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Drinking profiles , social capital - PowerPoint Presentation

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Drinking profiles , social capital - PPT Presentation

and health in later life 20132014 Clare Holdsworth PI Nicola Shelton Marina Mendonça Hynek Pikhart Martin Frisher Cesar Oliveira Background Levels of alcohol consumption increased for middle and older age groups in the last 30 years for both men and women Smi ID: 777803

drinking health alcohol social health drinking social alcohol drinker variables heavy women men capital consumption age ref older drinkers

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Slide1

Drinking profiles, social capital and health in later life (2013-2014)

Clare Holdsworth (PI)Nicola SheltonMarina MendonçaHynek PikhartMartin FrisherCesar Oliveira

Slide2

BackgroundLevels of alcohol consumption increased for middle and older age groups in the last 30 years for both men and women (Smith and Foxcroft, 2009).Cohort effect (i.e. Generation)Period effect (e.g. more financial resources)Age (e.g. active ageing and greater life expectancy)

Number of elderly population expected to increase 38% in the UK by 2031 (IAS, 2010): Alcohol consumption among the elderly - cause of public concern

Slide3

BackgroundU-shape relationship between alcohol consumption and health: Poorer health associated with abstainers (e.g. ‘sick-quitter’ hypothesis ) or excessive drinkers (e.g. Polen et al, 2010).

Relation between drinking and health contradictory in older ages: Alcohol consumption associated with more physical and mental health problems and higher mortality rates (e.g. Crome, et al. 2011; Dar, 2006; NHS Information Centre, 2008) But, some studies found no association between levels of alcohol consumption and health (e.g. Lang, et al., 2007).

Slide4

BackgroundAlcohol consumption and health moderated by social capital (Bloomfield et al., 2006; Marmot 2005) Alcohol Harm Paradox: Higher social position associated with higher alcohol consumption and better health, whereas alcohol-related illness and mortality linked with deprivation. Research on drinking behaviours focused both on quantity

and frequency of drinking. But findings suggest that they are not equally associated with health and social capitalUnpacking complexity : Explore relationship between different drinking behaviours/profiles and its association with health and social capital

Slide5

AimsTo identify and characterize drinking profiles in older ageTo analyse how these

drinking profiles are associated with social capital, health and socio-demographic characteristics

Slide6

Data

ELSA W0 (HSE): Baseline for alcohol variables Present study: W0: Drinking and health variables

W1: Social capital variables

1998

1999

2001

W6

2012/13

W4

2008/9

W5

2010/11

W3

2006/7

W2

2004/5

W1

2002/3

N = 11205

English Longitudinal Study of Ageing (ELSA):

Panel study of people living in England aged 50 and older

Slide7

Drinking Variables

Drinking ProfilesDrinking StatusAmount of Alcohol

Frequency of drinking

Non-drinker

Non-Drinker

Drinker

Below Limits

(Men ≤21 units;

Women≤ 14 units)

Occasional

(≤ 4 days)

Low Drinker

Daily

(≥ 5days)

Steady Drinker

Above Limits

(Men > 21 units

Women > 14 unit)

Occasional

(≤ 4 days)

Focal Drinker

Daily

(≥ 5days)

Heavy Drinker

Social Capital & Health Variables

Level of Education

Wealth Quintiles

SES

Self-Rated

Health

Socio-demographic

Age

Marital Status

Variables

Slide8

Variables

Men (%)(n = 5057)

Women (%)

(n = 6148)

All (%)

(N = 11205)

Mean age at baseline

62.09 (9.97)

62.63 (10.49)

62.39 (10.26)

45-64

60.90

59.22

59.98

65-74

25.71

24.69

25.15

75 +

13.39

16.09

14.87

Marital Status

Single

6.39

4.98

5.62

Married/remarried

76.03

61.04

67.81

Separated/divorced

9.20

12.32

10.91

Widowed

8.39

21.66

15.67

Educational Qualification

No

qualification

37.00

48.01

43.04

Intermediate35.5834.7335.11 High27.4217.2521.84Wealth Bottom quintile17.7721.0719.57 2nd quintile19.8820.1120.00 3rd quintile19.7420.1719.97 4th quintile21.0219.2120.03 Top quintile21.6019.4420.42SES Manual50.3636.4042.69 Non Manual48.2759.7954.60Self-Rated Health Poor Health9.818.399.03 Fair Health23.7525.0724.48 Good Health66.4466.5466.49

Descriptives

:

Socio-demographic, social capital and health variables by gender

Slide9

Descriptives: Percentage distribution of drinking patterns

by gender

Slide10

Multinomial Logistic Regression: Odds of being Steady and Heavy/Binge Drinker versus Low Drinker

Note: *** p<.001, **p<.01, *p<.05

Steady

Heavy/Focal

Men

Women

Men

Women

Age groups (Ref: 45-64)

65-74

1.54***

1.94***

.75**

.92

75+

2.21***

3.05***

.53***

.78

Mar. Stat. (Ref: Married)

Single

1.38

.67

1.60**

.79

Separated/divorced

.76

.80

1.46**

1.06

Widowed

.96

.81

1.57**

.93

Self-Rat. Heal. (Ref: Poor)

Fair

.90

.92

1.24

.82

Good

.71

1.03

1.46**

1.03

Educ. Qual. (

Ref.:No

qual.) Intermediate1.141.251.19*1.27* High1.45**1.77***1.45***1.57***Wealth (Ref.:Bottom) 2nd1.081.121.041.08 3rd1.281.08.861.02 4th1.77**1.55*1.011.33 Top2.36***2.47***1.34*2.00***SES (Ref.: Manual) Non Manual1.171.41**.971.63***

Slide11

SummaryGender: Important moderator of drinking behaviours. Men are more likely to be drinkers and to be heavy/focal drinkers than women. Age: Older participants are more likely to be steady drinkers, while those at ‘younger’ older ages are more likely to engage in heavy/focal drinking.

Health: Drinking profiles are generally not associated with self-rated health, but male heavy drinkers are more likely to report better health. Social Capital: People in higher social position are more likely to be steady and heavy drinkers. This association is stronger for women. Marital Status: Being married seems to be a protective factor for men against heavy drinking

Slide12

Thank you for your attention!

For further information please contact mmendonca@keele.ac.uk

Slide13

VariablesMen (%)

(n = 5057)Women (%)(n = 6148)All (%)(N = 11205)Mean age at baseline

62.09 (9.97)

62.63 (10.49)

62.39 (10.26)

45-64

60.90

59.22

59.98

65-74

25.71

24.69

25.15

≥75

13.39

16.09

14.87

Marital Status

Single

6.39

4.98

5.62

Married/remarried

76.03

61.04

67.81

Separated/divorced

9.20

12.32

10.91

Widowed

8.39

21.66

15.67

Educational Qualification

No qualification

37.00

48.01

43.04

Intermediate

35.58

34.73

35.11

High

27.42

17.25

21.84Wealth

Bottom quintile

17.7721.0719.572nd quintile19.8820.1120.003rd quintile19.7420.1719.974th quintile21.0219.2120.03Top quintile21.6019.4420.42SESManual50.3636.4042.69Non Manual48.2759.7954.60Self-Rated HealthPoor Health9.818.399.03Fair Health23.7525.0724.48Good Health66.4466.5466.49Drinking ProfilesNon-drinkers7.3613.8610.93Low drinkers53.5563.9959.28Steady drinkers12.198.189.99Focal drinkers7.162.674.70Heavy drinkers19.7511.2915.10Descriptives: Sociodemographic, Health and Drinking Variables by Gender