0.443
Occupation
  Employed 301 (43.5) 252 (44.3) 49 (39.8) 0.71 (0.42–1.22) 0.76 (0.41–1.42) 0.403
  Homemaker 274 (39.6) 225 (39.5) 49 (39.8) 0.80 (0.47–1.37) 1.03 (0.42–2.51) 0.935
  Unemployed 117 (16.9) 92 (16.2) 25 (20.4) Ref Ref
Monthly income
  >7008 51 (7.4) 44 (7.7) 7 (5.7) Ref Ref
  1051–7007 490 (70.8) 404 (71.0) 86 (69.9) 1.33 (0.58–3.07) 1.02 (0.43–2.45) 0.959
  <1050 151 (21.8) 121 (21.3) 30 (24.4) 1.56 (0.64–3.80) 1.52 (0.58–3.97) 0.392
Marital status
  Married 553 (79.9) 461 (81.0) 92 (74.8) Ref Ref
  Not married 139 (20.1) 108 (19.0) 31 (25.2) 1.44 (0.91–2.27) 1.23 (0.43–3.51) 0.173
Comorbidities under NCD clinic
  DM alone 161 (23.3) 137 (24.1) 24 (19.5) Ref Ref
  HTN alone 309 (44.6) 256 (44.9) 53 (43.1) 1.18 (0.69–1.99) 1.84 (0.83–4.10) 0.277
  Both 222 (32.1) 176 (30.9) 46 (37.4) 1.49 (0.87– 2.56) 1.42 (0.75–2.72) 0.132
  Duration of DM in years (Median [IQR]) 383 (55.3) 6 (5,9) 5 (2,8) 0.98 (0.94–1.03)
  Duration of HTN in years (Median [IQR]) 531 (76.7) 6 (5,10) 5 (2,8) 0.99 (0.94–1.01) 0.95 (0.90–1.01) 0.097
Complications due to DM and/or HTN
  Yes 105 (15.2) 80 (14.1) 25 (20.3) 1.38 (0.38–3.60) 1.71 (0 0.92–3.16) 0.086
  No 587 (84.8) 489 (85.9) 98 (79.7) Ref Ref
No. of comorbidities
  <2 335 (48.4) 283 (49.7) 52 (42.3) Ref Ref 0.996
  ≥2 357 (51.6) 286 (50.3) 71 (57.8) 1.35 (0.91–2.00) 0.99 (0.54–1.83)
Family history of DM or HTN
  Present 333 (48.1) 269 (47.3) 64 (52.0) 0.83 (0.56–1.22) 0.84 (0.54–1.32) 0.461
  Absent 359 (51.9) 300 (52.7) 59 (48.0) Ref Ref
Family history of depression or anxiety disorders
  Present 48 (9.9) 33 (5.8) 15 (12.2) 2.25 (1.18–4.29) 2.58 (1.26–5.26) 0.009
  Absent 644 (90.1) 536 (94.2) 108 (87.8) Ref Ref
Current tobacco use
  Yes 64 (9.2) 48 (8.4) 16 (13.0) 1.62 (0.88–2.96) 0.86 (0.38–1.94) 0.728
  No 628 (90.8) 521 (91.6) 107 (87.0) Ref Ref
Current alcohol use
  Yes 136 (19.6) 115 (20.2) 21 (17.1) 1.23 (0.74–2.05) 1.51 (0.66–3.47) 0.322
  No 556 (80.4) 454 (79.8) 102 (82.9) Ref Ref
QOL scores
  Overall QOL 692 (100.0) 3 (3,4) 3 (2,4) 0.69 (0.57–0.84) 0.76 (0.60–0.97) 0.030
  Overall health satisfaction 3 (3,4) 3 (2,4) 0.89 (0.74–1.07) 1.21 (0.95–1.55) 0.105
    Physical domain 56 (44,63) 50 (38,63) 0.98 (0.97–0.99) 1.01 (0.98–1.03) 0.275
    Psychological domain 56 (44,69) 50 (38,63) 0.97 (0.96–0.99) 1.00 (0.98–1.02) 0.826
    Social domain 56 (44,69) 50 (31,56) 0.98 (0.97–0.99) 0.98 (0.97–0.99) 0.049
    Environmental domain 56 (50,75) 50 (38,63) 0.97 (0.96– 0.98) 0.98 (0.96–1.00) 0.078

Pseudo R2: 0.2965, aOR: adjusted odds ratio, CI: Confidence interval, NCD: Non-communicable diseases, DM: Diabetes mellitus, HTN: Hypertension, QOL: Quality of life, SD: Standard deviation

Table 4: Association between socio-demographic, NCD-related characteristics, QOL scores, and anxiety among study participants (n=692).
Characteristic Total number of participants n (%) Anxiety n(%) Univariate analysis OR (95% CI) Multivariable analysis aOR (95% CI) Multivariable analysis (P-value)
Absent (n=604) Present (n=88)
Age in years (Mean [SD]) 692 (100.0) 55.2 (12.9) 55.9 (13.6) 1.00 (0.98–1.02)
Gender
  Female 402 (58.1) 357 (59.1) 45 (51.1) 1.38 (0.88–2.16) 0.95 (0.48–1.87) 0.903
  Male 290 (41.9) 247 (40.9) 43 (48.9) Ref Ref
Education
  Not educated 284 (41.0) 237 (41.6) 47 (38.2) 3.91 (2.91–6.97) 10.84 (4.54–25.86) <0.001
  Educated 408 (59.0) 322 (58.4) 76 (61.8) Ref Ref
Occupation
  Employed 301 (43.5) 252 (44.3) 70 (79.5) 0.60 (0.31–1.14) 1.32 (0.67–2.57) 0.420
  Homemaker 274 (39.6) 225 (39.5) 15 (17.1) 0.91 (0.50–1.66) 3.49 (1.29–9.42) 0.014
  Unemployed 117 (16.9) 92 (16.2) 3 (3.4) Ref Ref
Monthly income
  >7008 51 (7.4) 48 (7.9) 3 (3.4) Ref Ref
  1051–7007 490 (70.8) 424 (70.2) 66 (75.0) 2.49 (0.75–8.23) 2.13 (0.62–7.39) 0.230
  <1050 151 (21.8) 132 (21.8) 19 (21.6) 2.30 (0.65–8.13) 2.36 (0.61–9.10) 0.210
Marital status
  Married 553 (79.9) 487 (80.6) 66 (75.0) Ref Ref
  Not married 139 (20.1) 117 (19.4) 22 (25.0) 1.38 (0.82–2.30) 0.97 (0.50–1.88) 0.938
Comorbidities under NCD clinic
  DM alone 161 (23.3) 144 (23.8) 17 (19.3) 1.59 (0.85–2.94) 0.79 (0.37–1.69) 0.550
  HTN alone 309 (44.6) 273 (45.2) 36 (40.9) 1.12 (0.60–2.06) 0.97 (0.39–2.36) 0.949
  Both 222 (32.1) 187 (31.0) 35 (39.7) Ref Ref
  Duration of DM in years (Median [IQR]) 383 (55.3) 6 (5,9) 6 (4,8) 1.01 (0.97–1.06)
  Duration of HTN in years (Median [IQR]) 531 (76.7) 6 (4,10) 6 (4,10) 1.02 (0.98–1.06) 1.03 (0.97–1.08) 0.298
Complications due to DM and/or HTN
  Yes 105 (15.2) 87 (14.4) 18 (20.5) 1.53 (0.87–2.69) 1.24 (0.61–2.53) 0.545
  No 587 (84.8) 517 (85.6) 70 (79.5) Ref Ref
No. of comorbidities
  <2 335 (48.4) 301 (49.8) 34 (38.6) Ref Ref 0.225
  ≥2 357 (51.6) 303 (50.2) 54 (61.4) 1.58 (0.99–2.49) 1.55 (0.76–3.16)
Family history of DM or HTN
  Present 333 (48.1) 292 (48.4) 41 (46.6) Ref Ref 0.001
  Absent 359 (51.9) 312 (51.6) 47 (53.4) 1.57 (0.68–1.68) 1.51 (0.66–1.54)
Family history of depression or anxiety disorders
  Present 48 (9.9) 39 (6.5) 9 (10.2) 1.65 (0.77–3.54) 2.25 (0.96–5.21) 0.059
  Absent 644 (90.1) 565 (93.5) 79 (89.8) Ref Ref
Current tobacco use
  Yes 64 (9.2) 52 (8.6) 12 (13.6) 1.68 (0.85–3.28) 0.58 (0.24–1.38) 0.219
  No 628 (90.8) 552 (91.4) 76 (86.4) Ref Ref
Current alcohol use
  Yes 136 (19.6) 121 (20.0) 15 (17.1) 1.21 (0.87–2.19)
  No 556 (80.4) 483 (80.0) 73 (82.9) Ref
QOL scores
  Overall QOL 692 (100.0) 3 (3,4) 3 (2,4) 0.75 (0.59–0.93) 0.94 (0.71–1.24) 0.668
  Overall health 3 (3,4) 3 (2,4) 0.85 (0.68–1.06) 1.02 (0.77–1.35) 0.883
  Satisfaction
    Physical domain 56 (44,63) 50 (44,56) 0.98 (0.96–1.00) 1.02 (0.99–1.04) 0.187
    Psychological domain 56 (44,69) 50 (38,56) 0.96 (0.95–0.98) 0.97 (0.95–0.99) 0.027
    Social domain 56 (44,69) 50 (31,69) 0.98 (0.97–0.99) 1.01 (0.99–1.02) 0.317
    Environmental domain 56 (50,75) 50 (38,56) 0.97 (0.96–0.98) 0.96 (0.94–0.98) 0.004

Pseudo R2: 0.3423, aOR: adjusted odds ratio, CI: Confidence interval, NCD: Non-communicable diseases, DM: Diabetes mellitus, HTN: Hypertension, QOL: Quality of life, SD: Standard deviation, OR: Odds ratio, IQR: Interquartile range

All 216 persons who got HADS scores ≥8 were referred to the psychiatry clinic for further evaluation. About 191 (88.42%) of them were diagnosed with depression/anxiety disorders and started on clinical management. The median number of visits (IQR) done in RHC after diagnosis was 4 (2, 5), though some participants had to rely on other nearby healthcare facilities providing psychiatric services owing to the COVID-19 restrictions [Table 5].

Table 5: Distribution of persons with depression or anxiety disorders screened was put on psychiatric care at psychiatry clinic (n=216).
Psychiatric illness screened HADS score≥8 (n=216) (%) Started on clinical management (n=191) (%)
Depression 123 (17.8) 103 (83.7)
Anxiety 88 (12.7) 88 (100.0)

HADS: Hospital anxiety and depression scale

DISCUSSION

In the NCD clinic, 17.8% of respondents who have had depressive symptoms (95% CI: 13.8–22.4%). Studies done in various primary healthcare centers showed depression prevalence between 21% and 40.5% suggesting that one-fifth of the patients were depressed as found in the present study.[11,13-16,25,41,43,53,55,59] The depression prevalence among Puducherry’s general population was lesser to the proportion reported in this study.[8,72]

The proportion of anxiety reported at 12.7% (95% CI: 9.5–16.7%) was lesser than in other studies done in a similar setting in India.[6,8,11,15-16,35-38] Anxiety prevalence ranged from 3% to 60% of people with DM, HTN, or both in multicentric studies, indicating a huge heterogeneity.[6,8-9,11,25,28-34,36,38,41,51,57] This heterogeneity across various studies could be due to the variation in assessment tools, population characteristics, sampling variability, and methodological variations.

In this study, individuals with depression had a higher average age of 53 years (SD = 13.8) compared to those without depression. Studies on older people have shown that depression is the most prevalent Common Mental Disorder.[6,17,21,61,66] Further, studies conducted outside India suggest older people are more prone to developing depression compared with younger people.[19,30,31,51,66] Of those with anxiety, 17.1% were homemakers, adding to the evidence from various studies done in India and elsewhere, likely due to the inherent high risk for female gender among anxiety disorders.[9,24,26,27,38,44-45,52] Statistically, no association between gender and depression was noticed in this study; though depression is twice as common among women with DM/HTN than in males.[3,18,30] Female endocrinological peculiarities, societal pressures, and gender-restricted work roles might explain this association.[11,16,25]

Characteristics like educational status, occupation, monthly income, and marital status are associated with depression in multiple studies done in India and elsewhere, although not in present study.[6,8,11,18,23,25,35,36,38,50,56,67] Of those reported with anxiety, 38.2% never had formal education, supporting studies done worldwide and in India suggest persons with a lower educational status were more likely to have anxiety.[16,22,25,40,42,44,48,75] Based on the above studies it is likely that people with low educational levels may have fewer employment and income opportunities, resulting in financial insecurity and anxiety. With their limited health literacy, which can further lead to anxiety about understanding and managing their health. Less than half of the study participants reported having a DM/HTN family history, suggesting a lack of knowledge about NCDs. Over 53.4% of people without a DM/HTN family history feel anxious, according to Indian studies, contrary to the current study’s suggestion of an association between having no DM/HTN family history and anxiety.[3,44] However, a Nepal study indicated anxiety was associated with a family history of NCDs.[42] This disparity may be due to differences in the healthcare systems across nations and methodological variations.[42]

Depression was not associated with the DM/HTN duration in this study, as Raval et al. (2010) reported.[68] However, a Bahrain study identified a correlation between anxiety and depression with duration of NCDs.[37] In RHC, those who require a longer duration of DM/HTN management will be followed up in a higher facility; thus, most regular patients attending the NCD clinic at the center are recently diagnosed cases of DM/HTN. Although current tobacco and alcohol usage was not significantly associated with depression or anxiety in this study, DM/HTN patients consuming tobacco or alcohol are more likely to develop depression and anxiety than those who do not (Katon et al., 2004; Saleh et al., 2014; Hassan et al., 2019).[69-71] Although these studies show tobacco and alcohol use may not independently contribute to depressive or anxiety symptoms, their duration, frequency, or severity of use can make persons suffering from type II DM or HTN more likely to develop these mental health problems. Meanwhile, family history of depressive symptoms or anxiety was under-reported because of a lack of knowledge or stigma since literature suggests depression or anxiety are more common in those with a family history.[18,42,63] Although the present study has not shown significance, comorbidities managed in the NCD clinic, complications due to DM/HTN or both, and presence of multiple comorbidities were associated with depression in various studies in India and countries like Bangladesh, Pakistan, and United Kingdom.[6,11,25,35,36,38,39,51,52,54,61]

Both depression and anxiety led to lower QOL scores in our study [Tables 3 and 4]. Other studies had lower scores across all the domains under the QOL when assessed using the WHO-QOL-BREF questionnaire.[16,54,62,64] Studies outside India also had low QOL scores among persons with depression.[7,49,65,69] DM duration and QOL were not associated with each other in the CODE-2 trial.[54,61,65] Another study using the EQ-5D-5L instrument reported anxiety/depression among 35% of respondents, whereas pain or discomfort was indicated by 53%.[54]

Compared with other studies, our study population had a better median follow-up visits (IQR) of 4 (2,5) clinics due to better mobilization of patients by Accredited Social Health Activists and healthcare facilities’ proximity.[47,58,60,73] Patients who suffer from common mental disorders such as depression or anxiety are more likely to be non-compliant with their treatment.[46,49,60,61,65] The study’s strengths include the following: (i) the prevalence of depression and anxiety disorders among participants was assessed using a comprehensive screening tool, and (ii) data entry via a mobile application with inbuilt checks minimizes data entry errors. The limitation of the study was not gathering data from a comparison group of healthy individuals, and medical conditions (e.g., treatment status, drugs taken, etc.) and glycemic status (as well as blood pressure) were not assessed objectively.

CONCLUSION

Nearly one-fifth of participants have depression and more than one-tenth of anxiety among persons with DM, HTN, or both in this study. Therefore, regular screening of common mental disorders is required, along with prompt referral to a psychiatry clinic for those diagnosed. In conclusion, our study highlights the complex interplay between chronic diseases like type II DM, HTN, and mental illness such as depression and anxiety, leading to a significant impact on an individual’s QOL. Our findings suggest that the co-occurrence of chronic diseases and mental illnesses, like depression and anxiety, can lead to a range of physical and psychosocial impairments that ultimately affect the QOL. This underscores the importance of taking a more holistic, patient-centered approach to healthcare that addresses both physical and psychological health needs to improve outcomes. In particular, our study highlights the need for healthcare providers to be aware of the potential deleterious effects of chronic diseases and mental illness on QOL and to incorporate screening and assessment tools, such as the HADS and the QOL (WHOsQOL-BREF) questionnaire, into routine clinical practice. Better screening and identification of mental illness, in conjunction with effective management of chronic diseases, can help reduce the negative impact on QOL and improve overall outcomes in these patients. Therefore, integrated care that takes into account both physical and mental health should be prioritized in clinical practice and public health initiatives to address the burden of chronic diseases and mental health disorders.

Acknowledgments

We thank all the participants who co-operated for this study.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Financial support and sponsorship

Nil.

References

  1. , . National mental health programme-optimism and caution: A narrative review. Indian J Psychol Med. 2018;40:509-16.
    [CrossRef] [PubMed] [Google Scholar]
  2. , , , . Original research article prevalence of common mental disorders among patients with diabetes mellitus and hypertension in an urban East Delhi slum-a cross-sectional study. TJP. 2015;1:27-31.
    [Google Scholar]
  3. , . Prevalence of depression among hypertensive patients attending a rural health center in Kanyakumari. Natl J Community Med. 2020;10:172-5.
    [Google Scholar]
  4. , , , . Factors associated with anxiety and depression among Type 2 diabetes outpatients in Malaysia: A descriptive cross-sectional single-centre study. BMJ Open. 2014;4:e004794.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , , et al. Co-existing non-communicable diseases and mental illnesses amongst the elderly in Punjab, India. Eur Endocrinol. 2019;15:106-12.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , . Quality of life, depression, and healthcare resource utilization among adults with Type 2 diabetes mellitus and concomitant hypertension and obesity: A prospective survey. Cardiol Res Pract. 2012;2012:404107.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , . Depression, anxiety, and stress among rural South Indian women-prevalence and correlates: A community-based study. J Neurosci Rural Pract. 2020;11:78-83.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. Depression and anxiety among individuals with medical conditions during the COVID-19 pandemic: Findings from a nationwide survey in Bangladesh. Acta Psychol (Amst). 2021;220:103426.
    [CrossRef] [PubMed] [Google Scholar]
  9. . Introduction, Administration, Scoring and Generic Version of the Assessment Field Trial Version December 1996 Programme on Mental Health World Health Organization. Geneva: World Health Organization; Available from: https://www.who.int/publications/i/item/WHOQOL-BREF [Last accessed on 2022 Feb 20]
    [Google Scholar]
  10. , , , , , . Psychiatric co-morbidities among patients with select non-communicable diseases in a coastal city of South India. Int J Prev Med. 2014;5:1139-45.
    [Google Scholar]
  11. . Time to Deliver: Meeting NCD Targets to Achieve Sustainable Development Goals in Europe Integrating the Prevention. In: Treatment and Care of Mental Health Conditions and other Non-communicable Diseases within Health Systems Mental Health Noncommunicable Diseases Sustainable Development Goals Policy Community-Based Programmes. Available from: http://www.euro.who.int/pubrequest [Last accessed on 2022 Feb 20]
    [Google Scholar]
  12. , , , , . Prevalence of psychiatric morbidity and cognitive impairment among patients attending the rural noncommunicable disease clinic. J Neurosci Rural Pract. 2020;11:585-92.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , . Prevalence trends of depression and anxiety symptoms in adults with cardiovascular diseases and diabetes 1995-2019: The HUNT studies, Norway. BMC Psychol. 2021;9:130.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , . Association between depression, anxiety and quality of life among patients with diabetes mellitus and/or hypertension in a tertiary care railway hospital in India: A cross-sectional study. Indian J Psychiatry. 2020;62:555-8.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , . The humanistic and economic burden associated with anxiety and depression among adults with comorbid diabetes and hypertension. J Diabetes Res. 2018;2018:4842520.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , , , et al. Depression, anxiety and stress among patients with diabetes in primary care: A cross-sectional study. Malays Fam Physician. 2015;10:9-21.
    [Google Scholar]
  17. . Home. Available from: https://idf.org [Last accessed on 2022 Feb 20]
    [Google Scholar]
  18. . National Noncommunicable Disease Monitoring Survey (NNMS) 2017-18. Available from: https://www.ncdirindia.org/nnms [Last accessed on 2022 Feb 20]
    [Google Scholar]
  19. . Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204-22.
    [CrossRef] [PubMed] [Google Scholar]
  20. . Global burden of 87 risk factors in 204 countries and territories, 1990-2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1223-49.
    [CrossRef] [PubMed] [Google Scholar]
  21. . NFHS-5 India Fact Sheet. Available from: http://rchiips.org/nfhs/NFHS-5_FCTS/India.pdf [Last accessed on 2022 Feb 20]
    [Google Scholar]
  22. , , , , , . Depression and anxiety among hypertensive and diabetic primary health care patients. Could patients' perception of their diseases control be used as a screening tool? Saudi Med J. 2017;38:621-8.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , , . Prevalence of depression in Indian patients with Type 2 diabetes mellitus and/or hypertension: DEPTH study. Eur J Clin Exp Med 2019:315-25.
    [CrossRef] [Google Scholar]
  24. . Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet. 2021;398:1700-12.
    [Google Scholar]
  25. . The burden of mental disorders across the states of India: The Global Burden of Disease Study 1990-2017. Lancet Psychiatry. 2020;7:148-61.
    [Google Scholar]
  26. , , , , , , et al. An integrated community and primary healthcare worker intervention to reduce stigma and improve management of common mental disorders in rural India: Protocol for the SMART Mental Health programme. Trials. 2021;22:179.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , , et al. Prevalence and determinants of probable depression and anxiety during the COVID-19 pandemic in seven countries: Longitudinal evidence from the European COvid Survey (ECOS) J Affect Disord. 2022;299:517-24.
    [CrossRef] [PubMed] [Google Scholar]
  28. , , , , . Prevalence of anxiety, depression, and psychological distress among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Int J Soc Psychiatry. 2021;67:892-906.
    [CrossRef] [PubMed] [Google Scholar]
  29. , , , , . The global prevalence of depression, anxiety, stress, and, insomnia and its changes among health professionals during COVID-19 pandemic: A rapid systematic review and meta-analysis. Heliyon. 2021;7:e07393.
    [CrossRef] [PubMed] [Google Scholar]
  30. , , , , , , et al. Sharp increase in depression and anxiety among Brazilian adults during the COVID-19 pandemic: Findings from the PAMPA cohort. Public Health. 2021;190:101-7.
    [CrossRef] [PubMed] [Google Scholar]
  31. , , , , , , et al. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Global Health. 2020;16:57.
    [CrossRef] [PubMed] [Google Scholar]
  32. , , , , , . Anxiety and depression among outpatients with Type 2 diabetes: A multi-centre study of prevalence and associated factors. Diabetol Metab Syndr. 2010;2:72.
    [CrossRef] [PubMed] [Google Scholar]
  33. , , . Depression, anxiety, and bodily pain independently predict poor sleep quality among adult women attending a primary health center of Puducherry, India. J Family Med Prim Care. 2019;8:1182-8.
    [CrossRef] [PubMed] [Google Scholar]
  34. , , , , . Prevalence and predictors of depression and anxiety in patients of diabetes mellitus in a tertiary care center. Indian J Endocrinol Metab. 2016;20:746-51.
    [CrossRef] [PubMed] [Google Scholar]
  35. , . Correlates of anxiety and depression among patients with Type 2 diabetes mellitus. Indian J Endocrinol Metab. 2011;15:S50-4.
    [CrossRef] [PubMed] [Google Scholar]
  36. , . Depressive and anxiety symptoms after myocardial infarction: A follow-up study from South India. Malays J Psychiatry. 2012;21:1-6.
    [Google Scholar]
  37. , , , . A systematic review of reviews on the prevalence of anxiety disorders in adult populations. Brain Behav. 2016;6:e00497.
    [CrossRef] [PubMed] [Google Scholar]
  38. , . Factors associated with anxiety and depression among diabetes, hypertension, and heart failure patients at dessie referral hospital, Northeast Ethiopia. Behav Neurol. 2020;2020:3609873.
    [CrossRef] [PubMed] [Google Scholar]
  39. , , , , , , et al. Grand challenges: Integrating mental health care into the non-communicable disease agenda. PLoS Med. 2013;10:e1001443.
    [CrossRef] [PubMed] [Google Scholar]
  40. , , , , . Depression and anxiety among patients with Type II diabetes mellitus in Chitwan medical college teaching Hospital, Nepal. Nurs Res Pract. 2021;2021:8846915.
    [CrossRef] [PubMed] [Google Scholar]
  41. , , , . A study of prevalence of anxiety among patients of hypertension. J Adv Med Dent Scie Res. 2020;8:105-9.
    [Google Scholar]
  42. , , , . Prevalence of depression and associated factors among patients with Type 2 diabetes attending the diabetic clinic at a tertiary care hospital in Sri Lanka: A descriptive study. Psychiatry J. 2019;2019:7468363.
    [CrossRef] [PubMed] [Google Scholar]
  43. , , , , , , et al. Anxiety and depression among hypertensive outpatients in Afghanistan: A cross-sectional study in Andkhoy City. Int J Hypertens. 2018;2018:8560835.
    [CrossRef] [PubMed] [Google Scholar]
  44. , , , , , , et al. Psychological and cognitive profile of hypertensive and diabetic patients. J Nerv Ment Dis. 2015;203:781-5.
    [CrossRef] [PubMed] [Google Scholar]
  45. , , , . Factors affecting risk of anxiety and depression among diabetic and hypertensive patients who refer to family health centers. Int J Diabetes Dev Ctries. 2018;38:305-11.
    [CrossRef] [Google Scholar]
  46. , , . Association between anxiety or depressive symptoms and arterial hypertension, and their impact on the quality of life. Int J Psychiatry Med. 2010;40:307-20.
    [CrossRef] [PubMed] [Google Scholar]
  47. , , , , . Prevalence of anxiety in adults with diabetes: A systematic review. J Psychosom Res. 2002;53:1053-60.
    [CrossRef] [PubMed] [Google Scholar]
  48. , , , , , , et al. A systematic review and meta-analysis of the prevalence of common mental disorders in people with non-communicable diseases in Bangladesh, India, and Pakistan. J Glob Health. 2019;9:20417.
    [CrossRef] [PubMed] [Google Scholar]
  49. , , , , . Proportion of depression and its determinants among Type 2 diabetes mellitus patients in various tertiary care hospitals in Mangalore city of South India. Indian J Endocrinol Metab. 2013;17:681-8.
    [CrossRef] [PubMed] [Google Scholar]
  50. , . Health-related quality of life of patients with Type 2 diabetes mellitus at a tertiary care hospital in India Using EQ 5D 5L. Indian J Endocrinol Metab. 2019;23:407-11.
    [CrossRef] [PubMed] [Google Scholar]
  51. , , . Diabetes and depression. Curr Diab Rep. 2014;14:491.
    [CrossRef] [PubMed] [Google Scholar]
  52. , , , . Hypertension and depression. Clinics (Sao Paulo). 2005;60:241-50.
    [CrossRef] [PubMed] [Google Scholar]
  53. , . An overview of Indian research in anxiety disorders. Indian J Psychiatry. 2010;52:S210-8.
    [CrossRef] [PubMed] [Google Scholar]
  54. , , , . Coping with diabetes during the COVID-19 lockdown in India: Results of an online pilot survey. Diabetes Metab Syndr. 2020;14:579-82.
    [CrossRef] [PubMed] [Google Scholar]
  55. , , . Comparison of psychological distress and its associated factors among chronic disease and healthy subjects in rural Puducherry, India. Indian J Soc Psychiatry. 2017;33:177.
    [CrossRef] [Google Scholar]
  56. , , , . The challenge of patient adherence. Ther Clin Risk Manag. 2005;1:189-99.
    [Google Scholar]
  57. . Depression in older adults. Br J Med Pract. 2017;10:a1007.
    [Google Scholar]
  58. , , . Sociodemographic, clinical, and psychosocial factors associated with depression among Type 2 diabetic outpatients in Black Lion General Specialized Hospital, Addis Ababa, Ethiopia: A cross-sectional study. BMC Psychiatry. 2016;16:103.
    [CrossRef] [PubMed] [Google Scholar]
  59. , , , , , , et al. More co-morbid depression in patients with Type 2 diabetes with multiple complications. An observational study at a specialized outpatient clinic. Diabet Med. 2011;28:86-9.
    [CrossRef] [PubMed] [Google Scholar]
  60. , , , , , . Determinants of quality of life among people with epilepsy attending a secondary care rural hospital in south India. J Neurosci Rural Pract. 2013;4:S62-6.
    [CrossRef] [PubMed] [Google Scholar]
  61. , . Quality of life and major depression In: , , eds. Quality of Life Impairment in Schizophrenia, Mood and Anxiety Disorders. New Perspectives on Research and Treatment. Dordrecht: Springer Netherlands; . p. :241-52.
    [CrossRef] [Google Scholar]
  62. , , . An overview of Indian research in depression. Indian J Psychiatry. 2010;52:S178-88.
    [CrossRef] [PubMed] [Google Scholar]
  63. , , . Prevalence of stress, depression, anxiety and sleep disturbance among nurses during the COVID-19 pandemic: A systematic review and meta-analysis. J Psychosom Res. 2021;141:110343.
    [CrossRef] [PubMed] [Google Scholar]
  64. , , , , . Prevalence and determinants of depression in Type 2 diabetes patients in a tertiary care centre. Indian J Med Res. 2010;132:195-200.
    [Google Scholar]
  65. , , , , . Non-adherence to self-care practices & medication and health related quality of life among patients with Type 2 diabetes: A cross-sectional study. BMC Public Health. 2014;14:431.
    [CrossRef] [PubMed] [Google Scholar]
  66. , , , , , , et al. Behavioral and clinical factors associated with depression among individuals with diabetes. Diabetes Care. 2004;27:914-20.
    [CrossRef] [PubMed] [Google Scholar]
  67. , , , . Depression, anxiety and stress among obese patients with chronic illnesses: Prevalence and associated factors in North East Malaysia. Bangladesh J Med Sci. 2019;18:252-9.
    [CrossRef] [Google Scholar]
  68. , , , . Treatment attitudes and adherence of psychiatric patients with major depressive disorder: A five-year prospective study. J Affect Disord. 2010;127:102-12.
    [CrossRef] [PubMed] [Google Scholar]
  69. . About JIPMER. Available from: https://www.jipmer.edu.in/about-us/about-jipmer [Last accessed on 2022 Feb 20]
    [Google Scholar]
  70. . Department of Preventive and Social Medicine: Services. Available from: https://www.jipmer.edu.in/department/preventive-and-social-medicine/services [Last accessed on 2022 Feb 20]
    [Google Scholar]
  71. Department of Health and Family Welfare Services, Government of Puducherry, India. Services. Available from: https://health.py.gov.in/services [Last accessed on 2022 Feb 20]
    [Google Scholar]
  72. . mhGAP: Mental Health Gap Action Programme: Scaling up Care for Mental. Neurological and Substance use Disorders. Available from: https://www.ncbi.nlm.nih.gov/books/NBK310851 [Last accessed on 2022 Feb 20]
    [Google Scholar]
  73. , , . Association between low educational level and anxiety in adult population of Vadodara city. Clin Epidemiol Glob Health. 2020;8:390-4.
    [Google Scholar]
  74. , , , , , , et al. Depression among postpartum women, North East district, Puducherry: A cross-sectional study. Indian J Public Health. 2019;63:210-4.
    [Google Scholar]
  75. , . Why do suicides happen? Evidences from Pondicherry, India. Crisis. 2011;32:114-6.
    [Google Scholar]
  76. , , . Prehypertension and associated risk factors among resident doctors in a teaching hospital. J Clin Diagn Res. 2016;10:OC34-8.
    [Google Scholar]
  77. , , . Assessment of psychiatric morbidity and quality of life among women with breast cancer in a South Indian Population. J Health Res Rev. 2019;6:24-30.
    [Google Scholar]
  78. , , . Association between anxiety and depression and hypertension among school teachers in Puducherry. J Fam Med Prim Care. 2017;6:80-5.
    [Google Scholar]
  79. , . Perceived social support, hope, and quality of life of persons living with HIV/AIDS: A case study from Puducherry. Indian J Clin Psychol. 2014;41:120-9.
    [Google Scholar]
  80. , . Quality of life and self-differentiation among alcohol-dependent males undergoing brief intervention. Ind Psychiatry J. 2015;24:140-5.
    [Google Scholar]
  81. , , , , . Psychological distress and quality of life in spouses of patient with alcohol related disorders. Indian J Med Res. 2014;140:634-9.
    [Google Scholar]
  82. , , , , , , et al. Assessment of the quality of life among rural hypertensive subjects in Southern India. Australas Med J. 2013;6:26.
    [Google Scholar]
  83. , , , , , . Postpartum anxiety, depression, and quality of life: A cross-sectional study from a tertiary care center in North India. J Fam Med Prim Care. 2020;9:3422-8.
    [Google Scholar]
  84. , , . Living with HIV: Quality of life outcomes among PLHA in Puducherry, India. Glob J Med Public Health. 2012;1:8-18.
    [Google Scholar]
  85. , , , , , . Pre-post evaluation of a community-based intervention program for stigma reduction toward people living with HIV/AIDS in a district in South India. J Educ Health Promot. 2019;8:94.
    [Google Scholar]
  86. , , , , , . Reliability and agreement of different versions of the Hospital Anxiety and Depression Scale in a cardiac rehabilitation population. J Psychosom Res. 2017;97:116-21.
    [Google Scholar]
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