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Adzmel Mahmud 1 , Rohana Jani 2 , Raudhatul Mahfuzah Shafiai 1 1 National Population and Family Board, Malaysia, 2 University of Malaya, Malaysia Determinants of Loneliness Among Elderly in Malaysia INTCESS16 3rd INTERNATIONAL CONFERENCE ON EDUCATION AND SOCIAL SCIENCES 8-10 February, 2016 Istanbul, Turkey

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  • A d z m e l M a h m u d 1, R o h a n a J a n i 2, R a u d h a t u l M a h f u z a h S h a f i a i 1

    1N a t i o n a l P o p u l a t i o n a n d F a m i l y B o a r d , M a l a y s i a , 2U n i v e r s i t y o f M a l a y a , M a l a y s i a

    Determinants of Loneliness Among Elderly in Malaysia

    INTCESS16 3rd INTERNATIONAL CONFERENCE ON EDUCATION AND

    SOCIAL SCIENCES 8-10 February, 2016

    Istanbul, Turkey

  • Outline of presentation

    Introduction

    Objective

    Method

    Analysis

    Results and findings

    Summary and conclusion

    Acknowledgement

    2

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  • Introduction

    Population ageing (aged 60 years and over) is taking place in both developed and developing countries in the world. The older population will increase from

    841 million in 2013 to more than 2 billion in 2050.

    3

    Source:

    (1) United Nations, Department of Economic and Social Affairs, Population Division (2013). World Population Ageing 2013.

    ST/ESA/SER.A/348

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    0.8 Billion

    2.0 Billion

  • Introduction… cont.

    Malaysia is likely to reach an ageing nation status by 2035

    4

    5.8 6.2

    7.9

    10.6

    13.6 14.9

    0

    2

    4

    6

    8

    10

    12

    14

    16

    1991 2000 2010 2020 2030 2035

    %

    Proportion of the population aged 60 years and over, 1990-2040, Malaysia

    2.2 million

    5.5 million

    Source:

    (1) Department of statistics, Malaysia (2006), Time Series Data Population and Housing Census, 1911-2000.

    (2) Department of Statistics, Malaysia (2011), Population Distribution and Demogrpahic Characteristics, 2010.

    (3) Department of Statistics, Malaysia (2012), Population Projection s, Malaysia, 2010-2040.

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  • Introduction… cont.

    As the number of elderly population continues to grow, loneliness is becoming one of the major issues leading to

    impaired quality of life among elderly people.

    5

    Why study loneliness

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  • Introduction… cont.

    Loneliness can be defined in many ways based on the situation and condition of individuals who experienced it.

    Loneliness is based on the perception of having few or less close interpersonal relationship than one would like (Van Baarsten, Snijders, Smit, & van Duijn, 2001; Cornwell & Waite, 2009a).

    Loneliness is the difference between desired and actual social relations either in quantity or quality of relationships or both (Peplau and Perlman (1982)

    Loneliness refer to the subjective, negative feelings related to perceived social isolation, a lower level of contact than that desired or the absence of a specific desired companion (Wenger et al. 1996)

    6

    What is loneliness?

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  • Introduction… cont.

    The prevalence rate of loneliness among the elderly is different ranging from 7% (Victor et al., 2000) to 49% (Holmén, Ericsson & Winblad, 1994).

    It was expected that 25% of the world population will experience loneliness (Miedema & Tatemichi, 2003).

    More than half (53.4%) of Malaysian elderly population experienced loneliness (Teh, Tey & Ng, 2014).

    7

    Prevalence of loneliness

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  • Introduction… cont.

    Loneliness increases with age (Dykstra, Van Tilburg, & De Jong Gierveld, 2005)

    A higher percentage of women than men report feeling lonely (Beaumont, 2013)

    There is a negative association between prevalence of loneliness and health among the elderly (Pennix et al., 1999).

    More than half (59%) of adults aged over 52 who report poor health say they feel lonely “some of the time or often”, compared to 21% among those who reported they are in excellent health (Beaumont, 2013)

    8

    Literature on risk factors of loneliness

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  • Introduction… cont.

    Loneliness predict depression (Cacioppo et al., 2006; Momtaz et al., 2012), physical activity management (Cacioppo, Hawkley & Thisted, 2010) and it also will affect the quality of life (Victor et al., 2000)

    Feeling of loneliness increases the risk of mortality (Patterson & Veenstra, 2010)

    Family that provides major sources of support plays a role of shield against depression, loneliness, and isolation in later life (Murphy, 1982).

    Financial difficulties and unstable employment have been noted as contributing factors to psychological disturbances (Nicasso, 1983).

    Having an intensive social network decreases the feeling of loneliness Jylhä (2004).

    9

    Literature on risk factors of loneliness

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  • Objective

    The objective of this study is to examine prevalence of loneliness and to identify the risk of loneliness with respect to

    (i) demographic variables

    (ii) socio-economic status

    (iii) health and physical conditions

    (iv) living arrangement

    (v) family interaction and support, and

    (vi) social connection and interaction

    10

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  • Method

    Data Source • Data for this study is a sub-

    sample of a bigger national study gathered through the Fifth Malaysian Population and Family Survey(MPFS-5) conducted in 2014 by the National Population and Family Development Board Malaysia.

    • MPFS is conducted every 10 years since 1974

    Data Collection

    • Stratified sampling design

    • Face-to-face interview conducted by trained interviewers

    Respondents

    • Malaysian citizens aged 60 and above with Children

    • Sample size = 3,701

    11

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  • 12

    Variables Variable code

    Perceived loneliness 0 = Not lonely; 1 = Lonely

    A. Demographic variables

    1. Age 1 = 60-64; 2 = 65-69; 3 = 70-74 ; 4=75+

    2. Gender 0 = Female ; 1 = Male

    3. Ethnicity 1 = Malays; 2 = Other Bumiputras ; 3 = Chinese,

    4 = Indians

    4. Place of residence 0 = Rural ; 1 = Urban

    5. Marital status 0 = Currently married ; 1 = Widowed/divorced

    B. Socio-economic status

    6. Educational level 1 = No schooling ; 2 = Primary; 3 = Secondary;

    4 = Tertiary

    7. Work status 0 = Not working; 1 = Currently working

    8. Savings 1 = None; 2 = 1-2 savings; 3 = 3+ savings

    Method… cont.

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  • Method… cont.

    13

    Variable Variable code

    C. Health and physical condition

    9. Health status 1 = Good ; 2 = Fair; 3 = Poor

    10. Disease 1 = None; 2 = 1-2 diseases; 3 = 3+ diseases

    11. Physical limitation 1 = None; 2 = 1-2 limitations; 3 = 3+ limitations

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  • Method… cont.

    14

    Variable Variable code

    D. Family interaction and support

    12. Living arrangement 0 = Non coresidence; 1 = Coresidence

    13. Received money 0 = No; 1 = Yes

    14. Payment of bills 0 = No; 1 = Yes

    15. Food and other necessities 0 = No; 1 = Yes

    16. Housework 0 = No; 1 = Yes

    17. Care giving 0 = No; 1 = Yes

    18. Emotional support 0 = No; 1 = Yes

    E. Social activities

    19. Religious participation 0 = No; 1 = Yes

    20. Leisure activity 0 = No; 1 = Yes

    21. Community participation 0 = No; 1 = Yes

    22. Internet usage 0 = No; 1 = Yes

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  • Method… cont.

    Loneliness

    Demographic variables

    Socio Economic

    Status

    Health & Physical

    Condition

    Family Interaction &

    Support

    Social Activities

    15

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  • Analysis

    Descriptive statistics – frequency distribution and cross-tabulation

    Statistical Analysis

    Association analysis (Chi-Square test)

    Null Hypothesis (Ho) : There is no association between loneliness and independent variables (age, gender, ethnicity, place of residence, marital status etc.)

    Alternative Hypothesis (Ha) : There is an association between loneliness and independent variables

    Logistic regression – to identify significant factors that influence loneliness

    ( 0 = not lonely (ref); 1 = lonely)

    where independent variables are:

    demographic variables, socio-economic status, Health & Physical Condition, Living Arrangement, Family Interaction & Support and Social Activities

    16

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  • Characteristics of respondents 17

    Demographic variables

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Age

    60-64 38.9 40.0 37.5

    65-69 27.7 26.4 29.3

    70-74 17.6 17.2 18.1

    75+ 15.8 16.4 15.2

    Gender

    Male 45.1

    Female 54.9

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Ethnicity

    Malay 65.7 66.8 64.4

    Other Bumiputra 10.1 10.2 9.9

    Chinese 17.3 15.7 19.4

    Indian 6.9 7.3 6.4

    Place of Residence

    Rural 45.8 47.3 44.0

    Urban 54.2 52.7 56.0

    Marital Status

    Currently

    Married 69.1 51.6 90.3

    Widowed/

    divorced 30.9 48.4 9.7

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  • Characteristics of respondents… cont. 18

    Socio-Economic Status

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Educational level

    No schooling 20.1 29.8 8.3

    Primary 49.7 48.4 51.4

    Secondary 25.0 19.5 31.8

    Tertiary 5.1 2.5 8.5

    Work Status

    Not Working 77.7 86.5 66.9

    Currently

    working 22.3 13.5 33.1

    Savings form

    None 42.4 43.9 40.5

    1-2 savings 41.4 42.7 39.9

    3+ savings 16.2 13.4 19.6

    Health & Physical Condition

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Health status

    Good 34.5 31.2 38.4

    Fair 52.4 54.8 49.3

    Poor 13.1 14.0 12.3

    Diseases

    None 24.2 21.6 27.5

    1-2 Diseases 52.4 54.3 49.9

    3+ Diseases 23.4 24.1 22.6

    Physical limitations

    None 68.8 60.8 78.5

    1-2 limitations 19.7 24.8 13.5

    3+ limitations 11.5 14.4 8.0

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  • Characteristics of respondents… cont. 19

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Living Arrangement

    Non coresidence 41.3 40.9 41.8

    Coresidence

    with children 58.7 59.1 58.2

    Received money

    No 20.4 15.9 25.8

    Yes 79.6 84.1 74.2

    Payments of Bills

    No 53.2 47.5 60.2

    Yes 46.8 52.5 39.8

    Food and other necessities

    No 31.8 24.5 40.7

    Yes 68.2 75.5 59.3

    Family Interaction & Support

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Housework

    No 34.9 30.6 40.2

    Yes 65.1 69.4 59.8

    Care Giving

    No 38.0 30.3 47.3

    Yes 62.0 69.7 52.7

    Emotional Support

    No 43.9 41.2 47.2

    Yes 56.1 58.8 52.8

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  • Characteristics of respondents… cont. 20

    Social activities

    Characteristics All

    (n=3,701)

    Female

    (n=2,033

    Male

    (n=1,668)

    Religious Participation

    No 24.6 30.6 17.2

    Yes 75.4 69.4 82.8

    Leisure activity

    No 77.9 84.3 70.2

    Yes 22.1 15.7 29.8

    Community participation

    No 84.8 87.9 81.1

    Yes 15.2 12.1 18.9

    Internet Usage

    No 91.8 95.1 87.8

    Yes 8.2 4.9 12.2

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  • Results and findings 21

    Prevalence of loneliness

    Not Lonely

    64.4

    Lonely 36.5

    ALL

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  • Results and findings… cont. 22

    Demographic Variables

    68.8 64.6 63.6 54.1

    31.2 35.4 36.4 45.9

    60-64 65-69 70-74 75+

    Age**

    Not Lonely Lonely

    74.0 56.5

    26.0 43.5

    Male Female

    Gender**

    62.3 50.1

    80.7 64.6

    37.7 49.9

    19.3 35.4

    Malay Other Bumiputra Chinese Indian

    Ethnicity**

    58.5 69.3

    41.5 30.7

    Rural Urban

    Place of Residence**

    72.3 46.7

    27.7 53.3

    Currently Married Widowed/divorced

    Marital Status** Feeling lonely increases with age highest among those age 75+

    Higher among females and those residing in rural areas,

    Much higher among widowed/divorced

    Lowest among Chinese

    **P

  • Results and findings… cont. 23

    Socio-Economic Status

    45.3

    64.5 75.3

    85.3

    54.7

    35.5 24.7

    14.7

    Noschooling

    Primary Secondary Tertiary

    Educational Level**

    Not Lonely Lonely

    57.9 66.4

    76.1

    42.1 33.6

    23.9

    None 1-2 savings 3+ savings

    Savings**

    62.9 69.7

    37.1 30.3

    Not Working Currentlyworking

    Works Status**

    Feeling lonely was also common among those who had no schooling, not working and had no sources of income

    **P

  • Results and findings… cont. 24

    Health and Physical Condition

    73.5 62.9

    46.5

    26.5 37.1

    53.5

    Good Fair Poor

    Health Status**

    Not Lonely Lonely

    70.2 64.6 57.8

    29.8 35.4 42.2

    None 1-2 Diseases 3+ Diseases

    Diseases**

    69.9 57.7

    43.1

    30.1 42.3

    56.9

    None 1-2limitations

    3+limitations

    Physical limitations**

    Respondents with poor health status, with diseases and physical limitations were more inclined to feel lonely

    **P

  • Results and findings… cont. 25

    Family Interaction & Support

    60.9 66.9

    39.1 33.1

    Noncoresidence

    Coresidencewith children

    Living Arrangement**

    Not Lonely Lonely

    66.9 63.2

    33.1 36.8

    No Yes

    Food and Other Necessities*

    67.3 62.6

    32.7 37.4

    No Yes

    Care Giving*

    67.4 62

    32.6 38

    No Yes

    Emotional Support**

    Feeling lonely is higher among those who are not living with their children and received supports from their children in the form of food and other necessities, care giving and

    received emotional support.

    **P

  • Results and findings… cont. 26

    Social Activities

    55.8 67.2

    44.2 32.8

    No Yes

    Religous Participation**

    Not Lonely Lonely

    61.5 74.5

    38.5 25.5

    No Yes

    Leisure Activity**

    61.5 74.5

    38.5 25.5

    No Yes

    Community Participation**

    62.7

    83.2

    37.3

    16.8

    No Yes

    Internet Usage**

    Feeling lonely is lower among those who participated in religious; leisure activities; community participation and internet usage

    **P

  • Results and findings… cont. 27

    Logistics Regression

    Variable Sig. OR 95% CI Age_group (ref:60-64) 65-69 0.520 1.06 (0.88-1.28)

    70-74 0.203 0.87 (0.69-1.08)

    75+ 0.832 1.03 (0.81-1.30)

    Male* 0.007 0.78 (0.65-0.93)

    Ethnicity (ref: Malay) Other Bumiputra 0.059 1.28 (0.99-1.65)

    Chinese* 0.000 0.40 (0.32-0.51

    Indian 0.286 0.85 (0.63-1.15)

    Urban* 0.022 0.83 (0.71-0.97)

    Divorced* 0.000 2.22 (1.86-2.65)

    Educational Level (ref: no schooling)

    Primary* 0.000 0.69 (0.57-0.85)

    Secondary* 0.000 0.60 (0.46-0.77)

    Tertiary* 0.001 0.44 (0.26-0.72)

    Currently Working 0.852 0.98 (0.81-1.19)

    Saving (ref: none) 1-2 savings* 0.009 0.81 (0.69-0.95)

    3+ savings* 0.000 0.58 (0.46-0.74)

    Health status (ref: good) Fair* 0.008 1.27 (1.07-1.52)

    Poor* 0.000 1.98 (1.53-2.55)

    Variabel Sig. OR 95% CI Disease (ref: none) 1-2 diseases 0.511 1.07 (0.88-1.30)

    3+ diseases 0.137 1.20 (0.95-1.51)

    Physical_limitation (ref: none) 1-2 limitations 0.166 1.15 (0.95-1.39

    3+ limitations * 0.000 1.75 (1.37-2.24)

    Coresidence with children* 0.000 0.69 (0.59,0.80)

    Received money 0.481 1.08 (0.88-1.31)

    Payment of bills 0.764 0.97 (0.82-1.16)

    Food and other necessities 0.125 0.86 (0.71-1.04)

    Housework 0.388 0.92 (0.76-1.11)

    Care giving 0.817 0.98 (0.81-1.18)

    Emotional support* 0.003 1.28 (1.09-1.50)

    Religious participation* 0.007 0.78 (0.65,0.93)

    Leisure activity 0.356 0.91 (0.74-1.11)

    Community participation 0.689 0.96 (0.77-1.19)

    Internet usage 0.648 0.92 (0.64-1.32)

    Chi Square : 4.842; P value: 0.774

    Results from the logit model show that demographic and socioeconomic factors, health, co residence with children, emotional support and religious participation have significant effects on the feelings of loneliness among older persons.

    INTCESS16

  • Summary and conclusion

    Slightly more than one third (36%) of Malaysian elderly experienced loneliness

    Gender – male elderly is less likely to feel lonely than female

    Ethnicity – No significance difference between and other Bumiputra and the Malays but Chinese is less likely to feel lonely than the Malays elderly

    Place of residence – urban respondents are less likely to feel lonely than rural

    Marital status – widowed elderly is two times more lonely than the married elderly

    Education level – those respondents with no education are more likely to feel lonely than their counterparts

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  • Summary and conclusion… cont.

    Savings – the more savings they have the less likely they felt lonely

    Physical limitations – the higher their limitations the lonelier they felt as compared to those that are more mobile

    Co-residence – those that stayed with their children experience less lonely than otherwise.

    Emotional support – those with emotional support less likely to feel lonely

    Social activity – religious activities keep them busy and less lonely.

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    29

  • Acknowledgement

    The authors are grateful to the National Population and Family Development Board of Malaysia for granting the permission to use the 2014 Malaysian

    Population and Family Survey data

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  • THANK YOU

    [email protected]

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