Psychological Morbidity Status Among the Rural Geriatric Population of Tamil Nadu, India: A Cross-sectional Study

doi:10.4103/0253-7176.106016

Indian J Psychol Med. 2012 Jul-Sep; 34(3): 227–231.

doi: 10.4103/0253-7176.106016

PMCID: PMC3573572

Psychological Morbidity Status Among the Rural Geriatric Population of Tamil Nadu, India: A Cross-sectional Study

N. Bayapa Reddy, M. Pallavi,¹ N. Nagarjuna Reddy, C. Sainarasimha Reddy,² Rajiv Kumar Singh, and R. A. Pirabu

Department of Community Medicine, Chennai Medical College Hospital and Research Center, Irungalur, Trichy, India

¹Department of Biochemistry, Chennai Medical College Hospital and Research Center, Irungalur, Trichy, India

²Department of Pediatrics, Kanchi Kamakoti Child Trust Hospital, Nungambakkam, Chennai, Tamil Nadu, India

Address for correspondence: Dr. N. Bayapa Reddy, Department of Community Medicine, Chennai Medical College Hospital and Research Center, Irungalur, Trichy – 621 105, Tamil Nadu, India. E-mail: bayapreddy916/at/gmail.com

This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background:

Mental health problems like depression, cognitive impairment, anxiety, sleep disorders, and so on, arising out of senility, neurosis, and living conditions are common in the geriatric population.

Aims:

To study the psychiatric morbidity among the rural elderly.

Settings and Design:

A community-based, cross-sectional study.

Materials and Methods:

A study was conducted on 800 rural elderly subjects, aged 60 years and more, living in ten randomly selected villages, served by the Rural Health Training Center (RHTC), Valadi, in Tamilnadu state, India. Cognitive functioning was assessed by the Mini Mental Status Examination (MMSE), and the depression by the Geriatric Depression Scale — Shorter version.

Statistical Analysis:

The data was analyzed with SPSS 16 version statistical software using proportions, and the chi-square.

Results:

A majority of the subjects were widows / widowers, illiterates, living with family, and showing economic dependency. The prevalence of cognitive impairment was 43.25%, with a mean MMSE score of 23.32±4.4, and the depression was 47.0% and 6.16±3.4. Cognitive impairment, depression, and a disturbed sleep pattern were associated with female sex, age, illiteracy, poverty, loneliness, and the low socioeconomic status of the family.

Conclusions:

The study showed a definite association between the sociodemographic factors and psychiatric morbidity. Encouraging the Non-governmental Organizations (NGOs) working for the elderly, running of separate geriatric clinics, and effective implementation of schemes like old age pension are some of the measures to be taken.

Keywords: Cognitive impairment, depression, geriatric, mini mental status examination

INTRODUCTION

Emergence of nuclear families, increased cost of living, and change in priorities of a family has adversely affected the elderly in India. Senility, poor health, widowhood, dependency, helplessness, and low self-esteem are the risk factors that influence both the extent and severity of mental morbidity and quality of life. Nearly four million Indian elderly are mentally ill.[1] Psychiatric morbidity, which increases with age is more prevalent in the geriatric (43.32%) than in the non-geriatric group (4.66%).[2] Prevalence of depression, the most common problem, ranges between 13 and 22%.[3] Aging declines the cognitive functioning due to senile changes. If the goal of ‘Health for All’ is to be achieved, policy makers and administrators must pay more attention to various issues of this group. In this context, the present study focuses on important mental health problems like cognitive impairment, depression, and sleep pattern abnormalities, to provide some insight into future studies.

MATERIALS AND METHODS

A community-based, cross-sectional study was conducted between June 2011 and January 2012 among 800 rural elderly subjects, aged 60 years and above (400 males and 400 females selected by proportionate sampling technique), living in ten randomly selected villages under the field practice area of RHTC, in the Tamil Nadu state of India. Eight hundred was the sample size calculated, as the minimum prevalence of morbidity among the elderly population was 35.0%, with 10.0% precision.

Folstein's Mini Mental Status Examination[4] scale was used to assess subject's cognitive functioning, in terms of orientation (time and place), attention, memory power, and literary ability. Based on the score (maximum: 30), the subjects were graded as normal (≥24), mild (20–23), moderate (10–19), and severely impaired (<10).

Yesavage's Geriatric Depression Scale — Shorter version,[5] a 15-question instrument, was used to assess whether (>5) or not (≤5) a subject was having depression, based on the scores. The subjects were categorized as Depression Absent (≤5) or Present (>5). Sleep pattern among the subjects was categorized as ‘normal’ or ‘disturbed’ (difficulty in falling asleep, reduced duration, and poor quality of sleep).

RESULTS

The majority (48.75%) were in the 60 to 69 years age group. In the ≥ 80 years age group, females (20.5%) outnumbered the males (14.5%). The overall prevalence of widowhood and illiteracy was 50.2 and 62.8%, respectively, far higher among females (67.5 and 80.5%) than males (33.0 and 45.0%) [Table 1]. The majority is currently not in any occupation (77.5%), belong to the middle (57.75%) and lower classes, including Below Poverty Level (BPL) (40.25%), and are financially dependent, partially (12.25%) or totally (40.75%); 13.75% are totally neglected by their children and are living alone.

Table 1

Sociodemographic profile of study subjects

The overall prevalence of cognitive impairment is 43.25%, more among females (51.5%), ≥ 80 age group (68.6%), illiterates (63.4%), and subjects of the lower class, including BPL (61.5%). Among females, the MMSE score is lesser (22.03±3.92) than even the overall score (23.32±4.4) [Table 2].

Table 2

Distribution of elderly subjects by cognitive status and its determinants

The overall prevalence of depression was 47.0%. It was more among females (56.5%), illiterates (58.9%), ≥ 80 age group (54.3%), lower social class (72.7%), those living alone (87.3%), physically dependant (80.0%), and financially dependent (63.3%) subjects. Females had a higher mean score of depression (6.80±3.10) than the overall mean score (6.16±3.40) [Table 3].

Table 3

Determinants of depression among study subjects

Disturbed sleep pattern (36.0%) was slightly higher among females (39.0%) than males (33.0%), was seen mainly in the ≥ 80 age group (61.4%), lower class, and BPL (45.3%), and those living alone (43.6%) or with others (50.0%) [Table 4].

Table 4

Distribution of elders based on sleep pattern and its determinants

DISCUSSION

The present study revealed that females showed a higher prevalence of widowhood (67.5 vs. 33.0%) and illiteracy (80.5 vs. 45.0%) than males. Illiterates outnumbered the other categories in both the sexes (45.0% and 80.5%). All those not living with spouse / children (19.3%) were widows / widowers, totally neglected by their children. Subjects were categorized as financially ‘independent’ (getting pension or earning), ‘partially dependent’ (living with family with old age pension), and ‘totally dependent’ (no income). Less prevalence of economic dependency among subjects (53.0%) when compared with other studies,[6–10] was because of the retired employees among them.

Regarding status in the family, the subjects were divided into ‘neglected’ (subjects living alone, totally neglected by children), ‘just looked-after’ (providing basic needs), ‘looked-after well’ (basic needs and medical care), and ‘respected and consulted’ (taking decisions or involving in family issues). Low prevalence of economic dependency was the reason for a lesser number of totally neglected subjects (13.75%) than in the studies by Elango S[7] (38.0%) and Kishore S[11] (55.8%). Financially, the totally dependent subjects were just looked after (15.8%), while the old age pensioners were being looked after well (41.2%). However, where only couples were present, the status was unaffected by economic dependency. Thus, economic dependency and living arrangements were the main factors deciding the status of the subject in the family.

The study showed a high prevalence of cognitive impairment (43.25%) than the studies by Singh et al.[12] (5.0%) and Goswami et al.[13] (18.03%), probably because of differences in the literacy status and composition of the subjects. Similar to Goswami et al.[13] (23.7 vs. 12.2%), a high prevalence of impairment among females (51.5%) was due to the high illiteracy rate and more number of females in the ≥ 80 age group. Similar to the study by Goswami et al.[13] (58.4%), prevalence and severity of impairment increased after 69 years of age (52.6%), especially in the ≥ 80 age group (42.9%), which showed higher prevalence than the two earlier age groups together (29.0%). High prevalence and severity of impairment associated with low literacy status was seen in illiterates (63.6 and 26.3%) rather than in literates (19.8 and 11.4%). The high prevalence (61.5%) and severity (29.8%) of impairment in the lower class as compared to the other class subjects was because of more illiterates in the lower class. The high prevalence of impairment in the upper class than in the middle class was because of few subjects in the upper class.

Similar to studies by Jain[6] (45.9%) and Venkoba Rao et al.[14] (43.0%), high prevalence of depression was observed among the subjects (47.0%), as compared to the study by Singh et al.[12] (18.0%), which was due to the high prevalence of widowhood, illiteracy, economic dependency, and poor status of the family. Increased prevalence and severity of depression among females was due to high prevalence of poor health, widowhood, economic dependency, and poor status of the family in females, similar to the study by Singh et al.[12] (37.5 vs. 14.28%), Goswami et al.[13] (63.2 vs. 44.5%), and Jain et al.[7] (5.1±8.26). Subjects showed high prevalence of depression, especially after 69 years, as seen by an increase of 13.3% in the 70 to 79 age group, due to increased widowhood, dependency, and health deterioration with age. Illiteracy, economic dependency, and loneliness were reasons for higher prevalence of depression in the lower class (72.7%) than in all the other classes put together (54.9%) and in illiterates (58.9%) rather than in literates (48.8%). A lower prevalence of depression among the financially totally dependent subjects (41.7%) as compared to the partially dependent ones (63.3%) might be because of proper care and security. The burden of earning despite poor health, loneliness, and negligence by children (regarding those living alone), were the main reasons for depression among independent subjects. High prevalence of depression (80.0%) among physically dependent subjects might be because of poor health and status of the family.

Prevalence of a disturbed sleep pattern of the study subjects (36.0%) differs from the studies of Singh CP.[15] (3.5%), Singh[16] (28.66%), Jain[6] (43.9%), and Goswami et al.[13] (58.36%) because of difference in the prevalence of factors responsible for depression, as was the case regarding the difference between male (33.0%) and female subjects (39.0%). A disturbed sleep pattern increased with age as shown by increase in its prevalence (19.0%) with age and with decreased social status (12.5 to 45.3%). Increased dependency and poor status of the family were reasons for this. Poor status of the family might be responsible for the disturbed sleep pattern among those living with family members. A normal sleep pattern in those living exclusively with spouse was because of security and good status of the family, the absence of which led to a disturbed sleep pattern among those living with others or living alone.

CONCLUSIONS

The study revealed a strong relation between sociodemographic factors like female sex, age, illiteracy, poverty, widowhood, loneliness, physical and financial dependency, poor status of the family, and the psychiatric morbidity of the subjects. Old age homes and separate clinics in the existing Primary Health Care (PHC) system, facilities for organizations working for the welfare of the aged and effective implementation of the ongoing schemes like old age pension, are some of the measures that need to be taken.

Footnotes

Source of Support: Nil

Conflict of Interest: None.

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