| Literature DB >> 30421322 |
Therese Rydberg Sterner1,2, Felicia Ahlner3,4, Kaj Blennow5,6,7, Synneve Dahlin-Ivanoff5,8, Hanna Falk5,9, Lena Havstam Johansson5,10, Maria Hoff5,11, Mathias Holm5,12, Helena Hörder5,9, Tina Jacobsson5,9, Boo Johansson5,13, Lena Johansson5,9, Jürgen Kern5,9, Silke Kern5,9, Alejandra Machado14, Madeleine Mellqvist Fässberg5,9, Johan Nilsson5,9, Mats Ribbe5,9, Elisabet Rothenberg5,9,15, Lina Rydén5,9, André Sadeghi5,11, Simona Sacuiu5,9, Jessica Samuelsson5,9, Robert Sigström5,9, Johan Skoog5,13, Valgeir Thorvaldsson5,13, Margda Waern5,9, Eric Westman14, Hanna Wetterberg5,9, Henrik Zetterberg5,6,7,16,17, Madeleine Zetterberg5,18, Anna Zettergren5,9, Svante Östling5,9, Ingmar Skoog5,9.
Abstract
To improve health care for older persons, we need to learn more about ageing, e.g. identify protective factors and early markers for diseases. The Gothenburg H70 Birth Cohort Studies (the H70 studies) are multidisciplinary epidemiological studies examining representative birth cohorts of older populations in Gothenburg, Sweden. So far, six birth cohorts of 70-year-olds have been examined over time, and examinations have been virtually identical between studies. This paper describes the study procedures for the baseline examination of the Birth cohort 1944, conducted in 2014-16. In this study, all men and women born 1944 on specific dates, and registered as residents in Gothenburg, were eligible for participation (n = 1839). A total of 1203 (response rate 72.2%; 559 men and 644 women; mean age 70.5 years) agreed to participate in the study. The study comprised sampling of blood and cerebrospinal fluid, psychiatric, cognitive, and physical health examinations, examinations of genetics and family history, use of medications, social factors, functional ability and disability, physical fitness and activity, body composition, lung function, audiological and ophthalmological examinations, diet, brain imaging, as well as a close informant interview, and qualitative studies. As in previous examinations, data collection serves as a basis for future longitudinal follow-up examinations. The research gained from the H70 studies has clinical relevance in relation to prevention, early diagnosis, clinical course, experience of illness, understanding pathogenesis and prognosis. Results will increase our understanding of ageing and inform service development, which may lead to enhanced quality of care for older persons.Entities:
Keywords: Ageing; Birth cohort; H70 study; Health; Population sample; Study design
Mesh:
Year: 2018 PMID: 30421322 PMCID: PMC6373310 DOI: 10.1007/s10654-018-0459-8
Source DB: PubMed Journal: Eur J Epidemiol ISSN: 0393-2990 Impact factor: 8.082
Fig. 1Overview of birth cohorts (age inside square) and examination years in the Gothenburg H70 Birth Cohort Studies
Fig. 2The underlying theoretical framework in the Gothenburg H70 Birth Cohort Studies
The H70 study sample (participants and non-participants) in 2014–16
| Women | Men | Total | |
|---|---|---|---|
| Eligible samplea | 961 | 878 | 1839 |
| Excluded from sample | 67 | 105 | 172 |
| Could not be traced | 26 | 32 | 58 |
| Unable to communicate in Swedish | 24 | 29 | 53 |
| Not living in Gothenburg | 9 | 23 | 32 |
| Deceased | 8 | 21 | 29 |
| Effective sample | 894 | 773 | 1667 |
| Non-participantsb | 250 | 214 | 464 |
| No given reason | 108 | 87 | 195 |
| Reported illness or injury | 78 | 61 | 139 |
| Regularly health check-ups | 66 | 54 | 120 |
| Relative declined | 13 | 20 | 33 |
| Too busy | 14 | 20 | 34 |
| Fear | 18 | 14 | 32 |
| Too healthy | 8 | 5 | 13 |
| Total sample | 644 | 559 | 1203 |
aResidents in Gothenburg (including parts of the municipalities of Ale, Kungsbacka, Kungälv, Lerum, Mölndal) according to the Swedish Population Register, Swedish Tax Agency 2014
bNon-participants can be included in more than one self-reported category (one person wished to have their data destroyed after participation)
Sample characteristics of 70-year-olds born 1944, participating in the H70 study 2014–16
| n | Men | Women | Total | |
|---|---|---|---|---|
| Marital status, % (n) | ||||
| Having partnera | 1196 | 80.5 (449) | 62.1 (396) | 70.7 (845) |
| Widowed | 1196 | 4.3 (24) | 11.9 (76) | 8.4 (100) |
| Divorced | 1196 | 10.4 (58) | 22.9 (146) | 17.1 (204) |
| Singleb | 1196 | 4.1 (23) | 3.1 (20) | 3.6 (43) |
| Other | 1196 | 0.7 (4) | 0 (0) | 0.3 (4) |
| Education, % (n) | ||||
| Primary education ≤ 9 year | 1192 | 19.3 (107) | 15.2 (97) | 17.1 (204) |
| More than primary education > 9 year | 1192 | 80.7 (447) | 84.8 (541) | 82.9 (988) |
| University degree | 1132 | 31.9 (169) | 25.5 (154) | 28.5 (323) |
| Country of birth, % (n) | ||||
| Sweden | 1195 | 82.2 (458) | 86.5 (552) | 84.5 (1010) |
| Nordic countries | 1195 | 5.2 (29) | 5.3 (34) | 5.3 (63) |
| European countries | 1195 | 7.5 (42) | 6.0 (38) | 6.7 (80) |
| Other | 1195 | 5.0 (28) | 2.2 (14) | 3.5 (42) |
| Average net income (per month), mean | ||||
| Individual incomec | 949 | 19,862 | 13,718 | 16,618 |
| Individual pensiond | 740 | 17,783 | 13,047 | 15,109 |
| Household incomec | 912 | 31,974 | 24,082 | 27,880 |
| Average net income (per month), median | ||||
| Individual incomec | 949 | 16,500 | 12,000 | 14,000 |
| Individual pensiond | 740 | 15,000 | 12,000 | 13,225 |
| Household incomec | 912 | 28,900 | 22,000 | 25,000 |
| Paid labour, % (n) | ||||
| Working part-time | 1195 | 15.4 (86) | 9.9 (63) | 12.5 (149) |
| Working full-time | 1195 | 4.8 (27) | 0.6 (4) | 2.6 (31) |
| Working in periods | 1195 | 8.1 (45) | 5.2 (33) | 6.5 (78) |
| Housing, % (n) | ||||
| Sheltered living | 1188 | 2.3 (13) | 1.9 (12) | 2.1 (25) |
| Mini-Mental State Examination, mean | ||||
| MMSE scoree | 1187 | 28.6 | 28.9 | 28.8 |
| Smoking, % (n) | ||||
| Current smoker | 1191 | 7.4 (41) | 11.2 (71) | 9.4 (112) |
| Previous smoker | 1191 | 55.9 (310) | 50.0 (318) | 52.8 (628) |
| Having children, % (n) | ||||
| Yesf | 1185 | 87.5 (484) | 87.0 (550) | 87.3 (1034) |
| Internet, % (n) | ||||
| Using internet every day | 1137 | 68.5 (358) | 63.5 (390) | 65.8 (748) |
| Never using internet | 1137 | 12.6 (66) | 11.2 (69) | 11.9 (135) |
aIncluding living with partner, living apart from partner, and married
bIncluding single and never married/living with partner
cIncluding paid labour and pensions (SEK)
dIncluding only those not working and having pension as only income (SEK)
eMMSE has a maximum score of 30
fIncluding live biological and non-biological children
Fig. 3Sample flow chart for the H70 study 2014–16
Fig. 4Study protocol for the H70 study 2014–16
Overview of the self-rating questionnaires included in the H70 study 2014–16
| Instrument | n (Men, women; response rate) | Content | References |
|---|---|---|---|
| Capability | |||
| ICECAP-O | 1040 (482 men, 558 women; 86.5%) | The ICEpop CAPability measure for Older people comprises five questions measuring individual quality of life with a capability approach | [ |
| Health | |||
| GAF | 1130 (519 men, 611 women; 93.9%) | The Global Assessment of Functioning comprises two questions measuring the social, occupational, and psychological functioning | [ |
| PHOBIAS | 1134 (522 men, 612 women; 94.3%) | Specific phobia is measuring with 60 items (e.g. snakes, elevators, blood) | a |
| PSS-14 | 1135 (523 men, 612 women; 94.3%) | The Percieved Stress Scale comprises 14 questions measuring general perceived stress | [ |
| SF-36 | 1137 (524 men, 613 women; 94.5%) | The Short-Form Health Survey comprises 36 questions measuring physical, mental and social health | [ |
| SOC | 1138 (525 men, 613 women; 94.6%) | The Sense of Coherence questionnaire comprises 13 questions measuring comprehensibility, manageability, and meaningfulness | [ |
| VFQ-25 | 1139 (525 men, 614 women; 94.7%) | The Visual Function Questionnaire comprises 25 questions measuring global vison, difficulty with near and distance activities, limitations in social functioning, role limitations, dependency on others and mental health symptoms due to vision, driving difficulties and ocular pain | [ |
| Life style | |||
| ACTIVITIES | 1140 (524 men, 616 women; 94.8%) | Leisure time activities and interests, religious belief, and media consumption are measured with 60 questions | a |
| AUDIT | 1134 (520 men, 614 women; 94.3%) | The Alcohol Use Disorders Identification Test comprises 10 questions about alcohol consumption measuring frequency, amount (standard drinks), and alcohol-related dependence, consequences and harm | [ |
| DIET | 1142 (526 men, 616 women; 94.9%) | Dietary pattern (quantity and variety when consuming specific food products) is measured with 16 questions | a |
| DUDIT | 1137 (524 men, 613 women; 94.5%) | The Drug Use Disorders Identification Test comprises 10 questions about drug consumption (e.g. cannabis, cocaine or overconsumption of prescribed medication) measuring frequency, amount and dependence, consequences and harm | [ |
| EDI | 1143 (528 men, 615 women; 95.0%) | Body image and emotions attitudes towards eating are measured with 13 questions | [ |
| IPAQ | 1040 (482 men, 558 women; 86.5%) | The International Physical Activity status Questionnaire comprises 10 questions measuring physical activity during the past 7 days | [ |
| RELATIONSHIPS | 1138 (525 men, 613 women; 94.6%) | Social network (family, friends, neighbors and pets) is measured with 39 questions | a |
| Personality | |||
| CMPSb | 242 (116 men, 126 women; 82.0%) | The Cesarec Marke Personality Scheme comprise 165 questions measuring the personality traits achievement, affiliation, aggression, defense of status, guilt feelings, dominance, exhibition, autonomy, nurturance, order and succorance | [ |
| EPI | 1140 (526 men, 614 women; 94.8%) | The Eysenck Personality Inventory comprises 57 questions measuring the personality traits extraversion and neuroticism | [ |
| NEO-FFI-3 | 1141 (524 men, 617 women; 94.8%) | The NEO Five Factor Inventory comprises 60 questions measuring the personality traits neuroticism, extraversion, openness, agreeableness, and conscientiousness | [ |
| PN-SRI | 1138 (526 men, 612 women; 94.6%) | The Positive–Negative Sex-Role Inventory comprises 24 questions measuring gender coded personality traits within femininity, masculinity, and androgyny | [ |
| Socioeconomic status | |||
| INCOME | 1121 (518 men, 603 women; 93.2%) | Individual income and total household income are measured with six questions | a |
| WORK | 1127 (518 men, 609 women; 93.7%) | Previous and current working states, together with ratings of subjective work capacity are measured with three questions | a |
aSelf-constructed questionnaire
bOnly a subsample (n = 295) were asked to answer the Cesarec Marke Personality Scheme (CMPS), to increase comparability of personality traits measured in previous phases of the H70 study
Computed tomography (CT-scan) and Magnetic Resonance Imaging (MRI) acquisition parameters in the H70 study 2014–16
| CT | n (men/women) | Slice thickness | Rot. time | Pitch | Increment | Acquisition matrix (mm) | Filter | Windowing |
|---|---|---|---|---|---|---|---|---|
| Brain helical | 434/481 | 0,9 | 0.4 | 0.392 | 0.45 | 512 × 512 | Brain std (UB) | C35 W70 |