{"id":954,"date":"2015-02-16T06:45:52","date_gmt":"2015-02-16T06:45:52","guid":{"rendered":"http:\/\/biomedpharmajournal.org\/?p=954"},"modified":"2017-01-05T06:01:50","modified_gmt":"2017-01-05T06:01:50","slug":"morbidity-pattern-and-social-interaction-amongst-elderly-living-in-old-age-homes","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol2no2\/morbidity-pattern-and-social-interaction-amongst-elderly-living-in-old-age-homes\/","title":{"rendered":"Morbidity Pattern and Social Interaction Amongst Elderly Living in Old Age Homes"},"content":{"rendered":"

Introduction<\/strong><\/p>\n

A silent revolution has occurred in the last 100 years \u2013 unseen, unheard and yet so close.\u00a0 The biggest achievement of the century is longevity.\u00a0 All over the world life expectancy has risen; leading to a sharp rise in the number of Older Persons.1<\/sup><\/strong> There is the expression, \u201c<\/strong>growing old gracefully\u201d.\u00a0 And we need God\u2019s grace for the same.\u201d2<\/sup><\/p>\n

While the numbers have gone up, quality of life has gone down. Industrialization, migration, urbanization and westernization have severely affected value systems.\u00a0 The erstwhile joint family, the natural support system, has crumbled.\u00a0 The fast-changing pace of life has added to the woes of the older person.1<\/sup><\/p>\n

In recognition of challenge of health and independent functioning in old age, the World Health Organization convened and expert panel in 1974 on \u201cPlanning and Organization of Geriatric Services.\u201d\u00a0 This body recommended that countries develop suitable integrated health services for older persons, including elements of medical and social prevention, multi-disciplinary assessment, home and institutional curative treatment, rehabilitation, long-term care and supportive social welfare.3<\/sup><\/p>\n

Scenario of Old age population<\/strong><\/p>\n

Indian scenario<\/strong><\/p>\n

Older people in India constitute the fastest growing age group in the population. India contains the second largest number of older persons in any country worldwide.4<\/sup><\/strong> Although the proportion of India\u2019s elderly population is small compared with that of any developed country because of the large size of India\u2019s population base, the elderly population is very large in absolute numbers.5<\/sup><\/p>\n

According to 2001 census, 7.7% of total populations were above the age of 60 years.6<\/sup><\/strong> The growth rates of total population and old population from 1951 to 2001 in India according to Government of India is:<\/strong>7<\/sup><\/strong><\/p>\n\n\n\n\n\n\n\n\n
Period<\/strong><\/td>\nTotal Population increase (%)<\/strong><\/td>\nPopulation of age 60 years and above increase (%)<\/strong><\/td>\n<\/tr>\n
1951 \u2013 1961<\/td>\n21.51<\/td>\n22.40<\/td>\n<\/tr>\n
1961 \u2013 1971<\/td>\n24.80<\/td>\n32.30<\/td>\n<\/tr>\n
1971 \u2013 1981<\/td>\n24.75<\/td>\n31.60<\/td>\n<\/tr>\n
1981 \u2013 1991<\/td>\n23.50<\/td>\n29.00<\/td>\n<\/tr>\n
1991 \u2013 2001<\/td>\n21.69<\/td>\n37.25<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

In India during 1901, life expectancy at the age of 65 years was 7,3 years for males and 7.6 years for females which rise to 14.6 years and 16.7 years for males and females respectively in 1991.\u00a0 The life expectancy at the age of 65 years in 1990 in USA was 15 years for males and 19.4 years for females.8<\/sup><\/strong><\/p>\n

On this background present study was undertaken to determine degree of disability & Activity of Daily Living in old age people (>60 years) living in Old Age Home.<\/p>\n

Material and Method<\/strong><\/p>\n

Study area<\/strong><\/p>\n

This study titled was conducted amongst the inmates of the geriatric homes located in two district of central Gujarat. List of OAH of<\/p>\n

Study design<\/strong><\/p>\n

Cross sectional study.<\/p>\n

Period of study<\/strong><\/p>\n

This study was conducted from October 2004 to September 2005.<\/p>\n

Study population and Sampling method<\/strong><\/p>\n

314 inmates residing in 11 Old Age Homes. Selection of subjects was done according to inclusion & exclusion criteria.<\/p>\n

Selection criteria for subject<\/strong><\/p>\n

People more than 60 years of age living in old age homes.<\/p>\n

Exclusion criteria for subject<\/strong><\/p>\n

Too ill., <\/strong>have a terminal disease, severely demented.<\/p>\n

Statistical Methods<\/strong><\/p>\n

The data collected was entered on the master chart .Chi square statistics was applied to find out association between different variables with the help of \u201cStatistical Package for Social Sciences\u201d software. <\/strong><\/p>\n

Current Income<\/strong><\/p>\n

Pension: Old age pension and retirement pension from previous occupation.<\/p>\n

From current occupation: Income generated from current occupation.<\/p>\n

Other sources: Rent of assets like home or shop, selling of crop by farmer or interest on bank deposits or by doing routine work at old homes like preparing meal or washing utensils and they were given money for it.<\/p>\n

No income.<\/p>\n

Data collection<\/strong><\/p>\n

Written permission was taken from the managers of old age homes for conducting study, after explaining purpose and method of study to them. Information is recorded in a proforma by visiting old age homes at least twice in a week.<\/p>\n

Results<\/strong><\/p>\n

The study conducted on 314 inmates residing in 11 Old Age Homes revealed that highest number of inmates were of 60\u201369 years (53.8%) ,majority of them were female (70%) and majority of inmates (86.4%) were not working. 2\/3rd<\/sup> inmates (66.4%) were staying for < 3years in Old Age Homes, only (6.3%) were staying for more than 5 years & all of them were females. 93 inmates (30.8%) of inmates were living in OAH due to conflict with other family members,19.6% because of financial problem, 24.2% because nobody cares about them at home while 25.2% had other problems like to attain mental peace, feel lonely at home & don\u2019t want to reveal.<\/p>\n

Examination of inmates reveals that only 50 inmates (16.6%) had no chronic disease at all rest of the inmates had one or more chronic diseases. In morbidity due to chronic disease, sleeping problem was highest in inmates (79.7%) followed by visual problem in (70.7%) inmates & hypertension in 49.5% inmates,(16.6%) of inmates do not have any chronic disease, only one inmate had pulmonary tuberculosis. As age increased number of chronic diseases increased.<\/p>\n

Comparatively more prevalence of sleeping problems (79.7%) in our study was significantly associated with recent admission (<3 yrs) into old age homes because inmates admitted recently were more apprehensive & they require time to adjust to newer environment of old age homes.<\/p>\n

Majority of inmates (93.7%) had social interaction with other inmates of OAH\u2019s. Half of inmates (49.2 %) have good social interaction with their family members and visit by family members is seen in around 59.8% of inmates Desire to go back home was not significantly associated with social interaction with inmates or with family members.<\/p>\n

Table 1: Age sex distribution & duration of stay of inmates in old age homes.<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
Age<\/strong><\/p>\n

(Year)<\/strong><\/td>\n

Sex<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
Female<\/strong><\/td>\nMale<\/strong><\/td>\n<\/tr>\n
No.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\n<\/tr>\n
60 – 69<\/td>\n103<\/td>\n63.6<\/td>\n59<\/td>\n36.4<\/td>\n162<\/td>\n53.8<\/td>\n<\/tr>\n
70 \u2013 79<\/td>\n84<\/td>\n84.0<\/td>\n16<\/td>\n16.0<\/td>\n100<\/td>\n33.2<\/td>\n<\/tr>\n
\u2265 80<\/td>\n24<\/td>\n61.5<\/td>\n15<\/td>\n38.5<\/td>\n39<\/td>\n13.0<\/td>\n<\/tr>\n
Total<\/td>\n211<\/td>\n70.0<\/td>\n90<\/td>\n30.0<\/td>\n301<\/td>\n100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 2a: Duration of stay of inmates in old age homes.<\/strong><\/p>\n\n\n\n\n\n\n\n\n
Duration\u00a0\u00a0\u00a0 of stay<\/strong><\/p>\n

(Year)<\/strong><\/td>\n

Male<\/strong><\/td>\nFemale<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
No.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\n<\/tr>\n
< 3<\/td>\n61<\/td>\n30.5<\/td>\n139<\/td>\n69.5<\/td>\n200<\/td>\n66.4<\/td>\n<\/tr>\n
3 \u2013 5<\/td>\n29<\/td>\n35.3<\/td>\n53<\/td>\n64.7<\/td>\n82<\/td>\n27.2<\/td>\n<\/tr>\n
> 5<\/td>\n–<\/td>\n–<\/td>\n19<\/td>\n100.0<\/td>\n19<\/td>\n6.3<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 2b:Distribution of inmates according to present occupation.<\/strong><\/p>\n\n\n\n\n\n\n\n
Present Occupation<\/td>\nMale<\/td>\nFemale<\/td>\nTotal<\/td>\n<\/tr>\n
No.<\/td>\n%<\/td>\nNo.<\/td>\n%<\/td>\nNo.<\/td>\n%<\/td>\n<\/tr>\n
Working<\/td>\n25<\/td>\n60.9<\/td>\n16<\/td>\n39.1<\/td>\n41<\/td>\n13.6<\/td>\n<\/tr>\n
Not Working<\/td>\n65<\/td>\n25.0<\/td>\n195<\/td>\n75.0<\/td>\n260<\/td>\n86.4<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 3: Distribution of inmates according to present occupation.<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
Current\u00a0 Income<\/td>\nMale<\/td>\nFemale<\/td>\nTotal<\/td>\n<\/tr>\n
No.<\/td>\n%<\/td>\nNo.<\/td>\n%<\/td>\nNo.<\/td>\n%<\/td>\n<\/tr>\n
Pension<\/td>\n25<\/td>\n67.5<\/td>\n12<\/td>\n32.5<\/td>\n37<\/td>\n12.3<\/td>\n<\/tr>\n
Current Occupation<\/td>\n17<\/td>\n41.4<\/td>\n24<\/td>\n58.6<\/td>\n41<\/td>\n13.6<\/td>\n<\/tr>\n
Other sources<\/td>\n26<\/td>\n16.6<\/td>\n130<\/td>\n83.4<\/td>\n156<\/td>\n51.8<\/td>\n<\/tr>\n
No income<\/td>\n22<\/td>\n32.8<\/td>\n45<\/td>\n67.2<\/td>\n67<\/td>\n22.3<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 4:Distribution of inmates according to chronic diseases.<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Chronic\u00a0 diseases<\/strong><\/td>\nMale<\/strong><\/td>\nFemale<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
No.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\n<\/tr>\n
Sleeping Problem<\/td>\n63<\/td>\n26.3<\/td>\n177<\/td>\n73.7<\/td>\n240<\/td>\n79.7<\/td>\n<\/tr>\n
Visual Problem<\/td>\n52<\/td>\n24.4<\/td>\n161<\/td>\n75.6<\/td>\n213<\/td>\n70.7<\/td>\n<\/tr>\n
Hypertension<\/td>\n33<\/td>\n22.1<\/td>\n116<\/td>\n77.9<\/td>\n149<\/td>\n49.5<\/td>\n<\/tr>\n
Arthritis<\/td>\n12<\/td>\n14.6<\/td>\n70<\/td>\n85.4<\/td>\n82<\/td>\n27.2<\/td>\n<\/tr>\n
Breathlessness<\/td>\n21<\/td>\n31.3<\/td>\n46<\/td>\n68.7<\/td>\n67<\/td>\n25.2<\/td>\n<\/tr>\n
Hearing Problem<\/td>\n12<\/td>\n20.0<\/td>\n48<\/td>\n80.0<\/td>\n60<\/td>\n19.9<\/td>\n<\/tr>\n
Chronic cough<\/td>\n10<\/td>\n26.3<\/td>\n28<\/td>\n73.7<\/td>\n38<\/td>\n12.6<\/td>\n<\/tr>\n
Diabetes<\/td>\n16<\/td>\n53.3<\/td>\n14<\/td>\n46.7<\/td>\n30<\/td>\n10.0<\/td>\n<\/tr>\n
Tuberculosis (pulmonary)<\/td>\n–<\/td>\n<\/td>\n1<\/td>\n100.0<\/td>\n1<\/td>\n0.3<\/td>\n<\/tr>\n
Others<\/td>\n–<\/td>\n<\/td>\n22<\/td>\n100.0<\/td>\n22<\/td>\n7.3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 5: Distribution of inmates according to reason for living in old age homes.<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
Reason for\u00a0\u00a0\u00a0\u00a0\u00a0 staying<\/strong><\/td>\nMale<\/strong><\/td>\nFemale<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
No.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n%<\/strong><\/td>\n<\/tr>\n
\u00a0 Conflict with family
\nmembers<\/td>\n		32<\/td>\n34.4<\/td>\n61<\/td>\n65.5<\/td>\n93<\/td>\n30.8<\/td>\n<\/tr>\n
\u00a0\u00a0 Financial problem<\/td>\n21<\/td>\n35.5<\/td>\n38<\/td>\n64.5<\/td>\n59<\/td>\n19.6<\/td>\n<\/tr>\n
\u00a0\u00a0 Nobody take care at
\nhome<\/td>\n		16<\/td>\n21.9<\/td>\n57<\/td>\n78.1<\/td>\n73<\/td>\n24.2<\/td>\n<\/tr>\n
Other Problems<\/td>\n21<\/td>\n27.6<\/td>\n55<\/td>\n72.4<\/td>\n76<\/td>\n25.4<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Table 6: Distribution of inmates according to social interaction amongst them & with family members and friends.<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Social Interaction<\/strong><\/p>\n<\/td>\n

Male<\/strong><\/td>\nFemale<\/strong><\/td>\nTotal<\/strong><\/td>\n<\/tr>\n
No.<\/strong><\/td>\n%<\/strong><\/td>\nNo.<\/strong><\/td>\n\n

%<\/strong><\/p>\n<\/td>\n

No.<\/strong><\/td>\n\n

%<\/strong><\/p>\n<\/td>\n<\/tr>\n

With other inmates of geriatric home<\/strong><\/td>\n<\/tr>\n
Yes<\/td>\n76<\/td>\n26.9<\/td>\n206<\/td>\n73.1<\/td>\n282<\/td>\n93.7<\/td>\n<\/tr>\n
No<\/td>\n14<\/td>\n73.6<\/td>\n5<\/td>\n26.4<\/td>\n19<\/td>\n6.3<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100.0<\/td>\n<\/tr>\n
Chi square 18.54, p=0.00<\/strong><\/td>\n<\/tr>\n
With family members<\/strong><\/td>\n<\/tr>\n
Yes<\/td>\n55<\/td>\n37.2<\/td>\n93<\/td>\n62.8<\/td>\n148<\/td>\n49.2<\/td>\n<\/tr>\n
No<\/td>\n35<\/td>\n22.9<\/td>\n118<\/td>\n77.1<\/td>\n153<\/td>\n50.8<\/td>\n<\/tr>\n
Total<\/td>\n90<\/td>\n30.0<\/td>\n211<\/td>\n70.0<\/td>\n301<\/td>\n100.0<\/td>\n<\/tr>\n
Chi square 7.32, p=0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


\n<\/strong><\/p>\n

Discussion<\/strong><\/p>\n

The sociodemographic profile of inmates revealed that highest number of inmates was of 60\u201369 years 53.8% followed by 33.2% in 70-74 yrs and only 13.0% in age of 80 yrs & above. Mean, median & mode of age was 70.0yrs, 69.0yrs & 68.0yrs respectively. Mann E and Koller M9<\/sup> in their study in Austria found that the mean age was 77.9 yrs.<\/p>\n

Out of 301 majority of them were female ( n=211,70%) as compared to males (n=90,30%) & this difference was statistically significant (p<0.001). This correlates well with the finding of Yuonne Da Silva Pereira et al (2002)10<\/sup>, in which 61.7 % were females & 38.3% were males.<\/p>\n

Majority of inmates (n=260,86.4%) were not working & only 41 inmates (13.6%) were currently working. This correlates well with the finding of Niranjan G V et al (1996)11<\/sup> from urban slum area of Banglore, in which 61.3 % aged were unemployed.<\/p>\n

Half of the inmates (n=156,51.8%) had income from other sources, 41 inmates (13.6%)had income from current occupation ,37 inmates (12.3%) had pension and 67 inmates (22.3%) had no income at all.<\/p>\n

Two third of\u00a0 inmates (n=200, 66.4%) were staying for < 3years in Old Age Homes, only\u00a0 19 inmates (6.3%) were staying for more than 5 years & all of them were females.\u00a0 Mean, median & mode of duration of stay in OAH\u2019s was 2.5 yrs, 2yrs, 2yrs respectively. This indicates that staying in Old Age Homes is a recent trend. This correlates well with Bagga (1997)12<\/sup><\/p>\n

In our study, we found that 93 inmates (30.8%) were living in OAH due to conflict with other family members, 59 inmates (19.6%) because of financial problem, 73 inmates (24.2%) because nobody cares about them at home while 67 inmates (25.2%) had other problems like to attain mental peace, feel lonely at home & don\u2019t want to reveal. This correlates well with other studies by Mishra (2003)13<\/sup><\/p>\n

In our study only 50 inmates (16.6%) had no chronic disease at all. In rest of them sleeping problem was highest in inmates (79.7%) followed by visual problem in (70.7%) inmates & hypertension in 49.5% inmates, only one had pulmonary tuberculosis. As age increased number of chronic diseases increased.\u00a0 The proportion found in our study is slightly higher than as compared to Indrani Gupta & Deepa Sankar14<\/sup> study by ICMR at Madurai.& study at Geriatric clinic of AIIMS hospital.<\/p>\n

Majority of inmates ( n= 282,93.7%) had social interaction with other inmates of OAH\u2019s. Half of inmates (49.2 %) have good social interaction with their family members and visit by family members is seen in around 59.8% of inmates.This correlates well with study by Mishra (2003)13<\/sup> in OAH\u2019s of Kanpur.<\/p>\n

Conclusion<\/strong><\/p>\n

Urbanization & industrialization leads to outward migration of younger peoples away from parents. Hence more number of Old Age Homes are required in future to accommodate them. Majority of Old Age Persons do not have income so Government has to build OAH\u2019s which admit the needy persons free of charge. By maintaining healthy life style like exercise, balance diet many diseases & disabilities in older age are prevented of delayed. Further there is growing need for intervention to ensure the health of elderly & to create a policy to meet care & needs of disabled elderly.<\/p>\n

References<\/strong><\/p>\n

    \n
  1. www:\/\/www.helpageindia.org\/ageing scenario.php<\/li>\n
  2. MPK Kutty. So you think You Are Old? website:http:\/\/spirituality.indiatimes.com\/articleshow\/947945.cms<\/li>\n
  3. World health Organization: Planning and organization of Geriatric services<\/li>\n
  4. World Health Organization Technical Report Series No.548.Geneva:WHO,1974<\/li>\n
  5. 4.Situation & Voices: The Older poor and excluded in South Africa & India; Population and development strategies series. number 2 ,2002,United Nations Population Fund<\/li>\n
  6. 5.Chanana H and Talwar P.Aging in India:Its socioeconomic and Health Implications. Asia-Pacific Population Journal, Vol 2 (3)<\/li>\n
  7. Park K Preventive Medicine and Geriatrics .Parks Textbook of preventive & Social medicine.18 th edition.M\/S Banarsidas Bhanot ,Jabalpur ,India<\/li>\n
  8. Dandekar K. The elderly in India. Sage publications India Pvt. Ltd. New Delhi1996:25-165<\/li>\n
  9. 8.. Jarvik L F ,Small G W.Geriatric Psychiatry : Introduction\u00a0 and overview. In Kaplan H I and Sadok B I\u00a0 Comprehensive\u00a0\u00a0\u00a0 Textbook of Psychiatry VI\u00a0 edition .Willioms\u00a0 and Wilkins ,Baltimore,1995:2507<\/li>\n
  10. 9.Comprehensive geriatric assessement.The Merck ManualofGeriatrics.ww.merck.com\/mrsharedmm_geriatrics\/sec1\/ch1.jsp<\/li>\n
  11. Younne Da Sillva Pereira et al .Geriatrics patients attending Tertiary care psychiatric hospital.Indian Journal of Psychiatry,2002:44(4):326-331.<\/li>\n
  12. Niranjan G V et al. A study of health status of aged persons in slum of urban field practice area. Banglore.Indian Journal of Community medicine,1996 Jan-Dec.;XXI (1-4): 37-40<\/li>\n
  13. Bagga A, 1997. A study of women in old age homes of Pune. In;CHAKRAVARTY Indrani (ed.) 1997. Life twilight years. Calcutta: Kwality Book Company, 1997, pp.171-175<\/li>\n
  14. 13.Mishra A. Study of Loneliess in an Old Age Home in India: A case of Kanpur. Indian Journal of Gerontology, Volume<\/li>\n
  15. Indrani Gupta: Deepa Sankar. Health of the Elderly in India: A Multivarite analysite http:\/\/wwwieg.nic.in\/dis ind 46. pdf.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Introduction A silent revolution has occurred in the last 100 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-954","post","type-post","status-publish","format-standard","hentry","category-vol2no2"],"_links":{"self":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/954","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/comments?post=954"}],"version-history":[{"count":5,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/954\/revisions"}],"predecessor-version":[{"id":13153,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/posts\/954\/revisions\/13153"}],"wp:attachment":[{"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/media?parent=954"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/categories?post=954"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedpharmajournal.org\/staging\/wp-json\/wp\/v2\/tags?post=954"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}