Literature DB >> 31728099

Non-fatal Home Injuries among the Elderly in Tamil Nadu, India.

Alex Joseph1, M Bagavandas2.   

Abstract

BACKGROUND: Injuries are considered as an emerging public health problem in India. Globally every year, injuries kill more than 5 million people, and by 2020, injuries will be the third-leading cause of death and disability worldwide. The study aimed to assess the prevalence and characteristics of nonfatal home injuries among the elderly in Tamil Nadu.
METHODOLOGY: A cross-sectional analytical study was conducted among 1139 elderly (60 years and above), sampled from three districts of Tamil Nadu, India. Probability proportional to size sampling technique was used for sampling; a pretested questionnaire was used to collect the data.
RESULTS: Prevalence of nonfatal home injuries among elderly within the past 1 year was 14.6% (12.5-16.7 at 95% confidence interval), (n = 1003), among those injured, 94.5% were unintentionally injured and 5.5% were of intentional nature. When classified according to the types of injuries, majority of them had fall injuries (6.7%) followed by minor domestic injuries (5.4%), animal-related injury (0.2%), burn injuries (1.1%), road traffic injury (0.4%), and suicide attempt (0.8%). Majority of the respondents were in the age group of young-old, 60-69 years of age (84%), and there was more number of males (55%) in the study.
CONCLUSION: The study reveals that nonfatal home injuries among elderly are an emerging public health problem, unintentional injuries contribute to the majority of the injuries, fall was the single largest contributor for all injuries among elderly. Copyright:
© 2019 Indian Journal of Community Medicine.

Entities:  

Keywords:  Elderly; Falls; Intentional injury; Unintentional injury

Year:  2019        PMID: 31728099      PMCID: PMC6824161          DOI: 10.4103/ijcm.IJCM_141_19

Source DB:  PubMed          Journal:  Indian J Community Med        ISSN: 0970-0218


INTRODUCTION

Injury is one of the leading causes of death and ill-health. Every year, injuries kill more than 5 million people worldwide, and by 2020, injuries will be the third-leading cause of death and disability worldwide. They contribute to a significant number of deaths, hospitalizations for short and long periods, emergency room visits, physical, social and psychological disabilities, disfigurement, pain, amputations, and agony. Injuries among elderly are also related to age-related decelerations of the functional capacity where there are no interventions available.[12] Apart from those non modifiable causes, there are many extrinsic factors which are largely modifiable and can prevent the occurrence of injuries among the elderly.[345] The term “injury” by definition means that there is a body lesion due to an external cause, either intentional or unintentional, resulting from sudden exposure to energy (mechanical, electrical, thermal, chemical, or radiant) generated by the agent–host interaction. This leads to tissue damage when it exceeds the physiological tolerance of the individual. Respectively, unintentional and intentional injuries contributed to three-fourth and one-fourth of total Disability-Adjusted Life Year (DALY).[678] Lack of reliable and good quality national or regional data has thwarted the recognition of injury among the elderly as a public health concern. This aim of the work was to assess the prevalence and characteristics of nonfatal home injuries among the elderly in Tamil Nadu. Injury was defined as damage to the body produced by energy exchanges that have relatively sudden discernible effects.[9]

METHODOLOGY

Study setting and design

A cross-sectional analytical study was conducted among 1139 elderly persons sampled from three districts of Tamil Nadu, India. Probability proportional to size sampling technique was used; the interview was conducted based on a pretested questionnaire to collect the data regarding injuries.

Sample size

The study sample was calculated to be 1046 based on the following parameters: the prevalence of injury as 13%,[1] 95% confidence interval (CI), relative precision of 16%, i.e. the margin of error 0.02, and about 10% of oversampling. A total of 1139 participants were selected from the three districts.

Ethical consideration

This study was approved by the Institutional Ethical Committee of SRM School of Public Health, Kattankulathur, Tamil Nadu. The purpose of this study was explained by the investigators, and informed consent was obtained from the respondents.

Statistical analysis

Analysis of the data was performed using the IBM SPSS Statistics for Windows, Trial Version 19.0. (Armonk, NY: IBM Corp). Descriptive analysis was performed; the prevalence rates for various subgroups of the elderly were calculated.

RESULTS

The sociodemographic characteristics of the respondents was as described in Table 1. Majority of the respondents were residing in the pucca house and belonged to most backward class (MBC) followed by scheduled tribes (ST). Most of the elderly were reported to be on nonvegetarian diet (64.5%), and almost one-third were purely on vegetarian diet (35.5%), about one-third of the elderly had reported to have the habit of alcohol consumption (34.2%).
Table 1

Sociodemographic characteristics of elderly (n=1139)

Sociodemographic characteristics of elderlyFrequency (%)Injury rate per 100 for subgroups (n=1003)P (n=1003)
Age category
 Young-old (60-69 years)957 (84)17.40.696
 Old-old (70-79 years)145 (12.7)13.50.404
 Oldest-old (>80 years)37 (3.3)18.50.906
Gender
 Male627 (55)17.50.708
 Female512 (45)16.4
Religion
 Hindu1087 (95.4)16.90.872
 Christian31 (2.7)20.80.684
 Muslim21 (1.8)13.30.749
Marital status
 Never married2 (0.2)00.119
 Married888 (78)14.90.999
 Separate/deserted2 (0.2)01.000
 Divorced3 (0.3)01.000
 Widowed244 (21.4)25.50.999
Education
 Illiterate519 (45.6)22.70.006
 Can read only49 (4.3)28.50.544
 Can read and write99 (8.7)17.30.403
 Primary school146 (12.8)12.90.060
 Middle school131 (11.5)8.10.008
 High school146 (12.8)8.10.005
 Graduate49 (4.3)10.00.127
Occupation
 Farmer317 (27.8)30.70.000
 Housewife97 (8.5)7.20.001
 Government/private employee62 (5.4)14.20.095
 Causal laborer171 (15)11.10.001
 Skilled laborer24 (2.1)6.20.126
 Business61 (5.3)6.50.011
 Not gainfully employed407 (35.7)15.50.001
Family type
 Nuclear family714 (62.7)13.50.001
 Joint family419 (36.8)23.80.002
 Three generations6 (0.5)00.029
Sociodemographic characteristics of elderly (n=1139) Table 2 shows that majority of the elderly perceived that their health status was good (91%) and only 5.6% of the respondents perceived that their health status was poor. Almost half of the elderly reported to have a history of cardiovascular diseases (46%) and about one-third were reported to have diabetes (31.9%), almost all the elderly had reported to have aches and pains of joints (94.1%). Perceived dimness of vision was reported to be 68% and about one-fifth of the respondents reported to have impaired hearing (22.7%). Most of the elderly had walking difficulty (62%) and decreased the sensation of the foot was present for 50.5% of the respondents. About a quarter of the respondents was reported to have dizziness (25.8%), almost one-third of the elderly were on medications (32.7%). Most of the elderly have been involved in daily physical activities (81.7%).
Table 2

History of health problems (n=1139)

VariablesFrequency (%)
Perceived health condition
 Excellent39 (3.4)
 Good1036 (91.0)
 Poor64 (5.6)
Cardiovascular diseases
 Yes524 (46.0)
 No615 (54.0)
Diabetes
Yes349 (30.6)
 No787 (69.1)
 Refused3 (0.3)
Pain, stiffness or swelling of joints
 Yes1072 (94.1)
 No66 (5.8)
 Refused1 (0.1)
Increased frequency of urination at night
 Yes213 (18.7)
 No921 (80.9)
 Refused5 (0.4)
Perceived dimness of vision
 Yes776 (68.1)
 No363 (31.9)
Impaired hearing
 Yes247 (21.7)
 No892 (78.3)
Difficulty in walking
 Yes705 (61.9)
 No432 (37.9)
 Refused2 (0.2)
Decreased sensation on foot
 Yes575 (50.5)
 No563 (49.4)
 Refused1 (0.1)
Dizziness
 Yes294 (25.8)
 No845 (74.2)
Usage of multiple-medications
 Yes372 (32.7)
 No766 (67.3)
 Refused1 (0.1)
History of health problems (n=1139) Among 1003 eligible elderly, prevalence of injury in the past 1 year was found to be 14.6% (12.5–16.7 at 95% CI), among those injured 94.5% was unintentional injuries and 5.5% was intentional Injury. The study found out the prevalence of fall to be the highest of all injuries (6.67%), followed by minor domestic injury (5.4%), followed by burn injuries with a prevalence of (1.1%), road traffic injuries (0.4%), and animal-related injury (0.2%) [Table 3]. Among injured elderly, fall constitutes to majority (45.8%) of all injuries, followed by minor domestic injuries (37%), burns and attempted suicides [Figure 1].
Table 3

Injury prevalence among elderly

VariablesFrequency (%)
Injury occurrence (n=1139)
 Yes146 (12.8)
 No857 (75.2)
 Refused34 (3.0)
 DK/CR102 (9.0)
Nature of injury (n=1003)
 Road traffic injuries4 (0.39)
 Fall67 (6.67)
 Suicide attempt8 (0.79)
 Burn11 (1.09)
 Animal-related injury2 (0.19)
 Minor domestic injury54 (5.38)

DK: Don’t Know, CR: Can’t Remember

Figure 1

Distribution of injured elderly according to the type of injury (n = 146)

Injury prevalence among elderly DK: Don’t Know, CR: Can’t Remember Distribution of injured elderly according to the type of injury (n = 146) This study calculated prevalence rates for various subgroups among elderly, when classified according to age, the study found oldest-old age group (above 80 and above) having the highest injuries (18.5/100). Comparison based on gender found males with a slightly higher rate of injury (17.5/100) compared to females (16.4/100). ST population were found to have the highest injury rates (44.8/100), which were about more than three times higher than in SC populations. Injury rates were found to be higher among widows/widowers (22.5/100) compared to married people (14.9/100). Elderly with low education was found to have higher injury rates, and the rates fall with an increase in the educational qualifications. Farmers were found to have the highest rate of injuries (30.7/100), about twice than those who were not gainfully employed (15.5/100). Elderly living in Kutcha houses were reported to have about 1.5 times higher injury rates (24.9/100) when compared to those living in pucca houses (10.8/100). Elderly who reported to have poor lighting at the house was having about four times higher rates of injury (45.4/100) compared to those reported to have adequate lighting. The injury rates were found to be higher among the elderly who had a habit of occasional alcohol consumption (25.3/100) compared to those who did not have the habit of alcohol consumption (13.4/100).

DISCUSSION

This study was conducted among the elderly in three districts of Tamil Nadu found an overall injury prevalence of 14.6% (12.5–16.7 at 95% CI). The injury rate was the highest in the oldest-old age group (80+) and among men compared to women similar to study by Saveman and Björnstig.[10] An incidence study by Gudnadottir et al. among 4469 elderly in Iceland found, falls to be the most common type of injury (7.8%); our study found the majority of the elderly with fall injuries (6.7%).[11] Study by DeGrauw et al., in the US stated that 65% of the injuries were due to fall, which was similar to our study with 46% of injuries due to fall.[12] A study conducted among the elderly in China revealed that divorced and the widowed were found to have injury rates than married counterparts, which were in agreement with our study results.[13] A cross-sectional study by Kurume, in Japan, found older people who are working to have a high occurrence of injuries; the study found similar results with agricultural workers having higher injuries (30.7/100).[14] Studies have found alcohol consumption associated with a higher risk for injury, our study found higher injury rates among occasional alcohol users.[1516] The study found higher rates of injuries among the elderly in low-socioeconomic status, which was in line with other global studies were the disparities in socioeconomic status for injuries were well established.[1718]

CONCLUSION

The study identified that oldest-old and males having higher injuries and falls as the major cause for injury among the elderly population. The study might have recall bias, information regarding injuries were collected based on self reporting. The study shows the tip of the iceberg since trivial and injuries with fatal outcome was not included. Further research is needed to identify the full spectrum of injuries of various severity and outcome and identify the risk factors for injuries among the elderly.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  16 in total

1.  Unintentional injuries treated in hospital emergency departments among persons aged 65 years and older, United States, 2006-2011.

Authors:  Xinyao DeGrauw; Joseph L Annest; Judy A Stevens; Likang Xu; Victor Coronado
Journal:  J Safety Res       Date:  2015-12-02

2.  Depressive symptoms as a risk factor for unintentional injury: a cohort study in a rural county.

Authors:  H M Tiesman; C Peek-Asa; P Whitten; N L Sprince; A Stromquist; C Zwerling
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

Review 3.  Road-traffic injuries: confronting disparities to address a global-health problem.

Authors:  Shanthi Ameratunga; Martha Hijar; Robyn Norton
Journal:  Lancet       Date:  2006-05-06       Impact factor: 79.321

4.  Risk factors for falls among elderly persons living in the community.

Authors:  M E Tinetti; M Speechley; S F Ginter
Journal:  N Engl J Med       Date:  1988-12-29       Impact factor: 91.245

5.  Accidental injuries among older adults: An incidence study.

Authors:  Maria Gudnadottir; Thordis Katrin Thorsteinsdottir; Brynjolfur Mogensen; Thor Aspelund; Edda Bjork Thordardottir
Journal:  Int Emerg Nurs       Date:  2018-04-13       Impact factor: 2.142

6.  Risk factors for recurrent nonsyncopal falls. A prospective study.

Authors:  M C Nevitt; S R Cummings; S Kidd; D Black
Journal:  JAMA       Date:  1989-05-12       Impact factor: 56.272

Review 7.  Alcohol and non-traffic unintended injuries.

Authors:  R Hingson; J Howland
Journal:  Addiction       Date:  1993-07       Impact factor: 6.526

8.  Differential ranking of causes of fatal versus non-fatal injuries among US children.

Authors:  M F Ballesteros; R A Schieber; J Gilchrist; P Holmgreen; J L Annest
Journal:  Inj Prev       Date:  2003-06       Impact factor: 2.399

9.  A multifactorial intervention to reduce the risk of falling among elderly people living in the community.

Authors:  M E Tinetti; D I Baker; G McAvay; E B Claus; P Garrett; M Gottschalk; M L Koch; K Trainor; R I Horwitz
Journal:  N Engl J Med       Date:  1994-09-29       Impact factor: 91.245

10.  Psychoactive drugs and the risk of injurious motor vehicle crashes in elderly drivers.

Authors:  W A Ray; R L Fought; M D Decker
Journal:  Am J Epidemiol       Date:  1992-10-01       Impact factor: 4.897

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  1 in total

1.  Injury and its associated factors among residents of an urban slum during the festival month in South India: A community-based survey.

Authors:  Vinayagamoorthy Venugopal; Pruthu Thekkur; Kalaiselvi Selvaraj; Swaroop K Sahu
Journal:  J Family Med Prim Care       Date:  2020-12-31
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