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Revista de la Facultad de Medicina Humana

Print version ISSN 1814-5469On-line version ISSN 2308-0531

Rev. Fac. Med. Hum. vol.20 no.2 Lima Apr-Jun 2020

http://dx.doi.org/10.25176/rfmh.v20i2.2881 

Original article

Prevalence and factors associated with depressive symptomatology in older adults of the “Micaela Bastidas” Health Center, Lima-Peru

Christian Ponce-Torres1 

Luigui Viteri-Condori1 

Pablo Ramos-Martínez1 

Wendy Nieto-Gutiérrez1 

Jesus Cueva-Velazco1 

1Facultad de Medicina Humana de la Universidad de San Martin de Porres, Lima - Perú.

ABSTRACT

Objective:

To evaluate the factors associated with depressive symptomatology in older adults attending to “Micaela Bastidas” health center from Lima, Peru.

Methods:

Cross-sectional analytical study in adults over 60 in a marginal urban area from Lima. We evaluated the dependent variable using the geriatric depression scale of 15 items. We considered the presence of depressive symptomatology with a score ≥ 6. We calculated the factors associated with depressive symptomatology using raw and adjusted prevalence ratios with 95% confidence intervals (95% CI) using poisson regressions with robust variance.

Results:

Of the 142 older adults (age 70.4 ± 8.14 years old), the prevalence of the presence of depressive symptomatology was 55.6% (women: 39.6% and men: 53.4%). The lack of schooling (RPa: 1.40, 95% CI: 1.04 - 1.88) and not working (RPa: 1.50, 95% CI: 1.09 - 2.05) were risk factors that increased the prevalence of depressive symptomatology.

Conclusion:

The prevalence of presence of depressive symptomatology in older adults from a marginal urban area of Peru was high. Older adults who did not complete their schooling and did not work were more likely to develop depressive symptomatology.

Key words: Depression; Old people; preventive health services (source: MeSH NLM).

INTRODUCTION

Depression is one of the most important neuropsychiatric disorders in elderly, and one of the causes of disability that diminishes physical, cognitive and social functionality, thus, it affects quality of life and wellbeing1.

By the year 2017, the World Health Organization (WHO) estimated a prevalence of depression of 7% in elderly over 602. Nevertheless, studies have reported variable figures regarding elderly with depression which differs according to the context in terms of assistance in patients in hospitalization: 32.8% in Chengdu, China3; 44% in East Anglia, United Kingdom4; 47% in Belo Horizonte, Brazil5. In outpatients: 22% in Bikaner, India6; 29.9% in Izmir, Turkey7. In primary care centers: 39.6% in Ethekwini, South Africa8; 45.3% in Kavre, Nepal9; 47.2% in Beirut, Lebanon10. In elderly from the community: 27.8% in Sri Lanka, Singapore(11); 29.5% in Antioquia, Colombia12; 36% in Bangalore, India13; 52.6% in Vitoria da Conquista, Brazil14.

Concerning factors associated with geriatric depression, we have reported in literature with most frequency the fact of being a woman8,15,16, lack of schooling15,17, cognitive impairment16,17, living single8,16, suffer from health problems18,19, previous hospitalizations19, lack of social support19,20, low socioeconomic status16, not working21,etc.

There are scales that serve as screening instruments to evaluate depressive symptomatology in geriatric population, including, Scale Geriatric Depression (GDS) created by Yesavage et al, in year 1983. It originally consists of 30 questions with dichotomous answers (yes or no)(22, This scale is frequently used in epidemiological studies of depression in elderly. In our research of Peruvian studies published about this topic that had used GDS, in his short version of 15 questions, we have mostly reported high numbers of depression. 51.6% (with a score of five or more) in an AA.HH. (short for Asentamiento Humano. Human Settlement in English) from La Molina district, Lima23; 8.4% (with a score of six or more) in the community from San Martín de Porres district, Lima24; Also, 48.2% (with a score of six or more) in the community from Breña district, Lima25; and 69.4% in the community from Masma Chicce, Junín26; 64.9% in a national hospital from Ica, Ica27In these two last studies, there is not a description about the cut-off point of GDS-15.

There are few published research about depression in elderly from marginal urban communities, taking into account their poverty situation and poor access to mental health services. This may complicate planning preventive strategies that improve early detection of depressive symptoms and maintain functionality of this age group.

For this reason, the objective of this study is to determine factors associated with depressive symptomatology in elderly living in a marginal urban area, the “AA.HH. Micaela Bastidas I” located in Ate Vitarte district in Lima, Peru.

METHODS

Design and place of study

We carried out an observational, analytic and cross-sectional study in elderly age 60 or over from AA.HH. Micaela Bastidas I in Lima, from April 2014 to July 2014.

The “AA.HH. Micaela Bastidas I” is a marginal urban area, founded on year 1985, located in Ate Vitarte district in Eastern Lima. Its inhabitants have low socioeconomic status. This town counts with a primary care center Micaela Bastidas level I-3 from MicroRed Ate II of Health Ministry.

Population and Sample

The participants were 200 60-year-old elderly in year 2014 who attended to Micaela Bastidas health center. We conducted a survey to every elderly. Among the eligibility criteria, we included elderly who were attended at “Micaela Bastidas” health center during study period and who had accepted participating through a signed informed consent. We did not include those elderly with some kind of cognitive impairment who were previously diagnosed by a doctor; information provided by health center as we can observe inFigure 1elderly responded, after a quality control we deleted four questionnaires that were incomplete. Final sample was of 142 participants, obtaining an answer from 71% of total of elderly.

Figure 1.  Inclusion diagram of participant in the study 

Procedures

The authors of the study were in charge of data collection through interviews with every elderly. We requested permission to health center “Micaela Bastidas” to interview those elderly who went to the establishment for a medical appointment. In addition, each interviewer visited three times a week the homes of “AA.HH. Micaela Bastidas” based on a street and block plan of the area. In every home, we asked if there was an elderly over 60 living inside. Participation in the study was voluntary; we informed previously about the objectives of the study and informed consent to the participants.

Variables

Dependent variable of interest was depressive symptomatology in elderly. For this purpose, we applied Yesavage et al. GDS-15 scale. We have approved and applied this scale widely with worldwide multiple population of elderly22. In this study, we applied the version translated to Spanish of Questionnaire GDS-15. It contains 15 questions in total. Each question is worth a point. Answers are dichotomous: yes or no. Of 15 points, a score over or equal to six points suggests presence of depressive symptoms28.

In terms of independent variables, we selected them from similar studies: sex; age (in tertiles); marital status was categorized into those with partner (those who were married or cohabiting partners) and without partner (single, widowers or divorced). Also, level of education into without schooling (without studies or incomplete primary) and with schooling (complete primary, secondary or higher education); origin (Lima or other cities in Peru); health problem told by the participant (yes or no); and belonging to an elderly club (yes or no).

Data analysis

We exported Database in Microsoft Excel 2010 to STATA software version 13. In the descriptive analysis, we used absolute and relative frequencies. For evaluating factors associated with depressive symptoms, we made use of poisson regressions with robust variance and we calculated prevalence ratios (PR) and its confidence interval to 95%, considering statistical significance as p<0.05. For adjusted models. We included variables: sex, age, level of education, marital status, origin, health problems and elderly club.

Ethical aspects

In this investigation, we followed ethical principles of Helsinki Declaration. Participation in the study was always voluntary. We maintained data confidentiality and participants were not exposed to any other type of risk for their contribution. We exposed previously a written and oral informed consent to participants. At the end, we handed the results to health center Micaela Bastidas.

RESULTS

In total, 142 elderly accepted to participate in the study: 67.6% were women, average age and standard deviation was 70.4±8.14. 43.7% were married. Most of the participant (85.9%) came from other cities, 69.0% expressed having a health problem and 71.8% did not belong to any elderly club. Regarding GDS-15 score, 44.4% obtained from 0 to 5 points (without depressive symptoms); 43.7%, from 6 to 10 points (risk of depressive symptomatology); and 12.0%, from 11 to 15 points (established depressive symptomatology) (Table 1).

Table 1.  Sociodemographic data and GDS-15 scale in study population (n=142) 

Variables N (%)
Sex  
Female 96 (67,6)
Male 46 (32,4)
Marital status  
Married 62 (43,7)
Partner 10 (7,0)
Divorced 13 (9,2)
Single 2 (1,4)
Widower/Widow 55 (38,7)
Level of education  
Illiterate 28 (19,7)
Incomplete Primary 38 (26,8)
Complete Primary 28 (19,7)
Incomplete Secondary 14 (9,9)
Complete Secondary 29 (20,4)
Higher Education 5 (3,5)
Origin  
Lima 20 (14,1)
Province 122 (85,9)
Health problems  
No 44 (31,0)
Yes 98 (69,0)
Belongs to an elderly club  
No 102 (71,8)
Yes 40 (28,2)
Job situation  
Not working 74 (52,1)
Working 68 (47,9)
GDS-15 score  
Normal 63 (44,4)
Risk of depressive symptomatology 62 (43,7)
Established depressive symptomatology 17 (12,0)

Regarding factors associated with having depressive symptoms (GDS-15 with a score of ≥6 points), we found in adjusted analysis the following variables: lack of schooling (RP=1.40; CI95%:1.04 - 1.88) and not working (RP: 1.50; CI95%:1.09 - 2.05). We did not discover significant association with sex, age, partner, origin, health problems and belonging to an elderly club (Table 2).

Table 2.  Factors associated to depression in elderly 

  Risk of depressive symptomatology    
Variables Without depressive symptomatology N (%) 63 (44,4%) With depressive symptomatology N(%) 79 (55,6%) Raw RPc(IC95%) Adjusted RPa(IC95%)
Sex        
Female 38 (39,6) 58 (60,4) Ref Ref
Male 25 (54,3) 21 (45,7) 0,76 (0,53 - 1,08) 0,87 (0,63 - 1,21)
Age        
Between 60 and 68 years old 34 (47,9) 37 (52,1) Ref Ref
Between 69 and 90 years old 29 (40,8) 42 (59,2) 1,14 (0,84 - 1,53) 0,99 (0,73 - 1,33)
Marital status*        
With partner 36 (50,0) 36 (50,0) Ref Ref
Without partner 27 (38,6) 43 (61,4) 1,23 (0,91 - 1,65) 1,23 (0,92 - 1,64)
Level of education        
Schooled 42 (55,3) 34 (44,7) Ref Ref
Unschooled 21 (31,8) 45 (68,2) 1,52 (1,13 - 2,06) 1,40 (1,04 - 1,88)
Origin        
Lima 12 (60,0) 8 (40,0) Ref Ref
Province 51 (41,8) 71 (58,2) 1,46 (0,84 - 2,54) 1,35 (0,85 - 2,16)
Health problems        
Does not present 24 (54,5) 20 (45,5) Ref Ref
Does present 39 (39,8) 59 (60,2) 1,32 (0,92 - 1,90) 1,18 (0,82 - 1,69)
Belongs to an elderly club        
Yes 17 (42,5) 23 (57,5) Ref Ref
No 46 (45,1) 56 (54,9) 0,95 (0,69 - 1,32) 1,10 (0,79 - 1,52)
Job situation        
Does work 39 (57,4) 29 (42,6) Ref Ref
Does not work/td> 24 (32,4) 50 (67,6) 1,58 (1,15 - 2,18) 1,50 (1,09 - 2,05)

*marital status with partner (married or cohabiting partners) and without partner (single, widower/widow or divorced) †Level of education: schooled (complete primary, secondary and higher education) and unschooled (without schooling or incomplete primary)

DISCUSSION

Percentages of depression

Of the total (142 elderly), 55.6% had higher prevalence of depressive symptomatology according to GDS-15. High figure compared with other studies that applied the same instrument and cut-off point (score greater than or equal to 6): 48.1% in Patras and Tripoli, Greece29; 45.4% in Chihuahua, Mexico30; In addition, 43% in Asunción, Paraguay31; 31.1% in Jequié, Brazil32; 29.5% in Antioquia, Colombia12; 27,8% in Sri Lanka, Singapore11; 19,7% in Guadalajara, Spain18.

In Peru, studies published have reported in 2010 in AA.HH. “Viña Alta” located in La Molina district, in Lima; in 112 elderly, that 51.6% had depression with a score of five or more24. In 2013, a study in 369 elderly from Breña district, Lima reported that 48.2% had depression with a score of six or more23. In 2012, a study carried out in 72 people from a community of Masma Chicce (Junín) stated that 69.4% presented depression25. It does not describe the score used in GDS-1526. These percentages are slightly elevated if we compare them with our study. People probably had fewer chances to be attended by medical specialists (psychiatry, internal medicinal, geriatric, etc.), along with lack of consciousness of this geriatric syndrome in elderly and their relatives. The aforementioned would explain the limited use of mental health services in elderly from marginal urban areas, due to lack of mobility, transport, distance, travel time and expenses. Since it is usual that they live in the city outskirts.

ASSOCIATED FACTORS

Partner

Although we discovered the third part of elderly without partner (single, widow/widower, divorced) had risk of depressive symptomatology, we did not find statistical significance. The fact of not having a partner was a factor significantly associated in elderly from Pakistan33, India34and Colombia35. This may be due to somatic and emotional changes that experiment elderly without a partner and with a greater tendency to present depressive episodes in ageing. Lack of statistical significance in our study maybe due to limitation in sample size of study population. We recommend carrying out more studies that evaluate this topic.

Schooling

We discovered that the fact of no having completed their schooling was associated with risk of depressive symptomatology. This result was similar to those from previous studies in elderly from South Africa8, Colombia12, Brazil17, Nepal20and Mexico20. Level of education can influence in elderly’s quality of life, since it is part of learning experiences and cognitive reserve, so that a person with a higher level of education could be an adjuvant to face stressful situations avoiding that they disrupt his/her emotional state, thus diminishing risk of depression36. In addition, we should implement strategies designed to improve level of education in elderly from marginal urban areas.

Working

In our study, elderly who did not work had higher prevalence of depression. Other studies performed in Pakistan(21)and India(37). shared this finding. Study population in our research was poor. It is probable that elderly who did not have working life live a tenser and more stressful economic situation in their homes, being more likely to suffer from depression.

Limitations

Among limitations in this study, we can mention the small sample size. It is possible that in data collection period, we did not include every single elderly, since an actual record of the total of elderly from study place did not exist. Study population was limited to only one marginal urban area from Lima city. That is why we cannot extrapolate results to other cities of Peru. Our results allow giving a perspective of what could be happening in contexts like marginal urban communities. Using GDS-15 questionnaire as screening does not allow giving an accurate diagnosis of depression. Nevertheless, it is a short compressible instrument, and we have already used it in similar studies in Peru.

CONCLUSIONS

In short, we discovered five elderly out of ten had prevalence of depressive symptoms. Prevalence of depression was high in those elderly who did not complete their schooling and those who did not work. The findings of the study aim to reflect and to carry out more studies about mental health in elderly who live in marginal urban areas. Besides, regarding health workers, the findings aim to highlight the importance of diagnosing and treating depression in elderly who seek relief for their symptoms. Likewise, planning of strategies that enhance geriatric attention in primary care centers

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Financing: Self-financed

Received: February 25, 2020; Accepted: March 19, 2020

Correspondence: Christian Ponce Torres. Address: Av. El corregidor 1531, Las Viñas, La Molina Telephone: +51 995 473 883 Email:christianfpt01@gmail.com

Authorship contributions: The authors participated in the genesis of the idea, project design, data collection and interpretation, analysis of results and preparation of the manuscript of this research work.

Conflict of interest: The authors declare that they have no conflict of interest in the publication of this article.

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