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Havana Woman. Body composition analysis and changes according to risk factors




Enviado por csantos



    Original Article

    1. Abstract
    2. Introduction
    3. Material and
      Methods
    4. Methods
    5. Data
      processing
    6. Results
    7. Discussion
    8. Conclusions
    9. Bibliography
    10. Tables

    Abstract

    Introduction: There are few studies
    on risk factors about quality life on Cuban woman. One
    well-recognized sequel of sedentary life habits is obesity.
    Material and methods: In a population-based sample of 1074
    women (age 20-70 years, obtained during the years from 1998 to
    2002, taking into account ethnical origin and criteria from the
    International Biological Program, we evaluated body composition
    and bone density at total body and four skeletal sites by
    dual-energy x-ray absorptiometry (DXA). Data are given as mean,
    standard deviation and percentile distribution. In multivariate
    analysis of determinants of total body composition among an
    aged-stratified sample obesity frequency was studied, considering
    those that were above 95th percentile of their native
    critical limits for total body fat (%), adiposity index, body fat
    trunk (%), body fat legs (%) and body fat arm (%). Bone mass loss
    was estimated using odd ratio test by
    Mantel-Haenszel with the following risk factors: physical
    activity, coffee intake, and daily calcium intake on puberty and
    previous week. Multiple regression analysis step by step was
    performed. All data were recorded in a database system using SPSS
    for Windows,
    version 10.1

    Results: Different patterns of age-related change
    were found on our patients for adiposity index and regional fat
    distribution. It was observed a strong tendency showing that body
    fat arm, body fat trunk and body fat leg increased according with
    age (p< 0.00). Obesity frequency considering adiposity index
    was 48% on women between 50-59 years old. Conclusions: We
    conclude there exists an increase probability risk of diabetes,
    hypertension, osteoporosis and
    cardiovascular disease in women from fifty years old on. Physical
    activity habits, kind of daily diet at critical moments and
    biosocial background on which the Cuban woman develops her life,
    mark her quality life on aging.

    Key words: adiposity index, obesity, body
    composition, lean mass, risk, osteoporosis,
    native critical limit and Havana woman.

    Introduction

    In spite of the concern that now-a –days exists in
    the world by an esthetic ideal of slenderness, populations tend,
    in an increasing way, to a life style that promotes obesity.
    Additionally, there are evidences that obesity, type II diabetes and
    cardiovascular disease share common genetic background, as well
    as the environmental risk. 1, 2

    In the Cuban environment these metabolic aspects in
    women have been poorly studied. Author Teresa Lazka describes
    that in the sixties of the last Century young women from Havana
    presented development rhythms that were higher to the ones
    described by Rouma in 1920, and comments the roll of this old
    tendency that accomplishes during the years 1880 to 1950
    increases of more than 1 cm by decade in
    adults3,4..

    This facts, together with a menarche at significant low
    age, characterizes the young Cuban with an acceleration of mature
    rhythms, that this researcher explained as a result of the
    interaction between genetic and environmental factors, such as
    climate, considering them as adjustment mechanisms.

    It has been demonstrated that the dietetic consume of
    calcium during puberty has a significant influence in both
    physical and bone development in the Cuban population studied.
    This information coincides with the appreciation of another
    authors about the ingestion of calcium as protector factor during
    the critical moments of growth5, 6,
    7..

    Body fat trunk and sedentary habits increase with age,
    being more evident in women with amenorrhea of more than 5 years,
    in contrast with women that are still in reproductive age7,
    8, 9.

    Remodeling changes of the corporal composition in young
    women from the East and the West of our country, studied during
    17 months during the years 1989 to 1990, presented significant
    increases in lean mass and tricipital fat, that contrasted with
    the diminishing of bicipital fat and that of the legs
    [p<0,05)] after a controlled regime of daily physical
    exercises and a well equilibrated diet10

    The purpose of this research about female population is
    to contribute to an integral evaluation of the problem related to
    corporal composition and the expectation of quality life for
    women during the third age in our environment.

    Material and
    Methods

    This paper presents the results of a transversal
    study11 about the corporal composition in total
    bodies, as well as the figures of bone density in four anatomical
    places in a Havana population of 1074 healthy women between 20
    and 70 years old, obtained from1998 to 2002, that were considered
    regarding the ethnical origin in accordance with the criteria of
    the International Biological Program12.

    The medical records were studied in order to disregard,
    as an exclusion criteria, smoking habit, chronic kidney disease,
    endocrinal, hepatic or metabolic disorders, early menopause or
    ophorectomy before 50 years old, nephrolitiasis or use of
    medication like corticoids, anticonvulsant, heparin or hormonal
    replacement therapy and/or ingestion of mineral supplements. As
    menopausal women were considered those with more than six months
    of amenorrhea.

    Methods

    We established the composition of lean mass (kg),
    adiposity index [fat tissue (kg)/lean mass (kg)], fat tissue (kg)
    and its relative composition (%) for total body and by anatomical
    regions (trunk, arms and legs), as well as the bone mineral
    density (BMD) in grams and by square centimeter for lumbar
    vertebras [L1 – L4] in anterior-posterior view, femur neck,
    Ward triangle and trochanter for the whole sample, by the
    measurement of the total body and of the regions using the
    technique of dual-energy x-ray absorptiometry (DXA).

    The data are considered and compared with the references
    of bone density in Cuban female population from 20 to 39 years
    old, Mexican and North American, as well as the peak of bone mass
    for femur neck, Ward triangle, trochanter and lumbar vertebras
    (anterior-posterior view) obtained in this investigation and the
    percentiles distributions for each age group. Risk of
    osteoporosis is evaluated by the criteria from the World Health
    Organization13.

    The frequency, by ages, of women with adiposity index
    and corporal composition higher than percentile 95 and two
    standard deviation above the mean of fat and lean mass,
    determined by the technique of densitometry of total body in
    absolute and relative values, as well as by anatomical regions
    according to the peak expression in our population between 20 and
    29 years old is established. This is compared with groups of
    Cuban and Spanish population measured by anthropometrical
    techniques14 15 16.

    Variation coefficients for vertebras, femur neck and
    total body were of 0, 8%, 1% and 0, 8% respectively.

    Data
    processing

    Results are shown in percentiles, means and distribution
    measurements, such as, standard deviation, analysis of variance
    (Anova) and Student test for
    independent samples, with the purpose of determining the
    differences according to age, amenorrhea appearance and ethnical
    origin in relation to the critical limits established by the
    World Health Organization and peak values of bone density in
    young Cuban population. Declination has been compared with the
    maximum value of the peak obtained between 20 and 29 years old
    (%). In order to avoid the influence of the body size on the
    variables of
    bone density, coefficients for height were used.

    Risk variables,
    such as calcium consumption in puberty (mg/day), coffee
    consumption in the previous week of the study (cups/day) and
    frequency of physical exercises (more than three times per week
    in the previous two years) are analyzed in their association with
    the loss of bone density, according to different anatomical
    places (trabecular and cortical) in the female population less
    than 40 years old. The study was made via control cases by
    pairs as stipulates the criteria of Odds ratios from
    Mantel-Haenszel, using confident intervals and Chi Square
    estimation with a level of confidence of
    95%17,18.

    Dependent and independent character of the variables was
    considered, by means of double classification analysis of
    variance for normal distributions and Friedman test for
    non-lineal ones. Logarithm transformation was applied to
    variables with semilogarithm distribution.

    The dietetic survey was performed using the criteria of
    frequency of consumption through interviews made by a
    nutritionist, emphasizing the ingestion of calcium during ages
    between 11 and 16 years old and in the previous week of the
    measurements. These figures have been compared with the ones
    recommended by the European Economic Community that establish as
    sufficient ingestion of calcium the amount of 700 mg per day and
    as critical level 400 mg per day19. All the
    statistical analysis was performed using the SPSS/PC software version 10, 01 from
    Chicago, Illinois.

    RESULTS

    Women in this study, from the fourth decade of live on;
    maintain a sustained increase in corporal fat that reaches its
    maximum in the seventh decade of live (increase of 8,5 kg as
    average after 30 years old). The percentile distribution of
    corporal composition in Havana women from this research presents
    interesting changes when women go from the third to the fourth
    decade of life. The average increase is 6.6 kilogram of corporal
    fat (+42,3% of change) with its corresponding outstanding
    increase of fat in the analysis of the relative composition,
    mainly taking into account that height, lean mass and bone
    density do not experiment substantial changes in this stage of
    live. (Tables 1 and 2, 2a, 2b).

    Accumulation of fat in the region of trunk and arms are
    the ones that are most impressive in this analysis, presenting
    increases of +41,8% and +37,6% respectively and with changes that
    are highly significant (p<0,001) from 34 years old on, as
    shows the analysis of variance. (Graphics 1 and 2).

    Fat in legs shows an interesting behavior. It presents a
    sustained increase from 30 years old on as the rest of the
    variables mentioned, but its main change occurs from 60 years old
    on (+36,6% of change) that is highly significant according to the
    analysis of variance (p<0,00).(table 2a and graph
    2).

    Sedentarily(leisure time) as a dependent variable,
    presents a highly significant association (p<0,00) in the step
    by step linear regression, with F values of 22,0; 20,8; 19.0;
    18.6; 11.4; 11.4 and 10.4 for fat in arms, legs, trunk and whole
    body (%) and for vertebral density, Ward triangle and trochanter
    in the population under 40 years old.(table 2b).

    Risk variables such as dietetic consumption of calcium
    and coffee and systematic exercise, also showed significant
    association and specific relation with the type of bone tissue
    (trabecular and/or cortical).

    Calcium consumption during puberty (p<0, 05) and
    coffee ingestion in the week previous to this study (p<0,001)
    resulted significantly associated with bone loss in the
    anatomical places that are trabecular predominant. The index of
    association between exercise and calcium consumption, in the
    previous week to the measurements made, in relation to bone
    density loss show a probability that is highly significant
    (p<0,00) for both types of anatomical places. (Table
    3)

    The effect of the type of exercise on the adiposity at
    different places can be clearly seen in Graphic 3 in women less
    than 40 years old, emphasizing that activities such as dancing
    and aerobic gymnasia produce changes in corporal remodeling with
    significant differences for fat in arms (p<0,05) as a
    multivariable analysis by linear regression shows.

    A tendency to moderate the frequency of the estimation
    in obese women according to the relative total fat (%) criteria
    is observed, with values higher than percentile 95 of the
    population of reference, that represent 48 % of the cases between
    women from 50 to 59 years old. When the evaluation is made using
    as limit two standard deviations above the average of the
    population of reference, the frequency of obesity goes to 66%.
    (Table 4)

    The frequency of our young women above two standard
    deviations from the average relative trunk fat is only 6 %, 6%
    between 30 and 39 years old and 8% between 40 and 49 years
    old.

    From 50 years old on an increase in this regional
    accumulation appears, and produces that 67% could be considered
    obese of central type according to this criteria. These
    differences by analysis of variance according to age are highly
    significant for a t value of 7, 2 (p<0, 00). Table
    5.

    The analysis of corporal composition in relation with
    the ethnical origin shows highly significant differences (t = 5,
    12, p<0,000) regarding lean mass. The women in the European
    ethnic group present a lower average than those with African
    roots or half-breeds, in the stage below 30 years old and in all
    the others.

    Fat in arms and legs were significantly inferior (t =
    3.14 and 2.3, p < 0, 05) in half-breeds and Havana Afro up to
    39 years old, with no relation to the systematic practice of
    exercise or not. The adiposity index does not present differences
    regarding the ethnical origin.

    Table 6 shows the risk of bone breaking in women from 50
    to 59 years old in a comparative way to other authors. It can be
    accepted that regarding hip fracture our average women has a
    lower risk than those of the populations in the comparative
    analysis; this risk is lower in the relation total body
    density/height to that of the female population in
    Minnesota34.

    Taking into account the ethnic origin and anatomical
    place of bone density of women between 50 and 59 years old, a
    higher risk index was found for bone fracture in European ethnic
    group women in the relation total body/height and femur neck and
    Ward triangle in the hip. In half-breed women only predominates
    the risk for lumbar vertebras with a highly significant
    difference (p>0, 00). (Table 6)

    The average age of the beginning of menopause in these
    women, presents differences according to the ethnical origin,
    corresponding to the Havana European ethnic group 47,3 years old,
    50,7 years old to the half-breeds and 51,7 years old to the Afro
    ones.

    The time of amenorrhea and the changes that correspond
    to the precocious postmenopausal period are evident starting from
    49 years old, confirming that bone density in the different
    anatomical places and relative fat trunk present changes
    associated with climacteric in its first five years.

    Declination for normalized bone mass according to the
    relation with height present a regional and ethnical behavior,
    being Ward triangle, femur neck and lumbar vertebras the places
    more affected for our European type and half-breed women
    (p<0,00) as the Student t test shows. On the other hand, in
    the Havana Afro women declination changes associated to time of
    amenorrhea are not significant.

    Variations in fat composition regarding total body
    associated with time of amenorrhea in women older than 45 years
    old show an interesting behavior (p<0, 00) in the multiple
    regression analysis; the dependent variable exercise practice
    gives total fat a predominant place of first order (F 8, 2), to
    trunk fat (F 7, 9) and to the variables fat in legs and lean mass
    (F 7, 1 and F 4, 02). Trunk fat present highly significant
    changes (p< 0,007). This is highlighted in Graphic
    4.

    Discussion

    Increase from early stages of sedentarily attitudes, fat
    deposited and its relation to type II diabetes, cardiovascular
    disease and osteoporosis constitute a gloomy shadow over the
    expectation in the quality of life of the third age
    population20 21 22,23
    24.

    In our environment the tendency to abdominal adiposity
    has been previously described by Díaz15, 16,
    that although does not analyzes the ethnical origin and uses
    indirect estimates that are based on anthropometrical techniques,
    which limitations are well known now-a-days, does study with more
    depth the distribution patterns of fat tissue in the body and
    shows the modifications in the corporal composition regarding the
    age in concordance with the relative reduction of lean mass,
    results that correspond with our research too.

    Alastrue in Spain has made an evaluation of the
    anthropometry of adiposity, starting from estimates of skin fold
    thickness in arm, abdomen and sub scapular. When changes are
    analyzed according to age, the percentile distribution of the
    relative corporal fat (%) in his women is similar to the one
    found in our research using densitometry
    techniques14.

    Since the sixties, Durnin and Womersley had already
    opened the door to estimates of adiposity though measures of skin
    fold thickness. The appearance of the dual- photon absorptiometry
    technique for studying the total bodies allowed the measurement
    of the skeleton and the composition of soft parts. In the last 30
    years this technique has been enhanced and constitutes a direct
    technique that offers the highest resolution and precision for
    the total body and its regions26 27
    28 29,30.

    The adiposity index presented in this study considers
    the relation of two direct quantitative variables: lean mass and
    fat tissue. It gives more precise information about the "gold
    standard" of autochthones measurements by dual – photon
    densitometry in total bodies. According to this indicator, our
    women between 50 and 59 years old present an obesity frequency of
    48%.

    A necessary reflection is that simultaneously with the
    changes observed in the composition of relative fat in our women
    after 40 years old, a diminution of approximately 2 kilogram of
    lean mass and a regional redistribution of fat mainly in trunk
    and arms is observed.

    According to these results and due to a predominant
    model of fat distribution in trunk and arms, it is necessary to
    meditate about its great probability of association with a higher
    risk of hypertension, dislipidemia and type II diabetes for our
    female population from 50 years old on. (Table 5)

    This type of regional distribution of fat, "apple" type
    has been extendedly commented by different authors for its
    metabolic implications like insulin resistance, overload in the
    flow of fat acids to the liver and its association with high
    figures of arterial tension and higher secretion of cortisol by
    stress 20,
    21,22, 23.

    Practice of systematic exercise is a protective factor
    after 60 years old, as showed Nelson in his studies. This author
    determines through hydrostatic weight that his sedentary women
    has 26,8 kg of corporal fat, composition similar to the
    percentile 50 of our women from 60 to 69 years old that sit for
    11,2 hours a day35.

    The research developed has demonstrated the importance
    of some osteoporosis risk factors. This coincides with the alert
    given by the MEDOS study that was completed in the Mediterranean
    countries31, the Mexican consensus32 for
    osteoporosis and some preliminary findings in Cuba7.
    These findings state that age, height, calcium ingestion during
    puberty, coffee intake, alcohol
    consumption and systematic exercise or sport practice have a
    significant association with bone mass loss. The results are
    supported by multivariable analysis7.

    Our women increase the number of hours they stay sitting
    and coffee intake from 30 years old on. This raises the question
    of how working environment and life style habits can be
    influencing the consumption of a substance with proved antagonist
    effects with calcium absorption, as well as introducing sedentary
    life habits.

    Another interesting appreciation is the protector
    character of half-breeding in the ethnical origin. According to
    some estimates our population is composed by 51% of half-breeds
    and 37% of European origin, which constitutes an important factor
    in the demographic composition of the current Cuban
    population38.

    We have to accept that in the complex phenomena studied
    some evidences stated by another authors are corroborated. They
    concur in affirming the effect of the variables studied and the
    impossibility of isolating them in their multiple actions from
    genetic factors, age, ethnical origin, climacteric time, type and
    frequency of physical activity, diet and its action in determined
    critical moments 1, 2,
    39,40,41,42,43, 44.

    .Conclusions

    The Health World Organization has recently estimated
    that more than 143 million people suffer from non-insulin
    dependent diabetes. Our country was placed with a tendency from
    75 to 349 people per 1000 habitants for the year
    202525.

    The results of our research show a clear tendency in the
    women studied to develop fat accumulation in the body central
    region, increase of sedentary habits and declination of bone mass
    according to the cycle of life. These results coincide with
    findings already described8,9,11,15,36,37.
    Osteoporosis as a health problem occupies a special place in this
    analysis about the expectation of the quality of life in the
    third age women population.

    The roll of environmental factors in the genesis of the
    changing phenomena analyzed in this study can be considered
    controversial. They could not be isolated from the demonstrated
    polygenic character43 nor from the consensus to accept
    that bone mass, corporal weight and gonad functions have common
    endocrinal regulations44, 45.

    These are only the first steps to an analysis in which
    our ethnical mixture can not be ignored, as well as idiosyncrasy,
    habits of time and type of physical activity, exposition to sun
    light, diet composition in critical moments and bio-psycho-social
    organization in which Cuban women develops.

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    Endocrinol Metab 66: 927-933

    36.Mazzuoli G., Acca M., Pisani D.,Diacinti D., Scorda
    A., Scarnechia L., Pacitti M.T.,D Erasmo E., Minsola S.,Bianchi
    G., Manfredi G., 2000. Annual skeletal balance and metabolic bone
    marker changes in healthy early postmenopausal women: results of
    a prospective study.Bone. 26: 381-386.

    37.Nguyen T.V., Center J.R., Eisman J.A.,
    (2000)Osteoporosis in elderly and women : effects of dietary
    calcium, physical activity and body mass index.J. Bone
    Miner.Res.15:322-331

    38. Analisis Demografico de poblacion
    cubana.(2001)Microsoft.Enciclopedia Encarta 2002.

    39. Abelow B.J.,Holford T.R.,Insogna K.L., 1992
    Cross-cultural association between dietary animal protein and hip
    fracture: a hypothesis.Calcif Tissue Int 50: 14-18

    40.Tucker ,K.,L.,Hannan, M.,T. and Douglas P. Kiel
    2001.The acid-base hypothesis: diet and bone in Framingham
    Osteoporosis Study.Eur J Nutr 40: 231-237

    41. Frassetto, L.A..,Todd,K.M,Morris,C.,jr,and Anthony
    Sebastian 2000.Worldwide incidence of hip fracture in elderly
    women: relation to consumption of animal and vegetable foods.J of
    Gerontology: Medical Sciences vol.55ª, no.10,
    M585-M592.

    42. Barnouin J., et M. Chassagne 1997.Programa de
    investigaciones SECUBA.Institut National de la
    Recherche Agronomique, France.

    43.Comuzzie A., and Allison D.B., 1998.The search for
    human obesity genes. Science.vol.280pp. 1374-1377

    44.Baldock, P.A., Sainsbury A., Consenzs M., Enriquez
    R., Thomas G.P.,Gardiner E.M., Herzog H., 2002.Hypothalamic Y2
    receptors regulate bone formation.J.Clin Invest, vol 109,
    no.7,pp.915-921.

    45.Karsenty G., 2002.Transgenic models to understand
    osteoporosis.Osteoporosis Int; vol 13 (supp 1): S 2

    Table
    1

    Body composition

    Percentile distribution, n =
    238

    Women 20 – 29
    years

    Havana city, Cuba 2003

    Percentile

     

     

    weight

    kg

    height cms

    Lean mass

    kg

    Adiposity

    index

    fat

    kg

    Arms

    fat

    %

    Relative fat

    %

    Legs

    fat

    %

    Trunk

    fat

    %

    3

    45.0

    147.0

    29.9

    0.28

    10.5

    30.0

    21.9

    20.5

    18.8

    5 *

    46.5

    150.0

    30.1

    0.29

    10.6

    30.0

    22.3

    20.5

    18.8

    10

    50.0

    154.0

    32.9

    0.32

    11.9

    31.8

    24.5

    20.9

    21.3

    25

    54.5

    157.0

    34.8

    0.39

    13.9

    37.4

    28.2

    26.0

    25.3

    50

    57.0

    160.0

    36.5

    0.44

    15.6

    41.4

    30.6

    29.2

    28.9

    75

    62.0

    162.5

    39.6

    0.53

    20.5

    48.5

    34.3

    32.7

    32.9

    90

    74.0

    170.0

    43.6

    0.66

    26.2

    51.7

    39.2

    36.6

    37.8

    95 *

    78.0

    173.0

    47.7

    0.79

    34.2

    52.0

    44.6

    40.2

    42.3

    97

    82.0

    175.0

    48.1

    0.82

    35.0

    52.0

    45.3

    40.2

    42.3

    Mean

    And

    Standard
    deviation

    58.9

    _+_8.8

    160.5

    _+_5.7

    37.5

    _+_4.2

    0.47

    _+_0.13

    17.7

    _+_5.7

    41.8

    _+_6.8

     

    31.4

    _+_5.3

    29.1

    _+_5.2

    29.1

    _+_5.8

    Table 1a

    Body composition

    Percentile distribution

    30 – 39 years, n =285

    Percentile

     

     

    weight

    kg

    height cms

    Lean mass

    kg

    Adiposity

    index

    fat

    kg

    Arms

    fat

    %

    Relative fat

    %

    Legs

    fat

    %

    Trunk

    fat

    %

    5

    44.6

    150.4

    32.8

    0.24

    8.04

    23.4

    19.1

    18.6

    15.1

    25

    54.0

    156.0

    34.4

    0.48

    16.7

    39.8

    32.1

    24.6

    29.1

    50

    63.0

    160.0

    36.8

    0.62

    22.2

    47.7

    38.1

    32.5

    34.9

    75

    73.0

    163.0

    39.2

    0.76

    28.4

    53.1

    43.3

    37.2

    39.1

    90

    82.2

    167.8

    41.1

    0.91

    36.4

    54.9

    47.7

    43.1

    41.3

    95

    89.0

    176.0

    43.2

    1.33

    47.1

    55.8

    56.9

    43.5

    44.0

    Mean

    And

    Standard
    deviation

    64.1

    _+_11.7

    160,6

    _+_5,9

    37.1

    _+_3.0

    0.64

    _+_0.24

    23.6

    _+_9.1

    45.9

    _+_8.8

    37.6

    _+_8.5

    31.7

    _+_7.8

    33.0

    _+_7.3

    Table 1b

    Body composition

    Percentile distribution

    40 – 49 years, n = 161

    Percentile

     

     

    weight

    kg

    height cms

    Lean mass

    kg

    Adiposity

    index

    fat

    kg

    Arms

    fat

    %

    Relative fat

    %

    Legs

    fat

    %

    Trunk

    fat

    %

    5

    54.3

    147.6

    31.6

    0.50

    17.3

    41.7

    33.1

    25.2

    29.7

    25

    58.0

    154.0

    32.8

    0.65

    21.5

    46.6

    36.7

    30.1

    32.2

    50

    62.5

    159.0

    35.6

    0.70

    25.6

    52.1

    42.2

    35.7

    37.2

    75

    75.8

    162.0

    40.9

    0.82

    31.7

    54.2

    45.5

    40.1

    39.5

    90

    86.0

    164.0

    42.9

    0.99

    40.4

    57.4

    46.6

    41.5

    40.7

    95

    88.4

    170.0

    46.3

    0.99

    42.4

    57.9

    46.7

    41.8

    40.8

    Mean

    And

    Standard
    deviation

    67.6

    _+_11.5

    158.9

    _+_5.6

    36.8

    _+_4.5

    0.73

    _+_0.15

    27.2

    _+_7.7

    51.1

    _+_4.7

    41.9

    _+_4.9

    34.4

    _+_5.6

    36.1

    _+_3.8

    Table 1c

    Body composition

    Percentile distribution

    50 – 59 years, n = 280

    Percentile

     

     

    weight

    kg

    height cms

    Lean mass

    kg

    Adiposity

    Index

    fat

    kg

    Arms

    fat

    %

    Relative fat

    %

    Legs

    fat

    %

    Trunk

    fat

    %

    5

    52.9

    146.0

    29.9

    0.46

    16.4

    44.7

    31.9

    26.9

    29.9

    25

    58.0

    155.0

    32.9

    0.65

    22.5

    51.4

    39.5

    34.3

    38.2

    50

    66.0

    157.0

    35.5

    0.77

    30.0

    54.6

    43.4

    37.8

    41.0

    75

    74.3

    161.3

    39.1

    0.87

    32.2

    57.7

    46.3

    40.1

    43.8

    90

    80.3

    167.1

    42.9

    0.91

    34.3

    60.3

    47.6

    41.3

    45.1

    95

    86.2

    170.1

    44.2

    0.96

    39.5

    60.3

    49.0

    42.3

    46.2

    Mean

    And

    Standard
    deviation

    67.2

    _+_9.9

    157.8

    _+_6.2

    36.2

    _+_4.0

    0.76

    _+_0.13

    27.6

    _+_6.3

    54.4

    _+_4.5

    42.7

    _+_4.5

    36.9

    _+_3.9

    40.8

    _+_4.1

    Table 1d

    Body composition

    Percentile distribution

    60 – 69 years, n = 110

    Percentile

     

     

    weight

    kg

    height cms

    Lean mass

    kg

    Adiposity

    index

    fat

    kg

    Arms

    fat

    %

    Relative fat

    %

    Legs

    fat

    %

    Trunk

    fat

    %

    5

    41.0

    137.0

    33.3

    0.65

    24.2

    45.0

    39.2

    33.2

    37.2

    25

    64.3

    152.5

    33.6

    0.75

    26.5

    49.4

    44.7

    37.4

    38.8

    50

    65.5

    157.0

    34.6

    0.81

    27.4

    57.0

    52.6

    39.2

    41.0

    75

    85.8

    163.8

    38.1

    1.11

    38.9

    61.0

    52.9

    46.6

    46.0

    90

    96.0

    170.6

    39.6

    1.12

    43.8

    62.3

    52.9

    48.3

    46.2

    95

    96.0

    173.0

    39.6

    1.12

    43.9

    62.3

    52.9

    48.3

    46.2

    Mean

    And

    Standard
    deviation

    71.4

    _+_16.2

    156.8

    _+_9.2

    35.5

    _+_2.5

    0.88

    _+_0.19

    31.3

    _+_7.6

    55.5

    _+_6.6

    46.3

    _+_5.4

    41.0

    _+_5.4

    41.9

    _+_3.6

    Table 2

    Body composition changes according
    age

    Median and variation ( % )
    *

    Havana city, Cuba

    1998-2003

    Body composition

     

    20 a 29

     

    30 a 39

     

    %

     

    40 a 49

    %

     

    50 a 59

     

    %

     

    60 a 69

     

    %

    weight

    kg

    57

    63

    10.5+

    62.5

    9.6+

    66

    *15.8+

    65.5

    *14.9+

    height cms

     

    160

     

    160

     

    0

     

    159

     

    -0.6

     

    157

     

    **-1.8

     

    157

     

    **-1.8

    Lean mass

    Kg

     

    36.5

     

     

    36.8

     

    0.8+

     

    35.6

     

    *- 2.4

     

    35.5

     

     

    *-2.7

     

    34.6

     

    *- 5.2

    *fat

    kg

    15.6

     

    22.2

    *42.3+

    25.6

    *64.1+

    30

    *92.3+

    27.4

    *75.6+

     

    *Arms

    fat

    %

    41.4

    47.7

     

    *15.2+

    52.1

    *25.8+

    54.6

    *31.8+

    57

    *37.6+

    • * high significant difference change p
      <0.001
    • ** significant difference change p
      <0.05

    Table 2a

    Body composition changes according
    age

    Median and variation (%)
    *

    Havana city, Cuba

    1998-2003

    Body composition

     

    20 a 29

     

    30 a 39

     

    %

     

    40 a 49

    %

     

    50 a 59

     

    %

     

    60 a 69

     

    %

     

    *Leg fat %

    29.2

    32.5

    11.3+

    35.7

    **22.6+

    37.8

    *29.4+

    39.9

    *36.6+

    *Trunk fat %

    28.9

    34.9

    *20.7+

    37.2

    *28.7+

    41

    *41.8+

    41.0

    *41.8+

    *Relative fat

    %

    30.6

    38.1

    *24 . 5+

    41

    *33.9+

    43.4

    *41.8+

    52.6

    *71.8+

    Adiposity index *

    0.44

    0.62

    *40.9+

    0.70

    *59+

    0.77

    *75+

    0.81

    *84+

    * high significant difference change p
    <0.001

    Table 2b

    Body composition changes according
    age

    Mean , standard deviation and
    variation (%) *

    Havana city, Cuba

    1998-2003

    Density

    20 a 29

     

    30 a 39

     

    %

     

    40 a 49

    %

     

    50 a 59

     

    %

     

    60 a 69

     

    %

     

    *Vert/

    height

    0,76

    _+_

    0,08

    0,76

    _+_

    0,08

     

    0

    0,76

    _+_

    0,10

     

    0

    0,69

    _+_

    0,10

     

    -9,2*

    0,65

    _+_

    0,10

     

    -14,5*

    *Femur/

    height

    0,65

    _+_

    0,08

    0,65

    _+_

    0,08

     

    0

    0,64

    _+_

    0,09

    1,5

    0,58

    _+_

    0,09

    10,8*

    0,55

    _+_

    0,08

    15,4*

     

    *Ward/ height

     

    0,62

    _+_

    0,09

    0,60

    _+_ 0,11

    3,2

     

    0,57

    _+_

    0,12

    8,07*

    0,50

    _+_

    0,11

    19,4*

    0,46

    _+_

    0,10

    25,8*

     

    *Troch./ height

     

    0,51

    _+_ 0,06

     

    0,51

    _+_ 0,06

     

    0

    0,52

    _+_

    0,08

    +

    1,96

    0,49

    _+_

    0,08

    3,9

    0,48

    _+_

    0,08

    5,9*

     

    Whole body/

    height

     

    0,72

    _+_ 0,05

    0,74

    _+_ 0,04

    +

    2,8

    0,77

    _+_

    0,05

    +

    7

    0,72

    _+_

    0,06

    +

    1,4

    0,73

    _+_

    0,05

    +

    1,4

    *Coffee

    Cups

    0.9

    _+_1.6

    2.3

    _+_1.9

    +

    155**

    3

    _+_1.6

     

    +

    233*

    4.1

    _+_1.9

    +

    355*

    0

    0

     

     

     

    *leisure

    Hours

     

    8.5

    _+_3.3

    9.9

    _+_3.2

    +

    16. 5**

    11

    _+_3.1

    +

    29.4*

    10.3

    _+_3.2

    +

    21. 2*

    11.2

    _+_3.1

    +

    31.8*

    • *high significant difference change p
      <0.001
    • ** significant difference change p
      <0.05

    Table 3

    Odd ratio risk according skeletal site
    (a)(b)

    Female population under 40 years
    old

    Havana city, Cuba
    1998-2003

    Variable

    Odds ratio

    *

    confident
    intervals

     

    p value

    Observation

    Calcium
    consumption

    During puberty

    mg/day

    3.26

    2.70

    1.06 – 11.22

    0.58 – 17.35

    0.0233(a)

    0.1754(b)

    significant

    p < 0.05 **
    (a)

    No significant p
    >

    0.05 (b)

     

    Calcium
    consumption

    in the week
    previous

    mg/day

    0.22

     

    0.33

    0.09 – 0.55

     

    0.15 – 0.75

    0.0001(a)

     

    0.0029(b)

     

     

    Highly
    significant

    p < 0.01 *
    (a)(b)

     

    Coffee cups

    / day

    7.08

    2.50

    1.60 – 33.73

    0.49 – 13.13

    0.0022(a)

    0.2059(b)

    highly

    significant p < 0.001 *
    (a)

    No significant p
    >

    0.05 (b)

     

    Sport practice

    hours/week

    2.01

    2.06

     

     

    1.23 –3.26

    1.20 – 3.53

    0.0026(a)

    0.0046(b)

    highly

    significant p < 0.001 *
    (a((b)

    • (a) lumbar vertebrae and Ward s
      triangle
    • (b) femoral neck.

    Table 4

    Nutritional assessment
    criteria

    Above critical limit reference
    frequency %

    according female population body
    composition indicators *

    Havana city, Cuba
    1998-2003

    Age

     

    indicators

    < 2

    standard
    deviation

     

     

    %

    > 2

    standard
    deviation

     

    %

    5 percentile

     

    %

    95 percentile

    %

     

     

     

    20 – 29

    Adiposity

    index

     

    Relative total
    fat

    %

     

    0,21 *

     

     

    20,8 *

     

    0

     

     

    0

     

    0,73 *

     

     

    42 *

     

    4,8

     

     

    4,5

     

    0,29 *

     

     

    22,3 *

     

     

     

     

     

    4,8

     

     

    4,5

     

    0,79 *

     

     

    44,6 *

     

    4,8

     

     

    4,5

     

     

     

    30 – 39

    Adiposity

    Index

     

    Relative total
    fat

    %

     

     

    0

     

    4,5

     

     

    31,8

     

    36,4

     

     

    4,5

     

    4,5

     

     

    13,6

     

    13,6

     

     

    40 – 49

    Adiposity

    Index

     

     

    Relative total
    fat

    %

     

    0

     

     

    0

     

    42

     

     

    42

     

    0

     

     

    0

     

    36,8

     

     

    33,3

     

     

     

     

     

    50 – 59

    Adiposity

    Index

     

     

    Relative total
    fat

    %

     

    0

     

     

    0

     

    66

     

     

    62

     

    0

     

     

    0

     

    47,6

     

     

    47,6

     

     

     

    60 – 69

    Adiposity

    Index

     

     

    Relative total
    fat

    %

     

    0

     

     

     

     

    0

     

    83

     

     

     

     

    83

     

     

     

     

     

    0

     

     

     

    0

     

    66

     

     

     

    50

    Table 5

    Obesity assessment
    criteria

    Above critical limit reference *
    frequency %

    according female population body
    composition indicators

    Havana city, Cuba
    1998-2003

     

     

    Age

     

     

     

    Indicators

    %

     

     

    > 2 standard deviation
    *

     

     

     

     

    %

     

     

     

    >95 percentile
    *

     

     

     

     

    %

     

     

     

     

    20 – 29

     

    Trunk fat

    (a)

    Arms fat

    (b)

    Legs fat

    ( c )

    40,5

    55,0

    39.6

    6,3

    0

    6,3

     

     

    42.3

    52,0

    40.2

    0

    0

    0

     

     

    30 – 39

    Trunk fat

    (a)

    Arms fat

    (b)

    Legs fat

    ( c )

     

     

    6,3

    6,3

    12,5

     

    6,3

    44

    12,5

     

    40 – 49

    Trunk fat

    (a)

    Arms fat

    (b)

    Legs fat

    ( c )

     

    8,3

    16,7

    25,0

     

    0

    50,0

    25,0

     

    50 – 59

    Trunk fat

    (a)

    Arms fat

    (b)

    Legs fat

    ( c )

     

    66,0

    47,0

    27,0

     

    40,0

    73,0

    20,0

     

    60 – 69

    Trunk fat

    (a)

    Arms fat

    (b)

    Legs fat

    ( c )

     

    67,0

    67,0

    50,0

     

    33,3

    67,0

    33,3

    • (a) variance analysis accordin age.. highly
      significant t 7.2, p<0.00,.
    • (b) " " " t 9.85, p<0.00,
    • ( c ) " " " t 6.9, p<0.00.

    Table 6

    Osteoporosis risk

    Prevalence according skeletal site
    (%)

    Havana women 50-59 years old according
    ethnical procedence

    (> – 2,5 standard deviation
    (a))

    comparative analysis using different
    reference data (b)(c)

    Cuba, 2003

     

    Skeletal

    Site

     

     

    Havanan

    women

    (mean)

    (a)

     

    European

    Havanan

    women

    (a)

     

    half-breeds
    Havanan

    women

    (a)

     

    Afro

    Havanan

    women

    (a)

     

    North

    Mexico

    (b)

     

    Center

    Mexico

    (b)

     

    Rochester

    Minnesota

    ©

    Vertebra

    g/cm2(a-p)

    6,5

    4

    14,8

    5,6

    30,3

    15,4

    7,5

    Vertebra /
    height(a-p)

    9,5

    4

    16,7

    5,6

     

     

     

    Femoral neck

    g/cm2

    2,5

    5,4

    0

    0

    12,3

    14,2

    28,4

    Femoral neck

    /height

    3

    10,1

    0

    0

     

     

     

    Ward triangle
    g/cm2

    5,4

    9,4

    0

    5,3

     

     

    44,7

    Ward triangle/

    height

    18,8

    10,9

    0

    0

     

     

    44,3

    Trochanter
    g/cm2

    4

    4,7

    1,9

    0

     

     

     

    Trochanter/

    height

    4

    3,1

    0

    0

     

     

     

    Whole body

    g/cm2

    10

    13,3

    9,1

    0

     

     

    13,3

    Whole body /

    height

    6,7

    0

    9,1

    0

     

     

    9,7

    Height

    Cms

    157,07

    _+_ 5,9

    157,02

    _+_5,4

    156,3

    _+_6,6

    159,9

    _+_6,7

     

     

     

    (b) Deleze ,M., Cons-Molina, F.,
    Villa, A.R.,Morales-Torres, J., et al.Geographic differences in
    bone mineral density of mexican women.Osteoporos Int (2000) 11:
    562-569

    (c ) Melton III,L.J., Khosla, S.,Achenbach, S.J.,
    O´Connor, M.K., et al.Effects of body size and skeletal
    site on the estimated prevalence of Osteoporosis in women and
    men. Osteoporos Int (2000) 11: 977-983

     

     

     

     

    Dra. Carmen Santos Hernandez

    Centre of Medical Surgery Investigations. CIMEQ. Havana
    city, Cuba

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